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Behavioral Intention to Use Mobile Reading Apps Among Female Students in Chengdu, China
Get PDFPurpose: This paper analyzes the factors affecting behavioral intentions of female students in Chengdu, China, to use and purchase mobile reading applications. The conceptual framework proposes the causal relationship among perceived value, satisfaction, service quality, trust, social influence, perceived usefulness, perceived ease of use and behavioral intention. Research design, data, and methodology: In this study, 840 female students were investigated by using judgmental, stratified random, and convenience sampling. The primary data collection tool was a questionnaire. Statistical software was used for data analysis, using confirmatory factor analysis (CFA) and structural equation model (SEM). The validity and reliability test were accounted to verify the data. Results: Perceived value and service quality significantly impact satisfaction towards trust and behavioral intention. Perceived ease of use has a significant impact on perceived usefulness. Furthermore, behavioral intention is significantly impacted by social influence and perceived usefulness but not by perceived ease of use. Conclusion: Software developers should pay attention to consumer needs to be able to attract college students with high-quality content and ensure payment security. To sum up, the findings are helpful for mobile reading developers to enhance the behavioral intention to purchase and use the mobile reading apps in China
Determinants of Satisfaction and Continuance Intention to Use Cloud-Based E-Learning Among Undergraduate Students in Ningxia Universities
Get PDFPurpose: This study examines what factors affect the satisfaction and continuance intention of college students majoring in English translation and interpreting on cloud-based e-learning. The conceptual framework consists of task-technology fit, learning-technology fit, interactivity, course content quality, course design quality, organizational support, perceived usefulness, satisfaction and continuance intention. Research design, data, and methodology: A quantitative research method was used to distribute questionnaires to three Ningxia universities and perform data analysis. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) were applied to analyze the collected results and examine the pre-designed hypotheses' model fit, reliability, and validity. Results: It was found that satisfaction was the strongest predictor of continuance intention, followed by perceived usefulness. In addition to learning-technology fit as an antecedent, task-technology fit, interactivity, course content quality, course design quality, and organizational support showed significant and positive effects on satisfaction and perceived usefulness. Conclusion: Achieving and improving the satisfaction of students to use cloud-based e-learning is the priority for developers, administrators, and teachers. For organizations, adequate support for users and cloud-based e-learning is beneficial to enhance users' perceived usefulness. For developers, updating and ensuring a high degree of technical alignment of the system with the user's mission is an effective approach
A Confirmatory Factor Analysis of Competency Model of Software Developers: A Case of INTO Company
Get PDFThis research aims to explore the competency factors and dimensions of software developers' competency at INTO company, to create a competency model of software developers' competency at INTO company, and to verify the reliability and validity of the competency factors and dimensions in the context of INTO company. The samples in this research were 480 software development employees of INTO company. A questionnaire was used to collect data and test the hypothesis by confirmatory factor analysis. The results showed that the competency factor model was consistent with the empirical data, with a value of c2 equal to 280.42 and a p-value equal to .000, c2/df is equal to 1.650, GFI is equal to 0.96, AGFI is equal to 0.90, CFI is equal to 0.99, NFI is equal to 0.98, RMR is equal to 0.04, and RMSEA is equal to 0.04. The competency factor model of software developers consists of three components: Professional knowledge and skills, interpersonal competence, and personality traits
Factors Influencing Intentions to Return Express Delivery Packages for Next Use in A Developing Country
Get PDFThe rapid growth of the e-commerce and logistics industries has generated considerable express packaging waste, which is steadily harming the environment. Thus, achieving a sustainable e-commerce system has become crucial. This study aims to identify the factors that affect intentions to return Express Delivery Packages (EDPs) for next use by applying the extended Theory of Planned Behaviour (TPB) in a developing country context. The research data were gathered through an online survey in Thailand. In total, 426 responses were obtained using convenience sampling. This paper presents the constructed model and results of the empirical data analysis which utilized a Covariance-Based Structural Equation Modelling (CB-SEM) approach. The results reveal that attitude, subjective norms, perceived behavioral control, and awareness of consequences, significantly impact intentions. Surprisingly, the hypotheses for convenience, incentive, and risk perception, did not affect intentions to return. The contributions to the literature on reverse logistics include improving understanding of the consumer perspective as well as providing insights to the government and express delivery operators for understanding the relative magnitude of factors that lead to intentions to return EDPs, which can provide guidance in forming strategies that will encourage the involvement of more enviormentally friendly practises, in line with circular goals
The Development of Chatbot Provided Registration Information Services for Students in Distance Learning
Get PDFIn recent years, chatbots have become crucial, particularly for assisting students with real-time registration information. This research focused on 1) synthesizing registry works related to information provided for students, 2) designing chatbots and conversation structures in the form of interactive conversations between students and robots for answering questions and providing information tailored to their needs, and 3) examining and evaluating the use of chatbots in providing information services to students, while analyzing the accuracy and suitability of the developed chatbot. This study, based on research and development, utilized a sample consisting of 16 staff directly involved in the provision of registration information to students and 255 undergraduate students from Sukhothai Thammathirat Open University, with respondents being selected through a simple random sampling technique. The synthesis of the research results revealed the following findings: 1) A qualitative study revealed that the registration information related to students, called STOU Journey, consisted of 10 issues, and was required for the whole learning period. 2) The result of the design and development of the chatbot revealed that the developer chatbot could be used on both the website and the LINE application. It was also found that the chatbot could answer most questions correctly and completely. The chatbot responded quickly and was easy to use. The chatbot used language that was easy to understand and natural, while 3) satisfactory evaluation results from 255 undergraduate students showed that overall, students who had used the completed version of the chatbot were satisfied with the use of the chatbot at a high level (Mean = 4.19, SD = 0.98) while they also felt that the chatbot was easy to use (Mean = 4.33, SD = 0.95) and the using the chatbot felt like a natural conversation (Mean = 4.22, SD = 0.99)
Understanding Managerial Action in Business Model Transformation of Small and Medium-Sized Enterprises
Get PDFSmall and Medium-Sized Enterprises (SMEs) typically adapt their business model opportunistically with new value propositions, adding partnerships or improving their cost structure. Business model transformation has been proven to drive SMEs innovation and success, however, the role of SME managers in facilitating such transformation remains unclear. While peer-to-peer sharing has received much attention in public debates and academic research, sharing among firms is largely neglected in both. Looking at current opportunities for SMEs in business-to-business (B2B) sharing, this research aims to identify recurring patterns of manager’s activities along a business model transformation for which a cross-case analysis with Swiss SMEs was used along several cycles of action research with semi-structured, deductively coded interviews.
