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- MakaleAçık Erişim2026Limited Şirketteki Gizli Ortaklığın Tasfiyesi
Keçecioğlu, Burak
Bu çalışmada, Türk hukukunda doğrudan yasal bir düzenlemeye kavuşturulmamış olan ve temelinde Türk Borçlar Kanunu’nun adi ortaklık hükümlerine (TBK m. 620 vd.) dayanan gizli ortaklık ilişkisinin, limited şirketler eksenindeki tasfiye süreci ele alınmaktadır. Gizli ortaklık, standart adi ortaklıklardan farklı olarak, dış dünyaya yansıyan bağımsız bir malvarlığı bulunmayan; taahhüt edilen katılım payının doğrudan aktif ortağın malvarlığına dâhil olduğu, bütünüyle içe dönük ve mahremiyet esaslı bir yapıdır. Bu esnek ve borçlar hukuku menşeli iç ilişkinin; şekilci, statüsel ve alacaklıları koruma amacı güden limited şirket mimarisine entegre edilmesi, özellikle ortaklığın sona ermesi aşamasında mevcut hukuki normların çözümde yetersiz kaldığı karmaşık uyuşmazlıklara yol açmaktadır. Bu çalışmada, doktrindeki boşluğu gidermek ve şirketler hukuku pratiğine uyumlu somut hukuki tespitler üretmek amacıyla, limited şirketin aktif ortağı ile gizli ortağı arasındaki söz konusu gizli ortaklığın tasfiyesi incelenmektedir. Çalışmada, gizli ortaklığın feshinin teknik ve hukuki anlamda ticari bir tasfiyeden ziyade, taraflar arasında gerçekleşen şahsi bir “hesaplaşma” süreci olduğu tespiti yapılmaktadır. Bu bağlamda, gizli ortağın şirket malvarlığı üzerinde doğrudan ayni bir hak veya mülkiyet iadesi iddia edemeyeceği; ancak şirketin faaliyetleri neticesinde elde ettiği ekonomik değer artışından katılım payı oranında yararlandırılmasının zorunluluğu ortaya konulmaktadır. Söz konusu yapısal tezatlar ve dinamikler çerçevesinde, ödenmiş veya henüz ödenmemiş katılma paylarının akıbeti gibi uygulamada ihtilaf yaratan maddi hukuk sorunları ayrıntılı biçimde değerlendirilmiştir. Son olarak, tasfiye ve hesaplaşma sürecinden kaynaklanan yargısal uyuşmazlıklar boyutunda taraf sıfatları, görevli ve yetkili mahkeme ile zamanaşımı meseleleri sistematik bir yaklaşımla analiz edilmiştir.
- MakaleAçık Erişim2026Health perception, health belief model-based smoking cessation constructs, and nicotine dependence as predictors of intention to quit smoking among deaf and hard-of-hearing young adults
Sarlak, Deniz
Objective: This study aimed to examine the relationships among health perception, Health Belief Model-Based Smoking Cessation constructs, nicotine dependence, and intention to quit smoking among deaf and hard-of-hearing young adults, and to determine the predictive contribution of these variables to intention to quit smoking. Method: This cross-sectional correlational study included 680 deaf and hard-of-hearing young adults aged 18-25 years. Data were collected using the Fagerström Test for Nicotine Dependence, the Intention to Quit Smoking Scale, the Health Belief Model-Based Smoking Cessation Scale, and the Health Perception Scale. Pearson’s correlation analysis, hierarchical multiple regression, mediation analysis, moderation analysis, and structural equation modelling were performed. Results: Intention to quit smoking was significantly and positively associated with health perception and self-efficacy, and significantly and negatively associated with the HBM-SCS composite score, nicotine dependence, smoking consumption, degree of hearing loss, and perceived barriers (p<.001). The final hierarchical regression model explained 35.6% of the variance in intention to quit smoking (R²=.356). Self-efficacy was a statistically significant mediator of the association between smoking consumption and intention to quit smoking; the indirect effect was -0.50, with a 95% bootstrap confidence interval of [-0.64,-0.37]. Degree of hearing loss significantly moderated the association between smoking consumption and intention to quit smoking (B=-0.12, SE=0.05, t=- 2.40, p=.017). The structural equation model demonstrated good fit (χ²/df=2.51, CFI=.962, TLI=.953, RMSEA=.042, SRMR=.035). Conclusion: Health perception, Health Belief Model-Based Smoking Cessation constructs, and nicotine dependence were significantly associated with intention to quit smoking among deaf and hard-of-hearing young adults. Self-efficacy emerged as a significant mediator, whereas degree of hearing loss showed a significant moderating role.
