Purpose Live streaming commerce refers to the fact that people receive live audio and live video directly over the net. While some e-retailers use Live Streaming as a marketing strategy, the impact of live streaming commerce on customers' reuse intentions is unknown. The purpose of this study is to discuss the impact of live streaming commerce by external environmental factors based on S-O-R theory. Design/methodology/approach In this study, we developed a research model based on the S-O-R theory. Using the questionnaire survey method, consumers who used live streaming commerce on Taobao.com were taken as research subjects. Our research model aims to find out how content attributes, real-time interactions, media characteristics, and situational characteristics as stimulus factors influence consumers' perceptions and thus reuse intentions. Findings The results of the analysis show that external environmental factors have a significant impact on consumer perceptions and that perceived risks and flows can influence consumers' reuse intentions. In addition, we also examined the impact of reuse intentions on consumers' active participation. These results show that live streaming commerce can influence consumer perceptions and behavior in several ways.
The objective of this paper is to gain a better understanding of factors influencing digital piracy and the use of paid services on the web. A model identifying and describing various factors which affect decision$\sim$makers' attitude toward sharing digital products and online behavioral intentions is constructed based on established theories of human behavior. The relationship between the continuous intention of sharing the products and the intention to use online services is also discussed. Findings show that a independent relationship exists between illegal and legal behaviors, which means stopping piracy by individuals can not lead to their buying of the products. Also while the attitude toward piracy was significantly related to the continuous intention of piracy behaviors, did not necessarily lead to the use intention of online services. The data also show that beliefs concerning consequences of digital piracy were significant enough to alter one's behavioral attitude. There was a significant relationship between perceived consequences and the intention to pirate digital products or to use paid services. The results also show that while the effect of economical and ethical factors were ascertained, that of social and legal factors have not been found. Self$\sim$efficacy has a moderating effect on the relationship between the attitude toward piracy and both intentions of online behavior. The implications of the findings to research and practice are discussed.
This study was trying to find the differences of the levels of e-commerce system satisfaction and a relationship between system satisfactions and behavioral intention to use e-commerce system continuously. Based on the previous studies, we identified the factors of system satisfaction that were consist of system readiness, accuracy, content, ease of use, timeliness and IT Support. The system satisfaction levels of martial status and the training status of hospitals had significant differences. In martial status, un-married managers had higher levels of ease of use and timeliness than the married. In this result, we might consider an age effect for younger persons are more likely to use IT and have more satisfaction perceptions. Rather than training hospitals, non-training hospitals had higher level of ease of use and IT support, which could be interpreted as e-commerce systems of training hospitals might not match their own managerial purposes and need an improvement of their system functionalities. This study also identified that the factors of system satisfaction has a relationship with behavioral intentions. Except accuracy and IT support of all six system satisfaction factors, four factors were significantly correlated with system usage intentions in their e - commerce works.
Purpose - This study analyzes the effect of customers' perceived service innovativeness of service centers for electronic goods, on repurchase intentions of customers, using behavior intentions of service centers as a mediator variable. In customer management and customer relationship marketing, service centers can be the most representative customer relationship management departments because they are most closely placed at the interface with customers. In addition, this study intends to investigate if continuous relationship with customers during one-time product-selling can affect their repurchase intentions. Specifically, this research aims to investigate if the expansion of the saturated physical market of the manufacturing business, to intangible service markets, can be competitive enough to satisfy customer needs. Research design, data, and methodology - This study targets college students, and especially those who have computers, digital cameras, or cell-phones, and often use electronic products and services. In order to investigate our hypothesis, we analyzed dates through SEM (structural equation modeling) using SPSS for Windows 18.0 and AMOS 18.0. In addition, we measured Cronbach's α coefficient using SPSS for Windows 18.0 in order to measure reliability. Further, using AMOS 18.0, this research statistically measured convergent validity as well as discriminant validity, and examined mediation models and path models in which service innovativeness leads to customers' repurchase intentions of electronic products. Results - As a result, this research shows that customers' perceived service innovativeness of service centers for electronic goods has significant positive influence on customers' behavior intentions of service centers. In addition, service innovativeness of electronic goods' service centers also has significant positive influence on repurchase intentions of customers. Conclusion - This study investigates the effect of customers' positive relation with the innovativeness of electronic service center on their behavior intention and product repurchase. The more concrete, important results of the study are as follows. Through the mediating effect, the findings of the study suggest that customers' behavior intentions of service centers partially mediate the effect of customers'perceived service innovativeness of service centers for electronic goods on customers' repurchase intentions. This research also provides an insight that the importance of service innovativeness and innovative approaches in managing customers should be recognized in the process of repurchase and service roles of manufacturing business as a way for customer management. As a result, the relationship between customer satisfaction and service quality of service centers for the electronic products is very sensitive. Although previous studies focus on certain aspects of the case for enhancing service innovation (Kim, 2012), this research recommends that the service centers need to understand the customers'desire first and try to adapt to achieve customer satisfaction by being innovative. This innovativeness of service centers would make customers visit them consistently, which in the long run, will also influence their repurchase decisions.
