Examining consumers' continuous usage of multichannel retailers' mobile applications

This paper examines the variables influencing a consumer's satisfaction and continuous use of a multichannel retailer's mobile application. Drawing upon the Expectation Confirmation Model for Information Technologies, post-adoption literature, and consumer behavior literature, we assess pertinent factors on the continuous usage of multichannel retailers' mobile apps. Through a sample of 1009 consumers who retained a retailer's mobile app for more than 6 months and conducting Structural Equation Modelling, the findings illustrate that utilitarian variables (perceived usefulness, ease of use, and personalization), hedonic variables (perceived enjoyment), and a brand-related variable (consumer loyalty intention toward the retailer's brand), play a significant role in influencing continuous usage of multichannel retailers' mobile apps. In contrast to e-commerce research, the study outlines that escapism plays a negative role in both consumer satisfaction and intention to continue to use a multichannel retailer's mobile app. Previous research points to the fact that consumers' retention of retailers' apps is low. This paper contributes to the emerging literature on consumers' continuous use of retailers' mobile apps through enhancing our understanding of technology and non-technology-related variables.     

Brand trust and engagement in social commerce

With the surge in social media (SM) users around the world, the scope of social commerce (SC) in brand engagement is a prominent area of discussion. The present study empirically investigates the effect of social commerce construct (SCC), multi-dimensional constructs of social presence theory (SPT) and consumer generated content (CGC) on brand trust and brand engagement in SC platforms. An online survey was conducted among 625 Indian consumers who had made more than one purchase using SC platforms in the previous 6 months. Structural equation modelling technique was employed for testing the hypotheses and conceptual model. The results suggest that each element of SCC, SPT and CGC positively contributes to brand trust and engagement. Further, the study provides insight into brand trust and brand engagement in SM, which prompts brand usage intention of the consumers. The insights can be used by managers to create long-term customer relationship management action plans that emphasize brand trust and engagement.     

Fashion shopping on the go: A Dual-stage predictive-analytics SEM-ANN analysis on usage behaviour,experience response and cross-category usage

With the proliferation of mobile commerce, mobile shopping has become the buzzword in the electronic commerce industry. To examine the predictive factors that affect the usage behaviour, experience response, and cross-category usage in mobile fashion shopping, an integrated research framework, comprising of the Mobile Technology Acceptance Model and individual attributes in terms of lifestyle orientations was proposed. The quantitative data, derived from 500 qualified responses, collected through a survey questionnaire, was validated via a two-stage predictive-analytics SEM-ANN approach to identify the non-compensatory and non-linear relationship. All six of the ANN models showed consistent relationships and rankings with the SEM results. The findings imply that mobile commerce developers and designers should ensure that the functions provided can satisfy the evaluation criteria of users with different lifestyle orientations, whereby the advantages of the mobile commerce platforms should be highlighted in the marketing messages to drive first-time usage, as well as extended usage across different mobile commerce platforms (i.e., mobile sites and mobile applications) and product categories. From the theoretical perspective, the findings revealed the indirect influence of the individual attributes on the usage intention of innovative mobile technology. The research is also the first to adopt non-compensatory neural network analysis to compensate the linear SEM analysis in the study on mobile shopping of fashion products.     

COVID-19 and changes in content usage behavior: The case of South Korea

This study examines changes in content usage time due to the COVID-19 pandemic in South Korea using Korean Media Panel data for the period 2011–2020 and explores the reasons for these changes. This study focuses on four principal contents: television programs, movies/videos/user-created content, traditional telecommunication services, and chatting/messenger/social network services. The empirical results indicate an increase in usage time for the four principal contents, as well as total content usage time because of the pandemic. The results also show that average Korean people stayed longer at home after the onset of the pandemic, leading to an increase in the time spent on all the principal contents, except for traditional telecommunication services, as well as an increase in total content usage time. Furthermore, this study suggests that whereas the effect of the pandemic on television program viewing time was mainly attributable to changes in time spent at home because of the pandemic, the effect on other contents was mainly caused by non-location-related factors. This study predicts changes in content usage time after the end of the pandemic and provides strategic suggestions.