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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 874 Documents
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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
Current and Historical Application of Knowledge Management in Economy Tomé, Eduardo
Emerging Science Journal Vol 4, No 6 (2020): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2020-01245

Abstract

Objectives: The paper tries to analyse the current and historical application of Knowledge Management in the Portuguese Economy, particularly since the democratic revolution of 1974. Methods/Analysis: Study is based in theories about the impacts of knowledge in countries at a micro and a macro scale. A three levels mode is used, related to context (namely 1) Historical background; 2) basic economic and social data: 3) broad vocational education and training (VET) systems; 4) institutional actors; 5) political context),  intervention (namely 1) basic legislative documents, 2) guidelines on eligibility, 3) programs, 4) evaluation procedures) and outcomes (namely 1) stocks, investment, and outcomes; 2) price, quantity, supply, demand, equilibria; 3) needs).  Data used are statistical published data and other published documents. Findings: The context changed for the better, because after 1974 the country rulers installed a regime in which knowledge was not seen like a luxury but as a basic need; the change in context was also helped by the adhesion to the EU, which in turn led to massive interventions supported by funds like the ESF and the Regional fund; as a result outcomes are finally seen, as the increase in supply and demand of knowledge and also in the income and employability of the Portuguese attests. Novelty/Improvement These findings are important because they depict the slow but sure transformation of Portugal into a Knowledge Economy. Should be complemented by a more detailed analysis, with a larger group of researchers. Doi: 10.28991/esj-2020-01245 Full Text: PDF
Bibliometric Analysis of Trends in Theory-related Policy Publications Zahra, Abitassha Az; Nurmandi, Achmad; Tenario, Christine B.; Rahayu, Riska; Benectitos, Samantha Herector; Mina, Faye Lorraine P.; Haictin, Ken M.
Emerging Science Journal Vol 5, No 1 (2021): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01261

Abstract

This study's bibliometric analysis evaluates the scope and trends of theory-related policy publications in various international journals. The method used the Scopus search engine on random journals in identifying policy-related publications. The study also used a data visualization software called VOSviewer to analyze the results, underlying network linkages, and information production trends in policy analysis. The findings shows that only a few proportions of policy-related researches apply theories in their study. Field-specialized journals were having practitioners publish less research as compared to interdisciplinary science and technology journals. This article calls for greater engagements among scholars, and for policy researchers to more explicitly consider how their work might contribute to the understanding of the policy challenges. The findings also shows that it is important to recognize the approach and theory behind policy development to determine the incremental nature of aspects involved in policy development. It is extremely valuable to be clear that if one deals only with conceptual level of policy research without testing those ideas against independent empirical information, then scientific theory development is not possible. Thus, failure to consistently and clearly make theory connection towards policy research is a lost opportunity for scholars to influence policy thinking and public argument. Doi: 10.28991/esj-2021-01261 Full Text: PDF
The Effect of Swabs on Modeling the First Wave of the COVID-19 Pandemic in Italy Claudia Furlan; Cinzia Mortarino
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-04

Abstract

The daily fluctuations in the released number of Covid-19 cases played a big role at the beginning of the pandemic, when local authorities in Italy had to decide whether imposing restrictive policies. When an increase/decrease was communicated, especially a large one, it was difficult to understand if it was due to a change in the epidemic evolution or if it was a fluctuation due to other reasons, such as an increase in the number of swabs or a delay in the swab processing. The aim of this paper is both to model the main trend of the outbreak evolution in the number of confirmed cases and to describe the daily fluctuations strongly dependent on the daily number of swabs. For our analysis, we propose a nonlinear asymmetric diffusion model, which includes information on the daily number of swabs, to describe daily fluctuations in the number of confirmed cases in addition to the main trend of the outbreak evolution. The proposed model is found to be the more efficient for prediction, as compared to 6 already existing models, including the SIRD and the logistic models. The new model combines the properties of innovation diffusion models with a parsimonious way to exploit information about swabs. Doi: 10.28991/esj-2021-SPER-04 Full Text: PDF
Understanding Food Delivery Mobile Application Technology Adoption: A UTAUT Model Integrating Perceived Fear of COVID-19 Wilert Puriwat; Suchart Tripopsakul
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-08

Abstract

The COVID-19 pandemic has changed people’s lifestyles and catalysed digital platform adoption, including within the context of the food delivery business. During the COVID-19 pandemic, food delivery mobile applications gained numerous new users, with the industry being one of the few domains to have leveraged the pandemic’s outbreak. This study investigates the factors that have influenced the adoption of food delivery mobile application technology during the pandemic in Thailand. The research model was adopted from the Unified Theory of Acceptance and Use of Technology (UTAUT) model, integrating perceived fear of COVID-19. Empirical research was conducted using data from 223 food delivery mobile application users in Thailand, with Structural Equation Modelling used to validate the model and analyse the hypotheses. The results indicate that the intention to use food delivery applications was significantly influenced by social influence, performance expectancy, effort expectancy, and perceived fear. Facilitating conditions significantly impacted actual usage behaviour, with moderating results revealing a stronger influence on behaviour intention of perceived fear of COVID-19 among females than males and among younger respondents than older respondents. The variance explained by the modified UTAUT model for intention to adopt food delivery mobile application technology was found to be 59.4%. This research makes a significant contribution to the literature in terms of validating a theory-driven framework that emphasizes the factors which impact the adoption of food delivery mobile application technology in the context of the COVID-19 pandemic. Doi: 10.28991/esj-2021-SPER-08 Full Text: PDF
Determination of Iron, Copper and Zinc in the Wine by FAAS Durguti, Valon Ylvi; Aliu, Suzana; Laha, Fisnik; Feka, Fidan
Emerging Science Journal Vol 4, No 5 (2020): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2020-01240

