Investigating the effect of humility of Muslim leaders on the moral behaviours of followers and spirituality at work in Islamic society

Boudlaie, Hasan; Boghosian, Albert; Al‐Hawary, Sulieman Ibraheem Shelash; Hussein, Rasha Abed; Talib, Saad Ghazi; Mutlak, Dhameer A.; Muda, Iskandar; Iswanto, A. Heri

doi:10.4102/hts.v78i1.7833

Cited by 24 publications

(7 citation statements)

References 16 publications

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“…The quantitative approach has been identified as extensively applied because of its ability to provide a high amount of data within efficient time and cost (Cavana, Delahaye, & Sekaran, 2001;Mukhlis et al, 2022;Mohammad, 2019). The quantitative approach has a major benefit that provides relatively more generalizable results ( Mohammad , 2020;Boudlaie et al, 2022;Saunders, Lewis, & Thornhill, 2009;Kumar & Phrommathed, 2005). Therefore, a quantitative approach had been used to provide a more systematic way for data collection.…”

Section: Methodsmentioning

confidence: 99%

Predicting energy-saving behavior in Saudi Arabia using theory of planned behavior

Hamouri¹

2023

10.5267/j.uscm

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The main objective was to examine the impact of social norms, habits, and perceived behavioral control towards intention and its impact on energy-saving behavior. Also, the direct effects of habits and perceived behavioral control were examined towards energy-saving behavior. The target population was based on citizens of Saudi Arabia while the data collection was conducted using a quantitative approach. The purposive sampling was used, and data was analyzed using PLS-SEM using SmartPLS 3.2.8. The results show that habits had insignificant impact on energy-saving behavior. The habits had a significant impact on intention. The intention had an impact on energy-saving behavior. The perceived behavioral control had an impact on intention. The social norms had an impact on intention. We recommend that people should enhance their perceived behavioral control by believing on their attitude and feelings towards developing positive intentions that further leads towards energy saving behavior.

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Section: Methodsmentioning

confidence: 99%

Predicting energy-saving behavior in Saudi Arabia using theory of planned behavior

Hamouri¹

2023

10.5267/j.uscm

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“…Employee performance is affected by numerous factors such as employee motivation, employee satisfaction, as well as HRM practices like employee training, compensation and performance appraisal (Al-Shormana et al, 2021;Al-Alwan et al, 2020;Alhalalmeh et al, 2020;Sandhu et al, 2017), employee engagement (Al-Abbadi et al, 2021;Bedarkar & Pandita, 2014), as well as leadership styles such as participative style, and democratic style (Iqbal et al, 2015). Other factors affecting employee performance include employee training and development (AlHamad et al, 2022;Hameed & Waheed, 2011), and organizational citizenship behavior, Leadermember exchange, team learning, and innovative work behavior (Boudlaie et al, 2022;Atatsi et al, 2019;Al-Lozi et al, 2018). The focus of the current study is on the relationship between employee motivation and employee performance.…”

Section: Employee Performancementioning

confidence: 99%

The impact of digital HRM on employee performance through employee motivation

Al-kharabsheh¹,

Attiany²,

Alshawabkeh³

et al. 2023

10.5267/j.ijdns

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This study aims at investigating the effect of digital HRM practices on employee motivation and hence employee job performance, or in other words, the mediating role of employee motivation between digital HRM practices and employee job performance. Two digital HRM practices were used in this study: digital training and digital performance appraisal. Collecting data using a valid and reliable questionnaire from employees at industrial companies, the results show that digital training had significant effects on both employee motivation and job performance, digital performance appraisal had significant effects on employee motivation and performance appraisal, and employee motivation exerted a significant effect on job performance. Consequently, it was approved that employee motivation partially mediated the effect of digital HRM practices on job performance. It was concluded that skilled employees who are aware of their performance level are motivated to show higher levels of job performance. Theoretically, the study called scholars to carry out further results to examine the effects of other HRM practices on job performance through employee motivation. Empirically, organizations are requested to conduct training sessions and assess employee performance using digital means.

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“…Factor loadings and the average variance extracted (AVE) was used for measuring convergent validity and the square roots of AVE values were utilized to assess discriminant validity. factor loadings should be higher than 0.70 (Chang et al, 2016;Mohammad, 2020;Boudlaie et al, 2022;Mukhlis et al, 2022), AVE values should be greater than 0.50 and the square roots of the AVE values should be higher than the correlation of each variable with the remaining variables (Mandal et al, 2016;Shee et al, 2018). Cronbach's alpha coefficients and composite reliability (CR) should also exceed 0.70 (Kircaburun et al, 2021).…”

Section: Validity and Reliabilitymentioning

confidence: 99%

Potential effects of smart innovative solutions for supply chain performance

Al-Shorman¹,

Eldahamsheh²,

Attiany³

et al. 2023

10.5267/j.uscm

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The study aimed at exploring the impact of three smart innovative solutions, i.e., Internet-of-Things, Big Data Analytics, and Cloud Computing on supply chain performance. Collecting data by questionnaires administered to a sample consists of supply chain managers of industrial firms. The results pointed out that these three smart solutions significantly and positively lift firms’ supply chain performance. That is, the hypotheses that Internet-of-Things, Big Data Analytics, and Cloud Computing have significant impacts on supply chain performance were supported. Therefore, the study concluded that for industrial firms to improve supply chain performance, such smart solutions should be assessed and applied. The study contributes to both academics and practitioners through providing empirical results on concurrent impacts of three advanced technologies in supply chain management context.

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Investigating the effect of humility of Muslim leaders on the moral behaviours of followers and spirituality at work in Islamic society

Cited by 24 publications

References 16 publications

Predicting energy-saving behavior in Saudi Arabia using theory of planned behavior

Predicting energy-saving behavior in Saudi Arabia using theory of planned behavior

The impact of digital HRM on employee performance through employee motivation

Potential effects of smart innovative solutions for supply chain performance

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