International Journal of Engineering Technologies and Management Research

FACTORS INFLUENCING THE GUEST’S CHOICE OF RESORT IN KALAW, MYANMAR

Hnin Yee Hlaing — 2023-09-09

This research investigates the decision-making process of tourists when selecting resorts in Kalaw, Myanmar. According to several studies, the selection of domestic travelers is influenced by factors such as the quality of the room, the location of the hotel, the level of security provided, the efficiency and helpfulness of the service staff, the available features, and amenities of the hotel, as well as the ratings and feedback provided by previous guests. This study examines the relationship between these variables through the utilization of non-probability sampling and quantitative research techniques, such as multiple linear regression and descriptive data analysis. The results underscore the significance of guest feedback, hotel amenities, and staff performance. Although the study acknowledges the importance of its findings, it also acknowledges the presence of sampling bias and self-reported social desirability bias. The present study investigates the decision-making process of domestic tourists when selecting resorts in Kalaw, Myanmar. This comprehensive analysis examines the various factors that impact the choices of domestic tourists in Kalaw, Myanmar. The results of this study have the potential to assist resort operators in enhancing guest satisfaction and gaining a competitive advantage. The present study holds considerable importance for the Kalaw resort industry since it specifically examines the preferences and interests of domestic tourists.

ASSESSING IMPACT OF DEMONETIZATION AND RERA ON REAL ESTATE SECTOR

S. G. Sonar — 2023-09-13

The Real Estate Sector is an aggregate made up of the housing, industrial, office and retail sectors; wherein, housing sector plays the most significant role. At any point in time, this sector may not be at demand-supply equilibrium because of frequent exogenous parameters and several uncertainties present. Sudden announcement of demonetization on 8th November 2016 and implementation of Real Estate Regulation (and Development) Act (RERA), 2016 with effect from 1st May 2017 have severally affected demand-supply equilibrium in Indian Real Estate Sector. Demonetization has adversely affected the Real Estate Sector with cash transactions getting eliminated and wiping out black money from the sector. Further, implementation of RERA aims to create a more transparent environment for property buyers by increasing the accountability of developers and regulating the Real Estate Sector. Therefore, assessment of impact of demonetization and RERA on Real Estate Sector has become inevitable to understand volatility resulting into the sector due to them and perspectives of important stakeholders about them.
In this research paper, assessment of impact of demonetization and RERA on Real Estate Sector in the city of Pune has been carried out using analysis of Registrations of Documents, Revenue Collections, Annual Statements Rates and Market Rates of housing properties, and conducting primary survey of experts, developers, and buyers.

FACTORS INFLUENCING CATHOLIC FAITHFUL’S INTENTION TO REVISIT CHURCH THROUGH SUNDAYS ‘MASS ATTENDANCE AT THE ANNUNCIATION CHAPEL OF THE ASSUMPTION UNIVERSITY OF THAILAND

Yezouma Pascal Coulibaly — 2023-09-20

This study examines the intention of the Catholics to revisit Church through Sunday Mass attendance at Annunciation Chapel of the Assumption University (AU Chapel) in Bangkok, Thailand. Religious values, sense of achievement, personal growth, cultural values, social interaction, preaching style, Church branding, physical evidence, and family support affect this goal. Data was acquired using online and printed surveys utilizing non-probability sampling. Studying the Catholics' intention to revisit Church through Sunday mass attendance at AU Chapel aims to guide Church leaders in meeting worshippers' expectations. By highlighting factors impacting the faithful's intention to revisit the Church, it supports the Catholic Church's mission. Multiple linear regression, and descriptive analysis were used. The study stresses personal and spiritual growth, physical evidence, religious values, and social interaction when revisiting the Church. However, sample, and self-reporting bias are noted. Methodology and Approach: Convenience sampling was used to select 114 respondents for quantitative approaches including multiple linear regression. Online and print questionnaires collected demographic and revisit intention data over three weeks. A Cronbach's alpha pilot test for questionnaire reliability was used with non-probability sampling. Findings: Personal and spiritual growth substantially affects AU Chapel revisiting intention (beta = 0.4249). Physical evidence, religious value, and social interaction also matter (beta = 0.2221, 0.2122, and 0.202). Research Limitations/Implications: Self-reporting causes sampling and social desirability bias. The study may disregard Catholics' intentions' subtlety. Leaving some elements out may impair understanding. Originality/value: This study expands knowledge of Catholics' Sunday Mass intentions at AU Chapel in Bangkok. It identifies essential criteria to improve Church responsiveness and worshippers' satisfaction. Its special focus on Catholic faithful preferences in AU Chapel affects the Church's mission in Thailand.

OPTIMAL SIZING AND OPERATION OF HYBRID POWER SYSTEMS CONSIDERING THE BATTERY CAPACITY DEGRADATION LIMITATIONS

Musa Terkeş — 2023-10-03

Evaluating clean energy alternatives in hybrid power systems (HPS) is critical within sustainable development and zero-carbon policies. Considering the synchronization issues between energy generation and consumption, determining the optimal operating performance of battery energy storage systems (BESS) will likely increase support and interest in HPS investments. In this study, HPSs using shared BESSs for prosumers in a common bus distribution network are optimally sized with a minimum cost objective in a multi-year sensitivity analysis. Most importantly, the optimal C-rate and maximum depth of discharge (DOD_max) operation are determined to match the supply-demand balance and maximize the HPS benefit at lower end-of-life (EOL) limits. The impact of increases in EOL limits on the technical, economic, and environmental feasibility of HPS and BESS aging is also evaluated. At the same time, all operations are performed considering four different sub-degradation models using the Arrhenius strategy and Rainflow Counting algorithm. The results show that increasing the C-rate reduces CO2 by up to 19% while increasing BESS equivalent cycles and cycling degradation by 28.26% and 10%, respectively. HPS performance is maximized based on optimum BESS operating at 80% DOD_max. Based on the obtained results, it is also emphasized that the impact of BESS operating performance on HPS feasibility and aging analysis will be valuable for many stakeholders.