To understand customer repurchase intention in online stores, the present study has evolved with three variables: customer trust, loyalty, and satisfaction. A theoretical model was also developed to examine customer repurchase intention towards online shopping. The observation unit of this research is online stores and the analytical unit is the customers who have been purchasing grocery products via online. A random sampling technique was used to select the respondents and who are easily accessible. The data was collected from 645 online customers in Seoul. The data was analyzed with a structural measurement equation model by using Partial Least Square 3.0. Outcomes of study showed that, customer satisfaction and trust were the significant predictors of customer repurchase intention. The effect of customer loyalty towards repurchase intention seems to be very low. Hence, online retailers have advised to concentrate more on the activities needed to increase customer loyalty and to purchase more.
This study examines how the number of choices offered on a website influences consumers' internal states (affective and cognitive responses) and their approach/avoidance behavior during online apparel shopping. Focus-group and questionnaire data collection methods with a 3 (number of choices) by 3 (presentation formats) factorial experimental design were employed. The theoretical frameworks, “choice overload” and “online store atmospherics and shopper response,” were applied. A total of 382 usable responses were collected. Although the interaction proposed in the study was not statistically significant, the findings of the study show that the effect of choice overload may not only influence the in-task generated responses but also have a deeper and long-lasting impact on the online consumer behavior. The respondents react to the large choice set on the basis of feelings and emotions (affective responses), and these responses ultimately lead to a subsequent attitude and approach behavior.
This research article integrates the technology acceptance model and diffusion of innovation theory to explore the factors predicting the continuance intention to use WECHAT mobile payment services in China. The results showed that perceived usefulness, perceived ease of use, perceived service quality, social influence, internet self-efficacy, relative advantage, compatibility, and complexity of were all significant predictor of the continued intention to use WECHAT mobile payment services. However, trust in the internet was not significant determinants of the continued intention to use. The results also demonstrated that internet self-efficacy is a predictor of perceived ease of use, relative advantage, compatibility and complexity of mobile payment services. Again, perceived ease of use and social influence were found to have a significant impact on the perceived service quality of WECHAT mobile payment. The implications of these findings on the adoption of mobile payments are discussed.
This study investigated the impact of drivers of e-government, particularly social CRM, citizen trust, and quality of electronic services, on citizen satisfaction with e-government services in the Jordanian environment. In addition to measuring the impact of social CRM on citizen trust and service quality respectively and its impact on citizen satisfaction. A convenience sample was used to achieve the study purpose consisting of 386 questionnaires collected online. The resulting data was analyzed using PLS.2 software. The study findings reveal that social CRM has a significant impact on citizen trust and quality of electronic services, and furthermore that citizen trust and quality of electronic services have significant impacts on citizen satisfaction with e-government services. The study found no direct relationship between the use of social CRM and citizen-government satisfaction but showed a significant indirect impact via customer trust and service quality.
This article provides a comprehensive overview of the adoption process using evidence from m-banking adoption in Pakistan. A survey design was used and 189 responses were received from across Pakistan and analyzed using Smart PLS application. Findings suggest that research on the effect of risk in the adoption process remains inconclusive. Contrarily, consumers have overcome many fears due to the usefulness, indispensability, high security features, and effort expended in the use of financial services delivered through m-banking. Perceived risk's (PR) direct influence was found to be generally weak. However, PR plays a major role in the pre-adoption process because it's weak and direct inhibiting influence become an “enhancer” in the association between effort expectancy (EE) and the three key TAM/UTAUT constructs [performance expectancy (PE), attitude (ATT), and adoption intention (INT)]. Most importantly, the role of EE as a strong driver of PE, ATT, INT, and its significant interaction with PR highlights the unique role that both risk and EE play in the adoption process.
Over the years, social media has brought many benefits to different fields, especially in the business sector. Most of the existing organizations have taken these benefits to actively engage with the public to increase their online business value. The use of hashtags on numerous social media platforms especially on Instagram is one of the highly used benefits. By tagging specific postings, business organizations are able to promote and communicate with their customers directly in a more interactive manner. In this article, the authors are exploring the following: (1) to determine the effectiveness of the existing analytics method (text identification and trend analysis) for analyzing Instagram hashtag data and; (2) to determine the effectiveness of existing analytic techniques such as Naïve Bayes and Support Vector Machines (SVM) suited for the selected analytics method. As a result, the authors have identified that the combination of Trend Analysis method and SVM are an effective social media analytics approach for analyzing Instagram hashtag data.
