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This empirical study aims to explore the linkage among authentic leadership traits and job performance via the mediating role of high-performance human resource practices (HPHRPs) in a developing country context. Social exchange theory and trait theory are widely employed in many disciplines but seldom applied to job performance among Pakistan Telecommunication Company Limited (PTCL) employees.

The sample of the study is PTCL's employees. A cross-sectional design was employed and data was collected from 377 employees via questionnaire. This is an exploratory study; therefore, partial least square–structural equation modeling (PLS-SEM) was employed to answer the research questions.

The findings of this study revealed that relational transparency, directly and indirectly, influenced job performance with the partial mediating role of selective staffing and extensive training. Furthermore, balance processing, directly and indirectly, influenced job performance with the partial mediating role of incentive reward, while self-awareness, internalized moral perspective, employment security and result-oriented appraisal were insignificant influences on job performance.

The results of the study delineated practical applications for both the researchers and policymakers. The results of this study would also augment the body of knowledge on human resource practices in both developed and developing countries.

This study found and reported authentic leadership traits and HPHR as the main sources of job performance in PTCL. This study empirically examined the influence of authentic leadership traits on job performance with the mediating role of a bundle of HPHRPs in a developing context.

Social exchange theory and social learning theory are widely employed in many disciplines but there is little application on the intention to leave and job performance among academic staff. Therefore, this study intends to examine the relationships among supervisor support, intention to leave and job performance along with mediating role of self-confidence in a developing context.

Data were collected through questionnaires from the academic staff of private Pakistani universities. The model was tested using data collected from 295 respondents by using structural equation modeling (SEM) technique.

The results revealed that supervisor support influenced job performance positively through the mediating role of self-confidence. Conversely, supervisor support influenced intention to leave negatively through the mediating role of self-confidence. In addition, the results also showed the direct effect of supervisor support on employees' job performance and intention to leave.

The results of this study suggest that the supervisor must provide adequate support to the academic staff, which helps them to develop their self-confidence. In addition, self-confidence is helpful for the employees to improve their job performance and reduce their intention to leave.

The study contributes to theory building in the area of supervisor support by enriching the understanding of the processes carrying the effect of supervisor support on desirable workplace outcomes. In addition, the study also explicates the less understood nature of relationship between supervisor support, job performance, and intention to leave through the mediating role of self-confidence in the Pakistani context.

Innovation is the basic input to organizational endurance; therefore, the study of processes that support innovation should be of interest to practitioners and researchers alike. Consequently, there is increasing attention for the supplementary research examination of the influencing elements of innovativeness.

The data were collected in 2018 using adapted questionnaires that were tested. The respondents were 446 employees of Pakistan Electric Power Company (PEPCO). Bivariate correlations and hierarchical regression were used for the data analysis.

The findings showed that the competing value framework (CVF) model of organizational culture may promote innovativeness that translates to the progress of PEPCO, which deserved barrier for everyone relying on the values made by the culture of the organization. The adhocracy culture is considered to be statistically suitable for the prediction of performance and enhancement of innovation in the organization. Based on the above findings, it may be deduced that innovation mediated the relationship between some particular types of organizational culture and performance.

The CVF model provides a supportive framework for the development of procedures that promote innovation in the organization. The focus of the CVF model highlighted employees' behavior and function of organizational culture, which can restrain or stimulate performance. This study reported and developed a basis for an empirical model based on the CVF model.

This paper found that the CVF model and innovation are mega sources of innovation at PEPCO. This work should be of interest in the area of innovation and performance improvement. There are very few empirical research studies on the relationship between organizational culture, innovation and performance, specifically in the context of developing countries. This is one of the very few studies conducted to empirically examine the influence of CVF model on performance through the mediating role of innovation in PEPCO.

This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools.

The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT in higher education. It also highlights the difficulties of detecting and preventing academic dishonesty and suggests strategies that universities can adopt to ensure ethical and useful use of these tools.

The paper concludes that while the use of AI tools, ChatGPT in higher education presents both opportunities and challenges. The universities can effectively address these concerns by taking a proactive and ethical approach to the use of these tools. This paper further suggests that universities should develop policies and procedures, provide training and support, to detect and prevent cheating intentions.

The paper provides insights into the opportunities and challenges of using ChatGPT in higher education, as well as strategies for addressing concerns related to academic dishonesty. The paper further adds importance to the discussion on the ethical and responsible use of AI tools in higher education.

This study aims to examine the impact of social advertising (informative, entertainment, credibility, ease of use, privacy and contents) on the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan along with the moderating role of brand image. Precisely, it focuses on the marketing techniques and strategies in social advertising to enhance buying behavior.

Using the convenience sampling technique, data was collected from 304 Muslim consumers during the Holy Month of Ramadan. Questionnaires were self-administered, and data was analyzed via Smart partial least square structural equation modeling.

Social advertising (informative, entertainment, credibility, privacy, ease of use, contents) and brand image have a positive relationship with the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan, while the brand image has nonmoderating effects. Furthermore, social advertising has a positive and significant relationship with the brand image.

This study is only limited to fashion clothing brands in the Malaysian Muslim community and is based only on the few dimensions of the theory of reasoned action and technology acceptance model (TAM).

Results clarified the impact of social advertising and brand image on the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan and the moderating role of brand image in achieving the business objectives.

This study has evaluated the effects of social advertising and brand image in enhancing the buying behavior of Muslim consumers during the Holy Month of Ramadan toward the fashion clothing brands along with the moderating role of brand image based on the theory of reasoned action and TAM model. Precisely, this study examined the unique characteristics of social advertising and the relative importance of informative, entertainment, credibility, ease of use, privacy and content in enhancing the buying behavior of Muslim consumers during the Holy Month of Ramadan, where consumers are emotionally involved in buying fashion clothing brands due to Eid al Fitr celebration.

