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    Factors Influencing Behavioral Intention of Online Learning in the Post-Covid Pandemic: A Case Study of a Primary School in Chengdu, China

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    Purpose: This research aims to determine influencing factors of primary school students’ behavioral intention to use online learning in the post-epidemic in Chengdu, China. The conceptual framework contains perceived ease of use, perceived usefulness, attitude, habit, social influence, perceived behavioral control and behavioral intention. Research design, data, and methodology: Population and sample size are 450 parents of students who have been experiencing online learning at least one semester in one of a top primary school in Chengdu, China. The sample techniques used were judgmental, quota, and convenience samplings. Before the data collection, the results of index of item objective congruence (IOC) and Cronbach’s Alpha coefficient values were approved. Afterward, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were applied to measure validity, reliability, goodness of fit and hypotheses testing. Results: Perceived ease of use significantly influences perceived usefulness and attitude. Perceived usefulness has a significant influence on attitude. Attitude and perceived behavioral control significantly influence behavioral intention. Nevertheless, habit and social influence had no significant influence on behavioral intention of online learning among primary school students. Conclusions: Students were isolated and banned from physical classroom due to the spread of the virus, therefore, the Chinese government carried on the education as well as use online education to solve the imbalance for Chinese students via online learning during to post-epidemic

    An Exploration of Problem-Solving Style through the lens of Psychological Climate, Cognitive Style and Idea Style Measures

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    There is a growing interest in a more inclusive conception of the activity of the ‘change process’ (person, product, process and press) particularly the aspects of the creative sub-process concerned with person and product. The variables Cognitive style and Idea style, have a common heritage that is rooted in a dichotomy concerned at one end with ‘adaption’ (improvements) while at the other end with ‘innovation’ (novelty). These characteristics have been used to describe the ‘creative concept’ where to date the emphasis has been on the pole concerned with ‘innovation continuum’. The pole is hence also concerned with adaption, but while the pole being a necessary and central aspect of both variables has nevertheless received relatively little attention.  In this study, the primary objective was therefore to evaluate the coherence of Kirton’s ‘cognitive style’ measure of adaptive – innovative behavioural preferences with the measures of Idea styles.  Therefore, another related objective was to evaluate the relationship between the cognitive style and ‘psychological climate’, consisting of ideas generated and problems identified as sub-components. The results show the ‘innovative pole’ of cognitive style is significantly related to both innovative idea style and the quantity of ideas generated (it is also explicitly supported by the facets of the personality variable ‘openness’). However, while a negative relationship between cognitive style and the adaptive style of ideas is a central aspect of Kirton’s cognitive style theory, no significant negative relationship was found. Instead, the adaptive style of ideas has a positive relationship to a factor within the measure of psychological climate or ‘the opportunity to contribute to change’. These findings position Kirton’s cognitive style measure as primarily in the domain of ‘personality’ and only partially coherent with the domain of ‘idea style’ the latter a carrier, rather than ‘a component of style’. Furthermore, while the variables of cognitive style and psychological climate show no significant relationship, they provide differential support to the ‘first two stages’ of the change process

    Cultivating Cultural Intelligence (CQ) through Experiential learning-based English Instruction at Beijing Polytechnic

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    The study aims to cultivate students’ cultural intelligence (CQ) through experiential learning-based English instruction. The author used convenience sampling of her 2 teaching classes 53 students as the participants of the study. One class with 26 students was assigned to the experimental group and the other class consisting of 27 students was assigned to the control group. The author used quantitative methods: the Cultural Intelligence Scale (CQS) and a semi-structured interview (20 items) based on the CQS to collect data. The Scale’s creators had done the validity test of the CQS, therefore, the author only did the reliability test of the whole Scale consisting of four parts of the four dimensions of the CQ , and got Cronbach α of  0.886, 0.837,0.742, 0.777, and 0.824 respectively. Data collected from the experimental group were analysed after OD intervention and compared with the control group, which showed that the CQ development of the experimental group was higher than the control group. Since the pre-ODI and post-ODI data of the experimental group was not normally distributed, so the author used Wilcoxon Signed-rank test which required to use median to analyse the data. Since the data was not normally distributed, the author used the mean (average) of the media to compare the increase range of CQ in the experimental and the control class. Data showed that he experiential-learning based English instruction helped cultivate the 4 dimensions of CQ, more in the experimental class than those in the control class

