The purpose of this research is to explore the dynamics of using strategic human resource management (SHRM) practices in the public sector. More specifically, this paper tries to…
Abstract
Purpose
The purpose of this research is to explore the dynamics of using strategic human resource management (SHRM) practices in the public sector. More specifically, this paper tries to point out some main aspects of SHRM, which strongly influence the decision of employees to stay. The empirical study here tends to reveal greater insights into the SHRM-retention relationship and its validation at the National Bank of Egypt (NBE).
Design/methodology/approach
This research is co-relational in nature with cause and effect approach. The design of the study is both descriptive in the theoretical part and quantitative in the applied one. Theoretically, this paper adopted the analytical approach to define the main concepts, aside from an empirical study to investigate correlations in practice.
Findings
This paper concludes that the employment of best HRM practices is deemed a remarkable strategic tool in the retention of core public employees. Also, the results of analysis provide evidence that SHRM contributes to employee retention at NBE.
Practical implications
The findings and recommendations of this research can practically guide management to devise effective policies to improve employee retention using appropriate SHRM activities, particularly in the Egyptian public organizations.
Originality/value
This research has valuable implications for both theory and practice, as it offers several contributions to literature in the field of study, as well as the practical contribution.
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Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial…
Abstract
Purpose
Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial competencies (ECs) can predict entrepreneurial action (EA) for distinct profiles, such as male versus female, start-up versus established and for entrepreneurs within different age groups and educational levels.
Design/methodology/approach
The research was conducted using a survey method on a large sample of 1,150 South African entrepreneurs. Chi-squared automatic interaction detection (CHAID) algorithms were used to build decision trees to illustrate distinct entrepreneurial profiles.
Findings
Each profile has a different set of ECs that predict EA, with a growth mindset being the most significant predictor of action. Therefore, this study confirms that a “one-size-fits-all” approach cannot be applied when profiling entrepreneurs.
Research limitations/implications
From a pedagogical standpoint, different combinations of these ECs for each profile provide priority information for identification of appropriate candidates (e.g. the highest potential for success) and training initiatives, effective pedagogies and programme design (e.g. which individual ECs should be trained and how should they be trained).
Originality/value
Previous work has mostly focused on demographic variables and included a single sample to profile entrepreneurs. This study maintains much wider applicability in terms of examining profiles in a systematic way. The large sample size supports quantitative analysis of the comparisons between different entrepreneurial profiles using unconventional analyses. Furthermore, as far as can be determined, this represents the first CHAID conducted in a developing country context, especially South Africa, focusing on individual ECs predicting EA.
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Shaikha Khaled AL-Enezi, Nermin Kamal Saeed, Naeema A.A. Mahmood, Mohd Shadab, Ali Al Mahmeed and Mohammad Shahid
Bacterial vaginosis (BV) is quite common and linked with serious public health issues such as premature delivery and spread of sexually transmitted infections. The study aims to…
Abstract
Purpose
Bacterial vaginosis (BV) is quite common and linked with serious public health issues such as premature delivery and spread of sexually transmitted infections. The study aims to identify different genital mycoplasmas (GM) in high vaginal swabs (HVS) from adult females in Bahrain.
Design/methodology/approach
In total, 401 HVS were collected and cultured on MYCOFAST® RevolutioN 2 test for identification and antibiotic susceptibility. Polymerase chain reaction (PCR) was performed for detection of Mycoplasma genitalium (Mg), Mycoplasma hominis (Mh) and Ureaplasma species. DNA-probe based detection for Gardnerella, Candida and Trichomonas was performed by BD Affirm Assay. Representative PCR amplicons were sequenced by Sanger sequencing.
Findings
In PCR, Ureaplasma sp. was the most common GM, followed by Mg and Mh; the prevalence being 21.2, 5.2 and 1.5%, respectively. On the contrary, 10.7% samples showed positivity for Ureaplasma urealyticum (Uu) and 1.7% for Mh in MYCOFAST® RevolutioN 2. The concordance rates between MYCOFAST® RevolutioN 2 and PCR for Mh and Ureaplasma sp. were 97.7 and 84%, respectively. Considering PCR as gold standard, sensitivity, specificity, positive predictive value, and negative predictive value of MYCOFAST® RevolutioN 2 were 33.3, 98.8, 28.6, 98.9 and 37.7, 96.5, 74.4, 85.2% for Mh and Ureaplasma sp., respectively. The Uu and Mh isolates showed antibiotic-resistance ranging from 53%–58% and 71%–86%, respectively.
Research limitations/implications
The prevalence of Ureaplasma sp. was high. Significant co-occurrence of GM was noticed with BV. MYCOFAST® RevolutioN 2 had lower detection-rate than PCR, so a combination is suggested for wider diagnostic coverage.
