Published: May 9, 2024
Language: Английский
Technology in Society, Journal Year: 2024, Volume and Issue: 78, P. 102662 - 102662
Published: July 17, 2024
This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into decision-making processes within organizations, employing a quasi-experimental pretest-posttest design. The study examines synergistic interaction between Human (HI) and GAI across four group scenarios three global organizations renowned for their cutting-edge operational techniques. research progresses through several phases: identifying problems, collecting baseline data on decision-making, implementing AI interventions, evaluating outcomes post-intervention to identify shifts in performance. results demonstrate that effectively reduces human cognitive burdens mitigates heuristic biases by offering data-driven support predictive analytics, grounded System 2 reasoning. is particularly valuable complex situations characterized unfamiliarity information overload, where intuitive, 1 thinking less effective. However, also uncovers challenges related integration, such as potential over-reliance technology, intrinsic 'out-of-the-box' without contextual creativity. To address these issues, this proposes an innovative strategic framework HI-GAI collaboration emphasizes transparency, accountability, inclusiveness.
Language: Английский
Citations
23
Energy Sustainable Development/Energy for sustainable development, Journal Year: 2025, Volume and Issue: 85, P. 101663 - 101663
Published: Feb. 8, 2025
Language: Английский
Citations
2
Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2688 - 2688
Published: March 25, 2024
The aim of this research was to investigate factors that influence logistics firms’ supply chain agility and resilience. Therefore, an integrated model based on strategic human resource management artificial intelligence developed determine the resilience firms. Empirical data were collected from 221 employees working in manufacturing firms Saudi Arabia. For analysis, a structural equation modeling approach used. results indicated joint leadership, employee skills, organizational culture, competitive intensity, capital development, had substantial explained variance R2 80% for agility. Similarly, importance performance analysis revealed that, within agility, flexibility greater determining Practically, shows like are positively associated with and, hence, require policymakers’ attention. value lies its integration intelligence, flexibility, explore examination impact these
Language: Английский
Citations
9
Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)
Published: Oct. 24, 2024
In the evolving global business environment, corporate social responsibility (CSR) has transitioned from being a philanthropic effort to critical strategic necessity, particularly within Asian economies. Despite increasing importance of CSR, literature examining its application and impact in Asia remains both sparse fragmented. This study addresses this gap by conducting systematic review (SLR) 79 scholarly articles, adhering PRISMA guidelines, ensure comprehensive replicable analysis CSR practices entities. The uncovers key themes related integration into governance structures, including emphasis on renewable energy, ethical conduct, employee engagement, data privacy, while highlighting distinct challenges opportunities faced companies given their unique cultural, social, regulatory landscapes. findings indicate that although firms are increasingly incorporating strategies, there is significant need for more robust evaluation frameworks, concerning biodiversity, deforestation, collaboration with conservation organizations. Looking ahead, emphasizes prioritizing energy as environmental focus across Asia, especially region's rapid urbanization industrial growth. transition sources not only vital mitigating impacts combating climate change but also presents long-term economic benefits. Additionally, identifies substantial growth digital adoption various sectors underscoring stronger cybersecurity measures protect emerging infrastructures. Culturally socially, many countries show natural inclination towards sustainability, which can be leveraged foster greater acceptance at grassroots level. Furthermore, advocates enhanced scale facilitate knowledge transfer, share best practices, achieve economies projects. Such joint efforts could accelerate sustainable help overcome technology, finance, policymaking. These insights essential scholars practitioners aiming align sustainability goals, thereby fostering responsible behaviour diverse Asia.
Language: Английский
Citations
4
International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14
Published: Jan. 24, 2025
Language: Английский
Citations
0
Enterprise Information Systems, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 5, 2025
Language: Английский
Citations
0
Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 683 - 683
Published: Feb. 14, 2025
Sustainability in food supply chains is a critical global challenge, particularly resource-constrained regions like Jordan, where operational inefficiencies and environmental concerns are prevalent. This study explores the integration of blockchain artificial intelligence (AI) technologies to enhance metadata management, forecast sustainability metrics, support decision-making Jordan’s chains. Blockchain's ability improve accuracy, standardization, traceability, combined with AI’s predictive capabilities, offers powerful solution for addressing challenges.MethodsThe research employed mixed-methods approach, combining real-time data from transaction logs, AI-generated forecasts, stakeholder surveys. Blockchain platforms Hyperledger Fabric Ethereum provided insights into accuracy traceability. AI models were developed using machine learning techniques, such as linear regression, waste reduction, carbon footprint energy efficiency. Multi-Criteria Decision Analysis (MCDA), AHP TOPSIS, was applied evaluate trade-offs among goals.ResultsThe results revealed significant improvements (from 83% 96.66%) reductions traceability time 4.0 2.35 hours) following implementation. demonstrated high explaining 88%, 81%, 76% variance efficiency, respectively. ConclusionThis underscores transformative potential achieving goals. By fostering transparency, insights, data-driven decision-making, these innovations can address key challenges chains, offering actionable strategies stakeholders.
