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Baozhu Feng, Han Nie,. "Optimization of Online Advertising Decision Combination Based on the Attribution of Consumer Behavior Big Data". Journal of Electrical Systems 20, n. 2 (4 aprile 2024): 1981–87. http://dx.doi.org/10.52783/jes.1645.
Testo completoAbstract (sommario):
In the field of internet advertising, associated products based on various big data algorithms are widely presented on consumers’ browsing pages in order to increase their purchasing interest. With the help of computer big data processing, online advertisers can better grasp the shopping needs of consumers. This study proposes a chance constrained programming optimization model (CC-PR) for budget allocation of advertisers in a dynamic and complex consumer behavior context, based on the premise of analyzing consumers’ shopping journey from the perspective of the attribution of consumer behavior effects. It models different online behaviors generated by consumers’ interest transfer at different shopping stages. The characteristic of this method is to simulate changes in consumer psychology, overcome the difficulty of predicting multi-stage behavior of consumers, and extract a model of dynamic generalizable laws of consumer psychology. It dynamically adjusts advertising strategies based on changes in consumer tendencies at different stages. In order to verify the effectiveness of the proposed strategy, this paper introduces batch data from large shopping platforms and compares our method with the baseline method through experiments. The results show that the CC-PR method proposed in this paper has superior performance. A large amount of consumer behavior data can help advertisers make more accurate advertising decisions, and the method proposed in this article is also a good example of the application of computer big data processing in the field of online advertising.
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Liu, Shengchen. "Analysis of implementation for big data techniques in consumer behavior". Applied and Computational Engineering 53, n. 1 (28 marzo 2024): 166–72. http://dx.doi.org/10.54254/2755-2721/53/20241342.
Testo completoAbstract (sommario):
Consumer behavior can refer to both the purchasing behavior of consumers towards goods and the decision-making behavior of consumers when choosing goods, the research in this field involves psychology, marketing, and other disciplines. As a popular data mining and processing technology, big data technology has powerful information analysis capabilities. Therefore, with this in mind, applying big data technology to consumer behavior research can greatly improve the efficiency. This study focuses on the implementation for big data techniques in consumer behavior, including application scenarios, application methods, as well as application efficiency. The AIDMA, AISAS, and SOR models are suitable for using big data analysis technology. Big data technology helps enterprises influence external factors in consumer behavior factors, thereby influencing consumer decision-making behavior through internal perception factors. Overall, these results aim to collect and summarize relevant knowledge about consumer behavior and big data for future scholars to investigate and explore the implementation schemes.
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Yang, Wenjun, e Jia Guo. "Consumers’ Purchase Behavior Preference in E-Commerce Platform Based on Data Mining Algorithm". International Journal of Circuits, Systems and Signal Processing 16 (14 gennaio 2022): 603–9. http://dx.doi.org/10.46300/9106.2022.16.75.
Testo completoAbstract (sommario):
E-commerce platform can recommend products to users by analyzing consumers’ purchase behavior preference. In the clustering process, the existing methods of purchasing behavior preference analysis are easy to fall into the local optimal problem, which makes the results of preference analysis inaccurate. Therefore, this paper proposes a method of consumer purchasing behavior preference analysis on e-commerce platform based on data mining algorithm. Create e-commerce platform user portrait template with consumer data records, select attribute variables and set value range. This paper uses data mining algorithm to extract the purchase behavior characteristics of user portrait template, takes the characteristics as the clustering analysis object, designs the clustering algorithm of consumer purchase behavior, and grasps the common points of group behavior. On this basis, the model of consumer purchase behavior preference is established to predict and evaluate the behavior preference. The experimental results show that the accuracy rate of this method is 91.74%, the recall rate is 88.67%, and the F1 value is 90.17%, which are higher than the existing methods, and can provide consumers with more satisfactory product information push.
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Géci, Andrej, Ľudmila Nagyová, Stanislav Mokrý e Jana Rybanská. "Investigation of consumer behaviour at selected market commodity". Potravinarstvo Slovak Journal of Food Sciences 13, n. 1 (28 dicembre 2019): 925–32. http://dx.doi.org/10.5219/1230.
Testo completoAbstract (sommario):
Consumer behavior is an unexplored area of life for all buyers and sellers alike. Knowledge of consumer behavior brings better market orientation and more consistent establishment of individual products in consumers' shopping baskets. In examining this behavior, the authors of the paper focus on questions such as why, how, where, when, and how much consumers are willing and able to buy at a particular market price. The behavior in question is influenced by several factors (cultural, social, psychological and personality) that influence the final consumer decisions. The main objective of the present document is to evaluate consumer behavior, their purchasing preferences and also to make decisions when buying a particular food product – tea. The primary data were obtained through a questionnaire survey carried out on a sample of 640 respondents. The questionnaire was divided into two basic parts - the demographic part and the part dealing with consumer behavior at the selected market commodity. In the questionnaire processing the respondents were filtered based on their answers. The research has shown that more than 78% of respondents consume tea while women consume it more (50%). Flavor (56.3%) proved to be the most important factor in the selection of a particular tea. Almost half of the respondents reported consuming cut tea (46.5%). In the present document, assumptions were formulated which serve for a deeper analysis of the issue. The relevance of the formulated assumptions was verified by the XLSTAT statistical software. Data were evaluated by qualitative statistics – Chi-square test of good compliance, Fisher's exact test, Mann Whitney test and Friedman test.
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López-Gómez, Rafael, Laura Panizo e María-del-Mar Gallardo. "Flextory: Flexible Software Factory of IoT Data Consumers". Sensors 24, n. 8 (16 aprile 2024): 2550. http://dx.doi.org/10.3390/s24082550.
Testo completoAbstract (sommario):
The success of the Internet of Things (IoT) has driven the development, among others, of many different software architectures for producing, processing, and analyzing heterogeneous data. In many cases, IoT applications share common features, such as the use of a platform or middleware, also known as message broker, that collects and manages data traffic between endpoints. However, in general, data processing is very dependent on the case study (sensors that send temperature data, drones that send images, etc.). Thus, the applications responsible for receiving and processing data, which we call consumers, have to be built ad hoc, since some of their elements have to be specially configured to solve specific needs of the case study. This paper presents Flextory, a software factory tool to make it easier for IoT developers to automatically construct configurable consumer applications, which we call FLEX-consumers. Flextory guides developers through the process of generating Java consumers by selecting some desired features such as, for instance, the particular communication protocol to be used. This way, the developer only has to concentrate on designing the algorithm to process the data. In short, the use of Flextory will result in consumer applications with configurable behavior, namely FLEX-consumers, that can connect to a messaging server (for example RabbitMQ) and process the received messages.
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Ghosh, Tathagata, e Venu Gopal Rao. "Consumer Confusion in Mobile Application Buying". International Journal of E-Business Research 10, n. 4 (ottobre 2014): 52–70. http://dx.doi.org/10.4018/ijebr.2014100104.
Testo completoAbstract (sommario):
This study aims to examine effects of consumer confusion proneness on two consumer behavior variables, word of mouth and buying decision, in a confusion prone product market like smartphone and mobile applications (app). Additionally, the study examines the moderating influence of a personality trait variable pertinent to information processing – need for cognition, on the afore-mentioned relationships. Data were collected via a survey from 254 post-graduate students and analyzed with the help of structural equation modeling with a partial least square (PLS) approach using SmartPLS 2.0. Research findings indicate that the dimensions of consumer confusion proneness behave differently in terms of their linkages with consumer behavior. Further, as expected, consumers' need for cognition also play a major moderating role which helps to fathom the concept of consume confusion in the context of mobile and smartphone applications. Academic and managerial implications as well as scope for future research are also discussed.
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Simonović, Zoran, e Nikola Ćurčić. "Consumer behavior related to buying wines on the retail market in the City of Niš". Strategic Management 26, n. 4 (2021): 65–71. http://dx.doi.org/10.5937/straman2104065s.
Testo completoAbstract (sommario):
The subject matter of the paper is research in consumer behavior in connection with the purchase of wines of both domestic and foreign brands on the market of the City of Niš. The paper is structured so as to perceive the issue from several aspects. In the first place, our wish was to determine whether the respondents are regular wine consumers, and which sorts of wine they consume, and how many of them are not wine regular consumers. An effort was made to determine consumer habits via survey research. The examination method that implied personal examination using a questionnaire was applied. The suitable sample included 230 respondents from the territory of the City of Niš. The research was conducted in November 2019. While processing the data, it was noticed that a larger number of the respondents were regular wine consumers, namely consuming specific brands. The respondents mainly preferred domestic producers' wines. The results obtained can be observed at the level of the strategic marketing of the offering companies. The research study provides an insight in connection with the different aspects of the consumer behavior of those who consume wine, both at the general level and in connection with the choice of brands.
