The Relationship Between Human Resource Practices and Organizational Performance and Their Operation in Light of the Development of Using Big Data Technology

Author(s):  
Jasem Taleb Al-Tarawneh ◽  
Mohd Saiful Izwaan Saadon ◽  
Aya Naser Maqableh
2015 ◽  
Vol 6 (1) ◽  
pp. 2-18 ◽  
Author(s):  
Ilhaamie Abdul Ghani Azmi

Purpose – This paper aims to assess the relationship between Islamic human resource practices and organizational performance. Design/methodology/approach – The simple random technique on 300 Islamic organizations in Malaysia was used. In all, 120 completed questionnaires were returned, but only 114 were usable. Findings – There are some positive and significant relationships between Islamic human resource practices and organizational performance. Basically, there is only one Islamic human resource practice, namely, training and development practice, that is positively and significantly related to organizational performance. Research limitations/implications – This study is only limited to the Islamic organizations that are implementing Islamic human resource practices in total. Thus, the findings could only be generalized to this type of institution. Practical implications – Thus, the Islamic organizations should emphasize on this practice to obtain higher organizational performance. Social implications – Islamic human resource practices emphasize on the instillation of Islamic values in the practices that are universal in this world. Thus, through its implementation, the betterment of the society will be obtained in terms of psychology, moral and spiritual aspects. Cooperation, teamwork and harmony could also be steadfast not only in the organizations but also in the society. Originality/value – There are few studies done on finding the relationship of Islamic human resource practices and organizational performance. Thus, this paper provides some empirical findings on this matter.


Author(s):  
Talal Saleh AbdulKarim Al-Hiyasat Talal Saleh AbdulKarim Al-Hiyasat

This research aimed to identify The Moderator Role of Quality Management on the Relationship between Human Resource Practices and Organizational Performance in the Greater Salt Municipality, and the research sample consisted of (27) respondents from administrators and workers in the following departments (Personnel Affairs Department, Public Relations Department, and General Bureau Department, And the Administrative and Legal Affairs Department) in the Greater Salt Municipality. The research found a number of results, the most important of which is that the general mean of all items to measure the degree of human resource practice in the following sections (Personnel Affairs Department, Public Relations Department, General Bureau Department, and Administrative and Legal Affairs Department) in the Greater Salt Municipality reached (4.27), which indicates The degree of strong agreement among the study sample members regarding the level of measurement of the degree of human resource practice in the Greater Salt Municipality, and that there is a strong degree on the availability of the practice of recruitment and selection, the level of performance evaluation, and the availability of elements for the practice of the reward system, and the practice of training and development in the Greater Salt Municipality, but it differs in terms of List them by the way they are set up and organized. The research also found that the general mean of all the measures of quality management in the Greater Salt Municipality reached (4.21), which indicates a strong degree of agreement between the study sample members of the role of the following sections (Personnel Affairs Department, Public Relations Department, General Bureau Department, and Affairs Department Administrative and Legal) in measuring quality management in the Greater Salt Municipality. As for discussing hypotheses, the research found that there is a statistically significant relationship between human resource practices (recruitment and selection, training and development, reward system, and performance evaluation) and the organizational performance in the Greater Salt Municipality. Finally, the researchers concluded that there is a significant difference in the role of quality management as a mediating variable on the relationship between human resources practices and organizational performance in the Greater Salt Municipality.


2021 ◽  
pp. 097215092110372
Author(s):  
Satyanarayana Parayitam ◽  
Shaik Mohamed Naina ◽  
Timothy Shea ◽  
Abdul Hameed Syed Mohideen ◽  
Alex Aruldoss

The objective of the present study is to examine the impact of human resource management (HRM) practices on organizational performance. Knowledge management (KM) practices as a moderator in the relationship between HRM practices and organizational performance are studied by developing a conceptual model. Using a structured survey instrument, the data were collected from 979 employees from 10 hospitals in the southern part of India (Tiruchirappalli District of Tamil Nadu). After thoroughly checking the instrument’s measurement properties using the LISREL, hierarchical regression was performed to test the hypotheses. The results support (a) compensation and rewards, performance appraisal and learning culture that are positively and significantly related to organizational performance; (b) recruitment and selection, training and development that are not significantly related to organizational performance; and (c) KM practices that moderate the relationship between (a) training and development and organizational performance, and (b) learning culture and organizational performance. Finally, the implications for HRM and KM are discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.


