A longitudinal study of the actual value of big data and analytics: The role of industry environment |
| |
| Institution: | 1. Department of Finance and Decision Sciences, School of Business, Trinity University, San Antonio, TX 78212, USA;2. Department of Marketing, Information Systems, and Decision Sciences, Anderson School of Management, University of New Mexico, Albuquerque, NM 87131, USA;1. School of Management, University of Science and Technology of China, No. 96, JinZhai Road, Hefei, Anhui 230000, China;2. School of Management, Hefei University of Technology, No. 193, TunXi Road, Hefei, Anhui 230000, China;3. International Institute of Finance, School of Management, University of Science and Technology of China, No.96, JinZhai Road, Hefei, Anhui 230000, China;1. University of Ljubljana, School of Economics and Business, Kardeljeva plo??ad 17, 1000 Ljubljana, Slovenia;2. NEOMA Business School, 1 Rue du Maréchal Juin, 76130 Mont-Saint-Aignan, France;1. School of Management, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an, Shaanxi, 710049, China;2. ERC for Process Mining of Manufacturing Services in Shaanxi Province, 28 Xianning West Road, Xi’an, Shaanxi, 710049, China;3. Department of Management & Entrepreneurship, Driehaus College of Business, DePaul University, 1 E. Jackson Blvd., Chicago, IL, 60604, USA;1. Alibaba Business College, Hangzhou Normal University, Hangzhou, China;2. School of Business, Zhejiang University City College, Hangzhou, China;3. School of Management, Zhejiang University, Hangzhou, China;1. Department of Telecommunications (Government of India), New Delhi, India;2. Indian Institute of Management Indore, Prabandh Shikhar, Rau-Pithampur Road, Madhya Pradesh, Indore, India;1. Research Center for Advanced Science and Technology, The University of Tokyo, Japan;2. Department of Technology Management for Innovation, The University of Tokyo, Japan;3. Research Institute of Economy, Trade, and Industry (RIETI), Japan |
| |
| Abstract: | Despite the popularity of big data and analytics (BDA) in industry, research regarding the economic value of BDA is still at an early stage. Little attention has been paid to quantifying the longitudinal impact of organizational BDA implementation on firm performance. Grounded in organizational learning theory, this study empirically demonstrates the impact of BDA implementation on organizational performance and how industry environment characteristics moderate the BDA-performance relationships. Using secondary data regarding BDA implementation from 2010 to February 2020, we find that BDA implementation has a significant impact on two types of business value creation: operational efficiency and business growth. Furthermore, the impact of BDA on operational efficiency is amplified in less dynamic and complex environments, while the BDA-business growth relationship is more pronounced in more dynamic, complex, and munificent environments. Collectively, this study provides a theory-centric understanding of BDA’s economic benefits. The findings offer insights to firms about what actual benefits BDA implementation may generate and how firms may align the use of BDA with the industry environments they are operating in. |
| |
| Keywords: | Big data and analytics implementation Longitudinal study Organizational learning theory Industry environment |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
