IDEAS home Printed from https://ideas.repec.org/r/eee/bushor/v63y2020i2p183-193.html
   My bibliography  Save this item

Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential

Citations

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


Cited by:

  1. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
  2. Jingwen Dong & Siti Nurulain Mohd Rum & Khairul Azhar Kasmiran & Teh Noranis Mohd Aris & Raihani Mohamed, 2022. "Artificial Intelligence in Adaptive and Intelligent Educational System: A Review," Future Internet, MDPI, vol. 14(9), pages 1-11, August.
  3. Eliza Nichifor & Adrian Trifan & Elena Mihaela Nechifor, 2021. "Artificial Intelligence in Electronic Commerce: Basic Chatbots and Consumer Journey," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-87, February.
  4. Bavaresco, Rodrigo Simon & Nesi, Luan Carlos & Victória Barbosa, Jorge Luis & Antunes, Rodolfo Stoffel & da Rosa Righi, Rodrigo & da Costa, Cristiano André & Vanzin, Mariangela & Dornelles, Daniel & J, 2023. "Machine learning-based automation of accounting services: An exploratory case study," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
  5. Fadia Abduljabbar Saeed & Ghalia Nassreddine & Joumana Younis, 2024. "Network Attack Detection for Business Safety," Post-Print hal-04579363, HAL.
  6. Desouza, Kevin C. & Dawson, Gregory S. & Chenok, Daniel, 2020. "Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector," Business Horizons, Elsevier, vol. 63(2), pages 205-213.
  7. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
  8. Michael Weber & Moritz Beutter & Jörg Weking & Markus Böhm & Helmut Krcmar, 2022. "AI Startup Business Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 91-109, February.
  9. Arias-Pérez, José & Vélez-Jaramillo, Juan, 2022. "Ignoring the three-way interaction of digital orientation, Not-invented-here syndrome and employee's artificial intelligence awareness in digital innovation performance: A recipe for failure," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  10. Holmström, Jonny, 2022. "From AI to digital transformation: The AI readiness framework," Business Horizons, Elsevier, vol. 65(3), pages 329-339.
  11. Kull, Alexander J. & Romero, Marisabel & Monahan, Lisa, 2021. "How may I help you? Driving brand engagement through the warmth of an initial chatbot message," Journal of Business Research, Elsevier, vol. 135(C), pages 840-850.
  12. Nick Drydakis, 2022. "Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
  13. Huishuang Su & Xintong Qu & Shuo Tian & Qiang Ma & Ling Li & Yong Chen, 2022. "Artificial intelligence empowerment: The impact of research and development investment on green radical innovation in high‐tech enterprises," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 489-502, May.
  14. Nguyen, Phong Thanh, 2020. "Application Machine Learning in Construction Management," MPRA Paper 109899, University Library of Munich, Germany, revised 01 Aug 2021.
  15. Nick Drydakis, 2022. "Improving Entrepreneurs’ Digital Skills and Firms’ Digital Competencies through Business Apps Training: A Study of Small Firms," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
  16. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
  17. Alina Köchling & Shirin Riazy & Marius Claus Wehner & Katharina Simbeck, 2021. "Highly Accurate, But Still Discriminatory," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 39-54, February.
  18. Asatiani, Aleksandre & Copeland, Olli & Penttinen, Esko, 2023. "Deciding on the robotic process automation operating model: A checklist for RPA managers," Business Horizons, Elsevier, vol. 66(1), pages 109-121.
  19. Cristian-Mihai Vidu & Florina Pinzaru & Andreea Mitan, 2022. "What managers of SMEs in the CEE region should know about challenges of artificial intelligence’s adoption? – an introductive discussion," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 1, pages 63-76.
  20. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
  21. Paschen, Jeannette & Wilson, Matthew & Ferreira, João J., 2020. "Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel," Business Horizons, Elsevier, vol. 63(3), pages 403-414.
  22. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
