Добірка наукової літератури з теми "Dependable buying"

This paper describes the impact of consumer’s attitude on the purchase of insurance product in Nigeria. The attitudes, most often negative, are mirrored through low patronage of insurance services. Data were collected through the use of self-structured closed questionnaire. The research adopted a descriptive survey design. One hundred and fifty (150) questionnaires were administered, however only one hundred and thirty two (132) were properly filled and good enough for data analysis. The Pearson Product Moment Correlation and Regression Analysis were used to test the hypotheses generated for the study at 0.05 alpha levels. The result of the study showed that there is a significant relationship between customer’s attitude and insurance product. Findings also revealed that there is a significant relationship between product awareness and price. Findings from the survey further revealed that promotion of insurance products have significant influence on consumers buying behavior. Insurance companies are advised to guarantee that their services are dependable and reliable, in that the services should not require an excessive amount of bureaucratic procedure of their customers in taking an insurance policy or getting their claim. Other feasible measures to boost patronage of insurance products were recommended for insurance firms and policy-makers.

To assist prospective consumers make educated purchasing choices, we are analyzing and mining data from product reviews on online shopping websites. Two methods exist for extracting aspects. Rule-based and Highest Adjective Count (HAC) algorithms. The aspect ranking will use MAX opinion score method and enhanced SentiWordNet opinion score. SentiWordNet uses a hash map structure to turn keys into tiny values that may be used to index data. Hashing can search, insert, and remove in O(L) time. The disadvantage is that if two keys give the same hashCode value, the hashMap's speed suffers. When HashMap buckets are full, they need to be resized. We replaced it with TRIE, which can insert and locate strings in O(L) time, where L is the word length. TRIE is quicker than Hashing because of its implementation. Here hash function and collision handling is not required (like we do in open addressing and separate chaining). TRIE also allows us to print all words in alphabetical order, which is not feasible using hashing. TRIE can effectively search for prefixes. On the other hand, we offer a method that ranks items based on their similarity in terms of features and price. The Suggested method is applied to three conventional databases such as Amazon, Yelp, and IMDB and the solution provides a more effective and dependable online buying experience.

The way consumers perceive, engage, and behave in today’s global marketplace is everything. Human connection is increasingly important in creating memorable experiences by offering the required interactions. As a response, marketers compete fiercely, and classic marketing ideas and tactics are no longer successful or enticing consumers. Marketers needed fresh ways to captivate customers; thus, experiential marketing was born. As an outcome, the concept of experience is today regarded as a backbone of the experience economy, in which experiential marketing has solidified its position as a valuable contributor to marketing expertise. In nations other than the United States, particularly in Malaysia, there is a severe lack of a scale that measures brand experience. Thus, it is reasonable to begin research verifying and assessing brand experience dimensions in the Malaysian setting. In 2021 the number of smartphone users in Malaysia is estimated to reach 29 million. Consequently, with the growing population, Malaysia’s number of smartphone users is expected to increase by 1.74 million by 2025. Therefore, the study’s theoretical contribution is to develop a powerful, dependable brand experience scale that can be utilized to assess brand experience in the Malaysian setting. The study’s practical benefit is that it provides marketers with methods for measuring in the Malaysian setting. Therefore, marketers may get a competitive edge by determining which unique, for instance, affective, sensory, intellectual, and behavioral, that will attract millennial consumers in Malaysia when buying a smartphone.

Title – Ocean World Water Park: destination marketing challenge. Subject area – Marketing. Study level/applicability – The case should ideally be discussed in an advanced second year MBA course or towards the end of a first year course where the students are already exposed to the basics of marketing. The case works well in courses on destination marketing, strategic marketing, campaign management, entrepreneurship. It also works well with executives, the case discussion affording the instructor an opportunity to illuminate the complexity of designing and implementing marketing strategy. Case overview – Two young MBAs, each with a marketing specialization working in a bank, left their jobs and started their own company by buying a rubber plantation business from another businessman. The businessman was one of the co-owners of the “Ocean World Water Park” theme park (amusement park) close to Bhubaneswar-Cuttack twin city. The amusement park had good potential as it was located in an area with exponential growth of young executives having high disposable incomes. But the business performed poorly because of management ineffectiveness. The case explores the possibility of a turnaround. Expected learning outcomes – The case: sensitizes students about the commercial implications of their marketing decisions by giving them adequate data to work on evaluating the revenue and profit impact of marketing initiatives on business; and helps them to understand that promotional variables are not independent in nature and hence separating the impact of one promotion when a large number of initiatives are operational, is not very dependable. Though the case provides a particular way of attempting to solve the problem, it does not lead to unique solutions. Supplementary materials – Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

