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While algorithms increasingly outperform human experts and gain widespread adoption, many individuals still resist using them due to algorithmic aversion. Although prior research has examined the appreciation and avoidance of algorithmic advice, the underlying mechanisms driving these decisions remain underexplored. This paper investigates the role of individuals’ readiness to act, specifically whether they adopt a deliberative or implemental mindset, in shaping their openness to algorithmic advice. Across three hypothetical studies and one incentive-compatible study, results show that individuals in a deliberative mindset, characterized by thoughtful evaluation, tend to prefer advice from human sources. In contrast, those in an implemental mindset, characterized by action-oriented thinking, are more likely to prefer algorithmic advice. Additionally, the findings reveal that perceived uncertainty moderates the influence of mindset on algorithmic receptiveness. These findings offer nuanced insights into the psychological mechanisms that drive engagement with algorithms and suggest practical strategies to enhance collaboration with both algorithmic and human recommendations. © 2025 Elsevier Ltd

Prior literature has reported a tendency for consumers to rate peer-to-peer (P2P) services more positively than the same services provided by traditional businesses (e.g. Airbnb vs. hotel). We first show that consumers experience greater empathy toward a P2P service provider (a person) than a traditional service provider (a business). We then show that P2P services enjoy higher evaluations because empathy for the provider leads consumers to tolerate minor negative elements in those settings as compared to traditional business settings. Further, we show that this effect is moderated by the perceived size of the business. The implications of this type of rating bias on traditional businesses and consumer welfare, and the limitations of this research, are discussed. © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Requests for charitable cash gifts during rite-of-passage occasions (e.g., weddings) are becoming increasingly common. This research examines whether recipients’ appreciation differs depending on whether a requested cash gift is charitable (e.g., donating to support people in need) or recipient-benefiting (e.g., renovating the recipient’s kitchen). Across five studies, we find that the effect of the gift type on appreciation is moderated by the gift amount. For low amounts, recipients appreciate charitable gifts more than recipient-benefiting gifts. However, for moderate and high amounts, appreciation is similar across gift types. This effect is mediated by the recipients’ perception of whether the gift amount meets their expectations and their subsequent perception of thoughtfulness. Consistent with our mechanism, in distant giver-recipient relationships, the effect of the gift type on appreciation for low amounts is attenuated. When gifts are not requested, recipients appreciate charitable gifts less than recipient-benefiting gifts.

Academic dishonesty of students is a problem that threatens the integrity of educational institutions. Understanding the sources of academic dishonesty has become an urgent need, which compels higher educational institutions to evaluate and redesign approaches to address this problem. To develop new and important insights about this this form of student misconduct, this paper takes an integrative social cognitive perspective. It explores students’ attitudes toward various forms of academic dishonesty. The central research question concerns the impact of individual differences in moral disengagement and Machiavellianism on academic dishonesty tendencies. The study is based on a sample of 195 students at a public university in northeastern United States. Analysis was conducted by partial least squares equation modeling (SmartPLS-SEM). The analysis disclosed that, in sum, moral disengagement was strongly associated with academic dishonesty attitudes of fabricating information and both moral disengagement and Machiavellianism were associated with obtaining unfair academic dishonesty advantages. Data supported nearly all aspects of a structural model of academic dishonesty tendencies, with the exception of an association between Machiavellianism and receiving or abetting academic dishonesty, as well as an association between moral disengagement and ignoring prevalent practices that were in the predicted direction but were not significant. These findings provide a general understanding of the process by which academic dishonesty is determined. Study implications for ameliorating the impact of academic dishonesty are as follows: students should be engaged in an atmosphere full of communal morality, dissuasive of justificatory rationalizations and social arrangements that negate students’ use of moral disengagement.