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Schulz, Lee L., Ted C. Schroeder e Katharine L. White. "Value of Beef Steak Branding: Hedonic Analysis of Retail Scanner Data". Agricultural and Resource Economics Review 41, n. 2 (agosto 2012): 260–73. http://dx.doi.org/10.1017/s1068280500003397.
Testo completoAbstract (sommario):
Consumers rely on experience and credence attributes when purchasing beef from retailers. It is essential for all beef industry sectors to recognize the complexity of consumer buying behavior. A hedonic model is estimated to determine if there are incentives to brand beef steaks, the types of brands that entertain price premiums, and the level of existing premiums. Most branded steaks garnered premiums along with organic claims, religious processing claims, and premium cuts. Factors influencing brand value were new brands targeting emerging consumer trends, brands with regional prominence, and brands positioned as special label, program/breed specific production, and store labels.
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Singh, Richa. "Asses the Behaviour of Consumers for Enhancing Claims Processing and Fraud Detection in Insurance Through Blockchain Technology". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n. 04 (28 aprile 2024): 1–5. http://dx.doi.org/10.55041/ijsrem32349.
Testo completoAbstract (sommario):
The rapid advancement of blockchain technology presents a transformative opportunity for the insurance industry, particularly in claims processing and fraud detection. This paper explores the impact of blockchain technology on consumer behavior and its potential to enhance the efficiency and security of insurance operations. We begin by providing a comprehensive overview of blockchain technology, outlining its decentralized nature, immutability, and transparency. We then delve into the current challenges faced by the insurance industry, including prolonged claims processes and prevalent fraudulent activities. Through a mixed-methods approach, incorporating both quantitative surveys and qualitative interviews, we analyze how consumers perceive and interact with blockchain-based insurance solutions. The findings suggest that while there is general awareness about blockchain, its understanding remains limited among consumers. However, our study indicates a positive correlation between blockchain adoption and increased trust in insurance processes, driven by the technology's inherent characteristics of security and data integrity. Furthermore, we discuss several blockchain implementations, such as smart contracts that automate claims adjudication, and decentralized applications that ensure transparency and reduce opportunities for fraud. Finally, we propose a framework for insurance companies to effectively integrate blockchain technology, emphasizing consumer education, stakeholder engagement, and regulatory compliance. This study not only highlights the transformative potential of blockchain in reshaping consumer behavior and operational processes in insurance but also provides strategic insights for stakeholders aiming to harness these innovations for improved service delivery and fraud mitigation. The study titled "Assess the behavior of consumers for enhancing claims processing and fraud detection in insurance through blockchain technology" aims to explore how blockchain can revolutionize the insurance sector by influencing consumer behavior, improving claims processing, and enhancing fraud detection mechanisms. The focus of this research involves several key areas. This study explores the behavior of consumers in the context of enhancing claims processing and fraud detection in the insurance sector through the adoption of blockchain technology. Blockchain, known for its decentralized and transparent nature, holds promise for revolutionizing traditional insurance processes by improving transparency, efficiency, and security. However, successful integration relies heavily on consumer acceptance and adoption. This research aims to investigate consumer attitudes, perceptions, and intentions towards blockchain-based insurance solutions. Drawing upon established theories of technology acceptance and consumer behavior, the study examines factors influencing consumer trust, privacy concerns, and perceived benefits of blockchain in insurance. Additionally, demographic variations in consumer behavior and the impact of cultural and regulatory factors are explored. Through a comprehensive literature review and empirical research methods such as surveys and interviews, this study seeks to provide insights into how insurers can effectively engage consumers, address concerns, and leverage blockchain technology to enhance claims processing efficiency and fraud detection capabilities. The findings aim to inform strategic decision-making for insurance companies, regulators, and policymakers, facilitating the successful adoption and implementation of blockchain solutions in the insurance industry.
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N. H. Rachmani, A. Apriantini e L. Cyrilla E. N. S. D. "Analisis Perilaku Konsumen Usia Muda di Kota Bogor dalam Mengonsumsi Susu dan Produk Olahannya di Masa Pandemi Covid 19". Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan 10, n. 1 (31 gennaio 2022): 15–20. http://dx.doi.org/10.29244/jipthp.10.1.15-20.
Testo completoAbstract (sommario):
During the COVID-19 pandemic, people are started to consume foods that are highly nutritious to increased their immunity, one of them is by consuming milk and its processed products like kefir, yogurt. Milk is one of the foods favored by the community because it is rich in health benefits. The demand for this product is also increased every year. Consumer behavior was always changing along with consumer needs that follow the conditions and developments of the times. Consumers will choose products with good quality and ful fill what their needs, as well as dairy products. This study aims to analyze consumer decisions in consuming milk and its processed products in the Bogor city area during the covid 19 pandemic. The research was carried out with the stages of determining respondents, identify factors that influence consumer behavior, collecting and analyzing data. Respondents are people who live in Bogor City with an age range of 20 to 30 years purposively as many as 108 respondents. Data processing and analysis was carried out using the Spearman rank correlation test to determine the relationship between knowledge and situational variables on the decision to consume milk and its processed products. The results showed that the level of knowledge and situational had a significant and direct relationship with consumer decisions (P<0.01). This shows that the higher level of consumer knowledge of products with supportive conditions, the consumer’s decision to consume milk and its processed products is also getting stronger.
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Finolda, Finolda, e Metta Padmalia. "THE ANALYSIS OF CONSUMERS’ PURCHASING FACTORS ON BOGA SERVICE START-UP". Jurnal Entrepreneur dan Entrepreneurship 8, n. 1 (25 marzo 2019): 25–32. http://dx.doi.org/10.37715/jee.v8i1.1114.
Testo completoAbstract (sommario):
This study aims to analyze the factors of consumer behavior in purchasing Empal Catering Bibik. The factors examined in this study are cultural factors, social factors, personal factors and psychological factors. The population in this study were consumers of Empal Catering Bibik. The sample size of 40 respondents. The research samples were collected using non-probability sampling methods and purposive sampling techniques. The research data was taken by using questionnaires which were distributed to respondents. Data analysis using the second order confirmatory analysis factor analysis. The results of data processing shows that consumer behavior factors in purchasing consumer food service start-ups are personal factors and psychological factors.
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Halkin, Andrii. "Emotional State of Consumer in the Urban Purchase: Processing Data". Foundations of Management 10, n. 1 (11 luglio 2018): 99–112. http://dx.doi.org/10.2478/fman-2018-0009.
Testo completoAbstract (sommario):
AbstractThe research aims to assess the emotional state of the consumer during the purchase process in the urban retail chains. Galvanic skin response (GSR) and heart beat per minute (BPM) are used to assess the effect of environment on emotional fatigue of the consumer during shopping. Stress index was used for evaluating the results of different shops visited by a consumer. The conceptual framework of emotional fatigue research has been presented. The method was also used to estimate the level of emotional fatigue of a consumer during his or her visit to any shop on each purchase stage. The results can improve the quality of trade services by creating more favorable environment for shopping, planning sales areas, shops, sales analysis, advertising campaigns, and analysis of customers’ behavior. Developing a method to process and assess a consumer’s emotional state in purchase elements extend the neuromarketing theory by including the real environment component in it.
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Li, Yuanqiao, e Yuanying Deng. "Analysis of the impact of cross-border e-commerce on consumer behavior anxiety from the perspective of consumer psychology". CNS Spectrums 28, S1 (marzo 2023): S31—S32. http://dx.doi.org/10.1017/s1092852923001062.
Testo completoAbstract (sommario):
BackgroundThe research object of consumer psychology is consumers. By studying the psychological and behavioral changes of consumers in the process of consumption, we can summarize relevant consumption laws and apply them to commercial operations to improve sales performance. The rapid development of e-commerce has promoted the continuous development of cross-border e-commerce. Many consumers are keen on overseas fashion brands and have bought a large number of fashion brand clothing and other products without considering the actual use of the goods, thus causing anxiety and regret for their excessive consumption afterwards. In this kind of consumer groups, college students are very easy to appear excessive consumption behavior. Therefore, the article analyzes the impact of cross-border e-commerce on consumer behavior anxiety and behavior from the perspective of consumer psychology.Subjects and MethodsThe study selected college students in the consumer group as the research object, and randomly selected 460 college students from different genders, ages, majors, etc. These students have different consumer psychologies and behaviors. Types of overseas shopping commodities, reasons for purchasing and students’ views on cross-border e-commerce platforms were recorded and analyzed. The impact of cross-border e-commerce on consumer behavior anxiety and behavior was explored, and the reasons for college students’ anxiety, and use 1-5 grades were analyzed. The data processing software is Statistic software.ResultsAfter statistical processing, the anxiety level of college students in different genders with different issues of cross-border e-commerce platforms is shown in Table 1. In Table 1, students of different genders have different anxiety levels on different issues of cross-border e-commerce platforms. Different from male college students, female college students have more anxiety about high fake products and false propaganda (P < 0.05).Table 1.Anxiety of college students of different gendersGenderHigh counterfeit productsFalse propagandaHigh priceSome products are seriously damagedMale4.24±0.284.10±0.533.88±0.394.01±0.25Female4.45±0.334.37±0.183.91±0.274.11±0.44P<0.05<0.05>0.05>0.05ConclusionsThe development of cross-border e-commerce has brought more goods to consumers and promoted their consumption, but at the same time, there are also some drawbacks, such as exaggerated publicity, false publicity, etc., which has led to consumers’ excessive consumption, led to the emergence of college students’ “borrowing and lending” behavior, and increased their anxiety. While consumers need rational consumption and financial management, cross-border e-commerce should guarantee after-sales service and establish a good reputation.
