Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance

Decision Support Systems, Год журнала: 2024, Номер 179, С. 114168 - 114168

Опубликована: Янв. 2, 2024

Algorithm appreciation, defined as an individual's reliance or tendency to rely on algorithms in decision-making, has emerged a subject of growing scholarly interest. Inquiries into this are crucial understanding human decision-making processes the era artificial intelligence, increasingly being integrated decision-making. To contribute evolving field, study examines three factors that might play significant roles enhancing trust algorithms: familiarity with algorithms, tasks, and algorithm performance. Drawing upon prior studies, conceptual model was developed empirically tested using scenario study. Data 327 individuals showed strong positive association between algorithms. In contrast, task appeared have no influence trust. Trust, turn, identified key driver appreciation. The also revealed moderating role performance relationship Post hoc analysis highlighted fully mediates underscores significance transparency shaping contributes theoretically by offering important insights about influences different forms practically prescribing practical guidelines enhance

Язык: Английский

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Gimmick or genuineness? Exploring the antecedents of AI virtual streamers aversion in live-streaming commerce

Technological Forecasting and Social Change, Год журнала: 2025, Номер 212, С. 123981 - 123981

Опубликована: Янв. 16, 2025

Язык: Английский

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The Mediating Role of Attitude Towards the Technology in Shaping Artificial Intelligence Usage Among Professionals

Telematics and Informatics Reports, Год журнала: 2025, Номер unknown, С. 100188 - 100188

Опубликована: Фев. 1, 2025

Язык: Английский

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Does self-congruity matter for virtual influencer’s non-fungible token (NFT) purchase intentions? The role of financial literacy

Information Technology and People, Год журнала: 2025, Номер unknown

Опубликована: Янв. 11, 2025

Purpose This research aims to examine how financial literacy moderates the mediation of attitude toward virtual influencers’ non-fungible tokens (NFTs) or ATB on relationship between purchase intention and self-congruity, which includes symbolic representation, self-image congruence emotional value. Initially, we investigated effect self-congruity intention. Subsequently, analyze this process. Design/methodology/approach The study employed a sample 383 fans applied partial least square structural equation model (PLS-SEM) along with robustness tests test hypothesis. analysis is based moderated framework. Findings findings are intriguing for several reasons. First, it reveals that only positively affects intention, contrary existing theory literature. direct no ATB. Second, fails mediate Third, has negative indicating influencers higher less likely NFTs due more critical investment evaluations. We also argue discards consumption behavior from variables Research limitations/implications contributes literature by emphasizing significance under It surmises does matter influencer’s NFT. However, further could validate studying broader NFT investors, incorporating fandom impulse buying examining actual purchases against planned behavior. Practical implications crucial creators, marketers providing insights evaluating creators’ decision pursue markets. reveal creators should reconsider pursuing market, as may not be driving factor. Notably, our imply significantly different influencer's merchandising business. Originality/value originality lies in extending within context, investigating self-congruity-purchase relationship. challenges showing despite feeling aligned influencers, high reduces congruence.

Язык: Английский

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Role of behavioral intention in implementation of green information systems among Malaysians

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Фев. 25, 2025

Язык: Английский

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Fighting fake news in the age of generative AI: Strategic insights from multi-stakeholder interactions

Technological Forecasting and Social Change, Год журнала: 2025, Номер 216, С. 124125 - 124125

Опубликована: Апрель 8, 2025

Язык: Английский

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Neobank adoption: integrating the information systems effectiveness framework with the innovation resistance model

Management Decision, Год журнала: 2024, Номер unknown

Опубликована: Май 17, 2024

Purpose This study aims to integrate Delone and McLean’s information system success (DMISS) model with the innovation resistance evaluate relationship between behavioural intention use (BIU) in context of neo-banking. The primary objective this is identify drivers neo-banking adoption barriers its incorporate constructs such as e-trust (ETR) personal innovativeness (PIV) provide a more comprehensive understanding factors influencing adoption. Design/methodology/approach A structured survey-based questionnaire was used gather data from diverse sample population India. Partial Least Squares Structural Equation Modeling (PLS-SEM) employed further examine neobanking services users' services. Findings reveals significant correlation BIU uptake services, demonstrating value consumers' readiness embrace these offerings. However, usage has emerged major obstacle for consumers concerned about security, technology reluctance perceived risks associated digital-only neobanks. Research limitations/implications Analysing driving restraining will substantial on formation decision-making processes Indian banking industry, which undergoing rapid digital transformation. great importance scholars, practitioners policymakers, it highlights that may facilitate or impede outcomes analysis be particular interest researchers, experts stakeholders field they valuable insights into dynamics consumer behaviour sector. Originality/value represents an initial effort BIUs within rapidly developing sector findings build existing research area contribute ongoing discussion

Язык: Английский

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Industry 4.0

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 342 - 405

Опубликована: Янв. 19, 2024

The advent of Industry 4.0, characterized by the integration digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves future trends research directions that will shape landscape 4.0 coming years. One prominent trend is continued proliferation internet things (IoT) its convergence with artificial intelligence (AI). As IoT devices become more interconnected intelligent, they enable real-time data analysis, predictive maintenance, adaptive manufacturing, fostering increased efficiency cost-effectiveness across industries. Moreover, rise edge computing set to redefine processing analytics. deployment powerful resources closer source promises reduced latency enhanced decision-making capabilities, particularly critical applications like autonomous remote robotics.

Язык: Английский

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Do managers trust AI? An exploratory research based on social comparison theory

Management Decision, Год журнала: 2024, Номер unknown

Опубликована: Июль 18, 2024

Purpose The purpose of this study is to investigate managers’ decision-making processes when evaluating suggestions provided by human collaborators or artificial intelligence (AI) systems. We employed the framework Social Comparison Theory (SCT) in business context examine influence varying social comparison orientation levels on willingness accept advice their organization. Design/methodology/approach A survey was conducted a sample 192 US managers, which we carried out an experiment manipulating source type (human vs AI) and assessing potential moderating role orientation. Results were analyzed using moderation model Hayes (2013). Findings Despite growing consideration gained AI systems, results showed discernible preference for human-generated over those originating from Artificial Intelligence sources. Moreover, analysis indicated how low may lead managers be more willing AI. Research limitations/implications This contributes current understanding interplay between managerial decision-making. Based preliminary that used scenario-based experiment, future research could try expand these findings examining behavior natural field experiments, multiple case studies. Originality/value among first studies adoption organizational context, showing evade peers other experts, thereby illuminating individual factors affecting

Язык: Английский

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From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems

Frontiers in Artificial Intelligence, Год журнала: 2024, Номер 7

Опубликована: Март 21, 2024

Introduction The rise of Artificial Intelligence (AI), particularly machine learning, has brought a significant transformation in decision-making (DM) processes within organizations, with AI gradually assuming responsibilities that were traditionally performed by humans. However, as shown recent findings, the acceptance AI-based solutions DM remains concern individuals still strongly prefer human intervention. This resistance can be attributed to psychological factors and other trust-related issues. To address these challenges, studies show practical guidelines for user-centered design are needed promote justified trust systems. Methods results this aim, our study bridges Service Design Thinking third generation Activity Theory create model which serves set user centered Multi-Actor DSS. is created through qualitative activity unit analysis. Nevertheless, it holds potential further enhancement application quantitative methods explore its diverse dimensions more extensively. As an illustrative example, we used case field capital investments, particular focus on organizational development, involves managers, professionals, coaches actors. result, methodology employed characterized “pre-quantitative” investigation. Discussion framework aims at locating contribution complex identifying role data it.

Язык: Английский

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