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The purpose of this paper is to analyze the influence of financial, monitoring and experiential expertise of audit committee chair (ACC) and HR, monitoring and experiential expertise of nomination committee chair (NCC) on the financial performance (FP) of the firm.

Quantitative approach was used in this study to collect data from 50 non-financial firms of Pakistan and to analyze the data through e-views for testing hypotheses.

The findings revealed that financial and monitoring expertise of ACC and experiential expertise of NCC positively influence return on assets, return on equity and the net profit margin of the firm. However, no significant influence of experiential expertise of ACC and monitoring and HR expertise of NCC on FP was found.

The findings of this study will help firms of Pakistan to understand what expertise of their ACC and NCC can contribute to the enhancement of their FP. However, the current study examined the non-financial firms of Pakistan only.

Past studies have never shown the particular focus on different types of expertise of “Chairs” of nomination and audit committees in a combined research to analyze their impact on FP of firms. The present study has abridged this gap in the field of expertise of chairs of board committees so, it will open new areas of discussion for future researchers in domains of “agency theory”, “human capital theory” and corporate governance.

The purpose of this study is to scrutinize the effect of corporate social responsibility activities (CSRA) of the firm on its financial performance (FP) and analyze the mediating role of innovation and competitive advantage (CA) in the relationship between CSRA and FP in the manufacturing sector of an emerging country, i.e. Pakistan.

Data has been collected through an electronic structured questionnaire from 300 middle-level and top-level managers by surveying different manufacturing firms of Gujranwala, Pakistan. The study’s hypotheses have been checked by analyzing the reliability and validity of data and applying confirmatory factor analysis and structural equation modeling through statistical package for the social sciences and analysis of moment structures.

Outcomes of this study supported the hypothesized model. It has been found that the CSRA plays a significant positive role in determining the FP of the firm. Furthermore, the CA and innovation have been proved as significant mediators between CSRA and FP.

The first time examining the intermediation of innovation and CA in the relationship between CSRA and FP is the primary input of this study to the literature. Practically, this study’s findings will help strategy makers of manufacturing firms in emerging countries develop better strategies for implementing CSRA, enhancing innovation, seeking CA and improving FP.

The purpose of this paper is to explain the relationship between customer-oriented strategy (COS) and financial performance (FP) of firm, to examine the role of supportive human resource management (HRM) in COS implementation and contribution toward FP of firm. It also examines the mediating role of innovation capability (IC) between COS and FP of firm.

The approach used for this study is quantitative. Data required for testing of hypothesis were gathered from the managers of manufacturing firms of Gujranwala, Pakistan. To conduct the data analysis, structural equation modeling was used.

Findings of this study showed that there is significantly positive relation between COS and FP with the significant positive mediating effects of supportive HRM and IC.

This research has been conducted in manufacturing sector only. So, it is suggested to future researchers to carry out this research in other sectors. Second, this research focused only on IC but there are many other organizational capabilities (OC) that can be used.

This research would be helpful for all firms adopting COS to understand that how to mobilize their HR to accomplish the purpose of strategy. It will enable manufacturing firms to understand and work on IC.

This study is anticipated to add value to the existing literature of strategy process and OC. This study is one of the first to examine IC as mediator between COS and organizational FP so it opens new areas for research.

The current study aims to examine the relationship between Islamic spirituality (IS), Islamic social responsibility (ISR) and workplace deviance (WD).

Data were collected from 400 Muslim employees of 9 business groups in Pakistan from manufacturing and services industry. The structure equation modeling was used to test the hypotheses, and the proposed model was assessed through renowned model fit indices.

The findings revealed that IS and ISR help curtail WD. The study also provides empirical support to the hypotheses that employees with high levels of IS and social responsibility will tend to avoid deviant behavior at workplace.

This study proposed IS and ISR as two possible stimuli that can help reduce employee deviant behavior at workplace. The findings of the present study revealed that IS, as well as ISR, is inversely related to WD. The present results augmented the existing body of knowledge regarding workplace spirituality in the field of organization behavior and further enriched the WD theory by offering new empirical relationships from an Islamic perspective.

This study aims to investigate two primary objectives. First, this study examines the influence of modified service quality dimensions on Islamic bank customer satisfaction using a compliance, reliability, empathy, assurance, tangible, operational efficiency, responsiveness (CREATOR) model. Second, the study explores the relationship between customer satisfaction, trust, loyalty and word of mouth (WOM) in Islamic banking of Pakistan.

The proposed model was analyzed using PLS-SEM-based approach. A total of 312 usable responses were used for data analysis.

The results indicate that all CREATOR dimensions have a significant positive impact on Islamic banks’ customer satisfaction. Similarly, this study also found a significant positive relationship between customer satisfaction, trust, loyalty and WOM. Overall, this study modified a well-established service quality framework by successfully implementing the CREATOR model in Islamic banking.

This study will provide helpful policy guidelines for Islamic bank managers improve their service quality and strengthen their relationships with existing and new customers. The authors are also sure that their proposed model will add value to the ongoing service quality literature by indicating the role of operational effectiveness in increasing customer satisfaction and promoting positive WOM.

