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This chapter is an autoethnographic account of my working-class background into the lonely world of academia. It shares a small glimpse into my life journey from an intersectionality lens of being British born, of Pakistani heritage and a Muslim male. Thus, my working-class identity is one of several challenging identities amalgamated into one and silently interchangeable. This chapter is a rare occurrence to view my world from an introspective position. It shares the heavy constraints and challenges those of us who come from marginalised groups face daily. You will read how I cannot sever integral parts of myself which are deeply infused with the academic I am becoming. All of which I have struggled to maintain both personally and professionally. Subsequently, this chapter shares the complexity of these identities, my constant negotiation of them and my ongoing adaptation of now being uncomfortably viewed as middle-class.

Housing prices have been increasing tremendously in Pakistan, there should be many reasons but the haphazard urbanization and rapidly growing population. To find out the causes of this price rise, this study aims to assess the impact of the foreign capital inflow and some domestic factors on housing prices.

To get the benefits of high-frequency data, it has been converted into a monthly, quarterly and yearly basis. The unit root is performed to see the stationarity, Johansen test is used for cointegration and coefficients are obtained through the ordinary least squares technique. The robustness of the results is checked with dynamic ordinary least squares and the Chow breakpoint test is used to detect structural breaks.

The housing prices have increased over time; this has been reflected in all the data sets under observation. The country has observed a rapid growth in population and urbanization that has badly affected almost every activity of city life. The impact of foreign capital inflow is positive on the house price appreciation. There is a dire need to divert such foreign funds in the housing sector so that it cannot create an artificial price hike. The government should regularly publish a housing policy for the guidance of investors and the public at large. Also, public authorities should provide housing finance facility.

This is a novel work to the best of the authors’ knowledge because no one has studied the impact of foreign capital inflow on the housing market for the economy of Pakistan. Furthermore, this study is different in the sense that it has disaggregated annual data into a monthly and quarterly basis to get the benefits of high-frequency data.

This study was intended to ensure learner-centred pedagogy in an open and distance learning environment by applying scaffolding and positive reinforcement techniques.

This study critically analysed the context and current instructional practice of Bangladesh Open University (BOU) via document analysis and literature review. The conceptual framework of this study was adapted from the ADDIE model, i.e. the analysis, design, development, implementation and evaluation model.

The study explored that the instructional practice of BOU was dominated by teacher-centred pedagogy. Hence, to ensure learner-centred pedagogy, the researchers developed three model lesson plans. These lesson plans infused the theoretical directives of scaffolding and positive reinforcement as well as several assessment tasks which can assess the learners’ lower-order and higher-order thinking skills. The researchers also presented possible challenges for the sound implementation of these model lesson plans and suggested pragmatic solutions accordingly.

This study recommended that the combined application of scaffolding and positive reinforcement would effectively ensure learner-centred pedagogy.

The local food tourism in Pakistan is increasing rapidly, and it attracts scholars to determine the factors affecting local food tourists' buying choices. Particularly, the authors aim to investigate the role of food consumption values on predicting domestic tourists' attitude toward local food and its effect on the intention to try local food with the moderating effect of personality traits (neophobia and neophilia).

The authors tested the study model on 250 completed responses from local food tourists. They collected the data from three tourism locations (Islamabad, Rawalpindi and Peshawar) in Pakistan. Their study utilizes the consumption value theory within the limits of Pakistan's local food tourism.

The empirical findings show that consumption values, such as price, emotion, interaction, epistemic value, location value and variety value, effectively explain the domestic tourists' attitude toward local food. The authors further report that food neophilia strengthens the local tourists' positive reception toward the local food. However, food neophobia weakens the direction between local tourists' attitude toward local food and the intention to try local food.

This study provides insights pertaining to tourists' local food consumption values (LFCVs) to a local destination owner and marketing manager to strategically work on LFCVs that are crucial for domestic tourists to derive their intention to try local food. Practitioners should work on domestic tourists who possess food neophobia trait and enquire them for their rejection or avoidance of a particular local destination. This will enable practitioners to bring innovation and development in the local destination, which ultimately promote local food tourism.

This study is the first to incorporate the variety and local value in tourists' LFCVs to predict local tourists' attitude toward local food. Additionally, the authors contribute to local food tourism by empirically studying the moderating role of personality traits (food neophilia and food neophobia) to examine the direction between local tourists' attitude and intention to local food.

