Big data analytics capability for digital transformation in the insurance sector

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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Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms

Technological Forecasting and Social Change ◽

10.1016/j.techfore.2020.120315 ◽

2020 ◽

Vol 161 ◽

pp. 120315

Author(s):

Saqib Shamim ◽

Jing Zeng ◽

Zaheer Khan ◽

Najam Ul Zia

Keyword(s):

Decision Making ◽

Big Data ◽

Data Analytics ◽

Emerging Market ◽

Big Data Analytics ◽

Governance Mechanisms ◽

Relational Governance ◽

Emerging Market Firms ◽

Analytics Capability

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Corporate social responsibility, Green supply chain management and firm performance: The moderating role of big-data analytics capability

Research in Transportation Business & Management ◽

10.1016/j.rtbm.2020.100557 ◽

2020 ◽

Vol 37 ◽

pp. 100557 ◽

Cited By ~ 1

Author(s):

Chenxiao Wang ◽

Qingpu Zhang ◽

Wei Zhang

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Green Supply Chain Management ◽

Green Supply Chain ◽

Chain Management ◽

Corporate Social ◽

Moderating Role ◽

Analytics Capability

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Artificial intelligence and machine learning: changing paradigm in diagnostics and imaging

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20195940 ◽

2019 ◽

Vol 8 (1) ◽

pp. 382

Author(s):

Rahul Badwaik

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Healthcare Setting ◽

Digital Transformation ◽

Current Status ◽

Healthcare Industry ◽

Review Of The Literature

Healthcare industry is currently undergoing a digital transformation, and Artificial Intelligence (AI) is the latest buzzword in the healthcare domain. The accuracy and efficiency of AI-based decisions are already been heard across countries. Moreover, the increasing availability of electronic clinical data can be combined with big data analytics to harness the power of AI applications in healthcare. Like other countries, the Indian healthcare industry has also witnessed the growth of AI-based applications. A review of the literature for data on AI and machine learning was conducted. In this article, we discuss AI, the need for AI in healthcare, and its current status. An overview of AI in the Indian healthcare setting has also been discussed.

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Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance

Sustainability ◽

10.3390/su11247145 ◽

2019 ◽

Vol 11 (24) ◽

pp. 7145 ◽

Cited By ~ 6

Author(s):

Shengbin Hao ◽

Haili Zhang ◽

Michael Song

Keyword(s):

Big Data ◽

Empirical Research ◽

Data Analytics ◽

Big Data Analytics ◽

The United States ◽

Innovation Performance ◽

Sales Growth ◽

Gross Margin ◽

Innovation Projects ◽

Analytics Capability

Literature suggests that big data is a new competitive advantage and that it enhance organizational performance. Yet, previous empirical research has provided conflicting results. Building on the resource-based view and the organizational inertia theory, we develop a model to investigate how big data and big data analytics capability affect innovation success. We show that there is a trade-off between big data and big data analytics capability and that optimal balance of big data depends upon levels of big data analytics capability. We conduct a four-year empirical research project to secure empirical data on 1109 data-driven innovation projects from the United States and China. This research is the first time reporting the empirical results. The study findings reveal several surprising results that challenge traditional views of the importance of big data in innovation. For U.S. innovation projects, big data has an inverted U-shaped relationship with sales growth. Big data analytics capability exerts a positive moderating effect, that is, the stronger this capability is, the greater the impact of big data on sales growth and gross margin. For Chinese innovation projects, when big data resource is low, promoting big data analytics capability increases sales growth and gross margin up to a certain point; developing big data analytics capability beyond that point may actually inhibit innovation performance. Our findings provide guidance to firms on making strategic decisions regarding resource allocations for big data and big data analytics capability.

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