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This study aims to map the “Desktop Research” (DR) output in Pakistan, as part of the growing field of research globally. It also ascertains the productive institutions and prolific authors along with their collaboration patterns.

Bibliometric techniques were used to quantitatively analyze the DR published in Pakistan. The publications from 1981 to 2021 were retrieved from Scopus. A total of 1,802 publications were retrieved and used for analysis.

Results indicated an unpredictable increase in DR output from approximately 100 to 400 records during the past five years. The year 2020 was most productive in DR research showing the excess use of secondary data by researchers in COVID-19. The focus of researchers towards DR was consistently rising. Medical journals were found to publish DR extensively. Majority of the publications were contributed by collaborative work and researchers of the USA were found as the most collaborative with Pakistani authors. Publications of single category journals, open access journals and international collaboration get more citations.

The results of the analysis rely only on a single database, Scopus, for retrieving the publication data.

The study has practical implications for the policymakers and higher education development organizations to introduce the DR as a course in academic schools.

To the best of the authors’ knowledge, this study is the first to review DR in the context of Pakistan through bibliometric analysis. This comprehensive overview provides a better understanding of the development of the field and possible practice implications.

The purpose of this study is to examine how fluid flow and heat transfer are affected by the influence of hybrid nanofluids flowing across a stagnation zone of a stretching curved surface. Stagnation point flow has garnered considerable attention over the past few decades. This is because many technical applications, such as the cooling of nuclear reactors and rotating equipment divisions, rely on stagnation-point flow.

A thorough analysis is conducted of the impacts of several regulating parameters on fluid flow and thermal performance, including the radiation parameter, heat source parameter, mixed convection parameter, porosity parameter curvature and nanoparticle concentration. The laws governing the field of flow equations are transformed by similarity substitutions into two nonlinear ordinary differential equations, which are then solved numerically using Maple. The MR-Solve technique in the built-in Maple package was used. The MR-Solve technique was used to numerically solve highly coupled ordinary differential equation problems. This approach produced highly precise and consistent results. It also provides the best performance while using a minimum amount of CPU and the shortest phrases.

The main conclusions of this study show that axial velocity drops, while radial velocity increases as the mixed convection parameter increases. The rate of heat transmission and skin friction is higher for hybrid nanoparticles with volume fraction percentile (0.01–0.03) than for those with volume fraction percentile (0.1–0.3).

Further research on this topic could examine a broader range of parameter values, suction/injection, entropy, mass equation, micropolar fluid, ternary hybrid nanofluid and Newtonian heating flow on a curved stretching surface.

By investigating a novel physical design that combines the various effect with stagnation flow, this study adds value and offers insights and prospective improvements in the discipline of heat fluid mechanics. Mathematical modeling or experimental studies in a variety of multiphysical contexts can be used to achieve this. Heat exchangers, crystalline procedures, microelectronic machines, systems for conserving energy, integrating operations, food manufacturing, climate control, purification and other engineering domains can all benefit from the geometric configurations investigated in this study. The results of this study greatly aid in optimizing thermal performance in a variety of application domains. This study is novel because it compares several volume fraction percentiles.

A stretching curved surface’s stagnation zone is traversed by hybrid nanofluids, offering insights into how curvature affects heat transfer and fluid flow efficiency. The results aid in the design and improvement of the energy transfer efficiencies for a range of commercial and biological purposes. The results offer possibilities for increased efficiency in a range of applications by developing hybrid nanofluid flow control methods and helping to create ideal thermal systems.

Drawing on ability-motivation-opportunity (AMO) framework, this study investigates the direct effect of innovation-oriented HRM on SMEs’ innovation performance, both directly and through intrapreneurial behavior. Besides, the study assesses the moderating role of innovation-oriented leadership in the relationship between innovation-oriented HRM and intrapreneurial behavior.

A two-wave dataset collected from 183 SMEs was used to test the proposed hypotheses by partial least squares structural equation modeling (PLS-SEM).

Findings suggest that innovation-oriented HRM positively impacts SMEs’ innovation performance directly and through intrapreneurial behavior. Evidence also confirms that innovation-oriented leadership positively moderates the effect of innovation-oriented HRM on intrapreneurial behavior.

Through the AMO framework, this study advances our understanding of how the interaction between innovation-oriented HRM and leadership fosters intrapreneurial behavior, ultimately contributing to superior innovation performance in SMEs.

The study recommends that SMEs implement innovation-oriented HRM practices to encourage intrapreneurial behavior and achieve superior innovation performance in SMEs.

Limited research has addressed the contributions of innovation-oriented HRM and leadership toward realizing strategic innovation objectives. Our study offers valuable insights into the functions of innovation-oriented HRM and leadership in stimulating intrapreneurial behavior, thereby enhancing the innovation performance of SMEs.

This research investigates the barriers impeding innovation within small- and medium-sized enterprises (SMEs) in Brazil, exploring 54 innovation-related barriers categorized into six distinct groups to offer substantial insights and analyses pertinent to the decision-makers, researchers and SMEs.