Prior to the onset of the COVID-19 pandemic, women did nearly three-quarters of the world’s unpaid work. As institutional supports, including in-person school and community-based care for children, the elderly, and the disabled vanished early in the pandemic, many women’s caregiving responsibilities increased. In some cases, opportunities for paid employment disappeared due to layoffs and furloughs, while in others, paid work was no longer possible without access to the missing institutional supports. Either way, access to needed supports – financial, practical, and social – was diminished. The lapse of needed supports also had severe impacts on subgroups of women, including pregnant and post-partum women. A range of considerations – vaccine safety, social interaction and infection risk, disease severity – have posed serious challenges for pregnant and post-partum women. Across the board, women’s need for continuous access to better social, financial, and practical supports at home, in the community, and in the workplace was made even more evident by the COVID-19 pandemic.

This research paper aims to empirically analyse the impact of digital technologies and government support on the resilience of small and medium-sized enterprises (SMEs) during the COVID-19 pandemic; in other words, how SMEs survive and manage the negative impact of the health situation with the support of digital technologies and government policy. A questionnaire survey was employed based on a sample of 96 SMEs and was divided into three parts, which comprised 28 questions. The SPSS software was used to analyse the results. The significant findings indicate that digital technologies positively affect SMEs' resilience during the COVID-19 pandemic, combined with public support. This implies that digital technologies help SMEs be resilient and ensure their survival in a unique and challenging environment. This study has practical implications for different stakeholders to evaluate risks in health emergencies, filling a significant research gap in the literature. Furthermore, this research paper can provide empirical results on the potential impact of digital technologies used by SMEs and the availability of government support to survive during the COVID-19 crisis.

The concept of online shopping has been in vogue for the past two decades and is on the rise. Even developing countries like Pakistan are using electronic platforms to buy and sell goods and services, and the trend has been increasing ever since the COVID-19 pandemic. Drawing on the expectancy-disconfirmation theory, this study aims to test the e-service quality (E-SQ) and e-customer satisfaction (ECS) linkage with the mediating roles of functional values (FVs) and hedonic values (HVs).

The data have been collected from 298 customers of AliExpress and Daraz e-commerce platforms and analyzed using covariance-based structural equation modeling (CB-SEM).

The results of the study showed a significant positive relationship between E-SQ and ECS and indirect linkage through FVs and HVs have also been established.

E-commerce platforms, particularly in Pakistan, should place a strong emphasis on FVs by providing accurate product details, user-friendly navigation, transparent pricing and streamlined transactions. Customers' trust and confidence will increase if they have a smooth and effective online purchasing experience. Customer satisfaction may be influenced by regular platform functionality and usability changes.

The use of functional and HVs is considered to be a novel factor in testing the relationship between E-SQ and ECS.

Nearly four years have passed since the Bank of England closed down the London offices of the Bank of Credit and Commerce International (SA) along with the majority of the BCC branches and affiliates in over 70 foreign jurisdictions. The exercise has been only partially successful, and details of the liquidation process remain shrouded in a ‘conspiracy of silence’.

This research aims to determine the influence of environmental, social and governance (ESG) factors on market performance. The study shows the perspective of ESG on market performance. The study attempted to test the relationship between ESG and Tobin’s Q and the effect of control variables.

The study used panel data from a sample covering 720 firms and ran a fixed-effects model regression during the 2007–2019 period for eight European countries’ listed companies.

The findings reveal that ESG positively impacts Tobin’s Q. According to the findings, high company ESG performance boosts market performance via the moderator effect of competitive advantage. The results indicate that all control variables are significant. The firm’s leverage has a negative relationship with ESG. The size of the firm impacts ESG positively. Also, the results prove that the firm’s size and industry positively affect Tobin’s Q.

The findings of this study suggest that managers, practitioners and authorities interested in learning about ESG scores (ESGSs), market performance and competitive advantage might draw intriguing conclusions from the data. Managers can identify the appropriate levels of competitive advantage that improve market performance. Practitioners must determine whether fit, size, growth, leverage and industry could enhance market performance. The findings also give authorities and the board of directors information on future growth opportunities for the company and the country.

The research presents a vision of how ESG factors affect market performance. This study aims to identify the positive link between ESGSs and European market performance.