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Fahlevi, Muhammad Riza, Bachrudin Ali Achmad e Emy Rahmawati. "PENGARUH STRATEGI PEMASARAN DAN MEDIA SOSIAL TERHADAP PERILAKU KONSUMEN CAFE MALAM". Jurnal Bisnis dan Pembangunan 10, n. 2 (30 giugno 2021): 11. http://dx.doi.org/10.20527/jbp.v10i2.10991.
Testo completoAbstract (sommario):
A good and right relationship marketing strategy and social media will lead to good consumer behavior as well. This study aims to examine the effect of marketing strategy (X1) and social media (Instagram) (X2) on consumer behavior (Y) café Malam Banjarmasin. This research is a descriptive study, with a sample of 100 at café Malam Banjarmasin consumers. The data collection used a questionnaire, while the data analysis used multiple linear regression. The variables studied were Likert scale. The questionnaire was tested by validity and reliability tests. Data processing using SPSS version 25.0.The t test results on consumer behavior are valid because r > 0.3 and the reliability test shows reliable because alpha cronbach > 0.6. The normality test is obtained 0.05 and it is said that the data is normally distributed and on the normal line of the plot, you can see that the points from the graph spread around the diagonal line and follow the diagonal line. The more the marketing strategy variable (X1) increases, the consumer behavior (Y) increases, while the marketing strategy variable (X1) decreases, the consumer behavior decreases(Y). The conclusion of this study is that there is a marketing strategy and social media that affect consumer behavior by 57%.Keywords: Marketing strategy, social media, consumer behavior.
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Wan, Huizhen. "Behavior of Sports Tourism Consumers Based on Cloud Computing and Mobile Big Data". Journal of Electrical and Computer Engineering 2022 (18 giugno 2022): 1–14. http://dx.doi.org/10.1155/2022/7009345.
Testo completoAbstract (sommario):
With the rise of the sports tourism industry, the group of sports tourism consumers is also growing. The study of the behavior of sports tourism consumers has therefore become a popular topic. This paper firstly organizes and analyzes the research results of scholars, finds out the deficiencies, and finds out the methods suitable for this research. On this basis, this research is practiced, and the methods found are successfully improved to add personal innovation points. Then, the definition and characteristics of cloud computing and mobile big data are elaborated. Next, this paper selects some consumers and their consumption behaviors participating in X city’s sports tourism town, golf sports tourism, skiing sports tourism, and outdoor sports tourism projects as the research objects and conducts investigation and research by means of questionnaires and interviews. At the same time, the managers and operators of some sports tourism scenic spots are selected as the research objects, and the investigation and research are carried out through the interview method, which provides a realistic basis for the study of consumer behavior. According to the survey, the proportion of sports tourism consumers who choose to travel in summer is as high as 90.10%.
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Dwitama, Ikhtiar Kurnia, e Indah Handaruwati. "PENGARUH EKUITAS MEREK PRODUK SUSU BEAR BRAND TERHADAP PERILAKU PEMBELIAN KEMBALI PASCA PANDEMI COVID 19". Jurnal Industri Kreatif dan Kewirausahaan 7, n. 1 (30 giugno 2024): 97–106. http://dx.doi.org/10.36441/kewirausahaan.v7i1.2346.
Testo completoAbstract (sommario):
The Covid-19 pandemic has caused panic buying of certain products such as hand sanitizers, masks, vitamins and bear brand dairy products. This change in behavior resulted in the product being scarce and experiencing an increase in price. This study aims to provide empirical evidence of the brand equity dimension, namely awareness, association, perception of quality and brand loyalty partially and simultaneously on Buyback Behavior. The research method used is quantitative. The population in this study is consumers of bear brand milk, with a sample of 105 people. The determination of the sample was carried out by the purposive sampling method with the characteristics of consumers who had consumed dairy products during the pandemic and were still consuming until after the pandemic. Data processing using SPSS. The results of this study are known to have an influence between brand equity and repurchase decisions. Consumer loyalty in making repeat purchases is due to consumer awareness of health by consuming milk.
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Shen, Yongchao, Wei Shan e Jing Luan. "Influence of aggregated ratings on purchase decisions: an event-related potential study". European Journal of Marketing 52, n. 1/2 (12 febbraio 2018): 147–58. http://dx.doi.org/10.1108/ejm-12-2016-0871.
Testo completoAbstract (sommario):
Purpose In an online shopping environment, individual reviews and aggregated ratings are important anchors for consumers’ purchasing decisions. However, few studies have considered the influence of aggregated ratings on consumer decision-making, especially at the neural level. This study aims to bridge this gap by investigating the consumer decision-making mechanism based on aggregated ratings to uncover the underlying neural basis and psychological processing. Design/methodology/approach An event-related potential experiment was designed to acquire consumers’ electrophysiological records and behavioral data during their decision-making processes based on aggregated ratings. The authors speculate that during this process, review valence categorization (RVC) processing occurs, which is indicated by late positive potential (LPP) components. Findings Results show that LPP components were elicited successfully, and perceptual review valence can modulate its amplitudes (one-star [negative] and five-star [positive] ratings evoke larger LPP amplitudes than three-star [neutral] ratings). The electroencephalogram data indicate that consumer decision-making processes based on aggregated ratings include an RVC process, and behavioral data show that easier review valence perception makes the purchase decision-making easier. Originality/value This study enriches the extant literature on the impact of aggregated ratings on consumer decision-making. It helps understand how aggregated ratings affect consumers’ online shopping decisions, having significant management implications. Moreover, it shows that LPP components can be potentially used by researchers and companies to evaluate and analyze consumer emotion and categorization processing, serving as an important objective physiological indicator of consumer behavior.
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Regalado-Pezúa, Otto, Orly Carvache-Franco, Mauricio Carvache-Franco, Wilmer Carvache-Franco, Maribel Ortiz-Soto e Guisell Larregui-Candelaria. "Effect of negative emotions in consumption during the COVID-19 pandemic: A study from Peru". PLOS ONE 18, n. 11 (3 novembre 2023): e0293932. http://dx.doi.org/10.1371/journal.pone.0293932.
Testo completoAbstract (sommario):
The research examines the negative consumer emotions generated by the perception of social networks or traditional media with consumer behavior during the covid_19 pandemic. The study was developed in Peru with a sample of 220 consumers; the design is quantitative and structural equations were used for data processing. The results indicate that social networks and traditional media are not related to negative emotions, but are related to the change in consumer behavior in the purchase of more products and new products. The research has theoretical implications since it provides evidence to the literature that the negative emotions generated during the covid_19 pandemic are related to changes in consumer behavior, which affect the purchase of more products and new products. The practical implications of the research is for businessmen on the causes of changes in consumer behavior generated during crises. like the COVID-19 pandemic.
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Ivanova, Natalia, Anastasiia Volkova e Olga Patosha. "THE RELATIONSHIP BETWEEN SOCIAL IDENTITY AND CONSUMER BEHAVIOR". DIEM: Dubrovnik International Economic Meeting 7, n. 1 (febbraio 2022): 72–79. http://dx.doi.org/10.17818/diem/2022/1.8.
Testo completoAbstract (sommario):
The article demonstrates the results of the study of the relationship between the characteristics of social identity and consumer preferences when choosing products of domestic manufacturers. In the context of the growing role of the economic environment, there is an increasing interest in understanding the role of socio-psychological mechanisms of consumer behavior. It is relevant to study the relationship between the components of social identity and the features of its consumer behavior when making decisions about goods. The paper examines the relationship between the cognitive and value components of social identity and consumer preferences of a person when choosing domestic goods. The sample consisted of 62 people aged 20 to 55 years (M = 33.06; SD = 9.73). As research methods, were used open and projective questions, the methods of" Who am I "by M. Kuhn, T. McPartland, and a modification of the" Must-test " method by P. N. Ivanov to study the value component. Statistical processing of the obtained data was carried out using correlation-search factor analysis using the statistical package SPSS 19. The relationship between the indicators of identity and consumer preferences in relation to the "attached" characteristics of goods that are of particular importance to a person is revealed. Preference for goods produced by domestic producers is positively associated with civic, ethical, religious, and patriotic characteristics of identity, and negatively with material values. Thus, the relationship between cognitive and value indicators of social identity and consumer preferences of the individual is revealed.
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Nagar, Anjali. "CONSUMER BEHAVIOURL ANALYSIS IN E COMMERCE AS MYNTRA USING DATA ANALYTICS". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n. 04 (1 maggio 2024): 1–5. http://dx.doi.org/10.55041/ijsrem32567.
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"Millennials exhibit significant changes in their shopping behavior, particularly when it comes to online shopping. Their tech-savviness plays a crucial role in their affinity for online purchases. Nowadays, everything from clothing to cosmetics, electronics, and groceries is bought online. Researchers actively study the factors influencing online shopping behavior among the potential target audience. This study primarily aims to understand how demographic factors contribute to variations in online shopping behavior. Product reviews serve as a method to establish customer relativity and frame customer opinions. These reviews act as opinion leaders, shaping perceptions that become prerequisites for forming expectations. Comparing actual performance with these predetermined expectations is essential. Housewives, who spend more time on household activities, exhibit different consumer behavior toward online shopping compared to working women who spend half their day outside the house. Economic status significantly impacts preferences and needs, especially in online shopping. Age also plays a key role in consumer behavior among the potential target audience. Electronic gadgets and devices like cellphones, laptops, pen drives, and printers are predominantly purchased through online platforms. Consequently, product literature, reviews, and referencing become critical when customers visit a company’s website or a general e-commerce platform. For e-commerce companies, understanding customer traffic reasons and expectations is vital. Factors such as user interface quality, processing speed, easy payment gateways, shopping window design, extensive product comparison options, and customer reviews significantly influence purchasing decisions in the online shopping landscape." Keywords: Online Shopping, Consumer Behaviour, MarketingTechniques, Sales Promotions.
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Neckel, Anderson, e Ricardo Boeing. "A influência do comportamento de inovatividade do consumidor online de eletroeletrônicos em relação ao processo de obsolescência programada". Revista de Administração da UFSM 12, n. 1 (13 maggio 2019): 1. http://dx.doi.org/10.5902/1983465916839.
Testo completoAbstract (sommario):
The objective of this paper is to analyze the influence of online consumer behavior innovativeness on the planned obsolescence process. Through a theoretical analysis of innovativeness constructs, consumer behavior and planned obsolescence process, the following scales and the following model for research development were employed: Domain Specific Innovativeness and New Involvement Profile scales and the Model of Diffusion of Innovations. The research approach uses mixed methods and was performed with two focus groups after a survey was carried out. The sample comprises 448 consumers of electrical and electronic equipment sold on the internet who reside in the Southern region of Brazil. Data processing was based on a multivariate data analysis and results show that innovativeness behavior has a significant positive influence on the planned obsolescence process.
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Williams, John. "Consumer Behavior Analysis in the Age of Big Data for Effective Marketing Strategies". International Journal of Strategic Marketing Practice 6, n. 2 (4 luglio 2024): 36–46. http://dx.doi.org/10.47604/ijsmp.2749.
Testo completoAbstract (sommario):
Purpose: The aim of the study was to examine the consumer behavior analysis in the age of big data for effective marketing strategies. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that consumer behavior analysis in the age of big data presents a transformative opportunity for businesses to enhance their marketing strategies and better understand their target audiences. The studies discussed demonstrate the effectiveness of leveraging Big Data analytics in various domains such as social media sentiment analysis, personalized marketing, predictive analytics, customer segmentation, location-based marketing, and real-time personalization. These strategies enable businesses to tailor their marketing efforts more precisely, leading to increased consumer interest, improved engagement, and higher conversion rates. Unique Contribution to Theory, Practice and Policy: Social Identity Theory, Information Processing Theory & Technology Acceptance Model (TAM) may be used to anchor future studies on Consumer Behavior Analysis in the Age of Big Data for Effective Marketing Strategies. Promote the adoption of advanced data analytics tools and techniques by businesses to enhance their marketing strategies. Companies should invest in robust data infrastructure, analytics platforms, and talent to effectively collect, analyze, and interpret consumer data. By leveraging predictive analytics, sentiment analysis, customer segmentation, and real-time personalization, businesses can tailor their marketing efforts to individual consumer preferences and behaviors, leading to improved engagement, customer satisfaction, and ultimately, increased sales and profitability. Advocate for the development of regulatory frameworks that balance consumer privacy rights with the benefits of data-driven marketing. Policymakers should collaborate with industry stakeholders to establish guidelines and standards for ethical data collection, usage, and storage.
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Virijević-Jovanović, Saša, Ivana Jošanov-Vrgović e Tatjana Janovac. "Research of impact of emotional motivators on consumer behavior". Skola biznisa, n. 2 (2020): 107–25. http://dx.doi.org/10.5937/skolbiz2-27751.
Testo completoAbstract (sommario):
Regarding the importance of psychological processes in the consumer behavior, the article examines the influence of emotional motivators on purchase decisions in cosmetics industry. The empirical research was conducted from February to March 2020, on the sample of 125 respondents in Serbia. The participants answered the questions about the positive and negative emotions that occurred during the purchasing process. When defining the questionnaire, we started from the fact that emotions, which influence consumer behavior can be integral or incidental emotions. The aim of the study was to identify the emotions that have the strongest effect on consumers when purchasing cosmetic products. During the statistical data processing, the following techniques and methods were implemented: the descriptive statistical measures (frequencies and percentage, arithmetical midranges), the measures of variability, the correlation method. The survey indicated that the most dominant emotions that affect consumer purchasing decisions related to cosmetics products in the Republic of Serbia are positive emotions. The majority of respondents recognized hope as the most important emotion in their buying behavior.
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Pingfen Liu. "Consumer Behavior Prediction and Market Application Exploration Based on Social Network Data Analysis". Journal of Electrical Systems 20, n. 6s (29 aprile 2024): 806–11. http://dx.doi.org/10.52783/jes.2744.
Testo completoAbstract (sommario):
It examines the junction of consumer behavior prediction and market application exploration using social network data analysis. Using the massive quantity of information available on social media sites, they use complex data mining tools to estimate consumer opinions, preferences, and behaviours. They discover useful insights that inform strategic decision-making processes for enterprises across several industry domains by combining approaches such as predictive modelling, natural language processing, and social network analysis. Results show that social network data analysis can effectively anticipate consumer actions and detect market trends. They employ sentiment analysis to categorize user sentiments regarding products, companies, and marketing campaigns, delivering actionable insights for marketing plan optimization. Furthermore, predictive modelling helps us to estimate purchase intent, segment clients, and spot new trends, allowing businesses to customize their products and improve customer engagement. Additionally, this study emphasizes the significance of addressing ethical concerns and privacy consequences in social network data analysis. Businesses that embrace transparent and responsible data policies can create consumer trust while also mitigating the dangers related to data misuse.
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Jang, Jisu, e Jiyun Kang. "CnSR: Exploring Consumer Social Responsibility Using Machine Learning-Based Topic Modeling with Natural Language Processing". Sustainability 16, n. 1 (25 dicembre 2023): 197. http://dx.doi.org/10.3390/su16010197.
Testo completoAbstract (sommario):
This study delves into Consumer Social Responsibility (CnSR) within the fashion industry, with the goal of understanding consumers’ sustainable and responsible behavior across three major consumption stages: acquisition, utilization, and disposal. While “corporate” social responsibility (CSR) has been extensively studied in the literature, CnSR that sheds light on “individual consumers” has received less attention and is understudied. Using topic modeling, an unsupervised machine learning (ML) technique that uses natural language processing (NLP) in Python, this study analyzed textual data consisting of open-ended responses from 703 U.S. consumers. The analysis unveiled key aspects of CnSR in each of the consumption processes. The acquisition stage highlighted various ethical and sustainable considerations in purchasing and decision making. During the utilization phase, topics concerning sustainable and responsible product usage, environmentally conscious practices, and emotional sentiments emerged. The disposal stage identified a range of environmentally and socially responsible disposal practices. This study provides a solid and rich definition of CnSR from the perspective of individual consumers, paving the avenue for future research on sustainable consumption behaviors and inspiring the fashion industry to create goods and services that are in line with CnSR.
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Neckel, Anderson, e Ricardo Boeing. "Relation between Consumer Innovativeness Behavior and Purchasing Adoption Process: A Study with Electronics Sold Online". International Journal of Marketing Studies 9, n. 3 (29 maggio 2017): 64. http://dx.doi.org/10.5539/ijms.v9n3p64.
Testo completoAbstract (sommario):
This paper aims at analyzing the influence of consumer innovativeness behavior on the purchasing adoption process of products sold on the internet. Through a theoretical framework, the Domain Specific Innovativeness (DSI) and New Involvement Profile (NIP) scales were used in the study. The research approach has a mixed methodology, having both qualitative and quantitative approaches. In the qualitative phase, two focus group were conducted, with the objective of aligning the scales with the main research focus, and in the quantitative phase, an online survey with 448 respondents was applied. Data processing was based on multiple linear regression and results shows that the construct of the consumer innovativeness behavior has an explanatory power (R²) of 59.8% relative to the purchasing adoption process by the consumer. The consumers with a stronger innovativeness behavior showed to have similar characteristics when it came to purchasing innovative electronic products, making it easier to lead them to consumption.
