Search results

This study aims to investigate the moderating role of gamification on the relationship of financial attitude (FA), financial self-efficacy (FSE) and financial planning activity (FPA) of individuals on the financial behavior of individuals and also provides a conceptual background on financial management behavior (FMB), FA, FSE and FPA of individuals.

A preliminary study with the help of a structured questionnaire was conducted by administering the questionnaire to individuals who are exposed to financial apps on their smart phones or personal computers for various money-saving and investment activities. Help of various financial planners and financial consultants led to successful circulation of the questionnaire to respondents. The research model was tested through structural equation modeling using AMOS-21 software. Firstly, a measurement model was evaluated that comprised five latent constructs, i.e. gamifying features (GF), FA, FSE, FPA and FMB. Subsequently, the structural model consisting of the hypothesized relationships was evaluated.

The role of GF in financial apps and applications in moderating the influence of FA, FSE and FPA on FMB has not been thoroughly studied in the past literature, and the results of this study show that GF significantly moderate the influence of FA and FPA on the FMB of individuals. However, according to the results GF in financial apps do not have a significant moderating role on the influence of FSE on FMB of individuals.

The studies in the past have not investigated the role of gamification in the area of personal finance of individual investors, specifically their financial behavior in both developed and developing countries. This study addresses this gap by examining the role of gamification in moderating the relationship that exists between FA, FSE, FPA and financial behavior.

To promote gender equality, world leaders at the UN came up with Sustainable Development Goal 5 (SDG5). It proposes to eliminate discrimination against women by providing them with similar opportunities for reaching leadership positions. Hence, this study aims to examine the contribution made by women transformational leaders to their employees’ performance. The study seeks to emphasize the role played by female leaders in the on-job performance of employees and their mental well-being by encouraging intrinsic motivation among them.

For the purpose of data collection, a questionnaire was sent through Google Forms to the employees who had females as their superiors or in the decision-making position. Data from a final sample of 517 respondents was gathered, on which SEM was applied to analyze the direct impact of transformational women’s leadership on employee performance and the indirect impact through the mediation of intrinsic motivation.

The study found that by having feminine traits, women are stronger transformational leaders as they encourage individuals to be self-motivated instead of getting stimulated because of some external incentive. Also, such a leadership style ensures better work performance and mentally healthier employees. In addition, transformational women's leadership creates a better work environment by inspiring a teamwork culture instead of individualism.

The study has implications for not just researchers but other stakeholders as well. The study is useful for organizations as it directs them to hire and promote more women for leadership positions. Also, the results hint that people prefer working for women-led organizations as it will ensure a healthier work atmosphere.

There are many studies from earlier times related to transformational leadership. However, female leadership and the role it plays for employees have not gotten their fair share of attention. Thus, to the best of the authors’ knowledge, the present work is one of the very few where contributions made by women transformational leaders have been assessed.

This paper examines the current state of blockchain governance research. The study’s findings also propose a conceptual framework for the use of blockchain in governance and global governance and provide a global look at how public and private sectors alike are implementing new technologies.

The study is qualitative as well as quantitative in nature. The authors used Preferred Reporting Items for Systematic and Meta-Analysis (PRISMA) to gather data for the study. Furthermore, a bibliometric analysis using VOSviewer visualization tool and R Studio was carried out to attain the research objectives.

Many scholars and practitioners from around the world are interested in the topic, according to the analysis. This is a multidisciplinary study, so researchers have looked at how the blockchain can be used to govern countries, public utilities and global facilities, including corporations. There are numerous examples of how technology has been used in global governance, and the authors found that governments, as well as corporations around the world, have implemented technology in a variety of areas that affect the public and other stakeholders.

This study makes numerous contributions. In the first place, it presents the complex concept of blockchain in an easier to understand way. The numerous governmental and commercial initiatives that have made use of blockchain are also highlighted. As a result, the use of technology in corporate and social governance will continue to grow. Finally, the research will inform the academic community on the current state of the topic and potential future directions.

As a result of this research, academics and scholars can better understand the potential of blockchain in various governance models, ranging from developed to developing economies. The general public, as well as organizations, will benefit from the decentralized nature of the blockchain in a variety of ways related to their day-to-day governance. To the best of authors’ knowledge, this is a first kind of research on blockchain in governance using PRISMA and bibliometrics tools.

