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Islamic banking (IB) is growing rapidly not only in Islamic countries but also in all over the world. The purpose of this paper is to stumble on the features that have an impact on Islamic banking adoption (IBA) in case of Pakistan.

The identification of the factors that affect IBA has made by extending the theory of reasoned action (TRA). However, the conceptual model for this study includes knowledge (K), business support (BS), government support (GS), reputation (Rep), religious obligation (RO), cost-benefit (CB) and social influence (SI) as the independent variables. To test the conceptual framework data were collected through a survey by distributing the 400 questionnaires among users- and non-users of Islamic banks. Multiple regression analysis was applied to test the hypothesis of this study.

The findings of the study suggest that Rep, CB, RO and SI has a highly significant and positive influence on IBA. On the other hand, K, GS and BS have insignificant influence on IBA. The bottom line of this study suggests that more the ROs will be adopted by Islamic banks, more will be the tendency to adopt it by a bank customer in case of Pakistan.

The generalizability of the findings of this research is limited to IB.

Findings of the study present worthy insight especially for the practitioners to develop significant strategies to bridge the gap between industry and academia in case of IB.

This study is an extension of TRA.

The purpose of this study is to examine the vital link between manufacturing firms and the environment, delving into the intricate connections among factors affecting these firms. Specifically, it investigates how the environmental performance of manufacturing firms is shaped by their adoption of environmental management practices and the regulatory environment in which they operate.

Data are currently being collected through a structured questionnaire from employees working in manufacturing firms in Pakistan. Random sampling was used to select the participants. The hypotheses were tested using PLS-SEM analysis.

The study reveals a positive correlation between green manufacturing practices and superior environmental performance. Effective environmental management systems further help firms reduce their environmental footprint. External environmental regulations play a significant role as moderators, influencing the strength and direction of the relationship between green manufacturing, environmental management and environmental performance.

The practical implications offer valuable insights and guidance for manufacturing companies seeking to improve their environmental responsibility and performance. Additionally, policymakers gain insights into how regulatory frameworks can be designed or modified to better support sustainability efforts within the manufacturing sector.

This study offers timely insights for sustainable business practices, aligning with corporate responsibility efforts. It contributes to both academic knowledge and provides actionable guidance for fostering environmentally responsible practices in the manufacturing sector.

This study explored how COVID-19 moderated the relationship between organizational learning capabilities (OLCs), technological innovation (TI), supply chain management (SMC) processes and enterprise performance (EP). It aimed to give ideas on how organizations could change and do well during big disruptions.

Design: A structured questionnaire served as the data collection tool, employing a stratified sampling technique. Partial least squares (PLS) was utilized for data processing. Information was gathered from the automobile industry in Xian, China, providing an in-depth understanding of how COVID-19 moderated the variables under examination.

The study discovered that COVID-19 changed how organizational learning, TI, SCM and EP interacted. Some organizations had trouble keeping up with learning and innovation, but others used them to make their SCM stronger, leading to better performance. Also, different effects of COVID-19 were seen in various industries and organizations.

This study provided practical implications for managers, policymakers and practitioners. It emphasized fostering OLCs and TI as crucial for resilience during disruptions like COVID-19. Strategic investments in SCM were highlighted to mitigate disruptions and seize opportunities. Additionally, context-specific approaches were underscored for navigating pandemic-induced challenges.

This study enhanced existing literature by analyzing how COVID-19 moderated the link between organizational learning, TI, SCM and EP. Through diverse methodologies and organizational contexts, it offered fresh insights into dynamic organizational responses to disruptions, advancing both theoretical understanding and practical knowledge in the field.

The purpose of this paper is to find out empirically the relationship between foreign direct investment (FDI) and economic growth and it will also highlight the relationship status between the variables included in the model, either long‐ or short‐run in case of China.

This study uses secondary data obtained from World Development Indicators over the period 1985‐2009, whose viability has also been checked through the World Bank and IFS. An Augmented Dickey‐Fuller (ADF) unit root test is used to estimate an autoregressive distributive lag (ARDL) approach to co‐integration as the variables in the model are in I(1) and I(0) form and the Schwarz Bayesian Criterion (SBC) is used in this study to find out the estimated lags of the model, which are ultimately used to find out the short‐ and long‐run relationship of the variables included in the model. The error correction model (ECM) was also applied which basically provides information about the causal factors that may affect the variables included in the model.

