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INDONESIA
Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 874 Documents
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An Empirical Study of Principals' Leadership Styles with Faculty Commitment Thanh Hai Nguyen; Quang Nguyen Van; Mai Nguyen Thị Tuyet
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-013

Abstract

Objectives: The objectives of this study were to explore the leadership styles of political school principals and the influence of leadership styles on faculty committees, as well as the influence of leadership styles on faculty-directed demographic variables. Methods/Analysis: This study uses a quantitative method to identify the leadership styles that exist in principals of political schools. The collected data is analyzed and processed in the Statistical Package for Social Sciences (SPSS) version 26.0. The available test of Avolio and Bass to explore leadership styles, the test developed by Meyer and Allen is used to measure faculty commitment. Findings: Transformative leadership styles, transactional leadership styles, and laissez-faire leadership styles all have statistically significant positive correlations with faculty commitment. Novelty/Improvement: The laissez-faire leadership style had the strongest influence on faculty commitment, followed by the transformational leadership style. The least influential leadership style was the transactional leadership style. When lecturers have confidence and initiative, being able to make their own decisions and implement them, they will be more creative to achieve leadership performance. The research results are only shown within the provincial political schools of Vietnam. Future studies may select a broader sample of subjects in many educational institutions of a different kind. Doi: 10.28991/ESJ-2022-06-03-013 Full Text: PDF
Analysis of Waste Minimization Challenges to European Food Production Enterprises Gunta Grinberga-Zalite; Andra Zvirbule
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-08

Abstract

Economic growth increases the pressure on environmental issues, thus highlighting the importance of waste minimization processes. The waste management approaches in most European countries have so far been relatively little studied and compared at the micro level. The main objective of the current research is to analyze the challenges of waste minimization in European food industry enterprises and identify good practices in the selected countries. The research used a mixed-method methodology, combining both qualitative and quantitative methods, thus providing an in-depth insight into food enterprises’ efforts to reduce their production waste and use their resources more efficiently. The main data collection methods used for the study were secondary data research, discourse analysis, case studies, and focus group interviews. The analysis of the food waste management applications in the European countries’ food sub-sectors leads to the conclusion that since the national initiatives and success factors vary between the countries, it is important to invent such national food waste management systems that are economically justified and technically available for all enterprises regardless of their food waste production volumes. It is also necessary to raise awareness of the strategies that food industry employers, employees, and consumers can use to reduce their waste and thus promote a waste minimization culture in Europe. Doi: 10.28991/ESJ-2022-06-03-08 Full Text: PDF
Understanding Consumers' Purchase Intention and Gift-Giving in Live Streaming Commerce: Findings from SEM and fsQCA Wen-Kuo Chen; Chien-Wen Chen; Andri Dayarana K. Silalahi
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-03

Abstract

Live streaming commerce has experienced tremendous growth over the past few years. Although research has increasingly investigated the phenomenon of live streaming as e-commerce, it is arguably essential to determine why consumers make purchases through live streaming and send paid gifts to streamers. This study aims to understand users' social commerce purchase intentions and gift-giving according to the uses and gratification perspective, and engagement, and extends the literature by identifying five uses and gratifications for social media live streaming and how the viewers' engagement affects purchase intentions and gift-giving. We tested the hypothesis among 525 Indonesians who watch live streaming through Structural Equation Modeling (SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA). The results of SEM confirm the importance of pass-times and habits to consumer engagement in live streaming. In this sequence, the role of engagement (emotional, social presence, and immersion) was confirmed to significantly influence purchase intention and gift-giving intention. The results of fsQCA provide theoretical insight and practical suggestions for increasing our understanding of the complex interconnectivity among uses, gratification factors, engagement in social commerce purchase intentions, and gift-giving intentions. Finally, this study also highlighted the configurational conditions for understanding consumer behaviors in live streaming commerce. Doi: 10.28991/ESJ-2022-06-03-03 Full Text: PDF
Predicting Exchange Rate under UIRP Framework with Support Vector Regression Bui Thanh Khoa; Tran Trong Huynh
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-014

