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This article aims to find the similarity solutions for the one-dimensional motion of spherical symmetric shock wave in non-ideal gas influenced by the azimuthal magnetic field and monochromatic radiation in the presence or absence of gravitational field. This paper also aims to study the effects of physical parameters on the strength of shock wave, and on the flow variables in the flow-field region behind the shock front.

The Roche model is used to describe the gravitational field effects due to a massive nucleus at the point of symmetry. To derive the similarity solutions, the Lie group symmetry method has been used. Also, the numerical solutions to the present problem are obtained by using Rung–Kutta method of the fourth order with the use of Mathematica software. The effects of variation in the parameter of non-idealness of the gas, the gravitation parameter, the strength of the ambient magnetic field and the adiabatic index of the gas on the shock wave, and on the flow variables is discussed. A comparative study between with and without gravitational field is also, made.

For different choices of the arbitrary constants that appeared in the solution of infinitesimal generators, we have obtained seven distinct cases of similarity solutions. In the absence of the gravitational field, the similarity solution exists to the power and exponential law shock paths, but in the presence of gravitational field, the similarity solution exists to the power law shock path case only. In the absence of gravitational field, the shock strength is enhanced in the exponential law shock path case in comparison to the power law shock path case. It is found that the shock wave decays with an increase in the value of the adiabatic exponent, the strength of magnetic field, non-idealness of the gas or gravitational parameter.

The consideration of medium under the influence of gravitational field due to a heavy nucleus at the center and presence of magnetic field decrease the shock strength. This result may be helpful in designing space vehicle and jet engine.

The result of the present study may be used in the analysis of data from the measurements by space craft in the solar wind and in neighborhood of the Earth’s magnetosphere.

The obtained results may be used for mankind.

The study of spherical shock wave propagation influenced by monochromatic radiation and azimuthal magnetic field in a non-ideal gas with or without gravitational field has yet to be discussed by any authors by using the Lie group symmetry method. In this article, we have discussed all possible cases of similarity solutions using the Lie group symmetry method, which is not studied by anyone as known to us.

This study tries to examine the factors that influence the adoption of e-governance mobile applications among Indian citizens. In addition, this study aims to analyse the impact of these factors on the adoption process.

The study used convenience sampling procedure to collect the data from 431 citizens of India. Confirmatory factor analysis and structural equation modelling techniques were used to assess the validity of scale and test the hypotheses.

The finding reveals that the information quality (IQ), perceived usefulness, social influence and government appeal (GA) significantly and positively impacted the attitude of citizen towards the m-governance. In addition, perceived ease of use was not significantly and positively impacted the citizen towards the m-governance.

This study aims to contribute to the existing literature on m-governance adoption in the developing nation. The study intends to provide insightful information on the factors influencing the adoption of m-governance. Also, this study seeks to make a scholarly contribution and provide practical insights for professionals in the industry and government departments.

Mobile applications transform the government operations and enhance the efficiency of government service delivery. Although there are numerous benefits of m-government application, but still the adoption rate of m-governance is steady. The study uses technology acceptance model along with incorporated two additional constructs, i.e. IQ and GA, to make model more comprehensive and robust to understand the m-governance adoption intention.

In today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university students in Pakistan, examines the roles of digital aspects in moving toward digital innovation (DI) and digital entrepreneurship (DE).

The study is based on quantitative and cross-sectional data. A survey questionnaire was used to obtain responses from respondents recruited through the convenience sampling technique.

The results from structural equation modeling (SEM) analysis suggest significant effects of technology orientation (TO), entrepreneurial orientation (EO), and DI on DE. The impact of DI on DE is also significant. On the other hand, digital technology self-efficacy (DTSE) is not found to be a significant predictor of DI and DE. Moreover, DI is found to be a significant mediator, which mediates the relationships of TO and EO with DE. On the contrary, DI did not mediate the significant relationship between DTSE and DE.

The study’s findings would benefit policymakers and planners in developing policies to encourage the usage of digital technologies to provide solutions in entrepreneurship. The findings also support promoting DE to tackle business challenges and achieve organizational and academic goals.

The study emphasizes the roles of digital technology, innovation, and entrepreneurship in a developing context.

Post-pandemic sovereign authorities in several economies have nudged primary education institutions to adopt platform-based teaching. The shift to platform technology attempts to ensure continuity in the teaching–learning process. In the context of predominantly digitally mediated teaching process, this shift may exacerbate disparities and social injustice by limiting access to primary education in resource-constrained developing economies. The purpose of this study is to explore the efficacy of such a digital framework provided by government and private partners and the challenges faced by the teachers in absence of proper scaffolding.