Augmented reality (AR) and virtual reality (VR) are becoming increasingly interwoven into people's daily lives, with applications in fields such as science, engineering, medical, the arts, education, finance and business. While much study has been conducted in the field of VR and AR in a variety of areas, less attention has been paid to online education. The purpose of this research is to conduct a systematic review of studies on AR and VR, as well as its applications in many disciplines of education, with a special emphasis on online education.

The data were gathered from the SCOPUS database under the subject “Augmented and Virtual Reality Applications in Online Education.” The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) format has been used to summarize the available literature and research in academics throughout the world. First, systematic literature reviews and later bibliometric analysis were conducted for performance and science mapping analysis.

The research adds to the body of knowledge about the role of AR and VR in online education and its future prospects. AR and VR have demonstrated a substantial contribution to facilitating teaching in a variety of fields, including engineering, medicine, nursing and chemistry. Additionally, this research indicates that AR and VR can be utilized to teach various areas and specialties. Additionally, it can be used in other aspects of online education, such as admissions, industry visits, training, internationalization and specific courses for students with disabilities.

This research lays the framework for educational institutions, legislators and researchers to investigate additional applications of VR and AR. Though this research suggests some possible uses for AR and VR in the online education system, more applications can be integrated into the online education system to fully leverage the potential of AR and VR worldwide. AR and VR have the potential to be a very cost-effective method of delivering online education on a wide scale in the future.

The article explores the applicability of VR and AR in education using bibliometric analysis. This is one of the first studies to do an assessment of VR and AR, evaluating their strengths, drawbacks and current applications. Future application areas are also identified as a result of the investigation.

Traditional supply chain arrangements have failed to keep up with escalating customer demands and breakthrough innovations. The way forward is a flexible yet innovative network that leverages ecosystem partners and digital tools to unlock new agility. The paper aims at identifying and analyzing numerous critical success factors (CSFs) that may improve the efficiency of a digital supply chain.

Twelve CSFs are identified in this paper through an extensive literature survey. Expert opinion has been considered and the hierarchical structure built using total interpretative structural modeling (TISM) which highlights the interdependencies between these CSFs. Cross-impact matrix multiplication (MICMAC) is used to determine the driving and dependence power of each factor.

This study identified 12 CSFs through an extensive literature survey. The ISM model resulted in six different levels beginning from redesign organization at the bottom of the structure. The TISM model explained why redesigning the organization is pivotal to bringing about novel agility in the supply chain. MICMAC analysis confirmed that the following enhanced the success of a digital supply chain: Sales and Operation Planning Strategies, Strategic Sourcing Techniques, Smart Manufacturing Processes and Warehouse Management.

Various other components contributing to the 12 CSFs identified in this paper may be discovered and detailed in future research. Additionally, further research is required to expand the existing technology-based services structural model to a more empirical form.

This study offers a comprehensive but not exhaustive list of CSFs essential to digital supply chain growth. It will enable market experts and leaders to concentrate on key factors leading to tactical decisions and maximum value for firms.

The paper seeks to add to the body of knowledge on real digitally-led supply chain transformation, which is still in its early stages. This study is one of the first, if not the first, to examine success factors critical to the improvement of the performance of the supply chain. It lays the foundation for further research in this field.

The purpose of this study is to thoroughly review studies that have used blockchain technology in financial services. This study will help provide a holistic framework that would highlight the current state and challenges of the blockchain in the financial services sector.

The objective of this study is to systematically examine and organize the current body of research literature that either quantitatively or qualitatively explored the use of blockchain technology in financial services. The study uses PRISMA-guided systematic review along with bibliometric analysis to achieve the purpose.

This study contributes to the existing literature by exploring and analyzing systematic studies available on blockchain with special reference to financial services sector. With blockchain based on five principles, namely, computational logic, peer-to-peer transmission, irreversibility of records, distributed database and transparency with pseudonym has immense potential to unleash and transform the financial service industry. With increasing blockchain-based operations of decentralized banking, insurance, trade finance, financial markets and cryptocurrency market, the subject is rapidly growing and seeking considerable contribution from scholars from around the world.

This study uses systematic literature review approach, which has its own demerits. Like other studies based on Systematic Literature Review, this study also suffers from a certain bias such as sample selection bias, publication bias, data interpretation and the combination of quantitative and qualitative studies in the population. Further, the adoption and resultant benefits of blockchain have not been empirically tested.

