HighTech and Innovation Journal
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The Impact of Social Media on the Development of Women Especially in Transition States
Get PDFThe main goal of this paper was to highlight the importance of social media in the development of women entrepreneurs in the state of Kosovo, where the number of women entrepreneurs is increasing every day. In this research, two objectives are presented: to analyze the influence of social media on women's entrepreneurship in the case of Kosovo and to measure the impact of social media usage on sales of women's entrepreneurship in the case of Kosovo. To realize this empirical research, a questionnaire containing 25 questions was used, and 750 women entrepreneurs answered this questionnaire over a period of 5 months. The results of the analysis are presented through descriptive analysis, Pearson correlation, and the OLS model. The results of this research show that social media has a positive effect on increasing sales in women-led businesses; they have easier access to communication. Also, the results indicate that these media have a positive impact on increasing the audience as well as reducing expenses during the marketing campaign. Based on the presented results, it is stated that social media is the primary influencer in the development of women's entrepreneurship, and these findings are nearly similar to the results of research conducted by authors from various countries. Doi: 10.28991/HIJ-2023-04-03-07 Full Text: PD
Physicochemical and Microstructural Characterization of Klias Peat, Lumadan POFA, and GGBFS for Geopolymer Based Soil Stabilization
Get PDFPeat soils are highly heterogeneous and considered problematic because they have a high moisture content and low shear strength. It requires stabilization to enhance its engineering properties before it is transformed into a viable construction material. The use of geopolymers as stabilizer materials for weak soils has been on the rise recently due to their low carbon footprint compared to the use of conventional stabilizer materials like cement. Geopolymerization occurs as a result of the alkali activation of aluminosilicate materials. In this study, peat soil and the aluminosilicate materials Palm Oil Fuel Ash (POFA) and Ground Granulated Blast Furnace Slag (GGBFS) are characterized to assess their suitability as geopolymer precursor materials. A series of laboratory studies were carried out to determine the physicochemical properties of the materials, such as particle size distribution, moisture and organic content, specific gravity, pH, and electrical conductivity. Furthermore, the XRD, XRF, and FESEM tests were carried out to ascertain the mineral characteristics, elemental chemical composition, and morphological characteristics of these materials, respectively. The peat soil is classified as hemic peat with sufficient aluminosilicate content (Si/Al ratio of 2.11). The POFA is identified as Class F pozzolan with adequate Si+Al+Fe oxide content (67.9%), as stipulated by ASTM C618. The GGBFS material was found to be appropriate for geopolymer production, with a Si/Al ratio of 2.17, a hydration modulus of 2.38 (good hydration), and a basicity coefficient of 1.32 (alkaline material favorable for geopolymerization). Based on the geopolymer precursor material suitability assessment criteria, all the materials assessed were deemed suitable for geopolymerization, and the effectiveness of POFA-GGBFS geopolymer to improve peat soil properties should be studied in depth. At present, there are limited studies pertaining to the use of alkali-activated POFA-GGBFS blends to improve peat soil properties. As a result of this material characterization phase, planned works involving the compressive strength testing program on alkali-activated POFA-GGBFS-peat soil blends at ambient temperature will be carried out in the near future. The eventual aim of this research is to remediate the peat soil to be repurposed as road subgrade material. Doi: 10.28991/HIJ-2023-04-02-07 Full Text: PD
Relationships between Brand Value and Country's GDP
Get PDFBrand development has emerged as a critical strategy for economic prosperity where assets from both physical and nonphysical sources significantly influence a nation's economy. However, the impact of these intangible assets on economic growth still requires further clarification. This study aims to investigate the relationship between nation brand value and economic growth and to examine whether this impact varies depending on countries' income levels. Based on data from the global soft power index and gross domestic product (GDP) of 120 countries from Brand Finance Nation Brands and Word Bank in 2022, linear regression and moderation analysis results reveal that nation brand values positively impact national economic growth. The results of the moderation effect analysis by the PROCESS macro reveal that the impact of nation brand value on economic growth is significantly more substantial for lower-income economies than for higher-income economies. Our study is one of a few attempts to clarify the effect of nation brand value on a nation's economic growth. The outcome of this research provides more understanding for exploiting the nation brand development concept to create a superior competitive advantage, consequently leading to the prosperity of nation economies. Doi: 10.28991/HIJ-2023-04-04-08 Full Text: PD
Exploring Anti-Ballistic Technology Development through Bibliometric Analysis of Scopus Database Records