This research employed a mixed quantitative and exploratory approach, utilizing fuzzy Delphi, fuzzy analytic hierarchy process (AHP) and fuzzy decision-making trial and evaluation laboratory (DEMATEL) methods. The fuzzy Delphi method confirmed the categories and barriers through quantitative analysis, the fuzzy AHP ranked the validated obstacles and the fuzzy DEMATEL method identified causal connections among the top-priority barriers.

Out of 54 barriers, 23 significantly impacted SMEs. The “Financing and Financial” category was the most significant barrier, with “Access to Financing” being the most critical impediment. The barrier with the most influence was “Instability of Fiscal Policies,” and the highest causal priority was “Survival of the Priority Business,” identifying the government’s unstable fiscal policy as the principal barrier confronting SMEs in Brazil.

The primary challenges for Brazilian SMEs center on financing, fiscal policies and maintaining ongoing operations. By addressing these barriers and fostering a resilient business environment, SMEs’ innovation capabilities and competitiveness can be enhanced, serving as key drivers for sustainable economic growth in fluctuating economic conditions. This study contributes to the literature by highlighting and validating the main barriers to SME innovation, providing highly relevant information about the innovation process.

The aim of this study is to evaluate Big Data Analytics (BDA) drivers in the context of food supply chains (FSC) for transition to a Circular Economy (CE) and Sustainable Operations Management (SOM).

Ten different BDA drivers in FSC are examined for transition to CE; these are Supply Chains (SC) Visibility, Operations Efficiency, Information Management and Technology, Collaborations between SC partners, Data-driven innovation, Demand management and Production Planning, Talent Management, Organizational Commitment, Management Team Capability and Governmental Incentive. An interpretive structural modelling (ISM) methodology is used to indicate the relationships between identified drivers to stimulate transition to CE and SOM. Drivers and pair-wise interactions between these drivers are developed by semi-structured interviews with a number of experts from industry and academia.

The results show that Information Management and Technology, Governmental Incentive and Management Team Capability drivers are classified as independent factors; Organizational Commitment and Operations Efficiency are categorized as dependent factors. SC Visibility, Data-driven innovation, Demand management and Production Planning, Talent Management and Collaborations between SC partners can be classified as linkage factors. It can be concluded that Governmental Incentive is the most fundamental driver to achieve BDA applications in FSC transition from linearity to CE and SOM. In addition, Operations Efficiency, Collaborations between SC partners and Organizational Commitment are key BDA drivers in FSC for transition to CE and SOM.

The interactions between these drivers will provide benefits to both industry and academia in prioritizing and understanding these drivers more thoroughly when implementing BDA based on a range of factors. This study will provide valuable insights. The results from this study will help in drawing up regulations to prevent food fraud, implementing laws concerning government incentives, reducing food loss and waste, increasing tracing and traceability, providing training activities to improve knowledge about BDA and focusing more on data analytics.

The main contribution of the study is to analyze BDA drivers in the context of FSC for transition to CE and SOM. This study is unique in examining these BDA drivers based on FSC. We hope to find sustainable solutions to minimize losses or other negative impacts on these SC.

This study examines the roles of retail experience quality dimensions, customers’ in-shop emotion valence and in-shop involvement valence in shaping the holistic retail customer experience.

We conducted a total of 25 interviews with customers who have used services at non-fuel retail stores in Malaysia, commonly known as tuckshops, which are located adjacent to fuel stations. The data were analyzed using thematic analysis, which led to the identification of key themes and categories that informed the development of our conceptual framework.

This study identifies three dimensions of retail experience quality: physical surroundings experience quality, interaction experience quality and service innovation experience quality. These dimensions, which were previously unexamined, are shown to influence customer evaluations based on their interactions with the retail environment, employees and digital applications. Additionally, the study finds that these dimensions impact customers’ emotions and involvement valence, suggesting that even with negative experiences, high involvement and overall positive perceptions can still occur.

This study contributes to the literature in several ways. First, it identifies key retail antecedents that shape how customers interact with, interpret and evaluate the quality of their retail experiences. Second, it examines the complex nature of customers’ in-store emotions and involvement valence, highlighting the coexistence of positive and negative emotions in certain retail contexts. Third, the study offers practical insights for retail firms, urging them to adopt a holistic approach in addressing customer emotions and involvement across diverse retail service channels.

The study introduces new dimensions of retail experience quality and develops a framework linking these dimensions to customer emotions and involvement valence. Unlike previous research that has focused on either positive or negative aspects in isolation, this study offers a comprehensive view of how mixed emotions and involvement can impact the overall retail experience. It provides both theoretical insights and practical guidance for creating more balanced and engaging retail experiences.

Nowadays, it is hard to retain a knowledge monopoly since tacit knowledge has become essential for innovation and organizational effectiveness (ORP). This study analyzed the role of product innovation as a mediator in the relationship between the tacit knowledge management process (TKMP) and organizational performance. In addition, two moderating variables were examined: (1) Affective trust (AFT) between the tacit knowledge management process and product innovation relationship and (2) Task efficiency in product innovation and organizational performance (ORP) relationship.

Around 344 questionnaires were collected from various Chinese regions between February and April 2023 to conduct this study. The regression, mediation and moderation analyses on lower and higher-order data were evaluated using the SmartPLS approach.