- MakaleYalnız künye2026Alternative dispute resolution in turkish medical law: evaluating conciliation and mediation for medical malpractice cases
Uydaci, Mert; Durmuş, Veli; Kiziroglu, Serap Keskin
This study explores conciliation and mediation as alternatives to litigation in resolving healthcare disputes in Türkiye. Disputes often stem from medical errors, unmet expectations, or communication failures. Conciliation, commonly used in countries like France, Italy, and the UK, is a structured negotiation led by a neutral third party. In Türki- ye, conciliation applies to criminal medical malpractice cases involving reckless injury or privacy violations, while mediation is reserved for civil claims such as compensation. Legal prerequisites for conciliation include a formal complaint and the exclusion of specific crimes, such as sexual offenses. Public sector disputes may also require administrative approvals. Benefits of conciliation include faster resolution, reduced emotional and financial strain, and protection of reputations, especially valuable for healthcare professionals lacking malpractice insurance. Me- diation offers confidential and efficient settlements in civil cases, aiding both patients and private providers. The study advocates incorporating conciliation into Turkish health law to enhance dispute resolution, alle- viate judicial burdens, and strengthen patient-provider trust.
- MakaleAçık Erişim2022Perception towards vaccine effectiveness in controlling COVID-19 spread in rural and urban communities: A global survey
Marzo, Roy R.; Shrestha, Rajeev; Sapkota, Binaya; Acharya, Swosti; Shrestha, Nita; Pokharel, Mandip; Ahmad, Absar; Patalinghug, Mark E.; Rahman, Farzana; Salim, Zahir R.
IntroductionSeveral studies exhibited varying reports of perception toward vaccine effectiveness, vaccine hesitancy, and acceptance of COVID-19 vaccines. As this fluctuated with evidence generation, this study explored the perception toward vaccine effectiveness in rural and urban communities among various countries. MethodsA cross-sectional study was conducted online from April to August 2021 using convenience sampling among people from different countries approved by the Asia Metropolitan University Medical Research and Ethics. We adapted the questionnaire from the World Health Organization's (WHO) survey tool and guidance on COVID-19. The logistic regression models were performed to show perception toward vaccine effectiveness. ResultsA total of 5,673 participants responded to the online survey. Overall, 64% of participants agreed that the vaccine effectively controlled viral spread, and 23% agreed that there was no need for vaccination if others were vaccinated. Males had 14% higher odds of believing that there was no need for vaccination. Less social media users had 39% higher odds of developing the belief that there is no need for vaccination than all other people vaccinated. ConclusionPeople's perceptions toward vaccine acceptance have fluctuated with the information flow in various social media and the severity of COVID-19 cases. Therefore, it is important that the current scenario of peoples' perception toward vaccine acceptance and determinants affecting the acceptance are explored to promote the vaccination approach against COVID-19 prevention and transmission effectively.
- MakaleAçık Erişim2022Digital health literacy for COVID-19 vaccination and intention to be immunized: A cross sectional multi-country study among the general adult population
Marzo, Roy Rillera; Su, Tin Tin; Ismail, Roshidi; Htay, Mila Nu Nu; Essar, Mohammad Yasir; Chauhan, Shekhar; Patalinghug, Mark E. E.; Kucuk Bicer, Burcu; Respati, Titik; Fitriyana, Susan
IntroductionIt is clear that medical science has advanced much in the past few decades with the development of vaccines and this is even true for the novel coronavirus outbreak. By late 2020, COVID-19 vaccines were starting to be approved by national and global regulators, and across 2021, there was a global rollout of several vaccines. Despite rolling out vaccination programs successfully, there has been a cause of concern regarding uptake of vaccine due to vaccine hesitancy. In tackling the vaccine hesitancy and improving the overall vaccination rates, digital health literacy (DHL) could play a major role. Therefore, the aim of this study is to assess the digital health literacy and its relevance to the COVID-19 vaccination. MethodsAn internet-based cross-sectional survey was conducted from April to August 2021 using convenience sampling among people from different countries. Participants were asked about their level of intention to the COVID-19 vaccine. Participants completed the Digital Health Literacy Instrument (DHLI), which was adapted in the context of the COVID Health Literacy Network. Cross-tabulation and logistic regression were used for analysis purpose. ResultsOverall, the mean DHL score was 35.1 (SD = 6.9, Range = 12-48). The mean DHL score for those who answered Yes for support for national vaccination schedule was 36.1 (SD 6.7) compared to 32.5 (SD 6.8) for those who either answered No or Don't know. Factors including country, place of residence, education, employment, and income were associated with the intention for vaccination. Odds of vaccine intention were higher in urban respondents (OR-1.46; C.I.-1.30-1.64) than in rural respondents. Further, higher competency in assessing the relevance of online information resulted in significantly higher intention for vaccine uptake. ConclusionPriority should be given to improving DHL and vaccination awareness programs targeting rural areas, lower education level, lower income, and unemployed groups.