Get PDFAnti-ballistics technology's significance in safeguarding national defense and security has intensified amid rising threats and insurgencies. While prior studies have investigated advancements in anti-ballistic technologies, a noticeable gap persists in discussions involving anti-ballistics through bibliometric analysis and cutting-edge evaluations. This scarcity of research originates from the sensitivity surrounding weapon-related discourse. This article aims to bridge this gap by unveiling an exhaustive bibliometric analysis and contemporary assessment of anti-ballistics research spanning 47 years. The analysis's distinctiveness lies in its approach to addressing this research void within the anti-ballistics domain, achieved through meticulous scrutiny of existing research via bibliometric analysis techniques. The analysis was facilitated by employing Biblioshiny software integrated with RStudio and VOSviewer. Data processing encompassed keyword searches within the Scopus database, with outcomes presented in CSV format. Notably, the study's findings highlight the United States as the frontrunner in reference count and publication output within the anti-ballistics realm. The National Institute of Standards and Technology stands out with 89 articles. Furthermore, a systematic categorization of anti-ballistic materials based on their developmental applications was conducted. Temporal assessment revealed shifting research trends, transitioning from "ceramic materials" in 2016 to "nonmetallic matrix composites" in 2020, particularly for body armor applications. This endeavor involves recognizing notable contributors, categorizing diverse materials under study, and tracking research trend shifts over time. The analysis offers indispensable insights to guide diverse stakeholders' decision-making. It's noteworthy that this bibliometric analysis holds particular value for novices or those entering the field for the first time. Our study significantly enriches the anti-ballistics domain through contributions to library studies and research mapping. By presenting a comprehensive overview of anti-ballistics research trends, our analysis enhances comprehension and empowers informed decision-making for researchers, practitioners, and policymakers alike. Doi: 10.28991/HIJ-2023-04-03-015 Full Text: PD
Factors Shaping Thai Millennials' Low-Carbon Behavior: Insights from Extended Theory of Planned Behavior
Get PDFObjective: This research serves a dual purpose: To construct a predictive model for low-carbon behavior among Thai millennials and to analyze the interplay between socio-demographic variables and eco-conscious actions. Methods/Analysis: By employing PLS-SEM and surveying 150 Thai millennials through purposive sampling, this study reaffirms the influence of persuasive technology and incentives on low-carbon behaviors. It highlights the significance of perceived behavioral control within the TPB framework and reveals intricate pathways by which persuasive technology and incentives shape attitudes, perceived control, and social norms, thereby driving eco-friendly actions. Findings: Among Thai millennials, positive attitudes and perceived control drive low-carbon behavior, while social norms and accessible low-carbon infrastructure also impact eco-conscious actions. Persuasive technology shows promise for attitude adjustment, but incentives' relationship with low-carbon behavior is complex. Interestingly, mature women exhibit more low-carbon behavior, whereas education and income show an inverse relationship. Novelty/Improvement: This study contributes novel and substantial insights into the drivers of low-carbon behavior among Thai millennials by integrating diverse theoretical frameworks. It enriches our understanding of the mediating role of TPB factors and socio-demographic dimensions, offering invaluable guidance for stakeholders in crafting effective interventions while aligning seamlessly with Sustainable Development Goals 7, 9, 12, and 13. Doi: 10.28991/HIJ-2023-04-03-02 Full Text: PD
Color Analysis of Cloud Brocade Pattern by Image Style Transfer
Get PDFWith the continuous improvement of the level of science and technology, the design method of cloud brocade pattern has gradually changed from the traditional process of color halo, white, and gold stranding to the modern design process, such as the synthesis of cloud brocade line pattern based on the transfer of image style. But back to reality, this method still has problems such as blurred outline and mixed colors, which is not conducive to the transfer of cloud brocade style pictures. Based on this, the paper will use the cloud brocade pattern style transfer color optimization model to analyze the color of the cloud brocade pattern in order to get a better cloud brocade style effect map. The results show that the average similarity of the local migration algorithm is 0.348, while the average similarity of the local migration algorithm based on color optimization is 0.378, which is 8.62% higher than that of the local migration algorithm. After 1600 iterations, the average running time of the local migration algorithm is 13.65s, and the running time of the local migration algorithm for color optimization is 12.46s. It can be seen that the local migration algorithm based on color optimization has obvious advantages in both comprehensive similarity and running time and can provide new ideas and references for the current design of Yunjin pictures. Doi: 10.28991/HIJ-2023-04-04-07 Full Text: PD
The Factors Affecting Innovative Behavior: An Employee Assessment System Based on Knowledge Creation
Get PDFOrganizations thrive on the innovative behavior of their personnel, but the specific factors that influence such behavior are not widely established, especially in the Thai context. An examination of the literature reveals that the knowledge management (KM) process, which has its basis in the process of knowledge creation known as the SECI process, serves to promote innovative behavior and is a key driver of competitive advantage within innovative organizations. This research study sought to determine which factors account for success in innovation, and to establish an assessment system to evaluate employee innovation. The study sample comprised 500 employees from companies operating in the technology sector. Confirmatory factor analysis (CFA) was carried out, and an eight-factor model was formulated on the basis of the available data. The eight factors in the model were determined to have a significant influence on the success of innovative behavior observed in Thai companies. The relevant factors comprised Sharing of knowledge (SK), Self-efficacy (SE), Problem solving skills (PS), Collaboration ability (CA), Culture of innovation (CI), Organizational support (OS), Culture of learning (CL), and Executive leadership (EL). Within the organizational context, the findings reveal the statistically significant contribution of Sharing of knowledge, Culture of innovation, Organizational support, and Self-efficacy in the promotion of innovative behavior. The study results may prove helpful for organizations wishing to assess the innovative capabilities of their staff, while the success factors may be implemented within organizations through the practical application of an assessment system. Also, by filling a research gap in the literature review, this work will be beneficial to academics and researchers in order to better promote innovative behavior. Doi: 10.28991/HIJ-2023-04-01-012 Full Text: PD
