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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 12 Documents
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Search results for , issue "Vol 5, No 4 (2021): August" : 12 Documents clear
Application of Simulation Modelling Means in Management Decisions-making within the Security and Defence Sector Bratko, Artem; Bereziuk, Viktor; Shevchenko, Artem; Kubetsky, Yaroslav; Didyk, Valentyn; Serkhovets, Serhii
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01294

Abstract

Problems and modern tendencies in the field of creating complex models of combat operations are considered. The systematic analysis of existing models of combat operations is carried out and their conformity to modern conditions and development of military art is defined. Features of combat operations models development when using means of simulation modelling are exposed with the use of a method of mathematical simulation. The structure of the complex simulation modelling of actions of forces is formed. The composition of standard models of components of the security and defence sector is determined and the sphere of their application is outlined, which allows controlling the unit in different situations at the stage of choosing decisions at different levels of management. The main directions of the development of modelling complexes and systems are determined. The practical implementation of these approaches, along with the implementation of the principles of cost-effectiveness of models, their coordinated development, system compatibility of models for different purposes and large-scale use of proven commercial decisions will create a cluster of combat operations models, which is a real tool for effective decision-making on troops management and allows laying down technical requirements for the development of a modern complex of simulation modelling. Doi: 10.28991/esj-2021-01294 Full Text: PDF
Modeling Contaminant Transport of Nitrate in Soil Column Ekeleme, Anthony Chibuzo; Ekwueme, Benjamin Nnamdi; Agunwamba, Jonah Chukwuemeka
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01290

Abstract

Soil forms solution when it is in contact with water or any liquid. This soil solution disperses into the ground in different parts, at different velocities. Hence, the chemical contents of the soil are leached gradually from soil with infiltrating water. Soil parameter characterizing this phenomenon is referred to as Solute dispersivity. The objective of this study is to model contaminant transport of nitrate in soil, calibrate and verify the model derived. Dispersion studies were performed in the laboratory using soil columns filled with silver nitrate (AgNO3) solution. Samples were collected from the column outlet at intervals of 5minutes and the dispersion coefficient calculated. The dispersion coefficient calculated was incorporated into existing Notordamojo’s model and solved. Results obtained from the research showed that the R2values ranging from 0.741 to 0.896 and 0.484 to 0.769 were obtained for the modified model and the existing Notordamojo’s model respectively. The model verified with the experimental data showed predicted transport was in close agreement with experimental values having coefficient of correlation (r) ranging from 0.86 to 0.98. The difference between the experimental and predicted results, when expressed as a percentage of the experimental value was less than 5%. The study has established that the modified model which accounted for variability in dispersion coefficient offered a better approach than the conventional one. Doi: 10.28991/esj-2021-01290 Full Text: PDF
Exploring Factors Influencing Open Innovation Adoption in SMEs: The Evidence from Emerging Markets Wilert Puriwat; Suchart Tripopsakul
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01295

Abstract

Open Innovation (OI) is among the vital innovation paradigms for assisting small and medium enterprises (SMEs) to effectively implement innovation initiatives. Drawing on the concepts of organisational agility and absorptive capacity with transaction cost theory, this study’s goal is to investigate factors affecting the adoption of an Open Innovation (OI) orientation in Thai SMEs. Using data from 214 SMEs in Thailand, structural equation modelling validated the model and analysed the proposed hypotheses. The results show that organisational agility, economic and financial readiness and absorptive capacity relate positively to OI adoption and innovation performance. Organisational agility (b = 0.553) had the greatest influence on OI adoption, then economic and financial readiness (b = 0.405) and absorptive capacity (b = 0.387) followed. The results of mediation analysis also reveal that OI adoption partially mediates the effects of organisational agility and absorptive capacity on innovation performance. Our study provides a trailblazing empirical analysis of the major factors influencing SMEs’ OI adoption and performance, extending knowledge of OI adoption by SMEs in emerging economies. The paper proposes a holistic framework for examining SMEs’ OI adoption and performance, through the integration of organisational agility, absorptive capacity and transaction-cost concepts. Doi: 10.28991/esj-2021-01295 Full Text: PDF
Evaluation of Reverse Logistics in Challenges within the Manufacturing Pharmaceutical Companies Mpho Sharon Makgedi Makaleng; Keith Richard Lambert
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01291