    Understanding the Relationship Between Trade Show Motivational Attributes, Trade Show Participation, and Business Performance

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    This empirical study aims to identify the dimensions of trade show motivational attributes and to examine the relationships between trade show motivational attributes, trade show participation, and business performance. A quantitative approach was applied. Data were collected using a purposive and convenience sample of 501 exhibiting companies participating in various trade shows in Thailand, using online questionnaires. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) were conducted. The findings indicate that new normal activities had the greatest effect on trade show participation, followed by facilitating services, marketing intelligence activities, relationship marketing activities, enhancing corporate image, and commercial selling activities, respectively. Meanwhile, destination appropriateness was found to be insignificant. Findings also revealed that trade show participation had a significant positive effect on business performance. Results from this study can provide guidelines to trade show organizers, convention visitor bureaus, and destination marketers, in developing, supporting, and organizing, successful trade shows. Moreover, the findings will serve as a foundation for a new trade show motivational attribute concept that can be used in further studies.

    Impacts of COVID-19 Non-pharmaceutical Interventions on Trade Flows: A Global Panel Vector Autoregression Analysis

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    The COVID-19 outbreak has contributed to a tremendous global decline in international trade flows. The rapid spread of the disease and the control measures implemented by governments to contain the virus have led to serious consequences for the global economy. The pandemic has affected the international movement of people, goods, and services. Currently, the systematic quantitative research investigating the effects of specific non-pharmaceutical intervention policy clusters on country-level international trade flows, remains limited. In this study, the Panel Vector Autoregression (PVAR) method was conducted using country-level panel data collected from various international sources including the United Nations, World Bank, and University of Oxford. The results show that stringent COVID-19 closure, social distancing, and containment measures and health-related measures, had significant negative impacts on trade flows. In contrast, economic support measures showed significant positive effects on trade. In summary, the findings suggest that policymakers should maintain less stringent containment measures related to public closure and movement restrictions and stimulate economic activities through economic support policies in order to minimize losses in trade flows during the pandemic

    Impacts of the US and China Macroeconomic Indicator Announcements on Cambodia Stock Market

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    This study investigates the impacts of five macroeconomic indicator announcements from the Unit States and China on the volatility of Cambodia Securities Exchange (CSX) index during the period of 2016 to 2021. Generally, it is a well-known fact that a country’s macroeconomic announcement could potentially affect the stock return volatility of another; however, despite decades of research, new small emerging countries remain untouched, unexplored, and may contain new knowledge to learn from. To investigate this subject, E-GARCH model was used as a method to analyze the behavior of volatility of the index upon the releases of selected five unexpected macroeconomic indicator announcements by both the US and China. The findings suggest that CPI, GDP, IP, and BOT announcements released by the US were found to have the greatest influence on the volatility of Cambodia stock index. In comparison, the index reacted only to the announcements related to China’s IP, PMI, and BOT. The contrasting outcomes behavior could be explained by the two countries’ trading relationship with Cambodia, prior research, and issues surrounding the release of China’s macroeconomic announcement

    The Factors that Influencing the Online Purchase Intentions of Furniture through Online Shopping Platforms During the Covid-19 Pandemic in Thailand

