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Purpose: Using the affect theory of social exchange, this study investigates the mediating role of students' affective commitment between their personality traits (extraversion and agreeableness) and academic performance. Design/methodology/approach: This research employs mixed-method study, that is exploratory text analysis using 123 responses followed by a survey of 300 responses among the management students to test the proposed model. Findings: Results reveal a direct positive association of extraversion and agreeableness with students' affective commitment towards their academic institution. Additionally, negative indirect effects of affective commitment were found between the two personality traits and academic performance. Originality/value: The study highlights both positive and negative outcomes of so-called favorable personality types of extraversion and agreeableness, thereby, building a prima facie case for promoting personality diversity in management institutions.

Synced advertising is a relatively new strategy in which ads are personalized based on concurrent media usage. The aim of this study was to explore whether the sequence in which TV commercials and tablet ads were shown in synced advertising affected consumers' memory and attention toward advertisements in both media. Because of public debate about privacy concerns related to personalized advertising, we examined the moderating role of consumers' privacy concerns as a personal factor. An eye-tracking experiment (N = 118) showed that, overall, synchronizing ads across media results in the most favorable cognitive responses. The placement of a tablet ad simultaneous to (versus before or after) a TV commercial for the same brand resulted in the most attention toward both ads. However, consumers with higher (versus lower) privacy concerns paid less attention to the tablet ad when it was shown simultaneously with the TV commercial, compared to consumers with lower privacy concerns. The results show that synced advertising is a promising personalized advertising strategy for the industry but at the same time it might be less effective for people with higher privacy concerns. [ABSTRACT FROM AUTHOR]

Retailing and media platforms recommend two types of items to their users: sponsored items that generate ad revenue and nonsponsored ones that do not. The platform selects sponsored items to maximize ad revenue, often through programmatic auctions, and nonsponsored items to maximize user utility with a recommender system (RS). We develop a binary integer programming model to allocate sponsored recommendations considering dual objectives of maximizing ad revenue and user utility. We propose an algorithm to solve it in a computationally efficient way. Our method is a form of postfiltering to a traditional RS, making it widely applicable in two-sided markets. We apply the algorithm to data from an online grocery retailer and show that user utility for the recommended items can be improved while reducing ad revenue by a small amount. This multiobjective approach unifies programmatic advertising and RS and opens a new frontier for advertising and RS research. We provide an extended discussion of future research topics. [ABSTRACT FROM AUTHOR]

Security and privacy policies address consumer concerns related to security and privacy in e-commerce websites. As these policies represent only the vendor’s perspective, often there exists a mismatch between the stated and desired policy. Based on transaction cost theory, we speculate that business-to-business (B2B) and business-to-consumer (B2C) e-commerce customers use their transaction cost savings in order to obtain varying levels of security and privacy. These differences are bound to be reflected in the security and privacy policies of e-commerce companies. Therefore, in this paper, we perform a comparative content analysis of the security and privacy policies in B2C and B2B e-commerce. Results show that B2B vendors are more concerned about security than their B2C counterparts, while B2C vendors are anxious about intimacy and restriction privacy. Our findings have important implications for e-commerce consumers and vendors as individual and corporate consumers have varying concerns while transacting online. Individual consumers are concerned about maintaining security and intimacy privacy, whereas corporate users are anxious about regulatory issues. Therefore, B2C vendors should incorporate stringent measures dedicated to confidentiality and protection of consumer data as well as enhance intimacy privacy in their security policies, while their B2B counterparts should focus on enhancing restriction privacy. [ABSTRACT FROM PUBLISHER]