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Artykuły w czasopismach na temat "ONLINE GROCERY APPS"
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Rinaldi, Chiara, Marlene D’Aguilar i Matt Egan. "Understanding the Online Environment for the Delivery of Food, Alcohol and Tobacco: An Exploratory Analysis of ‘Dark Kitchens’ and Rapid Grocery Delivery Services". International Journal of Environmental Research and Public Health 19, nr 9 (2.05.2022): 5523. http://dx.doi.org/10.3390/ijerph19095523.
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Online spaces are increasingly important in the sale of food, alcohol and tobacco. This analysis focuses on two developments in online food delivery: delivery-only ‘dark kitchens’ and rapid grocery delivery services (RGDS), with the aim to understand and assess the availability of health harming and health promoting products through these services. Data was collected for one metropolitan local authority in London, UK, using publicly available online sources. Being explorative in nature, the analysis includes descriptive statistics and qualitative assessment. Three dark kitchens (renting kitchens to 116 food businesses), three grocery delivery apps, and 76 grocery businesses available through online delivery platforms were identified. Most businesses renting dark kitchen space were ‘virtual restaurants’ (52%) selling fast food (47%) or dessert (21%) through online delivery platforms. RGDS sold a variety of items, with a focus on pre-packaged foods high in fat, salt and sugar, alcoholic beverages and tobacco. These items were also most likely to be promoted through offers and promotional language. Fruits and vegetables were less commonly available and mainly on grocery delivery apps. Online delivery services increase the temporal and geographic availability and promotion of many unhealthy products. Research expanding on the geographic area of interest is needed.
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Gumasing, Ma Janice J., Yogi Tri Prasetyo, Satria Fadil Persada, Ardvin Kester S. Ong, Michael Nayat Young, Reny Nadlifatin i Anak Agung Ngurah Perwira Redi. "Using Online Grocery Applications during the COVID-19 Pandemic: Their Relationship with Open Innovation". Journal of Open Innovation: Technology, Market, and Complexity 8, nr 2 (16.05.2022): 93. http://dx.doi.org/10.3390/joitmc8020093.
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This present research examines the behavioral intentions of Filipinos to use online grocery applications during the novel COVID-19 pandemic. The study proposes an integration of the health belief model (HBM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) to identify the factors affecting the acceptance and usage of Filipinos of online grocery applications in terms of the impact of health risk for COVID-19. To accurately measure the factors and their relationship to behavioral intentions and usage behavior, a questionnaire was developed and distributed to 373 residents in the Philippines. Partial least squares structural equation modeling (PLS-SEM) was applied as an analytical method for this study. The results revealed that performance expectancy, perceived benefits, perceived severity, and cues to action significantly influenced the behavioral intentions and usage of online grocery apps during the COVID-19 pandemic. The study’s findings can be utilized as a theoretical framework for future researchers of consumer behavior; e-commerce developers; and grocery industry retailers, to enhance the innovation and services of online grocery applications. The results of this study may also be used and capitalized on by investors and managers to apply in strategizing when developing and marketing online grocery applications among consumers. Moreover, the framework of this study may be adopted and utilized by other online markets, even in different counties. Further theoretical and practical aspects are discussed in this paper.
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Kim, Hyungjoon. "Use of Mobile Grocery Shopping Application: Motivation and Decision-Making Process among South Korean Consumers". Journal of Theoretical and Applied Electronic Commerce Research 16, nr 7 (7.10.2021): 2672–93. http://dx.doi.org/10.3390/jtaer16070147.
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With the revitalization of the online grocery trading market, many consumers are using mobile applications to purchase groceries. Although past studies were conducted on online grocery purchases, few measured mobile app users in a conceptual model that combines both motivational needs and behavioral components. Grounded in the uses and gratifications theory and the theory of planned behavior, this study investigated utilitarian motives, hedonic motives, experiential motives, attitudes, subjective norms, perceived behavioral control, purchase intention, and purchase behavior among mobile grocery app users in South Korea. As an additional analysis, a comparison between users and non-users of mobile grocery apps was implemented. The results showed that the utilitarian motives of grocery app users significantly influenced attitudes, attitudes and subjective norms influenced user intention, and user intention influenced grocery purchase behavior. Users showed statistically higher utilitarian motives, hedonic motives, and attitudes than non-users. The results suggest that South Korean consumers hold positive attitudes toward mobile grocery shopping and that the opinions of others may influence the decision to use the services. Mobile groceries in South Korea may have the potential for continued growth if individuals’ perceived control of the service improves. Implications and suggestions for future research are discussed.
