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Purpose Mobile appstores have fast sprung up during the last few years. The large number of apps in these appstores results in increased search effort for the customer as well as fierce competition leading to poorer revenues for both appstores as well as developers. Therefore, appstores allow developers to resort to bundling apps so as to increase the revenues and improve customer loyalty. Since an app-bundle is a mix of two or more apps, it may induce both positive and negative emotions simultaneously in the consumer. The purpose of this paper is to examine the effectiveness of app-bundling strategy from consumers’ perspective, and help developers design app-bundles. Design/methodology/approach Based on ambivalence theories, this research investigate different antecedents and influence of positive attitude and negative attitude on purchase behavior, and derives seven key app-bundles attributes through an exploratory study. The data were collected from 930 consumers of app-bundles in China and analyzed using SEM approach. Findings The findings indicate that positive attitude and negative attitude are two separate concepts and the identified seven app-bundling attributes have distinct effect on shaping consumers’ positive and negative attitude. Originality/value This study makes three key contributions to theory and practice. First, this study identifies the specific attributes of app-bundles using exploratory study. Second, this study addresses the challenges involved in examining bundles using ambivalence theory. In doing so, it characterizes attitude as positive and negative and treats them as separate constructs. Third, as called forth by previous studies, this study establishes the co-existence of positive attitude and negative attitude.

PurposeDashang refers to a reward given voluntarily to street performers in return for their performance. Some social media platforms have created a way to integrate this as a function, referred to as the dashang feature, to allow users to reward live performers online as well. Over the last few years, this function has become extremely popular among social media users, as it recreates the nostalgic experience of watching street performances. Platforms now consider it indispensable, as it has become a source of substantial revenue (commission on rewards earned by performers). However, not all users reward performers. For each user who pays, there are many more who lurk on the platform. This study examines the reasons for these differences using the Big Five personality perspective and justice theory.Design/methodology/approachWe develop an empirical model using the Big Five theory and justice theory and test it using empirical data collected through a survey of WeChat users.FindingsThe results indicate that distributive justice, interpersonal justice and informational justice are essential factors in relation to social media users' use of the dashang feature. It is also found that personality type affects these three factors.Originality/valueThis study makes three key contributions. First, it examines the factors that influence users' voluntary use of the dashang feature using the lenses of the Big Five theory and justice theory. Second, this study extends previous results on perceived justice to examine use of the dashang feature in social media. Third, this study applies these theories to the study of consumer behavior by exploring the role of user characteristics in social media use.

PurposeA rash of security incidents in ride-sharing have made discovering the mechanisms to repair consumers' trust essential for the information technology (IT)-enabled ride-sharing platforms. The purpose of this paper is to explore how the two response strategies (i.e. security policies [SPs] and apologies) of platforms repair passengers' trust and whether the two implementation approaches of SPs (i.e. pull and push) lead to different results in repairing passengers' trust in the platforms.Design/methodology/approachA field survey based on a real scenario (n = 238) and an experiment (n = 245) were conducted to test the hypotheses empirically. Structural equation modeling and one-way analysis of variance (ANOVA) are employed in the data analyses.FindingsThis study finds that (1) both SPs and apologies aid in repairing trust; (2) repaired trust fully mediates the influence of SPs on continuance usage and partially mediates the influence of apologies on continuance usage; (3) security polices and the three dimensions of apologies play different roles in repairing trust and retaining passengers and (4) both pull-based and push-based SPs can repair the violated trust; however, the effect of the pull approach is greater than that of the push approach.Practical implicationsThe findings provide guidelines for ride-sharing platforms in taking appropriate actions to repair users' trust after security incidents.Originality/valueThe findings reveal the mechanism of trust repairing in the fields of ride-sharing and extend the contents of the trust theory and pull–push theory.

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