Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-09
A. C. Kumoro, D. H. Wardhani, T. Kusworo, M. Djaeni, T. Ping, M. Alhanif
Spray drying is one of the most preferred preservation methods that converts an aqueous feed containing solvent, carrier agent, and food compounds into dry powder with superb physicochemical and functional properties. This paper reviews the fundamental and important operating parameters, product characteristics, current and potential applications, and techno-economic aspects of spray drying. The key operating parameters should be chosen to achieve the highest spray drying performance in terms of operational efficiency and product quality. A successful spray drying operation is greatly dependent on the feed material properties, the mechanical design of the equipment, and selected operating parameters. This paper also found that water content, water activity, and glass transition temperature are the main parameters that really determine product quality in terms of shelf life and storage conditions of food powder obtained from the spray drying process. Recent advances in the development of new heatless spray drying technology in the manufacture of food flavoring and nutraceuticals are interesting to develop, in addition to the potential to produce nano-sized powders with distinctive properties and the use of superheated steam and carbon dioxide to sterilize products. The appropriate information on spray drying technology featured in this paper is targeted to reinforce researcher and practitioner understanding for widening its applications in pertinent food industries. Doi: 10.28991/HEF-2024-05-02-09 Full Text: PDF
{"title":"A Brief Overview of Spray Drying Technology and Its Potential in Food Applications","authors":"A. C. Kumoro, D. H. Wardhani, T. Kusworo, M. Djaeni, T. Ping, M. Alhanif","doi":"10.28991/hef-2024-05-02-09","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-09","url":null,"abstract":"Spray drying is one of the most preferred preservation methods that converts an aqueous feed containing solvent, carrier agent, and food compounds into dry powder with superb physicochemical and functional properties. This paper reviews the fundamental and important operating parameters, product characteristics, current and potential applications, and techno-economic aspects of spray drying. The key operating parameters should be chosen to achieve the highest spray drying performance in terms of operational efficiency and product quality. A successful spray drying operation is greatly dependent on the feed material properties, the mechanical design of the equipment, and selected operating parameters. This paper also found that water content, water activity, and glass transition temperature are the main parameters that really determine product quality in terms of shelf life and storage conditions of food powder obtained from the spray drying process. Recent advances in the development of new heatless spray drying technology in the manufacture of food flavoring and nutraceuticals are interesting to develop, in addition to the potential to produce nano-sized powders with distinctive properties and the use of superheated steam and carbon dioxide to sterilize products. The appropriate information on spray drying technology featured in this paper is targeted to reinforce researcher and practitioner understanding for widening its applications in pertinent food industries. Doi: 10.28991/HEF-2024-05-02-09 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"47 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-03
Boyang Qi, Xinlin Qi, Shubham Pathak
This paper combines the means-end chain theory with the aim of clarifying the roles of service quality (SQ), perceived value (PV), and customer satisfaction (CS) on behavioral intention (BI). This research follows quantitative methodology, obtained 414, and these data were analyzed and hypotheses tested. SPSS 26.0 and Mplus 8.3 software were used for model fit and structural equation correlation analysis. The results show that SQ has a significant direct positive effect on PV, CS, and BI. PV has a significant direct positive effect on CS and BI. CS has a significant, direct positive effect on BI. In addition, BI is influenced by SQ indirectly through PV or CS. PV and CS act as dual mediator variables in the effect of SQ on BI. This paper is the first attempt to explore the important role of internet celebrity (IC) bed and breakfast (B&B) SQ in influencing BI from the perspective of the IC B&B, and explored the complex relationship between PV, CS as dual mediator variables, provides an in-depth understanding of the key influences on BI for IC B&B customers, and expands the original theoretical framework, filling a gap in the existing literature. Doi: 10.28991/HEF-2024-05-02-03 Full Text: PDF
本文结合手段-终端链理论，旨在阐明服务质量（SQ）、感知价值（PV）和顾客满意度（CS）对行为意向（BI）的作用。本研究采用定量方法，获得了 414 个数据，并对这些数据进行了分析和假设检验。使用 SPSS 26.0 和 Mplus 8.3 软件进行模型拟合和结构方程相关分析。结果表明，SQ 对 PV、CS 和 BI 有显著的直接正向影响。PV 对 CS 和 BI 有显著的直接正向影响。CS 对 BI 有明显的直接正向影响。此外，SQ 还通过 PV 或 CS 间接影响 BI。在 SQ 对 BI 的影响中，PV 和 CS 起着双重中介变量的作用。本文首次尝试从网络名人（IC）民宿（B&B）的角度探讨SQ在影响BI中的重要作用，探究了PV、CS作为双重中介变量之间的复杂关系，深入理解了IC民宿顾客BI的关键影响因素，拓展了原有的理论框架，填补了现有文献的空白。Doi: 10.28991/HEF-2024-05-02-03 Full Text：PDF
