Drivers and Necessary Conditions for Chatbot Acceptance in the Insurance Industry. Analysis of policyholders’ and professionals’ Perspectives DOI Creative Commons
Jorge de Andrés Sánchez, Jaume Gené-Albesa

Journal of Organizational Computing and Electronic Commerce, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Dec. 3, 2024

The adoption of conversational robots (chatbots) for customer service is expanding across many industries. In the insurance sector, where interactions are essential to use policies, understanding chatbot acceptance particularly relevant. This study explores factors and conditions influencing chatbots policy management via unified theory technology (UTAUT) framework. analysis conducted on two groups: ordinary policyholders who also industry professionals. explanatory evaluated performance expectancy, effort social influence, trust. findings indicate that trust positively impact behavioral intention chatbots. Additionally, all variables found be necessary acceptance. structural equation model assessment reveals professional status do not moderate relationships between intention; however, professionals demonstrate a greater Among policyholders, expectancy has largest effect size For professionals, most impactful variables, with very large sizes. These results emphasize while acceptance, relative importance each variable varies offering insights implementing solutions effectively within sector.

Language: Английский

Technology Innovation and Social and Behavioral Commitment: A Case Study of Digital Transformation in the Moroccan Insurance Industry DOI Creative Commons
Soukaina Abdallah-Ou-Moussa, Martín Wynn, Omar Kharbouch

et al.

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(2), P. 31 - 31

Published: Feb. 5, 2025

Digital transformation (DT) has become an imperative for companies seeking to evolve in a constantly changing industrial ecosystem, driven by the continual development and application of innovative digital technologies. Nevertheless, success rate DT initiatives remains surprisingly low, which only serves highlight need deeper understanding factors that determine these initiatives. This study adopts quantitative methodological approach address this challenge, focusing on Moroccan insurance industry. First, systematic literature review was undertaken identify key change dimensions related influence acceptance, at both individual corporate levels, as well potential risks associated with adoption DT. A survey 100 employees Morocco then statistically establish companies. The research results reveal planned behavioral factors, features technologies, exert positive attitude toward acceptance Furthermore, positivity translates into greater personal new technologies within organizations studied. Although paper focuses one industry sector country, authors believe make valid contribution theory practice. findings indicate clear distinction between innovation social level, scarcely been addressed previous research. It also offers valuable insights leaders organizational managers succeed their projects highlighting determining effectively guide complex process.

Language: Английский

Citations

0
Artificial Intelligence and Digital Data in Recruitment. Exploring Business and Engineering Candidates’ Perceptions of Organizational Attractiveness DOI Creative Commons
Aizhan Tursunbayeva, Vicenç Fernández, Eva Gallardo-Gallardo

et al.

European Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Exploring the mediating roles of self-control, management, and meaningful learning self-awareness in the relationship between academic self-discipline and GAI acceptance DOI Creative Commons
Kıvanç Bozkuş, Özge Canoğulları

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

Citations

0
Fostering creativity-nurturing behaviors among nurse educators: Investigating the interplay between evidence-based practice climate and artificial intelligence competence self-efficacy DOI
Ahmed Abdelwahab Ibrahim El‐Sayed, Samira Ahmed Alsenany,

Raghad Saad Eid Almalki

et al.

Nurse Education Today, Journal Year: 2025, Volume and Issue: 151, P. 106734 - 106734

Published: April 6, 2025

Language: Английский

Citations

0
Effects of Generative Artificial Intelligence on K-12 and Higher Education Students’ Learning Outcomes: A Meta-Analysis DOI
Xiaohong Liu,

B. J. Guo,

Wei He

et al.

Journal of Educational Computing Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students’ learning outcomes remains controversial. This study aimed to examine the of GenAI K-12 and higher education students, explore moderating factors influencing this impact. A meta-analysis 49 articles showed that mean effect sizes achievement motivation were 0.857 0.803, respectively, indicating a positive education. However, varied according moderators, including level, subject classification, interface, development, interaction approaches, experimentation time, which enhanced Specifically, had greater academic performance students interacted more effectively with using text than mixed media, such as images or audio. Although novel motivation, size decreases over time. These findings provide empirical support beneficial effects offer insights optimizing use in teaching practices.

Language: Английский

Citations

0
Assessing the Influence of Technical Skills on the Growth of Small, Medium, and Micro Enterprises in Masvingo City, Zimbabwe DOI Creative Commons

Pamire Jongwe,

Solly Matshonisa Seeletse, Watson Ladzani

et al.

International Journal of Applied Research in Business and Management, Journal Year: 2024, Volume and Issue: 5(2)

Published: July 1, 2024

This study examines the role of technical skills in driving growth and sustainability Small, Medium, Micro Enterprises (SMMEs) Masvingo Province, Zimbabwe. Technical are recognized as cru-cial for enhancing business performance, fostering competitive ad-vantage, supporting long-term development. Using a quantitative approach, research surveyed **233 participants** across diverse sectors within SMME landscape region. The findings reveal polarized perspective: 50.21% participants agree that significantly contribute to growth, while 49.79% disagree, suggesting varied experiences perceptions among stakeholders. underscores importance targeted skill development strategic priority bolster resilience success SMMEs. It provides actionable recommendations policymakers, owners, educators address this critical gap by investing tech-nical training, aligning educational programs with market de-mands, supportive ecosystem enterprise develop-ment. By prioritizing skills, stakeholders can enhance ca-pacity SMMEs navigate challenges, seize opportunities, broader economic

Language: Английский

Citations

0
Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures DOI Creative Commons
Dong Lv, Rui Sun, Qiuhua Zhu

et al.

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 1032 - 1032

Published: Oct. 17, 2024

Background: With the rapid expansion of generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving quality interactions with systems. However, existing studies insufficiently explore role explanation stance attribution design interactions. Methods: This research, grounded mental models theory employing an improved version oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) functional connectivity analysis to reveal how task types explanations influence users’ unconscious processing mechanisms during service failures. Results: The results indicate that under explanations, ERSP Phase Locking Value (PLV) theta frequency band were significantly lower emotional failures than mechanical In case failures, PLV induced by intentional higher those explanations. Conclusions: study found profoundly affect AI, which determine their responses failure.

Language: Английский

Citations

0
Drivers and Necessary Conditions for Chatbot Acceptance in the Insurance Industry. Analysis of policyholders’ and professionals’ Perspectives DOI Creative Commons
Jorge de Andrés Sánchez, Jaume Gené-Albesa

Journal of Organizational Computing and Electronic Commerce, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Dec. 3, 2024

The adoption of conversational robots (chatbots) for customer service is expanding across many industries. In the insurance sector, where interactions are essential to use policies, understanding chatbot acceptance particularly relevant. This study explores factors and conditions influencing chatbots policy management via unified theory technology (UTAUT) framework. analysis conducted on two groups: ordinary policyholders who also industry professionals. explanatory evaluated performance expectancy, effort social influence, trust. findings indicate that trust positively impact behavioral intention chatbots. Additionally, all variables found be necessary acceptance. structural equation model assessment reveals professional status do not moderate relationships between intention; however, professionals demonstrate a greater Among policyholders, expectancy has largest effect size For professionals, most impactful variables, with very large sizes. These results emphasize while acceptance, relative importance each variable varies offering insights implementing solutions effectively within sector.

Language: Английский

Citations

0