The results validate that product innovation mediates the connection between managing tacit knowledge and the organization’s performance. Affective trust also plays a positive moderating role between tacit knowledge and product innovation. These results provide valuable theoretical and practical insights, substantiating various direct, indirect, mediate, and moderated effects hypotheses.

The scope of the study was restricted to manufacturing companies; however, further research may broaden the model’s scope to include other industries. Furthermore, future research should continue to explore the role of task efficiency in the innovation process and identify strategies for enhancing task efficiency in organizations.

The study establishes the significance of effectively managing tacit knowledge for fostering product innovation. Company managers and leaders can promote employee trust, enhancing innovation capabilities and overall organizational effectiveness.

This study, involving dual moderation, explores the connections between processes of managing tacit knowledge, product innovation and organizational performance. It addresses research gaps, enriching the understanding of managing tacit knowledge, leading to organizational innovation and performance improvements. The study also highlights how affective trust is vital in strengthening the connection between TKMP and product innovation.

Sustainable development goals (SDGs) have been attracting ever considerable attention from practice and academia, but the relationship between board characteristics and SDGs reporting remains unclear, especially in emerging countries. This paper empirically aims to the impact of board characteristics on SDGs reporting.

Based on stakeholder-agency theory, this study used data from 572 firm-year observations between 2017 and 2023 from top Malaysian-listed companies.

The result of feasible generalized least squares regression indicates that larger, more independent boards are associated with increased SDG disclosure. This suggests that well-structured boards can positively influence decision-making by reducing information asymmetries and agency conflicts. On the other hand, the results reveal that board activity insignificantly impacts the disclosure of SDGs. The findings are robust to robustness analyses and endogeneity checks.

This research offers significant implications for companies, practitioners and stakeholders, seeking to enhance their commitment to SDG implementation. In addition, the findings provide valuable insights for policymakers to encourage companies to diversify their composition boards and to promote strong, complementary governance mechanisms that align management behavior with sustainable business objectives.

The findings can enhance SDG reporting quality by improving materiality assessment disclosures. This increased transparency and accountability will empower corporate stakeholders to better evaluate the reporting entity’s underlying processes. Enhanced corporate SDG reporting aligns with Malaysia’s commitment to implementing the UN SDGs and transitioning to a sustainable future.

The findings offer fresh insights into a previously unexplored topic and highlight the important role of the corporate board in addressing and improving the corporate SDGs reporting of listed firms in Malaysia.

This study examines the impact of various macroeconomic, financial and institutional factors, including foreign direct investment (FDI), financial development (FD), freedom dimensions and institutional sub-systems on CO2 emissions across 30 countries over 23 years (2002–2023). The research aims to uncover both the short-term and long-term effects of these variables on environmental sustainability.

A Pooled Mean Group – Autoregressive Distributed Lag (PMG-ARDL) model is employed to analyze panel data from 30 countries over the period 2002–2023. The model was selected using the Akaike Information Criterion (AIC) to account for both long-term and short-term dynamics in the relationship between the studied variables and CO2 emissions.

The results reveal that in the long term, most variables, including FDI, financial development and economic freedom, have significant impacts on CO2 emissions, with varying directions. In contrast, short-term effects are largely insignificant, indicating that the environmental impacts of economic and institutional factors are more pronounced over extended periods.

The findings suggest that policymakers need to consider the long-term environmental consequences of economic and financial policies. For instance, while financial development and economic freedom may drive growth, they also contribute to higher CO2 emissions, necessitating a comprehensive and inclusive approach to sustainable development.

This study provides a comprehensive analysis of the interplay between financial, institutional and freedom dynamics and their impact on CO2 emissions, offering valuable insights for policymakers focused on achieving sustainable economic development. Using the PMG-ARDL model adds robustness to the findings by capturing both short-term and long-term effects.

This paper aims to study how corporate governance and country-related contextual factors affect the relationship between board gender diversity and environmental, social and governance (ESG) disclosure in its components: governance, social and environmental.

Using ordinary least-squares and two-stage least squares (2SLS) regressions, and retrieving ESG disclosure data from Bloomberg’s database, the paper analyses a sample of European nonfinancial listed firms (1,935 firm-year observations) over the period 2014–2022. The study adopts board independence and board cultural diversity as structural and demographic board attributes that characterize the corporate governance environment in which female directors operate; the enforcement of law and gender equality as country-related institutional and cultural factors.

Results suggest that female directors may substitute board independence in improving ESG and governance disclosure, whilst they co-occur with board cultural diversity in increasing ESG, governance and social disclosure. Findings indicate that the enforcement of law increases the positive effect of female directors on environmental disclosure and lowers the impact on governance disclosure. Conversely, a more gender-equal environment enhances female directors’ engagement in improving governance disclosure, reducing their beneficial effect on environmental information.

This study contributes to the literature suggesting that structural and other demographic board contextual aspects, as well as institutional and cultural country-related contextual factors, affect the relationship between board gender diversity and ESG disclosure differently and the effect may vary depending on ESG disclosure.