Barriers to the Adoption of Sharing-Based Accommodations: The Role of Personal Innovativeness and Compatibility DOI Creative Commons
Nguyễn Thành Long, Danh Xuan Luu, Nguyen Quoc Trung

et al.

SAGE Open, Journal Year: 2024, Volume and Issue: 14(4)

Published: Oct. 1, 2024

Sharing-based accommodations services are experiencing rapid global growth, driven by their inherent advantages. Nevertheless, alongside the benefits, these also accompanied costs and potential risks. Intriguingly, factors impeding or restricting consumer adoption of sharing-based have not been comprehensively investigated thus far. This study utilized innovation resistance theory (IRT) to investigate influence various barriers on intention use lodgings services. Additionally, this extended IRT examining impact personal characteristics (innovativeness compatibility) consumers’ perceived A quota sample included 493 individuals who were aware had traveled within past 6 months. Path analysis utilizing structural equation modeling was used test research hypotheses. The study’s findings demonstrated that several a detrimental individuals’ intentions engage in accommodation, except for image usage barriers. In addition, innovativeness compatibility negatively positively accommodations. Based findings, providers, businesses providing accommodations, localities tourism can design more effective strategies attract users.

Language: Английский

Gimmick or genuineness? Exploring the antecedents of AI virtual streamers aversion in live-streaming commerce DOI
Quan Xiao, Xia Li,

Weiling Huang

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123981 - 123981

Published: Jan. 16, 2025

Language: Английский

Citations

2
Decoding algorithm appreciation: Unveiling the impact of familiarity with algorithms, tasks, and algorithm performance DOI Creative Commons
Hasan Mahmud, A.K.M. Najmul Islam, Xin Luo

et al.

Decision Support Systems, Journal Year: 2024, Volume and Issue: 179, P. 114168 - 114168

Published: Jan. 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

Language: Английский

Citations

11
Does self-congruity matter for virtual influencer’s non-fungible token (NFT) purchase intentions? The role of financial literacy DOI
Rayenda Khresna Brahmana, Maria Kontesa

Information Technology and People, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 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.

Language: Английский

Citations

1
The Mediating Role of Attitude Towards the Technology in Shaping Artificial Intelligence Usage Among Professionals DOI Creative Commons
Md Mehedi Hasan Emon, Tahsina Khan

Telematics and Informatics Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100188 - 100188

Published: Feb. 1, 2025

Language: Английский

Citations

1
Role of behavioral intention in implementation of green information systems among Malaysians DOI Creative Commons
Sharmini Gopinathan, Segaran Veeraya, Murali Raman

et al.

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: Feb. 25, 2025

Language: Английский

Citations

1
Fighting fake news in the age of generative AI: Strategic insights from multi-stakeholder interactions DOI
Rui Ma, Xueqing Wang, Guo-Rui Yang

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 216, P. 124125 - 124125

Published: April 8, 2025

Language: Английский

Citations

1
Neobank adoption: integrating the information systems effectiveness framework with the innovation resistance model DOI
Puneett Bhatnagr, Anupama Rajesh, Richa Misra

et al.

Management Decision, Journal Year: 2024, Volume and Issue: unknown

Published: May 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

Language: Английский

Citations

6
Industry 4.0 DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan

et al.

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 342 - 405

Published: Jan. 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.

Language: Английский

Citations

5
Do managers trust AI? An exploratory research based on social comparison theory DOI
Cristian Rizzo, Giacomo Bagna, David Tuček

et al.

Management Decision, Journal Year: 2024, Volume and Issue: unknown

Published: July 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

Language: Английский

Citations

4
The moderating effect of internet of things and wearable technologies on enhancing safety management in construction sites DOI

Hisham Noori Hussain Al-Hashimy,

Jinfang Yao

Construction Innovation, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Purpose This study aims to investigate the moderating effects of internet things (IoT) and wearable technologies (WT) on relationship between traditional safety practices (TSP) management (SM) outcomes in Shanghai’s construction sector. It examines how these enhance performance by addressing limitations conventional approaches. Design/methodology/approach A survey 300 professionals, including project managers, site managers officers, was conducted Shanghai. Data analysis using partial least squares structural equation modelling (PLS-SEM) assessed IoT WT SM outcomes. Findings The results indicate that has a stronger effect ( ß = 0.21, p < 0.01) than 0.11, 0.07). offers immediate benefits through real-time worker monitoring, whereas enhances long-term enabling predictive analytics hazard detection. highlights synergy TSP improving Practical implications While both practices, their impacts differ. significantly improves safety, making it essential for high-risk zones, contributes risk mitigation data-driven insights. Construction should prioritise adoption improvements while integrating IoT-driven models sustained prevention. Originality/value provides empirical evidence complementary roles enhancing construction. valuable insights into digital transformation’s role performance.

Language: Английский

Citations

0