{"title":"The Effect of Internet Celebrity B&B Service Quality on Customers' Behavioral Intention","authors":"Boyang Qi, Xinlin Qi, Shubham Pathak","doi":"10.28991/hef-2024-05-02-03","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-03","url":null,"abstract":"This paper combines the means-end chain theory with the aim of clarifying the roles of service quality (SQ), perceived value (PV), and customer satisfaction (CS) on behavioral intention (BI). This research follows quantitative methodology, obtained 414, and these data were analyzed and hypotheses tested. SPSS 26.0 and Mplus 8.3 software were used for model fit and structural equation correlation analysis. The results show that SQ has a significant direct positive effect on PV, CS, and BI. PV has a significant direct positive effect on CS and BI. CS has a significant, direct positive effect on BI. In addition, BI is influenced by SQ indirectly through PV or CS. PV and CS act as dual mediator variables in the effect of SQ on BI. This paper is the first attempt to explore the important role of internet celebrity (IC) bed and breakfast (B&B) SQ in influencing BI from the perspective of the IC B&B, and explored the complex relationship between PV, CS as dual mediator variables, provides an in-depth understanding of the key influences on BI for IC B&B customers, and expands the original theoretical framework, filling a gap in the existing literature. Doi: 10.28991/HEF-2024-05-02-03 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"51 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141277459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-02
Sofiyanti Indriasari, Dana I. Sensuse, Y. Resti, M. Wurzinger, D. S. Hidayat, Bayu Widodo
This research aims to investigate aspects of knowledge management in smallholder dairy farming, focusing on four primary objectives: understanding the existing knowledge management processes, identifying the necessary knowledge for management, exploring the dominant knowledge management processes and the factors influencing them, and assessing the use of technology in supporting the knowledge management system. Through a qualitative and quantitative approach, this study successfully identified various needs that will aid in developing a knowledge management system. The research results show that the knowledge management process in small-scale dairy farming involves farmers, cooperatives, extension services, and industry. Farmers in livestock management undertake a holistic knowledge management process. Cooperatives augment this by creating guidebooks from best practices, holding training meetings, distributing informational materials, overseeing milk quality standards, and enhancing skills. Extension workers bridge theoretical knowledge with practical application. The industry plays a crucial role by offering comprehensive training, monitoring standards, and supporting farmers' professional development. The findings indicate that knowledge sharing is the dominant process, involving knowledge related to livestock care, reproduction, milk transactions, animal health, and farmer finance. The key factors influencing this process are People, Technology, and Organization. The results provide a solid foundation for further developing a more technical knowledge management system for smallholder dairy farmers, offering new insights into effective processes and technologies for knowledge management in this field. Doi: 10.28991/HEF-2024-05-02-02 Full Text: PDF
{"title":"Requirements Engineering of Knowledge Management System for Smallholder Dairy Farmers","authors":"Sofiyanti Indriasari, Dana I. Sensuse, Y. Resti, M. Wurzinger, D. S. Hidayat, Bayu Widodo","doi":"10.28991/hef-2024-05-02-02","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-02","url":null,"abstract":"This research aims to investigate aspects of knowledge management in smallholder dairy farming, focusing on four primary objectives: understanding the existing knowledge management processes, identifying the necessary knowledge for management, exploring the dominant knowledge management processes and the factors influencing them, and assessing the use of technology in supporting the knowledge management system. Through a qualitative and quantitative approach, this study successfully identified various needs that will aid in developing a knowledge management system. The research results show that the knowledge management process in small-scale dairy farming involves farmers, cooperatives, extension services, and industry. Farmers in livestock management undertake a holistic knowledge management process. Cooperatives augment this by creating guidebooks from best practices, holding training meetings, distributing informational materials, overseeing milk quality standards, and enhancing skills. Extension workers bridge theoretical knowledge with practical application. The industry plays a crucial role by offering comprehensive training, monitoring standards, and supporting farmers' professional development. The findings indicate that knowledge sharing is the dominant process, involving knowledge related to livestock care, reproduction, milk transactions, animal health, and farmer finance. The key factors influencing this process are People, Technology, and Organization. The results provide a solid foundation for further developing a more technical knowledge management system for smallholder dairy farmers, offering new insights into effective processes and technologies for knowledge management in this field. Doi: 10.28991/HEF-2024-05-02-02 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"23 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-05