Abstract

The link between reverse logistics and logistics is being increasingly noted by logistics experts and researchers globally, especially in manufacturing pharmaceutical companies. This has led to the examination of reverse logistics challenges in manufacturing pharmaceutical companies. The main objective was to examine reverse logistics challenges in manufacturing pharmaceutical companies in the City of Tshwane (South Africa). The study aimed to find approaches to deal with the challenges of reverse logistics such as gatekeeping, managerial implications, technology, waste elimination, transportation, and product recalls within the industry. The study was empirical, and a quantitative approach was used. Furthermore, data analysis was conducted by using the Stata V13 statistical software where a descriptive analysis was employed. Questionnaires were posted via SurveyMonkey to the staff at fifty pharmaceutical companies. This resulted in a total of 127 respondents, which provided a response rate of 51%. The findings indicated that manufacturing pharmaceutical companies face a variety of challenges; such as lack of skills and skills transfer, transport, and gatekeeping (amongst others), when dealing with reverse logistics. It is thus recommended that processes and strategies involved in reverse logistics should be known and taken into consideration because of the importance of reverse logistics in manufacturing pharmaceutical companies. Doi: 10.28991/esj-2021-01291 Full Text: PDF
Associations between Traditional and Digital Leadership in Academic Environment: During the COVID-19 Pandemic Hera Antonopoulou; Constantinos Halkiopoulos; Olympia Barlou; Grigorios N. Beligiannis
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01286

Abstract

Objectives: Notably, as a result of the unique circumstances that the global population is facing (Covid-19), there has been an increase in interest in educational leadership science, particularly in academic environment, with the aim of enhancing an ecosystem that is inclusive, open to change, monitoring, and often unforeseen challenges. Of the various types of educational leadership, transformational leadership is recognized as the most suitable for use in academic environment. It focuses on the division of leadership responsibilities among academics with varying skills in order to handle collectively the spectrum of leadership responsibilities needed in a variety of contexts. Methods/Analysis: This perspective is embodied in this study paper, which examined the degree to which members of the Senate of three Universities of Greece, engaged in three distinct types of leadership (transformational leadership, transactional leadership, and leadership to be avoided) via digital leadership. The findings were interpreted using descriptive, diagnostic, predictive and prescriptive data analysis algorithms. Findings: The findings indicate that participants demonstrate a high level of Transformational and Transactional Leadership. They demonstrated a high level of Digital Leadership while avoiding Passive - To Avoid Leadership. The study demonstrates that Digital Leadership has a relatively favorable association with the leadership outcome, which is translated as a high level of performance and satisfaction coexisting with a high level of digital leadership execution. Novelty /Improvement: The research project indicates that a good leader who practices transformational leadership and is prepared with the necessary digital skills would be more effective in carrying out administrative responsibilities in an academic environment. Doi: 10.28991/esj-2021-01286 Full Text: PDF
Affective Engagement of Higher Education Students in an Online Course Wajeeh Daher; Kifaya Sabbah; Maysa Abuzant
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01296

Abstract

The present research studies the factors that have impacted the affective engagement of university students in an educational online course. It examines how the type of interaction (learner-learner, learner-instructor, and learner-content) and the type of engagement (behavioural, cognitive and affective) have influenced the affective engagement of the students in the online course. Nineteen university students majoring in teaching mathematics, who were enrolled in the course Mathematics Teaching Methods, participated in the present research. Two data collection tools were used: semi-structured interviews and reflections. To analyse the texts resulting from the interviews and reflections, inductive and deductive qualitative content analysis was used. The research results indicated that university students have experienced more positive than negative affective engagement in the three communicational channels used in this course to facilitate online learning, which were: synchronous lectures, forums and assignments. The results also indicated that these three types of interaction have positively influenced students’ affective engagement in the three channels, with that influence being different from one channel to the other based on the interaction type taking place. We suggest that specific types of engagement need to be attended to for positive affect to occur. Doi: 10.28991/esj-2021-01296 Full Text: PDF
The Complementary Effect between Private Consumption and Government Spending: Effect on the Economy Kida Nakije
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01292

Abstract

This paper analyzes the relationship between final consumption and government spending, using the correlation and linear regression model. The objective of the research is whether government expenditures are complementary, substitute, or not related to private consumption to give positive effects on the economy. Methodology, quantitative secondary data were obtained from the World Bank, for five countries and processed with SPSS, 21. The empirical analysis was verified through, Bivariate and Partial correlation and normality test. The Result, first, shows that government spending complements and replaces final consumption. Second, it is also confirmed that even when interacting with other variables, the complementary effect of final consumption is not eliminated despite the shocks coming from government spending. Third, by adding other variables to the model, the issue of complementarity and substitutability of the two main variables is not lost. As a result, findings, confirm that private consumption (InCt) and government spending (InGt), Gross Savings (GS), and per capita income (GDPpc), are in statistically significant and positive relationships with each other. The novelty of the paper is, government expenditures cause an increase in private consumption is to high value, showing the complementary effect of government expenditures on private consumption. Based on health expenditures, education, public order, internet provided by the state have increased the demand of families for these services, causing an increase in the share of services provided by the private sector.JEL Classification: E21; H5; E2; R0. Doi: 10.28991/esj-2021-01292 Full Text: PDF
The Influence of Optimism Bias on Time and Cost on Construction Projects Aaron Chadee; Salisha R. Hernandez; Hector Martin
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01287

