A conceptual model of channel choice: measuring online and offline shopping value perceptions

This study tries to understand how consumers evaluate channels for their purchasing. Specifically, it develops a conceptual model that addresses consumer value perceptions of using the Internet versus the traditional (physical) channel. Previous research showed that perceptions of price, product quality, service quality and risk strongly influence perceived value and purchase intentions in the offline and online channel. Perceptions of online and offline buyers can be analyzed to see how value is constructed in both channels. This model enables comparisons between online and offline shoppers perceptions. As such, it is possible to determine the factors that encourage or prevent consumers to engage in online shopping.

The mediating effect of e-satisfaction and the moderating effect of convenience towards e-loyalty among Internet banking users in northern region of Malaysia

Research on online customer loyalty among internet banking users is important because of the threat posed by phishing and other related issues. The literature has shown that it is a major concern, especially in Malaysia. This study examines the factors influencing eLoyalty such as eSatisfaction, eCommitment, eTrust, privacy, security, website quality and convenience among the internet banking users in Malaysia. The objectives of the study are to analyse the direct effect of eSatisfaction, eCommitment, eTrust towards eLoyalty and the mediating effect of eSatisfaction between privacy, security and website quality on eLoyalty. Another objective is to observe the moderating role of convenience between eSatisfaction and eLoyalty. The underpinning theory used to develop the study’s framework is based on Oliver’s Four-Stage Loyalty Model. An intercept data collection approach was chosen due to the nature of online users as well as the industry. A total of 427 datasets was employed for final analysis, performed using SPSS and SmartPLS-SEM (Partial Least Squares-Structural Equation Modeling). The results of the analysis show that all hypotheses are supported and only one is rejected. The study has established the direct relationship between eSatisfaction, eCommitment and eTrust towards eLoyalty. In addition, the study has confirmed the mediating effect of eSatisfaction between privacy and eLoyalty, security and eLoyalty and website quality on eLoyalty. However, the moderating role of convenience was found to be not significant indicating that there is a constant effect between eSatisfaction and eLoyalty. The study also discusses the theoretical and practical contributions as well as the limitations of the study and recommendations for future research

Fluxo online e e-satisfação em processos de compra de alto envolvimento

This research aims to verify the relation between the attributes of online shopping experiences, the state of online flow, and e-satisfaction in high-involvement purchases. To reach that goal, we conducted a survey with 720 e-consumers. We adopted quotas sampling, using age distribution as criteria. To analyze the data, we used Structural Equation Modeling. From the statistical analysis, we found that there are some attributes of online shopping experiences that directly influence e-satisfaction (convenience associated with the website, exchange and return policies, and quality of delivery service), while others influence the state of flow online (perceived innovation on the website, price and aesthetics of the website), which, in turn, influences e-satisfaction. Additionally, we identified two attributes that influence both flow online and e-satisfaction: reliability attributed to the website and variety of products available for sale on the website.Keywords: e-commerce, e-satisfaction, online flow, consumer involvement, online shopping experience.Esta pesquisa teve como objetivo verificar a relação entre os atributos das experiências de compra online, o estado de fluxo online e a e-satisfação em compras de alto envolvimento. Para atingir esse objetivo, conduziu-se um levantamento de campo com 720 e-consumidores. Adotou-se a amostragem por cotas, usando como critério a distribuição etária. Para analisar os dados, utilizou-se a Modelagem de Equações Estruturais. A partir da análise estatística dos dados, foi possível identificar alguns atributos das experiências de compra online que influenciam diretamente a e-satisfação (conveniência associada ao website, políticas de trocas e devoluções e qualidade do serviço de entrega), e alguns que influenciam o estado de fluxo online (inovação percebida no website, preços e estética do website), o qual, por sua vez, influencia a e-satisfação. Adicionalmente, foi possível identificar dois atributos que influenciam tanto o fluxo online quanto a e-satisfação: a confiabilidade atribuída ao website e a variedade de produtos disponíveis para venda no website.Palavras-chave: comércio eletrônico, e-satisfação, fluxo online, envolvimento do consumidor, experiência de compra online

Determining the dynamic co-diffusion of four e-services using country-level panel data

Motivated by the slow diffusion of e-services in many countries in the world, and Rogers’ call for researching related innovation as a cluster, this study investigates the co-diffusion among e-services. To our knowledge this study is the first to examine the co-diffusion effects among e-services. It extends prior studies from the e-services diffusion literature, and the technology co-diffusion literature by examining co-diffusion among four e-services; e-banking, e-shopping, e-government, and e-learning. It also examined the co-diffusion mediation effects, moderation effects, and country-level factors’ effects. Using panel data of 28 European countries, and applying dynamic GMM econometric technique, this study’s findings were supporting the suggested hypotheses. The findings are discussed, and the conclusions, significant theoretical and practical implications of the findings, limitations, and recommendations for future research are presented

Social support, social capital and online community e-loyalty: an empirical study

