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This study aims to investigate the everyday life information seeking behavior of transgender people in Pakistan.

A quantitative study, based on a survey design, was conducted to explore the everyday information needs of transgender people along with the types and frequency of using information sources. This study further explored the barriers to seeking everyday life information. Data were collected from 378 transgender people from Pakistan.

Music related information was the most important daily life information need and television appeared as one of the primary information sources frequently consulted by the transgender people. The respondents revealed a variety of challenges in accessing information including lack of education, lack of understanding about available information sources, biased treatment by the public and lack of technological skills. Furthermore, a statistically significant difference was found in everyday information needs and sources consulted on the basis of their age and education.

The findings provide a guideline to educate information providers, government agencies and other stakeholders about the information needs of this marginalized community in Pakistan. This study also suggests ways in which stakeholder may improve information systems and services to better assist transgender people.

This paper aims to identify, using a literature review and expert panel input, what impedes organizations from implementing sustainable procurement, particularly in an emerging economy context.

The extant literature review was carried out to explore and identify the barriers to sustainable procurement. Using interpretive structural modeling (ISM), the authors established a contextual relationship among the 22 identified barriers. These barriers are then classified into different categories, using the matrice d’impacts cross-multiplication appliqúe an classment (MICMAC) technique, based on their driving and dependence power.

The findings improve our understanding of the critical barriers and their direct and indirect effect on each other in obstructing sustainable procurement practices. The study is the first of its kind in identifying the barriers to sustainable procurement and developing a hierarchical relationship among barriers using an integrated ISM–MICMAC methodology based on data from an emerging economy (Pakistan). With a focus on sustainable practices, this study also responds to the United Nations Sustainable Development Goals.

The results of the hierarchical model help understand which barriers are the most crucial to be fixed immediately (i.e. absence of environmental laws and lack of consumer pressure) and how different barriers could influence each other, specifically in emerging economies. The practitioners can use the findings to make more informed decisions to mitigate the crucial barriers that could impede their goals of sustainable procurement.

The study is the first of its kind to identify the barriers to sustainable procurement and develop a contextual relation and hierarchical framework in the Pakistani context.

The purpose of this paper is to advance the theoretical perspective of complexity leadership paradigm to introduce shared leadership style as a precursor of taking charge behavior in public sector higher educational institutions (HEIs) of Pakistan. Moreover, this study unveils the underlying mechanisms of the climate of initiative and psychological safety for clarifying the link of shared leadership and taking charge.

The multi-source and multi-wave data were analyzed by employing double mediation analysis (PROCESS Model 4); using 282 valid responses obtained from a proportionate stratified sample of faculty members working in public sector HEIs of Pakistan.

The result indicates that shared leadership is a suitable style for governing the public sector HEIs and it fosters taking charge behavior in teaching faculty. Additionally, shared leadership creates climates that support initiatives and are psychologically safe that set stage for taking charge behaviors in teaching faculty of public sector HEIs of Pakistan.

This research has filled the gap of focusing on more collaborative leadership styles instead of traditional vertical leadership practices in public sector HEIs of Pakistan. Theoretically, this study suggests new insights into the contextual antecedents and mediating mechanisms of taking charge behaviors.

The complex network structure causes several disruptions in the supply chain that make risk management essential for supply chain management including halal supply chain (HSM). During risk management, several challenges are associated with the risk assessment phase, such as incomplete and uncertain information about the system. To cater this, the authors propose a risk assessment framework that addresses the issues of uncertainty using neutrosophic theory and demonstrated the applicability of the proposed framework through the case of halal supply chain management (HSCM).

The proposed framework is using the capabilities of the neutrosophic number which can handle uncertain, vague and incomplete information. Initially, the risk related to the HSC is identified through a literature review and expert’s input. Further, the probability and impact of each HSM-related risk are assessed using experts’ input through linguistic terms. These linguistic values are transformed into single-value trapezoidal neutrosophic numbers (SVTNNs). Finally, the severity of each HSM-related risk is determined through the multiplication of the probability and impact of each risk and prioritised the risks based on their severity.

