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The present correlational research study examined the theoretical and statistical relationship between mentoring, research self-efficacy, work–life balance and the psychological well-being of doctoral program students. The study highlights the positive role of mentoring for uplifting the eudemonic aspects of well-being of doctoral program students of natural sciences.

A purposive sample (N = 72) of natural sciences doctoral program students was selected from the Higher Education Commission recognized universities of Lahore and Sargodha. Participants' experiences regarding mentoring were operationalized utilizing the Mentorship Effectiveness Scale (Berk et al., 2005). Similarly, their levels of research self-efficacy, work–life balance and psychological well-being were operationalized via the Self-Efficacy in Research Measure (Phillips and Russell, 1994), Work–life Balance Scale (Brough et al., 2014) and Psychological Well-Being Scale (Ryff, 1989), respectively.

Results indicated that mentoring, research self-efficacy, work–life balance and psychological well-being were significantly positively related to one another. The parallel mediation analysis through the process established the path model of mentoring and psychological well-being. The model highlights the importance of mentoring mechanisms in strengthening research self-efficacy and work–life balance and in turn enhancing the psychological well-being of doctoral program students.

This paper highlights the significance of mentoring for the psychological well-being of doctoral program students. It can guide policymakers and mentors to acknowledge and address the research-based needs of these students in terms of improved well-being and productivity.

Material selection, driven by wide and often conflicting objectives, is an important, sometimes difficult problem in material engineering. In this context, multi-criteria decision-making (MCDM) methodologies are effective. An approach of MCDM is needed to cater to criteria of material assortment simultaneously. More firms are now concerned about increasing their productivity using mathematical tools. To occupy a gap in the previous literature this research recommends an integrated MCDM and mathematical Bi-objective model for the selection of material. In addition, by using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the inherent ambiguities of decision-makers in paired evaluations are considered in this research. It goes on to construct a mathematical bi-objective model for determining the best item to purchase.

The entropy perspective is implemented in this paper to evaluate the weight parameters, while the TOPSIS technique is used to determine the best and worst intermediate pipe materials for automotive exhaust system. The intermediate pipes are used to join the components of the exhaust systems. The materials usually used to manufacture intermediate pipe are SUS 436LM, SUS 430, SUS 304, SUS 436L, SUH 409 L, SUS 441 L and SUS 439L. These seven materials are evaluated based on tensile strength (TS), hardness (H), elongation (E), yield strength (YS) and cost (C). A hybrid methodology combining entropy-based criteria weighting, with the TOPSIS for alternative ranking, is pursued to identify the optimal design material for an engineered application in this paper. This study aims to help while filling the information gap in selecting the most suitable material for use in the exhaust intermediate pipes. After that, the authors searched for and considered eight materials and evaluated them on the following five criteria: (1) TS, (2) YS, (3) H, (4) E and (5) C. The first two criteria have been chosen because they can have a lot of influence on the behavior of the exhaust intermediate pipes, on their performance and on the cost. In this structure, the weights of the criteria are calculated objectively through the entropy method in order to have an unbiased assessment. This essentially measures the quantity of information each criterion contribution, indicating the relative importance of these criteria better. Subsequently, the materials were ranked using the TOPSIS method in terms of their relative performance by measuring each material from an ideal solution to determine the best alternative. The results show that SUS 309, SUS 432L and SUS 436 LM are the first three materials that the exhaust intermediate pipe optimal design should consider.

The material matrix of the decision presented in Table 3 was normalized through Equation 5, as shown in Table 5, and the matrix was multiplied with weighting criteria ß_j. The obtained weighted normalized matrix V_ij is presented in Table 6. However, the ideal, worst and best value was ascertained by employing Equation 7. This study is based on the selection of material for the development of intermediate pipe using MCDM, and it involves four basic stages, i.e. method of translation criteria, screening process, method of ranking and search for methods. The selection was done through the TOPSIS method, and the criteria weight was obtained by the entropy method. The result showed that the top three materials are SUS 309, SUS 432L and SUS 436 LM, respectively. For the future work, it is suggested to select more alternatives and criteria. The comparison can also be done by using different MCDM techniques like and Choice Expressing Reality (ELECTRE), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE).

The results provide important conclusions for material selection in this targeted application, verifying the employment of mutual entropy-TOPSIS methodology for a series of difficult engineering decisions in material engineering concepts that combine superior capacity with better performance as well as cost-efficiency in various engineering design.

This study aims to analyze the impact of corporate governance characteristics on the risk exposure of Islamic mutual funds prevailing in different Islamic countries (Pakistan and Malaysia).

This study used dynamic panel regression model for analysis and estimated the results using system generalized method of moment technique. A sample of 185 Islamic funds is used in the current research, which is selected using judgmental sampling. The data span of this study consists nine years from 2009 to 2017.

