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This paper argues that teachers’ promotion should also have an impact on turnover intention. The purpose of this paper is to determine the relationship between promotion and turnover intention of advance learning institutions of the Khyber Pakhtoon Khwa Province of Pakistan and the moderating effect of the analytical cognitive style.

A quantitative approach is used predominantly. A questionnaire survey research design is used to collect the data from the entire province and 502 completed questionnaires were collected from the respondents. The questionnaire included the Job Descriptive Index consisting of seven items on job satisfaction, the turnover intention questionnaire consisting of three items and a five-point Likert scale used to determine cognitive style index (CSI); the CSI was used. The fourth section included an open-ended questionnaire and the fifth section included demographic variables. Hierarchical multiple regressions were used to check how much variance promotion occurs upon turnover intention and it also determined how much variance analysis cognitive style occurs upon promotion and turnover intention of advance learning institutions of the KPK province of Pakistan. The correlation results from a bivariate Pearson correlation showed significant results, which were later strengthened by the regression results.

The findings suggested that a negative relationship was found between promotion and turnover intention, whereas a weak correlation was found between promotion and analytical. Moderating results show that analytical cognitive style does act as a moderator between the promotion and turnover intention.

This research was only carried out on advance learning institutions; thus, the findings can only be generalized to higher education institutions in the Khyber Pakhtoon Khwa state.

This extended model of job satisfaction will be useful to lead to changes in job satisfaction and turnover intention of academicians of the Khyber Pakhtoon Khwa province of Pakistan. The findings of this study could be used to guide the management of advance learning institutions and professional academicians to build targeted learning activities around key components of the academician’s promotion, determine where individuals are in their journey, set personalized goals and provide feedback to the management in the process of the development of policies for academicians of advance learning institutions.

The findings of this study will help the higher education commission of Pakistan to make policies that will enable higher education institutions to formulate flexible promotion policies for teachers in order to retain them.

The findings of this study are a valuable extension of the relevant research as this is the first empirical study to examine the effects of cognitive style on promotion policies and turnover intention in advance learning institutions of Pakistan. In the context of an efficient and effective educational policy, a greater understanding of an academician’s promotion could facilitate the development of a more effective policy practice that would increase not only the job satisfaction of the academicians but decrease the turnover intention of the academicians.

This study aims to investigate the relationship between transformational leadership style and factors of employees’ reactions towards organizational change in the telecommunication sector of Pakistan. Furthermore, to understand the importance of followership it has been analyzed as a moderating variable in the relationship between transformational leadership style and factors of employees’ reactions.

A mixed methods study design was applied to investigate the factors underlying the phenomenon of transformational leadership and organizational change. A quantitative research design was followed by qualitative research questions to get more in-depth insights into the used relationships. The primary purpose of the qualitative study design was to support and strengthened the results of the main quantitative research design.

The results of the study showed that transformational leadership style was positively related to all three factors of employees’ reactions (frequency of change, trust in management and employees’ participation) towards organizational change. Moreover, followership has a significant effect on the relationship between transformational leadership style and factors of employees’ reaction.

This study suggests that for successful implementation of change in organizations, the employees play an important role and that managers with transformational leadership behaviour play a critical role in shaping positive change reactions. This study also highlights that both transformational leadership and followership are essential elements in shaping recipients’ reactions, with active followers contributing to the role of leadership in the change process.

This study is the first attempt specifically in Asian context to highlight the role of followership as a moderating variable in leadership theory in the organizational change context.

The purpose of this study is to investigate the role of followership dimensions of active engagement (AE) and independent critical thinking (ICT) in leader green behavior (LGB), and how followers' pro-environmental behavior (FPEB) moderates between the proposed relationship.

The data was collected from 381 employees working in different small and medium enterprises (SMEs) of Pakistan, through a structured questionnaire with five points Likert scale. The proposed hypotheses were tested by using Smart-partial least square (PLS).V.3.