2006 ◽  
Vol 2 (3) ◽  
pp. 403-422 ◽  
Author(s):  
Zhixing Xiao ◽  
Ingmar Björkman

The concept of a high commitment work system (HCWS) has mostly been used in the West to study the relationship between a firm's work systems and organizational performance. In this paper, we introduce a preliminary measure of HCWS in China based on the definition of Baron and Kreps (1999). In study 1, we tested the measure by surveying 442 employees in China's information technology (IT) industry. In study 2, we re-tested the same measure from the perspective of human resource (HR) executives in 126 foreign-invested companies. The analyses not only provided some evidence for the construct validity of this preliminary measure of a high commitment work system, but also produced some interesting results that can only be understood with regards to the history and institutional backgrounds of Chinese organizations.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ginevra Gravili ◽  
Francesco Manta ◽  
Concetta Lucia Cristofaro ◽  
Rocco Reina ◽  
Pierluigi Toma

PurposeThe aim of this paper is to analyze and measure the effects of intellectual capital (IC), i.e. human capital (HC), relational capital (RC) and structural capital (SC), on healthcare industry organizational performance and understanding the role of data analytics and big data (BD) in healthcare value creation (Wang et al., 2018). Through the assessment of determined variables specific for each component of IC, the paper identifies the guidelines and suggests propositions for a more efficient response in terms of services provided to citizens and, specifically, patients, as well as predicting effective strategies to improve the care management efficiency in terms of cost reduction.Design/methodology/approachThe study has a twofold approach: in the first part, the authors operated a systematic review of the academic literature aiming to enquire the relationship between IC, big data analytics (BDA) and healthcare system, which were also the descriptors employed. In the second part, the authors built an econometric model analyzed through panel data analysis, studying the relationship between IC, namely human, relational and structural capital indicators, and the performance of healthcare system in terms of performance. The study has been conducted on a sample of 28 European countries, notwithstanding the belonging to specific international or supranational bodies, between 2011 and 2016.FindingsThe paper proposes a data-driven model that presents new approach to IC assessment, extendable to other economic sectors beyond healthcare. It shows the existence of a positive impact (turning into a mathematical inverse relationship) of the human, relational and structural capital on the performance indicator, while the physical assets (i.e. the available beds in hospitals on total population) positively mediates the relationship, turning into a negative impact of non-IC related inputs on healthcare performance. The result is relevant in terms of managerial implications, enhancing the opportunity to highlight the crucial role of IC in the healthcare sector.Research limitations/implicationsThe relationship between IC indicators and performance could be employed in other sectors, disseminating new approaches in academic research. Through the establishment of a relationship between IC factors and performance, the authors implemented an approach in which healthcare organizations are active participants in their economic and social value creation. This challenges the views of knowledge sharing deeply held inside organizations by creating “new value” developed through a more collaborative and permeated approach in terms of knowledge spillovers. A limitation is given by a fragmented policymaking process which carries out different results in each country.Practical implicationsThe analysis provides interesting implications on multiple perspectives. The novelty of the study provides interesting implications for managers, practitioners and governmental bodies. A more efficient healthcare system could provide better results in terms of cost minimization and reduction of hospitalization period. Moreover, dissemination of new scientific knowledge and drivers of specialization enhances best practices sharing in the healthcare sector. On the other hand, an improvement in preventive medicine practices could help in reducing the overload of demand for curative treatments, on the perspective of sharply decreasing the avoidable deaths rate and improving societal standards.Originality/valueThe authors provide a new holistic framework on the relationship between IC, BDA and organizational performance in healthcare organizations through a systematic review approach and an empirical panel analysis at a multinational level, which is quite a novelty regarding the healthcare. There is little research focussed on healthcare industries' organizational performance, and, specifically, most of the research on IC in healthcare delivered results in terms of theoretical contribution and qualitative analyzes. The authors even contributed to analyze the healthcare industry in the light of the possible existence of synergies and networks among countries.


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