- MakaleAçık Erişim2023Adoption of the Green Economy through Branchless Rural Credit Banks during the COVID-19 Pandemic in Indonesia
Marhaeni, A. A. I. N.; Jermsittiparsert, Kittisak; Sudarmo, Lucia Rita; Indrawati, Lucia Rita; Prasetyo, Andjar; Fuada, Noviati; Rachmadhani, Arnis; Raharjo, Tri Weda; Wahyudianto, Heri; Harwijayanti, Bekti Putri
A green economy has an impact on improving welfare, but it takes continuous efforts to achieve it from various fields. Contribution in the context of banking on a small scale is one of the initiatives that can show participation in achieving a green economy. This study aims to explore people's behavior in financial transactions and analyze the practice of rural credit banks in encouraging the achievement of a green economy through the National Financial Inclusive Strategy (NFIS) program despite the COVID-19 pandemic. This study used quantitative approaches; observations were conducted at a certain time by collecting data taken directly as a complement to this study, as well as taking questionnaire data involving 363 samples and analyzing them using the structural equation model (SEM). The result is that green economic support is found in using paper for fewer savings transactions compared to branchless banking with conventional savings transactions. The high number of residents exposed to COVID-19 does not affect branchless banking. In addition, the use of branchless banking can show the penetration of financial literacy in the community. The results of the path analysis explain that perceived ease of use (7.468) and perceived usefulness (2.152) have an influence on attitude; intention is greatly influenced by attitude (15.357); and actual usage is influenced by intention (11.682). This research has specific implications for the Magelang City Rural Bank (MCRB), which needs to conduct market research to find out the potential of branchless banking that is specifically needed by the people of Magelang. Branchless banking innovation needs to be strengthened by presenting easy-to-understand and easy-to-use applications to improve the attitude of the Magelang people in adopting branchless banking applications and using them sustainably.
- MakaleAçık Erişim2021A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids
Yin, Fengyuan; Hajjiah, Ali; Jermsittiparsert, Kittisak; Al-Sumaiti, Ameena Saad; Elsayed, Salah K.; Ghoneim, Sherif S. M.; Mohamed, Mohamed A.
Optimal scheduling of reconfigurable interconnected microgrids is a precious and critical task for the residential consumers especially with the integration of renewable energy sources, dispatchable units and energy storage systems. In this regard, not only the optimal scheduling of the microgrids in a realistic and correlated environment is a necessity, but also the guarantied security and the prevention of cyber-attacks are mandatory tasks for the operators. This article first addresses these issues by developing a novel framework based on blockchain for secured data transaction from the individual microgrids' components to the central control unit and then tries to find the optimal scheduling plan using stochastic programming based on point estimate method (PEM). Through such a hybrid PEM-blockchain based framework, the interconnected microgrids can supply the residential loads in a fully reliable, economic and secured structure. We also consider a social-economic framework to not only minimize the total operating cost of the microgrids, but also benefit the customers by enhancing the social factors through the optimal switching. Considering the complex and nonlinear nature of the problem, an effective corrected crow search (CCS) algorithm is deployed to find the most optimal operating point for the microgrids. The quality and capabilities of the proposed model are investigated using a practical residential interconnected microgrid. The results show that the optimal switching could reduce the total operation cost from $22,716 to $21,935 (3.56% reduction). Also, the average energy not supplied (AENS) has reduced from 1.4115 to 1.352 kWh/customer.yr (4.40% reduction), which are notable values. The results advocate the quality and functionality of the proposed framework.
- MakaleYalnız künye2023Does Political Governance Influence the Sports Performance of Asia?