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Widyana, Noor Aisffa, Achyar Eldine e Leny Muniroh. "Daya Tarik Iklan Terhadap Keputusan Pembelian". Manager : Jurnal Ilmu manajemen 2, n. 1 (1 marzo 2019): 91. http://dx.doi.org/10.32832/manager.v2i1.1868.
Testo completoAbstract (sommario):
Ria Busana is a business partnership in the field of fashion that has been in the field since 1999. Dealing with the economic development and business competition situation is growing rapidly, then the various efforts made by Ria Busana Group in order to assist consumers in decision making. In understanding the consumer, the company is expected to provide a positive perception to consumers, in order to create consumer loyalty in terms of shopping in Ria Busana. One of the marketing concepts that can build a positive perception in the minds of consumers is through the activity of advertising attractiveness, it is an activity to persuade consumers to buy products that are being sold and can be used as a reference marketers to predict consumer behavior in the future in the form of repeat action. The purpose of this study is to determine the effect of advertising attractiveness of purchasing decision on Ria Busana Departement Store. In this study data is processed quantitative data, the data used is secondary data company. The analysis method used is simple linear regression analysis, correlation analysis, and hypothesis test, while data processing using SPSS 18.0 for windows.
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Alarcon, Michelle, e Joseph Ha. "Assessment Of Psychological Advertising Along Consumer Rights And The Rule On Section 5 Of The Federal Trade Commission, Part 1 Of 2: Unfairness Doctrine". Journal of Applied Business Research (JABR) 36, n. 4 (1 luglio 2020): 153–70. http://dx.doi.org/10.19030/jabr.v36i4.10351.
Testo completoAbstract (sommario):
Over a century of research and empirical findings have linked advertising with consumer choice based on affective information processing, which many researchers emphasized as unconscious brain processing. This paper examines a variety of empirical findings and historical data on psychological or affective processing which provides evidence that psychological advertising affects consumer behavior and choice. Thereafter, building on existing research and literature, we analyze the legal implications of psychological advertising to stimulate affective or unconscious decisions that impairs rational choice and thus harmful. Based on this argument, we analyze the current federal consumer protection law regulating advertising under Section 5 of the Federal Trade Commission Act (“FTC Act”) which bans unfair and deceptive practices, then present rationales for change followed by a framework for revision. The objectives of such change is to ensure that this regulation upholds consumer rights and provide a consumercentric process that respects free choice. One outcome of this proposal will be a ban on advertising practices that utilize psychological stimuli. The framework will focus on expanding the “unfairness” doctrine of the FTC Act. The Federal Trade Commission (“FTC”) states that “unfair acts or practices injure both consumers and competitors because consumers who would otherwise have selected a competitor’s product are wrongly diverted by the unfair act or practice,” thus an effective customer-centric regulation could postulate a healthier economy.
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Turčínek, Pavel, e Jana Turčínková. "Exploring Consumer Behavior: Use of Association Rules". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, n. 3 (2015): 1031–42. http://dx.doi.org/10.11118/actaun201563031031.
Testo completoAbstract (sommario):
This paper focuses on problematic of use of association rules in exploring consumer behavior and presents selected results of applied data analyses on data collected via questionnaire survey on a sample of 1127 Czech respondents with structure close to representative sample of population the Czech Republic. The questionnaire survey deals with problematic of shopping for meat products. The objective was to explore possibilities of less frequently used data-mining techniques in processing of customer preference. For the data analyses, two methods for generating association rules are used: Apriori algorithm and FP-grow algorithm. Both of them were executed in Weka software. The Apriori algorithm seemed to be a better tool, because it has provided finer data, due to the fact that FP-growth algorithm needed reduction of preference scale to only two extreme values, because the input data must be binary. For consumer preferences we also calculated their means. This paper explores the different preferences and expectations of what customers’ favorite outlet should provide, and offer. Customers based on the type of their outlet loyalty were divided into five segments and further explored in more detail. Some of the found best association rules suggest similar patterns across the whole sample, e.g. the results suggest that the respondents for whom a quality of merchandise is a very important factor typically also base their outlet selection on freshness of products. This finding applies to all types of retail loyalty categores. Other rules seem to indicate a behavior more specific for a particular segment of customers. The results suggest that application of association rules in customer research can provide more insight and can be a good supplementary analysis for consumer data exploration when Likert scales were used.
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John, Dinesh, Qu Tang, Fahd Albinali e Stephen Intille. "An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing". Journal for the Measurement of Physical Behaviour 2, n. 4 (1 dicembre 2019): 268–81. http://dx.doi.org/10.1123/jmpb.2018-0068.
Testo completoAbstract (sommario):
Background: Physical behavior researchers using motion sensors often use acceleration summaries to visualize, clean, and interpret data. Such output is dependent on device specifications (e.g., dynamic range, sampling rate) and/or are proprietary, which invalidate cross-study comparison of findings when using different devices. This limits flexibility in selecting devices to measure physical activity, sedentary behavior, and sleep. Purpose: Develop an open-source, universal acceleration summary metric that accounts for discrepancies in raw data among research and consumer devices. Methods: We used signal processing techniques to generate a Monitor-Independent Movement Summary unit (MIMS-unit) optimized to capture normal human motion. Methodological steps included raw signal harmonization to eliminate inter-device variability (e.g., dynamic g-range, sampling rate), bandpass filtering (0.2–5.0 Hz) to eliminate non-human movement, and signal aggregation to reduce data to simplify visualization and summarization. We examined the consistency of MIMS-units using orbital shaker testing on eight accelerometers with varying dynamic range (±2 to ±8 g) and sampling rates (20–100 Hz), and human data (N = 60) from an ActiGraph GT9X. Results: During shaker testing, MIMS-units yielded lower between-device coefficient of variations than proprietary ActiGraph and ENMO acceleration summaries. Unlike the widely used ActiGraph activity counts, MIMS-units were sensitive in detecting subtle wrist movements during sedentary behaviors. Conclusions: Open-source MIMS-units may provide a means to summarize high-resolution raw data in a device-independent manner, thereby increasing standardization of data cleaning and analytical procedures to estimate selected attributes of physical behavior across studies.
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Erwansyah, Erwansyah. "Digital-Based Consumer Behavior in Support Green Economy". Journal of Community Research and Service 7, n. 1 (23 gennaio 2023): 119. http://dx.doi.org/10.24114/jcrs.v7i1.43316.
Testo completoAbstract (sommario):
As technology advances, people’s preferences for shopping in digital formats will change. Cashless payment systems such as GoPay, OVO, and ShopeePay are increasingly popular among consumers, so Bank Indonesia has issued a new policy to encourage their use. This research was conducted with the aim of knowing the influence of digital-based consumer behavior. This study uses primary data with a sample of application users with GoPay, OVO and ShopeePay respondents in Medan. The data processing method used in this research is using the method of Structural Equation Modeling (SEM). Using SEM can help researchers to assess the nature of measurements and test theoretical relationships (1). The results of this study indicate that there are six hypotheses that have positive results, namely innovativeness, optimism about perceived usefulness. Innovativeness and optimism have a positive effect on perceived ease of use. The results of this study also show that perceived usefulness and perceived ease of use have a positive influence on behavioral intention. While there are four variables in this study rejected, namely insecurity and discomfort have no effect on perceived usefulness. Likewise, insecurity and discomfort have no effect on perceived ease of use.
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Simanjuntak, Pinondang, I. Ketut Satriawan e Sri Mulyani. "ANALISIS KEPUASAN KONSUMEN DENGAN MENGGUNAKAN METODE CUSTOMER SATISFACTION INDEX (Studi Kasus : C’Bezt Taman Griya)". JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI 7, n. 2 (21 maggio 2019): 181. http://dx.doi.org/10.24843/jrma.2019.v07.i02.p02.
Testo completoAbstract (sommario):
The purpose of this study was to know the attributes that are considered important by consumers and to know the level of customer satisfaction at C'Bezt Taman Griya. The method used is Slovin Method for determining samples and customer satisfaction index (CSI) method for data processing. Tests for reliability and validity were carried out at Jaya Fried Chicken Siligita and research site in C’Bezt Taman Griya. The number of samples used was 97 respondents. The attributes that are considered important by consumers based on the level of importance are the taste of food, the behavior of employees in serving consumers, and cleanliness of the location. Based on the level of satisfaction is the speed in serving consumers, taste of food, seriousness in serving consumers. The level of customer satisfaction C'Bezt Taman Griya is 74.63% with the level of Customer Satisfaction criteria that is satisfied.