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Salamzadeh, Aidin, Pejman Ebrahimi, Maryam Soleimani i Maria Fekete-Farkas. "Grocery Apps and Consumer Purchase Behavior: Application of Gaussian Mixture Model and Multi-Layer Perceptron Algorithm". Journal of Risk and Financial Management 15, nr 10 (23.09.2022): 424. http://dx.doi.org/10.3390/jrfm15100424.
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The purpose of this study is to investigate and compare the popularity of common grocery apps in Hungary as well as Iran. The data were gathered from Iranian and Hungarian users who had at least one online purchase experience using a grocery app. A Gaussian mixture model (GMM) and multi-layer perceptron (MLP) are used as supervised and unsupervised machine learning algorithms with Python programming to cluster customers and predict consumer behavior. The results revealed that Wolt in Hungary and Snappfood in Iran are the most popular grocery apps. Users in Iran are divided into three groups of users of app services and the type of full covariance has higher accuracy compared to the other three types (96%). Meanwhile, we found that the five apps used in Hungary have provided 95% accuracy from the users’ point of view based on the diagonal covariance. The MSE value (overfitting and cross-validation) is less than 0.1 in the MLP algorithm, which shows an acceptable amount of error. The results of overfitting indicate the proper fit of the MLP model. The findings of this study could be important for managers of online businesses. In the clustering section, the accuracy and value of consumer demographic information have been emphasized. Additionally, in the classification and prediction section, a kind of “customization” has been performed with an emphasis on market segmentation. This research used GMM and MLP machine learning algorithms as a creative way to cluster and classify consumers.
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Suman, K. M., Siddayya Siddayya i G. Ranganath. "Consumer behavior disruption in the pandemic era: A study on food consumption patterns in Bengaluru North, Karnataka". BOHR International Journal of Computer Science 2, nr 1 (2023): 32–37. http://dx.doi.org/10.54646/bijcs.2023.22.
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The study was conducted to assess the consumer’s behavior patterns pertaining to online food purchasing during COVID-19 in Bengaluru North district of Karnataka. The primary data were collected from 60 consumers. The study revealed that, based on consumer behavior over e-platforms in the past 6 months, a large number (63.33%) of respondents chose food and grocery delivery apps for shopping. The food categories purchased online were fast food (53.30%). Of the sample respondents, 70.00 (prior pandemic) and 71.67% (post-pandemic) indicated convenience as the main reason to purchase food online. Around 60.00, 45.00, and 46.67% of the respondents purchased online one to five times per month pre-pandemic, during the pandemic, and postpandemic, respectively. About 33.33% of the respondents were ready to pay 1–5% as a premium. Among the respondents, the majority (46.70%) of them were ready to pay only Rs. 10–20 as delivery charges, and 33.33% positively responded to trying monthly subscription services. The study also revealed that more than 50.00% of them were concerned about the quality of the food, whereas in the case of groceries/ready-to-eat food, only 43.33% of the consumers were concerned about the quality. About 60.00% of consumers were not willing to purchase meat online.
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Sukhwani, Vibhas, Sameer Deshkar i Rajib Shaw. "COVID-19 Lockdown, Food Systems and Urban–Rural Partnership: Case of Nagpur, India". International Journal of Environmental Research and Public Health 17, nr 16 (7.08.2020): 5710. http://dx.doi.org/10.3390/ijerph17165710.
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The globally fast-spreading novel coronavirus disease (COVID-19) is now testing the abilities of all countries to manage its widespread implications on public health. To effectively contain its impacts, a nation-wide temporary lockdown was enforced in India. The resultant panic buying and stockpiling incidents together with spread of misinformation created a sense of food insecurity at local level. This paper discusses a specific case of Nagpur from the worst affected Maharashtra state of India, wherein the urban–rural food supply chains were reportedly disrupted. Based on formal interviews with local government officials, a month-long timeline of COVID-19 outbreak in Nagpur was studied along with the consequent government initiatives for maintaining public health and food supply. While the city residents were confined to their homes, this study then assessed their perceived food security at household level, along with their “Immediate Concerns” and “Key Information Sources”. Through online surveys at two different time intervals, the concerns of “Food and Grocery” were found to be rising, and “Government Apps and Websites” were identified as the most reliable source of information. Based on the research findings, the authors further suggest specific policy recommendations for addressing the immediate and long-term concerns related to food systems in Nagpur.
