Emerging Science Journal
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Published By Italian Journal Of Science And Engineering

2610-9182

2022 ◽  
Vol 6 (1) ◽  
pp. 64-74
Author(s):  
Wilert Puriwat ◽  
Suchart Tripopsakul

Social responsibility is understood to be one of the crucial strategic responsibilities for organizations across the globe. In the digital era, firms have transformed social responsibility initiatives into digital platforms. This study aims to investigate the effects of digital social responsibility (DSR) on electronic word of mouth (eWOM) and purchase intention (PI) in the social media context. This survey research is based on 214 samples, collected via an online questionnaire as a research tool. Structural equation modelling has been used to validate the proposed hypotheses. The results show that perceived DSR has significant positive influence on consumers’ attitude (b = 0.408) and eWOM (b = 0.238). The mediation analysis indicates that consumers’ attitude partially mediates the relationship between DSR and eWOM (DE = 0.238, IE = 0.154), and fully mediates the relationship between DSR and PI (DE = 0.08, IE = 0.173). Since few previous studies have explored the impact of DSR toward eWOM and PI, our study confirms the effects of DSR on consumers’ attitudes and eWOM. This empirical study can provide managers with further understanding of the effects of DSR via social media on consumers’ attitude and eWOM. Our results should also encourage firms to implement DSR initiatives to enhance consumers’ positive attitudes and spread positive word of mouth about firms. Doi: 10.28991/ESJ-2022-06-01-05 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 106-117
Author(s):  
Usman Pato ◽  
Dewi Fortuna Ayu ◽  
Emma Riftyan ◽  
Fajar Restuhadi ◽  
Wasisso Tunggul Pawenang ◽  
...  

This work aimed to analyze the physicochemical properties of cellulose from OPT used in the fabrication of CMF and evaluate the efficacy of the hydrogel CMF as an encapsulant for L. fermentum InaCC B1295 stored at room temperature and in the refrigerator. The Kjeldahl method was used to evaluate the protein content; the gravimetric method was used to determine OPT's ash, moisture, and fiber contents; the Soxhlet method was used to determine the fat content carbohydrates were computed using the difference method. The levels of holocellulose, lignin, and cellulose were also determined. Viability, acid and bile resistance of strain B1295 were evaluated at various temperatures for 35 days. The most abundant component of OPT fiber was cellulose, followed by hemicellulose and lignin. XRD examination revealed that OPT cellulose has a crystal index of 83.40%. FTIR analysis was used to detect the stretching vibrations of the –OH group on cellulose at 3419.03 cm-1. CMF hydrogel from OPT sustained L. fermentum InaCC B1295 survival for up to 28 days at room and refrigerated temperatures. At acidic conditions and in the presence of bile, the viability of L. fermentum InaCC B1295 was excellent, with a drop in cell population of less than 0.2 log CFU/g over 35 days at room and refrigerated temperatures. CMF obtained from OPT can be used as an encapsulant to maintain viability, acid resistance and bile of probiotics. There is still a need for research into the usage of CMF from OPT in combination with other encapsulants to extend the storage life of L. fermentum InaCC B1295. Doi: 10.28991/ESJ-2022-06-01-08 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 1-13
Author(s):  
Edward Edward ◽  
Amjad Fayoumi ◽  
Azar Shahgholian ◽  
Achmad Hidayanto

The Brexit referendum has impacted both the UK and the EU economies in several ways. The uncertainty around Brexit highlighted the importance of a relationships network between directors of companies to access information and resources that are necessary for optimal decision making. It is difficult to develop informed business and economy policies without a deep understanding of the magnitude of Brexit on business-to-business relationships with EU-based firms. This study aims to analyze the impact of the passage of the Brexit referendum on the evolution of board interlock networks. The study uses network analysis to measure the evolution of UK-EU directors’ relationships over the Brexit period, predominantly between the 2010 and 2020 period. The study models the structural changes in dynamic networks by converting this evolving network into static graphs on yearly basis. The analysis indicates that links formation in the UK is affected negatively by the Brexit referendum. It also has a negative impact on forming a new link with potential companies’ directors in the EU, but it shows a rising tendency for shared affiliation bias analysis. Interestingly, the contradicted trend in 2007, the number of directors’ connection in consumer service and food & drug sectors was decreasing in the UK while rocketing in the EU. Doi: 10.28991/ESJ-2022-06-01-01 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 37-52
Author(s):  
Aaron Anil Chadee ◽  
Xsitaaz T. Chadee ◽  
Clyde Chadee ◽  
Festus Otuloge

The tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the geometrical notion that there is a discontinuity between gains and losses, and that individual preferences change relative to a reference point. This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Markowitz’s triply inflected value function concept to unravel methodological assumptions which were not fully addressed by either PT or cumulative PT. Our findings suggest a need to account for continuity and to resolve this violation of PT at the reference point. In so doing, an alternative preference transition theory, was proposed as a solution that includes a phase change space to cojoin these three separate parameters into one continuous nonlinear model. This novel conceptual model adds new knowledge of risk and uncertainty in decision making. Through a better understanding of an individual’s reference point in decision making behaviour, we add to contemporary debate by complementing empirical studies and harmonizing research in this field. Doi: 10.28991/ESJ-2022-06-01-03 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 14-36
Author(s):  
João M. S. Carvalho

This study had three objectives: to discover the main concepts and theories used in research around entrepreneurship; systematize the entrepreneurial process in a model that allows teaching it more efficiently, and substantiate the model by applying it to various social entrepreneurship projects. To this end, a systematic scoping review was carried out to identify the main concepts, theories, and processes, which constitute the six crucial building blocks to someone could be successful as a(n) (social) intra/entrepreneur. Then, a design-science approach led us to use real social innovation and social entrepreneurship cases to evaluate the constructs and the model. Consequently, it is concluded that all concepts, theories and models identified can be classified as external factors (Context and Resources), internal factors (Objectives and entrepreneurial Will) and achievements (Action and Impact). The CROWAI model fits well with the data obtained on 465 innovation and social entrepreneurship projects. Thus, this model presents a more comprehensive approach, applicable to all profitable or social intra/entrepreneurship situations, allowing this new conceptual arrangement to be more easily taught. Additionally, it makes sense to use the term ‘social’ in innovation and intra/entrepreneurship because it has excellent defining power of the scope one wants to achieve with human endeavours. Doi: 10.28991/ESJ-2022-06-01-02 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 86-105
Author(s):  
Jan Fuka ◽  
Robert Baťa ◽  
Kateřina Josková ◽  
Jiří Křupka

Mixed methods research methodology appears to be a suitable approach for researching complex phenomena such as emergencies. Researchers study the impacts on different areas such as economy, society, or environment, mostly in separate studies. To better understand the reality of emergencies, it is necessary to study the problem in the broadest possible context. So, examining those impacts in one single study is a challenge. The objective of this article is to process a comprehensive assessment of an emergency that has the potential to establish the basis of a robust tool for public managers to support their decision-making, using mixed methods research methodology. The crisis is an explosion of an ammunition storage site in the Czech Republic - the former satellite country of the Soviet Union. The sub-methods used in mixed methods research are analysis of data, interviews, questionnaire surveys, and field research. The main findings include that in the economic area, growth of public budget expenditures was found; in the environmental area, primary and inducted impacts have been proved. Survey also confirms that the emergency reduced the personal sense of security and trust in public institutions in the affected community. Doi: 10.28991/ESJ-2022-06-01-07 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 53-63
Author(s):  
Steph Subanidja ◽  
Fangky Antoneus Sorongan ◽  
Mercurius Broto Legowo

The study investigates the existence of a fintech entity that effect sustainable bank performance through competitive advantage and introduces a new fintech entity as an antecedent of competitive advantage and performance. Analysis of the causes of disturbance of the performance uses quantitative and qualitative approaches. The study uses 59 questionnaires returned from all 70 bank financial managers as a National Commercial Bank Association member. Five informants were selected from the Central Bank of Indonesia, the Financial Services Authority, the Indonesian Fintech Association, a bank business player, and the Commercial Bank Association Management. Using Partial Least Square, the results show that the fintech entity can drive sustainable bank performance, directly and indirectly, through competitive advantage. The existence of fintech is a dominant factor for achieving performance. From the informants, the results show that collaboration with a fintech entity is necessary and initially, the banks in running a business based on a perspective of experience. Moreover, Informants predicted that fintech and competitive conditions would significantly influence performance in the present and the future. Then, the implication is that fintech cannot be avoided but must be embraced as bank cooperation partners to sustain the performance. Doi: 10.28991/ESJ-2022-06-01-04 Full Text: PDF