The results showed that the corporate governance characteristics such as board independence, directors and institutional ownership and overall governance quality are helpful in reducing the total and downside risk exposure of Islamic mutual funds. The findings also suggest that board size and Chief Extractive officer duality play no role in mitigating the risk of Islamic funds prevailing in both countries.

This study has implication for industry practitioners and fund managers. This study showed that the corporate governance characteristics are helpful in reducing the risk exposure of Islamic mutual funds. Therefore, this study provides input to the investment firms to improve the quality of corporate governance for lowering the risk exposure of mutual funds.

To the best of the authors’ knowledge, this study is the first attempt to analyze the impact of corporate governance characteristics on the risk exposure of Islamic mutual funds and hence provides significant contribution in the literature of mutual funds.

The purpose of this study is to examine how capital structure mediates the effects of corporate governance (CG) compliance on firm performance (FP) in the context of a developing market experiencing significant reforms to its governance landscape.

An index was built to measure firm-level compliance with Pakistan’s code of CG. Several robustness checks were performed, including alternate proxies of dependent and independent variables, using additional control variables and considering the Global Financial Crisis period. To address dynamic effects and endogeneity, several identification strategies were used: a leading dependent variable, fixed effects model, generalised method of moments model and propensity score matching.

CG compliance leads to higher FP. However, higher leverage partially and negatively mediates this association. The results of this study are robust against alternate proxies of dependent and independent variables and possible endogeneity issues.

This study constructs a summative measure of CG compliance that captures not only firm-level compliance to the prescribed codes but also the benefits of incremental improvements and reforms in the governance of the Pakistan market. This study offers insights into an emerging market, contributing further empirical evidence to support greater market transparency through mechanisms such as CG compliance and the monitoring effects of debt. However, this study cautions that greater compliance raises costs, especially when associated with higher leverage, and can undermine FP.

This study highlights the influence of non-financial sustainability reporting and firm reputation (FR) on the China Stock Exchange. The study is based on the components of sustainability reporting that influence FR.

A simple ordinary least squares (OLS) regression model is initially run to test the hypotheses. Advanced econometric methods are used to detect the presence of heteroskedasticity. The study utilizes fixed-effect, two-stage least squares (2SLS) and two-step generalized method of moments (GMM) regression models to address endogeneity issues.

Findings suggest that NFSR has a negative influence on FR. Conversely, environmental, social and governance (ESG) sustainability reporting exhibited positive associations with a FR in fixed-effect, 2SLS and GMM results.

This study has limitations, and data collection is restricted to the period from January 2018 to June 2023, limiting the scope of findings due to data constraints. Brand equity measurement is considered only one aspect of a company's activities, and other methods can also be considered for measuring brand equity. Another limitation is a standardized method for measuring NFSR. While this study used the Arianpoor and Salehi (2021) model to measure sustainability reporting in the Chinese market, future research could explore different methods.

The findings of this study have important practical implications for corporate management, highlighting reputation challenges and the strategic importance of sustainability. Managers are encouraged to use NFSR strategically to enhance their reputation and corporate strategy.

The social implications highlight ownership and regulatory structures, promoting enhanced sustainability reporting in China's business culture. This insight informs policymakers, businesses and stakeholders regarding the importance of sustainability reporting, guiding decisions on corporate reputation and sustainability regulations.

The research indicates the importance of context-specific sustainability reporting for enhancing reputation. It provides insights into sustainability's impact on a company's reputation, promoting responsible practices for a sustainable global economy. To the best of the authors' knowledge, this is the first research that utilizes the NFSR frameworks and a sample of firms in China to discuss sustainability reporting with different guidelines.

Abusive supervision (AS) provides insights into the darker aspects of leadership behavior and its effects on employees. Understanding and addressing AS can contribute to creating healthier work environments and promoting employee well-being. The effect of abusive leadership (AS) on counterproductive work behaviors (CWB) in nursing staff is examined through the theoretical lens of the social exchange theory.

Data were collected from 302 nursing staff working at public and private hospitals through a self-administered questionnaire. Measurement scales were adapted from the literature and the data were tested for validity and reliability before performing hypotheses testing through structural equation modeling in SmartPLS 4.0.

AS positively affects CWB, and psychological contract breach mediates this relationship. However, employees with high Islamic work ethics (IWE) are less concerned with supervisors' dysfunctional behaviors and pay less attention to them; thus, IWE buffers the effect of AS on CWBs.

A positive and supportive organizational climate is crucial for attracting and retaining skilled healthcare professionals. When healthcare professionals are subjected to abusive behaviors, their ability to share knowledge, adopt safety protocols and provide the best patient care may be hampered. Therefore, addressing AS in hospitals is vital to promoting a positive work environment, enhancing employee well-being and improving patient care.

The purpose of this paper is to explore the effect of big data analytics-capable business process management systems (BDA-capable BPMS) on ambidextrous organizations’ agility. In particular, how the functionalities of BDA-capable BPMS may improve organizational dynamism and reactiveness to challenges of Big Data era will be explored.

