Enhancing organizational sustainable innovation performance through organizational readiness for big data analytics.
Organizations must employ big data analytics to maintain sustained innovation in the highly dynamic and evolving business landscape. Even though BDA has a transformative power to revolutionize how businesses do things and engage with their customers' adopting BDA has faced significant challenges, es...
| Publicado en: | Humanities & Social Sciences Communications Vol. 11; no. 1; pp. 1 - 16 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
7/23/2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=178594010&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 178594010 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: MVR0 jtl: Humanities & Social Sciences Communications maglogo: N pubinfo: dt: 7/23/2024 vid: 11 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 178594010 10.1057/s41599-024-03424-4 ppf: 1 ppct: 15 formats: tig: atl: Enhancing organizational sustainable innovation performance through organizational readiness for big data analytics. aug: au: Arshad, Muhammad Qadir, Aneela Ahmad, Waqar Rafique, Muhammad affil: https://ror.org/04rhev598 Business school, Yunnan University of Finance and Economics, 650221, Kunming, China https://ror.org/0546x0d08 School of digital economics and trade, Guangzhou Huashang College, 511300, Guangzhou, China https://ror.org/04g0mqe67 University of Central Punjab, Lahore, Pakistan https://ror.org/017zhmm22 School of Public Policy and Administration, Xian Jiaotong University Xian, 710049, Xian, China su: Preparedness Big data Organizational performance Structural equation modeling Sampling errors Developing countries sug: subj: Preparedness Big data Organizational performance Structural equation modeling Sampling errors Developing countries ab: Organizations must employ big data analytics to maintain sustained innovation in the highly dynamic and evolving business landscape. Even though BDA has a transformative power to revolutionize how businesses do things and engage with their customers' adopting BDA has faced significant challenges, especially in developing countries. This research aims to create a theoretical framework to understand how organizational readiness for BDA can influence sustainable innovation performance. Sampling errors were mitigated through a time-lagged study design, and the data was collected in three phases. The test results using Partial Least Squares Structural Equation Modeling show that organizational readiness is a critical mediator, establishing a robust chain between BDA skills and sustainable innovation performance. The results of this study imply the need for organizational foundation and alignment, which are critical to the compelling strategic deployment of BDA for sustainability innovation performance. Thus, this study can offer a valuable contribution to this topic in the future and a profound implication of the phenomenon at receptive stages. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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