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Despite a significant rise in the adoption of online stock trading applications, the research on measuring and enhancing the service experience of customers is scarce. This paper aims to put forth a credible service performance measurement tool, APPQUAL, customized for stock trading applications.

The paper is based on a multi-method research using qualitative and quantitative research. Further, structural equation modeling is used to establish constructs for measuring service performance.

APPQUAL is conceived and built to measure the service performance of stock trading applications. The APPQUAL measures service performance based on five unique dimensions – Safety Accuracy, Performance, Support and Usability associated with the perceived e-service quality of stock trading applications.

This study extends measurement scales for service quality measurement for a relatively new service of online stock trading applications. The scales are adapted as well as built with the help of an iterative process. The methodology is in line with the previous academic research, and the new scales developed can lead to further extensions to scale for different services.

The APPQUAL tool developed as part of this study can be applied to assess service performance and perceived service quality of stock trading applications, which have leap frogged in terms of adoption but have also been met with criticism on poor customer experience. This study shall add to the body of knowledge of stock trading platforms to enhance service experience by targeting the right factors and underlying items. The efficacy and application of the tool have been demonstrated in this paper by applying it to Zerodha and Upstox, the two of the biggest online stock trading applications in India.

There is no research or tool available currently which focuses on the service quality of the new-age platform application of stock trading apps. This is especially glaring due to the large-scale adoption of these applications by Indian customers.

This study comprehensively reviews the Fourth Industrial Revolution, which refers to Industry 4.0 (IR 4.0) applications in small and medium enterprises (SMEs). Multinational companies and big corporations have the capacity and resources to implement IR 4.0, but SMEs are limited due to financial constraints, expertise and lack of resources. Even so, IR 4.0 is required as technologies evolve and market demand has changed how firms do business.

To uncover the potential of IR 4.0 and critical determinants of SMEs’ adoption of IR 4.0, this study presents a bibliometric analysis to evaluate the current research streams in IR 4.0 adoption among SMEs through bibliographic coupling. Furthermore, this review provides a glimpse of the future by analyzing prospective trends on IR 4.0 in SMEs.

Bibliographic coupling produces five clusters: (1) challenges and barriers in IR 4.0 implementation among SMEs, (2) technological adoption of IR 4.0, (3) opportunities and benefits of IR 4.0, (4) business model innovation and (5) implication of IR 4.0 on SMEs technologies. On the contrary, co-word analysis produces three clusters: (1) technologies in IR 4.0, (2) strategy and management of IR 4.0 among SMEs and (3) IR 4.0 model for SMEs.

Implications are directly related to business owners, policymakers and technology developers meeting the needs of the industry and SMEs, which are the focus of this review.

The findings contribute significantly to the body of knowledge by presenting a state-of-the-art science mapping approach to uncover the knowledge structure and intellectual linkage of IR 4.0 adoption within SMEs.

This paper aims to determine the hierarchical relationship between building partnership competencies for public sector educational leaders (ELs) administering and running the education system.

An interpretive structural modelling (ISM) technique was used to develop a hierarchical structural model for building partnership competencies. Nominal group technique (NGT) was used with the help of experts’ suggestions and opinions at the beginning of ISM to identify building partnership competencies. Also, the NGT was used to rank the competencies. A structural self-integration matrix was developed based on experts’ voting and agreement. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to analyse the relationship among the building partnership competencies. A total of 11 experts were chosen for NGT and ISM sessions.

A total of 16 building partnership competencies were identified for this study. The competencies were compartmentalised into four domains: creative collaboration, create network, develop collective culture and encouraging constructive dialogue. MICMAC analysis shows each domain of the model of its key competencies ranked at the highest level in the ISM model and dependent competencies.

ISM is a modelling approach that is based solely on expert opinions and responses. Its limitation can be overcome with the help of empirical analysis.

This study supports the public sector ELs’ professional development and upskilling. In addition, the model developed in the study will be helpful for stakeholders, human resources division and policymakers to incorporate building partnership competencies in the training and development of ELs.

