An empirical investigation on how big data analytics influence China SMEs performance: do product and process innovation matter?

Saleem, Hamza; Li, Yongjun; Ali, Zulqurnain; Mehreen, Aqsa; Mansoor, Muhammad Salman

doi:10.4324/9781003216896-2

Cited by 14 publications

(20 citation statements)

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“…This research reported that BDU and BSA have a significant positive impact on a firm's RI, which is in line with the study of For es and Camis on (2016), Hao et al (2019), Kiani et al (2019) and Saleem et al (2020). For es and Camis on (2016) concluded that knowledge accumulation capabilities and absorptive capability have a positive influence on a firm's radical as well as incremental innovation.…”

Section: Discussionsupporting

confidence: 86%

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The trickle-down effect of big data use to predict organization innovation: the roles of business strategy alignment and information sharing

Wang

Ali

Mehreen

et al. 2022

JEIM

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PurposeIn this age of digitalization, organizations are generating large data from the organizations' manufacturing processes that are valuable for capturing a competitive edge. Chinese small and medium enterprises (SMEs) can bring organizations radical innovation by investing in innovation projects (i.e. big data use; BDU) using the SMEs' scarce resources. Thus, the authors' research aims to predict Chinese SMEs' radical innovation (RI) through BDU using the theoretical lenses of the resource-based view. Moreover, the authors' study also pursues to realize the undermining mediating process of business strategy alignment (BSA) and the buffering role of information sharing in BDU–RI linkage.Design/methodology/approachIn total, 297 Chinese SMEs entrepreneurs and managers were recruited from the Yangtze River Economic Belt, China using a survey approach. In Mplus 7.4, the authors tested the proposed hypotheses.FindingsThe sample of 297 shows that BDU is directly and indirectly (via BSA) related to RI. Further, information sharing moderates the linkage between BDU and BSA and BSA and RI. The association between BSA and RI is only significant and stronger when information sharing is high.Practical implicationsThis research is beneficial for SME entrepreneurs/managers to enhance the understanding of BDU, eliminate challenges of BSA via BDU and align business strategies to bring RI to Chinese SMEs.Originality/valueSMEs always search for new ways to enhance SMEs' productivity using scarce resources. This is the first research that advances big data and innovation literature by predicting firm RI through BDU using a resource-based view. Moreover, this study is novel because the study investigates the mediation role of BSA and the moderating role of information sharing in the linkage between BDU and firm RI in Chinese SMEs.

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Section: Discussionsupporting

confidence: 86%

“…(2019) mentioned that big data capabilities assist firms to align their business strategies and realize the best performance properly. Similarly, Saleem et al. (2020) highlighted that BDU is a significant resource for a firm to bring product and process innovation, which in turn enhances firm supply chain performance.…”

Section: Introductionmentioning

confidence: 99%

The trickle-down effect of big data use to predict organization innovation: the roles of business strategy alignment and information sharing

Wang

Ali

Mehreen

et al. 2022

JEIM

View full text Add to dashboard Cite

show abstract

“…The second category is performance, which consists of financial performance, innovation performance, marketing performance, and international performance. (Gnizy, 2019;Saleem et al, 2021a;Saleem et al, 2021b;Vitari & Raguseo, 2020;Wibowo et al, 2021a), production efficiency (Hwang & Kim, 2022), supply chain efficiency (Saleem et al, 2021a), and customer satisfaction (Vitari & Raguseo, 2020). These studies show that big data adoption improves financial performance, innovation performance, marketing performance, and international performance.…”

Section: Outcomes Of Big Data Adoptionmentioning

confidence: 94%

“…Olabode et al (2022) studied enterprises in England and found that disruptive business models partially mediated the relationship between big data analysis ability and market performance. In the Chinese emerging market, big data predictive and prescriptive analytics bring product and process innovation to enterprises, further improving firm performance (Saleem et al, 2021b). Wibowo et al (2021b) confirmed that innovation capability and value creation play a mediating role between big data and market performance by studying Indonesian SMEs.…”

Section: Organizational Innovationmentioning

confidence: 99%

Big Data in Entrepreneurship

Shan

Liu

Gao

et al. 2022

Journal of Organizational and End User Computing

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Entrepreneurship research is paying increasing attention to big data. However, there is only a fragmented understanding on how big data influences entrepreneurial activities. To review previous research systematically and quantitatively, the authors use bibliometrics method to analyze 164 research articles on big data in entrepreneurship. They visualize the landscape of these studies, such as publication year, country, and research area. They then use VOSviewer to conduct theme clustering analysis, finding four themes, namely the COVID-19 pandemic and small medium enterprise (SME) digitization, application of big data analytics to decision making, application of big data in platform, and the effects of big data on enterprises. In addition, they construct an integrated framework that integrates the antecedents of big data adoption and influence mechanism of big data on entrepreneurial activities.

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“…Furthermore, the ability of Asian OECD and LMIC societies to invest in Big Data related developments is largely conditional on their overall R&D spending and health expenditures ( 1 , 5 ). Mammoth-sized Chinese private sector companies have already entered a struggle to survive and strive in Big Data competition ( 6 , 7 ). Xiaomin et al have pointed out to a great extent how ongoing Big Data legislation dynamics are highly likely to reshape the entire dynamic of marketing approvals and the reimbursement of pharmaceuticals and medical technologies ( 8 ).…”

mentioning

confidence: 99%

Editorial: Big data shaping clinical trial landscape—Greater role for pharmacoeconomics in Asia

Jakovljević

2022

Front. Public Health

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An empirical investigation on how big data analytics influence China SMEs performance: do product and process innovation matter?

Cited by 14 publications

References 0 publications

The trickle-down effect of big data use to predict organization innovation: the roles of business strategy alignment and information sharing

The trickle-down effect of big data use to predict organization innovation: the roles of business strategy alignment and information sharing

Big Data in Entrepreneurship

Editorial: Big data shaping clinical trial landscape—Greater role for pharmacoeconomics in Asia

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