K. Jaroensutasinee, M. Jaroensutasinee, Piyatida Boonsanong, Elena Sparrow
Mangosteen (Garcinia mangostana L.) generates over 88 billion USD in export revenue to Thailand annually but is restrained due to fruit defects. This study aimed to determine whether smart irrigation with sensors, IoT, and real-time data collection for regulating stable soil water content affects mangosteen fruit quantity and quality. Climate, soil, and mangosteen parameters were compared between irrigated and non-irrigated productions. Flowering and fruit yield data were collected from twenty randomly selected mangosteen trees per irrigation treatment. The results showed that air and soil temperatures were lower, but relative humidity and soil moisture on mangosteen production were greater in irrigated trees than in non-irrigated trees. Irrigated and non-irrigated mangosteen trees showed no significant difference in trunk diameter or crown size. Irrigation boosted mangosteen yields with increased flowers, fruits, and weight but thinner peels, fewer pulp segments, and a higher vulnerability to fruit imperfections. The mean fruit circumference did not differ significantly between non-irrigated and irrigated mangosteen production systems. Mangosteen fruits in irrigated production had fewer fruit defects than those in non-irrigated production. Regulated irrigated mangosteen production with stable soil moisture using soil moisture sensors and IoT produced high-quantity and quality mangosteens with fewer fruit defects. Doi: 10.28991/HEF-2024-05-02-05 Full Text: PDF
{"title":"Mangosteen Yield and Fruit Quality under Regulated Irrigation with Sensors and IoT","authors":"K. Jaroensutasinee, M. Jaroensutasinee, Piyatida Boonsanong, Elena Sparrow","doi":"10.28991/hef-2024-05-02-05","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-05","url":null,"abstract":"Mangosteen (Garcinia mangostana L.) generates over 88 billion USD in export revenue to Thailand annually but is restrained due to fruit defects. This study aimed to determine whether smart irrigation with sensors, IoT, and real-time data collection for regulating stable soil water content affects mangosteen fruit quantity and quality. Climate, soil, and mangosteen parameters were compared between irrigated and non-irrigated productions. Flowering and fruit yield data were collected from twenty randomly selected mangosteen trees per irrigation treatment. The results showed that air and soil temperatures were lower, but relative humidity and soil moisture on mangosteen production were greater in irrigated trees than in non-irrigated trees. Irrigated and non-irrigated mangosteen trees showed no significant difference in trunk diameter or crown size. Irrigation boosted mangosteen yields with increased flowers, fruits, and weight but thinner peels, fewer pulp segments, and a higher vulnerability to fruit imperfections. The mean fruit circumference did not differ significantly between non-irrigated and irrigated mangosteen production systems. Mangosteen fruits in irrigated production had fewer fruit defects than those in non-irrigated production. Regulated irrigated mangosteen production with stable soil moisture using soil moisture sensors and IoT produced high-quantity and quality mangosteens with fewer fruit defects. Doi: 10.28991/HEF-2024-05-02-05 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-08
Stela Jorgji, J. Teta, Saeed Mousa, Vadim Ponkratov, Izabella Elyakova, Larisa Vatutina, Andrey Pozdnyaev, Tatiana Chernysheva, Elena V. Romanenko, Mikhail E. Kosov
This study investigates the relationships between sustainable human capital management practices, ESG performance, ESG disclosure, and firm financial performance. Using a sample of 387 S&P 500 firms from 2013 to 2023 and a panel data regression approach, we examine the impact of training expenditure, workforce diversity and inclusion, pay equity, and employee benefits on ESG performance. We also explore the association between ESG performance and ESG disclosure, the effect of ESG performance on financial performance, and the moderating role of ESG disclosure in the ESG-financial performance relationship. Our findings reveal that sustainable human capital management practices have a positive and significant impact on ESG performance, which in turn positively influences firm financial performance. We also find a positive relationship between ESG performance and ESG disclosure, and that ESG disclosure moderates the ESG-financial performance link, with the positive association being stronger for firms with higher levels of ESG disclosure. This study contributes to the literature by offering an integrated approach to examine the relationships between sustainable human capital management, ESG performance, ESG disclosure, and financial performance, providing novel insights into the drivers and outcomes of corporate sustainability in the context of human capital management. Doi: 10.28991/HEF-2024-05-02-08 Full Text: PDF
