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The coating process is broadly employed in the manufacturing of wallpapers, adhesive tapes, wrapping, protection of fabrics and metals, X-ray and photographic films, beautification, books and magazines, film foils, magnetic records, coated paper, etc.

In this study, an incompressible flow of non-Newtonian fluid is modeled to inspect the rheological behavior of finite coating thickness in the reverse roll coating process. With the assistance of lubrication approximation theory (LAT), the dimensionless form of governing expressions is simplified. Exact solutions for distributions for velocity, flow rate, temperature and pressure gradient attained utilizing perturbation technique and their variation is presented as well as discussed in graphs. Meanwhile, some important factors from an engineering perspective including coating thickness and transition point were calculated mathematically and are displayed in a tabular manner. Also, streamlines are drawn to observe the flow pattern.

Prandtl fluid parameters provide a controlling factor to regulate the flow rate, velocity, coating thickness, and pressure gradient leading to an efficient coating process. Moreover, the Brinkman number and Prandtl fluid parameters significantly improve the temperature distribution.

In the literature, this study fills a gap in the theoretical prediction of coating thickness rheologically influenced by Prandtl fluid in reverse roll coating process.

The purpose of this study is to examine the role of personality traits (PTs) of individual investors on their investment intention (II). Further, to study the mediating role of overconfidence (OC) bias and financial literacy (FL) on the relationship between PTs and II.

The present study uses the quantitative approach for the data collection from the sample of 327 Indian investors investing in the stock market. The questionnaire was divided into segments to assess the investor’s PTs, OC, FL and II. The PT has been measured using the Big Five Personality Traits. Confirmatory factor analysis was used to test the reliability and validity of the constructs. The hypothesis was tested using structural equation modeling.

Findings of the study show that the PTs of an individual investor are associated with FL and II but insignificant with OC bias. Further, the FL and OC bias have a positive and significant influence on II. In addition, the mediation analysis showed that FL partly mediates the relationship between PTs and II.

The present study is helpful for financial companies, government, personal finance advisors and individual investors; they can keep in mind the behavior-related traits that can influence the investment decisions and design the portfolio accordingly. The policy-makers can implement programs on FL to enhance investment decisions in India.

This paper is unique that covers the mediating role of psychological bias, i.e. OC bias and FL, between the PTs and II of an Indian investor.

The present study aims to encompass the bidirectional magnetized flowing of a hybrid-nanofluid over an unsteady stretching device with the inclusion of thermal radiation and entropy generation. Brick-shaped nanoparticles (zinc-oxide and ceria) are suspended in water, serving as the base-fluid to observe the performance of the hybrid mixture. The Maxwell thermal conductivity relation is employed to link the thermophysical attributes of the hybrid mixture with the host liquid. Additionally, a heat source/sink term is incorporated in the energy balance to enhance the impact of the investigation. Both prescribed-surface-temperature (PST) and prescribed-heat-flux (PHF) conditions are applied to inspect the thermal performance of the hybrid nanofluid.

The transport equations in Cartesian configuration are transformed into ordinary differential equations (ODEs), and an efficient method, namely the Keller-Box method (KBM), is utilized to solve the transformed system. Postprocessing is conducted to visually represent the velocity profile, thermal distribution, skin-friction coefficients, Bejan number, Nusselt number and entropy generation function against the variations of the involved parameters.

It is observed that more entropy is generated due to the increases in temperature difference and radiation parameters. The Bejan number initially declines but then improves with higher estimations of unsteadiness and Hartmann number. Overall, the thermal performance of the system is developed for the PST scenario than the PHF scenario for different estimations of the involved constraints.

To the best of the authors' knowledge, no investigation has been reported yet that explains the bidirectional flow of a CeO2-ZnO/water hybrid nanofluid with the combined effects of prescribed thermal aspects (PST and PHF) and entropy generation.

Innovation goes beyond creation, concentrating on enhancement, which is essential for advancement. Since 1998, the European Journal of Innovation Management (EJIM) has been a leading forum dedicated to thought leadership and research on the advances in innovation management. Given that EJIM has run over two decades, the time is now opportune to reflect on the journal's contributions to innovation management. Thus, this paper aims to retrospectively review the productivity, impact and knowledge of innovation management research in EJIM.

This paper adopts a bibliometric methodology to engage in a retrospective review of EJIM. The bibliographic data of 757 papers published in EJIM from 1998 to 2021 were retrieved from Scopus and analyzed using performance analysis and science mapping techniques.

The productivity (publication) and impact (citation) of innovation management research curated by EJIM have grown prolifically over time. Though EJIM operates with a European title, the journal receives and publishes contributions worldwide (e.g. Asia, Europe, North America, South America and Oceania). Noteworthily, the knowledge of innovation management research in EJIM can be divided into four categories: basic themes (general), which comprise innovation, open innovation, new product development and product and process innovation; motor themes (well-developed), which consist of organizational culture and innovation and leadership and creativity; niche themes (very specialized), which include dynamic capabilities and business model innovation; and emerging or declining themes (weakly developed or marginalized), which is made up of research and development (R&D) and green innovation.

This paper offers a seminal retrospection of EJIM and the journal's productivity, impact and contribution to innovation management.

Green practices are essential for sustainability. However, it is challenging due to the socioeconomic and environmental concerns. Similarly, after the induced SDG-12 and SDG-13 by United Nations, the pressure groups forced manufacturers to consider sustainability. Therefore, this research aims to examine the sustainability through multifaceted green functions in manufacturing is examined.

