A structural equation modelling evaluation of antecedents and interconnections of call centre agents’ intention to quit

dc.contributor.authorIwu, Chux Gervase
dc.contributor.authorOpute, Abdullah Promise
dc.contributor.authorAliyu, Olayemi Abdullateef
dc.contributor.authorEresia-Eke, Chukuakadibia E.
dc.contributor.authorMusikavanhu, Tichaona Buzy
dc.contributor.authorJaiyeola, Afeez Olalekan
dc.contributor.emailchuks.eresia-eke@up.ac.zaen_US
dc.date.accessioned2022-05-05T09:10:51Z
dc.date.available2022-05-05T09:10:51Z
dc.date.issued2021-04-13
dc.description.abstractCall centers play a significant role in the operational dynamics of different types of businesses. This is especially the case because a call center agent’s demeanor can impair or engender customer satisfaction, which has ramifications for business patronage. Unfortunately, the pressures associated with the role of the call center agent have made staff attrition a norm in the industry. While this does not augur well for the call center or the organizations that they serve, the role of possible antecedents in the equation of staff attrition in South African call centers remains largely unexplored. Using a structural equation modeling approach, this study examined the interconnections between customer orientation, knowledge management, job satisfaction, and employees’ intention to quit. Additionally, the mediating influence of job satisfaction on the association between customer orientation and knowledge management of the intention to quit is examined. This study found significant relationships between knowledge management, customer orientation, and job satisfaction and the dependent variable (intention to quit). In addition, this study establishes that the extent to which job satisfaction may mediate the influence on the intention to quit hinges on the organizational element considered. Two factors limit the extent to which the findings from this study can be generalized. First, this study focused on the call center setting in South Africa. Second, convenience sampling was used in this study. This study points to critical operational practices that call center managers can embrace toward enhancing job satisfaction and reducing intention to quit propensity. Using structural equation analysis, we contend that call centers in the South African setting would effectively address staff attrition if appropriate organizational practices are endorsed toward ensuring employee job satisfaction.en_US
dc.description.departmentBusiness Managementen_US
dc.description.librarianam2022en_US
dc.description.urihttps://www.mdpi.com/journal/jrfmen_US
dc.identifier.citationIwu, Chux Gervase, Abdullah Promise Opute, Olayemi Abdullateef Aliyu, Chukuakadibia Eresia-Eke, Tichaona Buzy Musikavanhu, and Afeez Olalekan Jaiyeola. 2021. A Structural Equation Modelling Evaluation of Antecedents and Interconnections of Call Centre Agents’ Intention to Quit . Journal of Risk and Financial Management 14: 179. https://DOI.org/10.3390/jrfm14040179.en_US
dc.identifier.issn1911-8066 (print)
dc.identifier.issn1911-8074 (online)
dc.identifier.other10.3390/jrfm14040179
dc.identifier.urihttps://repository.up.ac.za/handle/2263/85088
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.subjectCustomer orientationen_US
dc.subjectKnowledge managementen_US
dc.subjectJob satisfactionen_US
dc.subjectEmployee turnoveren_US
dc.subjectIntention to quiten_US
dc.subjectCall centeren_US
dc.subjectRisk managementen_US
dc.titleA structural equation modelling evaluation of antecedents and interconnections of call centre agents’ intention to quiten_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Iwu_Structural_2021.pdf
Size:
1.82 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: