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

Abstract

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.

Big Data Capability and Sustainable Competitive Advantage: The Mediating Role of Ambidextrous Innovation Strategy

“…The results support Bag et al's [54] and Hao et al's [10] view (that "enterprises cultivate a high level of BDCs for management support in order to shape sustainable performance"), which broadens the meaning ascribed to the internalization of BDCs into organizations. Additionally, in contrast to previous research that focused on the impact of BDC on organizational performance [4,6], supply chain performance [7,8], organizational innovation [9][10][11], strategic decision-making [12,13] and competitive advantage [14][15][16], this study asserts that SCA is linked to an enterprise's survival and sustainability, and proposes that it is a critical representational element that will enable businesses to shape their core competences, improve organizational performance and achieve long-term devel-opment. The research also adds further exploration of how decision-makers take advantage of data and analytical capabilities to activate and generate competitive advantage [14].…”

“…Most studies have primarily focused on the definition, measurements and dimensions of big data-related capabilities, and have also addressed their effects on organizational performance [4][5][6], supply chain performance [7,8], organizational innovation [9][10][11], strategic decision-making [12,13] and competitive advantage [14][15][16]. Some researchers have dynamically and systematically taken BDC into account with the Dynamic Capability Theory [3,9] framework to further clarify the mechanism for transforming BDC into organizational actions and operational value.…”

A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy

“…Along with increasing proficiency in sustainable design, 'Data Science' capability also directly enhances sustainable growth and performance (Zhang et al 2020 ). ‘Data Science’ increases sustainable innovativeness in organizations as a measure of successful new product development (Song et al 2020 ). For sustainable development, assessing the readiness of organizations to adopt 'Data Science' on the temporal dimension is important (Olszak and Mach-Król 2018 ).…”

Big data and innovative organizational performance: Evidence from a moderated‐mediated model

“…In this context, in the literature on innovation, information processing theory suggests that the adequacy between information processing requests and information processing capacities is essential (Galbraith, 1974; Peng et al, 2014). It anticipates that the business will obtain more enduring organizational benefits when there is an adjustment between a business's data requests and its data processing capability (Song et al, 2020). By using big data, businesses are using BDAC to create the environment for more robust, IOP with a moderate knowledge‐sharing effect.…”