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Pull and push factors of data analytics adoption and its mediating role on operational performance

Despite the influx of data analytics (DA) practices among firms, their impact on operational performance remains ambiguous. This study examined the pull and push factors affecting the data analytics adoption (DAA) from the theoretical perspectives of the technology–organization–environment (TOE) mod...

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Main Authors: Chong, Luther Yuong Qai, Lim, Thien Sang
Format: Article
Language:English
Published: MDPI 2022
Subjects:
HB1-3840 Economic theory. Demography
HC10-1085 Economic history and conditions
Online Access:https://eprints.ums.edu.my/id/eprint/42374/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42374/
https://doi.org/10.3390/su14127316
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spelling my.ums.eprints.423742024-12-23T03:20:46Z https://eprints.ums.edu.my/id/eprint/42374/ Pull and push factors of data analytics adoption and its mediating role on operational performance Chong, Luther Yuong Qai Lim, Thien Sang HB1-3840 Economic theory. Demography HC10-1085 Economic history and conditions Despite the influx of data analytics (DA) practices among firms, their impact on operational performance remains ambiguous. This study examined the pull and push factors affecting the data analytics adoption (DAA) from the theoretical perspectives of the technology–organization–environment (TOE) model, theory of perceived risk (TPR), and resource-based view (RBV). The study analyzed data from 169 firms on the basis of the positivist paradigm and employed the partial least square to run the reflective–formative two-stage analysis. Accordingly, the results indicated that the three TOE model aspects exhibited a positive direct impact on DAA and indirectly impacted operational performance through DAA. However, the perceived risk did not display a similar effect in both situations. This study further revealed that the environment push factor had more explanatory power than the perceived risk pull factor, suggesting that a conducive TOE environment would motivate DAA, subsequently enhancing operational performance. The study provided valuable empirical evidence on the determinants of DAA and its subsequent effect on firms’ operational performance. Uniquely, the study also contributed to the literature from the perspective of higher-order-construct analysis in examining the determinants of DAA and its effect on operational performance. Furthermore, the mediation analysis covered the interaction of indirect-path coefficients, minimizing errors in interpreting the mediation effect. MDPI 2022 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42374/1/FULL%20TEXT.pdf Chong, Luther Yuong Qai and Lim, Thien Sang (2022) Pull and push factors of data analytics adoption and its mediating role on operational performance. Sustainability, 14. pp. 1-19. https://doi.org/10.3390/su14127316
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic HB1-3840 Economic theory. Demography
HC10-1085 Economic history and conditions
spellingShingle HB1-3840 Economic theory. Demography
HC10-1085 Economic history and conditions
Chong, Luther Yuong Qai
Lim, Thien Sang
Pull and push factors of data analytics adoption and its mediating role on operational performance
description Despite the influx of data analytics (DA) practices among firms, their impact on operational performance remains ambiguous. This study examined the pull and push factors affecting the data analytics adoption (DAA) from the theoretical perspectives of the technology–organization–environment (TOE) model, theory of perceived risk (TPR), and resource-based view (RBV). The study analyzed data from 169 firms on the basis of the positivist paradigm and employed the partial least square to run the reflective–formative two-stage analysis. Accordingly, the results indicated that the three TOE model aspects exhibited a positive direct impact on DAA and indirectly impacted operational performance through DAA. However, the perceived risk did not display a similar effect in both situations. This study further revealed that the environment push factor had more explanatory power than the perceived risk pull factor, suggesting that a conducive TOE environment would motivate DAA, subsequently enhancing operational performance. The study provided valuable empirical evidence on the determinants of DAA and its subsequent effect on firms’ operational performance. Uniquely, the study also contributed to the literature from the perspective of higher-order-construct analysis in examining the determinants of DAA and its effect on operational performance. Furthermore, the mediation analysis covered the interaction of indirect-path coefficients, minimizing errors in interpreting the mediation effect.
format Article
author Chong, Luther Yuong Qai
Lim, Thien Sang
author_facet Chong, Luther Yuong Qai
Lim, Thien Sang
author_sort Chong, Luther Yuong Qai
title Pull and push factors of data analytics adoption and its mediating role on operational performance
title_short Pull and push factors of data analytics adoption and its mediating role on operational performance
title_full Pull and push factors of data analytics adoption and its mediating role on operational performance
title_fullStr Pull and push factors of data analytics adoption and its mediating role on operational performance
title_full_unstemmed Pull and push factors of data analytics adoption and its mediating role on operational performance
title_sort pull and push factors of data analytics adoption and its mediating role on operational performance
publisher MDPI
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/42374/1/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42374/
https://doi.org/10.3390/su14127316
_version_ 1819911291457765376
score 13.223943

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