@article{f740c051a98d4b70918d3890103b1628,
title = "Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture",
abstract = "In the present digital environment, a data-driven organizational culture has become a vital emerging driver of organizational growth. This data-driven culture has assumed an advanced shape due to adoption of artificial intelligence (AI) integrated business analytics tools in the organization. Data-driven culture in the organization could considerably impact product innovation strategy as well as organizational process alteration. In this context, the aim of this study is to investigate how an organization{\textquoteright}s data-driven culture impacts process performance and product innovation that led to enhanced organizational overall performance and higher business value. Methodologically, supported by relevant extant literature and inputs from the resource-based view and dynamic capability theories (organizational context), a conceptual model and a set of hypotheses are initially developed. These are subsequently statistically validated through a survey involving 513 usable responses from employees of different organizations using business analytics tools embedded with AI capability. The findings demonstrate that an organizational data-driven culture has considerable moderating impact on product innovation and process improvement, which ultimately enhance business value through improved organizational overall performance.",
keywords = "Business analytics, Business value, Data acquisition, Data-driven culture, Organizational performance, Product innovation",
author = "Ranjan Chaudhuri and Sheshadri Chatterjee and Demetris Vrontis and Alkis Thrassou",
note = "Funding Information: The results show that OES impacts both BPP and PIN, and the two concerned hypotheses H4 and H5 have been supported after validation. This concept also received support from earlier studies (Bichler et al., ) and this concept is also supported by absorptive capacity theory. The study of Bichler et al. () analyzed how BA and data science could improve the business performance of an organization. This concept led us to investigate how scanning abilities of organizations could improve product and process innovation. Studies reveal that BPP and PIN impact on OP, and as such H6 and H7 have been supported after validation. Both these hypotheses were also supplemented in other studies (Appelbaum et al., ; Larson & Chaung, ). Appelbaum et al. () provided the idea that BA could impact the managerial approach to improve organizational performance, and Larson and Chaung () highlighted how BA could impact innovation to improve organizational performance. These two studies helped us to develop the idea that process performance and product innovation have considerable impact on the performance of the organizations. The study transpires that OP impacts BV. This concept has also been supported by Duan et al. (), who showed how BA could impact innovation. This provided us with the impetus to investigate how innovation could improve performance, thus impacting business value. Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2021",
doi = "10.1007/s10479-021-04407-3",
language = "English",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer Netherlands",
}