Abstract

The unresolved scholarly debate to curtail cost and time performances in projects has led to alternate solutions, departing from the dominant technical school of thought to include concepts from behavioural sciences. In this paper, we consider the psychological effect, namely optimism bias, as one of the root causes for delays in cost overruns on projects. The research objectives were to determine the level of bias among project participants, rank time and cost overrun causes according to the participants’ bias score and establish a mitigation strategy to curb potential delays and cost overrun impacts based on the bias scores obtained. A literature survey was conducted to determine causal factors contributing to delays and cost overruns linked to optimism bias. Through a pilot survey of three semi-structured interviews, eighty factors obtained from the literature survey were reduced to 24 critical delay and cost overrun factors relevant to Trinidad and Tobago. A questionnaire was subsequently developed seeking construction professionals to rate their bias scores based on an 11-point Likert scale. The research confirms that project planners and decision-makers exhibit moderate levels of optimism bias; however, participants lacked awareness of the impact of optimism bias on projects outcomes. Project location, environmental impacts and historic preservation, and labour disputes are the top three critical factors where project professionals displayed increased optimistic tendencies. It is proposed that contingency “time window” and reference class forecasting be implemented as control mechanisms to mitigate the impacts of time and cost overruns on projects. This research introduces a novel method to account for and measure optimism bias on construction projects. This study adds knowledge into delays and cost overruns causation and provides a foundation for future studies on quantifying psychological effects on projects and enhancing overall project management practices. Doi: 10.28991/esj-2021-01287 Full Text: PDF
Harnessing E-Collaboration for Rural Tourism Recovery after COVID-19: Dual Analysis using SWOT and Porter’s Diamond Model Mardiana Purwaningsih; Betty Purwandari; Fathia Prinastiti Sunarso; Farisya Setiadi
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01297

Abstract

IT for rural tourism was in place before the COVID-19 pandemic emerged; however, the initiatives were intermittent and isolated. The effects of the pandemic encourage e-collaboration to accelerate the recovery of tourism. This study explores the opportunities, strategies and barriers to e-collaboration in tourism business activities. Systematic literature studies were carried out by the PRISMA approach and analyzed with the fuzzy Delphi method (FDM). Meta-analysis results are mapped in a matrix combination of SWOT and Porter’s Diamond Model. This matrix was discussed with experts selected based on their experience in IT-based collaborative activities through FDG. This study’s driving factors are management commitment, culture, trust, citizens, and local community involvement. Inhibiting factors are a lack of IT, the risk of conflict, and particular parties’ domination. Several strategies to increase e-collaboration opportunities are empowering local entrepreneurship, encouraging continuous innovation, and sharing knowledge. Conflict management and increasing trust between members need to be considered to overcome barriers to e-collaboration. This study provides a novel overview of the main issues discussed in previous tourism research regarding the importance of IT to accelerate economic recovery in the face of disruption, such as a pandemic. The study examines the case of Indonesia and hopes to become a reference for optimizing IT for the recovery of rural tourism in developing countries with similar characteristics. Doi: 10.28991/esj-2021-01297 Full Text: PDF
The Effectiveness of Hybrid Learning in Improving of Teacher-Student Relationship in Terms of Learning Motivation Ayu Aristika; . Darhim; Dadang Juandi; . Kusnandi
Emerging Science Journal Vol 5, No 4 (2021): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01288

Abstract

The Advanced Mathematical Thinking (AMT) ability is one of the prioritized mathematical abilities needed to be developed in learning mathematics during tertiary education. The present study sought to test the effectiveness of hybrid learning in improving students' advanced mathematical thinking. The research used a quasi-experimental design with a non-equivalent control group design. The subject of this study was students of a mathematics education study program at a university in Bandung who attended lecture for the multi-variable in a calculus course. The sampling technique used was purposive sampling. Of the many variable calculus classes consisting of 2 classes, one class was chosen as the experiment group and the other class as the control group. The sample consists of 40 people for each group. Data analysis used the MANOVA test with normality and homogeneity tests as a prerequisite test. The results showed a difference in AMT's significance between the hybrid learning and conventional groups, where hybrid learning had a higher AMT. Other than that, there is a difference in the significance of AMT between the high motivation group and the low motivation group, where high motivation has a higher AMT, and there is an interaction of learning models and motivational factors to increase AMT. Doi: 10.28991/esj-2021-01288 Full Text: PDF

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