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

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

doi:10.1080/13602381.2020.1759300

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

Abstract

Globalization and a keen interest in big data have directed the firms to develop and utilize big data analytics (BDA) to bring technological innovation (TI) and enhance firm productivity. Using resource-based view theory (RBVT), we intend to predict TI and SMEs’ performance through BDA. Therefore, we recruited 312 Chinese SMEs’ officials using survey methods. The proposed model and structural associations were examined in AMOS. The findings suggest that BDA (predictive-and-prescriptive) is positively related to TI (product-and-process) and SMEs’ performance. Moreover, TI (product-and-process) mediates the relationship between BDA and SMEs performance. Finally, the study discussion and implications are recorded.

Original language	English
Pages (from-to)	537-562
Number of pages	26
Journal	Asia Pacific Business Review
Volume	26
Issue number	5
DOIs	https://doi.org/10.1080/13602381.2020.1759300
State	Published - Nov 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Keywords

China SMEs
Firm productivity
big data
resource-based view
technological innovation

ASJC Scopus subject areas

Business and International Management

Access to Document

10.1080/13602381.2020.1759300

Cite this

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

abstract = "Globalization and a keen interest in big data have directed the firms to develop and utilize big data analytics (BDA) to bring technological innovation (TI) and enhance firm productivity. Using resource-based view theory (RBVT), we intend to predict TI and SMEs{\textquoteright} performance through BDA. Therefore, we recruited 312 Chinese SMEs{\textquoteright} officials using survey methods. The proposed model and structural associations were examined in AMOS. The findings suggest that BDA (predictive-and-prescriptive) is positively related to TI (product-and-process) and SMEs{\textquoteright} performance. Moreover, TI (product-and-process) mediates the relationship between BDA and SMEs performance. Finally, the study discussion and implications are recorded.",

keywords = "China SMEs, Firm productivity, big data, resource-based view, technological innovation",

author = "Hamza Saleem and Yongjun Li and Zulqurnain Ali and Aqsa Mehreen and Mansoor, \{Muhammad Salman\}",

note = "Publisher Copyright: {\textcopyright} 2020 Informa UK Limited, trading as Taylor \& Francis Group.",

year = "2020",

month = nov,

doi = "10.1080/13602381.2020.1759300",

language = "English",

volume = "26",

pages = "537--562",

number = "5",

}

TY - JOUR

T1 - An empirical investigation on how big data analytics influence China SMEs performance

T2 - do product and process innovation matter?

AU - Saleem, Hamza

AU - Li, Yongjun

AU - Ali, Zulqurnain

AU - Mehreen, Aqsa

AU - Mansoor, Muhammad Salman

PY - 2020/11

Y1 - 2020/11

N2 - Globalization and a keen interest in big data have directed the firms to develop and utilize big data analytics (BDA) to bring technological innovation (TI) and enhance firm productivity. Using resource-based view theory (RBVT), we intend to predict TI and SMEs’ performance through BDA. Therefore, we recruited 312 Chinese SMEs’ officials using survey methods. The proposed model and structural associations were examined in AMOS. The findings suggest that BDA (predictive-and-prescriptive) is positively related to TI (product-and-process) and SMEs’ performance. Moreover, TI (product-and-process) mediates the relationship between BDA and SMEs performance. Finally, the study discussion and implications are recorded.

AB - Globalization and a keen interest in big data have directed the firms to develop and utilize big data analytics (BDA) to bring technological innovation (TI) and enhance firm productivity. Using resource-based view theory (RBVT), we intend to predict TI and SMEs’ performance through BDA. Therefore, we recruited 312 Chinese SMEs’ officials using survey methods. The proposed model and structural associations were examined in AMOS. The findings suggest that BDA (predictive-and-prescriptive) is positively related to TI (product-and-process) and SMEs’ performance. Moreover, TI (product-and-process) mediates the relationship between BDA and SMEs performance. Finally, the study discussion and implications are recorded.

KW - China SMEs

KW - Firm productivity

KW - big data

KW - resource-based view

KW - technological innovation

UR - https://www.scopus.com/pages/publications/85084254126

U2 - 10.1080/13602381.2020.1759300

DO - 10.1080/13602381.2020.1759300

M3 - Article

AN - SCOPUS:85084254126

SN - 1360-2381

VL - 26

SP - 537

EP - 562

JO - Asia Pacific Business Review

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IS - 5

ER -

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

Abstract

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

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