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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 25 Documents
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Search results for , issue "Vol 7, No 2 (2023): April" : 25 Documents clear
Fear and Group Defense Effect of a Holling Type IV Predator-Prey System Intraspecific Competition Rian Ade Pratama; Martha Loupatty; Hariyanto Hariyanto; Wahyu Caesarendra; Wahyu Rahmaniar
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-06

Abstract

Field and experimental data on aquatic ecosystem species show the effect of fear on changing prey demographics. The fear effect has an impact on aquatic ecosystems, such as species migration to settled areas. In this paper, the type of research described is a literature study. The cost effect assigned to the reproductive system of the prey population and the predation function response are given as Holling Type IV for research purposes to model the fear effect. Some research novelties, the equilibrium points are all shown in the population dynamics system model with an analysis of positive equilibrium. Positive and biologically realistic equilibrium points were analyzed using the Routh-Hurwitz criterion which is mathematically a local asymptotically stable. A pair of imaginary eigenvalues with a negative real part can increase population growth. An equilibrium region showing equilibrium for several parameters such as extinction, no predators, and two populations coexisting in a sustainable manner. The correlation and fluctuation of fear and fear cost were investigated to obtain a better model. The results of the numerical simulations show that the prey population becomes more daring to fight or fighting power with significant prey growth rates or high predator mortality rates. Doi: 10.28991/ESJ-2023-07-02-06 Full Text: PDF
Artificial Intelligence and Its Ethical Implications for Marketing Ana Rita Gonçalves; Diego Costa Pinto; Paulo Rita; Tamara Pires
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-01

Abstract

Despite the recent developments in AI, ethical questions arise when consumers contemplate how their data is being treated. This paper develops a conceptual model building on the theory of acceptance, risk, trust, and attitudes towards AI to understand the drivers that lead consumers to accept AI, considering consumers' ethical concerns. The model was empirically tested with 200 consumers of AI marketing services. The findings reveal that perceived risk significantly impacts attitudes toward AI, ethical concerns, and perceived trust and suggest a significant association between perceived risk, ethical concerns, and social norms. This research provides important theoretical and managerial implications for the ethical aspects of AI in marketing by highlighting the ethical and moral questions surrounding AI's acceptance. Doi: 10.28991/ESJ-2023-07-02-01 Full Text: PDF
Secure Distributed Cloud Storage based on the Blockchain Technology and Smart Contracts Solonas Gousteris; Yoannis C. Stamatiou; Constantinos Halkiopoulos; Hera Antonopoulou; Nikos Kostopoulos
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-012

Abstract

Objectives: This paper addresses the problem of secure data storage and sharing over cloud storage infrastructures. A secure, distributed cloud storage structure incorporating the blockchain structure is proposed that supports confidentiality, integrity, and availability. Methods/Analysis: The proposed structure combines two well-known technologies: one of them is the Ethereum Blockchain and its Smart Contracts and the other is the RSA encryption and authentication scheme. The Ethereum Blockchain is used as a data structure, which ensures data availability and integrity while RSA provides sensitive data confidentiality and source authentication. Findings: As a result, users of the proposed structure can trust it and be certain that they can securely exchange information through a publicly accessible and shared cloud storage. The application can be used either through a user interface (UI) or a command-line interface (CLI). Novelty /Improvement:The novelty of this work is that the system that is proposed could be used for secure data storage on the cloud as well as for file sharing and authentication verification. Also, secure data storage and file sharing are already offered by the proposed system. Doi: 10.28991/ESJ-2023-07-02-012 Full Text: PDF
Increasing Job Satisfaction, Organizational Commitment and the Requirement for Competence and Training Setyo Riyanto; Unang Toto Handiman; Mikaria Gultom; Adriani Gunawan; Juniawan M. Putra; Hendro Budiyanto
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-016