Keywords: Consumer Satisfaction, Consumen Satisfaction Index, C’Bezt.
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Sulaiman, S. M., P. Aruna Jeyanthy e D. Devaraj. "Smart Meter Data Analysis Using Big Data Tools". Journal of Computational and Theoretical Nanoscience 16, n. 8 (1 agosto 2019): 3629–36. http://dx.doi.org/10.1166/jctn.2019.8338.
Testo completoAbstract (sommario):
In recent years, the problem of electrical load forecasting gained attention due to the arrival of new measurement technologies that produce electrical energy consumption data at very short intervals of time. Such short term measurements become voluminous in very short time. The availability of big electrical consumption data allows machine learning techniques to be employed to analyze consumption behavior of every consumer on a greater detail. Predicting the consumption of a residential customer is crucial at this point of time because tailor-made consumer-specific tariffs will play a vital role in load balancing process of Utilities. This paper analyzes the electrical consumption of a single residential customer measured using a smart meter that is capable of measuring electrical consumption at circuit level. The issues and challenges in collecting the data and pre-processing required for making them suitable for data analytics are discussed in detail. A comparison of the performance of different machine learning algorithms implemented using Python’s Scikit-learn module gives an insight on the consumption pattern.
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Naidu, Dr K. Purushotam. "Machine Learning Exploration of Bank Marketing Data with Apache Spark". International Journal for Research in Applied Science and Engineering Technology 12, n. 4 (30 aprile 2024): 5629–35. http://dx.doi.org/10.22214/ijraset.2024.61287.
Testo completoAbstract (sommario):
Abstract: Banks use the advanced analytics provided by Apache Spark to improve customer service and optimize marketing. By integrating machine learning, insights into consumer behavior can be gained through predictive modeling and efficient data processing. The main topics of this study are customer segmentation, predictive modeling and personalized marketing. PySpark's user-friendly interface and Spark's scalability support tactics related to growth, customer acquisition, and retention.
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Gajashree, S., e J. Anand. "A Study on the Impact of Social Media on Consumer Buying Behaviour of Mobile Phones in Chennai". Shanlax International Journal of Management 8, n. 3 (1 gennaio 2021): 54–59. http://dx.doi.org/10.34293/management.v8i3.3574.
Testo completoAbstract (sommario):
This paper aims to investigate the impact of social media on consumer buying behavior. The primary purpose of this research is to identify the effect of social media on consumer buying decisions. Social Media have given many opportunities to consumers in adapting to different aspects of life. Facebook, Twitter and Instagram have played significant roles in expanding consumer’s online purchases. This paper aims to know which consumers are mostly influenced by the online purchase of mobile through social media and the kinds of social media that are employed mainly by consumers in Chennai. The research carried out primary research methods and questionnaire to investigate the impact of social media sites on the user’s changing behavior who aim to purchase online. The target of the research is to elucidate why, when, and the way social media has impacted on the consumer decision process. The theoretical framework rests on the literature of the consumer decision-making process, social media, and previous studies relating to social media marketing. The quantitative research method is tailored to the aim of this research. The empirical data was gathered by sending out an opinion poll to individuals. The study explains how individuals are attending processing and selecting the knowledge on social media before a sale. The findings indicate that individuals pursue an active role in information search on social media comparing to mass media. Yet, information exposure is selective and subjective during knowledge search. Results show that social media usage influences consumer satisfaction within the stages of data search and alternative evaluation, with happiness getting amplified. The consumer moves along the method towards the ultimate purchase decision and post-purchase evaluation.
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Hausman, Angela. "A multi‐method investigation of consumer motivations in impulse buying behavior". Journal of Consumer Marketing 17, n. 5 (1 settembre 2000): 403–26. http://dx.doi.org/10.1108/07363760010341045.
Testo completoAbstract (sommario):
This study used both qualitative and quantitative data to test hypotheses related to consumers’ motivations to engage in impulse buying. A grounded theory approach was used to develop hypotheses from in‐depth interviews. These hypotheses were tested by the collection and analysis of survey data. Data support the theory that impulse buying is a common method of product selection, in part, because the shopping act and impulsive product selection provide hedonic rewards. Further information‐processing overload confounds product selection, reinforcing the rewards to be obtained from alternative section heuristics, like impulse buying.
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Samoggia, Antonella, Giulia Rossi e Federica Beccati. "Consumers’ Attitude towards Supermarket and Proximity Stores as Purchasing Outlets of Italian Potato Consumers". Foods 12, n. 15 (28 luglio 2023): 2877. http://dx.doi.org/10.3390/foods12152877.
Testo completoAbstract (sommario):
World potato consumption has fallen. Similarly, Italian consumers are buying fewer potatoes, despite the high number of certified quality and innovative potatoes being produced. Moreover, Italian consumers’ knowledge of potato characteristics and innovations tends to be limited. To increase consumer engagement and revitalize the market, strategic marketing efforts need to be implemented by addressing the different characteristics of consumers in the different purchase channels. The aim of this study is to explore and differentiate consumer purchasing behavior and attitudes towards potatoes in supermarkets and neighborhood channels. The study collected 855 responses through an online survey. Data processing included the creation of indices of consumers’ knowledge of potato nutrition and their propensity to innovate, as well as logistic regression to analyze the determinants of potato-purchasing behavior. The results show that consumers with increased potato consumption, a higher level of education, and employment prefer to buy potatoes in the supermarket. A preference for potato innovation also increases the likelihood that consumers will buy potatoes in supermarkets. Conversely, consumers with elderly relatives at home and a low level of education, but a high level of knowledge about the nutritional properties of potatoes, prefer to shop through neighborhood channels.
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Nawang, Anjar. "Kontribusi Perilaku Konsumen Terhadap Keputusan Pembelian Produk Shampo Sunsilk pada PT. Unilever Indonesia Tbk". Indo-Fintech Intellectuals: Journal of Economics and Business 2, n. 2 (28 settembre 2022): 68–77. http://dx.doi.org/10.54373/ifijeb.v2i2.79.
Testo completoAbstract (sommario):
The purpose of this study was to determine the contribution of consumer behavior to the decision to purchase Sunsilk shampoo products. This research was conducted by distributing questionnaires to S1 students of Prof. Dr. Moestopo University (Beragama) in 2012-2013. This study used the correlation method and the Likert Scale conducted on 40 respondents. The variables in this study are about consumer behavior towards consumer purchasing decisions of Sunslik shampoo products as many as 46 respondents, random sampling, where sampling is such that each unit of the population has the opportunity to be selected as a sample. Data collection techniques use field research, namely interviews and questionnaires. Data processing techniques were obtained from the results of the distribution of questionnaires measured using the Likert Scale and calculated with the SPSS 17.0 for Windows program. The contribution of consumer behavior to consumer purchasing decisions of Sunsilk shampoo products from the results of research and calculations conducted by the author can be proven using simple regression analysis calculations, correlation coefficients and determinations. So each increase and decrease in the relationship of consumer behavior is offset by the correlation coefficient obtained r is 0.955 less than 1 (one). This shows that there is a weak and positive contribution between consumer behavior and consumer purchasing decisions
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Ardiansyah, Rizal. "ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT BELI ONLINE SHOP KONSUMEN (STUDI KASUS PADA MAHASISWA DI UNIVERSITAS ISLAM INDONESIA)". Journal Competency of Business 3, n. 2 (2 dicembre 2019): 111–26. http://dx.doi.org/10.47200/jcob.v3i2.673.
Testo completoAbstract (sommario):
This empirical research is intended to determine the effect of financial risk, product risk, convenience risk, non-delivery risk, infrastructure variables, and return policy on consumer attitudes, to determine the effect of attitudes on consumer online shop buying interest, to determine the effect of financial risk, product risk. , convenience risk, non-delivery risk, infrastructure variables, return policy, and attitudes towards consumers 'online shop buying interest, to determine the influence of consumer behavior factors which are the most dominant in influencing consumers' online shop buying interest. The object of this research is the students of the Islamic University of Indonesia using 96 active student respondents as the research sample. Data analysis used Multiple Regression Analysis using a data processing program, namely SPSS for Windows Release 17.00.
Based on the results of the analysis shows that there is a significant influence between financial risk, product risk, convenience risk, non-delivery risk, return policy, and infrastructure on online shopping attitudes, the product risk dimension has a dominant influence on online shopping attitudes, there is a significant influence between online shopping attitudes. With buying interest, there is a significant influence between the risk and attitude of online shopping on consumer buying interest and the dimensions of online shopping attitudes have a dominant influence on consumer buying interest.
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Rajalakshmi, V., e Anthony Rahul Golden. "Impact of Consumer Buying Behavior on Satisfaction Towards Dairy Products: An Empirical Study". International Journal of Professional Business Review 8, n. 9 (14 settembre 2023): e03769. http://dx.doi.org/10.26668/businessreview/2023.v8i9.3769.