To infer the true state of a regional product's attributes, consumers use the image they have of the product's region of origin; however, products may have multiple countries of origin in their design, branding, sourcing and manufacturing becuase more products are increasingly a result of multi-firm and multi-country efforts. We examined how the country-of-origin image (country image and product image) affect international consumers' perceived value (function value and symbolic value) and purchase intentions of made-in China goods by extending and deepening the flexible model. Second, to investigate the differences of COO effects according to different types of country-of-origin we divided the traditional country-of-origin into two components: country-of-manufacture (COM) and country-of-brand (COB). We then explore how the impact of China's country image on consumers' perceived value and purchase intentions varies when China is the COM or COB of the same product. Six hypotheses were proposed to test our anticipations. We recruited 800 Korean adult consumers who previously purchased made-in China products to participate in the online investigation. Data analyses were conducted with confirmatory factor analysis and structural equation modeling using SPSS and AMOS. The main results are discussed as follows. First, the effects of China's COO image on Korean consumers' perceived value and purchase intentions vary when China is the COM or COB of a product. Second, a positive effect of the function value and symbolic value on the purchase intentions was found. Literature and practical implications of findings are discussed and suggested in the conclusion.
The purpose of this study is to investigate the influence of benefit sought and service quality of the travel show visitors who are used as advertisements of tourism companies due to increase of tourism on the behavioral intentions and to use as a useful information to plan travel show. For this study, 240 visitors from Hanatour International Travel Show are selected. And 203 valid questionnaires are analyzed. With collected materials, SPSS 17.0, AMOS 7.0 program was used to verify research problems. As a result, travel show visitors' benefit sought don't have any influence on the behavioral intentions to revisit and to recommend. Second, travel show visitors' service quality have a positive influence on the behavioral intentions to revisit and to recommend. Thus travel show host should try hard to make travel show be an important tourism resource by continuous improvement of service quality.
Purpose Despite the recent increase in the use of selection tools using artificial intelligence (AI), far less is known about the effectiveness of them in recruitment and selection research. Design/methodology/approach This paper tests the impact of AI-based initial screening and interview on intentions to apply. We also examine the moderating role of individual difference (i.e., reliability on technology) in the relationship. Findings Using policy-capturing with undergraduate students at a large university in South Korea, this study showed that AI-based interview has a negative effect on intentions to apply, where AI-based initial screening has no effect. These results suggest that applicants may have a negative feeling of AI-based interview, but they may not AI-based initial screening. In other words, AI-based interview can reduce application rates, but AI-based screening not. Results also indicated that the relationship between AI-based initial screening and intentions to apply is moderated by the level of applicant's reliability on technology. Specifically, respondents with high levels of reliability are more likely than those with low levels of reliability to apply for firms using AI-based initial screening. However, the moderating role of reliability was not significant in the relationship between the AI interview and the applying intention. Employing uncertainty reduction theory, this study indicated that the relationship between AI-based selection tools and intentions to apply is dynamic, suggesting that organizations should carefully manage their AI-based selection techniques throughout the recruitment and selection process.