The results provide evidence that there is an empirical relationship among FDI and economic growth. The computed value of F‐statistics is greater than the upper bond value described by Pesaran, M.H. et al., which depicts evidence against the null hypothesis of no effect and hence long‐run relationship among the variables is concluded at bottom line. Empirical evidence reveals that FDI has a positive effect on economic growth. An error correction model (ECM) is applied and the error correction term was negative and significant. This indicates that there exists a relationship between the variables. Diagnostic tests showed a lack of heteroscedisticity, confirming the validity of the model; CUSUM and CUSUMSQ tests were used to reveal the model's stability.

The Government of China should keep keen emphasis on the ingredients of this study so that China could reap maximum share of FDI through the achievement of positive spillovers of foreign investment, which ultimately results in its economic growth. However, the ingredients of this study depict the expenditures on security status, growth options as well as on infrastructure. This study also gives better impending in decision making about FDI in case of China.

This study bridges the gap between theory and practice and proves empirically the relationship between FDI and economic growth through auto regressive distributive lag approach (ARDL) to co‐integration in case of China. This research includes most dominating factors in the model which differentiate it from all previous empirical researches related to FDI's relationship with economic growth. However, this study not only pin points the new dominating factors related to this kind of relationship, but also set up a new horizon in the field of research to get groundbreaking results – in case of other countries – by following the footings set by this research.

This paper aims to empirically investigate the impact that financial sector reforms have on foreign direct investment (FDI) in Ghana.

Composite financial sector reform index was constructed, which was made up of various forms of reform policies that were implemented from 1987 to 2016. The auto regressive distributed lag bounds test was used to establish cointegration between variables. Having controlled for other covariates that affect FDI such as trade openness, exchange rate, gross domestic product per capita, inflation and by using the fully modified ordinary least squares method, the estimations are robust as it uses a semi-parametric correction to avoid for any possible issues of endogeneity and serial correlation.

Results from the paper reveal that financial sector reform deepening boost FDI with a 2.167% increase in FDI following from a unit percentage improvement of the financial sector reforms. Considering the various categories of reforms, the results reveal that competitive reforms have the highest impact on FDI followed by privatization reforms with positive and significant elasticity coefficients of 2.174% and 0.726%, respectively. Behavioral reforms revealed a positive effect on FDI, albeit insignificant.

The paper contributes to policy by providing empirical evidence on the effect of financial sector reform on FDI inflows in Ghana. As far as the review of literature is concerned, this paper provides the foremost empirical evidence on the subject with sole emphasis on Ghana. Thus, this paper suggests the deepening of the financial sector reforms, improving competition and maintaining macroeconomic stability.

The purpose of this paper is to investigate the causal link between foreign direct investment (FDI) and exports in China based on the knowledge capital model (KK model, Markusen, 2002).

The bootstrap Granger full-sample and sub-sample rolling window causality test is used to determine whether FDI can promote exports.

The full-sample causality test indicates no causal relationship from FDI to exports. However, considering structural changes of exports and FDI, the authors’ find that the full-sample test is not reliable. Instead, the authors use the rolling window causality test to revisit the dynamic causal relationship, and the results present significant effects from FDI on exports, mostly around periods in which the proportion of FDI from Hong Kong, Macao and Taiwan is increasing. Specifically, positive impacts of FDI on exports are stronger than the negative impacts in China.

The findings in this study suggest a significant time-varying nature of the correlation between FDI and exports. The promotion effect of FDI to exports is proved by the rolling window approach; it thus supports the KK model that divides FDI into lateral FDI and vertical FDI and proves that the constitution of FDI is critical to the relationship between FDI and exports.

China has been facing adjustment of its economic structure in recent years, and in this situation, increasing the proportion of FDI that can bring advanced production function is critical for the industrial structural adjustment.

This paper uses the bootstrap rolling window causality test to investigate the time-varying nature of the causality between FDI and exports, considering structural changes for the first time. The authors further deepen the previous research and draw a more realistic conclusion.

This study aims to measure whether admittance in the quarantine ward due to COVID-19 can affect one’s mental health. Nowadays, many countries worldwide are battling with the threat of the COVID-19 contagion, and it is difficult to understand how the pandemic leaves psychological impacts on one’s well-being.

