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Financial inclusion is a critical component of financial development, which disseminates accessible financial services to benefit all parts of society and consequently promotes economic growth. The study explores the dynamic common correlated effects of financial inclusion on economic growth in Organization of Islamic Cooperation (OIC) countries.

The conventional econometric techniques overlook heterogeneity and cross-sectional dependence and provide false results. Hence, a unique methodology, ‘Dynamic Common Correlated Effects (DCCE)’, is used, which can efficiently tackle the above-mentioned issues.

The DCCE estimation indicates a positive and significant impact of financial inclusion on economic growth in overall and higher-income OIC economies. Moreover, in the lower-income OIC group, financial inclusion is inversely correlated with economic growth, which converts into a positive linkage by including an interaction term of financial inclusion and institutional quality.

Based on the research outcomes, it is recommended that policymakers and governments of OIC economies seek to increase financial inclusion to achieve sustainable, optimal and inclusive economic growth.

The DCCE technique in this study considers heterogeneity and cross-sectional dependence among countries and thus provides robust findings.

The purpose of this paper is to investigate the currency union (CU) effect on aggregate intra-trade in the Economic Community of West African States (ECOWAS) and on bilateral trade among individual countries using the gravity model.

Using panel dynamic ordinary least square, we examined the short- and long-run CU effect on aggregate intra-ECOWAS trade and bilateral trade among ECOWAS countries from 1995 to 2010. Chow poolability test was conducted for the appropriateness of pooling the cross-section parameters as against individual model. The augmented Dickey–Fuller (ADF) test; the Phillips–Perron (PP) test; and the Kwiatkowski, Phillips, Schmidt and Shin (KPSS) test were conducted on the individual data series, and the Levin, Lin and Chu test; the Im, Pesaran and Shin test; the Breitung test; and the Hadri test were used for testing cross-sectional independent panel unit root tests. Kao panel cointegration test was conducted to identify long-run relationships.

We found evidence of significant positive CU effect on aggregate intra-ECOWAS trade. The estimates also show that Benin, Burkina Faso, Niger, Senegal and Togo trade more with countries they share common currency with than what they would have been in both short and long run. We again observed that CU is insignificant in explaining Cote d’Ivoire, Mali and Senegal intra-trade with ECOWAS countries, though their observed intra-trade with ECOWAS is relatively high which is found to be explained by export diversification.

The findings reveal that CU is good for aggregate intra-regional trade though some individual members respond negative to CU. The finding of diversification as a necessary tool to increase intra-regional trade imply that as effort of introducing single currency is being pursued rigorously, effort to diversify export or trade complement should not be overlooked.

There exist panel studies on CU on aggregate intra-regional trade in ECOWAS. However, there is a need to have country level study to identify CU effect on each country, as it is sensitive to country-specific factors which are unobservable in time series analysis of group of countries. Also, our group estimate differs in methodology in the sense that the dynamic generalised least takes care of endogeneity in trade gravity literature.

In this paper, the authors study the phenomenon of price clustering in the Pakistan Stock Exchange (PSX), a market viewed as one of the best-performing stock markets in the world during 2014–2017. The authors study the effect of stock-level variables on price clustering and analyze the determinants of the cross-sectional patterns of price clustering in the PSX, in particular the causal link between price clustering and political instability.

The authors' dataset comprises daily observations on 100 PSX stocks spanning from January 1, 2009 to June 30, 2019. The authors use multivariate regression and spectral analysis to shed light on the dynamics of stock price clustering in PSX.

The authors document abnormally high levels of stock price clustering, particularly on integer increments, in PSX. The nature of stock price clustering in PSX is consistent with the negotiation hypothesis of Harris (1991). The levels of stock price clustering on PSX are persistent and contain a cyclical component. Furthermore, the authors find that political uncertainty in Pakistan is a significant contributor to the high levels of price clustering on PSX. The authors' conclusions are robust to alternative econometric specifications and different measures of price clustering and political uncertainty.