This study helps to identify and prioritise building partnership competencies using NGT and ISM. Literature shows that numerous authors have used the ISM approach. Still, the combination of NGT approach is limited. Therefore, the model developed in the study was based solely on experts’ opinions and suggestion based on their experiences and knowledge.

This study aims to explore the stagnation flow over a shrinking surface in a hybrid nanofluid consists of Al₂O₃ and Cu nanoparticles. Here, the flow is subjected to the magnetohydrodynamic (MHD) and the melting phenomenon effects.

The similarity variables are used to gain the similarity equations. These equations are solved via the bvp4c solver. The effects of several physical parameters on the flow and the thermal characteristics of the hybrid nanofluid are analysed and discussed. Later, the temporal stability analysis is used to determine the stability of the dual solutions obtained as time evolves.

Results show that two solutions are found for the limited range of the stretching/shrinking parameter λ, and then these solutions are terminated at λ=λc. The rise of the melting parameter Me from 0 to 2 contributes to enhance 109.63% of the local Nusselt number Rex-1/2Nux and 3.30% of the skin friction coefficient Rex1/2Cf. Contrarily, the values of Rex-1/2Nux and Rex1/2Cf decline by 25.04% and 5.58%, respectively, as the magnetic parameter Mg increases from 0 to 0.3. Additionally, Al₂O₃-Cu/water has the highest values of Rex1/2Cf and the lowest values of Rex-1/2Nux. Lastly, it is found that the first solution is physically stable as time evolves.

This paper considers the MHD stagnation point flow of a hybrid nanofluid over a shrinking surface with the melting phenomenon effects. Most importantly, it is shown that there exist dual solutions within a specific range of the physical parameters. Besides, the temporal stability of the solutions is also reported in this study. The finding can contribute to foresee the flow and thermal behaviours in industrial applications. Also, the suitable values of parameters can be determined to avoid misjudgement in flow and heat transfer analysis.

This study aims to evaluate the knowledge structure of knowledge management (KM) applications within small and medium enterprises (SMEs). In pursuit of excellence, SMEs must adopt KM like large corporations, even with limited resources.

Through a bibliometric approach, this study evaluates current themes based on bibliographic coupling analysis and predicts future trends based on coword analysis. A total of 726 documents and 2,658 keywords were derived from the Web of Science database.

Findings show four clusters in bibliographic coupling and three in coword analysis. A common theme discovered converged on digital technology to ensure SMEs follow current market trends.

Advanced application of Industry 4.0 requires digital transformation for SMEs’ pursuit of excellence. Implications include sustaining SMEs through a considerable KM system integrated with digital technology for sustainable business activities.

To the best of the authors’ knowledge, this study is among the first to provide a science mapping analysis on KM in SMEs by applying a bibliometric analysis.

The purpose of this paper is to investigate the structural, electronic and optical properties of pure zinc oxide (ZnO) and transition metal (Tm)-doped ZnO using Tm elements from silver (Ag) and copper (Cu) by a first-principles study based on density functional theory (DFT) as implemented in the pseudo-potential plane wave in CASTEP computer code.

The calculations based on the generalized gradient approximation for Perdew-Burke-Ernzerhof for solids with Hubbard U (GGA-PBEsol+U) were performed by applying Hubbard corrections U_d = 5 eV for Zn 3d state, U_p = 9 eV for O 2p state, U_d = 6 eV for Ag 4d state and U_d = 9.5 eV for Cu 3d state. The crystal structure used in this calculation was hexagonal wurtzite ZnO with a space group of P63mc and supercell 2 × 2 × 2.

The total energy was calculated to determine the best position for Ag and Cu dopants. The band structures and density of states show that Tm-doped ZnO has a lower bandgaps value than pure ZnO because of impurity energy levels from Ag 4d and Cu 3d states. In addition, Ag-doped ZnO exhibits a remarkable enhancement in visible light absorption over pure ZnO and Cu-doped ZnO because of its lower energy region and extended wavelength spectrum.