This paper aims to analyze the influence of authentic leadership on knowledge sharing and employee’s creativity through the mediating role of team environment of psychological safety and trust.

The participants in this study were 60 team leaders and 300 team members’ working in different Overseas Employment Promoters Agencies (OEPA) at Islamabad region, Pakistan. In addition to the authentic leadership of their supervisors, employees reported their perception of being psychologically safe and in the environment of team trust at work, whereas supervisors rated employee’s creativity at work areas. Confirmatory factor analysis (CFA) was carried out using structural equation modelling (SEM) for validation of results among the variables.

The major findings of the study were (a) authentic leadership positively predicted knowledge sharing and employees’ creativity through the mediator’s role of team environment (psychological safety and team environment of trust), and (b) team environment of psychological safety and team environment of trust affected both the knowledge sharing and employee’s creativity.

Authentic leadership has to be synergized with environment of psychological safety and team environment of trust, to enhance employees’ creativity. The results of the study delineated practical applications for both the researchers and policymakers. The results of this study would also augment the body of knowledge on human resource practices in both developed and developing countries.

This is one of the first studies to empirically examine the influence of authentic leadership on knowledge sharing and employee’s creativity through the mediator role of team environment of psychological safety and trust in OEPA in Pakistan.

China Pakistan Economic Corridor (CPEC) projects are widely spread throughout Pakistan with the potential to have a massive impact on Pakistan’s economic future. CPEC projects have, therefore, made it imperative that green practices are adapted to provide sustainability to the CPEC projects. The adoption of green supply chain management (GSCM) framework will significantly increase the value attained from CPEC projects through the increased benefits to the socio-cultural and economic conditions of Pakistan without causing harm to the environment. The purpose of this paper is to identify and rank the GSCM practices for implementation in the construction industry of Pakistan according to expert opinion.

This study targets the experts who are employed as supply chain managers in the different construction industries of Pakistan. The opinions of these experts have been extracted through an online questionnaire that was based on six alternatives along with four criteria. The tool of multi-criteria decision making (MCDM) that is a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been used to analyze the results.

Six alternatives that have been used for this study are green design, green procurement, green production, green warehousing, green transportation and green recycling. The top-ranked alternative as a practice for GSCM is green warehousing followed by green production. The lowest ranked alternative in this study is green recycling. The alternatives have been ranked on the basis of “cc” values derived through TOPSIS.

As the advancement in the construction industry will definitely going to impact the environmental sustainability of the country, the results derived through this research will assist the managers of the construction industry of Pakistan to adopt best practices among green supply chain in order to lower their impact.

Framework using TOPSIS in order to find the best GSCM practice in Pakistan has not been reported before this study.

Supply chain (SC) managers influence firms in incorporating green behavior throughout the value chain in functions such as purchasing, production, distribution and transportation. In this study, we aim to understand the antecedents of pro-environmental behavior (PEB) in SC managers.

We develop a research model hypothesizing a direct role of SC managers' private green behaviors, subjective norms, personal and organizational barriers as factors influencing the manager's pro-environmental intentions. We also analyze the impact of these intentions on actual behavior. We surveyed managers working in the SC of manufacturing firms in a developing country and tested the research model using structural equation modeling.

Our results indicate that SC managers' personal barriers significantly influence intentions to act pro-environmentally and these intentions then predict their actual behavior. However, SC managers' private green behaviors do not spill over to their workplace. Furthermore, the study shows that organizational-level barriers and subjective norms may reverse green intentions.

This study contributes to the research literature by identifying the role of organizational, personal and social factors in modifying the SC managers' intentions. It provides useful insights into how these factors affect the behavior of SC managers. Thus, we extend prior work in the area of PEB to the SC environment.

Identifying if aid flows have contributed to economic growth or growth divergence between a sample of Asian and African countries is the purpose of this paper. Using data over the period of 1980–2015, the paper attempts to establish whether aid, in any of its forms, has played a role in economic growth in these countries.

A comprehensive literature analysis over the past 70 years sets the scene for the paper. A panel data fixed-effects model is applied for each sample (Africa and Asia) between 1980 and 2015. Both theoretical predictions and empirical studies are used to derive the independent variables selected for modelling.

The findings strongly suggest that aid flows in both the Asian and African samples have no relation at all to either long-run growth paths or growth divergence. However, there is a suggestion in the case of the Africa sample that governance decline may well be the primary source of growth divergence.

This result cannot be generalised because it only focuses on six countries but as demonstrated in the paper, other possible samples (from both regions) actually make no difference to the results. It could also be argued (given the comprehensive literature analysis presented here) that it is not essential to have a theoretical relationship between aid and growth because aid is given to different countries with very different characteristics, needs, governance and policy environments.

Donor countries must play a more supervisory role to ensure aid flows are directed to the right channels in recipient countries. Aid should be given to countries which have a certain degree of macroeconomic stability and “good” policy to ensure effectiveness. They also need to pay attention to the sectoral distribution of aid as do recipient countries to better allocate aid flows to productive sectors that contribute to both short- and long-term growth.

These are not given much emphasis in this paper.

Most aid–growth studies are based on a large number of countries from different regions with different characteristics or on a single country case. This paper compares between two samples of countries sharing the same characteristics to overcome the heterogeneity problem. This paper is based on a more protracted time series from 1980 to 2015 to capture more accurately the impact of foreign aid on economic growth.

With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.

This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.

Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.

At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.