Electronic Journal of Knowledge Management

Job Crafting Antecedents and Consequences: Evidence from Jordanian Universities

Yahya Melhem — 2023-11-14

Purpose - This article explores academic job crafting's significant conditions (antecedents and consequences). The impact of encouraging learning environments and the leadership that fortifies learning was studied. Knowledge management and job crafting are closely related in their ability to empower employees and enhance organizational effectiveness. Design/methodology/approach –217 academics serving in a Jordanian University, in Jordan, took part in this study. Statistical parameters endorsed the significant impact of two learning organization building blocks on job crafting. Findings - It was shown that supportive learning environments and leadership reinforces learning; and positively impacts job crafting, which consequently reflects upon job satisfaction levels among academics. The results imply that strategies conducive to learning provide the most rewarding approach to enhancing academic job crafting and job satisfaction. Originality/value – To the authors’ knowledge, no prior study has examined job crafting and linked it to the study dimensions within the Arab context generally and particularly in the academic field. We propose this model as a system crafting theory and end our research with suggestions for further research on these issues.

Keywords: Job crafting, job satisfaction, learning organization, academic organization, supportive learning environment, leadership support, Jordan.

Assessing the Success of Village Asset Management Systems: An Employee Perspective

Julita Nur Amanda — 2023-11-20

This study aims to examine the success of Village Asset Management Systems (VAMS). The measurement uses the Delone McLean success model (D&M model), which provides six interrelated dimensions of information system success: system quality, information quality, service quality, intention to use, user satisfaction, and net benefits. 112 respondents who had used the VAMS application were surveyed, and data was analyzed using the structural equation modeling (SEM) technique. We find that information quality, system quality, and service quality are significant determinants to increase the VAMS application's user satisfaction. The intention to use positively impacts user satisfaction of the VAMS application. Furthermore, both intention to use and user satisfaction effectively increase the net benefits of the VAMS application. On the other hand, although system quality has no impact on the intention to use VAMS applications, interestingly, when we did a split sample test based on the knowledge transfer method in the VAMS implementation process, all dimensions on the D&M model were well-proven and validated. Finally, this study also demonstrates that information quality and service quality positively affect intentions to use the VAMS application in the context of a mandatory government information system.

Knowledge Collaboration Among Fashion Designers: An A Priori Conceptual Model

Sunil Bhalla — 2023-11-27

Whilst collaboration from the branding and marketing perspective for the fashion industry is well documented, little is known about the knowledge collaboration (KC) of fashion designers, and how information and communication technology (ICT) is involved within their Communities of Practice (CoPs). This paper proposes an a priori conceptual model to enable the examination of KC among fashion designers within their CoPs. It aims to interlink the concepts of KC, CoPs, and ICT to understand fashion designers in their social learning reality. In that regard, the a priori conceptual model addresses three broad research questions: 1) How do fashion designers collaborate? 2) How do they participate within their professional communities? And 3) Does ICT play a role? The concepts used in the a priori conceptual model will be interlinked with specific indicators extracted from past studies. Since past studies had not focused on this area of research before, future studies can benefit from the a priori conceptual model by applying it to examine KC within CoPs of fashion designers or other groups.