Jermsittiparsert, KittisaK; Joemsittiprasert, Watcharin; Fahlevi, Mochammad; Wekke, Ismail Suardi; Harakan, Ahma; Yusuf, Muhamma; Aljuaid, Mohammed
National sports are highly valued throughout Asia, yet, political and administrative concerns impede the expansion of the sport system landscape. This study aims to investigate the effect of political governance structure on Asian sporting performance. To accomplish so, we analyzed the relationship between corruption control, government effectiveness, political stability, regulatory law, and national sports performance from 1998 to 2018 while controlling for the rule of law and accountability. The Generalized Linear Model and Partial Least Square estimators were utilized to examine the data. No significant association was observed between political and governance structure and national sports performance in the Asian countries under examination, according to the study's findings. The paper includes recommendations for further research and consequences for the government and policymakers.
- MakaleYalnız künye2023Investigating the Association Between Economic Conditions and Sports Performance in Asia: A Panel Data Approach
Jermsittiparsert, Kittisa; Joemsittiprasert, Watcharin; Fahlevi, Mochammad; Sözüdogru, Oytun; Emiroglu, Talip; Aljuaid, Mohammed
Knowing the factors that influence a nation's sporting performance can aid in formulating appropriate policies and plans. This study examines the relationship between gross domestic product, population, total debt, inflation, and trade as a proportion of GDP for eleven Asian nations from 1998 to 2018. Panel unit root tests, cointegration tests, and finally, Fully Modified Ordinary Least Square (FMLOS) were used to examine the relationships between the variables. The panel results revealed that GDP and TRD favorably and significantly impact national sports performance, whereas POP and TD have a negative impact. INF was discovered to have a negligible effect on national athletic performance. Hence, we suggest that Asian nations take appropriate measures to boost national sporting achievements.
- MakaleYalnız künye2023Do Social Factors Contribute to International Sports Performance: A Panel Data Analysis of Countries' Performance in the Asian Games
Jermsittiparsert, Kittisak; Joemsittiprasert, Watcharin; Fahlevi, Mochammad; Mustanir, Ahmad; Ahmad, Jamaluddin; Aljuaidi, Mohammed
Asia has become a leader in international sports championships, which justifies a greater emphasis on the region's sporting achievements. However, different economic, political, and social elements influence the region's performance since deteriorating social or economic systems can harm performance. This study examined the impact of social factors on the international athletic performance of Asian nations. To do so, we analyzed the effect of health expenditure, education expenditure, and development on sports performance from 1961 to 2018 while adjusting for gross domestic product and population growth. The data was evaluated using VAR, and the study's conclusions demonstrated a considerable correlation between social growth and national sporting performance. The paper includes recommendations for further research and consequences for the government and policymakers.
- MakaleAçık Erişim2022Tourism Service Scheduling in Smart City Based on Hybrid Genetic Algorithm Simulated Annealing Algorithm
Suanpang, Pannee; Jamjuntr, Pitchaya; Jermsittiparsert, Kittisak; Kaewyong, Phuripoj
The disruptions in this era have caused a leap forward in information technology being applied in organizations to create a competitive advantage. In particular, we see this in tourism services, as they provide the best solution and prompt responses to create value in experiences and enhance the sustainability of tourism. Since scheduling is required in tourism service applications, it is regarded as a crucial topic in production management and combinatorial optimization. Since workshop scheduling difficulties are regarded as extremely difficult and complex, efforts to discover optimal or near-ideal solutions are vital. The aim of this study was to develop a hybrid genetic algorithm by combining a genetic algorithm and a simulated annealing algorithm with a gradient search method to the optimize complex processes involved in solving tourism service problems, as well as to compare the traditional genetic algorithms employed in smart city case studies in Thailand. A hybrid genetic algorithm was developed, and the results could assist in solving scheduling issues related to the sustainability of the tourism industry with the goal of lowering production requirements. An operation-based representation was employed to create workable schedules that can more effectively handle the given challenge. Additionally, a new knowledge-based operator was created within the context of function evaluation, which focuses on the features of the problem to utilize machine downtime to enhance the quality of the solution. To produce the offspring, a machine-based crossover with order-based precedence preservation was suggested. Additionally, a neighborhood search strategy based on simulated annealing was utilized to enhance the algorithm's capacity for local exploitation, and to broaden its usability. Numerous examples were gathered from the Thailand Tourism Department to demonstrate the effectiveness and efficiency of the proposed approach. The proposed hybrid genetic algorithm's computational results show good performance. We found that the hybrid genetic algorithm can effectively generate a satisfactory tourism service, and its performance is better than that of the genetic algorithm.
