scholarly journals Influencing Factors of Cross-Border E-Commerce Consumer Purchase Intention Based on Wireless Network and Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Chun-Wei Lu ◽  
Gu-Hong Lin ◽  
Tzu-Jung Wu ◽  
I.-Hsiang Hu ◽  
Yuan-Chieh Chang
Keyword(s):  
Machine Learning ◽  
International Trade ◽  
Wireless Network ◽  
Influencing Factors ◽  
Purchase Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
High Tech ◽  
Cross Border ◽  
Consumer Purchase Intention

In recent years, with the continuous development of Internet technology and the deepening of economic globalization, cross-border e-commerce has become a new international trade model and an important growth point of foreign trade. With the popularity of international trade, domestic consumers have a deeper understanding of foreign products and brands and willingness to purchase, but at this stage, cross-border e-commerce transactions are not as close to domestic online shopping, and a few have business opportunities. PortUnity is the first among overseas consumers and some avant-garde consumers with a sense of consumption. Most people have not yet reached real cross-border e-commerce, so cross-border e-commerce has broad development potential on a global scale. As a high-tech field, cross-border e-commerce has few relevant theories and literature. Therefore, this article aims to explore the influencing factors of consumer purchase intention of cross-border e-commerce based on a wireless network and machine learning and to provide decision support for the management and operation of e-commerce in order to promote the better development of cross-border e-commerce. This article analyzes the influencing factors of consumers' intention in cross-border e-commerce shopping by combining literature research and empirical research. With the support of wireless networks and machine learning, perceptual-based ease of use and perceived usefulness of the original TAM, the individual influencing factors of cross-border e-commerce consumers' purchase intention and e-commerce platform factors are summarized according to the characteristics and technology acceptance model of cross-border e-commerce. In this questionnaire survey, the author fully explored the survey value of each respondent, and all the 100 questionnaires were successfully recovered, with a 100% utilization rate of data. The research results of this article show that in addition to the originally perceived usefulness and perceived ease of use, consumers' income level, education level, age, gender, service, safety index and price of cross-border e-commerce platform, and other factors also affect the cross-border consumption frequency of consumers.

The Influence of Patents on Purchase Intention Through the Technology Acceptance Model

2020 ◽  
Vol 17 (04) ◽  
pp. 2050024
Author(s):  
Yu-Hsin Chang ◽  
Kuei-Kuei Lai ◽  
Ming-Chung Yang ◽  
Ya-Ting Hsu
Keyword(s):  
Technology Acceptance ◽  
Purchase Intention ◽  
Internal Variable ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
High Tech ◽  
Perceived Ease Of Use ◽  
External Variable ◽  
Technology Products ◽  
Acceptance Model

This study aims to apply the TAM in a situation where the customers have not purchased and utilized the products. To achieve its purpose, this study adopts the perceived reliability as an internal variable, and the patent as an external variable. In the context of various levels of technological content and familiarity of consumers with technology products, this study explores whether patents give the technological image to consumers before they use a specific technology will enhance their perceived reliability, perceived usefulness, and perceived ease of use and purchase intentions. The results showed that when consumers have a low level of familiarity with high-tech products, products labeled with relevant patent information will increase consumers’ awareness of reliability, usefulness, ease of use, and purchase intention.

The Influence of Social Media on Young Consumers’ Purchase Intention During Global Pandemic

2021 ◽  
Vol 1 (1) ◽  
pp. 9-13
Author(s):  
Yeow Jian Ai ◽  
Cheah Chew Sze ◽  
Yeo Sook Fern ◽  
Cheang Yu Wan
Keyword(s):  
Social Media ◽  
Significant Relationship ◽  
Purchase Intention ◽  
Movement Control ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Performance Expectancy ◽  
Global Pandemic ◽  
Consumer Purchase Intention

The year 2020 was undoubtedly going down in history as one of the worst years ever due to the Covid-19 pandemic. Many countries around the world were forced to impose a total lockdown, and this situation occurred again in early June 2021 in Malaysia. Many countries were in their 2nd wave or 3rd wave of lockdown, which caused several restrictions such as movement control, the limit of travel or inter-states. Many businesses were affected. Some big corporations were forced to shut down their productions, lay off, and causing huge numbers of unemployment in the country. There were several news reported that Malaysia’s retails faced bad financial losses and even wave a ‘white flag’ campaign to strike for help from the public. However, instead of begging for help, retailers or businesses should adapt to a new channel and accepting to a more sophisticated computerized operation and diversify into electronic (e-retails) or mobile retails (m-retails) via social media. This study aims to study the causes of young consumer purchase intention using social media during the global pandemic. There are five main variables being studied. The five factors, such as perceived ease of use, perceived usefulness, performance expectancy, interactivity, and intention to express empathy, were selected and analyzed using SPSS Software. This study concluded that perceived ease of use, perceived usefulness, and interactivity have a significant relationship with young consumer purchase intention using social media, while performance expectancy and intention to express empathy have not significant relationship with young consumer purchase intention. This study benefits newly operate SMEs or existing SMEs as they can provide better marketing through social media in order to sustain their businesses.

