scholarly journals The Impact of Big Data on Firm Performance: An Empirical Investigation

2018 ◽  
Author(s):  
Patrick Bajari ◽  
Victor Chernozhukov ◽  
Ali Hortaçsu ◽  
Junichi Suzuki
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Empirical Investigation ◽  
The Impact

scholarly journals The Impact of Big Data on Firm Performance: An Empirical Investigation

2019 ◽  
Vol 109 ◽  
pp. 33-37 ◽  
Author(s):  
Patrick Bajari ◽  
Victor Chernozhukov ◽  
Ali Hortaçsu ◽  
Junichi Suzuki
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Empirical Investigation ◽  
Forecast Accuracy ◽  
Forecast Errors ◽  
Retail Sales ◽  
Sales Data ◽  
Empirical Results ◽  
Time Periods ◽  
The Impact

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.

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 ◽  
Firm Performance ◽  
The Impact

The impact of big data on firm performance in hotel industry

2020 ◽  
Vol 40 ◽  
pp. 100921 ◽  
Author(s):  
Elaheh Yadegaridehkordi ◽  
Mehrbakhsh Nilashi ◽  
Liyana Shuib ◽  
Mohd Hairul Nizam Bin Md Nasir ◽  
Shahla Asadi ◽  
...  
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Hotel Industry ◽  
The Impact

scholarly journals The Impact of Online Media Big Data on Firm Performance: Based on Grey Relation Entropy Method

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Hai-qing Qin ◽  
Zhen-hui Li ◽  
Jia-jia Yang
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Media Coverage ◽  
Entropy Method ◽  
Online Media ◽  
Short Term ◽  
Long Run ◽  
Focal Firm ◽  
The Impact ◽  
Grey Relation

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.

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