Using an integrative theoretical framework that is composed of capability theory, technology adoption theories and the scaffolding framework, this paper analyses the challenges faced by primary school teachers when adapting to platform-based teaching. Social media analytics along with text analytics using Natural Language Processing and latent Dirichlet allocation-based topic modelling approach to extract latent topics or themes used by users during their tweets related to e-teaching.

The findings of this study highlight that adopting a platform-based and hybrid approach improves access to education and flexibility and highlights the importance of scaffolds in achieving desired learning outcomes. EdTech companies can play a significant role through private-public partnership models to offer technical scaffold. Collaborative efforts between educational institutions and EdTech service providers are essential for ensuring the long-term sustainability of platform-based teaching and learning.

After the pandemic, there has been no published literature available which examined the role of scaffolds and EdTech companies in ensuring digital ecosystem for better teaching–learning outcome through platforms.

This study aims to investigate the connection between the circular economy and sustainable operations management to identify the challenges and opportunities in platform organizations. The study looks at how the stated circular economy strategies (Reduce, Reuse, Repair, Refurbish, Repurpose and Recycle) are integrated across different industries, emphasizing how they align with the e-business model. The research evaluates their contribution to achieving Sustainable Development Goal 12, which focuses on responsible consumption and production.

A literature review has analyzed CE frameworks, business models and the role of sustainable operations management practices. This study utilized secondary data analysis of platform organizations and insights from case studies to identify patterns, strategies and outcomes. The study also involved practical examinations within organizations, specifically focusing on innovative start-ups.

The analysis uses the 6R framework (Reduce, Reuse, Repair, Refurbish, Repurpose and Recycle) to uncover valuable insights into organizational practices and highlight the role of platform organizations in promoting and achieving circular economy objectives. The research findings focus on the central importance of data regulation and governance while showcasing sustainable business practices through platform organizations.

This research is significant as it connects circular economy with platform organizations’ business models, emphasizing data regulation, resource efficiency, waste reduction and aligning business practices with Sustainable Development Goal 12.

The study aims to add to the existing literature on food supply chains by specifically taking into the redesigning of the alignment of storage, packaging and distribution practices in the modern complex supply chain. The redesign of the food supply chain’s storage, distribution and packaging is a transformative endeavor ultimately aimed at enhancing efficiency, sustainability and reliability.

In order to identify, classify and prioritize the main challenges, this study conducted an extensive analysis of the literature and experts’ opinions in the areas of academia, information technology and the food supply chain (FSC) using combined compromise solution method (CoCoSo) and complex proportional assessment (COPRAS).

The top three classes of key indicators revealed in this study are dynamic route optimization and on-demand delivery pods (RD4), implementation of active packaging with nanotechnology (RP3) and collaborative last-mile (RD2). The findings reveal that dynamic route optimization and on-demand delivery pods (RD4) and collaborative last-mile (RD2) are maintaining a balance between collaborative delivery networks through route optimization which is a very discussable theme in recent literature.

The research provides fresh insights into how perishable food shelf life parameters and the use of distribution networks within the short supply chain can be taken into consideration when redesigning the storage, packaging and distribution system for food supply chains.

This study aims to examine the effects of religiosity, ethical leadership and local wisdom on the relationship between fraud risk management and asset misappropriation in Indonesia.

Data were collected using a set of questionnaire surveys administered to the head office, local government internal auditors (inspectorate) and local government employees in Indonesia. Sample selection used purposive techniques and obtained 151 respondents who became research data. The dependent variable was asset misappropriation. The independent variable was fraud risk management. The moderating variables for this study were religiosity, leader ethics and local wisdom. The analysis technique applied the structural equation model-partial least square (SEM-PLS).

Fraud risk management has a significant negative effect on asset misappropriation. In addition, this study finds evidence that religiosity, ethical leadership and local wisdom increase fraud risk management against asset misappropriation.

This study proposes an integrative model that enables local governments to understand fraud risk management. By integrating religiosity, ethical leadership and local wisdom, managers can design strategies to prevent asset misappropriation.

This research has the advantage of proposing an integrative model for mitigating asset misappropriation. Research on asset misappropriation is limited. Therefore, this study provides insights into fraud risk management, particularly in Indonesia’s local governments. In addition, this study adds ethical aspects such as religiosity, leadership and local wisdom to complement the weaknesses of fraud risk management and reduce the potential for asset misappropriation.