The results of this paper are important for the basic understanding of the 3d and 4d Tm doping effect ZnO and have a wide range of applications in designing high-efficiency energy harvesting solar cells.

The purpose of this paper is to determine the factors that affect Islamic entrepreneurial intentions. Specifically, how do prior experience, empathy, moral obligation, self-efficacy and perceived behavioral support affect entrepreneurial intentions based on Islamic principles?

To answer this question, three theoretical frameworks using the theory of planned behavior (TPB), the theory of bounded rational planned behavior (TBRPB) and the theory of social entrepreneurship as its basis were established. Using measurement scales created to assess different aspects of the constructs, a survey instrument was developed to test the various relationships implied by those frameworks.

The findings of the study revealed that among the five factors prior experience and self-efficacy are the most important factors to affect Islamic entrepreneurial intentions.

From a research perspective, the study results establish the robustness of the TPB, TBRPB and the social entrepreneurial intention model for helping to explain Islamic entrepreneurial intention behavior.

The practical implications of these results suggest that efforts aimed at increasing Islamic entrepreneurial activity may want to consider the variables studied in this paper. Both interested policymakers and academics cherishing to encourage Islamic, as well as conventional entrepreneurial activity, can take away that Islamic entrepreneurial self-efficacy and prior experience are deemed to be the most important measures.

The findings from this paper suggest that the organizations could tend to promote Islamic entrepreneurial intentions in society through a special emphasis on the antecedents discussed in this paper.

It is vital to keep in mind that the measure for Islamic entrepreneurial self-efficacy used in this study differed from the usual constructs for self-efficacy.

This paper aimed to shed light on the relationship between blockchain technology intensity and tax evasion and whether this relationship is moderated by good governance.

Data from a sample of 50 European companies selected from the STOXX 600 index between 2010 and 2019 were used to test the model via panel data and multiple regression. Here, we used the generalized least squares method estimated on panel data. A multivariate regression model was used to analyze the moderating effect of good governance on the association between blockchain technology intensity and tax evasion. For the robustness analyses, we included the comparative study of legal systems. We performed an additional analysis by testing the dynamic dimension of the data set using the generalized method of moments to control for the endogeneity problem.

Expectedly, the results showed a negative relationship between blockchain technology intensity and tax evasion. Furthermore, the findings suggest that the moderating variable negatively affects the relationship between blockchain technology and tax evasion.

To our knowledge, this study supports the existing literature. Firstly, it expands the scientific debate on tax evasion. Secondly, it extends the scope of the agency theory, which is used to explain the phenomena associated with tax evasion. This study is one of the first to examine the moderating effect of good governance on the association between blockchain technology intensity and tax evasion.

The limited supply of fossil fuels, constant rise in the demand of energy and the importance of reducing greenhouse emissions have brought the adoption of renewable energy sources for generation of electrical power. One of these sources that has the potential to supply the world’s energy needs is the ocean. Currently, ocean in West African region is mostly utilized for the extraction of oil and gas from the continental shelf. However, this resource is depleting, and the adaptation of ocean energy could be of major importance. The purpose of this paper is to discuss the possibilities of ocean-based renewable energy (OBRE) and analyze the economic impact of adapting an ocean energy using a thermal gradient (OTEC) approach for energy generation.

The analysis is conducted from the perspective of cost, energy security and environmental protection.

This study shows that adapting ocean energy in the West Africa region can significantly produce the energy needed to match the rising energy demands for sustainable development of Nigeria. Although the transition toward using OBRE will incur high capital cost at the initial stage, eventually, it will lead to a cost-effective generation, transmission, environmental improvement and stable energy supply to match demand when compared with the conventional mode of generation in West Africa.

This study will be helpful in determining the feasibility, performance, issues and environmental effects related to the generation and transmission of OBRE in the West Africa region.

The study will contribute toward analysis of the opportunities for adopting renewable energy sources and increasing energy sustainability for the West Africa coast regions.