This paper presents a model of choice with two stages of information acquisition. In this model, the choice problem can be interpreted as a variant of a more general multiarmed bandit problem. We ...assume that information acquisition takes a simple "additive form"--the value of an alternative is the sum of two components, which the decision maker can learn by undertaking two stages of information acquisition. This assumption yields a model that is tractable for the purposes of structural estimation. One possible application of the model is to online purchasing on e-commerce sites. For a consumer on an e-commerce website, there are potentially two stages of information acquisition: the consumer can obtain information about an alternative from (i) browsing the search results page and (ii) clicking on the alternative. By way of contrast, in much of the literature on structural econometric models of online purchasing, there is typically only one stage of information acquisition. Our paper may, therefore, provide a more realistic theory for modeling search, at least for those types of search--such as online purchasing--that involve two stages of information acquisition.
El comercio electrónico en Colombia se considera aún incipiente, por lo cual es importante explorar los factores de adopción de compras virtuales en estudiantes universitarios, a partir de un ...análisis empírico basado en el modelo de aceptación tecnológica (TAM). De lo cual se observa una percepción de dificultad al uso de los sitios de compra en línea, además de que la calidad de la información encontrada en los sitios de compra en línea se considera baja. En conclusión, el presente estudio refleja diferentes retos que deben abordar las empresas en línea para mejorar la confianza, facilidad y utilidad percibida de las compras virtuales por parte de la población universitaria. Como resultado, se evidenció que la percepción de la calidad es un factor fundamental para fomentar la adopción del e-shopping, desde la perspectiva de la pertinencia de la información, su utilidad y claridad. O comércio eletrônico na Colômbia é considerado ainda incipiente; portanto, é importante explorar os fatores de adoção de compras virtuais em estudantes universitários a partir de uma análise empírica baseada no modelo de aceitação tecnológica. A partir disso, observa-se uma percepção de dificuldade quanto ao uso dos sites de compra on-line, além de a qualidade da informação destes ser considerada baixa. Em conclusão, este estudo reflete diferentes desafios que as empresas do comércio virtual devem abordar para melhorar a confiança, facilidade e utilidade percebidas das compras por parte dessa população. Como resultado, evidencia-se que a percepção da qualidade é um fator fundamental para promover a adoção do e-shopping sob a perspectiva da pertinência da informação, sua utilidade e clareza.
The study focuses on the effect of four primary characteristics derived from the literature, including trust, product variety, convenience, and privacy, so as to identify how customer purchasing ...behavior reflects online shopping trends. The researcher used quantitative research approach to documents responses of respondents. Students attending Thal university & Sargodha university are mostly those engaged in business programme at respective institutions, such as the Department of Business Administration and Noon Business school was accessed to collect the data through questioner. The researchers use structural equational model to test hypothesis of current research, analyze the results and reach the desired conclusion and thus recommending some suggestions. According to the findings of statistical analysis of data, customers trust, product variety, convenience and privacy has statistically significant relationship with the online consumer behaviour. This conclusion is vital for the marketers to facilitate the usage of online shopping platforms in order to save more time and attract more people to buy items online.
Offline social interactions and online shopping each have been studied extensively. Despite the importance of each construct, little is known about the effects of offline social interactions on ...online shopping. This study examines three research questions: (1) how offline social interactions affect online shopping in general, (2) how active and passive offline social interactions exert different influences on online shopping, and (3) how online shopping preferences moderate the influences from the two types of offline social interactions. Our empirical analyses provide three substantive findings. First, overall offline social interactions have a positive impact on online shopping demand. Second, while active offline social interactions have a positive informational influence on online shopping demand, passive offline social interactions have a negative normative influence on it. Third, online shopping preferences weaken both the positive informational and negative normative influences from both of offline social interactions. We also discuss theoretical and managerial implications.
