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JESUS’ PRINCIPLES FOR PEACEBUILDING
Get PDFThis study explores Jesus’ ideas about peacebuilding in their historical context. The study considers Jesus’ teaching within the context of the conflict of first-century Palestine at its center. Jesus conceptualizes peace in the context of the kingdom of God and prioritizes peace over justice. The principles for Jesus’ strategy for peacebuilding are motivated by compassion, love, identity, forgiveness, and peace itself as a superior reality. The practical implications of these include reset of conflict realities, recognition of ambivalence of conflict and peace, building a culture of peace in the presence of conflict, reconciliation, repentance, and forgiveness, and human free will. The study identifies four conflict barriers that contribute to present-day conflict perpetuation: a destructive emotional orientation, a compromised vision for peace, compromised pragmatic ethics, and an ethnocentric view of peace
Relationship Quality as a Mediator of the Effects of Social Commerce on Purchase Intentions
Get PDFAlthough social commerce has emerged as a prominent form of e-commerce, it remains unclear how businesses can effectively foster and cultivate strong relationships with consumers in this realm. Hence, this study examines the relationship and impact of social interactions and technical elements on consumer purchasing intentions within the Thai market. The study investigates how factors such as social support, platform quality, interpersonal interactions, and relationship quality influence purchase intentions. The objective is to address the knowledge gap in the literature related to social commerce. Data were obtained from 1,815 Thai participants through an online questionnaire. Partial least squares structural equation modeling was utilized to test the research hypotheses. The collective findings indicate that interpersonal interactions and platform quality positively influence purchase intentions, with relationship quality serving as a mediator. However, neither emotional nor informational support significantly affected relationship quality or purchase intentions, highlighting a preference for trust in close-knit relationships over online reviews. Overall, this study offers empirical evidence and managerial implications that can help businesses develop strategies for engaging with social commerce
The Digital Payment System: How Does It Impact Indonesia's Poverty?
Get PDFDigital payments are currently well-developed and available through various methods, especially in Indonesia. Digital payments are essential in ensuring the country’s economy keeps running and in helping to boost the economy. However, the impact of such payments on poverty is currently unknown. This study examines the impact of digital payments on poverty rates in Indonesia. We use the ECM (Error Correction Model) to analyze the impact of digital payments on poverty in the short and long term, using data from 2009 to 2022. The results show that an increase in digital payments through the volume of ATM and debit card transactions is associated with short and long-term poverty reduction. Meanwhile, the variable volume of credit card transactions and volume of electronic money transactions does not significantly impact poverty in the short or long term. Economic growth as a control variable also plays a role in reducing poverty significantly in the long term
Factors Influencing the Quality of Higher Vocational Education in Chengdu during the COVID-19
Get PDFPurpose: The purpose of this study is to explore the key factors that significantly influence the teaching quality of four different types of higher vocational colleges in the Chengdu region after the novel coronavirus epidemic. The conceptual framework proposed a causal relationship among academic aspects, reputation, information quality, instructor quality, perceived value, satisfaction, and loyalty. Research design, data, and methodology: The research approach utilized in this study was quantitative, with a sample size of 500 third-year students from various higher vocational colleges. A multistage sampling method was employed, which included judgmental sampling for selection, stratified random sampling for determining the number of students, and convenient sampling for data collection and online/offline survey dissemination. The data analysis used Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) techniques to evaluate construct validity, reliability, and model fit. Results: The findings of this investigation demonstrated that reputation, information quality, instructor quality, and perceived value significantly influence satisfaction and loyalty, while the impact of academic aspects was found to be insignificant. Conclusions: Schools should not blindly invest in academic research but should focus more on the teaching interaction between students and teachers, the application of information technology in school management and the teaching process, and improving students' skills in school
The Assessment on Science and Engineering Undergraduates’ Satisfaction and Loyalty towards Network Teaching Platform in Chengdu, China
Get PDFPurpose: This research evaluates factors impacting science and engineering undergraduates’ satisfaction and loyalty toward network teaching platforms. The key variables include trust, experience, service quality, perceived value, privacy, satisfaction, and loyalty. Research design, data, and methodology: Quantitative method was applied for this research by using probability and nonprobability methods, The sampling techniques are judgmental, stratified random and convenience sampling. 503 samples were collected from two target universities, namely, Xihua University (XHU) and Jincheng College of Chengdu (JCCCD). Index of item objective congruence (IOC) and Cronbach’s Alpha reliability test for pilot test (n=30) were approved before the data collection. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were utilized to determine the relationships of the variables under study. Results: Service quality, perceived value, privacy and trust have a significant impact on satisfaction. Additionally, satisfaction and trust significantly impact loyalty. On the other hand, experience has no significant impact on satisfaction. Conclusions: Since online education plays an essential role in the information age and networking, universities and colleges widely adopt the teaching platform. It is important to acknowledge what factors impact undergraduates’ loyalty and satisfaction towards these platforms, and sufficient attention should be paid to these factors according to the finding of this research