Enterprises are progressively embedded in business to business atmospheres, in order to achieve their common business objectives. Such collaborations lead to Inter-Organizational Business Processes. Therefore, IOBP modeling involves new challenges, mainly the ability to deal with autonomy, privacy, heterogeneity. As a contribution in this area, a IOBP meta-model was designed. This model takes into account the maximum concepts related to the collaboration. Where, the process is complex, and its model in a global way affects its vision and complicates its implementation and hence the idea of its analysis into sub-IOBP to reduce the complexity of the global collaborative process, to streamline information exchange and to facilitate the understanding of the process by partners. A set of Atlas Transformation Language (ATL) transformation rules has been defined to convert Unified Modeling Language (UML) models to Business Process Model and Notation. Finally, the application of our approach has been demonstrated through a framework which can solve the problem of generic IOBP.
This article analyses the specific work tasks that 302 professional workers from the Basque region in Spain perform on social media (SM) for attaining their objectives, together with the work satisfaction they gain. The target population consisted of 23,000 professional workers in the Spanish Basque Country region, both employees and self-employed, with a particular interest in the use of new technologies. A sample of 302 professional workers were surveyed. The author found that professional workers are using SM applications to accomplish a wide range of objectives. Employees themselves are using SM for business purposes with their own strategy and on behalf of the company they work for. In addition to the SM strategy of the employees being integrated within the overall business strategy, managers should encourage them to use SM as this all contributes to the better performance of the company.
The objective of this study is to examine factors that influence Indian consumer's assortment satisfaction towards the online purchase of footwear. A questionnaire was used to collect data using stratified sampling from different online shoppers. Structural equation modeling showed a significant impact of product display and price comparison on assortment satisfaction. Arguably, this is the first article which shows a linkage between product display and price comparison on assortment satisfaction for online footwear purchases. Further, a moderation of income and gender upon the two independent variables was studied using hierarchical regression method. Gender along with gender and income interaction with price comparison moderates assortment satisfaction.
This article tests a number of networking and information exchange factors that may influence users' participation in niche social networking sites (SNS). The factors identified in the literature review as influential for participation in social networking sites were implemented in a model tested using quantitative data from 152 users. Gratifications related to socialising, self-status seeking, social support, and learning and innovativeness were identified as significant for participating in niche SNS. As only a subset of the general purpose SNS gratifications were found to be of statistical significance for niche sites, it is suggested that further research that includes a wider set of factors is necessary to determine the similarities and differences between gratifications influencing participation in general purpose and niche SNS.
This article examined two aspects of user decision making for social commerce and suggested technology acceptance model as cognitive process and stimulus-organism response as affective process to explain the people's behaviors. Research methodology is a survey for undergraduate students, which was conducted in December 2013 on a popular social commerce site (www.ticketmonster.co.kr). In the results, first, usefulness and ease of use are shown to increase user intention of social commerce. Second, joy and pride increase user intention of social commerce, while fear decreases it.
This article compares four data mining models (discriminant analysis, logistic regression, decision tree, and multilayer neural networks) for online auction transaction predictions. It aims to choose the best model in terms of prediction accuracy and to identify determinants significant for auction transactions. By using datasets from eBay, the authors find that the best data mining model for auction transactions is multilayer neural networks. Logistic regression and decision tree models can be used to identify determinants significant for auction transaction such as seller's feedback profile, listing picture, listing files size, return policies, and others. By adjusting these listing options, sellers could increase the auction transaction likelihood. This study will help sellers improve their auction listings by constructing effective selling strategies so that they can enhance the likelihood of online auction transactions. All these efforts will help improve their online auction performances and finally lead to a more efficient electronic marketplace.
As new ICT products appear on the market, many managers choose to adopt them without clear evidence of the productivity benefits often claimed by vendors. Some may trust or hope that the promised benefits do eventually materialize, but others may adopt them because of ICT's symbolic meaning. This article investigates the links between ICT, corporate image, and purchase decisions or other forms of support among prospective customers, a previously neglected external stakeholder group. This article presents an experiment testing the links between IT, corporate image, and support behavior among customers. The results show that there is a strong link between conspicuous use of IT artifacts and corporate image leading to support behavior among customers. Social meaning of IT indirectly affects customer support and firm survival. This explains why savvy managers adopt new IT products that are consistent with their desired corporate images without clear evidence of the productivity benefits. Implications for theory, practice and future research are discussed.
This article aims to study the diffusion and adoption of electronic payment systems in Bangkok, Thailand. This study is a cross-sectional survey of 394 respondents who lived in Bangkok. This research employs Pearson's correlation and structural equation modeling (SEM) to answer two research questions: 1) How do the socio-economic classes of people show differences in the use of e-payment systems? and 2) What are significant factors driving customers to use e-payment systems? The findings show that user behavior has a positive correlation with personal income. Higher-income people tend to use electronic payment systems more than lower-income people. There is no relationship between areas and use behavior. Moreover, the research shows that adoption readiness, income, and internet banking positively influence use behavior significantly, while electronic money shows a significant negative relationship with use behavior. Education and age indirectly influence use behavior via personal income. The authors also addressed both theoretical and practical implications.