This study can help policymakers and institutions in determining their future course of action, as it highlights the state of research in the area of blockchain technology and financial services.

Very few studies have done a comprehensive review of literature on blockchain in financial services.

The purpose of this study is to explore the machining characteristics of electrical discharge machining (EDM) when a tool is fabricated using powder metallurgy. Because pure Cu tools obtained using conventional machining pose problems of high tool wear rate, tool oxidation causes loss of characteristics in tool shape.

The research investigation carried out experiments planned through Taguchi’s robust design of experiments and used analysis of variance (ANOVA) to carry out statistical analysis.

It has been found that copper and chromium electrodes give less metal removal rate as compared to the pure Cu tool. Analytical outcomes of ANOVA demonstrated that MRR is notably affected by the variable’s polarity, peak current, pulse on time and electrode type in the machining of EN9 steel with EDM, whereas the variables pulse on time, gap voltage and electrode type have a significant influence on EWR. Furthermore, the process also showed that the use of powder metallurgy tool effectively reduces the value of SR of the machined surface as well as the tool wear rate. The investigation exhibited the possibility of the use of powder metallurgy electrodes to upgrade the machining efficiency of EDM process.

There is no major limitation or implication of this study. However, the composition of the powders used in powder metallurgy for the fabrication of tools needs to be precisely controlled with careful control of process variables during subsequent fabrication of electrodes.

To the best of the authors’ knowledge, this is the first study that investigates the effectiveness of copper and chromium electrodes/tools fabricated by means of powder metallurgy in EDM of EN9 steel. The effectiveness of the tool is assessed in terms of productivity, as well as accuracy measures of MRR and surface roughness of the components in EDM machining.

The purpose of this paper is to assess the present level of knowledge about disaster preparedness and mitigation among undergraduate medical students. Rarely a week goes by when a major disaster is not reported in the media – a disaster that results in death and destruction. There is a general reluctance among the people to accept that tragedy can appear any time in the form of a disaster. Unfortunately, disasters are seen more in context of emergency responses than pre‐planning or preparedness measures. Continuous preparedness saves lives, lessens personal suffering and loss and reduces the destruction of property and economic losses. Emergency medical assistance is the most important and immediate post‐disaster need, second only to search and rescue operations. Hence, knowledge about disaster preparedness and mitigation is essential for medical students.

A total of 375 undergraduate medical students who volunteered for participation were included in the study. A pre‐tested and pre‐designed, structured questionnaire was administered for assessing the current level of knowledge, attitude and practice about disaster preparedness and mitigation. The percentage marks were analyzed and compared for statistically significant difference.

The mean score was 8.77 percent, which was slightly higher in females and was maximum in age group 26‐30 years. There was little variation according to the year (professional) of the MBBS course.

The paper shows that undergraduate medical students have little knowledge about disasters and disaster preparedness.

The primary objective of this study is to propose a robust multiobjective solution search approach for a mean-variance multiple correlated quality characteristics optimisation problem, so-called “multiple response optimisation (MRO) problem”. The solution approach needs to consider response surface (RS) model parameter uncertainties, response uncertainties, process setting sensitivity and response correlation strength to derive the robust solutions iteratively.

This study adopts a new multiobjective solution search approach to determine robust solutions for a typical mean-variance MRO formulation. A fine-tuned, non-dominated sorting genetic algorithm-II (NSGA-II) is used to derive efficient multiobjective solutions for varied mean-variance MRO problems. The iterative search considers RS model uncertainties, process setting uncertainties and response correlation structure to derive efficient fronts. The final solutions are ranked based on two different multi-criteria decision-making (MCDM) techniques.

Five different mean-variance MRO cases are selected from the literature to verify the efficacy of the proposed solution approach. Results derived from the proposed solution approach are compared and contrasted with the best solution(s) derived from other approaches suggested in the literature. Comparative results indicate significant superiorities of the top-ranked predicted robust solutions in nondominated frequency, closeness-to-target and response variabilities.

The solution approach depends on RS modelling and considers continuous search space.

In this study, promising robust solutions are expected to be more suitable for implementation than point estimate-based MOO solutions for a real-life MRO problem.

No evidence of earlier research demonstrates the superiority of a MOO-based iterative solution search approach for mean-variance MRO problems by simultaneously considering model uncertainties, response correlation and process setting sensitivity.