2022 ◽  
Vol 6 (1) ◽  
pp. 75-85
Author(s):  
Abdalhussain A. Khadayeir ◽  
Ahmed H. Wannas ◽  
Falah H. Yousif

Objective: In this study, α-Fe2O3 thin film was formed on a glass substrate to study the impact of adding cold plasma on the self-cleaning and antibacterial properties of the samples. Method: The samples were synthesized using the chemical spray pyrolysis (CSP) method at 450°C. X-ray powder diffraction (XRD), scanning electron microscope (FESEM), energy-dispersive X-ray spectroscopy (EDS), and atomic force microscope were used to investigate the morphological and structural characteristics of α-Fe2O3 thin layers prior to and following plasma injection. Finding: The degree of wettability and antibacterial characteristics of iron oxide (hematite) thin film were evaluated in the presence of gram-negative and gram-positive bacteria prior to and following plasma injection, given the great potential of plasma injection in the surface modification of thin films. Novelty: The findings indicate that exposing plasma to α-Fe2O3thin film produces substantial changes in morphology, self-cleaning, and antibacterial characteristics. Doi: 10.28991/ESJ-2022-06-01-06 Full Text: PDF


2022 ◽  
Vol 4 ◽  
pp. 167-189
Author(s):  
Dwi Joko Suroso ◽  
Farid Yuli Martin Adiyatma ◽  
Panarat Cherntanomwong ◽  
Pitikhate Sooraksa

Most applied indoor localization is based on distance and fingerprint techniques. The distance-based technique converts specific parameters to a distance, while the fingerprint technique stores parameters as the fingerprint database. The widely used Internet of Things (IoT) technologies, e.g., Wi-Fi and ZigBee, provide the localization parameters, i.e., received signal strength indicator (RSSI). The fingerprint technique advantages over the distance-based method as it straightforwardly uses the parameter and has better accuracy. However, the burden in database reconstruction in terms of complexity and cost is the disadvantage of this technique. Some solutions, i.e., interpolation, image-based method, machine learning (ML)-based, have been proposed to enhance the fingerprint methods. The limitations are complex and evaluated only in a single environment or simulation. This paper proposes applying classical interpolation and regression to create the synthetic fingerprint database using only a relatively sparse RSSI dataset. We use bilinear and polynomial interpolation and polynomial regression techniques to create the synthetic database and apply our methods to the 2D and 3D environments. We obtain an accuracy improvement of 0.2m for 2D and 0.13m for 3D by applying the synthetic database. Adding the synthetic database can tackle the sparsity issues, and the offline fingerprint database construction will be less burden. Doi: 10.28991/esj-2021-SP1-012 Full Text: PDF


2021 ◽  
Vol 4 ◽  
pp. 154-166
Author(s):  
Iswanto Suwarno ◽  
Alfian Ma’arif ◽  
Nia Maharani Raharja ◽  
Adhianty Nurjanah ◽  
Jazaul Ikhsan ◽  
...  

A lava flood disaster is a volcanic hazard that often occurs when heavy rains are happening at the top of a volcano. This flood carries volcanic material from upstream to downstream of the river, affecting populous areas located quite far from the volcano peak. Therefore, an advanced early warning system of cold lava floods is inarguably vital. This paper aims to present a reliable, remote, Early Warning System (EWS) specifically designed for lava flood detection, along with its disaster communication system. The proposed system consists of two main subsystems: lava flood detection and disaster communication systems. It utilizes a modified automatic rain gauge; a novel configured vibration sensor; Fuzzy Tree Decision algorithm; ESP microcontrollers that support IoT, and disaster communication tools (WhatsApp, SMS, radio communication). According to the experiment results, the prototype of rainfall detection using the tipping bucket rain gauge sensor can measure heavy and moderate rainfall intensities with 81.5% accuracy. Meanwhile, the prototype of earthquake vibration detection using a geophone sensor can remove noise from car vibrations with a Kalman filter and measure vibrations in high and medium intensity with an accuracy of 89.5%. Measurements from sensors are sent to the webserver. The disaster mitigation team uses data from the webserver to evacuate residents using the disaster communication method. The proposed system was successfully implemented in Mount Merapi, Indonesia, coordinated with the local Disaster Deduction Risk (DDR) forum. Doi: 10.28991/esj-2021-SP1-011 Full Text: PDF


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