Language: Английский
Citations
0
Industrial Management & Data Systems, Journal Year: 2025, Volume and Issue: unknown
Published: March 20, 2025
Purpose On-site industrialized construction (OIC) represents a significant innovation direction for the industrial transformation of industry. However, compared to prefabricated (PC) technology, OIC technology has not received sufficient attention. In particular, lack mechanisms adoption significantly hindered and diffusion this technology. This paper aims address gap by identifying drivers barriers exploring logical relationships among these influencing factors. Design/methodology/approach Therefore, study analyze factors adoption, focusing on both barriers, promote its companies. Partial least squares structural equation modeling (PLS-SEM) is employed validate significance factors, while interpretive (ISM) utilized explore interrelationships supported PLS-SEM. Findings The results PLS-SEM show that relative advantage, regulatory support, top management organizational readiness market demand positively influence intention, perceived risk, complexity cost have negative impact. Additionally, root driver identified ISM analysis labor shortage, barrier comprehension presents challenges. It noteworthy derived from demand, but low path coefficient in indicates limited direct effects. suggests influences intention driving other mediating which still require Originality/value elucidates supplementing knowledge base domains (IC) engineering technological innovation. it offers valuable insights companies actively engaged industrialization reform, facilitating effective promotion
Language: Английский
Citations
0
Journal of Research in Interactive Marketing, Journal Year: 2025, Volume and Issue: unknown
Published: April 16, 2025
Purpose This study aims to explore how the integration of visual storytelling and textual elements within edutainment content drives recursive, emotionally grounded consumer engagement in interactive marketing environments. It challenges linear models journey by emphasizing cyclical, meaning-making processes shaped visual-symbolic narrative cues. Design/methodology/approach Using a multimodal artificial intelligence (AI)-assisted analytical approach, this draws on natural language processing computer vision analyze over 10,000 social media posts from leading educational brands. identifies underlying mechanisms examining themes expressions interact influence behavior across different stages experience. Findings Visual themes, especially those featuring human or elements, trigger early-stage attention, while resonant anchors deeper involvement. co-activation supports recursive model, where consumers continuously reinterpret contribute brand narratives through micro-actions user-generated content. Engagement becomes dynamic, participatory loop rather than discrete outcome. Research limitations/implications Future research could emotional cognitive diverse groups. Additionally, investigating long-term impact loyalty will be valuable for further advancing theory. Practical implications For practitioners marketing, underscores importance using visually compelling craft personalized that resonates with consumers. By integrating both dimensions into strategies, brands can enhance engagement. Furthermore, incorporating features, such as real-time feedback loops, is crucial fostering involvement strengthening loyalty. Social The growing via presents opportunities create more meaningful fosters learning. aligning consumers’ values, societal change, advocating environmental causes enhancing public awareness participation. Originality/value reframes psychologically layered dialogic process, offering new theoretical insight symbolic affective mechanics edutainment. provides data-driven foundation designing strategies foster resonance relationships. demonstrating AI tools decode optimize engagement, contributes conceptual advancement methodological innovation field.
Language: Английский
Citations
0
International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 35
Published: Nov. 6, 2024
This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework designed to revolutionise service-oriented (In context this paper, 'service-oriented' refers design and execution processes that are specifically tailored meet dynamic varied needs service-manufacturing industries. approach emphasises adaptability, customer-centric scheduling, efficient allocation resources enhance product service delivery.) by integrating theory constraints (TOC) (see APPENDIX I) with cutting-edge Artificial Intelligence (AI) technologies. TAIS extends traditional five steps TOC introducing three additional layers efficiency, applicability in environments. incorporates continuous monitoring adjustment mechanisms across all improve ensuring real-time responsiveness challenges. To integrates lifecycle management governance into core framework, which helps throughout process. Lastly, includes robust security compliance measures bolster applicability. By leveraging AI, offers a predictive, flexible, scalable solution capable addressing complexities rapid changes inherent tasks providing significant leap forward operations management.
Language: Английский
Citations
3