A comprehensive risk assessment framework is developed that could be used under uncertainty. Initially, 16 risks are identified related to the HSM. Further, the identified risks are prioritised using the severity of the risks. The high-priority risk is “raw material status”, “raw material wholesomeness” and “origin of raw material” while “information integrity” and “people integrity” are low-priority risks.

HSM risk can be effectively assessed through the proposed framework. The proposed framework applied neutrosophic numbers to represent real-life situations, and it could be used for other supply chains as well.

The proposed method is effectively addressing the issue of linguistic subjectivity, inconsistent information and uncertainty in the expert’s opinion. A case study of the HSC is adopted to illustrate the efficiency and applicability of the proposed risk framework.

Significance of Knowledge The functional name of the Holy Quran is ‘huda’, the guiding light. It focuses divine light on each and every object separating thereby the right from the wrong' (al‐furqan). As this is accomplished by dint of knowledge (al‐ 'ilm). All these three guiding elements namely huda, furqan and ilm, are lined‐up by Allah, the Lord Providence (Rabb‐ulalamin), for earthly welfare (hasanah) and other‐worldly salvation (falah) of human beings. In Quranic context, knowledge, therefore, carries a great significance.

This study investigates the impact of the COVID-19 pandemic on investors' sentiments, behavioral biases and investment decisions in the Pakistan Stock Exchange (PSX).

The authors have assessed investors' behaviors and sentiments and the stock market overreaction during COVID-19 using a questionnaire and collected data from 401 investors trading in the PSX.

Results of structural equation modeling revealed that the COVID-19 pandemic affected investors' behaviors, investment decisions and trade volume. It created feelings of fear and uncertainty among market participants. Evidence suggests that behavioral heuristics and biases, including representative heuristic, anchoring heuristic, overconfidence bias and disposition effect, negatively influenced investors' decisions at the PSX.

This study will contribute to behavioral finance literature in the context of developing countries as it has revealed the impact of COVID-19 on the emerging stock market, and its results are generalizable to other emerging stock markets.

The findings of this study will help academicians, researchers and policymakers of developing countries. Academicians can formulate new behavioral models that can depict the solutions of dealing with an uncertain situation like COVID-19. Policymakers like the Securities Exchange Commission and the PSX can formulate crisis management strategies based on behavioral finance concepts to cope with situations like COVID-19 in the future and help lessen investors' losses in the stock markets. The role of the Securities Exchange Commission is crucial as it regulates the financial markets. It can arrange workshops to educate investors to manage their decisions during crisis time and focus on the best use of irrational and rational decision-making at the same time using Lo (2004) adaptive market hypothesis.

The novelty of the paper is that the authors have introduced overconfidence and disposition effect as mediators that create a connection between representative and anchoring heuristics and investment decisions using primary data collected from investors (institutional and retail) to demonstrate the presence of psychological biases during COVID-19, and it has been done for the first time according to authors' knowledge. It is a contribution and addition to the behavioral finance literature in the context of developing countries' stock markets and their efficiency.

Understanding the important patronage factors of Islamic credit card as a new e-commerce banking service is essential for bankers and users. Although some previous studies have focused on the factors that influence adoption of Islamic credit card, there are few empirical research studies that use a well-established adoption model that helps bankers and consumers to accept and use the Islamic credit card. This study aims to provide such a model to facilitate the adoption of Islamic credit card.

In response, a conceptual model was developed that combines the Technology Acceptance Model (TAM) with perceived religiosity (a new developed construct in this study) and trust to explain usage intention of this new banking product. Accordingly, the data were collected from 327 bank customers, and the results supported the applicability of TAM to describe usage behavior of Islamic credit card. Besides, the newly developed construct (perceived religiosity) increased the TAM power regarding explaining adoption of a new e-commerce banking service.

