Livestreaming shopping platforms have emerged as dynamic and innovative channels for e-commerce, mobile commerce, and social commerce, revolutionizing the way consumers engage with online retail. Drawing upon the Technology Acceptance Model 3 framework, this research seeks to provide a comprehensive understanding of the interplay between perceived risk, trust, innovativeness and deal proneness in shaping consumers’ purchasing behavior in the livestreaming social commerce context. A snowball sampling method was applied to collect data from 675 Chinese livestreaming customers in December 2022. A PLS-SEM analysis was used to measure the proposed model. The results confirm that the present model has weak explanatory power except for medium predictive accuracy in explaining consumers’ purchasing behavior in the livestreaming social commerce context (R² = 0.35; Q² = 0.31). This research contributes to the social commerce literature by extending the Technology Acceptance Model 3 (TAM 3) to the novel domain of the livestreaming social commerce context, offering insights into the unique drivers of consumers’ purchasing behavior. It also provides practical implications for platform developers and marketers aiming to enhance consumer experiences and increase sales performance, thereby increasing economic growth.

Social media advertising effectiveness is a fundamental issue that remains poorly examined in academic research. The aim of this research is to investigate differences regarding user reactions to advertisements on Facebook. An online survey of Facebook users was conducted to test the hypotheses. Originality, liking, credibility, and irritation have significant effects on consumers’ attitude toward the advertising, which in turn positively influences their purchase intention and recommendation of the brand. Moreover, Advertisements driving visitors to the brand’s Facebook page are less irritating, more original, credible, and liked than those driving them to the brand’s website. Managers could be guided by our results in deciding which features to place at brand posts to enhance their effectiveness. Other managerial and theoretical implications of the findings are identified and future research directions are suggested.

Establishing customer trust in an online vendor requires the provision of an environment in which customers can overcome their fear and reluctance about shopping transactions by forming trust and positive perceptions about the online vendor. This paper studies the impact of the colors of e-commerce websites, as an atmospheric variable of the interface, on customer trust. The effect of the colors of e-commerce websites on customer trust has only been indirectly examined in terms of website characteristics, such as website quality and usability, where color is viewed as a key interface attribute. Thus, the relationship between color itself and trust remains largely under investigated. To address this gap, this paper presents an exploratory qualitative study on how customers develop trust in an online vendor, as a result of the colors of the e-commerce website. The empirical findings provide theoretical and practical implications regarding the effect of web stores color on trust.

Purpose: Despite the increasing use of home delivery (HD) in e-commerce, no studies have explicitly examined consumer perceptions of the convenience of the last-mile delivery of goods by cargo bike (CB). Therefore, this study aims to identify the dimensions of HD convenience and to develop a reliable and valid measurement tool, namely the Home-Delivery Convenience via Cargo Bike (HDCCB) scale.Design/methodology/approach: The methodology of this scale development study is premised on a review of the existing literature, which identifies differences in consumer perceptions of the convenience of services. The authors conducted semi-structured interviews with 10 online consumers and validated the content with 3 experts on marketing in the retail and services sectors in order to develop the items for the scale. Thereafter, the authors identified the main dimensions through an exploratory factor analysis that the authors applied to an online survey with 116 respondents. Finally, the scale was validated through a confirmatory factor analysis of an online survey with 300 respondents.Findings: Following the original work of Brown (1990), the authors define consumer perceptions of HD convenience as a multidimensional construct and measure each facet of its four dimensions, which are time, use, execution and acquisition. E-retailers and last-mile logistics providers could use the authors' proposed measurement tool to assess consumer perceptions of the convenience of HD. That assessment could generate a competitive advantage.Originality/value: This study is original as the study deepens the existing understanding of consumer perceptions of the convenience of HD by CB in last-mile logistics. This study also develops a multidimensional measure that is based on an empirical study.