{"title":"Sustainable Human Capital Management, ESG, and Firm Performance: Moderating Role of ESG Disclosure","authors":"Stela Jorgji, J. Teta, Saeed Mousa, Vadim Ponkratov, Izabella Elyakova, Larisa Vatutina, Andrey Pozdnyaev, Tatiana Chernysheva, Elena V. Romanenko, Mikhail E. Kosov","doi":"10.28991/hef-2024-05-02-08","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-08","url":null,"abstract":"This study investigates the relationships between sustainable human capital management practices, ESG performance, ESG disclosure, and firm financial performance. Using a sample of 387 S&P 500 firms from 2013 to 2023 and a panel data regression approach, we examine the impact of training expenditure, workforce diversity and inclusion, pay equity, and employee benefits on ESG performance. We also explore the association between ESG performance and ESG disclosure, the effect of ESG performance on financial performance, and the moderating role of ESG disclosure in the ESG-financial performance relationship. Our findings reveal that sustainable human capital management practices have a positive and significant impact on ESG performance, which in turn positively influences firm financial performance. We also find a positive relationship between ESG performance and ESG disclosure, and that ESG disclosure moderates the ESG-financial performance link, with the positive association being stronger for firms with higher levels of ESG disclosure. This study contributes to the literature by offering an integrated approach to examine the relationships between sustainable human capital management, ESG performance, ESG disclosure, and financial performance, providing novel insights into the drivers and outcomes of corporate sustainability in the context of human capital management. Doi: 10.28991/HEF-2024-05-02-08 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"8 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-01
Tran Anh Tuan, Nguyen Huu Nghia, Tran Dai An, Dao Thi Thanh Loan
Objectives: This study aims to comprehensively explore trends, sentiments, and visualization of mental stress expressions in online communities, focusing on discussions within subreddits on the social media platform Reddit. Methods/Analysis: Advanced text analysis and statistical techniques are employed to achieve the study’s objectives. The research utilizes natural language processing (NLP) methods, sentiment analysis, and topic modeling to unravel the intricate layers of mental stress expressions found in posts across diverse subreddits. Additionally, engagement metrics, such as Redditors’ scores and the number of comments, are analyzed to discern distinctive information and patterns of interest. Findings: The research sheds light on prevalent trends, sentiments, and themes related to mental stress in online conversations before and after January 2020. The findings provide valuable insights into patterns of exciting topics, shared experiences of stress, coping mechanisms, and the significant role of virtual communities in offering support and understanding. Novelty/Improvement: The novelty lies in applying advanced text analysis techniques, including sentiment analysis with the majority voting method combining different machine learning techniques and topic modeling with semantic networks, to gain a deeper understanding of the dynamics of mental stress expressions in online communities. The research explores current patterns and distinguishes itself by examining temporal variations in stress-related posts and their correlation with engagement metrics, offering an innovative perspective on mental health discussions in the digital age. Doi: 10.28991/HEF-2024-05-02-01 Full Text: PDF
{"title":"Exploring Mental Stress Expressions in Online Communities: A Subreddit Analysis","authors":"Tran Anh Tuan, Nguyen Huu Nghia, Tran Dai An, Dao Thi Thanh Loan","doi":"10.28991/hef-2024-05-02-01","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-01","url":null,"abstract":"Objectives: This study aims to comprehensively explore trends, sentiments, and visualization of mental stress expressions in online communities, focusing on discussions within subreddits on the social media platform Reddit. Methods/Analysis: Advanced text analysis and statistical techniques are employed to achieve the study’s objectives. The research utilizes natural language processing (NLP) methods, sentiment analysis, and topic modeling to unravel the intricate layers of mental stress expressions found in posts across diverse subreddits. Additionally, engagement metrics, such as Redditors’ scores and the number of comments, are analyzed to discern distinctive information and patterns of interest. Findings: The research sheds light on prevalent trends, sentiments, and themes related to mental stress in online conversations before and after January 2020. The findings provide valuable insights into patterns of exciting topics, shared