Impact of COVID-19 outbreak on employee performance - Moderating role of industry 4.0 base technologies

被引:152
作者
Narayanamurthy, Gopalakrishnan [1 ]
Tortorella, Guilherme [2 ,3 ]
机构
[1] Univ Liverpool, Management Sch, Liverpool, Merseyside, England
[2] Univ Melbourne, Melbourne, Vic, Australia
[3] Univ Fed Santa Catarina, Florianopolis, SC, Brazil
关键词
COVID-19; Industry; 4; 0; Employee performance; Services; SOCIAL CONSTRUCTION; IMPLEMENTATION; MANAGEMENT; EVENTS; SOCIOLOGY; SCIENCE;
D O I
10.1016/j.ijpe.2021.108075
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
COVID-19 outbreak has implied significant changes in the way service organizations work, affecting employees? routine and activities. At the same time, the advent of Industry 4.0 (I4.0) introduced new technologies that might facilitate such activities, mitigating the COVID-19?s implications. The objective of this research is two-fold. First, we aim at examining the impact of COVID-19?s work implications on employees? performance (i.e. output quality and delivery). Second, we seek to verify the moderating role of I4.0 base technologies on this relationship. We surveyed 106 employees of different service organizations who have been working remotely during the pandemic and analyzed their responses through multivariate techniques. Results revealed that COVID-19?s work implications (i.e. home office work environment, job insecurity and virtual connection) do impact employee?s performance, although not at the same extent. Further, we found that I4.0 technologies moderate the enhancement of employee?s performance. However, the orientation and intensity of such moderation may vary according to the performance metric and work implication under analysis. As COVID-19 outbreak inevitably pushed new ways of working that can become an integral part of the post-pandemic world, our research provides important theoretical and practical implications for improving employee?s performance through the digitalization of service organizations.
引用
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页数:10
相关论文
共 73 条
[1]   ESTIMATING NONRESPONSE BIAS IN MAIL SURVEYS [J].
ARMSTRONG, JS ;
OVERTON, TS .
JOURNAL OF MARKETING RESEARCH, 1977, 14 (03) :396-402
[2]   HOW THE INDUSTRIAL INTERNET OF THINGS CHANGES BUSINESS MODELS IN DIFFERENT MANUFACTURING INDUSTRIES [J].
Arnold, Christian ;
Kiel, Daniel ;
Voigt, Kai-Ingo .
INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT, 2016, 20 (08)
[3]   Transforming to a hyper-connected society and economy - towards an "Industry 4.0" [J].
Bauer, Wilhelm ;
Haemmerle, Moritz ;
Schlund, Sebastian ;
Vocke, Christian .
6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015, 2015, 3 :417-424
[4]  
Belsley DA, 1980, REGRESSION DIAGNOSTI
[5]  
Berinato S, 2014, HARVARD BUS REV, V92, P28
[6]  
Bijker WE, 2012, The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology, DOI DOI 10.1177/030631289019001010
[7]  
Boichenko O., 2020, REDUCE PANDEMIC IMPA
[8]   Industry 4.0 in services: challenges and opportunities for value co-creation [J].
Bonamigo, Andrei ;
Frech, Camila Guimaraes .
JOURNAL OF SERVICES MARKETING, 2021, 35 (04) :412-427
[9]  
Cardella M.S., 2019, INT J OPERATIONS PRO
[10]  
Cohen B. H., 2008, EXPLAINING PSYCHOL S