Aziz Madi, Abdelrahim Alsoussi and Omar M. Shubailat
This research aims to replicate the work of Oberholster et al. (2013) on expatriation motivation through a generalization and extension replication. Additionally, it aims to…
Abstract
Purpose
This research aims to replicate the work of Oberholster et al. (2013) on expatriation motivation through a generalization and extension replication. Additionally, it aims to contribute to the Self-Initiated Expatriates (SIEs) literature by studying the Basic Psychological Needs (BPNs) of SIEs as proposed by the Self-Determination Theory (SDT).
Design/methodology/approach
This research used Latent Class Analysis (LCA) with covariate estimation to create five clusters based on survey data from 179 SIEs. Additionally, the replication procedure followed recommendations by Dau et al. (2022) to produce a constructive replication.
Findings
Besides validating clusters in the original study, one new cluster was found. Furthermore, identifying the BPNs of the clusters helped in understanding the mechanism that motivates them.
Research limitations/implications
By studying the BPNs as per the SDT, this research contributes to our understanding of the psychological factors that shape expatriates' motivations and experiences. This can inform the knowledge developed in the international mobility theories and the models related to SIEs' psychological well-being.
Practical implications
Building on the results of this research, organizations can tailor recruiting and retaining strategies to the specific BPNs of different SIEs groups. Organizations can motivate SIEs, enhance their job satisfaction and loyalty, predict their success, and support their psychological well-being.
Originality/value
A generalization and extension replication value lies in testing the validity and reliability of previous findings in new contexts. The originality in this research stems from its utilization of the BPNs from SDT to explain SIEs' motivation and evaluate their psychological well-being.
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Ahmad Albqowr, Malek Alsharairi and Abdelrahim Alsoussi
The purpose of this paper is to analyse and classify the literature that contributed to three questions, namely, what are the benefits of big data analytics (BDA) in the field of…
Abstract
Purpose
The purpose of this paper is to analyse and classify the literature that contributed to three questions, namely, what are the benefits of big data analytics (BDA) in the field of supply chain management (SCM) and logistics, what are the challenges in BDA applications in the field of SCM and logistics and what are the determinants of successful applications of BDA in the field of SCM and logistics.
Design/methodology/approach
This paper conducts a systematic literature review (SLR) to analyse the findings of 44 selected papers published in the period from 2016 to 2020, in the area of BDA and its impact on SCM. The designed protocol is composed of 14 steps in total, following Tranfeld (2003). The selected research papers are categorized into four themes.
Findings
This paper identifies sets of benefits to be gained from the use of BDA in SCM, including benefits in data analytics capabilities, operational efficiency of logistical operations and supply chain/logistics sustainability and agility. It also documents challenges to be addressed in this application, and determinants of successful implementation.
Research limitations/implications
The scope of the paper is limited to the related literature published until the beginning of Corona Virus (COVID) pandemic. Therefore, it does not cover the literature published since the COVID pandemic.
Originality/value
This paper contributes to the academic research by providing a roadmap for future empirical work into this field of study by summarising the findings of the recent work conducted to investigate the uses of BDA in SCM and logistics. Specifically, this paper culminates in a summary of the most relevant benefits, challenges and determinants discussed in recent research. As the field of BDA remains a newly established field with little practical application in SCM and logistics, this paper contributes by highlighting the most important developments in contemporary literature practical applications.
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Jan Selmer, Margaret Shaffer, David S.A. Guttormsen, Sebastian Stoermer, Luisa Helena Pinto, Yu-Ping Chen and Jakob Lauring