- MakaleYalnız künye2022The Leadership, Trust, and Openness to Experience as Antecedents of Performance of Sports Manufacturing Firms of Thailand, Exploring the Mediating Role of Team Cohesion
Fahlevi, Mochammad; Jermsittiparsert, Kittisak; Wongsuwan, Navaporn; Aljuaid, Mohammed; Chankoson, Thitinan; Waiyawuththanapoom, Phutthiwat
The performance of the organizations needs to be measured. This study aimed to determine the relationship between openness, trust, leadership, team cohesion, and organizational performance. This study was cross-sectional, and survey questionnaires were used to collect data from participants. The questionnaire was distributed to employees of Thai organizations that manufacture sports goods. For this purpose, convenience sampling was used, and 75.78 percent of the responses were usable. For data analysis, PLS 3.3.2 was utilized. According to the study's findings, trust does not affect team cohesion. Additionally, team cohesion does not mediate between confidence and performance. However, the remaining relationships were deemed significant. The study's findings are beneficial for policymakers and academics.
- MakaleAçık Erişim2023An Intelligent Recommendation for Intelligently Accessible Charging Stations: Electronic Vehicle Charging to Support a Sustainable Smart Tourism City
Suanpang, Pannee; Jamjuntr, Pitchaya; Kaewyong, Phuripoj; Niamsorn, Chawalin; Jermsittiparsert, Kittisak
The world is entering an era of awareness of the preservation of natural energy sustainability. Therefore, electric vehicles (EVs) have become a popular alternative in today's transportation system as they have zero emissions, save energy, and reduce pollution. One of the most significant problems with EVs is an inadequate charging infrastructure and spatially and temporally uneven charging demands. As such, EV drivers in many large cities frequently struggle to find suitable charging locations. Furthermore, the recent emergence of deep reinforcement learning has shown great promise for improving the charging experience in a variety of ways over the long term. In this paper, a Spatio-Temporal Multi-Agent Reinforcement Learning (STMARL) (Master) framework is proposed for intelligently public-accessible charging stations, taking into account several long-term spatio-temporal parameters. When compared to a random selection recommendation system, the experimental results demonstrate that an STMARL (master) framework has a long-term goal of lowering the overall charging wait time (CWT), average charging price (CP), and charging failure rate (CFR) of EVs.
- MakaleAçık Erişim2022Extensible Metaverse Implication for a Smart Tourism City
Suanpang, Pannee; Niamsorn, Chawalin; Pothipassa, Pattanaphong; Chunhapataragul, Thinnagorn; Netwong, Titiya; Jermsittiparsert, Kittisak
The metaverse is an innovation that has created the recent phenomenon of new tourism experiences from a virtual reality of a smart tourism destination. However, the existing metaverse platform demonstrated that the technology is still difficult to develop, as the service provider did not disclose the internal mechanisms to developers, and it was a closed system, which could not use or share the user's data across platforms. The aim of this paper was to design and develop an open metaverse platform called the extensible metaverse, which would allow new developers to independently develop the capabilities of the metaverse system. The acquisition of this new technology was conducted through requirements analysis, then the analysis and design of the new system architecture, followed by the implementation, and the evaluation of the system by the users. The results found that the extended metaverse was divided into three tiers that created labels, characters, and virtual objects. Furthermore, the linking tier combined the 3D elements, and the deployment tier compiled the results of the link to use all three parts by using the Blender program, Godot Engine, and PHP + WebGL as their respective key mechanisms. This system was tested in Suphan Buri province, Thailand, which was evaluated by 428 users. The results of the metaverse satisfaction, created tourism experience, and overall satisfaction of the variation of the satisfaction of using the metaverse were 86.0%, 79.7%, and 92.9%, respectively. The relative Chi-square (chi(2)/df) of 1.253 indicated that the model was suitable. The comparative fit index (CFI) was 0.984, the goodness-of-fit index (GFI) was 0.998, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.024. In conclusion, the extended metaverse is more flexible than other platforms and also creates the user's satisfaction and tourism experience in the smart destination to support sustainable tourism.