Testo completoAbstract (sommario):
Purpose: This study aims to investigate consumer buying behavior towards government-owned dairy products in India and assess their level of satisfaction.
Design/Methodology/Approach: The researcher employed a simple random sampling technique to select 576 consumers from across India. Various data analysis tools were applied to the collected data to draw conclusions.
Findings: The research found a significant association between demographic variables and customer satisfaction. Factors like "Product Quality," "Product Value," and "Awareness" were identified as key influencers of customer satisfaction. Additionally, the study revealed a direct negative impact of buying behavior on customer satisfaction, with purchase intention and customer service acting as mediators with positive effects.
Research, Practical & Social implications: This study sheds light on the importance of product quality and value in influencing customer buying behavior. It has practical implications for dairy product marketers, emphasizing the need to prioritize quality and value during processing. Socially, it highlights the importance of consumer awareness in ensuring the quality and safety of dairy products.
Originality/Value: This research contributes to understanding consumer behavior in the context of government-supplied dairy products in India. It emphasizes the originality and value of considering factors like awareness and customer service in assessing customer satisfaction, offering insights for improving marketing strategies in the dairy industry.
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Ibrahim, F. D., M. U. Uyanah, E. A. Adebayo, D. A. Adamu, A. I. Oseghale e A. J. Jirgi. "Market Outlet Preference and Consumer Behavior for Fish and Fish Products in the Federal Capital Territory, and Niger State, Nigeria". JOURNAL OF AGRICULTURAL ECONOMICS, ENVIRONMENT AND SOCIAL SCIENCES 7, n. 2 (28 novembre 2021): 161–73. http://dx.doi.org/10.56160/jaeess202172014.
Testo completoAbstract (sommario):
This study was carried out to acertain market outlet preference and consumer behavior for fish and fish products in the Federal Capital Territory (FCT) and Niger State, Nigeria. The study used both primary and secondary data. A Multistage sampling technique was used in selecting a total of 140 respondents. Descriptive and inferential statistics were used for data analysis. The objectives of the study were to describe the socio-economic characteristics of the respondents, ascertain consumer preference for fish market outlets, consumer behavior for fish and fish products, determine factors affecting consumers’ decision to purchase fish and three market outlets identified from the study were organized retail, local markets and open vendors. Results showed that 54.3% and 72.9% of the respondents in the FCT and Niger State respectively, preferred to purchase fish and fish products from local markets. Product quality, nutritional value and price of product were the most important factors that guided consumers’ purchase behavior. Regression result showed that quality of fish and distance to outlets affected consumers’ decision to purchase fish at organized retail outlets and were statistically significant at 10%. Income, price of fish and health reasons were significant at 5%. The study concluded that the government and private sectors should address quality, nutritional value and price of fish when setting up market outlets. Retailers and processors should be encouraged through government interventions to improve techniques of fish processing, packaging, branding and preservation such that the quality and health benefits of fish and fish products are not altered.
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Tandela, Vhiona Mayari, Rahmad Rahmad, Irvan Adi Girsang, Crisda Emeliana Girsang e Aldini Syahputri. "Influence of social media influencers and testimonials on consumer attitudes and purchase decisions for Scarlett Whitening products". Digital Business: Tren Bisnis Masa Depan 14, n. 2 (3 ottobre 2023): 49–57. http://dx.doi.org/10.59651/digital.v14i2.96.
Testo completoAbstract (sommario):
Product marketing through influencers on social media is a new phenomenon in the marketing industry. Therefore, marketing through social media is carried out by a company to reach a certain target market through people who have great influence on social media or are called influencers. These influencers are adjusted to the values of the product to be marketed in order to find suitable potential customers. Influencers will also provide new information and demonstrate their skills to influence consumer attitudes or behavior in making purchasing decisions. Apart from influencers, there are also testimonials that are used to attract customers to make a decision before making a purchase. These testimonials are real evidence shared by consumers who have felt satisfied or disappointed with the products or services they bought on social media. The method used in this study is data collection in the form of a questionnaire given to 56 respondents by providing structured questions, and using variable data, namely data on the dependent variable (Y) and the independent variable (X). The results of data processing obtained from 56 respondents who are USI economics students who use social media, it can be concluded that social media influencers and testimonials of a beauty product called Scarlett Whitening are quite significant in influencing consumer behavior and determining consumer satisfaction. Because the results of the percentage of answer scores that each indicator have are in the strong category, namely 3.24% for the influencer variable, 2.98% for the testimonial variable, and 3.23% for the consumer behavior variable.
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Rahmadani, Denta, Hilman Fauzi, Reza Armanda Lubis e Maya Ariyanti. "Study of Neuromarketing in Consumer Behavior due to Product Logos Color Changes Effect". [CEPAT] Journal of Computer Engineering: Progress, Application and Technology 1, n. 02 (30 agosto 2022): 41. http://dx.doi.org/10.25124/cepat.v1i02.5245.
Testo completoAbstract (sommario):
Consumer behavior can be detected by conducting surveys, but this method lacks the depth of analysis to measure consumer behavior. By utilizing technological and scientific advances through the study of neuroscience, especially in neuromarketing, it is hoped to improve the ability to analyze consumer behavior. Neuromarketing has been widely used to measure consumer behavior through several stimuli, including logo colors. Neuromarketing to the human brain's response is done using electroencephalography (EEG) signal analysis. Data collection was carried out on six students aged 19-24 years. Subjects were given a stimulus of five original logo colors and five logo colors recolored with the number of questions in three sessions. Pre-processing uses a butterwort horde four bandpass filter with a theta-band frequency band in the frequency range of 4-8 Hz. Data on color changes using questionnaires and EEG signal data is processed on spatial and spectral domains to view active areas of short-term memory. The result obtained is the effect of the change in logo color on consumer memory and the active location of short-term memory on the logo's color. Using spatial selection, the number of channels was reduced from 16 to 4 channels or by 75%. The selected channels are in the memory and visual areas.
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Aviny, Pratita, e Sisca Aulia. "Pengaruh Bauran Pemasaran terhadap Perilaku Konsumtif (Studi Kasus Brand Maybelline di Shopee pada Dewasa Awal)". Prologia 7, n. 1 (29 marzo 2023): 171–78. http://dx.doi.org/10.24912/pr.v7i1.21287.
Testo completoAbstract (sommario):
Marketing mix is a marketing tool that is usually used by companies to be able to offer their products to consumers or potential customers. Maybelline is a cosmetic company that does a marketing mix and they collaborate with e-commerce Shopee as a platform to reach customers. The marketing mix carried out by the Maybelline company can lead to consumptive behavior in its consumers. This consumptive behavior itself exists because of someone's pleasure in buying or using a product without considering their needs but desires. This study aimed to determine the impact of Maybelline's Shopee marketing mix on consumer behavior in early adulthood. The obtained data adopt validity test, reliability test, linear regression analysis and t test. The results of data processing showed that t count>t table 4.093>1.98, significance 0.001<0.05. The test results show the H1 hypothesis that Maybelline's combination in Shopee marketing has an effect on consumer behavior. The resulting hypothesis is H1, that the marketing mix has an effect on consumer behavior in early adulthood. The results of this study lead to Hypothesis H1, that the marketing mix has an effect on consumer behavior in early adulthood. As a result of the marketing mix carried out by Maybelline, it can influence the shopping style of consumers to continue consuming products so that consumptive behavior occurs. Bauran pemasaran merupakan alat pemasar yang biasanya digunakan oleh perusahaan untuk bisa menawarkan produknya kepada konsumen atau calon konsumen. Bauran pemasaran dilakukan oleh perusahaan kosmetik yaitu Maybelline dan mereka bekerjasama dengan e-commerce Shopee sebagai wadah untuk meraih pelanggan. Bauran pemasaran yang dilakukan oleh perusahaan Maybelline bisa menimbulkan perilaku konsumtif pada konsumennya. Perilaku konsumtif ini sendiri ada karena kesenangan seseorang dalam membeli atau menggunakan produk tanpa mempertimbangkan kebutuhannya melainkan keinginan. Untuk mengetahui apakah adanya pengaruh bauran pemasaran Maybelline di Shopee terhadap perilaku konsumtif pada dewasa awal merupakan tujuan dari penelitian ini. Data yang didapat menggunakan uji validitas, uji reliabilitas, analisis regresi linear sederhana, dan uji T. Hasil dari olah data menunjukan nilai t hitung > t tabel yaitu 4.093 > 1,98 dengan signifikan 0,001 < 0,05. Hasil yang diuji menunjukan hipotesis H1 bahwa terdapat pengaruh bauran Maybelline di Shopee pemasaran terhadap perilaku konsumtif. Akibat dari bauran pemasaran yang dilakukan oleh Maybelline, bisa memmengaruhi gaya belanja konsumennya untuk terus mengonsumsi produk sehingga terjadi perilaku konsumtif.