In the last few years, it is clear that changes in technologies have altered the ways people shop across the globe, particularly through the Internet. Online shopping experience represents one of ...these ways, presenting opportunities for people to shop online. However, online store owners are quite concerned about how online shopping experiences seem to influence customer attitudes. In this regard, this research investigates the relationships between the online shopping experience, the attitude towards online shopping, and e-customer engagement. A survey questionnaire was distributed to 342 online customers shopping in Saudi Arabia, through Google form survey procedure. The application of SPSS, and structural equation methods shows two results. On the one hand, providing a positive online shopping experience leads to cultivating a favorable attitude toward online purchasing, and consequently improving e-customer engagement. Gender, on the other hand, has no effect on the impact of online buying experience, and attitude towards online shopping on e-customer engagement.
In this study, a three-step methodology is proposed. To begin with, a total of seven main criteria and 23 sub-criteria that affect the selection of online shopping websites are determined by ...searching the literature and interviewing people. Next, a questionnaire is applied to the people from Turkey and Croatia. It is evaluated using AHP methodology to find the main and sub-criteria weights from the perspective of Turkish and Croatian people. Furthermore, a second questionnaire for ranking three popular online shopping websites in Turkey has been applied. Finally, online shopping websites are ranked as B, A, and C based on the scores obtained from the second questionnaire and criteria weights found in the second step. After estimating the decision weights of the sample from Croatia, we use that as a “what if” analysis for websites A, B, and C. Customers’ shopping behaviors from those online shopping websites are analyzed using SPSS.
The COVID-19 pandemic has created a new reality for consumers all around the globe. To cope, users of digital technologies have faced the necessity of adopting and using specific technologies ...practically overnight. They are doing this under the condition of social isolation, all while facing the fear of catching the disease. The purpose of the paper is to study the way unexpected circumstances cause disruptions in existing theoretical models and their implications for the post-COVID-19 era. Therefore, the paper examines the unified theory of acceptance and use of technology (UTAUT) model under the circumstances of the COVID-19 pandemic and social isolation, and it identifies herd behavior as a possible new mechanism affecting behavioral intention under these unique decision-making circumstances. Behavioral intention toward online shopping was analyzed using data from 420 individuals aged 60 and older who present an increasingly important potential market for electronic commerce and who are particularly affected by COVID-19. The main results show that performance expectancy still has the most important influence on behavioral intention, whereas the impact of social influence was not supported under these conditions. Rather, herd behavior was identified as particularly influential for behavioral intention. Based on the study results, the option to reconsider the social influence factor in the UTAUT model and its possible complementary mechanisms are discussed.
•Online shopping adoption among older adults during the pandemic was reviewed.•Social influence does not have a major role in behavioral intention to adopt online shopping.•Contrary to our expectations, COVID-19 fear does not influence behavioral intention to adopt online shopping.•Herd behavior importantly influences behavioral intention in the pandemic situation.•Complementary mechanisms to social influence in UTAUT are discussed.
This research contributes to broadening understanding of online retailing across electronic channels (e-channels, e.g., mobile devices) and e-channel touchpoints (e.g., mobile shopping apps) from a ...consumer perspective. Based on the multichannel retailing approach and theoretical considerations, the authors suggest an enhanced perspective on the online retailing environment and validate this multichannel e-commerce perspective by conducting both an online survey (N = 502) and an experimental study (N = 126). The results indicate that online retailing can be classified into four e-commerce categories that entail individual e-channel touchpoints, emphasizing the need for a more differentiated consideration of “the online channel.” This work advances marketing research and practice by illustrating that both technology-related quality and context-related situational benefit affect consumers' utilization of e-channels. Further findings show that retailers can enhance consumers' shopping experiences by providing alternative e-channel touchpoints (i.e., specific digital shopping formats) that contribute differently to the online customer journey.
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•A framework for the multichannel e-commerce environment•Identification of four categories of e-channels (E-, M-, IETV- and C-Commerce)•Approach to capture the online customer journey across retailer-owned touchpoints•E-channel evaluation is based on perceived quality and situational benefit.•Satisfy heterogeneous needs by designing and combining e-channel touchpoints
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