The authors' findings are of interest to investors and policymakers. Since price clustering decreases market quality and degrades the information content of stock prices, the authors' study shows that price efficiency in PSX has not improved despite major reforms over the last decade. One practical implication of the authors' results is that investors should be cautious while rebalancing portfolios around political events such as general elections because stock price clustering increases in the PSX during these periods. As a result, stock prices are likely to deviate from their intrinsic values.

Research on price clustering is limited to developed markets, and emerging/frontier markets have been largely overlooked. The phenomenon of price clustering in the PSX has yet to be studied, despite the relevance of the PSX for emerging/frontier market investors.

The present study focused on information literacy education through a unique research lens, i.e. the Delphi process in developing countries. The primary aim of the study is to formulate an information literacy framework for higher education.

In total 13 experts from the field, including academicians and practitioners, were invited to build consensus on the components of an information literacy curriculum for library and information sciences or management postgraduate students.

The Delphi process was completed in three reasonable rounds to build consensus on eight information literacy course units, including computer, research, critical, information, domain-specific knowledge and copyright literacies in line with learning and communication skills. The panelists considered computer, research and critical literacies as the most significant components of an information literacy curriculum for postgraduates.

The proposed framework of information literacy curriculum may have considerable implications for educators, practitioners and researchers.

The study is unique as it focuses on developing a contextual and comprehensive information literacy education framework for information professionals.

The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both the short- and long-term, unraveling these complex linkages by employing an empirical approach.

This study benefits from a comprehensive set of econometric tools, including a multiequation vector autoregressive (VAR) system, Granger causality test, impulse response function, variance decomposition and a single-equation autoregressive distributed lag (ARDL) system. This rigorous approach enables to identify both short- and long-run dynamics to unravel the intricate linkages between Brent oil prices, housing prices, gold prices and stock prices in the UK and Norway over the period from 2005:Q1 to 2022:Q2.

The findings indicate that rising oil prices negatively impact house prices, whereas the positive influence of stock market performance on housing is more pronounced. A two-way causal relationship exists between stock market indices and house prices, whereas a one-way causal relationship exists from crude oil prices to house prices in both countries. The VAR model reveals that past housing prices, stock market indices in each country and Brent oil prices are the primary determinants of current housing prices. The single-equation ARDL results for housing prices demonstrate the existence of a long-run cointegrating relationship between real estate and stock prices. The variance decomposition analysis indicates that oil prices have a more pronounced impact on housing prices compared with stock prices. The findings reveal that shocks in stock markets have a greater influence on housing market prices than those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.

This study may have several limitations. First, the model does not include all relevant macroeconomic variables, such as interest rates, unemployment rates and gross domestic product growth. This omission may affect the accuracy of the model’s predictions and lead to inefficiencies in the real estate market. Second, this study does not consider alternative explanations for market inefficiencies, such as behavioral finance factors, information asymmetry or market microstructure effects. Third, the models have limitations in revealing how predictors react to positive and negative shocks. Therefore, the results of this study should be interpreted with caution.

These findings hold significant implications for formulating dynamic policies aimed at stabilizing the housing markets of these two oil-producing nations. The practical implications of this study extend to academics, investors and policymakers, particularly in light of the volatility characterizing both housing and commodity markets. The findings reveal that shocks in stock markets have a more profound impact on housing market prices compared with those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.

These findings could also serve as valuable insights for future research endeavors aimed at constructing models that link real estate market dynamics to macroeconomic indicators.

Using a variety of econometric approaches, this paper presents an innovative empirical analysis of the intricate relationship between euro property prices, stock prices, gold prices and oil prices in the UK and Norway from 2005:Q1 to 2022:Q2. Expanding upon the existing literature on housing market price determinants, this study delves into the role of gold and oil prices, considering their impact on industrial production and overall economic growth. This paper provides valuable policy insights for effectively managing the impact of oil price shocks on the housing market.

