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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study
ترجمه فارسی عنوان مقاله:
تاثیر آتی و اجتماعی تجزیه و تحلیل داده های بزرگ در مدیریت زنجیره تامین: نتایج یک مطالعه دلفی
منبع:
Sciencedirect - Elsevier - Technological Forecasting & Social Change, 130 (2018) 135-149: doi:10:1016/j:techfore:2017:10:005
نویسنده:
Bernhard Roßmann, Angelo Canzaniello, Heiko von der Gracht⁎, Evi Hartmann
چکیده انگلیسی:
The continuously growing amount of available data has accelerated the emergence of numerous business in
telligence applications that are summarized under the term Big Data Analytics (BDA). BDA is especially relevant
to the domain of Supply Chain Management (SCM) as it provides the tools to support decision-making in in
creasingly global, volatile and dynamic value networks. However, its application challenges traditional in
stitutional arrangements as well as roles that are related to the management of data. The underlying empirical
study addresses this challenge with the application of a multi-method approach that is embedded in
Organizational Information Processing Theory (OIPT). A Delphi survey was conducted to integrate expert as
sessments of projections up to the year 2035 and fuzzy c-means clustering was applied to identify future sce
narios that span the future of BDA in SCM. The study suggests that BDA will improve demand forecasts, reduce
safety stocks and improve the management of supplier performance. However, supply chain (SC) processes will
become increasingly automated and traditional tasks of SCM will be partially substituted as a result.
Consequently, the transition of the traditional role of SCM within organizations will increase the importance of
human intuition, trust and strategic decision-making.
Keywords: Big Data Analytics ، Supply Chain Management ، Organizational Information Processing Theory ،Delphi method ، Fuzzy logic
قیمت: رایگان
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