  23. Yue Jiao & Yui-yip Lau & Jing Gao, 2024. "Exploring the factors affecting cruise passengers’ perceptions of value for money expressed in online reviews," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  24. Ralf Wagner & Agnieszka Kabalska, 2023. "Sustainable value in the fashion industry: A case study of value construction/destruction using digital twins," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1652-1667, June.
  25. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
  26. Kinkel, Steffen & Capestro, Mauro & Di Maria, Eleonora & Bettiol, Marco, 2023. "Artificial intelligence and relocation of production activities: An empirical cross-national study," International Journal of Production Economics, Elsevier, vol. 261(C).
  27. Wuttipong Kusonkhum & Korb Srinavin & Tanayut Chaitongrat, 2023. "The Adoption of a Big Data Approach Using Machine Learning to Predict Bidding Behavior in Procurement Management for a Construction Project," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
  28. Yasheng Chen & Mohammad Islam Biswas, 2021. "Turning Crisis into Opportunities: How a Firm Can Enrich Its Business Operations Using Artificial Intelligence and Big Data during COVID-19," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
  29. Plattfaut, Ralf & Koch, Julian, 2021. "Preserving the legacy – Why do professional soccer clubs (not) adopt innovative process technologies? A grounded theory study," Journal of Business Research, Elsevier, vol. 136(C), pages 237-250.
  30. Fernandez Martinez, Roberto & Lostado Lorza, Ruben & Santos Delgado, Ana Alexandra & Piedra, Nelson, 2021. "Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL," Journal of Informetrics, Elsevier, vol. 15(1).
  31. Shamim, Saqib & Yang, Yumei & Ul Zia, Najam & Khan, Zaheer & Shariq, Syed Muhammad, 2023. "Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy," Journal of Business Research, Elsevier, vol. 167(C).
  32. Chen Yang & Jing Hu, 2022. "When do consumers prefer AI-enabled customer service? The interaction effect of brand personality and service provision type on brand attitudes and purchase intentions," Journal of Brand Management, Palgrave Macmillan, vol. 29(2), pages 167-189, March.
  33. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
  34. Vanessa Ratten, 2024. "Artificial Intelligence, Digital Trends and Globalization: Future Research Trends," FIIB Business Review, , vol. 13(3), pages 286-293, May.
  35. Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
  36. Li, Chia-Ying & Zhang, Jin-Ting, 2023. "Chatbots or me? Consumers’ switching between human agents and conversational agents," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
  37. Lee, In & Shin, Yong Jae, 2020. "Machine learning for enterprises: Applications, algorithm selection, and challenges," Business Horizons, Elsevier, vol. 63(2), pages 157-170.
  38. Berk Kaan Kuguoglu & Haiko van der Voort & Marijn Janssen, 2021. "The Giant Leap for Smart Cities: Scaling Up Smart City Artificial Intelligence of Things (AIoT) Initiatives," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
  39. Kunnathuvalappil Hariharan, Naveen, 2017. "Predictive model building for driver-based budgeting using machine learning," MPRA Paper 109516, University Library of Munich, Germany.
  40. Masao Hirasaka & Yasuo Kusaka & Jim Brogan, 2021. "Japanese style management in eras of change: new management model," SN Business & Economics, Springer, vol. 1(6), pages 1-18, June.
  41. Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.
  42. Graziela Molling & Amarolinda Zanela Klein, 2022. "Value proposition of IoT-based products and services: a framework proposal," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 899-926, June.
  43. Neubert, Mitchell J. & Montañez, George D., 2020. "Virtue as a framework for the design and use of artificial intelligence," Business Horizons, Elsevier, vol. 63(2), pages 195-204.
  44. Black, J. Stewart & van Esch, Patrick, 2020. "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, Elsevier, vol. 63(2), pages 215-226.
  45. Canhoto, Ana Isabel, 2021. "Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective," Journal of Business Research, Elsevier, vol. 131(C), pages 441-452.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.