Abstract

This study aimed to forecast the exchange rate between the Vietnamese dong and the US dollar for the following month in the context of the COVID-19 pandemic. It used the Support Vector Regression (SVR) algorithm under the Uncovered Interest Rate Parity (UIRP) theoretical framework; the results are compared with the Ordinary Least Square (OLS) regression model and the Random Walk (RW) model under the rolling window method. The data included the VND/USD exchange rate, the bank interest rate for the 1-month term, and the 1-month T-bill from January 01, 2020, to September 11, 2021. The research discovered a linear link between the two nations' exchange rates and interest rate differentials. Interest rate differentials are input variables to forecast interest rate differentials. Furthermore, the connection between the exchange rate and interest rate differentials during this era does not support the UIRP hypothesis; hence, the error for OLS predictions remains large. The study provided a model to forecast future exchange rates by combining the UIRP theoretical framework and the SVR algorithm. The UIRP theoretical framework can anticipate exchange rate differentials using the input variable and the interest rates between two nations. Meanwhile, the SVR algorithm is a robust machine learning technique that enhances prediction accuracy. Doi: 10.28991/ESJ-2022-06-03-014 Full Text: PDF
Attribute Implications and Reverberations of the Japanese Foreign Policy for Technology and Innovation Business in Thailand Yaninee Songkajorn; Somnuk Aujirapongpan; Watcharawat Promma; Kitikorn Dowpiset; Jaturon Jutidharabongse
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-09

Abstract

Economic growth can be defined by real gross domestic value and international imports and exports supported by technology and innovation. Currently, there are concerns about the level of international technological policy investment, despite having the capability to be macroeconomically and business-valuable. The main objective of this research is to study the attributions in relationships and associations between the policy implications of technological business (PITB) and the effort of technology and innovation acceptance capacity (TIAC), which influence capacity development and foresight to ensure effective Japanese foreign policies. This research has been fully justified through business policy receiving technology and innovation, the potential for technology and innovation adoption (PTIA) and innovation for firm performance (IFP) of Japanese joint venture companies in Thailand was examined. Fifty-seven companies were subjected to the structural equation model testing method. Data collection was conducted by the questionnaire and an in-depth interview with validity and reliability checked under 4 main latent variables: PITB, TIAC, PTIA, and IFP. All processing was performed with the ADANCO 2.2.1 program. The research found that PITB had a positive correlation and directly influenced PTIA and IFP unless it had an inverse correlation to TIAC and the relationship between TIAC and PTIA. It can serve as a guide for how to correctly carry out the principle of creating a new Japan's foreign policy in the future. Doi: 10.28991/ESJ-2022-06-03-09 Full Text: PDF
Effect of Turbocharger Compression Ratio on Performance of the Spark-Ignition Internal Combustion Engine Saad S. Alrwashdeh; Ala’a M. Al-falahat; Talib K. Murtadha
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-04

Abstract

Internal Combustion Engines (ICE) are one of the most important engineering applications that operate based on the conversion of chemical energy from fuel into thermal energy as a result of direct combustion. The obtained thermal energy is then turned into kinetic energy to derive various means of transportation, such as marine, air, and land vehicles. The efficiency of ICE today is considered in the range of the intermediate level, and various improvements are being made to enhance its efficiency. The turbocharger can support the ICE, which works by increasing the pressure in the engine to enhance its efficiency. In this investigation, the effect of the turbocharger pressure on ICE performance was studied in the range of 2 to 10 bar. It was found that the increase in turbocharger pressure enhanced the pressure inside the engine, positively affecting engine efficiency indicators. Therefore, the increase in turbocharger pressure is directly proportional to the ICE efficiency. Doi: 10.28991/ESJ-2022-06-03-04 Full Text: PDF
Development of Computer Vision Algorithms for Multi-class Waste Segregation and Their Analysis Neeraja Narayanswamy; A. R. Abdul Rajak; Shazia Hasan
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-015

Abstract

Classification of waste for recycling has been a focal point for scientists interested in the field of conservation of the environment. Recycling consists of numerous steps, of which one of the most crucial is the segregation of recyclables from all other waste. Due to a lack of safety standards in developing countries, waste collection is often done manually by domestic helpers, or "rag-pickers". Such a process risks individual and public health. The waste collection methods may ultimately cause waste to become non-recyclable due to cross-contamination. Literature shows that research in this direction focuses on a single class of waste detection. The proposed work investigates CNN, YOLO, and faster RCNN-based multi-class classification methods to detect different types of waste at the collecting point. The smart dustbin proposed employs these computer vision methods with a Raspberry Pi microcontroller and camera module. The experimental results for multi-class classification show that the CNN has 80% of accuracy with 60% of the loss. Whereas the YOLO algorithm shows an accuracy of 88% and a loss of 40%. But the best results were obtained from faster RCNN object detection with API, with an accuracy of 91% and a loss of 16%. There is already an existing method for making a smart dustbin, so the results are compared to show how computer vision can be used to make a smart dustbin. This shows how computer vision can be used to make a smart dustbin. Doi: 10.28991/ESJ-2022-06-03-015 Full Text: PDF
Managerial Recommendations Improving the Competitive Capability of Firms Based on Total Quality Management during Covid-19 Pandemic Ha Van Son; Nguyen Van Trai; Phan Thanh Tam
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-010

