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Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential
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- 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.
- 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.
- 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.
- 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).
- Fadia Abduljabbar Saeed & Ghalia Nassreddine & Joumana Younis, 2024. "Network Attack Detection for Business Safety," Post-Print hal-04579363, HAL.
- 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.
- 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).
- Holmström, Jonny, 2022. "From AI to digital transformation: The AI readiness framework," Business Horizons, Elsevier, vol. 65(3), pages 329-339.
- 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.
- 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.
- Nguyen, Phong Thanh, 2020. "Application Machine Learning in Construction Management," MPRA Paper 109899, University Library of Munich, Germany, revised 01 Aug 2021.
- 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.
- Drydakis, Nick, 2022. "Improving Entrepreneurs’ Digital Skills and Firms’ Digital Competencies through Business Apps Training: A Study of Small Firms," GLO Discussion Paper Series 1078, Global Labor Organization (GLO).
- Drydakis, Nick, 2022. "Improving Entrepreneurs' Digital Skills and Firms' Digital Competencies through Business Apps Training: A Study of Small Firms," IZA Discussion Papers 15204, Institute of Labor Economics (IZA).
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
- Wenwen Chen & Yangchongyi Men & Noelia Fuster & Celia Osorio & Angel A. Juan, 2024. "Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review," Sustainability, MDPI, vol. 16(21), pages 1-22, October.
- 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).
- 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.
- 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.
- 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).
- 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).
- 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.
- Vanessa Ratten, 2024. "Artificial Intelligence, Digital Trends and Globalization: Future Research Trends," FIIB Business Review, , vol. 13(3), pages 286-293, May.
- Kunnathuvalappil Hariharan, Naveen, 2017. "Predictive model building for driver-based budgeting using machine learning," MPRA Paper 109516, University Library of Munich, Germany.
- 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.
- 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.
- 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.
- 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.
- 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.
- Drydakis, Nick, 2022. "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis during the COVID-19 Pandemic," IZA Discussion Papers 15065, Institute of Labor Economics (IZA).
- Drydakis, Nick, 2022. "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," GLO Discussion Paper Series 1045, Global Labor Organization (GLO).
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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).
- Lee, In & Shin, Yong Jae, 2020. "Machine learning for enterprises: Applications, algorithm selection, and challenges," Business Horizons, Elsevier, vol. 63(2), pages 157-170.
- 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.
- 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.
- 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.
- 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.
- 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.