Unravelling the knowledge matrix: exploring knowledge-sharing behaviours on market-based platforms using regression tree analysis DOI
Yingnan Shi, Chao Ma

Personnel Review, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 9, 2024

Purpose This study aims to enhance the effectiveness of knowledge markets and overall management (KM) practices within organisations. By addressing challenge internal stickiness, it seeks demonstrate how machine learning AI approaches, specifically a text-based method for personality assessment regression trees behavioural analysis, can automate personalise market incentivisation mechanisms. Design/methodology/approach The research employs novel approach by integrating methodologies overcome limitations traditional statistical methods. A natural language processing (NLP)-based tool is used assess employees’ personalities, tree analysis applied predict categorise patterns in knowledge-sharing contexts. designed capture complex interplay between individual traits environmental factors, which methods often fail adequately address. Findings Cognitive style was confirmed as key predictor knowledge-sharing, with extrinsic motivators outweighing intrinsic ones market-based platforms. These findings underscore significance diverse combinations factors promoting sharing, offering insights that inform automatic design personalised interventions community managers such Originality/value stands out first empirically explore interaction environment shaping actual behaviours, using advanced methodologies. increased automation process extends practical contribution this study, enabling more efficient, automated process, thus making critical theoretical advancements understanding enhancing behaviours.

Language: Английский

ChatGPT adoption and anxiety: a cross-country analysis utilising the unified theory of acceptance and use of technology (UTAUT) DOI Creative Commons
Tribikram Budhathoki, Araz Zirar, Eric Tchouamou Njoya

et al.

Studies in Higher Education, Journal Year: 2024, Volume and Issue: 49(5), P. 831 - 846

Published: March 27, 2024

The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use language models higher education. However, little research has empirically investigated intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory Acceptance Use Technology (UTAUT) with an additional construct- anxiety, investigate university adoption two education contexts– UK Nepal. 239 226 questionnaires were deemed sufficient for data analysis Nepal UK, respectively. We utilised structural equation modelling technique test hypotheses. Our results reveal that performance expectancy, effort expectancy social influence significantly impacted both countries. anxiety's impact varied between UK. Integrating UTAUT cross-country comparative approach provides insights into how ChatGPT's reception diverges different contexts. also have implications technology companies aiming expand models' availability worldwide.

Language: Английский

Citations

42
Integrating generative artificial intelligence in K-12 education: Examining teachers’ preparedness, practices, and barriers DOI Creative Commons
Yin Hong Cheah, Jingru Lu, Juhee Kim

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100363 - 100363

Published: Jan. 1, 2025

Language: Английский

Citations

3
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research DOI Creative Commons
Veda C. Storey, Wei Thoo Yue, J. Leon Zhao

et al.

Information Systems Frontiers, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Language: Английский

Citations

2
Integrating Industry 4.0 and 5.0 Innovations for Enhanced Energy Management Systems DOI Creative Commons
Vito Introna, Annalisa Santolamazza,

Vittorio Cesarotti

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(5), P. 1222 - 1222

Published: March 4, 2024

Industry 4.0 and 5.0 have introduced a lot of innovative technologies in industrial plants, transforming them into complex digital systems. On the other hand, importance Energy Management Systems plants is growing for both sustainability economic reasons, but opportunity 4.0/5.0 enhancing energy management systems not fully understood. Thus, this paper analyzes how can be applied to meet requirements Systems, focusing on each aspect such as design, monitoring, control, budget planning. It identifies additional opportunities that arise with different levels technological implementation, suggesting organic implementation steps. The final aim provide comprehensive framework fostering strategic conscious approach these tools giving clear suggestions.

Language: Английский

Citations

11
From Compliance to Capability: On the Role of Data and Technology in Environment, Social, and Governance DOI Open Access
Sam Solaimani

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6061 - 6061

Published: July 16, 2024

The importance of Environment, Social, and Governance (ESG) considerations for businesses has evolved from compliance to a strategic imperative. This shift is driven by increased investor scrutiny, reputation brand value impact, talent attraction, innovation stimulation, community relations, global regulatory requirements. At the same time, ESG regulations policies, related technological landscape, market trends are continuously changing. It is, therefore no longer tenable firms stick minimalistic approach box-ticking ‘compliance’; instead, it becoming increasingly critical develop ‘capabilities’ that help seamlessly proactively adapt themselves changing environment even turning into new (strategic) opportunities rather than reluctantly reacting change, being operationally organizationally overwhelmed, disrupted, often with inadequate response poor adoption as result. Many studies show data technology can be powerful enablers such capability. evidence however, unstructured dispersed. In response, this study consolidates existing research presents comprehensive conceptual framework, bridging fragmented landscape literature. offers practical guidance firms, helping them lay holistic foundations advance toward higher maturity levels in their

Language: Английский

Citations

5
How the Human-Like Characteristics of AI Assistants Affect Employee Creativity: A Social Network Ties Perspective DOI
Xin Zhang, Peng Yu, Liang Ma

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: July 19, 2024

Language: Английский

Citations

5
Harnessing the Potential of Artificial Intelligence: Affordances, Constraints, and Strategic Implications for Professional Services DOI Creative Commons
Jiaqi Yang, Alireza Amrollahi, Mauricio Marrone

et al.

The Journal of Strategic Information Systems, Journal Year: 2024, Volume and Issue: 33(4), P. 101864 - 101864

Published: Sept. 23, 2024

Language: Английский

Citations

4
Unfolding the Potential of Generative Artificial Intelligence DOI Open Access
Severin Bonnet, Frank Teuteberg

International Journal of Knowledge Management, Journal Year: 2025, Volume and Issue: 21(1), P. 1 - 25

Published: Feb. 1, 2025

Scholars are increasingly using generative artificial intelligence (AI) chatbots, like ChatGPT, in research, though concerns remain about ethics, data privacy, bias, and intellectual property. This study adopts a design science research approach to explore how AI chatbots can support academic teaching bridging theory practice. A literature review expert interviews identified key requirements principles that virtues such as uniqueness, generalizability, reproducibility. We also introduce prototype, “AcademiaBot,” demonstrate these action. Our findings suggest significantly aid scholarly work if users informed ethical addressed. Responsible usage help augment human efforts without compromising integrity. provides valuable knowledge, ensuring AI-based beneficial tool for scholars.

Language: Английский

Citations

0
Investor Reactions to Generative AI Usage in MD&A Disclosures DOI
Benedikt J. Plate, Johannes Voshaar, Jochen Zimmermann

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Effect of Generative Artificial Intelligence on Strategic Decision Making in Entrepreneurial Business Initiatives: A Systematic Literature Review DOI Creative Commons
Óscar López, Héctor Alberto Luzuríaga Jaramillo, Mayra Bedoya Jara

et al.

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 66 - 66

Published: Feb. 18, 2025

Generative Artificial Intelligence (GAI) emerges as a promising tool to improve strategic decision-making in business environment characterized by increasing complexity. There are external and internal factors that part of the success entrepreneurial initiatives. A relevant factor is technological an innovation make decision making effective. The study reviews existing literature on implementing GAI decision-making. It assesses its short-, medium- long-term effects, considering interaction between human judgment. Challenges related uncertainty, complexity, ambiguity examined, reviewed understand these aspects comprehensively. review shows that, despite advanced capabilities analyze data generate patterns, judgment remains crucial situations high uncertainty. results suggest combining with expertise can accuracy efficiency integrating strengths both parties. implementation offer significant improvements decisions. However, experience remain essential, especially uncertain contexts. key maximizing benefits lies finding right balance artificial intelligence capital.

Language: Английский

Citations

0