The exponential growth of big data, driven by AI and machine learning technologies, underscores the need for an ethical and sustainable approach to data utilization. Using problematization methodology, we consider the assumptions underpinning Big Data and AI and reconsider them from a sensemaking perspective. Big data represents an enactment rather than an objective reality, and organizations play an active role in its adoption and use. Strategizing is driven by plausibility rather than accuracy, and big data generates a retrospection of the past rather than a prediction of the future. A sensemaking perspective serves as reality check for managers, emphasizing the necessity of long-term sustainability and societal well-being. By cultivating experiments for learning communities and incubating innovation, organizations can effectively leverage big data in marketing, fostering transparent, collaborative, ethical, and sustainable data practices. © 2025 IEEE Computer Society. All rights reserved.

Despite the ethical concerns over the datafication and surveillance of individuals and groups, companies are making ever greater investments in big data. The assumptions underpinning this movement are: (1) organizations are passive implementers of big data—more data is the inevitable consequence of technology and a competitive necessity for business, (2) more data offers a more objective and accurate picture of reality and (3) more data enables better prediction. We argue that this perspective is strategically unsustainable and abdicates ethical responsibility.

From the seclusion of monastic life to the noise of Silicon Valley, the ancient practice of mindfulness has ‘come out of the cloister.’ As an antidote to mindless cognition and behavior, the practice of mindfulness—with its principle of grounding attention in the present moment—has been shown to have powerful and positive effects at both the individual and the collective level and in fields as wide-ranging as medicine, schooling, prison programs, law and negotiation, business, and even the army. This installment of Marketing & Technology introduces mindfulness to managers and explores its potential for enhancing the service encounter. We begin by reviewing the two main conceptualizations of mindfulness: the cognitive and the contemplative. We then explore the service encounter from the perspective of emotional labor and show how mindfulness can change surface acting into deep acting, thereby significantly improving the service encounter for both the consumer and provider. We also explore the other benefits of mindfulness and their application to the service encounter: adaptability, flexibility, and creativity. We conclude by sharing resources for managers interested in implementing mindfulness training.

Motivated by the ongoing debate on the costs and benefits of corporate social responsibility (CSR), we explore how talented managers view CSR investments. Based on nearly 20,000 observations across 17 years, our evidence reveals a nonmonotonic effect of managerial talent on CSR. Exploiting a novel measure of managerial ability, we find that talented managers view CSR investments favorably. However, only those with especially strong talent are in favor of CSR investments. For executives ranked above the 75th percentile in terms of managerial talent, an increase in managerial ability leads to more CSR investments, suggesting that these strongly talented managers perceive CSR as enhancing firm performance. In contrast, for those with weaker talent, CSR investments are negatively associated with managerial ability, implying that these weakly talented managers view CSR as a wasteful deployment of resources. Further evidence shows that our conclusion is unlikely confounded by endogeneity.

Motivated by recent productivity-based theories of diversification, we argue that only conglomerates with an optimal degree of diversification can utilize their comparative advantages across various industries and achieve economies of scope by eliminating redundancies. Evidence from both corporate bond and equity markets suggests that optimally diversified conglomerates consist of either (1) approximately five equally weighted divisions, or (2) one large core business segment that roughly accounts for 75 % sales. Moreover, the relative size of divisions has a critical impact on how diversification affects credit spreads and excess values. Nonparity among divisions correlates with greater costs that increase with the number of divisions.

Conditional promotions are designed to entice consumers to increase their basket sizes to meet a preset promotional threshold. In this research, we examine consumers' basket sizes, promotional thresholds, incentive framing and seemingly irrelevant cues in shopping environment as the factors that may jointly influence the effectiveness of a conditional promotion in inducing shoppers to increase their basket sizes. Our findings from five studies demonstrate that (i) the difference between basket sizes and promotional thresholds or seemingly irrelevant cues in shopping environment may induce an experience of psychological distance, (ii) the experience of psychological distance may interact with incentive framing to influence consumers' search likelihood in response to a conditional promotion such that psychological proximity (remoteness) leads to higher search likelihood in response to negatively (positively) framed incentives. We found that this effect is consistent across studies with different values of basket sizes and promotional thresholds and across behavioral and self‐reported measures representing search likelihood. (PsycInfo Database Record (c) 2025 APA, all rights reserved)