Abstract

Many studies have examined the relationship between training and employee job satisfaction, the relationship between employee training and organizational commitment, the relationship between competence and employee job satisfaction, and the relationship between competence and organizational commitment, but there are still many unanswered questions. In particular, research has not explained how training and competence directly affect job satisfaction and managerial competence and how training and competence indirectly affect organizational commitment through job satisfaction. Therefore, this study investigates how training and competence directly affect job satisfaction and organizational commitment. Indirectly, training and competence affect organizational commitment through job satisfaction. Survey-based data collection was collected by purposive sampling, which included 280 employees from BPJS who participated in the training. The findings from the path analysis, along with measurements and structural tests, are very supportive of the employee training program. The findings show that employee training and competence directly affect job satisfaction and organizational commitment. The findings also show that training and employee competence indirectly affect organizational commitment through job satisfaction. Finally, employee job satisfaction affects managerial competence. This study shows that employee training is an effective way for organizations to achieve their goals. Doi: 10.28991/ESJ-2023-07-02-016 Full Text: PDF
User-Centric Measures of the Perceived Light Qualities of Lighting Products Carolina Hiller; Magdalena Boork; Johanna Enger; Karin Wendin
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-022

Abstract

Nowadays, lighting planning is predominantly determined by the need to meet physically measurable requirements that are often based on current lighting standards. However, meeting the minimum technical requirements of the standards is no guarantee for a visually appealing light environment. Instead, requirements based on perceived light qualities also need to be included to achieve better user comfort. Taking perception-based qualities into consideration when creating a light environment is, for many, not an easy task. In addition, a common terminology for perceived light qualities is currently lacking, both in industry and in research. The aim of this paper is, therefore, to explore how perceived light qualities of white light sources can be described when employing user-centric measures. The focus was on the qualities of light colour and diffuse and distinct light since these qualities have a great impact on the visual impression of light. The perception was assessed by applying analytical sensory analysis to lighting products, a method found to be promising in previous work. The methodology is based on analytical measurement by the human senses, which is particularly valuable when developing a general terminology. Since sensory analysis is still quite new to the topic of lighting, the applicability of using the methodology to assess lighting in a real context was also investigated. The results of the studies showed that the perception of light qualities can be described using further concepts in addition to those currently used. For light colour, the concepts of reddish, bluish, yellowish, and greenish light colours proved suitable for providing a richer description of the quality. The concepts of diffuse and distinct light satisfactorily captured variations in light contrast produced by shadows, reflections, and sparkles. In addition, the studies revealed that analytical sensory analysis was applicable for assessing the perception of lighting in a real-world context. The latter means that knowledge gained in the laboratory can be translated into real environments. The user-centric measures investigated in this paper have contributed to the terminology related to perceived light qualities. These can complement the physical measures in lighting planning to promote light environments that are not only energy efficient and meet technical requirements, but also cater for increased user comfort. Doi: 10.28991/ESJ-2023-07-02-022 Full Text: PDF
Collective Action in Institutional Entrepreneurship: The Case of a Government Agency Luís Pimentel; Maria Major; Ana Cruz
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-017

Abstract

This paper seeks to analyze how and why divergent institutional changes occurred in a government agency. While there is evidence of research on the concept of collective action and involvement in the literature on institutional entrepreneurship, the focus has been at the macro and field levels, with scarce attention being given to the topic at the micro and organizational levels. This study addresses this gap in the literature, drawing on the institutional entrepreneurship process model of Battilana, Leca, and Boxenbaum (The Academy of Management Annals), in combination with literature on collective action. The methodology involved a longitudinal case study, in which data were collected through extensive interviews and documentation analysis. Based on findings showing that the divergence change process could not be achieved without the support of organizational collective involvement, a refined version of the Battilana et al. entrepreneurial model is proposed. Doi: 10.28991/ESJ-2023-07-02-017 Full Text: PDF
Big Data Analytics and Auditing: A Review and Synthesis of Literature Yaseen A. A. Hezam; Lilian Anthonysamy; Susela Devi K. Suppiah
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-023

Abstract

The use of data analytics in auditing is increasingly growing. The application of common data analytics to audit engagements appears to be lagging behind other areas of practice, even though data analytics is thought to represent the future of audit, and there are still few publications that have examined this influence. This article reviews data analytics in audits and its potential for future audit engagements to describe the evolution of this research trend and picture its future growth directions. Future audit research potential and difficulties are also discussed. Data analytics application in auditing has enormous potential for refining audit quality, decreasing errors, increasing process transparency, and enhancing stakeholders’ confidence. We conducted a systematic literature review using the PRISMA approach. A total of 100 articles published in English from January 2011 to November 2021 were identified through a systematic search of reputed databases, including Web of Science and Scopus and many others. Our analysis reveals that data analytics is a promising domain for the auditing practice as it improves audit efficiency and promotes audit work digital transformation. While reviewing the most pertinent literature in the context of data analytics in auditing, this study offers insights on potential new directions and waning views on big data analytics in auditing. Doi: 10.28991/ESJ-2023-07-02-023 Full Text: PDF
A Causal Model of Relationship between Organizational Climate Influencing Happiness at Work and Organization Engagement Ekkasit Sanamthong; Suebpong Prabyai
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-018

