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https://doi.org/10.31784/zvr.11.1.4

Impact of the main workplace components on employee satisfaction and performance in the context of digitalization

Elvir Čizmić orcid id orcid.org/0000-0002-1055-9284 ; University of Sarajevo, School of Economics and Business, Sarajevo, Bosnia and Herzegovina
Zijada Rahimić orcid id orcid.org/0000-0002-0191-0490 ; University of Sarajevo, School of Economics and Business, Sarajevo, Bosnia and Herzegovina
Munira Šestić orcid id orcid.org/0000-0002-4389-0758 ; University of Sarajevo, School of Economics and Business, Sarajevo, Bosnia and Herzegovina


Puni tekst: engleski pdf 393 Kb

str. 49-68

preuzimanja: 215

citiraj


Sažetak

In the time of digitalization within the framework of the fourth technological revolution, it is necessary to return the human being to the first place in the science of management. Men and women as the performers of activities should be on the pedestal of all modern processes that take place in society and business, to avoid the problem in which the society was “trapped“, during the previous industrial revolutions. The application of information technology in general and artificial intelligence in particular affects the design and content of the main components of job design, which inevitably leads to a reflection on the satisfaction and performance of employees at the workplace. The paper aims to explore the impact of specific workplace components on employee satisfaction and performance, further recognizing which components contribute the most in the context of digitalization and 4IR. From Hackman and Oldham’s job design theory and Mintzberg’s organizational structure framework, we propose and test a research framework that investigated the impact of technical system, work assignment and worker features on employee satisfaction and performance in a contemporary context. The research was conducted in Bosnia and Herzegovina on a random sample of 125 respondents from public and private sector organizations,
different industries and companies’ sizes. The analysis was realized through hierarchical multiple linear regression model and the key findings revealed that the task and knowledge characteristics of artificial intelligence-enabled jobs are vitally important for inducing innovative work behaviour among employees.

Ključne riječi

Digitalization; Technical System; Work Assignment; Worker Features; Satisfaction and Performance

Hrčak ID:

302822

URI

https://hrcak.srce.hr/302822

Datum izdavanja:

31.5.2023.

Podaci na drugim jezicima: hrvatski

Posjeta: 570 *