Request PDF | Induction of Construal-Level Mindset via Experience of Surprise: An Abstract: Proceedings of the 2018 Academy of Marketing Science (AMS) Annual Conference | An experience of surprise is often an outcome of disconfirmation of expectations and can be associated with positive or negative affect depending... | Find, read and cite all the research you need on ResearchGate

In this research, we find that incentive valence and construal-level mindsets can interact to influence behavioral persistence on challenging tasks. An abstract mindset improves persistence in response to positively framed incentives whereas a concrete mindset improves persistence in response to negatively framed incentives. This interaction effect can be observed even when the cues inducing construal-level mindsets are not related to the incentives or the incentivized tasks. Participants in our studies were either positively or negatively incentivized to solve a set of difficult anagrams, and were primed with an abstract or a concrete mindset using spatial (Study 1) and social (Study 2) cues. The participants persisted longer in response to the positively framed incentive when primed with spatially or socially remote cues. In contrast, for the negatively framed incentive, participants persisted longer when primed with spatially or socially proximal cues. Copyright © 2017 John Wiley & Sons, Ltd.

This research examines the impact of generative artificial intelligence (AI) on the perception of educational content quality, specifically by comparing AI-generated and human-generated course syllabi in marketing education. Results from four studies indicate a general preference for AI-generated syllabi, attributed to their greater perceived objectivity. This preference is more pronounced in conventional courses but diminishes in unconventional ones, suggesting that the unique aspects of these courses may reduce the advantages of generative AI. In addition, disclosing the AI authorship of syllabi significantly affects their perceived quality negatively, underscoring the impact of transparency on the acceptance of AI-generated educational materials. These findings highlight the potential of generative AI in educational content creation and its limitations in certain contexts. They offer valuable insights for enhancing educational practices and shaping policy decisions to enrich student experiences in the era of AI integration.

Today's practicing marketers and scholars are confronted with a wide array of conflicting and imprecise information about best practices by which to search, gather, consolidate and interpret market information. Consequently, the need has never been greater to optimize market sensing to generate managerial actions that efficiently and effectively utilize knowledge of emerging consumer needs and competitive threats. This book addresses these urgent concerns. In essence, Market Sensing Today will cover, in ground-breaking ways, the following marketing managerial areas: * marketing opportunities associated with conventional and progressive bases of segmentation. * trends in market segment size and growth affecting long-range planning. * strategic direction for reaching future goals. * managerial understanding of assumptions competitors make about themselves. * the direction of current market strategies. * adding to the knowledge of a firm's core competencies. * how new market knowledge is best integrated into a firm's market intelligence system. * best ways to ensure the quality of information underlying decisions. * how benchmarking improves with market sensing. * best approaches for translating business issues into projects. * ways that key information may be disseminated within firms. * how proposed strategic changes are promoted by market sensing. * roles customer satisfaction insights play in policy. This book will address these key issues and more, to advance theory, research and practice based on latest developments in this vital field. It will show how to re-formulate traditional models that no longer work.

For more than a decade, since the US Supreme Court ruled in Citizen’s United (2010), individuals and groups interested in the outcome of elections have increasingly donated to outside groups that avoid the restrictions imposed on candidates and traditional political action committees (PACs). As a result, total election spending more than doubled in the first five years and has continued to increase since then. Although American political advocacy groups refrain from formal electioneering, much of the increase in spending since Citizen’s United has been directed toward election campaigns under the guise of issue-advocacy ads. This raises the question of whether voters perceive a difference between candidate-sponsored ads and campaign-focused issue-advocacy ads. Unexamined is the impact that advertising by outside groups has on voters and whether voters are even aware of the sponsors of the ads they view. This study addresses whether voters can differentiate between ads sponsored by candidates or outside groups. Using an experimental design, we find that viewers cannot determine the sponsor of campaign ads, despite federal requirements for sponsor disclaimers. © 2024 Common Ground Research Networks. All rights reserved.

Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned behaviour theory is silent about the significant impact on academic dishonesty of past academic dishonesty behaviours. The objective of the present study is to analyse, through the lens of social learning theory, the effects of past behaviours that predispose academic dishonesty: differential association, i.e., the effects of individual learning, through interaction with others, of the values, attitudes, techniques, and motives for deviant behaviour, on the prediction of academic dishonesty intentions. Additionally, the study tests the effects of Machiavellianism, or dishonest and deceptive behaviours on the relationship between past academic dishonesty acts and academic dishonesty attitudes. Results of the study reveal that differential association with cheating acceptors strengthens the relationship between academic dishonesty attitudes and intentions. Additionally, Machiavellianism at higher levels intensifies the relationships between past academic dishonesty behaviours and contemporary academic dishonesty attitudes.

Purpose This paper aims to investigate the role of the service provider in determining customer satisfaction in sharing economy services. The authors sought to examine how the intrinsic and extrinsic cues along with their interactions influence customer satisfaction. Design/methodology/approach This research uses a mixed-methods design to test the hypotheses. Study 1 uses secondary data from Inside Airbnb. Study 2 uses a 2 × 2 × 2 between-subject experimental design. Findings Both studies support the confirmation bias perspective over the expectancy-confirmation perspective in explaining the interplay among different cues in determining customer satisfaction. In the context of Airbnb, in the absence of a Superhost badge, if hosts adopt a reactive communication style, physical presence has a greater impact on customer satisfaction compared to virtual presence. Originality/value This study extends the services marketing literature and cue utilization theory by investigating the dynamic interactions among multiple intrinsic and extrinsic service cues. It shed new light on how a combination of these cues may become additive or redundant in determining customer satisfaction. This study contributes to the services marketing literature by addressing the interactive nature of sharing economy services and the neglected role of service providers.

Today's retailers face significant competition due to the proliferation of both retail formats and channels. It is crucial for retailers to understand how to develop a loyal customer base for competitive advantage. To this end, we conducted a meta-analysis of 1,908 effect sizes from 319 studies on retailer loyalty over the last 50 years, to examine the impact of cognitive, affective, and social retail experience on customer loyalty toward a retailer. Our analysis shows that affective experience became more important over time and had the highest impact on retailer loyalty, 24% more than that of social drivers and 50% more than cognitive drivers. Affective experience is particularly impactful online and for retailers of hedonic or low-involvement products. Social drivers increased significantly in impact over time too. Its effect was particularly strong on attitudinal loyalty, for studies with a higher proportion of females, and surprisingly, in utilitarian rather than hedonic retail contexts. Taken together, our findings suggest that traditional cognitive differentiators such as price and product assortment are no longer sufficient for maintaining customer loyalty to a retailer. Positive affective and/or social experience represent a more defensible path toward customer loyalty.

Purpose This paper aims to examine the unintended negative effect of incentivizing shoppers to make unplanned purchases through incentive reminders during shopping trips. Design/methodology/approach Two experimental studies with between-subject designs were conducted to examine the effect of incentive reminders and related factors on abandonment intention. Findings When the search for unplanned purchases needed to reach promotional threshold fails, shoppers’ propensity to abandon a transaction increases if they are reminded of an incentive during their shopping trip. When the size of the planned purchases is relatively larger than the incentivized unplanned purchases, abandonment propensity is higher in response to reward type incentives, whereas when the size of the planned purchases is relatively smaller than the incentivized unplanned purchases, abandonment propensity is higher in response to avoidance type incentives. Research limitations/implications This research intersects and integrates several research domains, specifically transaction abandonment, promotional reactance, unplanned purchases and promotion framing. Practical implications Findings from this research help managers understand the possible negative consequences of incentive reminders and offer suggestions for decreasing shopper propensities to abandon transactions in response to incentive reminders aimed at increasing transaction sizes. Originality/value This is the first study to highlight (i) the possible effect of incentive reminders on transaction abandonment; (ii) the influence of the size of unplanned purchases and incentive types on abandonment; and (iii) the underlying roles of perceived value of planned purchases and fairness perceptions in abandonment.