experiences of stress, coping mechanisms, and the significant role of virtual communities in offering support and understanding. Novelty/Improvement: The novelty lies in applying advanced text analysis techniques, including sentiment analysis with the majority voting method combining different machine learning techniques and topic modeling with semantic networks, to gain a deeper understanding of the dynamics of mental stress expressions in online communities. The research explores current patterns and distinguishes itself by examining temporal variations in stress-related posts and their correlation with engagement metrics, offering an innovative perspective on mental health discussions in the digital age. Doi: 10.28991/HEF-2024-05-02-01 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"48 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141231430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-06
W. Utama, R. F. Indriani, Maman Hermana, I. M. Anjasmara, S. A. Garini, D. P. N. Putra
The management and monitoring of land use in geothermal fields are crucial for the sustainable utilization of water resources, as well as for striking a balance between the production of renewable energy and the preservation of the environment. This study primarily compared Support Vector Machine (SVM) and Random Forest (RF) machine learning methods, using satellite imagery from Landsat 8 and Sentinel 2 between 2021 and 2023, to monitor land use in the Patuha geothermal area. The objective is to improve sustainable water management practices by accurately categorizing different land cover types. This comparative analysis assessed the efficacy of these techniques in upholding water sustainability in geothermal regions. This study examined the application of SVM and RF machine learning techniques, with particular emphasis on parameter refinement and model assessment, to enhance land use classification accuracy. By employing Kernlab and e1071 for algorithm comparison, the research sought to produce a precise Land Use Model Map, which underscores the significance of advanced analytical techniques in environmental management. This approach was of utmost importance in improving land use monitoring and reinforcing sustainable practices. The comparative evaluation of SVM and RF methods for land use classification demonstrates the superiority of RF in terms of accuracy, stability, and precision, particularly in intricate urban settings, hence establishing it as the preferred model for tasks demanding high reliability. The application of SVM and RF for monitoring land use in geothermal areas is in alignment with Sustainable Development Goals (SDGs) 6 and 15, as it fosters sustainable water management and the conservation of ecosystems. Doi: 10.28991/HEF-2024-05-02-06 Full Text: PDF
{"title":"Towards Improving Sustainable Water Management in Geothermal Fields: SVM and RF Land Use Monitoring","authors":"W. Utama, R. F. Indriani, Maman Hermana, I. M. Anjasmara, S. A. Garini, D. P. N. Putra","doi":"10.28991/hef-2024-05-02-06","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-06","url":null,"abstract":"The management and monitoring of land use in geothermal fields are crucial for the sustainable utilization of water resources, as well as for striking a balance between the production of renewable energy and the preservation of the environment. This study primarily compared Support Vector Machine (SVM) and Random Forest (RF) machine learning methods, using satellite imagery from Landsat 8 and Sentinel 2 between 2021 and 2023, to monitor land use in the Patuha geothermal area. The objective is to improve sustainable water management practices by accurately categorizing different land cover types. This comparative analysis assessed the efficacy of these techniques in upholding water sustainability in geothermal regions. This study examined the application of SVM and RF machine learning techniques, with particular emphasis on parameter refinement and model assessment, to enhance land use classification accuracy. By employing Kernlab and e1071 for algorithm comparison, the research sought to produce a precise Land Use Model Map, which underscores the significance of advanced analytical techniques in environmental management. This approach was of utmost importance in improving land use monitoring and reinforcing sustainable practices. The comparative evaluation of SVM and RF methods for land use classification demonstrates the superiority of RF in terms of accuracy, stability, and precision, particularly in intricate urban settings, hence establishing it as the preferred model for tasks demanding high reliability. The application of SVM and RF for monitoring land use in geothermal areas is in alignment with Sustainable Development Goals (SDGs) 6 and 15, as it fosters sustainable water management and the conservation of ecosystems. Doi: 10.28991/HEF-2024-05-02-06 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"10 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.28991/hef-2024-05-02-07
Da-Wei Wu, H. Batool, Shi-Zheng Huang
