Search Results - subject:"Delphi technique"

Interconnected digital twins and the future of digital manufacturing : insights from a Delphi study

Dyck, Marc Van; Lüttgens, Dirk; Piller, Frank T.; … - In: The journal of product innovation management : an … 40 (2023) 4, pp. 475-505

Persistent link: https://www.econbiz.de/10014338543

Prioritizing risk-level factors in comprehensive automobile insurance management : a hybrid multi-criteria decision-making model

Esfandabadi, Zahra Shams; Ranjbari, Meisam; Domenico … - In: Global business review 24 (2023) 5, pp. 972-989

Persistent link: https://www.econbiz.de/10014432526

A Delphi fuzzy analytic hierarchy process framework for criteria classification and prioritization in food supply chains under uncertainty

Gupta, Srikant; Chatterjee, Prasenjit; Rastogi, Raghavendra - In: Decision analytics journal 7 (2023), pp. 1-14

Effectively managing food supply chains is critical for ensuring food security and safety. Identifying and prioritizing the criteria affecting food supply chain performance is imperative to manage uncertainty and avoid undesirable consequences in Supply Chain Management (SCM). This study aims to...

Persistent link: https://www.econbiz.de/10014434173

Challenges of organizations' adoption of industrial IoT platforms : results of a Delphi study

Arnold, Laurin; Karnebogen, Philip; Urbach, Nils - In: International journal of innovation and technology … 20 (2023) 6, pp. 1-37

Persistent link: https://www.econbiz.de/10014366605

The influence of government upon multinational company manufacturing location decisions

Ekhart, Gerard; Breese, Richard - In: European management review : EMR 20 (2023) 3, pp. 512-529

Persistent link: https://www.econbiz.de/10014457658

Automated trucks and the future of logistics : a Delphi-based scenario study

Escherle, Svenja; Darlagiannis, Emilia; Sprung, Anna - In: Logistics research 16 (2023) 1, pp. 1-21

The logistics industry is facing a transformation. Automated driving has been gaining importance in the commercial vehicle industry and trucks with SAE L4 are expected by 2030 for the hub-to-hub scenario. Driven by the research question of what the direct logistics environment of automated...

Persistent link: https://www.econbiz.de/10014514806

Towards a sustainability management tool for food manufacturing small and medium-sized enterprises : insights from a Delphi study

Küchler, Rebekka; Nicolai, Birte Maja; Herzig, Christian - In: Corporate social responsibility and environmental management 30 (2023) 2, pp. 589-604

Persistent link: https://www.econbiz.de/10014246010

Identifying key leadership competencies for digital transformation : evidence from a cross-sectoral Delphi study of global managers

Philip, Jestine; Gilli, Katharina; Knappstein, Michael - In: Leadership & organization development journal 44 (2023) 3, pp. 392-406

Persistent link: https://www.econbiz.de/10014311823

Performance efficiency assessment of Vietnamese ports : an application of Delphi with Kamet principles and DEA model

Nhu-Mai Thi Nong - In: The Asian Journal of Shipping and Logistics 39 (2023) 1, pp. 1-12

country with notable progress and role in global seaborne transport. The hybrid method of Delphi technique with KAMET … principle and input and output - oriented DEA method was applied to solve the problem of efficiency assessment. The Delphi … technique with KAMET principle was used to determine the efficiency evaluation criteria whilst the input and output - oriented …

Persistent link: https://www.econbiz.de/10014281585

Validating the whistleblowing maturity model using the delphi method

Kagias, Paschalis; Sariannidis, Nikolaos; Garefalakis, … - In: Administrative Sciences : open access journal 13 (2023) 5, pp. 1-20

Empirical research identifies whistleblowing as one of the most effective internal antifraud controls. Very recently, Directive 1937/2019 became effective in the EU, aiming to deal with the defragmentation of whistleblowing legislation among the member states and provide common minimum accepted...

Persistent link: https://www.econbiz.de/10014318708