In the present made world, dependably, individuals around the planet grant through different stages on the Web. It has been addressed, about 71% of by and large online customers read online surveys going before buying a thing. Thing considers, particularly the early surveys (i.e., the investigations posted at the beginning time of a thing), astoundingly impact coming about thing deals. We call the clients who posted the early examinations as "early investigators". Be that as it may, early specialists contribute just a little level of surveys, their feelings can pick the achievement or disappointment of new things and associations. It is immense for relationship to perceive early spectators since their responses can assist relationship with changing publicizing frameworks and improve thing plans, which can at last incite the accomplishment of their new things. And in dependably, a mass extent of unstructured information is made. This information is as text, which is accumulated from get-togethers, online media regions, surveys. Such information is named as gigantic information. Client feelings are identified with a wide degree of spotlights like on express things also. These investigations can be mined utilizing different movements and are of everything considered significance to make checks since they unmistakably pass on the perspective of the bigger part. Online outlines moreover have become a basic wellspring of data for clients going before settling on an educated buy choice. Early examiner's appraisals and their got strength scores are apparently going to influence thing notoriety. The test is to assemble all the audits, in like way find and investigate the assessments, to locate something refined, that scores high evaluating.

Execution appraisal of TCP website traffic in OBS frameworks has been underneath heightened examine, due to the fact TCP builds up the majority of net visitors. As a dependable and transparently open take a look at framework, ns2 has been generally used for considering TCP/IP frameworks; anyways ns2 dreams an extensive parcel of the elements for imitating optical burst buying and selling frameworks. in this paper, a ns2 primarily based OBS reenactment gadget (nOBS), that is labored for reading burst assembling, reserving and strife targets counts in OBS frameworks is proven. The middle factor and association inquiries in OBS are connected in nOBS for making optical facilities and optical institutions. The passage, attention and flight middle factor functionalities are joined into a run of the mill optical center factor constructing, which incorporates masters chargeable for burstification, controlling and arranging. The results of burstification parameters, e.G., burstification break, burst size and number of burstification backings enhance center thing, on TCP execution are investigated the usage of nOBS for one among a type TCP interpretations and unmistakable framework topologies. The path of motion of libraries we long-established for this object is called Multi InteRfAce move Layer Extension for ns2 (MIRACLE). They replace the functionalities supplied with the aid of the network Simulator ns2 by using way of giving a beneficial and embedded engine for coping with skip-layer messages and, on the equal time, enabling the combination of various modules inside every layer of the display stack. as an instance, various framework, association, MAC or physical layers may be resolved and used inside a comparative center. the consequences of this are puzzling. As an trouble of first importance, the structure empowers the execution and the reenactment of present day-day correspondence structures in ns2. moreover, due to its planned great, the code is probably reduced, re-usable and extensible.

Technology has been evolving at a rapid pace and the global pandemic of COVID-19 has further accelerated this growth. It has penetrated every possible sphere and its presence and degree of dependance for commerce, cannot be ignored. E-commerce websites solely rely on the internet for its functioning and is greatly supported by various digital payment systems. This facilitates ease of usage of the e-commerce site, thereby stimulating consumers to use it. With the large potential that accompanies these digital payment systems, various players have entered into this realm, further attracting the consumer with promotional offers, thereby affecting the behaviour of the consumer while making the purchase decision. This paper aims to study the impact that these digital payment systems have on the impulsive buying behaviour of consumers.

The processing of product buying is a very difficult task when we have thousands of items in each market category. In order to study items similarity for dependable buying we try to analyze item descriptions on AliExpress, eBay marketplaces and test k-means algorithm for item grouping/product segmentation. The usage of the classical clusterization algorithms for grouping similar products according to their descriptions is studied. A corpus of different products (bikes and smartphones) from e-shop AliExpress, eBay is developed. Each entity in this corpus contains photos and a product description. Each entity in this corpus contains product description with different fields. These short texts are used for experiments. As a result, it is found out that the k-means algorithm works well only for uniformly distributed data by categories, but this is not suitable for the segmentation of heterogeneous descriptions. The task of item descriptions systematization is set in the research below.