The role of insurance is a backbone for consumers to secure their future. It is important to know where to invest and what are the benefits. Therefore, for the Muslim segment, Islamic insurance system provides Riba (interest)-free environment where consumers invest their money and recover their losses according to sharia. This paper aims to examine the determinants that influence purchase intention of consumers toward Islamic insurance (Takaful) adoption in Pakistan with the help of the modified theory of planned behavior (TPB).

The authors added four specific variables related to Islamic sharia compliance in the conventional form of the TPB. The relationship among the variables is assessed by using partial least squares structural equation modeling, while the data are collected from 305 respondents.

The results suggest that attitude, subjective norm and perceived behavioral control are strong predictors of an Islamic insurance adoption in Pakistan. Moreover, factors such as compatibility, relative advantage and awareness have positive and significant impacts on takaful participation. A negative but insignificant relation is found between perceived risk and intention.

This paper provides insight for understanding the factors that lead to consumers' purchase intention of Islamic insurance.

This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors of Islamic insurance adoption by modifying the TPB and applying more rigorous statistical techniques like confirmatory factor analysis (CFA) and partial least square structural equation modeling.

Green management initiatives are an influential factor for forward-thinking corporations across the globe. Human resource (HR) practitioners find incorporating sustainable development into HR practices a significant challenge, but green initiatives enhance environmental quality. This study aims to analyze the impact of green human resources management (GHRM) practices on hotel environmental performance (HEP) by incorporating environmental knowledge (EK) and individual green values (IGV) as a moderator.

The software Smart PLS has been used for data analysis, and partial least square-structural equation modeling has been used to assess measurement and structural models. Data was gathered from 329 white-collar employees of Pakistan’s guest service hotels.

The results reveal that GHRM practices positively correlate with employees’ affective commitment (EAC) and eco-friendly behavior. Also, employees’ eco-friendly behavior increases HEP, but EAC shows an insignificant association. Moreover, EK does not strengthen the relationship between GHRM practices and EAC and eco-friendly behavior. However, IGV strengthen the relationship between affective commitment and HEP.

The research suggests that management should embrace GHRM practices for better environmental performance. Hotels should ensure that all GHRM attributes, such as green recruitment, training and compensation, are rightly executed. They can help acquire and retain committed and eco-friendly employees whose environmental values and objectives are compatible with the organization.

It will provide insight into the role of the GHRM in fostering EAC and eco-friendly behavior that, in turn, influence environmental performance. Also, the theory of social identity has been incorporated to inspect employees’ behavior along with the moderating role of EK and IGV. It is crucial to understand two essential aspects in a developing country like Pakistan so that the hospitality sector can implement them efficiently in the future: how hotels protect the environment through their green practices and whether employees of a developing country depict eco-friendly behavior and affective commitment on the basis of GHRM.

The crux of this paper is to unveil efficient features and practical tools that can predict credit default.

Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.

The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.

Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.

This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.

The pervasive issue of employee exploitation has surfaced as a salient ethical quandary within the context of modern-day workplaces, thereby demanding expeditious and imperative deliberation and redressal. This research endeavor aims to meticulously investigate the ramifications of employee exploitation on the proclivity to partake in the act of cutting corners within the workplace. This analysis encompasses the sequential mediating variables of negative emotions, namely resentment, anger, and frustration, as well as moral disengagement.

A purposive sampling technique and self-administered questionnaires were utilized in this study of 132 SME sector personnel. The current study is time-lagged in nature and uses the Amos software, the data were analyzed using exploratory and confirmatory factor analyses, as well as structural equation modeling.

According to the results, employee exploitation has a strong positive impact on cutting corners. This effect is mediated progressively by negative emotions (resentment, anguish, frustration), as well as moral disengagement. According to the findings, organizations should prioritize addressing employee exploitation to build a healthy work environment that promotes employee well-being and encourages employee voice.

This study’s novelty comes from its analysis of the sequential mediation of negative emotions, as well as moral disengagement, in the relationship between employee exploitation and cutting corners. The study’s findings add to the body of literature concerning management development, conflict handling, and employees’ attitudes and behaviors by offering a thorough grasp of the detrimental effects of employee exploitation on cutting corners as well as useful recommendations for businesses looking to promote productive workplaces.

This study aims to examine the role of big data analytics (BDA) powered by artificial intelligence (AI) in improving sustainable performance (SP) through green supply chain collaboration (GSCC), sustainable manufacturing (SM) and environmental process integration (EPI).

Data was collected from 249 supply chain professionals working at various manufacturing firms, and hypotheses were tested through a quantitative method using PLS-SEM with the help of SmartPLS version 4 to validate the measurement model.

This study identified that BDA-AI significantly and positively affects GSCC, SM and EPI. Similarly, the results showed that GSCC significantly and positively affects SP. At the same time, SM and EPI have an insignificant effect on SP. The GSCC found a significant relationship between BDA-AI and SP for mediation. However, SM and environmental performance integration did not mediate the relationship between BDA and AI and SP.

This research evaluated a second-order model and tested SP in conjunction with the dynamic capability theory in the manufacturing industry of Pakistan. Therefore, this research could be beneficial for researchers, manufacturers and policymakers to attain sustainable goals by implementing the BDA-AI in the supply chain.