The Effect of Big Data Analytics Capability on Firm Performance: A Pilot Study in China

2020 ◽  
pp. 594-608
Author(s):  
(Claude) Chien-Hung Liu ◽  
Nikolay Mehandjiev
Keyword(s):  
Big Data ◽  
Pilot Study ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Analytics Capability

scholarly journals How to improve firm performance using big data analytics capability and business strategy alignment?

2016 ◽  
Vol 182 ◽  
pp. 113-131 ◽  
Author(s):  
Shahriar Akter ◽  
Samuel Fosso Wamba ◽  
Angappa Gunasekaran ◽  
Rameshwar Dubey ◽  
Stephen J. Childe
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Business Strategy ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Strategy Alignment ◽  
Analytics Capability

Impacts of big data analytics management capabilities and supply chain integration on global sourcing: a survey on firm performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shokouh Razaghi ◽  
Sajjad Shokouhyar
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Global Sourcing ◽  
Content Type ◽  
Mediating Role ◽  
Management Capability ◽  
Analytics Capability

Purpose This study aims to show that management with big data analytics capability can achieve more advantages of the global sourcing process. Furthermore, this study using its conceptual attitude model aims to show that big data analytics management capability leads to an increase in firm performance by the mediating role of integration. Design/methodology/approach Using an online questionnaire, 158 managers from 13 Iranian companies taking advantage of the global sourcing process were surveyed. The validity of the hypotheses was evaluated using partial least squares based on structural equation modeling (PLS method). Findings The results of the study showed that big data analytics management capability has a positive impact on global sourcing and firm performance directly, and by the mediating role of integration. Originality/value Previous studies have carefully addressed the role of big data and big data analytics in firms. However, this is among a few studies addressing the role of big data analytics capability, especially management capability, in improving firms’ performance. The results of this study shed light on the fact that how global sourcing takes the best advantage of big data analytics management capability for better accomplishment of organizations’ duties. The results of this study also disclose how big data analytics management capability helps organizations with their performance and bring benefits to their units.

Big data analytics capability and organizational performance measures: The mediating role of business intelligence infrastructure

2021 ◽  
pp. 026638212110553
Author(s):  
Aboobucker Ilmudeen
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Organizational Performance ◽  
Performance Measures ◽  
Business Intelligence ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Operational Performance ◽  
Marketing Performance ◽  
Analytics Capability

The growing importance of big data has headed enterprises to advance their big data analytics capability to strengthen their firm performance. This study tests how big data capability impact on business intelligence infrastructure to achieve firm performance measures such as operational performance and marketing performance. This study is based on the recent literature on the knowledge-based view, big data capability, IT capability, and business intelligence. The primary survey of 272 responses from Chinese firms’ IT managers and big data analysts are used to uncover the relationship in the proposed model. The finding shows that the big data analytics capability significantly impacts on business intelligence infrastructure that in turn positively impact on operational performance and marketing performance. Further, the business intelligence infrastructure partially mediates between big data analytics capability and operational performance, and fully mediates between big data analytics capability and marketing performance. This research contributes to the information systems literature such as big data analytic capability, business intelligence, and firm performance measures, and thus offers grounds to extend more widespread studies in this field. This study adds to the literature on the theory and practical bases for big data capability and business intelligence infrastructure.

Big data analytics capability as a mediator in the impact of open innovation on firm performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
José Arias-Pérez ◽  
Alejandro Coronado-Medina ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Financial Performance ◽  
Open Innovation ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Content Type ◽  
Customer Involvement ◽  
The Relationship ◽  
Analytics Capability

PurposeBig data analytics capability (BDAC) is the ability of a firm to capture and analyze big data toward the generation of insights. The literature has mainly focused on analyzing the direct effects of BDAC on different aspects related to firm performance such as finances and innovation. However, the lack of works analyzing the intermediation role BDAC could play is noticeable, particularly in organizational situations that pose great challenges in terms of data processing. Thus, the aim of this paper is to analyze BDAC mediation in the relationship between open innovation (OI), particularly customer involvement, and firm performance (financial and non-financial).Design/methodology/approachStructural equation modeling was used to test the proposed model with survey data from a sample of 112 firms.FindingsThe results show that BDAC has a partial mediating effect on the relationship between OI and financial performance, and between OI and non-financial performance. Nevertheless, this mediation is greater in the first relationship.Originality/valueThe main contribution of the study is to offer a broader research perspective regarding the role of BDAC in the relationship between OI and firm performance. This study ultimately questions that research tradition in which this role has been reduced to that of a simple application of data analytics techniques. Instead, the results show BDAC is primarily an organizational skill that should be articulated with key processes, such as customer involvement, to maximize the financial and non-financial use of the large flow of data coming from the main OI activity of low and medium-technology companies.

scholarly journals Big data analytics and firm performance: Effects of dynamic capabilities

2017 ◽  
Vol 70 ◽  
pp. 356-365 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Angappa Gunasekaran ◽  
Shahriar Akter ◽  
Steven Ji-fan Ren ◽  
Rameshwar Dubey ◽  
...  
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Data Analytics ◽  
Dynamic Capabilities ◽  
Big Data Analytics ◽  
Performance Effects

The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Culture

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.

scholarly journals Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory

2020 ◽  
Vol 12 (5) ◽  
pp. 1984
Author(s):  
Michael Song ◽  
Haili Zhang ◽  
Jinjin Heng
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The United States ◽  
Information Processing Theory ◽  
Processing Theory ◽  
Study Results ◽  
Analytics Capability ◽  
Cross National

Service innovativeness is a key sustainable competitive advantage that increases sustainability of enterprise development. Literature suggests that big data and big data analytics capability (BDAC) enhance sustainable performance. Yet, no studies have examined how big data and BDAC affect service innovativeness. To fill this research gap, based on the information processing theory (IPT), we examine how fits and misfits between big data and BDAC affect service innovativeness. To increase cross-national generalizability of the study results, we collected data from 1403 new service development (NSD) projects in the United States, China and Singapore. Dummy regression method was used to test the model. The results indicate that for all three countries, high big data and high BDAC has the greatest effect on sustainable innovativeness. In China, fits are always better than misfits for creating sustainable innovativeness. In the U.S., high big data is always better for increasing sustainable innovativeness than low big data is. In contrast, in Singapore, high BDAC is always better for enhancing sustainable innovativeness than low BDAC is. This study extends the IPT and enriches cross-national research of big data and BDAC. We conclude the article with suggestions of research limitations and future research directions.

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