Start-ups are launched every day, and most of them will fail at the same pace. Worldwide unemployment has become a major concern due to the geometric increase in the population. However, job opportunities are not created at the same pace as the overall population, and jobless people are becoming a burden on the economy. This situation led to introduce a system that helps people become self-employed and gives dignity to their lives. Prior studies reported that many factors could motivate an individual to pursue entrepreneurial projects. However, there is still a gap in identifying a path that promotes entrepreneurial intention among young graduates. Therefore, the purpose of the current study is to determine the effect of self-motivation, family support, peer influence, and institutional support on entrepreneurial intention through entrepreneurial skills, propensity to take risks, and innovativeness. Data were collected from 416 business students from six public and private sector universities in Pakistan. The results revealed that self-motivation, family support, peer influence, and institutional support positively and significantly affected entrepreneurial intention. The mediating role of entrepreneurial skills, a propensity to take risks, and innovativeness also enhances entrepreneurial intention among young graduates. A categorical analysis was conducted to explain the characteristics of the individuals motivated to launch start-ups. The results revealed a significant difference in the grouping variables of gender and education. The conceptual model provides more pronounced results in the case of male and post-graduate students. These findings may motivate young graduates to start new venture capital start-ups based on open business models. In this way, they can contribute to the complex and evolutionary economics that accelerate efficiency through technological innovation.
Cryptocurrency has revolutionized the economic system of the world. It provides a new and innovative means of exchange that has speedily invaded the financial market trends and changed the traditional cash world. However, consumers have low acceptability for blockchain-based cryptocurrency due to increasing online scams and the absence of a regulatory framework. There is also a misconception about its usage on many platforms, which has created a clear gap in the literature to address this issue. Therefore, the current study intends to investigate the effect of technology awareness on the behavioral intention of crypto users through perceived factors (usefulness, ease of use, risk). It also empirically examines the moderating role of government support on these indirect paths. The underlying framework is investigated by surveying 333 respondents from the Z generation. Results revealed that perceived factors (usefulness, ease of use, risk) mediate the relationship between technology awareness and behavioral intention. Furthermore, government support strengthens the indirect relationship of technology awareness on behavioral intention through technology acceptance determinants, such that the effect of technology awareness on behavioral intention through perceived factors (usefulness, ease of use, risk) is more assertive when government support is high. The findings will provide a new dimension to different financial bodies implementing monetary policy and highlight the need to adopt innovative digital technologies in Pakistan.
The 2019 Pandemic has forced students to take online classes, increasing their stress levels and negatively impacting their academic performance. This issue urges the development of a mechanism to make online learning more effective in this nerve-racking time. Therefore, the present study has integrated the task technology fit (TTF) model and the DeLone and McLean Model of Information Systems Success (DMISM) to address the stated issue. The data were collected from 330 and 326 students of top-ranked public and private universities of Punjab, respectively. The theoretical framework was analyzed with the help of structural equation modeling (SEM) using Analysis of Moment Structures (AMOS). The findings indicate that overall quality positively predicts performance through the mediating role of user satisfaction and TTF. The overall quality also positively elevates performance through the mediating role of user satisfaction and actual usage of the system. Moreover, perceived usefulness proved to be a moderator between overall quality and user satisfaction. Finally, the expected practical and theoretical implications have also been discussed.
The world has paid increasing attention to energy efficiency projects since the Paris agreement and UN climate summit. Recently, the COVID-19 pandemic accelerated the process of the green energy transition, which has attracted considerable attention from economists, environmentalists, and international organizations and has led to significant research in energy. This study addresses the importance of green energy practices in the post-COVID-19 era to deal with environmental deregulation using bibliometric analysis. Data were extracted from the Scopus database from 2020 to 2022. Results indicate that China gained a prominent place in publishing topic-related articles. However, Italy stands at the top position in total and average article citations. Sustainability is the most productive journal, followed by Energies and the Journal of Cleaner Production. Nazarbayev University and the University of Cambridge are the most contributing research institutes. In general, the cooperation of authors, institutes, and countries strengthens research; however, collaboration at the author level across the nation was lower than in others. The study highlights three research streams and four themes by systematically conducting a bibliometric coupling and co-occurrence network that anticipates and significantly segregates literature. Bibliometric coupling identifies three research streams of sustainable green business strategies, green infrastructure requirements, and green solutions and opportunities from COVID-19. Furthermore, the co-occurrence network proposes four main themes related to green innovation in the epidemic era, security and sustainable development goals with green practices, public health protection and green finance, and investment and risk management. The results provide insights into current research in the field of energy and will assist future work promoting environmentally friendly projects.
A review of the available literature indicates that the development of metal-reinforced castings present intriguing prospects but carry inherent challenges owing to differences in thermal coefficients, chemical affinities, diffusion issues and the varying nature of intermetallic compounds. It is supported that pressure application during solidification may favorably influence the dynamics of the aforementioned issues; nevertheless, not only certain limitations have been cited, but also some pressure and process regimes have not yet been investigated and optimized. This work employs the pressure-assisted approach for bimetallic steel-reinforced aluminum composite castings at a low-pressure regime and thoroughly investigates the role of three process parameters, namely pouring temperature (800–900 °C), pressure (10–20 bars) and holding time (10–20 s), for producing sound interfaces. The Taguchi L9 orthogonal array has been employed as the Design of the Experiment, while dominant factors have been determined via analysis of variance and the grey relational analysis multi-objective optimization technique. Supplementary analysis through optical micrographs, scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) has been utilized to quantify interfacial layer thicknesses and to study microstructural and compositional aspects of the interface. Nano-indentation tests under static and dynamic loading have also been performed for mechanical strength characterization. It has been found that uniform interfaces with verifiable diffusion are obtainable, with the pouring temperature being the most influential parameter (percentage contribution 92.84%) in this pressure regime. The experiments performed at optimum conditions of pouring temperature, applied pressure and holding time produced a ~328% thicker interface layer, 19.42% better nano-hardness and a 19.10% improved cooling rate as compared to the minimum input values of the said parameters.
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