- MakaleYalnız künye2022Player's Physical Fitness, Training Process, and Team Support Impact on Football Team Performance in Thailand: Mediating Role of Player Satisfaction
Fahlevi, Mochammad; Jermsittiparsert, Kittisak; Wongsuwan, Navaporn; Aljuaid, Mohammed; Sukpasjaroen, Khunanan; Chankoson, Thitinan
Globally, team performance has become a crucial factor for the success of any sport, attracting the interest of regulators, coaches, and new researchers. Therefore, the current study investigates the impact of critical factors such as physical fitness, training process, and team support on the performance of the Thai national football team. In addition, this article examines the mediating effect of player satisfaction on the relationships between physical fitness, training process, team support, and football team performance in Thailand. The researchers collected the data using primary data collection methods such as questionnaires. The respondents were selected using purposive sampling, and smart-PLS was used to assess the reliability and relationships between variables. The results demonstrated that physical fitness, training process, and team support positively affect the performance of the Thai national football team. In addition, the results indicated that player satisfaction significantly mediates the relationships between physical fitness, training process, team support, and football team performance in Thailand. This article assists regulators in developing regulations regarding team performance and serves as a guide for future researchers investigating this field.
- MakaleAçık Erişim2022Detection of Natural and Simulated Periodontal Defects Using Cone-Beam Computed Tomography and Digital Intraoral Radiography
Misirli, Melis; Aksoy, Secil; Tumer, Hayriye; Bilginaylar, Kani; Karaoglulari, Suzan; Berberoglu, Atilla; Orhan, Kaan; Icen, Murat
Objectives: In this study, it was aimed to compare the diagnostic value of cone beam computed tomography (CBCT) and digital intraoral periapical imaging methods in the diagnosis of periodontal defects, and the comparison of observers practicing dentistry in the field of periodontology and 3 other observers specialized in various branches was evaluated. Methods: 7 dry mandible and 5 dry maxilla were used in this study. A total of 111 artificial and natural defects (dehiscence, furca, fenestration, vertical defects) on the anterior, premolar and molar region were imaged with digital imaging techniques using different exposure parameters and scanned with CBCT. Results: According to the results of this study, CBCT is a more reliable method in the evaluation of all periodontal defects compared to CCD and PSP. 60 and 70 kVp with 0.01 irradiation time in CCD and 70 kVp 0.25 irradiation time in PSP is not suitable for detecting defects owing to high contrast. In the evaluation of periodontal defects, there was no single observer who had good results, different imaging methods and varying results were obtained in different defects. Conclusion: This study showed that the CBCT method has some diagnostic value for detecting all natural and simulated periodontal defects but it should only be used in cases where clinical evaluation and conventional radiographic imaging do not provide the information necessary for an adequate diagnosis and proper periodontal treatment planning.
- MakaleYalnız künye2022Moderating Effect of Ethical Climate between the Relationship of Coach Ethical Leadership and Affective Commitment: An Evidence from Thailand Nonprofessional Soccer Player
Fahlevi, Mochammad; Jermsittiparsert, Kittisak; Wongsuwan, Navaporn; Aljuaid, Mohammed; Chankoson, Thitinan
A multitude of ethical dilemmas perpetually besets non-professional soccer. It is believed that coaches can be beneficial in preventing unethical behavior. Therefore, this study examines the moderating effect of perceived ethical climate on the relationship between coach ethical leadership and the affective commitment of non-professional soccer players. A convenient sampling technique was utilized to collect data from 300 amateur Thai soccer players for this purpose. The Structural Equation Modeling (SEM) demonstrated that the direct effect of player-perceived coach ethical leadership and player-perceived ethical climate has a significant and positive relationship with affective commitment. The indirect impact of the critical findings indicates that players' perceptions of the ethical environment moderate the relationship between their perceptions of the ethical leadership of their coaches and their affective commitment. These findings suggest that ethical climate is integral because it significantly mediates exogenous and endogenous variables. Therefore, this moderating effect relationship is a significant contribution to the study. This study could assist athletes and clubs in understanding the significance of coaching ethical leadership and ethical climate in enhancing the affective commitment of non-professional athletes.