This study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in the academic literature.

Employing partial least squares structural equation modeling, this research scrutinizes the interconnections between various antecedents and BDAC. Notably, it examines the mediating roles of organizational culture (OC) and digital maturity (DM) in the nexus between managerial data orientation and BDAC.

Analysis indicates that OC and DM play crucial roles in enhancing the efficacy of managerial data orientation on BDAC. The sequential mediation by these factors underscores the importance of nurturing an appropriate OC and advancing DM to optimize the benefits of managerial data orientation towards BDAC.

The findings bear significant implications for organizational practice. They underscore the necessity of enhancing managerial analytical skills and commitment to digital transformation. Furthermore, the study highlights the critical need for aligning OC with strategic objectives and the digital context. The formulation of a cultural strategy that advocates for a data-driven mindset and champions digital initiatives is essential for fostering BDAC development, thereby bolstering organizational performance and competitiveness in the big data era.

This study enriches the body of literature by illuminating the overlooked antecedents of BDAC. It extends the discourse on the human-centric aspects of digital transformation, offering insights into how managerial data orientation can be effectively translated into improved BDAC. This innovative angle deepens our comprehension of the strategies through which organizations can leverage big data technology for value creation and informed decision-making, emphasizing the pivotal role of OC and the requisite digital competencies and resources.

This paper is drawn on resource-based theory (RBV), dynamic capability theory (DCV) and situational strength theory (SST). It aims to investigate the relationship of entrepreneurial leadership (EL) on project success (PS) through the mediating role of dynamic capabilities (DCs), big data analytic capability (BDAC) and sustainable resilience (SR). It also explores the moderating effect of knowledge sabotage behaviour (KSB) on the relationship of BDAC and SR with PS.

Data was collected via Questionnaire survey through convenience sampling from the sample of 550 employees working on project in software companies. Of these, 467 response was deemed valid for analysis. The data was analysed using structural equation modelling (SEM) with SMART-PLS tool.

The study revealed a significant impact of EL on PS (p < 0.05). It also confirmed the significant mediating role of BDAC and SR (p < 0.05) in EL and PS relationship. These findings emphasize that adapting an entrepreneurial leadership style provides an environment conducive to achieving project success. Moreover, the presence of DCs like BDAC and SR enhances the organization adaptability, efficiency and firms’ endurance to disruption and strengthens their ability to navigate challenges and drive firm outcomes.

The research provides valuable insight into the role of EL as a contemporary leadership style in project-based firms that are marked by high risk and uncertainty. Also, this research is the first to examine the role of DCs, i.e. BDAC and SR as essential support in the execution of a project. Moreover, the research also highlights the importance of the effective role of DCs in achieving PS by mitigating the moderating influence of KSB. Thus, these DCs are empirically proven to facilitate EL in-driving project success in volatile environment while avoiding counterproductive work behaviour.

The Unified Payments Interface (UPI) has emerged as a transformative force within the digital payment landscape, revolutionising how individuals and businesses conduct financial transactions in India. This research paper embarks on a theoretical journey to elucidate the growth trajectory of UPI by delving into secondary data sources. Through meticulous analysis and synthesis of existing literature, regulatory reports and industry insights, this paper constructs a comprehensive narrative that traces the evolution of UPI from its inception to its current status as a cornerstone of the Indian digital payments ecosystem. The theoretical framework employed in this study draws upon concepts from innovation diffusion theory, network effects and technological adoption models to elucidate the factors driving the adoption and proliferation of UPI. By examining key milestones, regulatory interventions, technological advancements and market dynamics, this paper unveils the intricate interplay of various stakeholders, including banks, fintech firms, government bodies and consumers, in shaping the trajectory of UPI growth. Furthermore, this research delves into the utility of UPI as a payment infrastructure by exploring its implications for financial inclusion, efficiency, security and economic development. By facilitating seamless, real-time and interoperable transactions, UPI has democratised access to financial services, empowered small businesses and catalysed the transition towards a less-cash economy. This paper fills a critical gap in the literature by providing a holistic and theoretically grounded analysis of UPI's evolution and its broader implications. It contributes valuable insights into the mechanisms driving digital payment innovations and their socio-economic impacts, thereby informing policy decisions to foster inclusive and sustainable financial ecosystems.