International Journal of Entrepreneurship and Sustainability Studies

Entrepreneurship Education Research Opportunities based on the Global University Entrepreneurship Students’ Spirit Survey (GUESSS): A Conceptual Research Design

2024-04-01T12:30:51+07:00

Entrepreneurship education evidently can influence entrepreneurial intention and career choices among university students, but its effectiveness varies across contexts. Thus, further exploration to understand the interplay between entrepreneurship education and relevant interference factors is urgently needed. The objective of this paper is to highlight research avenues that leverage GUESSS data to examine factors impacting the relationship between entrepreneurship education and career transitions, family business succession, and entrepreneurial activities. The study adopts a conceptual research design that utilizes GUESSS data collected from university students worldwide. The data offer insights into students’ entrepreneurial activities, career choices, and family business involvement. Findings suggest significant research potential in examining the moderating effects of individual and environmental factors on entrepreneurship education's impact. The paper concludes by proposing research models to explore these dynamics, thus contributing to the broader entrepreneurship education literature. The novelty of this study lies in its introduction of GUESSS as a comprehensive cross-country data source, enabling new research opportunities. Its potential contribution to the body of knowledge includes advancing theoretical models on the interaction between entrepreneurship education, individual traits, and environmental factors. This study also opens doors for further empirical validation and collaboration among academic researchers worldwide.

Sustainable Entrepreneurship and Circularity: Stakeholder Collaboration in Textile SMEs in Indonesia

2024-07-01T05:26:49+07:00

The textile industry is a significant contributor to environmental degradation, leading to an increasing emphasis on sustainable entrepreneurship and circular supply chains. This qualitative case study examines the experiences of textile-based SMEs in Indonesia who use shredded fabric from larger textile industries to create new fashion products. The urgency of this study lies in understanding the challenges faced by small- and medium-sized enterprises (SMEs) in textile-based circular supply chains, particularly in their collaboration with stakeholders. The in-depth interviews with five SME owners, two consumers, a supplier, a government official, and a CSO activist uncovered several critical challenges, including limited availability and access to shredded-fabric and inconsistent quality and quantity of the raw material, transforming the shredded-fabric into finished fashion products, reaching SMEs’ target market and promoting their products effectively, and the management of small leftover fabric pieces from production, referred to as “tatal.” The study proposes the following strategies to address the challenges: foster trust and transparency with suppliers, reactivate the joint business cooperative, work with government agencies and policymakers to establish customized support and regulatory structures, collaborate with government agencies and academic institutions, expand the market for tatal waste beyond the arts, and partner with the Department of the Environment to manage tatal waste. The findings contribute to the academic literature on sustainable entrepreneurship and provide practical insights for SMEs, policymakers, and industry stakeholders to enhance the circularity of textile supply chains.

Evaluating Workflow Automation Efficiency in A Government Agency in the Philippines

2024-11-19T20:15:39+07:00

Workflow automation plays a vital role in developing efficient government operations. Anchored on the Technology Acceptance Model, this descriptive-correlational study evaluated the efficiency of using automation tools in key work processes of a Philippine government agency. A census of the population was used to gather data from the 31 employees directly involved in the subject agency’s automation processes. Data were collected through a researcher-structured, validated questionnaire via Google Forms. These data were analyzed using frequency, percentage, weighted mean, multiple linear regression, ANOVA and Pearson r correlation analysis. The findings indicated that automation tools significantly enhanced the efficacy of key work processes in terms of speed, accuracy, and collaboration. Moreover, the study also revealed that employees are generally satisfied with performing routine and repetitive tasks because of the benefits of automation tools. However, the efficacy of key work processes is not significantly related to their overall job satisfaction. The study also revealed that the perceived impact of automation tools on key work processes is not affected by the demographic profile of the employees. This study also revealed that staff resistance and system integration issues are major barriers to the adoption of workflow automation. Furthermore, the study confirmed that there was no statistically significant correlation between perceived ease of use and problems encountered with automation tools. A strategic roadmap is proposed to improve workflow automation efficiency and address adoption-related challenges. This study also offers valuable insights for other government agencies seeking to introduce and assess similar technologies to enhance workflow and operational efficiency.

