IMPACT OF THE MAIN WORKPLACE COMPONENTS ON EMPLOYEE SATISFACTION AND PERFORMANCE IN THE CONTEXT OF DIGITALIZATION

被引:1
|
作者
Cizmic, Elvir [1 ]
Rahimic, Zijada [1 ]
Sestic, Munira [1 ]
机构
[1] Univ Sarajevo, Sch Econ & Business, Trg oslobodenja Alija Izetbegovic 1, Sarajevo 71000, Bosnia & Herceg
来源
ZBORNIK VELEUCILISTA U RIJECI-JOURNAL OF THE POLYTECHNICS OF RIJEKA | 2023年 / 11卷 / 01期
关键词
Digitalization; Technical System; Work Assignment; Worker Features; Satisfaction and Performance; JOB CHARACTERISTICS MODEL; PUBLIC-SECTOR; INFORMATION; TECHNOLOGY; STRESS;
D O I
10.31784/zvr.11.1.4
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
引用
收藏
页码:49 / 68
页数:20
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