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Maimunah, Siti, Ainun Rahmawati i Mokhammad Rifqi Tsani. "The Influence of The Covid-19 Pandemic on Mode Choice Preference in Jakarta". RSF Conference Series: Engineering and Technology 2, nr 2 (29.11.2022): 203–14. http://dx.doi.org/10.31098/cset.v2i2.574.
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The COVID-19 pandemic has had an enormous global impact in only a few months. It coerces the government in any country to impose some strict policies to stop COVID-19 from spreading, i.e., stay-at-home requirements or household lockdowns. Travel behaviours are essentially impacted due to such measures. This study focuses on changes in travel behaviour caused by the COVID-19 outbreak in Jakarta. The data was taken through an online survey of 1138 respondents. The questionnaire in this study includes questions about the mode choice containing the purpose of the trip, frequency, travel distance, and several other supporting attribute factors in the pre-pandemic period until the early months of the pandemic. Results clarified that people's travel behaviour was considerably contrastive between those two different times, i.e., the frequency of being outside, transport apps used, and Eid and Christmas Homecoming Tradition. Moreover, the top destinations are grocery stores indicated for primary movement only. In this case, it can be seen that there is a shifting mode for people's daily movement, from what was previously public to private vehicles. Distance, activities, driving license, and vehicle ownership were essential considerations for mode choice throughout the COVID-19 outbreak. The findings of this study may be helpful in transportation planning and establishing policies in the future.
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Hu, Emily A., Viet Nguyen, Jason Langheier i Dexter Shurney. "Weight Reduction Through a Digital Nutrition and Food Purchasing Platform Among Users With Obesity: Longitudinal Study". Journal of Medical Internet Research 22, nr 9 (2.09.2020): e19634. http://dx.doi.org/10.2196/19634.
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Background Digital nutrition apps that monitor or provide recommendations on diet have been found to be effective in behavior change and weight reduction among individuals with obesity. However, there is less evidence on how integration of personalized nutrition recommendations and changing the food purchasing environment through online meal planning and grocery delivery, meal kits, and grocery incentives impacts weight loss among individuals with obesity. Objective The objective of this observational longitudinal study was to examine weight loss and predictors of weight loss among individuals with obesity who are users of a digital nutrition platform that integrates tools to provide nutrition recommendations and changes in the food purchasing environment grounded in behavioral theory. Methods We included 8977 adults with obesity who used the digital Foodsmart platform, created by Zipongo, Inc, DBA Foodsmart between January 2013 and April 2020. We retrospectively analyzed user characteristics and their associations with weight loss. Participants reported age, gender, height, at least 2 measures of weight, and usual dietary intake. Healthy Diet Score, a score to measure overall diet quality, was calculated based on responses to a food frequency questionnaire. We used paired t tests to compare differences in baseline and final weights and baseline and final Healthy Diet Scores. We used univariate and multivariate logistic regression models to estimate odds ratios and 95% CI of achieving 5% weight loss by gender, age, baseline BMI, Healthy Diet Score, change in Healthy Diet Score, and duration of enrollment. We conducted stratified analyses to examine mean percent weight change by enrollment duration and gender, age, baseline BMI, and change in Healthy Diet Score. Results Over a median (IQR) of 9.9 (0.03-54.7) months of enrollment, 59% of participants lost weight. Of the participants who used the Foodsmart platform for at least 24 months, 33.3% achieved 5% weight loss. In the fully adjusted logistic regression model, we found that baseline BMI (OR 1.02, 95% CI 1.02-1.03; P<.001), baseline Healthy Diet Score (OR 1.06, 95% CI 1.05-1.08; P<.001), greater change in Healthy Diet Score (OR 1.12, 95% CI 1.11-1.14; P<.001), and enrollment length (OR 1.28, 95% CI 1.23-1.32; P<.001) were all significantly associated with higher odds of achieving at least 5% weight loss. Conclusions This study found that a digital app that provides personalized nutrition recommendations and change in one’s food purchasing environment appears to be successful in meaningfully reducing weight among individuals with obesity.
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Yen, Yung-Shen. "Channel integration in grocery retailers via mobile applications". Marketing Intelligence & Planning, 14.03.2023. http://dx.doi.org/10.1108/mip-02-2022-0056.