Abstract

In 2021, the COVID-19 epidemic affected many aspects of the provinces' socio-economic fields, especially deeply affecting businesses at enterprises. The task of ensuring social security continues with the management agencies, who need appropriate solutions and support policies to encourage and help enterprises return to production and trade after the quarantine society quickly. The basis for management theory has contributed to improving the competitive capability based on improving Total Quality Management (TQM), such as the "just in time" system. TQM aims to enhance the quality of products and satisfy customers to the best extent possible. The distinguishing feature of TQM from previous quality management methods is that it provides a comprehensive system for managing and improving all aspects related to quality and involves the participation of the public, every department, and every individual to achieve the set quality goals. The article's novelty identifies factors influencing total quality management and competitive capability of firms in Vietnam with one percent significance. Methods: The authors surveyed 650 managers at many enterprises in Vietnam. And the authors used a convenient sampling method. SPSS tools processed 589 samples to measure Cronbach's alpha, exploratory factor analysis (EFA), confirmation factor analysis (CFA), and test structural equation modeling (SEM). The authors proposed several recommendations to enhance the total quality management and competitive capability of firms. Doi: 10.28991/ESJ-2022-06-03-010 Full Text: PDF
The Development of the Entrepreneurial Spirit Index: An Application of the Entrepreneurial Cognition Approach Suchart Tripopsakul; Tartat Mokkhamakkul; Wilert Puriwat
Emerging Science Journal Vol 6, No 3 (2022): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-03-05

Abstract

Entrepreneurship has been recognized as one of the crucial mechanisms for a nation’s sustainable economic development. Entrepreneurship is a key engine that propels economic growth and employment opportunity creation. The purposes of this study are: (1) to develop and validate the Thailand Entrepreneurial Spirit Index (THESI) in combination with multidimensional entrepreneurial cognition scales, by examining the attitudes, motivations, and ambitions of individuals starting businesses; and (2) to investigate the impacts of a multitude of perception factors and demographic factors on entrepreneurial intent. Based on 1,180 samples of the Thai population collected via a telephone survey in 2021, the results of tetrachoric correlation and factor analysis showed that the THESI index can be formulated and explained by six variables: entrepreneurial intent (b = 0.690), opportunity recognition (b = 0.711), self-skill perception (b = 0.935), entrepreneurial networking (b = 0.743), perceived ease of doing business (b = 0.470), and fear of failure (b = –0.118). The results of binary logistic regression analysis revealed that opportunity recognition, self-skill perception, entrepreneurial networking, perceived ease of doing business, and fear of failure have significant effects on entrepreneurial intent. Interestingly, females are 36.6% less likely than males to declare entrepreneurial intent. Older adults over age 61 indicate significantly lower entrepreneurial intent, at 76.8%, compared with younger people 18 to 30 years old. The amount of formal education a person possesses has a considerable negative impact on their desire to start a business. The group of respondents holding above a bachelor’s degree sample shows 22.0% lower entrepreneurial intent than the group holding a bachelor’s degree or below. Our research is among the few pioneering efforts to provide an improved idea of how to quantify an unlikely, non-measurable concept: the entrepreneurial spirit. This novel THESI index will help national entrepreneurial policymakers evaluate the degrees of entrepreneurship at a societal level. The value of this THESI index relies upon applied simpler metrics to portray a key issue related to the interpretation of entrepreneurship at the societal level. Doi: 10.28991/ESJ-2022-06-03-05 Full Text: PDF
Analyzing Second Language Written Summaries at University Level Katarina Zamborova; Blanka Klimova
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01322

Abstract

Objective: The objectives of the study are to identify and categorize non-native students´ errors in the written summaries, to see which research instruments – the mobile reading app (experimental group) or internet-based article (control group) are more effective, and to determine if language proficiency of students will improve. Methods: This study uses an analysis of linguistic-stylistic errors as a research method on the written performance of 29 EFL Slovak students in 29 written summaries. Findings: The findings indicate that the most problematic areas in writing summaries were grammatical (determiners), followed by stylistic (text coherence, slang words, and punctuation), lexical (word collocations), and lexico-stylistic errors (prepositions). Overall, students´ proficiency in both groups rose from B2 to C1 level by 38% of the students (11 students). Therefore, both methods – the reading app and internet-based articles are effective. Novelty: The novelty of the study consists in enriching the existing literature by pointing out errors of EFL Slovak students making in writing summaries by exploiting modern technology in the writing process. Doi: 10.28991/esj-2021-01322 Full Text: PDF

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