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This study aimed to explore the relationship between supply chain resilience (SCR) and organizational performance (OP), with innovation (INN) serving as a mediator and information sharing (IS) acting as a moderator.

The study comprehensively examined the connections between SCR, OP, INN and IS. An exploratory approach and quantitative methods were employed. The data were collected from small and medium-sized manufacturing enterprises of three cities Xian, Hainan and Guangzhou of China via online questionnaire surveys conducted through Emails and WeChat. SmartPLS-4 was used for data analysis.

The findings indicated that SCR has a positive effect on sustainability efforts. Additionally, INN and effective IS both mediated and moderated this relationship, playing crucial roles in improving sustainability within the supply chain.

The study offered practical insights for businesses to enhance their sustainability efforts. Managers can use these findings to develop strategies that improve SCR, foster INN and encourage effective IS, ultimately resulting in a more sustainable supply chain.

This study enriched the existing knowledge base by investigating the intricate relationships among SCR, OP, INN and IS, all within the context of achieving sustainability. By exploring these elements holistically, the research introduced originality and highlighted effective strategies for sustainable supply chain management.

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.

This paper investigates the mediating role of employee awareness of artificial intelligence (AI) in the relationship between technological turbulence and knowledge hiding, with a focus on the moderating impact of change leadership.

The survey study adopted a quantitative approach to propose and test a model based on predictors of knowledge hidings. The survey approach received 320 respondent firms in the hotel management sector. The structural and measurement model was calculated using SmartPLS.

Employee AI awareness mediates the relationship between technological turbulence and knowledge hiding. Change leadership significantly moderates this relationship, reducing knowledge hiding by promoting innovative discussions and collaboration. High employee AI awareness can lead to knowledge hiding due to perceived threats to job security, but effective leadership mitigates this by fostering a collaborative environment.

The study highlights the importance of effective leadership in reducing knowledge hiding and emphasizes the need for a collaborative environment where employees view external partnerships as opportunities for learning and acquiring AI knowledge.

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 aimed to investigate the relationship between supply chain resilience and organizational performance with innovation as a mediator and information sharing as a moderator.

The study thoroughly explored how supply chain resilience, organizational performance, innovation and information sharing are connected. It used an exploratory approach and quantitative methods. Data were collected from large manufacturing firms through online questionnaire surveys using Google Forms, emails and WhatsApp.

The findings demonstrated that supply chain resilience positively impacts sustainability efforts. Furthermore, leveraging innovation and effective information sharing mediated and moderated the relationship, playing pivotal roles in enhancing sustainability within the supply chain.

The study provided actionable insights for businesses to strengthen their sustainability efforts. Managers could utilize these findings to implement strategies that enhance supply chain resilience, drive innovation and promote effective information sharing, ultimately leading to a more sustainable supply chain.

This study contributed to the existing body of knowledge by examining the complex relationships between supply chain resilience, organizational performance, innovation and information sharing in the context of achieving sustainability. The exploration of these components in a holistic manner added originality to the research and shed light on effective strategies for sustainable supply chain management.

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.

This study aimed to examine how knowledge sharing, knowledge management, supply chain efficiency and integration collectively impacted firm performance. Additionally, it investigated the moderating influence of reverse logistics on these relationships, seeking to enhance understanding of the complex dynamics within organizations.

A comprehensive method was used in the research design, combining a thorough evaluation of the body of literature with organized questionnaire data collection. Random sampling was used to collect data from Pakistani manufacturing companies, and PLS-SEM was used to analyze the collected data.

The findings demonstrated the strong positive relationships between knowledge management, integration, supply chain effectiveness, and information sharing and business performance. The study also showed that reverse logistics improved and moderated these correlations, highlighting the significance of managing reverse logistics well for the best possible company performance.

In terms of practical implications, the study offered organizations looking to improve performance useful information. Making informed strategic decisions was made possible by realizing the benefits of knowledge management, integration, supply chain efficiency, and sharing. The relevance of using successful tactics to maximize company outcomes was highlighted by highlighting the moderating effects of reverse logistics.

By thoroughly analyzing the connections between knowledge management, supply chain effectiveness, integration, and firm performance—while taking into account the moderating influence of reverse logistics—this study enhanced the body of existing literature. The discoveries significantly added value to this research topic by enhancing our understanding of how these elements collectively influence business performance, especially in the sometimes disregarded field of reverse logistics.

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.