Cultural authenticity is the core resource of ethnic tourism destinations, and tourists' perceptions of cultural authenticity affect their sense of authentic happiness. Based on cognitive appraisal theory, a research model of perceptions of cultural authenticity and authentic happiness was constructed to explore the relationships among perceptions of cultural authenticity, place attachment, and authentic happiness and to verify the moderating effect of perceived safety. Through a questionnaire survey, 408 valid questionnaires from tourists were collected from ethnic villages in border areas of China, and the bootstrap method and parameter estimation method were used to test the hypotheses. The results show that cultural authenticity perception positively affects authentic happiness and place attachment; place attachment has a direct positive correlation with authentic happiness; place attachment has a partial mediating effect on the perception of cultural authenticity and authentic happiness; and perceived safety has a moderating effect on place attachment and authentic happiness. Attaching importance to the excavation and protection of the cultural authenticity of frontier ethnic villages and enhancing tourists’ perceptions of the cultural authenticity of frontier ethnic villages are conducive to promoting their place attachment to frontier ethnic villages and, at the same time, can enhance tourists’ sense of authentic happiness. Doi: 10.28991/HEF-2024-05-02-07 Full Text: PDF
文化真实性是民族旅游目的地的核心资源，游客的文化真实性感知会影响其真实幸福感。基于认知评价理论，构建了文化真实性感知与真实幸福感的研究模型，探讨了文化真实性感知、地方依恋和真实幸福感之间的关系，并验证了感知安全的调节作用。通过问卷调查，在中国边疆民族村寨收集了 408 份游客有效问卷，并采用引导法和参数估计法对假设进行了检验。结果表明，文化真实性感知对真实幸福感和地方依恋有正向影响；地方依恋与真实幸福感有直接的正相关关系；地方依恋对文化真实性感知和真实幸福感有部分中介作用；安全感对地方依恋和真实幸福感有调节作用。重视边疆民族村寨文化原真性的挖掘和保护，增强游客对边疆民族村寨文化原真性的感知，有利于促进游客对边疆民族村寨的场所依恋，同时也能增强游客的真实幸福感。Doi: 10.28991/HEF-2024-05-02-07 Full Text：PDF
{"title":"The Relationships Between Tourists' Perceptions of Cultural Authenticity and Authentic Happiness: Evidence from Ethnic Villages","authors":"Da-Wei Wu, H. Batool, Shi-Zheng Huang","doi":"10.28991/hef-2024-05-02-07","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-07","url":null,"abstract":"Cultural authenticity is the core resource of ethnic tourism destinations, and tourists' perceptions of cultural authenticity affect their sense of authentic happiness. Based on cognitive appraisal theory, a research model of perceptions of cultural authenticity and authentic happiness was constructed to explore the relationships among perceptions of cultural authenticity, place attachment, and authentic happiness and to verify the moderating effect of perceived safety. Through a questionnaire survey, 408 valid questionnaires from tourists were collected from ethnic villages in border areas of China, and the bootstrap method and parameter estimation method were used to test the hypotheses. The results show that cultural authenticity perception positively affects authentic happiness and place attachment; place attachment has a direct positive correlation with authentic happiness; place attachment has a partial mediating effect on the perception of cultural authenticity and authentic happiness; and perceived safety has a moderating effect on place attachment and authentic happiness. Attaching importance to the excavation and protection of the cultural authenticity of frontier ethnic villages and enhancing tourists’ perceptions of the cultural authenticity of frontier ethnic villages are conducive to promoting their place attachment to frontier ethnic villages and, at the same time, can enhance tourists’ sense of authentic happiness. Doi: 10.28991/HEF-2024-05-02-07 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"3 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main objective of this study was to inform evidence-based financial strategies and policy directions for Uzbekistan’s ambitious greenhouse agriculture expansion by quantifying how integration with agricultural data platforms affects key operational metrics like crop productivity, expenditures, profitability, and technical efficiency. The core methodological approach integrated econometric modeling techniques (production, cost, and profit functions) with data envelopment analysis to conduct comprehensive techno-economic assessments across a representative sample of 58 greenhouse facilities using primary data collected on yields, costs, technology deployment levels, and digital platform accessibility. A key finding was that involvement in digital supply chain coordination platforms corresponded to a 36% increase in profitability, coupled with a 19% reduction in expenses, a 29% improvement in crop yields, and a 22% boost in optimized technical efficiency scores relative to conventional practices after controlling for technology adoption and other factors. This novel contribution provides quantifiable evidence on the synergistic productivity, financial sustainability, and climate resilience dividends unlocked by aligning physical infrastructure upgrades with virtual enhancements around data visibility and supply network integration to overcome constraints facing smallholder agricultural operations. The interdisciplinary analysis outlines an integrated roadmap for smart greenhouse expansion through investments in transparency tools, digital ecosystems, and workforce training. Doi: 10.28991/HEF-2024-05-02-04 Full Text: PDF