Results showed a significant positive impact of followership dimensions on LGB. Moreover, the findings of the study substantiated the moderating role of FPEB between the direct relationship of ICT and LGB, but no significant moderation of FPEB in case of the relationship between AE and LGB was observed.

This paper argues that organizational effective green leadership can be enhanced by followership dimensions of AE and ICT, and by participation of followers in pro-environmental behavior. This has been largely overlooked in the past studies.

The study attempted to empirically test the “Reversing the Lens” perspective by Shamir (2007) in the context of green human resource management (HRM). This study extends a distinct theoretical contribution to the social exchange theory (SET) by focusing on the fact that follower's role is equally as important as that of a leader in the effective leadership process.

The purpose of this paper is to investigate the role of followership dimensions in the transformational leadership process by reversing the lens from the traditional leader-centric perspective to emerging followership perspective and examine the role of trust as a mediating variable in the proposed relationship.

Using quantitative method data were collected through a questionnaire from 506 respondents of the telecom sector in Pakistan. The proposed hypotheses were tested using SPSS V.23 and PROCESS V.3.1.

The results indicate that followership dimensions (active engagement and independent critical thinking) positively affect all the four constructs of transformational leadership (idealized influence, inspirational motivation, intellectual stimulation and individualized consideration). Furthermore, trust in leadership partially mediates the direct relationship between followership dimensions and transformational leadership constructs.

This study is conducted in a developing country context which limits its generalizability in other cultural backgrounds. Hence, further investigation could test the role of followership using different samples and methods.

Organizations need to pay more attention to followers’ development to produce better followership outcomes that will ultimately help establish strong relationships with transformational leaders and sustained positive outcomes.

This study empirically tests Shamir’s (2007) “reversing the lens” perspective and extends a distinct theoretical contribution to the social exchange theory that neither followers are passive participants, nor always on the receiving end of the relationship but they actively participate to establish a strong relationship with their leaders.

In the past two decades, the problem of gender disparities in the use of internet has attracted a remarkable interest of researchers. Several studies revealed that female internet users were the disadvantaged group than males, because they had not the same access, experience and use frequency regarding the internet use. Moreover, the negative attitude of the society towards the females’ internet use also made them disadvantaged group. Prompted by these observations, this paper aims to examine gender differences in the use of internet among graduate students of a developing society – in public sector universities of Khyber Pakhtunkhwa, Pakistan.

Quantitative research design using a questionnaire was used for data collection. Data were analyzed through SPSS version 20.0 by using descriptive and inferential statistics.

The findings of this study, similar to previous studies, revealed differences among men and women. Majority of men possessed PCs and were more experienced than women. In addition, they were more skilled and faced problems of computer anxiety and distance with less intensity than women. In addition, women used internet mainly for social interaction, communication, entertainment and were more satisfied with some of the educational resources than men. However, men were more satisfied than women regarding the use of most educational internet resources and spent more time on these than women.

This is the first study in Pakistan that deals with gender differences in the use of internet among graduate students of a developing society – in public sector universities of Khyber Pakhtunkhwa, Pakistan.

Employee knowledge is an essential contributor to managing supply chain ambiguities and supply improvement. The current research examined green technology (GT) implementation and knowledge management (KM) processes toward knowledge worker supply performance (KWSP). The present study postulates that GT implementation's positive impacts on the KM process and KM process lead to improved KWSP based on employee knowledge contribution.

To accomplish the research objective, the data were taken from those production houses that are utilizing GT. A total of 400 questionnaires were distributed in Zhengzhou city, and feedback was received (343). The feedback data were studied through partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). fsQCA is used to analyze improving the multiple configurational paths of KWSP.

The study revealed that GT implementation is positively associated with the KM process, and KM processes substantially influence the improvement of KWSP. The consequence of fsQCA demonstrated that various combinations improve supply chain performance. The study combines certain dimensions of GT implementation with the KM process, revealing that supply chain performance improved based on knowledge sharing in manufacturing firms.

