Toward the development of a big data analytics capability

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].…”

Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making

“…BDA elements such as management capability, other capability, BDA quality and perceived benefits were the least discussed elements in the empirical studies as they were considered still in their infancy stage in the big data environment. Intensity of organizational learning • Intensity of organizational learning [16] Perceived benefits • Perceived benefit of external data usage • Perceived benefit of internal data usage [20] Drawing on RBV theory and ISSM, big data analytics implementation assessment is conceptualized and being determined by three dimensions: organization, people and technology. Performing data strategy factor is an important criteria in organization dimension.…”

“…For example, Akter et al, 2016 [7] and Wamba et al, 2017 [15] pointed out that BDA capabilities covers management, talent and technology dimensions that positively influenced the organizational performance. Likewise, empirical findings by Gupta and colleague, 2016 [16] provided evidence on tangible, human skills and intangible resources supported by the BDA capabilities that led to market and operational performance.…”

“…The second concept mainly used the context in health care, where BDA capabilities is regarded as having the ability to acquire, store, process and analyze a large amount of health data in various forms, and deliver meaningful information to users that allow them to discover business values and insights in a timely fashion [2]. The third concept used BDA capability to assemble, integrate, and deploy its big data-based resources in big firms [16]. This study points out the BDA capabilities factors as shown in Table I that includes management capability, organizational capability, technology capability, talent capability (data analytics personnel expertise), information processing capability and other related capabilities.…”

“…Table II listed factors and variables for tangible and intangible resources discussed in BDA studies. The big data analytic capability model developed by Gupta and George (2016) [16] equally relies on tangibles resources such as data, technology, basic resources, and intangibles resources such as datadriven culture and intensity of organizational learning. Furthermore, intangible resources also include perceived benefits of external and internal data usage [20].…”