IDEAS home Printed from https://ideas.repec.org/r/eee/jbrese/v123y2021icp588-603.html

Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. O. C. Ferrell & Dana E. Harrison & Linda K. Ferrell & Haya Ajjan & Bryan W. Hochstein, 2024. "A theoretical framework to guide AI ethical decision making," AMS Review, Springer;Academy of Marketing Science, vol. 14(1), pages 53-67, June.
  2. Mostafa Bigdeli & Mahsa Akbari, 2024. "Machine-learning-based Classification of Customers’ Behavioural Model in Instagram," Paradigm, , vol. 28(2), pages 223-240, December.
  3. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
  4. Brea, Edgar & Ford, Jerad A., 2023. "No silver bullet: Cognitive technology does not lead to novelty in all firms," Technovation, Elsevier, vol. 122(C).
  5. Juite Wang & Tzu-Yen Hsu, 2023. "Early discovery of emerging multi-technology convergence for analyzing technology opportunities from patent data: the case of smart health," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4167-4196, August.
  6. Antoine Harfouche & Bernard Quinio & Mario Saba & Peter Bou Saba, 2023. "The Recursive Theory of Knowledge Augmentation: Integrating human intuition and knowledge in Artificial Intelligence to augment organizational knowledge," Information Systems Frontiers, Springer, vol. 25(1), pages 55-70, February.
  7. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
  8. Oliveira, Fabio & Kakabadse, Nada & Khan, Nadeem, 2022. "Board engagement with digital technologies: A resource dependence framework," Journal of Business Research, Elsevier, vol. 139(C), pages 804-818.
  9. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
  10. de Jong, Jeroen P.J. & Ben-Menahem, Shiko M. & Franke, Nikolaus & Füller, Johann & von Krogh, Georg, 2021. "Treading new ground in household sector innovation research: Scope, emergence, business implications, and diffusion," Research Policy, Elsevier, vol. 50(8).
  11. Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Dhamotharan, Lalitha, 2022. "A dynamic ensemble selection method for bank telemarketing sales prediction," Journal of Business Research, Elsevier, vol. 139(C), pages 368-382.
  12. Muhammad Kaleem Khan & Chunhui Huo & R. M. Ammar Zahid & Umer Sahil Maqsood, 2024. "The automated sustainability auditor: Does artificial intelligence curtail greenwashing behavior in Chinese firms?," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 9015-9039, December.
  13. Guo, Cong & Jiang, Yaoqin & Yang, Yitong & Yuan, Zhilu & Guo, Renzhong, 2025. "Bringing realism: Enhancing high-dimensional data for active behavior analysis in older adults," Journal of Transport Geography, Elsevier, vol. 129(C).
  14. Feifei Huang & Mingxia Lin & Shoukat Iqbal Khattak, 2024. "Form Uncertainty to Sustainable Decision-Making: A Novel MIDAS–AM–DeepAR-Based Prediction Model for E-Commerce Industry Development," Sustainability, MDPI, vol. 16(14), pages 1-24, July.
  15. Lin, Shunzhi & Lin, Jiabao, 2023. "How organizations leverage digital technology to develop customization and enhance customer relationship performance: An empirical investigation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  16. Philip Mundlos, 2025. "The impact of artificial intelligence on managerial attention allocation for discontinuous change: a conceptual framework," Management Review Quarterly, Springer, vol. 75(2), pages 1-45, June.
  17. Tabrizi, Sina Sayardoost & Yousefi, Saeed & Yakideh, Keikhosro, 2025. "Forecasting efficiency of two-stage Petrochemical sustainable supply chains using Deep Learning and DNDEA Model," Operations Research Perspectives, Elsevier, vol. 15(C).
  18. Xiaoyue Lin & Tiandong Wang & Fan Sheng, 2025. "Exploring the dual effect of trust in GAI on employees’ exploitative and exploratory innovation," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
  19. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
  20. Markus Binder & Bernd Heinrich & Marcus Hopf & Alexander Schiller, 2022. "Global reconstruction of language models with linguistic rules – Explainable AI for online consumer reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2123-2138, December.
  21. Md. Nazmus Sakib & Mohammad Abdul Jabber & Mohammad Younus & Mst. Mafruha Bithee & Md. Manir Sannyamat & Adri Saha & Anuvab Guha, 2025. "Mapping the impacts of neural networks on human resource management research: a bibliometric analysis," Future Business Journal, Springer, vol. 11(1), pages 1-22, December.
  22. Zhong, Xi & She, Jianquan & Wu, Xiaojie, 2024. "Tech for social good: Artificial intelligence and workplace safety," Technology in Society, Elsevier, vol. 79(C).
  23. Mahmoud Abdulhadi Alabdali & Sami A. Khan & Muhammad Zafar Yaqub & Mohammed Awad Alshahrani, 2024. "Harnessing the Power of Algorithmic Human Resource Management and Human Resource Strategic Decision-Making for Achieving Organizational Success: An Empirical Analysis," Sustainability, MDPI, vol. 16(11), pages 1-30, June.
