کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5079211 1477524 2016 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
How to improve firm performance using big data analytics capability and business strategy alignment?
ترجمه فارسی عنوان
چگونه می توان عملکرد شرکت را با استفاده از قابلیت تحلیل داده های بزرگ و هماهنگ سازی استراتژی کسب و کار بهبود داد؟
کلمات کلیدی
قابلیت ها، دیدگاه محصور، تجزیه و تحلیل داده های بزرگ، مدل سازی سلسله مراتبی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی
The recent interest in big data has led many companies to develop big data analytics capability (BDAC) in order to enhance firm performance (FPER). However, BDAC pays off for some companies but not for others. It appears that very few have achieved a big impact through big data. To address this challenge, this study proposes a BDAC model drawing on the resource-based theory (RBT) and the entanglement view of sociomaterialism. The findings show BDAC as a hierarchical model, which consists of three primary dimensions (i.e., management, technology, and talent capability) and 11 subdimensions (i.e., planning, investment, coordination, control, connectivity, compatibility, modularity, technology management knowledge, technical knowledge, business knowledge and relational knowledge). The findings from two Delphi studies and 152 online surveys of business analysts in the U.S. confirm the value of the entanglement conceptualization of the higher-order BDAC model and its impact on FPER. The results also illuminate the significant moderating impact of analytics capability-business strategy alignment on the BDAC-FPER relationship.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Production Economics - Volume 182, December 2016, Pages 113-131
نویسندگان
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