The research identified three phases of management action: managers focus on identifying the business opportunity, they adjust processes and technical infrastructure to enable their organization to seize the opportunity and involve the entire organization to ensure a lasting change in their business model. While the impact of B2B sharing on each SME may be considered limited, this research offers original insights how managers drive business model transformation in SMEs. It illustrates a novel process in three distinct phases while identifying dedicated managerial action for each phase
Book Review- Think Again: The Power of Knowing What You Don’t Know
Get PDFAdam Grant is a renowned psychologist, best-selling author, and top-rated professor at the Wharton School, University of Pennsylvania. His books, including “Give and Take”, “Originals”, “Option B”, “Power Moves” and “Think Again” have sold millions of copies, been translated into 45 languages, and earned him the #1 spot on the New York Times bestseller list. As one of TED’s most popular speakers, with over 30 million views, Grant’s insights on work and leadership resonate with audiences worldwide. He is recognized as one of the world’s 10 most influential management thinkers and has received prestigious awards for his scientific achievements. Adam Grant continues to inspire individuals and organizations to challenge norms and drive positive change
Learning Satisfaction of Online Art Education: A Case of Undergraduates in Public Colleges in Sichuan
Get PDFPurpose: Online education is destined to become the development trend of education due to the rise of the COVID-19 epidemic. Therefore, this study aims to determine influencing factors of learning satisfaction of undergraduate students, majoring in online art education in public colleges in Sichuan Province, China. A conceptual framework proposes the causal relationship between system quality, information quality, service quality, perceived usability, perceived ease of use, self-efficacy, and learning satisfaction. Research design, data, and methodology: 494 undergraduates were surveyed as part of the study using a project questionnaire using both online and offline approaches. The sampling methods are judgmental sampling, stratified random and convenience sampling. In order to quantify the causal link and conduct a hypothesis test between the variables, the researcher utilized confirmatory factor analysis and a structural equation model. Results: The results demonstrate that all hypotheses are supported. Furthermore, self-efficacy has the strongest significant effect on perceived ease of use. Conclusion: This research can guide the relevant departments of art majors in public universities in Sichuan Province to integrate online learning and increase the effectiveness of that learning by enhancing students’ performance
The Assessment of Attitude and Behavioral Intention of E-Learning Among Art and Design Students of Chengdu Textile College in China
Get PDFPurpose: With the pandemic outbreak worldwide, electronic learning has been increasing in higher education. It is critical to survey students’ willingness to utilize e-learning. Thus, the purpose of the research is to study the factors significantly impacting on perceived usefulness, attitude, and behavioral intention of e-learning in college education among art and design significant students at Chengdu Textile College (CTC) of Sichuan Province in China. Research design, data, and methodology: A quantitative approach was applied with 500 samples and distributed questionnaires to target art school students at Chengdu Textile College. The sampling methods for data collection involve judgmental, quota and convenience sampling. The Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were applied in statistical analysis, including model fits, validity and reliability of constructs, and hypothesis testing. Results: The results of the study confirm that the causal relationships among self-efficacy, perceived ease of use, social influence, and performance expectancy on perceived usefulness, attitude, and behavioral intention toward e-learning utilization. Conclusion: This study contributes to educators to put forward suggestions for college education management, curriculum designers, and researchers to get better acquainted with e-learning and make active implementation due to students’ higher perceived usefulness and active attitude and willingness of electronic learning utilization
Post-90s Young People's Turnover Tendency and its Implication for Organization Development: A Mixed Methods Research
Get PDFIn the 21st century, more and more post-90s young people gradually entered the workplace and became a new force that cannot be ignored. However, because of this group's unique group character, living environment, and employment concept, the turnover rate after 90 is generally higher, to a certain extent, increasing the cost of enterprises to bringing new challenges to the management of enterprises. This article uses a needs assessment study with two goals：1）to identify the priority needs of organizational factors in terms of a.) work values; b.) job satisfaction; organizational commitment; c) and d.) adaptiveness to change. 2）to propose a set of organizational development interventions according to the priority needs. This study used a semi-structured questionnaire with fixed options and open questions to collect data from interviewers. Data analysis and synthesis programs include descriptive statistics and content analysis. The actual sample was 193 respondents who completed the questionnaire, and 181 out of 193 respondents provided qualitative advice in the Open Questions section. Based on the main survey results of quantitative and qualitative data, and according to this, the corresponding OD intervention measures are put forward to provide a helpful reference for enterprises to reduce the turnover rate of employees after 90. This study found that, personalized on-the-job training, Fair pay distribution, Human enterprise atmosphere and Occupational adaptability can influence employees' turnover tendency