Data were collected from 293 supply chain professionals of manufacturers from a developing economy. Hypotheses were tested through a quantitative method using partial least squares-structural equation modeling with the help of SmartPLS version 4 to validate the measurement model.

The findings revealed that all six direct hypotheses were supported. However, out of four hypotheses of mediation, one was not supported. Besides, a sequential mediation of green supply chain environmental cooperation and green human resource management was supported. The findings illustrated that green supply chain practices positively influence all used variables.

This research provides practical insight to practitioners to implement green practices in their supply chain networks for social, economic and environmental sustainability and compliance with SDG-12 and SDG-13. The sustainability was validated in a higher-order construct (HOC) (formative), including sequential mediation in the model with the support of resource dependency theory. Therefore, this study adds substantial literature to the existing body of knowledge.

This research provides an interdisciplinary framework by adding knowledge to the Resource Dependency Theory to address Sustainable Development Goals-12 (SDGs) and SDG-13. Likewise, this research provides an extension towards the body of knowledge on the issue, which can be used in future research and critical examinations for cleaner and sustainable production. So far, in Pakistan, no research has looked at the function of these integrated variables in the manufacturing industry with a diligent focus on sustainability as it was validated in a higher-order construct (formative) with one sequential mediation, which makes this research unique.

The purpose of this study is to check the impact of financial development on green technological innovation (GTI).

The sample size includes the 20-year (2001–2020) financial statistics of six Gulf Cooperation Council (GCC) region countries. To check the proposed relationship, this research uses a series of econometric models including fixed effect, fully modified ordinary least square and robust least square models.

The statistical results imply that financial sector development has a direct significant impact on GTI. A developed financial sector can uplift green technological development by offering more loans to industrial sectors and the import of modern technology. The statistical analysis further reveals the positive impact of gross domestic product (GDP), foreign direct investment inflow and trade volume while the negative impact of resources contribution on GTI.

The findings suggest key policy suggestions regarding the role of the financial sector in promoting GTI in the GCC region.

The novelty of this study lies in its examination of the relationship between FD and GTI in the GCC countries, a region with its unique economic and environmental dynamics.

Thermo-magnetic convective flow analysis under the impact of thermal radiation for heat and entropy generation phenomena is an active research field for understanding the efficiency of thermodynamic systems in various engineering sectors. This study aims to examine the characteristics of convective heat transport and entropy generation within an inverted T-shaped porous enclosure saturated with a hybrid nanofluid under the influence of thermal radiation and magnetic field.

The mathematical model incorporates the Darcy-Forchheimer-Brinkmann model and considers thermal radiation in the energy balance equation. The complete mathematical model has been numerically simulated through the penalty finite element approach at varying values of flow parameters, such as Rayleigh number (Ra), Hartmann number (Ha), Darcy number (Da), radiation parameter (Rd) and porosity value (e). Furthermore, the graphical results for energy variation have been monitored through the energy-flux vector, whereas the entropy generation along with its individual components, namely, entropy generation due to heat transfer, fluid friction and magnetic field, are also presented. Furthermore, the results of the Bejan number for each component are also discussed in detail. Additionally, the concept of ecological coefficient of performance (ECOP) has also been included to analyse the thermal efficiency of the model.

The graphical analysis of results indicates that higher values of Ra, Da, e and Rd enhance the convective heat transport and entropy generation phenomena more rapidly. However, increasing Ha values have a detrimental effect due to the increasing impact of magnetic forces. Furthermore, the ECOP result suggests that the rising value of Da, e and Rd at smaller Ra show a maximum thermal efficiency of the mathematical model, which further declines as the Ra increases. Conversely, the thermal efficiency of the model improves with increasing Ha value, showing an opposite trend in ECOP.

Such complex porous enclosures have practical applications in engineering and science, including areas like solar power collectors, heat exchangers and electronic equipment. Furthermore, the present study of entropy generation would play a vital role in optimizing system performance, improving energy efficiency and promoting sustainable engineering practices during the natural convection process.

To the best of the authors’ knowledge, this study is the first ever attempted detailed investigation of heat transfer and entropy generation phenomena flow parameter ranges in an inverted T-shaped porous enclosure under a uniform magnetic field and thermal radiation.

The purpose of this paper is to examine perceived supervisory support (PSS) and the impact of the antecedents of sharing knowledge, namely, clan culture (CC) as well as trust in innovative work behavior (IWB).

This research focuses on small and medium-sized enterprise (SME) employees, especially SMEs located around tourist attractions in Indonesia. Data collection was carried out by distributing questionnaires. The distribution of the questionnaire was carried out in two ways, namely, the offline and online systems via the Google form. Data analysis tool using structural equation modeling.

The findings reveal that PSS, knowledge sharing (KS), CC as well as trust are positively related to IWB. In addition, it was also found that KS was proven to mediate CC relationships as well as the trust which had a positive relationship with IWB.

The research design uses cross-sectional data. This means that the measurement of variables is based on self-reports and is carried out at one time, which can lead to method bias that can affect the results of the study. Thus, further research is recommended to collect data longitudinally, which will make the findings stronger.

Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence KS behavior and their impact on IWB in the SMEs context.

Managers and owners of SMEs need to create a CC because the creation of a family or CC will more easily foster a culture of sharing knowledge within the organization, which will ultimately increase IWB.

This study emphasizes that it is not only internal factors within employees that can foster IWB but there are external factors that play an important role in increasing IWB, such as CC, PSS, trust and KS. And to the best of the authors’ knowledge, this is the first study to include all the constructs in one model and the context of SMEs.

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.