Compensation Scheme and Financial Well-being of Government Employees in the National Capital Region

2024-11-20T13:18:44+07:00

This research investigates the relationship between compensation and financial well-being among government employees in the National Capital Region (NCR), focusing specifically on the Bureau of Internal Revenue (BIR) Collection Service divisions. Utilizing a descriptive comparative-correlational design, the study analyzes data collected from 129 employees through a structured questionnaire to assess various aspects of the compensation scheme and its impact on financial well-being. The research delves into key elements of the compensation scheme, including salary satisfaction, the bonus structure, job grades, and salary adjustment processes. It evaluates how these factors contribute to employees' overall satisfaction with their compensation. Additionally, the study explores financial well-being by examining indicators such as income sufficiency, debt management, financial knowledge and skills, financial stability, and retirement preparedness. Significant demographic differences in perceptions of compensation and financial well-being are also investigated, with the research analyzing how these perceptions vary across age, gender, job position, years of service, educational attainment, monthly salary, and additional benefits and allowances. One of the central findings of the study is the moderate correlation between compensation and financial well-being, highlighting that improvements in the compensation system can lead to enhanced financial security and satisfaction among employees. While the majority of respondents report moderate satisfaction with their salaries and benefits, concerns remain regarding the adequacy of bonuses, limited opportunities for promotion, and the alignment of salary adjustments with performance. The study also emphasizes the importance of addressing specific demographic concerns, such as providing age-appropriate support, promoting financial literacy across gender identities, and ensuring equitable compensation across different job positions and educational levels. The research concludes with recommendations for policymakers and organizations to reform the compensation scheme, addressing these key areas to improve the financial well-being and satisfaction of government employees in the NCR.

The Impact of Career Pathing Practices on Job Satisfaction of Employees at BIR Document Processing Division in RR4 - PAMPANGA

2024-11-19T20:40:25+07:00

This research investigates the impact of career pathing on job satisfaction among employees of the Bureau of Internal Revenue (BIR) Document Processing Division in RR4, Pampanga. Career pathing is a strategic framework designed to outline clear advancement trajectories and to align skill development opportunities with promotions. This study uses a descriptive correlational design, incorporating a survey of 73 employees to assess the level of career pathing implementation and its relationship with job satisfaction. Data were analyzed using statistical methods to determine the strength of the correlation between career pathing practices and job satisfaction. Findings suggest that job promotions play a significant role in enhancing motivation and commitment, supporting the existing literature that shows a positive correlation between perceived advancement opportunities and job satisfaction. In the context of the Philippines, perceptions of career pathing are pivotal to job satisfaction because they influence workplace relationships and organizational culture. However, bureaucratic structures in government agencies can hinder career progression, leading to low employee morale and productivity. This research provides insights into the effectiveness of promotion criteria and transparency in BIR career pathing practices. The findings are expected to offer recommendations that enhance employee satisfaction and improve organizational stability. By contributing to the understanding of how career pathing can be optimized, this study seeks to help public sector organizations better meet their employees’ career aspirations.

A Systematic Literature Review of Investment Strategies in Perfect Capital Markets: Insights from the PRISMA Framework

2024-11-20T13:39:09+07:00

Investment strategies in capital markets play a crucial role in optimizing returns and managing risk. This article reviews recent literature using the PRISMA framework to identify and analyze effective investment strategy approaches in flawless capital markets. There are 6,411 Scopus Databases, 1,336 databases on specific and Reports assessed for eligibility (n = 263), and studies included in the review (n = 12). This study explores the integration of Environmental, Social, and Governance (ESG) and Socially Responsible Investment (SRI) strategies supported by data-driven quantitative models and cutting-edge technologies, such as machine learning and big data analytics. This research highlights the importance of cross-cultural and regional risk diversification strategies, as well as the implementation of advanced technologies, such as Backpropagation Neural Network (BPNN), in asset valuation and market prediction. Findings reveal that optimizing quantitative strategies with artificial intelligence enables more precise and responsive decision-making to market volatility, and data-driven approaches are particularly relevant in emerging economies to address liquidity risk and regulatory uncertainty. The reformulation of ownership and capital structure policies is proposed to encourage productive collaboration between foreign and domestic investors. In addition, innovation-based strategies, such as the use of digital coins and textual analysis of opinions, offer competitive advantages in an evolving capital market. This research emphasizes the importance of synergies between technological innovation and strategic investment policies to maximize opportunities in a dynamic global market and ensure long-term sustainability.