Abstract

Objectives: The purpose of this paper has been to determine quantitatively the presence of some heavy metals (Fe, Cu and Zn) which are of particular importance for the wine quality and human health. A total of 41 samples have been analyzed during different stages of winemaking. Methods: The determination of heavy metals is done by analytical technique known as Flame Atomic Absorption Spectroscopy (FAAS). The limit set by the EU directive EC 606/2009 and International Office of Vine and Wine (OIV) has been taken as reference values. Results and Discussion: None of the analyzed samples has exceeded the limits set by the EU and OIV, excluding the type of white wine known as Rhine Riesling. In this sample the Cu concentration exceeds several times the permissible values. Findings: It has been observed that heavy metals immediately after the alcoholic fermentation process probably continue to remain even for a while in the upper part until wine sediment forms at the bottom of the tank. A higher concentration of heavy metals was observed in the samples taken from the bottom of the wine tank. Conclusion: The analyzed wines samples do not pose a risk in the future to human health. Doi: 10.28991/esj-2020-01240 Full Text: PDF
Theory and Practice of Neuromarketing: Analyzing Human Behavior in Relation to Markets Bočková, Kateřina; Škrabánková, Jana; Hanák, Michal
Emerging Science Journal Vol 5, No 1 (2021): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01256

Abstract

The presented paper deals with a comprehensive interpretation of the term neuromarketing, as a discipline that applies neuroscientific methods to analyze and to understand human behavior in relation to markets and market exchanges. Due to the topic, this paper presents mainly secondary data, next the questionnaire is used. We state that neuromarketing is a discipline that applies neuroscientific methods to analyze and to understand human behavior in relation to the markets and market exchanges. Each of the neuromarketing techniques measures different data and suits different purposes, with a combination of the most reliable results. The interest in the theoretical research of neuromarketing focuses on the consumer decision-making process. One of the main benefits of neuromarketing is the potential to measure accurate, objective data that can be used to make informed decisions in management practice. However, it is currently only a complement to other areas of marketing and will be beneficial if it is used to obtain otherwise inaccessible data. We are convinced that the existence of the Neuromarketing Center in the ITI of the Olomouc agglomeration will be a significant contribution to the development of the neuromarketing theory. Doi: 10.28991/esj-2021-01256 Full Text: PDF
Overview of Biosignal Analysis Methods for the Assessment of Stress I. Ladakis; I. Chouvarda
Emerging Science Journal Vol 5, No 2 (2021): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01267

Abstract

Objectives: Stress is a normal reaction of the human organism induced in situations that demand a level of activation. This reaction has both positive and negative impact on the life of each individual. Thus, the problem of stress management is vital for the maintenance of a person’s psychological balance. This paper aims at the brief presentation   of stress definition and various factors that can lead to augmented stress levels. Moreover, a brief synopsis of biosignals that are used for the detection and categorization of stress and their analysis is presented. Methods: Several studies, articles and reviews were included after literature research. The main questions of the research were: the most important and widely used physiological signals for stress detection/assessment, the analysis methods for their manipulation and the implementation of signal analysis for stress detection/assessment in various developed systems.  Findings: The main conclusion is that current researching approaches lead to more sophisticated methods of analysis and more accurate systems of stress detection and assessment. However, the lack of a concrete framework towards stress detection and assessment remains a great challenge for the research community. Doi: 10.28991/esj-2021-01267 Full Text: PDF
Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach Adnan Bakri; M.F.M. Alkbir; Nuha Awang; Fatihhi Januddi; M. A. Ismail; Ahmad Nur Aizat Ahmad; Izatul Husna Zakaria
Emerging Science Journal Vol 5, No 3 (2021): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01283

Abstract

This paper outlines on the preliminary outcomes of pilot project aimed at exploring the issue related to managing of maintenance activity in the Malaysian Small and Medium Enterprises (SMEs). SMEs have been accepted as vital components of domestic industry development in many countries. However, the literature portrays that many of Malaysian SMEs particularly the companies involved in manufacturing, fabrication and machining services are struggling to manage the maintenance of their manufacturing equipment. Dependable manufacturing equipment is important factor towards organizational profitability. Managing the maintenance activity of those manufacturing equipment nowadays, is becoming more challenging due to automation and computerization. Due to such issues, SMEs companies are under stiff pressure to minimize lost time for their survival. Thus, this study seeks to explore the related issues towards further improvements. Qualitative research methodology was adopted in the study. Data were collected at eight (8) SMEs located in three (3) different areas, namely southern, central and eastern region of peninsular Malaysia. Information was gathered from semi-structured interviews with SMEs management and observations focuses on different areas of maintenance management at the respective SMEs. The main concern is to validate the critical success factors (CSFs) in managing the maintenance activity at selected SMEs. This study discovered that nine (9) CSFs are having the most significant impact towards improving the maintenance management practice for SMEs. These include: understanding the MM philosophy; management commitment and leadership; maintenance strategy; maintenance planning; maintenance training; monitoring and assessment; appropriate number of maintenance staff; integration of tools, techniques and technology, and; record of maintenance data. All those CSFs construct are integrated in a simple yet self-explanatory MM Framework to convey the conceptual idea of MM implementation program to the management and technical people within SMEs. It is believed that the MM Framework developed would serve as an indicator of company’s MM focus level. Through the identification of the CSFs constructs, the SMEs can utilize the information to improve their approach in systematic MM program. The discovered CSFs are vital for all stakeholders that directly or indirectly involve in managing the maintenance activity in SMEs. Doi: 10.28991/esj-2021-01283 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

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