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    Purpose – Firstly, this study aims to focus on the customer's online purchase intention of furniture through an online shopping platform which is various in Thailand such as Shopee, Lazada, Facebook marketplace and so on. Secondly, the study measures the factors which can affect the online purchase intention of customers who prefer to shop furniture online which include trust, perceived risk, perceived usefulness, social commerce construct and perceived behavior control during the Covid-19 Pandemic in Thailand. Design/Methodology/Approach – This study used the previous study as reference to conduct the information,  a secondary data analysis from the source and conduct the information as a conceptual framework and state the hypothesis for the research. Findings –  The online purchase intention is defined as customers' conscious plans to acquire a product as a result of a personal process and an evaluative and normative judgment, people will have their perspective by each person and it has many positive relationships with many factors which can change the direction of customer minds. Research Limitations/Implications – The limited time period it is difficult to access the literature paper and there are many ranges of target respondents, the survey's results may be varied, putting the survey's goal at risk of being missed. Originality/value – The furniture seller of an online shopping platform can use this report as a source, insight to manage the process of their product/service and improve on some pain points to propose the appropriate to satisfy customers. Keywords – online purchase intention, trust, perceived risk, perceived usefulness, social commerce construct, perceived behavior control Paper type – Research pape

    An Examination on Online Learning Adoption of Postgraduate Students in Chengdu, China During COVID-19

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    Purpose: Online learning has dramatically increased adoption in the educational sector during the COVID-19 pandemic. This study examines the online learning adoption of college students in Chengdu, China. Technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) incorporates perceived ease of use, perceived usefulness, attitude, social influence, facilitating conditions, behavioral intention, and use behavior. Research design, data, and methodology: The target population is 500 postgraduate students in the top three universities in Chengdu. The sample techniques are purposive, stratified random, convenience, and snowball samplings. The Item Objective Congruence (IOC) Index and the pilot test (n=50) by Cronbach’s Alpha were used to ensure content and construct validity. The data analysis was conducted by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: The findings show that perceived ease of use significantly impacts perceived usefulness. Behavioral intention strongly and significantly impacts use behavior. Behavioral intention is significantly impacted by perceived ease of use, usefulness, attitude, social influence, and facilitating conditions. Conclusions: The virtual classroom has continued in China due to China’s “Zero-COVID” Policy after the decline of health and safety restrictions. Therefore, this study addresses the factors to improve the online learning adoption rate

    Influencing Factors Of Behavioral Intention and Use Behavior of Online Learning Platforms Among Public College Students in Chengdu, Sichuan Province, China

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    Purpose: The rapid development of Internet technology and the rapid popularization of mobile terminals have promoted the vigorous development of online education. Based on the theory of technology acceptance models, his study highlights the factors influencing the behavioral intention and use behavior of Chinese public vocational school students to use online learning platforms. In this framework, the researchers examined social influence, perceived usefulness, perceived ease of use, attitudes, subjective norms, and the relationship between perceived behavioral control and behavioral intention and use behavior. Research design, data, and methodology: This quantitative study employed 500 vocational school students who have been using online learning platforms in Chengdu, Sichuan Province, China. The sampling techniques involve purposive and convenience sampling. IOC validation ensured the content validity and the pilot test (n=30) with Cronbach’s alpha reliability (CA) test results were approved. Statistical analyses were conducted by confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The results showed that social influence, perceived ease of use, perceived usefulness, subjective norms, perceived behavioral control, attitude significantly influence behavioral intention, and usage behavior. Conclusions: Finally, relevant suggestions are made for the improvement and development of online learning platforms in order to increase students’ willingness to use them

    Factors Impacting on Sophomores’ Satisfaction and Loyalty Toward Education Quality in Higher Vocational Colleges in China

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    Purpose: This research paper aims to investigate the key influencers that significantly impact student satisfaction and loyalty toward education quality in higher vocational colleges in Chengdu, China. 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 researcher used the quantitative method (n=500) to distribute questionnaires to sophomore students in higher vocational college. The sampling method includes judgmental sampling in selecting sophomore students at four higher vocational colleges, stratified random sampling is to proportionate total number of students into sample size in each subgroup, and convenient sampling in collecting data and distributing surveys online and offline. The item-objective congruence (IOC) index and Cronbach’s Alpha in pilot study (n=30) was conducted for validity and reliability testing. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were used for the data analysis, including model fit, reliability, and validity of the constructs. Results: The results explicated that reputation, information quality, instructor quality, and perceived value significantly impact satisfaction and loyalty, except for academic aspects. Conclusions: Higher vocational schools should focus on improving information technology, improving students’ professional and practical abilities, and strengthening the timely interaction between students and teacher

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