This research used qualitative and quantitative approaches to assess the psychological impacts of quarantine due to COVID-19. Population of the present study were 250 patients who were admitted in quarantine centres of Pakistan. The data analysis was conducted through univariate analysis using (ANVOVA) software.

This study found that patients who were quarantined due to the COVID-19 infection displayed multiple psychological symptoms such as a lack of self-control, anxiety, low general health and vitality, depression and negative well-being.

There is an urgency to provide psychological treatments to each afflicted person and their family members to establish a healthy community.

This research investigates whether admittance in the quarantine ward due to COVID-19 can affect mental health in Pakistan.

The purpose of this paper was to examine whether or not the sponsor lock-up ratio, lock-up period, regulation changes and interaction variable (oversubscription [OSR]) affected initial public offering (IPO) initial return.

A complete sample of 111 listed IPOs in Pakistan stock exchange from 1996 to 2018 was incorporated. Based on the cross-section data, this paper estimated using ordinary least square and quantile least square for robustness. In addition to that, this paper estimated the data using stepwise least square to inspect the signalling aspect of the lock-up ratio, lock-up period and regulation changes on IPO initial return.

This study showed that the lock-up ratio, lock-up period and regulatory changes had a positive impact on the IPO’s initial return. Furthermore, the assertion of interaction variable (regulation changes × OSR) and (lock-up period × OSR) was a negatively significant factor in influencing the IPO’s initial return. The results of this paper were robust to endogeneity bias.

The finding of this study proposed that sponsors of IPOs can be a strong signal of risk or quality, which was consistent with the signalling theory prediction. Concurrently, investors must be aware of the total proportions of lock-up ratio so that they can estimate the chances of getting the highest initial return on IPOs. From the regulators’ point of view, it is suggested that the lock-up ratio and the lock-up period should be determined with a deeper understanding and incorporated into the equity guidelines as it is evident that these factors are priced by the market.

Studies on the effect of sponsors have always been centred on well-recognized firms. Therefore, using the IPO samples listed in Pakistan, this paper contributes to the IPO literature by investigating the lock-up ratio of the sponsor, the lock-up period and the regulatory changes to the initial IPO return. Additionally, OSR has been introduced as an interaction variable among the sponsors’ lock-up period and regulations changes to explain the ongoing IPO initial return phenomenon.

This study aims to investigate how abusive supervisor affects knowledge hiding (KH). Specifically, this study investigates employee silence as a mediating mechanism between abusive supervision and employees’ KH. Further, psychological ownership is examined as a buffer between abusive supervision and employee silence.

KH has become a major issue for both manufacturing and service sectors. Therefore, this study collected data from 322 employees working in manufacturing and service sectors through “Google Forms” during COVID-19. The respondents were contacted through LinkedIn platform between January and July 2021.

This study noted that when employees working in high-power distance cultures perceive their leaders/supervisors as abusive, they avoid confrontation and engage in silent behavior, which positively affects their KH behavior. However, employees with a high level of psychological ownership are less likely to respond to their abusive supervisors through silence because such employees feel a greater sense of belongingness and prefer to benefit their organization.

This study used a cross-sectional design that restricts causality. However, the findings of this study suggest management to focus on leadership style to minimize KH at the workplace.

To the best of the authors’ knowledge, this study is the first to explore the underlying mechanism (employee silence) and boundary condition (psychological ownership) to explain the association between abusive supervision and KH.

Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leadership (as boundary condition) to encourage IWB.

The study used social media platforms to collect data from 270 employees working in the IT sector through “google forms” on convenience basis between March and August, 2021. The study applied structural equation modeling in two stages to examine the measurement model (for uni-dimensionality) and the structural model (for hypotheses testing).

The study noted that knowledge sharing positively affects employees’ IWB and occupational self-efficacy positively explains this association. In addition, employees’ perception of entrepreneurial leadership strengthens the association between knowledge sharing and IWB.

The study collected data from a developing country during COVID-19 by using a cross-sectional design that may restrict causality. However, the findings suggest the management not only encourages knowledge sharing environment but also engages employees in various training that motivate them to experiment with new ideas and techniques.

This study extends the existing literature on knowledge sharing and IWB by exploring occupational self-efficacy as mediating mechanism and entrepreneurial leadership as a boundary condition.