Technovation, Год журнала: 2025, Номер 143, С. 103191 - 103191
Опубликована: Март 15, 2025
Язык: Английский
Environmental Technology & Innovation, Год журнала: 2023, Номер 33, С. 103509 - 103509
Опубликована: Дек. 29, 2023
Nowadays the pace of production and consumption is reaching environmentally unsustainable levels. In this regard, great technological advances developed in recent years are postulated as a source opportunities to boost circular economy sustainable development. This wide range possibilities offered by new technologies create more reality has aroused curiosity interest academic world, especially years. The main objective research reveal challenges that arise when incorporating objectives economy. Regarding methodology, study been partially supported using bibliometric techniques. results highlight transformative role technologies, blockchain artificial intelligence, advancing economy, with particular emphasis on community technology integration, ethical considerations, synergies, business models, burgeoning bioeconomy. We conclude promise enhanced resource efficiency, optimized supply chains, innovative improved product lifecycle management, offering profound economic environmental benefits while fostering collaborative innovation. However, these also represent address, such integrating advanced methods, ensuring chain transparency, overcoming skill gap, avoiding data centralization, adapting regulatory frameworks foster equitable growth. These some most important areas for further research, those related development employees' capabilities adaptation frameworks, they understudied gaps.
Язык: Английский
Процитировано
78
Resources Policy, Год журнала: 2024, Номер 91, С. 104912 - 104912
Опубликована: Март 13, 2024
Язык: Английский
Процитировано
28
Technovation, Год журнала: 2024, Номер 133, С. 103021 - 103021
Опубликована: Апрель 23, 2024
Generative Artificial Intelligence (GenAI) is one of the popular AI technologies which can produce multiple kinds contents including music, text, image, as well synthetic data. As GenAI technology various forms contents, organizations must face ethical dilemmas to where this likely be used. Organizations do not want compromise their standards and compliance policies. Against backdrop, aim study examine if could improve future performance organizations. This deployed environmental dynamism two moderators acting on different linkages between adoption organizational performance. With help literature review theories, a theoretical model has been developed conceptually was validated using PLS-SEM technique with feedback 326 responses from types found that exploratory exploitative innovation under moderating effects dilemmas. Moreover, it highlighted application
Язык: Английский
Процитировано
19
Journal of Modelling in Management, Год журнала: 2024, Номер unknown
Опубликована: Июль 18, 2024
Purpose Financial firms are looking for better ways to harness the power of data analytics improve their decision quality in financial modeling era. This study aims explore key factors influencing big analytics-driven which has been given scant attention relevant literature. Design/methodology/approach The authors empirically examined interrelations between five including technology capability, information quality, data-driven insights and drawing on quantitative collected from Jordanian using a cross-sectional questionnaire survey. Findings SmartPLS analysis outcomes revealed that both capability have positive direct influence without any quality. findings also point importance high-quality decisions. Originality/value first time enriches knowledge literature by exploring critical affecting context.
Язык: Английский
Процитировано
18
SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into financial decision-making, prompting concerns about the transparency and accountability of these intricate systems. This study investigates impact Explainable (XAI) approaches alleviating improving decision-making processes. The paper commences by outlining current landscape AI applications finance, underscoring complex opaque nature advanced machine learning models. lack interpretability models presents significant challenge, as stakeholders, regulators, end-users often struggle to comprehend reasoning behind AI-driven decisions. opacity raises questions regarding trust, particularly critical scenarios. primary focus research centers on analysis implementation XAI techniques introduce Various methods, including rule-based systems, model-agnostic approaches, interpretable models, are scrutinized for their effectiveness producing understandable explanations explores how can be tailored meet distinct requirements domain, where is essential regulatory compliance stakeholder confidence. Moreover, delves potential mechanisms within institutions. By offering model outputs, not only enhances but also empowers professionals identify rectify biases, errors, or unethical behaviour algorithms. promoting accountability, addresses ethical facilitates responsible trustworthy deployment sector. This, turn, contributes advancement fair, reliable, secure
Язык: Английский
Процитировано
25
Technology in Society, Год журнала: 2024, Номер 78, С. 102662 - 102662
Опубликована: Июль 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.
Язык: Английский
Процитировано
14
Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 81, С. 103997 - 103997
Опубликована: Авг. 1, 2024
Язык: Английский
Процитировано
10
Journal of Computers in Education, Год журнала: 2024, Номер unknown
Опубликована: Авг. 27, 2024
Язык: Английский
Процитировано
10
Technology in Society, Год журнала: 2024, Номер 78, С. 102656 - 102656
Опубликована: Июль 10, 2024
Язык: Английский
Процитировано
7
Socio-Economic Planning Sciences, Год журнала: 2024, Номер unknown, С. 102124 - 102124
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
6