{"title":"Effective Economic Model for Greenhouse Facilities Management and Digitalization","authors":"Akmal Durmanov, Tulkin Farmanov, Fotima Nazarova, Bahtiyar Khasanov, Farkhod Karakulov, Nodira Saidaxmedova, Murodjon Mamatkulov, Talantbek Madumarov, Khurshida Kurbanova, Abror Mamasadikov, Zahiriddin Kholmatov","doi":"10.28991/hef-2024-05-02-04","DOIUrl":"https://doi.org/10.28991/hef-2024-05-02-04","url":null,"abstract":"The main objective of this study was to inform evidence-based financial strategies and policy directions for Uzbekistan’s ambitious greenhouse agriculture expansion by quantifying how integration with agricultural data platforms affects key operational metrics like crop productivity, expenditures, profitability, and technical efficiency. The core methodological approach integrated econometric modeling techniques (production, cost, and profit functions) with data envelopment analysis to conduct comprehensive techno-economic assessments across a representative sample of 58 greenhouse facilities using primary data collected on yields, costs, technology deployment levels, and digital platform accessibility. A key finding was that involvement in digital supply chain coordination platforms corresponded to a 36% increase in profitability, coupled with a 19% reduction in expenses, a 29% improvement in crop yields, and a 22% boost in optimized technical efficiency scores relative to conventional practices after controlling for technology adoption and other factors. This novel contribution provides quantifiable evidence on the synergistic productivity, financial sustainability, and climate resilience dividends unlocked by aligning physical infrastructure upgrades with virtual enhancements around data visibility and supply network integration to overcome constraints facing smallholder agricultural operations. The interdisciplinary analysis outlines an integrated roadmap for smart greenhouse expansion through investments in transparency tools, digital ecosystems, and workforce training. Doi: 10.28991/HEF-2024-05-02-04 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"9 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141228921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.28991/hef-2023-04-02-04
Thadathibesra Phuthong
This study aimed to examine the determinants of knowledge sharing behavior on a short-video social commerce platform by integrating the framework of OCEAN Traits and knowledge sharing behavior. A questionnaire-type survey was used, and responses from 200 TikTok short-form video platform users were analyzed against the research model, and the hypotheses were tested by employing partial least squares structural equation modeling. The findings reveal that Extraversion and Neuroticism traits were significant determinants of knowledge sharing behavior, whereas Openness to Experience, Conscientiousness, and Agreeableness traits failed to predict knowledge sharing behavior through short videos on the social commerce platform. The findings present several implications for researchers in the extraversion and neuroticism traits as key determinants of knowledge sharing behavior in the short-video social commerce platform context. The results will be beneficial to online business operators and their stakeholders who use short-video social commerce platforms to implement business strategies that promote buying decisions for products and services. Doi: 10.28991/HEF-2023-04-02-04 Full Text: PDF
{"title":"OCEAN Traits as Key Determinants of Knowledge Sharing Behaviour through Short-video Social Commerce Platforms","authors":"Thadathibesra Phuthong","doi":"10.28991/hef-2023-04-02-04","DOIUrl":"https://doi.org/10.28991/hef-2023-04-02-04","url":null,"abstract":"This study aimed to examine the determinants of knowledge sharing behavior on a short-video social commerce platform by integrating the framework of OCEAN Traits and knowledge sharing behavior. A questionnaire-type survey was used, and responses from 200 TikTok short-form video platform users were analyzed against the research model, and the hypotheses were tested by employing partial least squares structural equation modeling. The findings reveal that Extraversion and Neuroticism traits were significant determinants of knowledge sharing behavior, whereas Openness to Experience, Conscientiousness, and Agreeableness traits failed to predict knowledge sharing behavior through short videos on the social commerce platform. The findings present several implications for researchers in the extraversion and neuroticism traits as key determinants of knowledge sharing behavior in the short-video social commerce platform context. The results will be beneficial to online business operators and their stakeholders who use short-video social commerce platforms to implement business strategies that promote buying decisions for products and services. Doi: 10.28991/HEF-2023-04-02-04 Full Text: PDF","PeriodicalId":500209,"journal":{"name":"Journal of Human, Earth, and Future","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135194898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：