- MakaleAçık Erişim2022Integration of Kouprey-Inspired Optimization Algorithms with Smart Energy Nodes for Sustainable Energy Management of Agricultural Orchards
Suanpang, Pannee; Pothipassa, Pattanaphong; Jermsittiparsert, Kittisak; Netwong, Titiya
Energy expenditures are now the main cost for two businesses that generate huge incomes each year for Thailand, which are agribusiness and community tourism. As entrepreneurs have to share a portion of their income as energy utility bills each month. This is a factor which results in them getting a low net return. Recognizing the need for energy management for sustainable use in agriculture focusing on durian cultivation in Kantharalak district and community tourism in Sisaket province, this research used a newly developed optimization algorithm called Kouprey-inspired optimization (KIO) to assist energy management in smart agriculture to support community-based tourism. This was initiated with a smart energy node to reduce the energy and labor costs for volcanic durian planting and accommodation in community-based tourist attractions in Sisaket province. The results showed that the combination of the KIO algorithm and smart energy node allowed for efficient management of the volcanic durian orchards and the use of clean energy in combination with traditional electric power for volcanic durian cultivation and community-based tourism. As the research area in Sisaket province had eight hours of solar power per day, this was sufficient for smart agriculture and community-based tourism in the daytime and in the evening. Furthermore, this allowed operators in both the agricultural and tourism sectors to reduce the labor costs of the durian orchard business and community-based tourism by about 30%, and in the energy sector, the costs could be reduced by 50%. As a consequence, this prototype would lead to the expansion and trial in durian orchards in the Eastern Economic Corridor area, which is an important economic area producing durian for export of the country.
- MakaleAçık Erişim2022Autonomous Energy Management by Applying Deep Q-Learning to Enhance Sustainability in Smart Tourism Cities
Suanpang, Pannee; Jamjuntr, Pitchaya; Jermsittiparsert, Kittisak; Kaewyong, Phuripoj
Autonomous energy management is becoming a significant mechanism for attaining sustainability in energy management. This resulted in this research paper, which aimed to apply deep reinforcement learning algorithms for an autonomous energy management system of a microgrid. This paper proposed a novel microgrid model that consisted of a combustion set of a household load, renewable energy, an energy storage system, and a generator, which were connected to the main grid. The proposed autonomous energy management system was designed to cooperate with the various flexible sources and loads by defining the priority resources, loads, and electricity prices. The system was implemented by using deep reinforcement learning algorithms that worked effectively in order to control the power storage, solar panels, generator, and main grid. The system model could achieve the optimal performance with near-optimal policies. As a result, this method could save 13.19% in the cost compared to conducting manual control of energy management. In this study, there was a focus on applying Q-learning for the microgrid in the tourism industry in remote areas which can produce and store energy. Therefore, we proposed an autonomous energy management system for effective energy management. In future work, the system could be improved by applying deep learning to use energy price data to predict the future energy price, when the system could produce more energy than the demand and store it for selling at the most appropriate price; this would make the autonomous energy management system smarter and provide better benefits for the tourism industry. This proposed autonomous energy management could be applied to other industries, for example businesses or factories which need effective energy management to maintain microgrid stability and also save energy.
- MakaleAçık Erişim2023Sustaining the Earth: Unraveling the Synergy of Workplace Spirituality, Responsible Leadership, and Pro-Environmental Behavior in Pakistan's SMEs
Shah, Syed Haider Ali; Fahlevi, Mochammad; Jamshed, Kamran; Aman, Nida; Rafiq, Nosheen; Jermsittiparsert, Kittisak; Aljuaid, Mohammed
Purpose: The purpose of this research is to investigate the synergistic impact of workplace spirituality (WPS), responsible leadership (RL), and pro-environmental behavior (PEB) within the context of Pakistan's Small and Medium Enterprises (SMEs) along with the mediating mechanism of Affective commitment (AC).Methods: Our study utilizes structural equation modeling (SEM) to analyze survey data collected from 390 employees within Pakistani SMEs. We develop a single unified framework to test the hypothesized relationships between RL, PEB, and AC as a mediator. Results: Our results unveil significant positive relationships between WPS, RL, and PEB. Our findings endorse both the direct connections between WPS, RL, and PEB, as well as the mediating mechanisms through AC. This study offers novel insights into the influence of PEB in the context of Pakistan's SMEs.Conclusion: The research significantly contributes to the existing literature by examining WPS, RL, PEB, and AC in the context of Pakistan's SMEs. The study's conclusions emphasize the potential benefits of integrating WPS and RL into business practices to encourage PEB. Additionally, we discuss the limitations of our research and suggest future avenues for further exploration in this vital area of sustainable business management.
