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

Abstract

The recent interest in big data has led many companies to develop big data analytics capability (BDAC) in order to enhance firm performance (FPER). However, BDAC pays off for some companies but not for others. It appears that very few have achieved a big impact through big data. To address this challenge, this study proposes a BDAC model drawing on the resource-based theory (RBT) and the entanglement view of sociomaterialism. The findings show BDAC as a hierarchical model, which consists of three primary dimensions (i.e., management, technology, and talent capability) and 11 subdimensions (i.e., planning, investment, coordination, control, connectivity, compatibility, modularity, technology management knowledge, technical knowledge, business knowledge and relational knowledge). The findings from two Delphi studies and 152 online surveys of business analysts in the U.S. confirm the value of the entanglement conceptualization of the higher-order BDAC model and its impact on FPER. The results also illuminate the significant moderating impact of analytics capability-business strategy alignment on the BDAC-FPER relationship. Disciplines Business Publication DetailsAkter, S., Fosso Wamba, S., Gunasekaran, A.

Data Science as an Innovation Challenge: From Big Data to Value Proposition

“…This covers aspects as roles and responsibilities, team structures, leading analytics teams, or the organizational embedding of analytics units in the organization. The results of this work should be linked to the extensive research on analytics capability, which are often classified along the dimensions of management, technology, and human capability (Akter et al, 2016;Mikalef et al, 2017). Throughout the process, as introduced in this work, the understanding of analytics becomes clearer.…”

“…Much literature addresses the technical and methodical implementation, the transformative strength of big data (Wamba et al, 2015), the enhancement of firm performance by building analytics capability (Akter et al, 2016;Wamba et al, 2015), or other managerial issues (Davenport & Harris, 2007;McAfee et al, 2012). Little work covers the transformation process from first ideas to ready analytics applications or in building analytics competence.…”

Theoretical Aspect In Formulating Assesment Model Of Big Data Analytics Environment

“…The components of organizational di-mension are including big data analytics strategy, top management support, resource commitment and organizational relationship [2][3][4][5][6][7]. Meanwhile, the people components are consisting of the analytics skills, managerial skills and analytics cultures [6][7][8]. The components of technology di-mension are including data infrastructures, information processing and information quality [6,7,9].…”

“…Meanwhile, the people components are consisting of the analytics skills, managerial skills and analytics cultures [6][7][8]. The components of technology di-mension are including data infrastructures, information processing and information quality [6,7,9]. The implementation of BDA in the organization can be involved many theories to be apply.…”

Pricing Strategies of a Three-Stage Supply Chain: A New Research in the Big Data Era

“…Furthermore, in the process of using Big Data to make decision, the quality of data collection, analysis, and transmission would affect the decision quality [14]. Meanwhile, Big Data analysis ability had also effects on supply chain performance and organization benefits [15][16][17]. Hofmann discussed the ability of Big Data on improving some supply chain processes [18].…”