دانلود رایگان مقاله انگلیسی سرمایه گذاری در تجزیه و تحلیل اطلاعات بزرگ و عملکرد شرکت - تیلور و فرانسیس 2018

عنوان فارسی
سرمایه گذاری در تجزیه و تحلیل اطلاعات بزرگ و عملکرد شرکت: بررسی تجربی اثرات مستقیم و با واسطه
عنوان انگلیسی
Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
17
سال انتشار
2018
نشریه
تیلور و فرانسیس
فرمت مقاله انگلیسی
PDF
کد محصول
E6433
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مدیریت
گرایش های مرتبط با این مقاله
مدیریت عملکرد
مجله
مجله بین المللی تحقیقات تولید - International Journal of Production Research
دانشگاه
Department of Management and Production Engineering - Politecnico di Torino - Italy
کلمات کلیدی
تحلیل داده های بزرگ؛ ارزش کسب و کار؛ رضایت مشتری؛ عملکرد شرکت؛ بررسی مبتنی بر منابع
چکیده

Big data has recently been recognised as one of the most important areas of future technology. It has attracted the attention of many industries, since it has the potential to provide companies with high business value. This paper examines the forms of business value that companies can create from big data analytics investments, the direct impacts it has on the financial performance of a firm, and the mediating effects of market performance and customer satisfaction. Drawing on the resource-based view theory, this study demonstrates that the business value achieved from investments in big data analytics leads to advantages in terms of the financial performance of a firm. The results offer evidence of the existence of a customer satisfaction mediation effect and of the absence of a market performance mediation effect. Theoretical and practical implications are discussed at the end of the paper.

نتیجه گیری

Conclusion


Even though investments in big data analytics solutions are still very risky, the organisations that have invested successfully are able to profit from better customer satisfaction and higher market performance. Moreover, customer satisfaction and business value ultimately enhance the financial performance of a firm. Big data analytics solutions should be designed holistically to generate transactional, transformational, strategic and informational values. The findings of this study will help to enrich scientific knowledge at the crossroads of technology and management sciences. However, there are still many unanswered questions, some of which have explicitly been highlighted in this article, which will ensure that the big data field remains fruitful for further research.


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