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Zhong, Qiuyan, Shuyuan Liang, Li Cui, Hing Kai Chan e Yue Qiu. "Using online reviews to explore consumer purchasing behaviour in different cultural settings". Kybernetes 48, n. 6 (3 giugno 2019): 1242–63. http://dx.doi.org/10.1108/k-03-2018-0117.
Testo completoAbstract (sommario):
Purpose The purpose of this paper is to analyse consumer purchasing behaviour in different cultural settings by exploring the value of consumer reviews from various countries. Design/methodology/approach This study uses online review mining technology to collect, process and analyse user review data from multiple countries. The main procedures of this research are data collection, data pre-processing, feature extraction and sentiment analysis. Online reviews from the American, British and Indian websites for the iPhone 5s are analysed. Findings Every country has unique cultural characteristics, and these cultural differences affect consumers’ perceptions, attitudes and purchasing behaviours. The results show that consumers from different countries exhibit different levels of attention towards the same product and have different emotional inclinations for the same product feature. In addition, the study also identified the advantages and disadvantages of the product. Limitations implications The user reviews provide abundant feedback information that serves as a good intelligence resource for companies. Under the premise of different language habits, this paper uses a universal approach to analyse consumer behaviour from online reviews in different countries, which can help reveal consumers’ emotional inclination towards each feature of a product. This approach can be extended to other brands of mobile phones or other industries. Practical implications Multinational companies should analyse the cultural characteristics of target groups when proposing transnational development strategies. Companies can understand the perceptions of their products based on the consumer reviews and can formulate their marketing and product strategies by considering consumer purchasing behaviours arising from cultural differences. Originality/value This study identifies differences in consumer behaviour in different cultural settings by using a data mining method, which can help companies understand consumer perceptions and the performance and quality of product features.
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Caroline, Yuswardi e Yulianto Umar Rofi'i. "Analysis of E-Commerce Purchase Patterns Using Big Data: An Integrative Approach to Understanding Consumer Behavior". International Journal Software Engineering and Computer Science (IJSECS) 3, n. 3 (10 dicembre 2023): 352–64. http://dx.doi.org/10.35870/ijsecs.v3i3.1840.
Testo completoAbstract (sommario):
This research undertakes a meticulous examination of the Indonesian e-commerce industry, aiming to unravel the intricate patterns governing consumer behavior within this rapidly evolving digital landscape. Employing an extensive dataset and cutting-edge data analysis methodologies, this study discerns pivotal trends that have engendered transformative shifts in Indonesia's e-commerce sector. A conspicuous trend uncovered is the escalating reliance on instant messaging platforms and social media conduits for e-commerce transactions. This pronounced transition underscores the remarkable adaptability of businesses to the digital milieu, thereby accentuating the significance of a digitally oriented business paradigm. Furthermore, this research brings to light the prevailing predilection among non-formal e-commerce enterprises, whose revenues predominantly dwell below the IDR 300 million threshold. Notably, the Cash on Delivery (COD) method remains the preeminent payment mechanism. These observations illuminate the structural underpinnings of the market and consumer payment proclivities, thereby exerting a discernible influence on pricing strategies and payment processing mechanisms adopted by enterprises. Moreover, the study delves into the transformative effects of the COVID-19 pandemic, which have expedited the digital metamorphosis of both consumers and e-commerce enterprises. This acceleration has ushered in a new epoch characterized by novel opportunities and concomitant challenges within the e-commerce domain. In summation, this research furnishes a multidimensional and academically rigorous perspective on the Indonesian e-commerce landscape, furnishing actionable insights indispensable for businesses and policymakers alike. The comprehension of these evolving trends is indispensable for strategic formulation and policy calibration, enabling adept navigation of the dynamic e-commerce milieu.
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Sari, Nitami, Roslina Roslina e Nuzul Inaz Nabila. "Pengaruh Harga dan Citra Merek terhadap Keputusan Pembelian Air Mineral Gloz Di Bandar Lampung". E-journal Field of Economics, Business and Entrepreneurship 1, n. 4 (21 dicembre 2022): 366–71. http://dx.doi.org/10.23960/efebe.v1i4.60.
Testo completoAbstract (sommario):
Changes in every consumer behavior make it necessary for business people to understand consumer behavior precisely and correctly. Building a positive brand image in the minds of consumers will influence purchasing decisions. This type of research in this research is descriptive research and uses quantitative methods. The sample in this study were consumers of Gloz mineral water who made purchases at distributors in the Bandar Lampung area. The population used is unlimited or cannot be measured with certainty, making the researcher choose to use the non-probability sampling method. So that the respondents in this study amounted to 120 people. Based on the results of data processing and analysis, it can be concluded that the price and brand image variables influence the purchasing decision (Y) of Gloz mineral water in Bandar Lampung. The variable that has the greatest influence is the price variable (X1) based on the largest regression coefficient value, namely b1 of 0.249 compared to the regression coefficient value of the brand image variable (X2) of 0.218
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Portase, Raluca Laura, Ramona Tolas e Rodica Potolea. "From Sensors to Insights: An Original Method for Consumer Behavior Identification in Appliance Usage". Electronics 13, n. 7 (4 aprile 2024): 1364. http://dx.doi.org/10.3390/electronics13071364.
Testo completoAbstract (sommario):
In light of the energy crisis, extensive research is being conducted to enhance load forecasting, optimize the targeting of demand response programs, and advise building occupants on actions to enhance energy performance. Cluster analysis is increasingly applied to usage data across all consumer types. More accurate consumer identification translates to improved resource planning. In the context of Industry 4.0, where comprehensive data are collected across various domains, we propose using existing sensor data from household appliances to extract the usage patterns and characterize the resource demands of consumers from residential households. We propose a general pipeline for extracting features from raw sensor data alongside global features for clustering device usages and classifying them based on extracted time series. We applied the proposed method to real data from three different types of household devices. We propose a strategy to identify the number of existent clusters in real data. We employed the label data obtained from clustering for the classification of consumers based on data recorded on different time ranges and achieved an increase in accuracy of up to 15% when we expanded the time range for the recorded data on the entire dataset, obtaining an accuracy of over 99.89%. We further explore the data meta-features for a minimal dataset by examining the necessary time interval for the recorded data, dataset dimensions, and the feature set. This analysis aims to achieve an effective trade-off between time and performance.
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Zhang, Xi-Yu, Ching-Tzu Chao, Yi-Tse Chiu e Han-Shen Chen. "Study of the Correlation between Streaming Video Platform Content on Food Production Processes and the Behavioral Intentions of Generation Z". Foods 13, n. 10 (15 maggio 2024): 1537. http://dx.doi.org/10.3390/foods13101537.
Testo completoAbstract (sommario):
With an estimated 2.4 million cases of foodborne illnesses recorded annually in the UK alone, food safety has become a paramount concern among stakeholders. Modern technology has positioned streaming platforms as pivotal conduits for disseminating information. Channels such as YouTube offer detailed recordings of the food production process, granting consumers extensive visibility of the food journey from farm to table. This increased transparency not only promotes vigilant monitoring of food safety practices but also solicits consumer feedback regarding the public exposure to food processing videos. Based on the Theory of Planned Behavior (TPB), this study augments its framework with constructs, such as perceived trust, perceived risk, community experience, and brand identity, to evaluate Taiwan’s Generation Z consumer behavioral intentions. With 226 valid responses amassed, structural equation modeling facilitated elucidation of the relationships among the constructs. This analysis yielded three salient insights. First, Generation Z’s engagement with food processing videos on streaming platforms is positively correlated with their subsequent purchasing behavior. Second, enriched community experience was correlated with strengthened brand identification. Third, both perceived trust and perceived risk had a constructive impact on behavioral intentions within Gen Z’s demographic data. Based on these outcomes, food industry enterprises should proactively develop and bolster community experiential value, thereby encouraging streaming platform users to transform into brand consumers and advocates.
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Wang, Chen-Ya, Yi-Chun Lin, Hsia-Ching Chang e Seng-cho T. Chou. "Consumer Sentiment in Tweets and Coupon Information-Sharing Behavior". International Journal of Online Marketing 7, n. 3 (luglio 2017): 1–19. http://dx.doi.org/10.4018/ijom.2017070101.
Testo completoAbstract (sommario):
The authors aim to explore the correlation between coupon information-sharing behavior and consumer sentiment by analyzing tweets. They used Twitter application programming interface to retrieve users' tweets, and took a machine learning approach for sentiment analysis. After the data pre-processing procedure, the authors then examined the correlation between sentiments in tweets and coupon information sharing. More than half of the most active users showed that their coupon information-sharing behavior correlated to both positive and negative sentiments. The results also showed that the response, coupon information sharing, for positive/negative sentiment had no significant time shifting pattern for most of the users. This study preliminary verifies the assumption that there is a correlation between users' sentiments in tweets and coupon information-sharing behavior, and indicates some interesting findings. The authors' findings may shed light on whether sentiment plays a role in social media communication concerning the sharing of coupon information.