Objective: This study was performed to compare knowledge of and expectations for traditional medicine between Korean, Chinese and Taiwanese, to figure out whether these factors influence the intention to use traditional medical treatment in the future. Methods: One-hundred ninety-nine Korean, eighty-five Chinese, and one-hundred seventy-four Taiwanese subjects responded to the survey. A one-way ANOVA was performed to compare experiences of traditional medical treatment, knowledge of both traditional medicine and western medicine, expectations for traditional medicine, and future intention to use traditional medical treatment. Multiple regression analyses were also performed to evaluate a possible correlation between the other factors and the intention to use traditional medical treatment in the future. Results: The experiences of traditional medical treatment were in the order of Taiwanese, Korean, and Chinese, from more frequent to less frequent. Chinese had more knowledge of traditional medicine compared to Taiwanese and Koreans, and the expectations for traditional medicine were in the order of Chinese, Korean and Taiwanese, from higher to lower. The intentions to use traditional medical treatment in the future were in the order of Korean, Chinese and Taiwanese, from more to less. Multiple regression analyses showed that experiences of traditional medical treatment, knowledge of traditional medicine, and expectations for traditional medicine were associated with the intention to use traditional medicine in the future in Korean and Taiwanese, but not in Chinese. Only the expectations for traditional medicine were associated with the future intentions to use traditional medical treatment in Chinese. Conclusions: These findings suggest that Korean and Taiwanese may need to improve their knowledge of traditional medicine whereas Chinese need to link their knowledge of traditional medicine with the intention to use it in the future. Understanding the characteristics of traditional medicine would probably contribute to enhancing the intentions to use it more.
Journal of Agricultural Extension & Community Development
/
v.15
no.4
/
pp.659-681
/
2008
The purpose of this study is to empirically analyze factors that influence farm managers' intentions to use an agricultural farm management information systems. It focused on "LFcenter System," a leading information system operated by the Rural Development Administration for farm management. Participants of this study are classified into two groups: a group of leading farm managers and a group fo regular farm managers. A total of 192 survey samples on users' intentions are collected; 85 samples from leading farm managers and 107 from regular farm managers. The theoretical background of this study is developed based on Theory of Reasoned Action(TRA), Technology Acceptance Model(TAM), Diffusion of Innovation(DOI), Social Cognitive Theory(SCT), and Theory of Planned Behavior(TPB). Partial Least Squares(PLS) method is used to test a proposed Structural Equation Model(SEM), including nine hypotheses. The differences between two groups are investigated using Smith-Satterthwait test. The findings from this study are: First of all, in terms of average comparison of most variables used in this study, a group of leading farm managers shows higher value that the other group in most cases. Second, hypothesis tests how that "subjective norms", "goal to study", "perceived usefulness", "perceived enjoyment", and "intention to use" significantly influence the intention to use an agricultural management information system in the group of leading farm managers. However, "subjective norms", "goal to study", "perceived ease of use", "perceived usefulness", "perceived enjoyment", and "intention to use" turned out to significantly influence the intention to use an agricultural management information system in the group of regular farms managers. Based on the results of Smith-Satterthwait test, compared with a group of leading farms managers, the impact of "goal to study" on "intention to use" is significantly stronger. On the other hand, in the group of leading farms managers, "perceived usefulness" and "perceived enjoyment" turned out to be main drivers of "intention to use."
Kim, Gwon-Il;Jung, Ga Yeon;Song, Ye Ji;Park, Jee-Sun
Journal of Fashion Business
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v.19
no.6
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pp.112-126
/
2015
In social environments, hashtags have been widely adopted and have become a new form of language for users. The current study attempts to enhance our understanding of users and their motivations to use hashtags when posting fashion-related information. Specifically, this study examines whether user characteristics (fashion leadership, conspicuousness) influence their motivations to use hashtags (curation, self-presentation, information diffusion), which then leads to behavioral intentions to continue to use hashtags and recommend the same to others. An online survey was administered to test our research questions. A total of 136 consumers in their 20s, 30s, and 40s living in Korea were used for data analysis. Structural equation modeling was conducted, which revealed that fashion leadership and conspicuousness had a positive impact on users' motivations of curation, self-presentation, and information diffusion. Motivations of self-presentation and information diffusions were found to affect users' behavioral intentions while curation had no significant impact. Practical implications are presented.
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