Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach

Business Strategy and the Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors

Язык: Английский

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Non-Hierarchic Leadership Collaboration: Exploring the Adoption of AI-Driven Social Networking for Addressing Social Challenges in an Extra-Organizational Environment

Technology in Society, Год журнала: 2025, Номер unknown, С. 102809 - 102809

Опубликована: Янв. 1, 2025

Язык: Английский

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Critical success and failure factors in the AI lifecycle: a knowledge graph-based ontological study

Journal of Modelling in Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Purpose The purpose of this study is to provide a holistic understanding the factors that either promote or hinder adoption artificial intelligence (AI) in supply chain management (SCM) and operations (OM). By segmenting AI lifecycle examining interactions between critical success failure factors, aims offer predictive insights can help proactively managing these ultimately reducing risk failure, facilitating smoother transition into AI-enabled SCM OM. Design/methodology/approach This develops knowledge graph model lifecycle, divided pre-development, deployment post-development stages. methodology combines comprehensive literature review for ontology extraction expert surveys establish relationships among ontologies. Using exploratory factor analysis, composite reliability average variance extracted ensures validity constructed dimensions. Pearson correlation analysis applied quantify strength significance entities, providing metrics labeling edges resource description framework. Findings identifies 11 dimensions integration OM: (1) setting clear goals standards; (2) ensuring accountable with leadership-driven strategies; (3) activating leadership bridge expertise gaps; (4) gaining competitive edge through partnerships advanced IT infrastructure; (5) improving data quality customer demand; (6) overcoming resistance via awareness benefits; (7) linking domain infrastructure robustness; (8) enhancing stakeholder engagement effective communication; (9) strengthening robustness change training governance; (10) using key performance indicators-driven reviews management; (11) accountability copyright integrity governance. Originality/value enhances decision-making by developing segments stages, introducing novel approach OM research. incorporating element uses graphs anticipate outcomes from These assist practitioners making informed decisions about use, overall

Язык: Английский

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How does AI affect the self-actualization of content creators in dynamic environments? A knowledge management perspective

Technology in Society, Год журнала: 2025, Номер unknown, С. 102855 - 102855

Опубликована: Фев. 1, 2025

Язык: Английский

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A new innovative metaverse ecosystem: VR-based human interaction enhances EFL learners’ transferable skills

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

Опубликована: Март 4, 2025

Язык: Английский

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Chatbots for Leadership Support

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 127 - 154

Опубликована: Фев. 28, 2025

This chapter addresses the rising use of chatbots in leadership, notably their utility assisting decision-making and advising roles. As artificial intelligence (AI) continues to permeate organizational systems, are emerging as key tools streamlining leadership responsibilities delivering real-time support. The digs into methods by which aid leaders complex processes, analytical insights recommendations based on data-driven techniques. Moreover, role is investigated, demonstrating how these AI systems increase capacities giving continual feedback, resource allocation techniques, problem-solving By integrating frameworks, companies, particularly educational contexts, can boost efficiency develop more dynamic structures. finishes analyzing technological constraints potential future developments administration.

Язык: Английский

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Leveraging Large Language Models for Usability Testing: a Preliminary Study

Опубликована: Март 18, 2025

Язык: Английский

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Generative artificial intelligence in tourism management: An integrative review and roadmap for future research

Tourism Management, Год журнала: 2025, Номер 110, С. 105179 - 105179

Опубликована: Март 31, 2025

Язык: Английский

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Determining Essential Indicators for Feasibility Assessment of Using Initiative Green Building Methods in Revitalization of Worn-Out Urban Fabrics

Sustainability, Год журнала: 2025, Номер 17(8), С. 3389 - 3389

Опубликована: Апрель 10, 2025

Purpose—The reconstruction of worn-out urban fabrics poses a significant challenge in sustainable development, as such places, due to their decay and infrastructural inefficiencies, diminish residents’ quality life generate many environmental, social, economic issues. Meanwhile, green building techniques have emerged novel option because they focus on environmental sustainability resource efficiency. Nonetheless, effectively executing these strategies necessitates thorough feasibility evaluation identify the associated obstacles implementation prerequisites. The current study aimed critical indicators for employing contemporary repair Iran. revitalization is essential enhancing inhabitants. Regarding this matter, concept buildings, which emphasizes sustainability, deserves attention. assessments can help successfully implement changes fabrics. Accordingly, seeks determine assessment using initiative methods fabric. Design/methodology/approach—In vein, two rounds Delphi survey technique were carried out consolidate fabric A research questionnaire was developed after reviewing literature. It consists four main dimensions (i.e., cultural–social, management–legal, technical–technological) containing total 26 distinct indicators. distributed among 123 experienced specialists. Eventually, collected data analyzed SPSS Smart PLS programs. Findings—The results revealed that identified be considered indices evaluating use Furthermore, sequence importance followed by technical technological, cultural managerial legal. environment, with an average rating 3.33, ranked first; technical–technology, 2.45, second; 2.15, third; 2.07, fourth. indicators, utilization natural plants source inspiration living design communal areas, at toxin absorption gas mitigation while achieving thermal equilibrium, received highest 18.22, securing first position. Conversely, indicator assessing financial capacity, establishment executive assurances governmental support neighborhoods’ garnered lowest 10.98, placing it 26th final. Originality/value—This research’s findings significantly influence public policy planning initiatives, aiding Iran offering systematic framework viability innovative techniques.

Язык: Английский

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Entre Neuronas y Algoritmos: El Nuevo Horizonte de la Creatividad

Estudios y Perspectivas Revista Científica y Académica, Год журнала: 2025, Номер 5(1), С. 2252 - 2271

Опубликована: Март 19, 2025

La interacción entre la creatividad humana y inteligencia artificial (IA) en el contexto de propiedad intelectual, abre debate para entender si capacidad crear es exclusiva los humanos o las máquinas también pueden ser consideradas creativas. Los procesos cognitivos son facultades del humano se realiza a través operaciones mentales que nos permiten adquirir, procesar, almacenar utilizar información entorno manera natural responder forma creativa, mientras autoencoders redes neuronales artificiales (RNA) modelos computacionales inspirados estructura funcionamiento cerebro humano, extraen estímulos complejos codificación decodificación digital construir sus obras. plantea desafíos significativos temas dado no reconocen como Por ello, objetivo este estudio reconocer similitudes naturales al igual regulación creatividad. consiguiente, mediante revisión sistemática exhaustiva con modelo PRISMA incluyeron 12 estudios cumplieron criterios inclusión exclusión. Se concluyó decisiones regulatorias serán cruciales asegurar un ecosistema creativo sostenible donde funcione instrumento potenciador vez elemento revolucionario desdibuje fronteras autoría originalidad.

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