Theoretically, the results of this study advocate that perceived religiosity increase the TAM predictive power to clarify intention to use. While, perceived usefulness, perceived ease of use and attitude explained low level of the variance regarding intention to use, by adding perceived religiosity to TAM, these constructs contributed to an increase in the described variance, therefore offering a better explanatory power. In addition, the proposed joint TAM, perceived religiosity and trust explained 57.1 per cent of usage behavior variance. These results are of prime importance, as, to the best of the authors’ knowledge, this is the first study that proves the applicability of TAM for explaining adoption and usage of the Islamic credit card.

The findings of the current study showed that perceived usefulness is an important factor effecting people’s intention to use the Islamic credit card. Consequently, managers need to first ensure that the Islamic credit card and its services are technically sound and work in an appropriate manner. The focus should be on promoting speed, efficiency and effectiveness of this new product. In financial part, there is a need to reduce the interest rate in the long run to encourage potential users to consider the usage of the Islamic credit card and its offered services.

This study aims to explore the personality traits (agreeableness, extraversion, conscientiousness, openness to experience and neuroticism) of the students. The differences among the personality traits of students toward social networking sites (SNS) usage, benefits and risks are also analyzed.

Two instruments including; BFI scale and self-structured instrument, were administered to collect data. Kruskal–Wallis test was applied to determine the differences between the personality traits of students.

Results revealed that the majority of the students (298) possessed openness to experience, while only 12 possessed extraversion in their personality traits. Moreover, students possessing the extraversion trait use more SNS that impact negatively, while, students of the conscientiousness trait use SNS moderately that impact positively on their health, education and daily routine life. However, students of neuroticism are increasingly more users of SNS without considering the benefits or risks of SNS. Moreover, students having extraversion and conscientiousness traits can more judge the benefits and risks of SNS as compared to other personalities’ students. A significant difference was found among the personality traits of student’s use of SNS and risks while no difference was observed toward SNS benefits.

The findings of this study will help the students studying in different Pakistani universities/institutions to identify their personality traits and reduce the negative effects of SNS.

This study investigates the dependencies between the Global Food Security Index (GFSI) and its affordability-related indicators using Bayesian belief network (BBN) models. The research also aims to prioritise these indicators within a probabilistic network setting.

The research utilises BBN models to analyse data from 113 countries in 2022. Nine indicators related to food affordability, including income inequality, safety net programmes and trade freedom, are examined to understand their impact on food security. The methodology involves statistical modelling and analysis to identify critical factors influencing food security and to provide a comprehensive understanding of the global food affordability landscape.

The study reveals that income inequality, the presence and efficacy of safety net programmes and the degree of trade freedom are significant determinants of food affordability and overall food security outcomes. The analysis reveals marked disparities in performance across different countries, highlighting the need for context-specific interventions. The findings suggest that improving safety net programmes, implementing trade policy reforms and addressing income inequality are crucial for enhancing food affordability and security.

This research contributes to the literature by using BBN models to comprehensively analyse the relationship between the GFSI and affordability-related indicators. The study provides novel insights into how different socioeconomic factors influence food security across a diverse range of countries. The study offers actionable recommendations for policymakers to address food security challenges effectively, thereby supporting the development of more equitable and resilient food systems globally.

The purpose of this study was to investigate the relationship between electricity access, population growth and economic growth in Pakistan.

Phillips–Perron unit root test was applied to check the stationarity of the variables and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was used to investigate the causality link between the study variables. Finally, a projection method was applied to check the future trend of the variables.

The study results show the long-term connections among the variables; further, the results illustrate that the electricity access to the urban population and the urban population growth has a significant impact on the economic growth, while the electricity access to the rural population and the rural population growth has a negative impact on the economic growth in Pakistan.

The electricity sector needs further attention from the Government of Pakistan to boost the production from different energy sources, such as oil, gas, solar, nuclear and hydropower to be able to fulfill the country’s growing demand.

By using the ARDL bounds testing approach to co-integration, this study addressed the literature gap regarding electricity access, population growth and economic growth in Pakistan.