This study guides decision-makers and academics on using the knowledge process associated with GT to improve supply chain performance. Moreover, future researchers should use information technology in supply houses and compare the result with the literature to generalize the results better.

The asymmetric technique assists in differentiating the connections that are not directly investigated by the traditional symmetric method. The study covers and identifies various approaches that can be used in manufacturing firms to improve the supply chain process and employee satisfaction. The study combines the two techniques to understand supply performance based on knowledge sharing in manufacturing firms.

This study aims to explore the relative efficiency of the working capital management (WCM) for Emirati firms before and during the coronavirus crisis. Next, this study explores the potential impact of WCM on the likelihood of financial distress.

A data envelopment analysis (DEA) was applied to assess the relative efficiency of the WCM. This study uses the emerging market Z-score model to predict the likelihood of financial distress. The logistic regression was applied to investigate the impact of the efficiency of WCM on firms’ financial distress.

The results of this study model showed a negative and significant influence of the efficiency of WCM on firms’ financial distress likelihood.

The findings have important implications for many stakeholders, including decision makers, WC managers, financiers, investors, financial consultants, researchers and others, in increasing their awareness of firms’ WCM performance before and during the crisis. Further, the results could have implications for trading strategies as investors seek attractive economic gains from their investment in firms that care about WCM.

The implications of WCM performance on social interests would cause firms’ decision makers to operate efficiently and achieve the best practices to minimise the probability of firms' financial distress.

This study advances a novel contribution to the literature by introducing a novel model to assess WCM based on DEA technology.

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.

Recently, reverse logistics (RL) has become more prominent due to growing environmental concerns, social responsibility, competitive advantage and high efficiency by customers because of the expansion of product selection and shorter product life cycle. However, effective implementation of RL results in some direct advantages, the most important of which is winning customer satisfaction that is vital to a firm’s success. Therefore, paying attention to customer feedback in supply chain and logistics processes has recently increased so that manufacturers have decided to transform their RL into customer-centric RL. Hence, this paper aims to identify the features of a mobile phone which affect consumer purchasing behaviour and to analyse the interrelationship among them to develop a framework for customer-centric RL. These features are studied based on website analysis of several mobile phone manufacturers. The special focus of this paper is on social media data (Twitter) in an attempt to help the decision-making process in RL through a big data analysis approach.

A portfolio of mobile phone features that affect consumer’s mobile phone purchasing decisions has been taken from website analysis by several mobile phone manufacturers to achieve this objective. Then, interrelationships between the identified features have been established by using big data supplemented with interpretive structural modelling (ISM). Apart from that, cross-impact matrix multiplication, applied to classification analysis, was carried out to graphically represent these features based on their driving power and dependence.

During the study, it has been observed from the ISM that the chip (F5) is the most significant feature that affects customer’s buying behaviour; therefore, mobile phone manufacturers realize that this is to be addressed first.

The focus of this paper is on social media data (Twitter) so that experts can understand the interaction between mobile phone features that affect consumer’s decisions on mobile phone purchasing by using the results.

In a modern business scenario, firms have implemented customer-centric approaches to enable customer relationship management (CRM) to trigger business excellence. Business strategies are modernizing business marketing operations that mainly focused on the retention of profitable customers. The purpose of this study is to empirically investigate the impact of marketing strategies (MS), information technology support (IT-S) and knowledge sharing (KS) in the effect of CRM in the pharmaceutical sector of Punjab, Pakistan.

Data were collected from the field force of national and international pharmaceuticals companies (N = 263) through a convenience sampling technique. Partial least squares structural equation modeling was used to examine data in SmartPLS 3.2.6.

The results indicated that IT-S and KS mediate the relationship between MS and CRM. More specifically, MS positively develops CRM through IT-S and KS.

This research contributes to the existing literature of pharmaceuticals by disclosing the field-force (medical representatives) specific role in developing CRM performance between pharmaceuticals firms and health-care physicians that are mainly based on knowledge advancement and influence these firms to adopt customer-centric business approaches to gain a competitive advantage to drive firm profitability.