Factors Impacting University Majoring in Vocal Music Students’ Behavioral Intention to Chaoxing Learning Platform In Changsha, Hunan, China
Get PDFPurpose: The purpose of this study was to determine students’ behavioral intention to Chaoxing learning platform. The study was conducted in public primary university in Changsha, Hunan Province, China, with majoring vocal students who had at least one year of experience using this technology. Research design, data and methodology: This is a quantitative study, which uses survey to collect sample data through a set of questionnaires to explore the factors influencing the Behavioral Intention of using Chaoxing learning platform for vocal music majors in university. The questionnaire is made by online questionnaire of Kingsoft Form with 500 sample size. The content validity method of Item Objective Congruence (IOC) Index was used, resulting all measuring items reserved by three experts. Pilot testing of 30 participants was approved under Cronbach’s Alpha reliability test at a score of 0.7 or over. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were performed for data analysis, including goodness of model fits, validity, and reliability testing. Results: The results show Perceived Enjoyment, Self-Efficacy, Teacher Support, Perceived Ease, Perceived Usefulness, Perceived Ease of Use and Attitude all support the model. Conclusions: This study has a relevant role in promoting the service of Chaoxing platform and the improvement of related technologies
An Examination on Purchase Intention of New Energy Vehicles Among 31-60 Years Old Consumers in Sichuan, China
Get PDFPurpose: The objective of this research is to investigate the factors influencing consumers' purchase intentions regarding new energy vehicles in the region of Sichuan, China. A conceptual framework has been developed, encompassing six key variables: trust, attitudes, perceived risk, perceived behavioral control, perceived quality, and purchase intention. Research design, data, and methodology: The researchers employed quantitative research techniques, utilizing questionnaires as their primary research instrument. The target population consisted of individuals in Sichuan, China, who either own or express an interest in purchasing new energy vehicles. The study's sample size comprises individuals aged 31 to 60 years old, totaling 500 respondents. Data collection was conducted through a combination of judgmental, convenience, and snowball sampling methods. The primary objective of this investigation is to leverage the power of confirmatory factor analysis (CFA) and structural equation modeling (SEM) as robust statistical methodologies. Results: Trust has a significant impact on attitudes. Purchase intention is significantly impacted by attitude and perceived behavior control, but not by perceived risk and perceived quality. Conclusions: By recognizing the significance of age as a determinant in consumer decisions and tailoring strategies accordingly, organizations can engage consumers effectively across different age groups and foster long-term customer relationships
Assessing Parents On Factors Impacting Primary Students’ Continuance Intention to Use Tencent Class Platform in Chongqing City, China
Get PDFPurpose: This research investigates parents on the factors influencing students' continuance intention of the Tencent Class platform among parents in a primary school located in Chongqing city, China. The conceptual framework encompasses perceived responsiveness, information quality, self-efficacy, service quality, satisfaction, trust, and continuance intention. Research design, data, and methodology: The target population comprises 500 parents of students in Grade 1-3 attending Shuren Primary School in China who have utilized the Tencent Class Platform. A quantitative research approach was employed, utilizing a questionnaire. The sampling techniques employed in this study encompass judgmental, convenience, and snowball sampling. To ensure the validity and reliability of the instrument, a pilot test was conducted involving a sample of 50 participants, and the item-objective congruence (IOC) index and Cronbach's alpha were utilized for the validity and reliability testing, respectively. The data obtained were analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: Perceived responsiveness and information quality significantly impact self-efficacy. Self-efficacy, service quality and information quality significantly impact satisfaction. Satisfaction significantly impacts continuance intention through trust. Conclusions: This study lies in its potential to inform educational practices, platform development, policy-making, and academic discussions, ultimately benefiting parents, educators, platform developers, policy-makers, and researchers in the field of e-learning in primary education
Factors Influencing Intention To Use Smart Home Technology in Chengdu-Chongqing Economic Circle, China
Get PDFPurpose: This study aims to explore the influencing factors of residents' behavioral intention to use smart home technology in Chengdu Chongqing economic circle, China. The conceptual framework contains perceived usefulness, perceived ease of use, personal innovativeness, trust, hedonic motivation, social influence, price value and intention to use. Research design, data, and methodology: The user's target population is 500 smart home users in the Chengdu-Chongqing economic circle of China. Before distributing the questionnaire, Item-Objective Congruence (IOC) and a pilot test of Cronbach's Alpha were adopted to test the content validity and reliability. Data was analyzed by utilizing Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to validate the model’s goodness of fit and confirm the causal relationship among variables for hypothesis testing. Results: All hypotheses were supported. Perceived usefulness, perceived ease of use, personal innovativeness, trust, hedonic motivation, social influence and price value significantly influence intention to use. Additionally, perceived ease of use has a significant influence on perceived usefulness. Conclusions: This study suggested that developers of smart homes and management of users should focus on improving the quality factors of smart home technology for users to perceive the system as useful and would further formulate favorable attitudes and behavioral intentions toward using smart homes