دانلود رایگان مقاله توسعه قابلیت تجزیه و تحلیل کلان داده ها

عنوان فارسی
در جهت توسعه قابلیت تجزیه و تحلیل داده های بزرگ
عنوان انگلیسی
Toward the development of a big data analytics capability
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
16
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E3296
رشته های مرتبط با این مقاله
مدیریت
گرایش های مرتبط با این مقاله
مدیریت عملکرد
مجله
مدیریت اطلاعات - Information & Management
دانشگاه
بخش تجزیه و تحلیل اطلاعات سیستم ها و کسب و کار، دانشکده کسب و کار، دانشگاه بین المللی فلوریدا، میامی، ایالات متحده
کلمات کلیدی
تجزیه و تحلیل داده بزرگ، عملکرد شرکت، قابلیت، نظریه مبتنی بر منابع، توسعه ابزار، سازه های شکل گیری
چکیده

Abstract


The era of big data has begun such that organizations in all industries have been heavily investing in big data initiatives. We know from prior studies that investments alone do not generate competitive advantage; instead, firms need to create capabilities that rival firms find hard to match. Drawing on the resource-based theory of the firm and recent work in big data, this study (1) identifies various resources that in combination build a big data analytics (BDA) capability, (2) creates an instrument to measure BDA capability of the firm, and (3) tests the relationship between BDA capability and firm performance. Results empirically validate the proposed theoretical framework of this study and provide evidence that BDA capability leads to superior firm performance.

نتیجه گیری

5. Conclusion


This work was motivated by the phenomenal influx of interest in BDA by both practitioners and academics. While practitioners have long been contributing to the literature on BDA, academics have only recently begun to understand the big data sensation [30,33,37,40]. Consequently, a majority of the extant big data literature talks about the transformational potential of BDA without clearly defining the notion of BDA capability and how firms can create one. This study took insights from RBT, past IT capability literature, and recent published work in big data and suggested seven resources that are likely to create a BDA capability. Specifically, data, technology, and basic resources (e.g., sufficient investments, adequate time) are suggested as three necessary tangible resources, and managerial and technical big data skills are identified as two important human skills. In addition to tangible and human resources, firms need to construct intangible resources such as data-driven culture and the intensity of organizational learning to create a BDA capability. Finally, this study developed a survey instrument to measure a firm’s BDA capability, which was then used to empirically validate the relationship between BDA capability and firm performance.


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