{"title":"A socio-cognitive theorisation of how data-driven digital transformation affects operational productivity?","authors":"","doi":"10.1016/j.ijpe.2024.109403","DOIUrl":null,"url":null,"abstract":"<div><p>The literature on the antecedents of successful data-driven digital transformations needs clarity on if and how employees' cognitions and behaviours have any bearing on data-driven digital transformations with implications for operational productivity. This paper addresses this gap by drawing on socio-cognitive theory to examine how employees' cognitions (psychological safety) shape individual behaviours (employee-led process improvement) to affect organisational attainments such as data-driven digital transformations and operational productivity. A theoretical framework linking psychological safety to operational productivity through individual and serial mediations of ‘employee-led process improvement' and ‘data-driven digital transformation’ is statistically tested by collecting survey data from 183 healthcare providers in Australia. The results indicate that when employees' perceptions of interpersonal risks are allayed (psychological safety), it has a significant positive effect on operational productivity directly and indirectly through the individual and serial mediations of employee-led process improvement and data-driven digital transformations. The socio-cognitive theorisation of psychological safety as the driving mechanism that facilitates employee-led process improvement, data-driven digital transformation and operational productivity is a first in the academic literature with implications for both theory and practice.</p></div>","PeriodicalId":14287,"journal":{"name":"International Journal of Production Economics","volume":null,"pages":null},"PeriodicalIF":9.8000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0925527324002603/pdfft?md5=440b0d23f1027c8e959a94e87a6416d6&pid=1-s2.0-S0925527324002603-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Production Economics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0925527324002603","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
The literature on the antecedents of successful data-driven digital transformations needs clarity on if and how employees' cognitions and behaviours have any bearing on data-driven digital transformations with implications for operational productivity. This paper addresses this gap by drawing on socio-cognitive theory to examine how employees' cognitions (psychological safety) shape individual behaviours (employee-led process improvement) to affect organisational attainments such as data-driven digital transformations and operational productivity. A theoretical framework linking psychological safety to operational productivity through individual and serial mediations of ‘employee-led process improvement' and ‘data-driven digital transformation’ is statistically tested by collecting survey data from 183 healthcare providers in Australia. The results indicate that when employees' perceptions of interpersonal risks are allayed (psychological safety), it has a significant positive effect on operational productivity directly and indirectly through the individual and serial mediations of employee-led process improvement and data-driven digital transformations. The socio-cognitive theorisation of psychological safety as the driving mechanism that facilitates employee-led process improvement, data-driven digital transformation and operational productivity is a first in the academic literature with implications for both theory and practice.
期刊介绍:
The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.