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Information technology continuance intention : a systematic literature review

Nabavi, Ali; Taghavi-Fard, Mohammad Taghi; Hanafizadeh, … - In: International journal of e-business research : an … 12 (2016) 1, pp. 58-95

Persistent link: https://www.econbiz.de/10011446660

IT in lean-based manufacturing industries : systematic literature review and research issues

Pinho, Cláudia; Mendes, Luís Antonio F. - In: International journal of production research 55 (2017) 24, pp. 7524-7540

Persistent link: https://www.econbiz.de/10011798672

A fuzzy TOPSIS method for selecting an e-banking outsourcing strategy

Ravasan, Ahad Zare; Hanafizadeh, Payam; Olfat, Laya; … - In: International journal of enterprise information systems … 13 (2017) 2, pp. 34-49

Persistent link: https://www.econbiz.de/10011721947

An investigation into the factors influencing the outsourcing decision of e-banking services : a multi-perspective framework

Hanafizadeh, Payam; Ravasan, Ahad Zare - In: Journal of global operations and strategic sourcing 10 (2017) 1, pp. 67-89

Persistent link: https://www.econbiz.de/10011650551

IT outsourcing through group decision-making based on the principles of interval-valued intuitionistic fuzzy theory

Sayyadi Tooranloo, Hossein; Sadat, Arezoo; Karami, Mohsen - In: International journal of procurement management 11 (2018) 1, pp. 96-112

Persistent link: https://www.econbiz.de/10011965947

Exploring transparency : a new framework for responsible business management

Parris, Denise Linda; Dapko, Jennifer L.; Arnold, … - In: Management decision : MD 54 (2016) 1, pp. 222-247

Persistent link: https://www.econbiz.de/10011459238

On the current state of combining human and artificial intelligence for strategic organizational decision making

Trunk, Anna; Birkel, Hendrik; Hartmann, Evi - In: Business research 13 (2020) 3, pp. 875-919

Strategic organizational decision making in today's complex world is a dynamic process characterized by uncertainty … identifies for integrating AI into organizational decision making under uncertainty. The findings are summarized in a conceptual … model that first explains how humans can use AI for decision making under uncertainty and then identifies the challenges …

Persistent link: https://www.econbiz.de/10012422298