The study aims to describe the impact of supervisor’s and co-worker’s ostracism on the employee's responses (emotional, psychological and behavioral) through the mediation of employees' efficacy needs and relational needs. Moreover, psychological capital is treated as a moderator to handle the adverse responses of ostracized employees.

The study employed a three-wave quantitative research design to gather data from employees and their respective supervisors who belonged to various healthcare units (N = 510) using self-administered close-ended questionnaires. After that, SmartPLS software was used to analyze the data through a structured equation modeling (SEM) technique.

The empirical results of the study endorsed that ostracism adversely (negatively) affects employees' responses (comprised of emotional, behavioral and psychological). Moreover, the results revealed that employees' needs (efficacy and relational) mediate the relationship between ostracism experienced by employees (supervisor’ and co-workers’ ostracism) and their emotional, behavioral and psychological responses. In addition, it is also evidenced that employees' psychological capital improves the negative association between employees' needs and responses.

The literature in this domain is scarce, and the theoretical stance is weak due to the traditional approaches that are more concerned with the outcomes rather than analyzing the employee's conditional what they are going through. The present study enhances the knowledge of the transactional mode of coping and its application to ostracism in the workplace. The results of the current study may also support the practitioners in formulating interventions to foster a favorable workplace environment.

The purpose of this paper is to “identify”, “analyze” and “construct” a framework to quantify the relationships between several determinants of organizational preparedness for change in the start-ups during the COVID-19 emergencies.

Total interpretive structural modelling (TISM) is used to find characteristics that assist in analyzing the readiness or preparedness level before initiating a change deployment process in start-ups. A cross-impact matrix multiplication applied to classification (MICMAC) analysis is performed to determine the driving and dependent elements of change in start-ups.

From literature research and an expert interview, this study selected ten variables of change preparedness to explore inner interconnections and comprehend the inner connections factors. The findings depict that clarity of mission and goals, reward system, technological advancement and motivational readiness have been considered the most important readiness factor for deploying organizational change in start-ups during the COVID-19 emergencies.

This research will aid the management and researchers gain a better understanding of the factors that influence change preparedness. Constant observation of current changes in the start-ups and the external environment will aid in improving the quality of products or services provided by the start-ups during the COVID-19. The start-ups can use these criteria linked to change readiness. The priority of each element is determined using MICMAC analysis and ranking using the TISM technique, which assists start-ups in ordering the enablers from highest to lowest priority.

There is no research regarding factors influencing organizational readiness for change in start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to organizational readiness for change in start-ups. This gap inspired the present study, which uses the “Total Interpretive Structural Modelling (TISM)” technique to uncover change determinants and investigate hierarchical interconnections among factors influencing organizational readiness to change in start-ups during the COVID-19 emergencies.

This study aims to explore green practices within small and medium-sized enterprises (SMEs) and their implications for determining environmental performance. Targeting SMEs in Pakistan, the study examines the influence of green intellectual capital (GIC), innovation and creativity on environmental performance.

A comprehensive survey addressed top, middle, and lower-level managerial perspectives. A sample of 243 respondents was statistically selected, and the survey questionnaire was used to measure the key constructs of the study. Using a 5-point Likert scale, the study captured the respondents' insights regarding green practices. Data analysis was executed using SPSS for descriptive tests and Smart-PLS 4 for advanced structural equation modeling (SEM).

GIC significantly enhances green innovation within SMEs, leading to improved environmental performance. Green creativity is a crucial moderator, indicating that SMEs have higher creative approaches to counter environmental challenges. These findings accentuate the importance of fostering an environment that stimulates green creativity to uplift GIC in achieving environmental performance.

The study offers a profound understanding of how SMEs in Pakistan leverage GIC to elevate their environmental performance, thereby providing strategic insights for businesses aiming for sustainable growth.