Changes in consumer behavior enabled by social networking technologies is leading to a transformation in e-commerce. Consumers' use of social media sites and relevant technologies for different aspects of shopping has become an issue of utmost concern to retailers and related businesses. Adopting a uses and gratifications theory (UGT) perspective, the article aims to demonstrate motives of users utilizing social media in their purchase decisions. Drawing from digital marketing and e-commerce literature, relevant uses and gratifications for social commerce (s-commerce) were chosen as information access, escape, entertainment, passing time, cool and new trends, and socialization. The proposed model was analyzed and tested via OLS regression and ANOVA analysis using the data collected from a survey study on 361 subjects in Turkey. Information access, relaxing entertainment, and socialization motives emerged as significant antecedents of s-commerce intentions. No significant effect of demographics on social commerce intentions were observed in the analysis.
Despite the considerable role of consumers' emotive and cognitive origins in performing e-commerce transactions, a few empirical investigations systemically integrate the utilitarian and hedonic factors into the online retailing environment to uncover consumers' purchase choices and repatronage decisions. Built upon the dual-process framework and cognitive model (COG) of satisfaction decisions, this article proposes that anticipated elation (emotive factor) and trust propensity (cognitive factor) are the determinants of immersive satisfaction (emotive factors/outcome) and repatronage intention (cognitive outcome). The study further argues that the utilitarian and hedonic factors moderates the proposed relationships. A sample of 424 valid questionnaires was collected from experienced online consumers in Malaysia. Statistical analysis of the study was conducted using partial least square (PLS), which is a variance-based structural equation modeling (VB-SEM) technique, for both measurement and structural assessments. The empirical evaluation supports the structural relationships between exogenous and endogenous constructs in the online retailing environment. Additionally, utilitarian and hedonic product type moderates the proposed structural relationships, except for the relationship between anticipated elation and immersive satisfaction. The research's practical and theoretical implications are discussed.
Although mobile money (MM) has been explored in the existing literature, the roles of trust and risk in MM use have received little attention from researchers. Furthermore, many of the existing studies have treated these constructs as unidimensional. The extant literature also shows that perceived risk has received little attention from researchers who have conducted studies on MM. Thus, the objective of this study is to examine the roles of trust and perceived risk in customers' intent to adopt MM services in Ghana. Both trust and perceived risk were broken down into various dimensions. The study involved 671 respondents who were selected via an intercept approach and an online survey. Structural equation modelling was used to test the study's hypotheses. The findings show that perceived risk is negatively associated with customers' intent to use MM services and economy-based trust. Trust in service providers and economy-based trust are positively associated with customers' intent to use MM services. The implications of the findings are provided in the latter part of this study.
The rapid growth of the internet users in Indonesia poses a challenge to marketers to explore and develop the potential for e-commerce. In this article, consumer trust is expected to encourage customers to make repurchases in online stores. This article aims to build a determinant model of repurchase intention at online stores in Indonesia. This article is based on a survey of Indonesian online store consumers. Respondents were asked to provide responses related to satisfaction, trust, website quality, and repurchase intention. There were 193 final respondents obtained from 300 distributed questionnaires. The model was tested using Structural Equation Modeling (SEM) with AMOS 18. The results revealed the role of the mediating variable of customer satisfaction on repurchase intention. The findings are expected to contribute ideas related to the formation of model reinforce the repurchase intention of online store customers. This implies for website designers to design an online store capable of increasing trust and strengthening the repurchase intention.
The purpose of this study is to explore the structural meaning of empowerment realized through microcredit from the women's perspective. Women-lived experiences have been gauged to see how they feel empowered when microcredit is selected as transformation for their lives; also identifying the status of branchless banking is in focus. Abductive research strategy with hermeneutics phenomenology for interpreting women interviews are applied. The participants were selected through purposive sampling, 46 were interviewed from 17 districts of Sindh, Pakistan. Through interpretative phenomenological analysis, interviews were analyzed; and meaning constructed that women with financial stability are empowered specifically in a familial context; also, results show that branchless banking like easy paisa and other mobile financial services are in emerging stage and there is desire need of it. Microfinance practitioners can design strategies, framework and training according to the specific needs noticed in this study.
Extant article utilizes the UTAUT Model with Islamic religiosity as a moderator to understand the adoption of SADAD payment system by Saudi banking customers. Islamic religiosity effects the behavior and choices of people. Path analysis performed on 248 respondents' data collected through questionnaires tests the conceptual hypotheses. All hypotheses except H3 was unsupported, which reveals that social influence (SI) had an insignificant relation with behavioral intention (BI). Multi-group analysis was performed on AMOS by dividing respondents into two groups with high and low Islamic religiosity values. Overall, results reveal that religiosity moderates the positive effect of BI on usage behavior (UB). The author found no effect for those with low scores on religiosity values. However, consumers with high score religiosity values have a stronger positive effect between BI and UB. Moreover, the UTAUT + IR explained 80% variance in UB. High religiosity customers find SADAD a better option.