Recommendation Model for Learning Material Using the Felder Silverman Learning Style Approach
Get PDFThe biggest obstacle that students have when participating in a virtual learning environment (e-learning) is discovering a platform that has functionalities that can be customized to fit their needs. This is usually accomplished in several ways using educational resources such as learning materials and virtual classroom design elements. Our research has tried to meet this demand by suggesting an extra element in the virtual classroom design, i.e., classifying the students' learning styles through machine-learning techniques based on information gathered from questionnaires. This feature allows teachers or instructors to modify their lesson plans to better suit the learning preferences of their students. Additionally, this feature aids in the creation of a learning path that serves as a guide for students as they choose their course materials. In this study, we have selected the Felder-Silverman Learning Style Model (FSLSM) in the questionnaire design, which focuses on identifying the students' learning styles. After that, we employ several machine learning algorithms to create a prediction model for the students' learning styles. The algorithms include Decision Tree, Support Vector Machines, K-Nearest Neighbors, Naí¯ve Bayes, Linear Discriminant Analysis, Random Forest, and Logistic Regression. The best prediction model from this exercise contributes to the recommendation model that was created using a collaborative filtering algorithm. We have carried out a pre-test and post-test method to evaluate our suggestions. There were 138 learners who were following a learning path and participated in this study. The findings of the pretest and post-test indicated a notable increase in students' motivation to study. This is confirmed by the fact that learners' satisfaction with online learning climbed to 87% when the learning style was considered, from 60% when it wasn't. Doi: 10.28991/HIJ-2023-04-04-010 Full Text: PD
AHP Approach for Determining Category in Social Media Content Creation in Order to Maximize Revenue per Mille (RPM)
Get PDFThis study utilizes the Analytic Hierarchy Process (AHP) in the selection of an optimal niche or category of videos for maximizing view count. The main income from videos is derived from RPM, which is a set amount per thousand views. A set of criteria was determined from attributes in the dataset that logically contribute to either the videos' SEO or trend/popularity. The criteria in question were also determined by commonalities across a vast number of video content platforms, which focus more on the essential attributes of a video. In order to perform pairwise comparison, weights were derived from coefficients generated using Linear Regression. Following the creation of the model, we identify the categories with the highest potential for gaining views. Based on the results, the study may be performed in another time frame to reflect the major shifts in public interest over time. Thus, the importance of its repeatability and degree of usability across datasets from different platforms is emphasized. Doi: 10.28991/HIJ-2022-03-01-07 Full Text: PD
Dendrogram Analysis and Statistical Examination for Total Microbiological Mesophilic Aerobic Count of Municipal Water Distribution Network System
Get PDFThe microbiological quality of water for human consumption is a critical safety aspect that should not be overlooked, especially when considering facilities for healthcare and the treatment of ill populations. Thus, the biological stability of water is crucial for the distribution network that delivers potable water to the final users for consumption and other human activities. The present work aimed to study a municipal distribution network system for city water within a healthcare facility. The implementation of the statistical analysis was conducted over long-term data collection, and the comparative study for the microbiological count of the water samples - from different points-of-use was assessed using the non-parametric analysis of the Kruskal-Wallis test. The comparative study involved a preliminary general one-way Analysis of Variance (ANOVA) followed by ad-hoc pairwise comparison. The statistical study involved a correlation matrix and a dendrogram to elucidate the level of association between different sections in the network. The ports C4 and C13 were at the trough in the microbiological count, in contrast to C13, which showed the highest level of the average microbial density. Despite a low to moderate level of correlation between the datasets of the water network, the tree diagram (dendrogram) analysis showed remarkable clustering. Use points could be grouped into three dense groups based on abrupt cuts in the similarity value. The study was useful in the analysis of the pattern and behavior of the microbial quality in a distribution water network in a specific area of the study. This work in turn would help in investigating the areas of improvement and defect spotting, in addition to assessing the biological stability of the water distribution system. The study could be extended to cover other different processed water networks, such as distilled, deionized, and purified water, as well as Water-For-Injection (WFI). Doi: 10.28991/HIJ-2022-03-01-03 Full Text: PD