Initial Evidence on the Impact of Big Data Implementation on Firm Performance

2018 ◽  
Vol 22 (2) ◽  
pp. 475-487 ◽  
Author(s):  
Cheng-Kui Huang ◽  
Tawei Wang ◽  
Tzu-Yen Huang
Keyword(s):  
Big Data ◽  
2019 ◽  
Vol 109 ◽  
pp. 33-37 ◽  
Author(s):  
Patrick Bajari ◽  
Victor Chernozhukov ◽  
Ali Hortaçsu ◽  
Junichi Suzuki

We examine the impact of “big data” on firm performance in the context of forecast accuracy using proprietary retail sales data obtained from Amazon. We measure the accuracy of forecasts in two relevant dimensions: the number of products (N), and the number of time periods for which a product is available for sale (T). Theory suggests diminishing returns to larger N and T, with relative forecast errors diminishing at rate 1/sqrt(N)+1/sqrt(T). Empirical results indicate gains in forecast improvement in the T dimension but essentially flat N effects.


2020 ◽  
Vol 40 ◽  
pp. 100921 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Mehrbakhsh Nilashi ◽  
Liyana Shuib ◽  
Mohd Hairul Nizam Bin Md Nasir ◽  
Shahla Asadi ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Hai-qing Qin ◽  
Zhen-hui Li ◽  
Jia-jia Yang

The study uses the grey relation entropy method to explore the impact of online media big data on firm performance, based on 17 randomly selected Chinese A-share listed companies during the period from 2012 to 2017. It shows that the media big data, especially the negative media coverage, is highly associated with both short-term and long-term firm performance. Then, this study employs the system GMM method to testify how negative media coverage affects firm performance. It indicates that negative media coverage may be a damage crisis for the focal firm in the short term, but a favorable chance for change in the long run. These findings not only enrich the research on the influence of online media big data but also provide some references for enterprise managers.


2018 ◽  
Vol 17 (04) ◽  
pp. 1850045 ◽  
Author(s):  
Muhammad Anwar ◽  
Sher Zaman Khan ◽  
Syed Zulfiqar Ali Shah

Big data (BD) capabilities have now grabbed the attention of strategic management researchers because of their significant role in firm’s performance and success. Nonetheless, very little empirical evidence has so far been put forward about the contribution of BD capabilities towards a firm performance and Competitive Advantage (CA). This research examines the impact of Big Data Technological Capabilities (BDTC) and Big Data Personal Capabilities (BDPC) on firms’ performance with a mediating role of CA among the firms operating in the world’s top emerging economy such as China. Data were collected through structured questionnaires using a sample size of 312 firms. The hypotheses were tested in AMOS.21 using Structural Equation Modelling (SEM). The results indicate that BDTC and BDPC have significant positive impact on firm performance and CA and there is also significant positive relationship between CA and firm performance. The study highlights that CA partially mediates the relationship between BDTC and firm performance as well as between BDPC and firm performance. Hence, BD-oriented firms achieve CA which in turn leads to superior performance in dynamic markets. This study discussed implications for managerial practices.


2018 ◽  
Author(s):  
Patrick Bajari ◽  
Victor Chernozhukov ◽  
Ali Hortaçsu ◽  
Junichi Suzuki

2019 ◽  
Vol 118 (3) ◽  
pp. 178-188
Author(s):  
Yeon-Sung Cho ◽  
Kyung-Il Khoe

This study intends to integrate the relationship of market orientation, innovative capacity and firm performance to Information and Communication Technology(ICT) SMEs. The purpose of this study is to identify the role of absorptive capacity and transformative capacity that affect the performance of ICT SMEs. Hypotheses were established between five latent variables. A total of six hypotheses were established including the moderated effects of absorptive capacity and transformative capacity. Of the data collected after the survey, 112 valid surveys were selected as the final sample, except for 17 questionnaires with high non - response and insincere response. The empirical analysis of this study used smartpls3.0, Partial Least Squares (PLS), a variance-based structural equation modeling. The empirical analysis of this study revealed that the impact of market orientation on innovative capacity was significant. Moreover, the innovative capacity had a positive effect on the performance of ICT SMEs. In addition, the absorptive activity had a positive moderated effect between the market orientation and the innovative capacity. On the other hand, the transformative capacity showed a positive moderated effect in relation to innovative capacity and firm performance. Our empirical results have demonstrated the importance of knowledge based capacity in the ICT SMEs.


Sign in / Sign up

Export Citation Format

Share Document