Practical implications
The research reflects on status of prevalence of GM in adult females in Bahrain, and their co-occurrence with bacterial vaginosis. Diagnostic approach with combination of tests is suggested for wider coverage. The research has epidemiologic, diagnostic, and therapeutic implications.
Originality/value
This is the first report from the Kingdom of Bahrain reflecting on burden of GM from this geographic location. The diagnostic efficacy of MYCOFAST® RevolutionN 2 test and polymerase chain reaction was evaluated for GM detection.
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James Kanyepe, Brave Zizhou, Mikel Alphaneta and Neater Chifamba
This study examines the moderating role of information sharing on the effect of lead-time management on the performance of firms in the Zimbabwean motor industry.
Abstract
Purpose
This study examines the moderating role of information sharing on the effect of lead-time management on the performance of firms in the Zimbabwean motor industry.
Design/methodology/approach
Data were collected using Likert-based structured questionnaires from a sample of 105 employees in Zimbabwe. In addition, Pearson Correlation, Linear Regression and Moderation Regression analysis were employed to test the relationship between study variables.
Findings
The study found that fixed lead time, preprocessing lead time, processing lead time and postprocessing lead time significantly influence the performance of firms in the motor industry. The results also demonstrate that information sharing moderates the effect of lead-time management on firm performance in the motor industry.
Practical implications
Firms in the motor industry should establish long-term relationships with their suppliers and implement effective communication channels for timely and frequent information exchange regarding production schedules, inventory levels, quality standards and potential disruptions.
Originality/value
The current study aims to contribute to the scientific discourse on lead-time management, information sharing and performance in the motor industry. Furthermore, it extends knowledge on the performance of the motor industry in the African region.
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One of the urgent questions in the field of diversity is the knowledge about effective diversity practices. This paper aims to advance our knowledge on organizational change…
Abstract
Purpose
One of the urgent questions in the field of diversity is the knowledge about effective diversity practices. This paper aims to advance our knowledge on organizational change toward diversity by combining concepts from diversity studies and organizational learning.
Design/methodology/approach
By employing a social practice approach to organizational learning, the author will be able to go beyond individual learning experiences of diversity practices but see how members negotiate the diversity knowledge and how they integrate their new knowledge in their day-to-day organizational norms and practices. The analysis draws on data collected during a longitudinal case study in a financial service organization in the Netherlands.
Findings
This study showed how collective learning practices took place but were insufficiently anchored in a collective memory. Change agents have the task to build “new” memory on diversity policies and gender inequality as well as to use organizational memory to enable diversity policies and practices to be implemented. The inability to create a community of practice impeded the change agenda.
Research limitations/implications
Future research could expand our knowledge on collective memory of knowledge on diversity further and focus on the way employees make use of this memory while doing diversity.
Practical implications
The current literature often tends to analyze the effectiveness of diversity practices as linear processes, which is insufficient to capture the complexity of a change process characterized with layers of negotiated and politicized forms of access to resources. The author would argue for more future work on nonlinear and process-based perspectives on organizational change.
Originality/value
The contribution is to the literature on diversity practices by showing how the lack of collective memory to “store” individual learning in the organization has proven to be a major problem in the management of diversity.
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Noorul Shaiful Fitri Abdul Rahman, Adela P. Balasa, Mohammad Khairuddin Othman and Abebe Ejigu Alemu
This paper aimed to assess the service quality of the main seaports in Oman, which were Sohar, Ad Duqm and Salalah. The aim was to come up with ways to enhance the port service…
Abstract
Purpose
This paper aimed to assess the service quality of the main seaports in Oman, which were Sohar, Ad Duqm and Salalah. The aim was to come up with ways to enhance the port service quality (PSQ) in Oman so that it could align with the Sultanate of Oman Logistics Strategy (SOLS) 2040 goals and achieve excellent and efficient operations.
Design/methodology/approach
To evaluate the service quality level of the port operators, this paper used a descriptive research design with Resources, Outcome, Process, Management, Image/reputation and Social (ROPMIS) modelling.
Findings
The findings indicated that the overall PSQ rating was currently between “satisfactory” and “very satisfactory” levels. However, the study also found that by empowering resources, outcomes, processes, management, image and social responsibility aspects, the port operators could provide a “high” quality of service, making their seaport operations more effective and efficient.
Practical implications
The study offers recommendations for improving port services in Oman, including investment in modern seaports, upgrading infrastructure and facilities, ensuring safety and efficiency of cargo operations, meeting and exceeding customer expectations, adopting new technology and automation, hiring policies that attract diverse talents, implementing environmentally friendly practices and improving governance. Overall, this study contributes to the literature and managerial practices in PSQ aspects and its contribution to the SOLS 2040 in Oman.