A theoretical analysis of the potential of BDA-capable BPMS in increasing organizational agility, with particular attention to the ambidextrous organizations, has been performed. A conceptual framework was subsequently developed. Next, the proposed conceptual framework was applied in a real-world context.

The research proposes a framework highlighting the importance of BDA-capable BPMS in increasing ambidextrous organizations’ agility. Moreover, the authors apply the framework to the cases of consumer-goods companies that have included BDA in their processes management.

The principal limitations are linked to the need to validate quantitatively the proposed framework.

The value of the proposed framework is related to its potential in helping managers to fully understand and exploit the potentiality of BDA-capable BPMS. Moreover, the implications show some guidelines to ease the implementation of such systems within ambidextrous organizations.

The research offers a model to interpret the effects of BDA-capable BPMS on ambidextrous organizations’ agility. In this way, the research addresses a significant gap by exploring the importance of information systems for ambidextrous organizations’ agility.

The retail industry is undergoing a significant digital revolution. Emerging technologies are changing the way shoppers interact with companies and shops, causing a significant upheaval in the business. The primary purpose of the research is to recognise the concept of retail along with its service applications and novel technologies that will drive the future around the world. Retailers must keep up with the latest technological advancements to remain competitive as the supply chain grows more intricate and consumers become more astute, tech-savvy, and gadget-literate about using multiple channels. The analysis indicates technologies including artificial intelligence (AI), smart labelling, beacons, augmented reality (AR), virtual reality (VR), drone deliveries, and Internet of Things (IoT) have emerged as future trends. It has been found that retailers need to have strong digital relationships to engage and interact with consumers as well as to mould and influence experiences. They can create connections to assist customers in making decisions that are beneficial to them. India’s retail industry is well-positioned to prosper in the dynamic market environment by adopting innovation and transformation and also centred on omnichannel tactics, which offer customers a seamless experience by giving them a comprehensive, single glance at each retail business from the comfort of their home or place of business. The application of literary works to explain the notion of Industry 4.0 in the retail sector while recognising and comprehending pertinent technological developments. This chapter establishes the groundwork for upcoming research on technologies that will eventually be utilised in retail management.

The present study aimed to provide an understanding of the roles of community-based financial service organizations (i.e. rotating savings and credit associations [ROSCAs] as institutional pillars in facilitating low-income, unbanked consumers’ access to informal financial services).

Semi-structured interviews were conducted with 39 low-income, unbanked consumers participating in ROSCAs in Pakistan, where only 21% of adults have a bank account and almost four out of five individuals live on a low income. The obtained data were analyzed using the thematic analysis technique.

ROSCAs’ regulatory, sociocultural and cognitive aspects facilitate low-income, unbanked consumers’ utilization of informal financial services owing to their approachability by, suitability for, and fairness to such consumers. Thus, they promote such consumers’ financial inclusion.

Low-income consumers are mostly unable to access formal financial services due to the existing supply- and demand-side impediments. Understanding ROSCAs’ institutional functioning can help formal financial service providers create more transformative financial services based on the positive institutional aspects of ROSCAs to enhance poor consumers’ financial inclusion and well-being.

The inclusion of low-income, unbanked consumers in formal banking services will help them better control their finances.

Many low-income, unbanked consumers in developing countries utilize informal financial services to meet their basic financial needs, but service researchers have rarely investigated how informal financial institutions function. The present study showed that ROSCAs, as informal institutions, meet low-income, unbanked consumers’ personal, social and financial needs in a befitting manner, which encourages such consumers to use the financial services offered by ROSCAs.

This study explored the antecedent and consequent relationship between information and communication technology (ICT) competency, sustainability tourism marketing and brand equity in rural community-based homestays in Malaysia. This study also examined how the political support by local authorities benefitted this sustainable rural tourism product development.

Homestays operators from three states in Malaysia–Kuala Lumpur/Selangor, Pahang and Pulau Pinang–participated in the study. Self-administered questionnaires were used to collect responses and to test research hypotheses.

The study's model empirically demonstrated ICT competency, sustainability tourism marketing practices and political support by local authorities' construct which are essential explanatory variables of homestay brand equity. The model shows high levels of consistency between the theoretical design and the empirical results of its constructs, contributing as a new step in the tourism sustainability literature.

This study enables us to explain the “triple bottom line” theory when applied in combination with ICT competency, brand equity and newly introduced construct “political support by local authorities”.

The study results in evidence of crucial implications for policymakers. Policymakers should enhance cost-effectiveness, policy integration (integration of economic, environmental and social goals), and transparency and accountability to achieve United Nations' and Malaysia's sustainable tourism goals.

This study is an early attempt to highlight the importance of sustainable tourism marketing and brand equity in rural community-based homestays in Malaysia. This study also emphasizes that the local political authorities are the most crucial rural tourism stakeholders, and they play a key role in sustainable rural tourism transformation.