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PurposeThis study aims to explore the impact of channel integration on usage intention through mobile applications (apps) for customers in grocery retailers. Moreover, the study examines the moderating effect of customer commitment in the model.Design/methodology/approachStructural equation modeling was conducted on a sample of 536 consumers in Taiwan.FindingsThis study found that information integration, marketing integration and operational integration are three significant dimensions of channel integration in grocery retailers. Channel integration positively affects satisfaction and trust, which, in turn, increases usage intention. Moreover, customer commitment significantly moderates the relationships in the model.Research limitations/implicationsSample bias may exist because the sample was obtained from an online survey conducted on social media platforms.Practical implicationsThis study suggested that practitioners should confidently implement channel integration through mobile apps in stores. They may develop more valuable services connected with different channels or devices to assist customers in buying in-store. To improve customer trust in the service, practitioners can enhance their confidence in using mobile apps in their stores. Moreover, practitioners segment customers based on high and low levels of customer commitment to provide different strategies to increase usage intention in the retailer.Originality/valueThis study advanced the extant knowledge of channel integration theory and relationship marketing theory in the context of omnichannel retailing.
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Gürsoy, İpek. "The Effect of Informative and Normative Role of Reference Groups on Consumers Purchasing Intention through Online Grocery Applications". Journal of Business Research - Turk, 3.07.2023. http://dx.doi.org/10.20491/isarder.2023.1620.
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Purpose -Consumers are increasingly interested in e-commerce and online grocery applications. There has been a tremendous surge in the number of online grocery applications, particularly during the Covid-19 outbreak. The surroundings of customers and online consumer feedback are believed to have a significant impact on how widely these applications are used. This study intends to explore how customers' purchase intentions via online grocery applications are influenced by reference groups' informative and normative roles.Design/methodology/approach –This study was carried out using quantitative research techniques. Snowball sampling, one of the non-random sampling techniques, was used to choose the samples. A face-to-face and online questionnaire was used to collect the data. 418 consumers who fit the research's target audience were contacted, but after sending out 23 surveys, the study only had 395 participants left. The statistical package packages IBM AMOS 23 and IBM SPSS 25 were used to analyze the data that hadbeen gathered. Explanatory factor analysis, Confirmatory factor analysis, and Regression analysis were used to analyze the data.Findings -As a consequence of the study, it was discovered that the control factors of gender, education level, and income had no effect on customers' intentions to make online purchases. The informative and normative roles of reference groups have been found to influence customers' intentions to make online purchases favorably.Discussion -While various variables influence customers to shop online, the use of online grocery apps has surged, particularly during the Covid-19 pandemic. Consumers who are interested in learning new applications and are concerned about these applications are influenced by their immediate surroundings, such as family and friends, i.e. reference groups. When the relevant literature is reviewed, it is predicted that this study will complete the gap in the literature and shed light on future research, as no previous research on this issue has been conducted.
Części książek na temat "ONLINE GROCERY APPS"
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Patil, Savali, Anjali Joshi, Aachal Shinde, Abhishek Rathod i Madhuri Kawarhe. "Development of Smart Online Grocery Shopping App". W Advances in Computer Science Research, 157–66. Dordrecht: Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-136-4_17.
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Atakan, M. G. Serap, i U. Zeynep Ata. "Internationalization of Retailing". W Origin and Branding in International Market Entry Processes, 233–51. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6613-1.ch010.
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In today's business world, consumers looking for convenience and speed are engaging in online and mobile shopping. In the grocery sector, there is growing demand for fast delivery. Getir is a Turkish ultra-fast grocery delivery retailer which operates across nine countries, delivering “happiness” to Turkish, British, Dutch, German, French, Spanish, Italian, Portuguese, and American consumers' doorsteps. Combining cutting-edge technology of its app with excellent distribution strategies, the company is associated with convenience, reliability, and commitment to providing the best possible customer experience. This chapter discusses the internationalization process and marketing strategy of Getir, a developing country company's expansion into developed markets.
Streszczenia konferencji na temat "ONLINE GROCERY APPS"
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Gunawan, Annetta, Brian Garda Muchardie i Sally Agustina. "Indonesian Millennial Segmentation to Increase Customer Retention in Using Online Grocery Apps". W 2021 International Conference on Information Management and Technology (ICIMTech). IEEE, 2021. http://dx.doi.org/10.1109/icimtech53080.2021.9534999.
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