  24. Renu Sabharwal & Shah J. Miah & Samuel Fosso Wamba & Peter Cook, 2025. "Extending application of explainable artificial intelligence for managers in financial organizations," Annals of Operations Research, Springer, vol. 354(1), pages 309-339, November.
  25. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  26. Amir Masoud Rahmani & Efat Yousefpoor & Mohammad Sadegh Yousefpoor & Zahid Mehmood & Amir Haider & Mehdi Hosseinzadeh & Rizwan Ali Naqvi, 2021. "Machine Learning (ML) in Medicine: Review, Applications, and Challenges," Mathematics, MDPI, vol. 9(22), pages 1-52, November.
  27. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  28. Liu, Qian & Gao, Jian & Li, Shijie, 2024. "The innovation model and upgrade path of digitalization driven tourism industry: Longitudinal case study of OCT," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  29. Chen, Jingpeng & Lin, Haiying, 2026. "Corporate digitalization and ESG rating divergence: Evidence from China," Research in International Business and Finance, Elsevier, vol. 82(C).
  30. François-Xavier de Vaujany & Stefan Haefliger & Paula Ungureanu, 2022. "From Collaborative Spaces to New Modes of Organizing: Society, Democracy and Commons on the Way to Novelty [Des espaces collaboratifs aux nouvelles formes d'organisation : société, démocratie et communs sur le chemin de la nouveauté]," Post-Print hal-03827462, HAL.
  31. Md. Nazmus Sakib & Sadia Islam, 2026. "The impacts of machine learning on human resource management: a systematic literature review and bibliometric analysis," Future Business Journal, Springer, vol. 12(1), pages 1-17, December.
  32. Ilanit SimanTov-Nachlieli, 2025. "More to Lose: The Adverse Effect of High Performance Ranking on Employees’ Preimplementation Attitudes Toward the Integration of Powerful AI Aids," Organization Science, INFORMS, vol. 36(1), pages 1-20, January.
  33. Fernanda Neves Tavares Serra & Marcelo Carneiro Gonçalves & Sandro César Bortoluzzi & Sergio Eduardo Gouvêa Costa & Izamara Cristina Palheta Dias & Guilherme Brittes Benitez & Lisianne Brittes Benitez, 2024. "The Link between Environment and Organizational Architecture for Decision-Making in Educational Institutions: A Systemic Approach," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
  34. Potrawa, Tomasz & Tetereva, Anastasija, 2022. "How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market," Journal of Business Research, Elsevier, vol. 144(C), pages 50-65.
  35. Meng, Anbo & Chen, Shu & Ou, Zuhong & Xiao, Jianhua & Zhang, Jianfeng & Chen, Shun & Zhang, Zheng & Liang, Ruduo & Zhang, Zhan & Xian, Zikang & Wang, Chenen & Yin, Hao & Yan, Baiping, 2022. "A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network," Energy, Elsevier, vol. 261(PA).
  36. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
  37. Vecchi, Alessandra & Brennan, Louis, 2022. "Two tales of internationalization – Chinese internet firms' expansion into the European market," Journal of Business Research, Elsevier, vol. 152(C), pages 106-127.
  38. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).
  39. Xie, Liufang & Peng, Zhengbo & Tong, Xiaoge, 2026. "AI strategy, earnings management, and corporate fraud: Evidence from listed firms in China," Economic Modelling, Elsevier, vol. 156(C).
  40. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
  41. Qin, Min & Qiu, Shanshan & Mou, Jian, 2025. "Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise," Technology in Society, Elsevier, vol. 83(C).
  42. Lindner, Thomas & Puck, Jonas & Puhr, Harald, 2025. "Artificial intelligence in international business: IB theory under augmented decision-making," Journal of World Business, Elsevier, vol. 60(6).
  43. Divinus Oppong-Tawiah & Xerxes Minocher & Farzam Boroomand & Jane Webster, 2025. "Meaningful Work as an Ethical Approach: Shaping the Next Generation of Organizational Gamification," Information Systems Frontiers, Springer, vol. 27(3), pages 941-964, June.
  44. VASILEVA Steliana, 2025. "The Role Of Artificial Intelligence (Ai) In Shaping Consumer Behavior In E-Commerce In A World Of Economic Uncertainty And Rapid Changes," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 77(4), pages 69-87, December.
  45. Kyriakopoulos, Nikolaos & Kim, Euiyoung & Hultink, Erik Jan & Santema, Sicco, 2025. "The impact of design thinking and artificial intelligence capabilities on performance: The role of new product development decision-making agility," Journal of Business Research, Elsevier, vol. 200(C).
  46. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  47. Xue, Gang & Gong, Daqing & Ren, Long & Cui, Ziruo, 2026. "Modeling expert risk assessments in utility tunnels with deep learning," Reliability Engineering and System Safety, Elsevier, vol. 265(PA).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.