Originality/value
The originality and novelty of this study lie in its comprehensive assessment of the service quality of Oman's ports and the identification of areas for improvement to achieve outstanding service levels.
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Karlo Puh and Marina Bagić Babac
Predicting the stock market's prices has always been an interesting topic since its closely related to making money. Recently, the advances in natural language processing (NLP…
Abstract
Purpose
Predicting the stock market's prices has always been an interesting topic since its closely related to making money. Recently, the advances in natural language processing (NLP) have opened new perspectives for solving this task. The purpose of this paper is to show a state-of-the-art natural language approach to using language in predicting the stock market.
Design/methodology/approach
In this paper, the conventional statistical models for time-series prediction are implemented as a benchmark. Then, for methodological comparison, various state-of-the-art natural language models ranging from the baseline convolutional and recurrent neural network models to the most advanced transformer-based models are developed, implemented and tested.
Findings
Experimental results show that there is a correlation between the textual information in the news headlines and stock price prediction. The model based on the GRU (gated recurrent unit) cell with one linear layer, which takes pairs of the historical prices and the sentiment score calculated using transformer-based models, achieved the best result.
Originality/value
This study provides an insight into how to use NLP to improve stock price prediction and shows that there is a correlation between news headlines and stock price prediction.
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Pankaj Kumar Bahety, Souren Sarkar, Tanmoy De, Vimal Kumar and Ankesh Mittal
This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.
Abstract
Purpose
This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.
Design/methodology/approach
In this study, the data is obtained through a structured questionnaire from Indian consumers considering convenience sampling under the nonprobability sampling technique. The consumer preference is explained using a multiple-regression model followed by analysis of variance (ANOVA), which shed insight on the significant differences between the variables that influence consumer preference for dairy products.
Findings
Investigation is done to analyze the factors influencing the consumers' buying behavior toward milk and its products. The results showed that quality, health consciousness, price and availability are the most influencing factors to buy milk products. Quantity of milk showed a significant relationship between age, monthly income and family size.
Research limitations/implications
This study helps marketing managers to frame the marketing strategies based on consumer preference, quality, health consciousness, price and availability. The research outcome will not only be advantageous for the entrepreneurial perspective but also takes care of consumer likeliness. Though the research reveals the opinion of Indian consumers, it limits the likeliness of the western world. Because of the scarcity of resources, several dairy products are unexplored, which could pave the future scope of research.
Originality/value
The novelty of this study is to identify the quality, health consciousness, price and availability are the most influencing factors to buy milk products considering ANOVA and the multiple regression model.
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Gayatri Panda, Manoj Kumar Dash, Ashutosh Samadhiya, Anil Kumar and Eyob Mulat-weldemeskel
Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore…
Abstract
Purpose
Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.
Design/methodology/approach
The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.
Findings
The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.
Research limitations/implications
The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.
Originality/value
The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.
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Omotayo Adewale Awodiji and Suraiya R. Naicker
Teachers at all levels of the education system are expected to model leadership qualities to students. Leadership qualities of level advisers (LAs) are regarded as charismatic…
Abstract
Purpose
Teachers at all levels of the education system are expected to model leadership qualities to students. Leadership qualities of level advisers (LAs) are regarded as charismatic, pragmatic, ideological and innovative (CPII) in this study. This study compared the leadership qualities of LAs in universities in Nigeria as perceived by students. The purpose of this paper is to compare the leadership qualities of LAs in universities in Nigeria as perceived by students.
Design/methodology/approach
A survey-comparative design of a quantitative research approach was used. Two universities were purposively selected and the convenience sampling method was applied to select 207 participants.
Findings
Findings revealed that LAs of the private university exhibit a slightly higher level of leadership qualities than those from the public university based on the students' assessment (t (207) = 2.19 and ρ = 0.029 < 0.05).
Research limitations/implications
The study concluded that universities should organise regular workshops for LAs on innovative leadership to stimulate 21st-century learners to achieve their educational objectives.
Practical implications
It is therefore recommended that universities should organise a regular workshop for LAs on an innovative leadership model that promotes 21st century students to achieve their educational objectives.
Originality/value
In practice, the study of this kind is timely, given that academic advisers or advisers are very influential on student achievement and success. Thus, the outcome will educate the academic advisers on the leadership qualities that will enhance their role in the 21st century. In addition, it will add to the literature on university LAs' leadership skills in Nigeria and other nations of Africa. Most literature available in the context is mainly from America.