Abstract

This research aimed to study the level of organizational climate, happiness at work, and organization engagement. It included research into the relationship between organizational climate and employee happiness and engagement, as well as the direct and indirect effects of organizational climate on employee happiness and engagement. A sample of 400 employees was used. The findings revealed the following: 1) Organizational Climate (OC) directly influencing Happiness at Work (HW) had an influence coefficient of 0.92 with a statistical significance level of 0.05. 2) Organizational Climate (OC) directly influencing Organization Engagement (OE) had the influence coefficient of 0.32 with the statistical significance at the level of 0.05 and indirectly influencing Organization Engagement (OE) through Happiness at Work (HW) had the influence coefficient of 0.59 with the statistical significance at the level of 0.05. 3) Happiness at Work (HW) directly influencing Organization Engagement (OE) had an influence coefficient of 0.64 with a statistical significance level of 0.05. 4) Organizational Climate (OC) could forecast 85 percent of Happiness at Work (HW). 5) Organizational Climate (OC) and Happiness at Work (HW) could jointly forecast 89 percent of Organization Engagement (OE). Doi: 10.28991/ESJ-2023-07-02-018 Full Text: PDF
Artificial Intelligence-based Control Techniques for HVDC Systems Ali Hadi Abdulwahid
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-024

Abstract

The electrical energy industry depends, among other things, on the ability of networks to deal with uncertainties from several directions. Smart-grid systems in high-voltage direct current (HVDC) networks, being an application of artificial intelligence (AI), are a reliable way to achieve this goal as they solve complex problems in power system engineering using AI algorithms. Due to their distinctive characteristics, they are usually effective approaches for optimization problems. They have been successfully applied to HVDC systems. This paper presents a number of issues in HVDC transmission systems. It reviews AI applications such as HVDC transmission system controllers and power flow control within DC grids in multi-terminal HVDC systems. Advancements in HVDC systems enable better performance under varying conditions to obtain the optimal dynamic response in practical settings. However, they also pose difficulties in mathematical modeling as they are non-linear and complex. ANN-based controllers have replaced traditional PI controllers in the rectifier of the HVDC link. Moreover, the combination of ANN and fuzzy logic has proven to be a powerful strategy for controlling excessively non-linear loads. Future research can focus on developing AI algorithms for an advanced control scheme for UPFC devices. Also, there is a need for a comprehensive analysis of power fluctuations or steady-state errors that can be eliminated by the quick response of this control scheme. This survey was informed by the need to develop adaptive AI controllers to enhance the performance of HVDC systems based on their promising results in the control of power systems. Doi: 10.28991/ESJ-2023-07-02-024 Full Text: PDF
Improving Metacognitive Ability and Learning Outcomes with Problem-Based Revised Bloom's Taxonomy Oriented Learning Activities I Gusti Agung Lanang Parwata; I Nyoman Laba Jayanta; I Wayan Widiana
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-019

Abstract

This study aims to analyze the impact of Bloom's revised taxonomy-oriented learning activities with problem-based learning models on students' metacognitive skills and learning outcomes. A quasi-experimental design is used as the research method, and the quasi-experimental design is implemented as a pure post-test-control design. All fourth-year students participated in the study, with a total of 132 students participating. The sample was randomly selected and corresponded to 84 students. A 10-question test was used to collect the data. MANOVA with SPSS support was used as the analytical method. The significance of the test results was < 0.00. According to the results, 0.05. This means that learning that uses a combination of problem-based learning models and learning activities aligned with the revised Bloom taxonomy can influence students' metacognitive skills and learning outcomes. Students are at the central of their learning, so they are actively involved in the learning process. This learning activity develops students' metacognitive skills and provides an opportunity to reflect on what they know about themselves and to be honest and confident in their knowledge. Additionally, learning activities are organized by learning objectives to help students improve their learning outcomes. Doi: 10.28991/ESJ-2023-07-02-019 Full Text: PDF

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