Online communities, as an essential manifestation of online social relationships, sociality factors (including social support factors and social relationship factors, etc.) ought to facilitate the formation of community trust and community satisfaction. However, although the existing literature has explored the underlying mechanisms of online community trust and satisfaction formation, few studies implemented research from the integrated sociality perspectives. In this thesis, we integrate social capital theory and social support theory to consider social capital and social support as important antecedent social factors in forming community trust and community satisfaction, which influence users' trust and satisfaction in online communities. Community trust and satisfaction further promote community loyalty. Specifically, this thesis scrutinizes the influence of three levels of social support factors such as information support, emotional support, and human-computer network management support and three kinds of social capital such as structure, cognition, and relationship to online community trust and satisfaction. Based on the proposed research model, 430 online community users' survey data were collected through an empirical questionnaire and the research model was tested through the partial least squares structural equation model method. The results of the thesis suggest that social support factors, including information support, emotional support, and interpersonal network interaction support, and social capital factors including structural capital, relational capital, and cognitive capital significantly affect community users' loyalty not only directly but also indirectly through enhancing community users' trust and satisfaction. Thus, users' trust and satisfaction with the community are significant mediating variables.Nas comunidades online, como uma importante manifestação das relações sociais online, os fatores de socialidade (incluindo fatores de apoio social e fatores de relacionamento social) devem facilitar a formação de confiança e satisfação da comunidade. No entanto, embora a literatura existente tenha explorado os mecanismos subjacentes à formação da confiança e da satisfação da comunidade online, poucos estudos consideraram a perspectiva social de forma integrada. Nesta tese, integramos a teoria do capital social e a teoria do suporte social para considerar o capital social e o suporte social como importantes fatores sociais antecedentes na formação da confiança e satisfação da comunidade, que influenciam a confiança e a satisfação dos utilizadores em comunidades online. A confiança e a satisfação da comunidade promovem ainda mais a lealdade da comunidade. Especificamente, esta tese estuda a influência de três níveis de fatores de suporte social - suporte de informação, suporte emocional e suporte de gestão da relação homen-computador - e três tipos de capital social - estrutura, cognição e relacionamento - na confiança e satisfação da comunidade online. Com base no modelo de pesquisa proposto, 430 observações de utilizadores de comunidades online foram recolhidos através de um questionário. O modelo de pesquisa foi testado através de métodos de equação estruturais. Os resultados da tese relevam que fatores de suporte social, incluindo suporte de informação, suporte emocional e suporte de interação de rede interpessoal, e fatores de capital social, incluindo capital estrutural, capital relacional e capital cognitivo, afetam significativamente a lealdade dos utilizadores da comunidade, não apenas diretamente mas também indiretamente, aumentando a confiança e a satisfação dos utilizadores da comunidade; a confiança e a satisfação dos usuários com a comunidade são variáveis mediadoras importantes

Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology

While technology adoption is a major stream of research in information systems, few studies have examined the antecedents and consequences of mandatory adoption of technologies. To address this gap, we develop and test a model of mandatory citizen adoption of an e-government technology. Based on a framework that outlines the key stages associated with the launch of technology products, we identify various external factors as antecedents of four key technology adoption variables from the unified theory of acceptance and use of technology (UTAUT), i.e., performance expectancy, effort expectancy, social influence, and facilitating conditions, which ultimately impact citizen satisfaction. The four stages of technology launch and the salient antecedents in each stage are: (1) market preparation stage awareness; (2) targeting stage compatibility and self-efficacy; (3) positioning stage flexibility and avoidance of personal interaction; and (4) execution stage trust, convenience, and assistance. We test our model in a two-stage survey of 1,179 Hong Kong citizens, before and after they were issued a mandatory smart card to access e-government services. We find that the various factors tied to the different stages in launching the technology predict key technology adoption variables that, in turn, predict citizen satisfaction with e-government technology. We discuss the theoretical and practical implications for governments implementing technologies whose use by citizens is mandated

How social shopping retains customers? Capturing the essence of website quality and relationship quality

Social shopping as a result of the advancement of social media applications is increasing considerably in e-commerce. As a consequence of the multi-faceted phenomenon of social shopping, website managers encounter a lot of challenges in providing their quality website experience to satisfy their customers’ needs and in developing relationships among participants, and community. In short, providing excellent quality website experience is crucial to support online customers. Therefore, it is necessary to offer further theoretical conceptualizations as well as detailed empirical evidence for such phenomena in which social shopping are supported and enabled. Thus, this paper attempts to investigate the factors affecting purchase intention of social shopping including two constructs: website quality (i.e., system, information, and service quality) and relationship quality (i.e., satisfaction, commitment, and trust). Additionally we aim to identify the mediating roles of commitment and trust. The empirical results show that the perceived system and service quality are important antecedents of customer satisfaction, but not for the effect of perceived information quality on customer satisfaction. Furthermore, it shows that customer satisfaction significantly influences commitment, trust, and purchase intention, and trust in turn significantly affect commitment. Our empirical results confirm that commitment and trust partially mediate the relationship between satisfaction and purchase intention in social shopping context