scholarly journals Using PLS-SEM Model to Explore the Influencing Factors of Learning Satisfaction in Blended Learning

2021 ◽  
Vol 11 (5) ◽  
pp. 249
Author(s):  
Chun-Hsiung Huang
Keyword(s):  
Blended Learning ◽  
Influencing Factors ◽  
Structural Equation ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning Motivation ◽  
Perceived Ease Of Use ◽  
Learning Satisfaction ◽  
The Relationship

This research explores the influencing factors of learning satisfaction in blended learning. Three dimensions are proposed: perceived usefulness, perceived ease of use, and learning motivation. It studied how these variables affect students’ learning satisfaction. The research hypotheses are: (1) Perceived ease of use positively affects perceived usefulness; (2) Perceived usefulness and perceived ease of use will have a positive effect on learning motivation; (3) Learning motivation positively affects learning satisfaction; (4) Perceived usefulness has a positive intermediary effect on the relationship between perceived ease of use and learning motivation. Participants included 173 freshmen who took the first-year interactive game design course at Ling Tung University in Taichung, Taiwan. The questionnaire survey method is applied in this research to analyze the relationship between the variables and verify the hypothesis based on the collected 173 valid questionnaires. The partial least square method structural equation model (PLS-SEM) is used to carry out structural equation modeling to study the relationship between latent variables. It explains that the perceived ease of use affects the perceived usefulness. Perceived usefulness and perceived ease of use have a positive impact on learning motivation. Learning motivation has a positive impact on learning satisfaction. Perceived usefulness as an intermediary factor of perceived ease of use has an indirect impact on learning motivation. The contribution of this research is to provide empirical evidence and explain what factors may affect learning satisfaction. Some other related factors that may affect learning satisfaction should be taken as the factors that teachers should pay attention to when implementing blended learning.

scholarly journals Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study

2021 ◽  
Vol 45 (4) ◽  
Author(s):  
Stefanie Jauk ◽  
Diether Kramer ◽  
Alexander Avian ◽  
Andrea Berghold ◽  
Werner Leodolter ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mixed Methods ◽  
Technology Acceptance ◽  
Health Care Professionals ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Actual System ◽  
System Use ◽  
Delirium Management

AbstractEarly identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. The aim of this study was to evaluate user acceptance of an already implemented machine learning-based application predicting the risk of delirium for in-patients. We applied a mixed methods design to collect opinions and concerns from health care professionals including physicians and nurses who regularly used the application. The evaluation was framed by the Technology Acceptance Model assessing perceived ease of use, perceived usefulness, actual system use and output quality of the application. Questionnaire results from 47 nurses and physicians as well as qualitative results of four expert group meetings rated the overall usefulness of the delirium prediction positively. For healthcare professionals, the visualization and presented information was understandable, the application was easy to use and the additional information for delirium management was appreciated. The application did not increase their workload, but the actual system use was still low during the pilot study. Our study provides insights into the user acceptance of a machine learning-based application supporting delirium management in hospitals. In order to improve quality and safety in healthcare, computerized decision support should predict actionable events and be highly accepted by users.

scholarly journals PENDEKATAN TAM DALAM LAYANAN GO-MASSAGE PADA APLIKASI GO-JEK

2018 ◽  
pp. 869
Author(s):  
Ni Putu Wulan Widasari ◽  
I Made Wardana ◽  
Putu Yudi Setiawan
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Risk Perceptions ◽  
Purchase Intention ◽  
Risk Attitude ◽  
Sampling Technique ◽  
Theoretical Implication ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use

ABSTRACT The meaning of this research wants to explain the effect of perceived ease of use, perceived usefulness, and perceived risk towards attitude and purchase intention of Go-Massage on Go-Jek application. The population of this study is not limited (infinite) which is the user Go-Jek application in Denpasar. The sample in this study was taken with non-probability sampling technique with 120 respondents. The result shows that perceived ease of use and perceived of usefulness have positive and significant effect towards attitude. Furthermore, the results of the study also showed a positive and significant effect of perceived usefulness and attitude towardspurchase intention. Conversely, risk perceptions have a negative and significant effect on attitude and purchase intention. The theoretical implication of this research is that this research reinforces the attitude theory especially the Technology Acceptance Model proposed by Davis (1989). Practical implications are useful for companies to explore the construct which gives significant effect towards purchase intention.  In the future, the company should focus more on perceived usefulness to encourage customer’s purchase intention towards Go-Massage service offered on Go-Jek application Keywords: TAM, Perceived Ease of Use, Perceived Risk, Attitude, and Purchase Intention

scholarly journals Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model

2020 ◽  
Vol 17 (5) ◽  
pp. 1501 ◽  
Author(s):  
Jie Zhao ◽  
Jianfei Wang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Purchase Intention ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Health Related ◽  
Short Video ◽  
Acceptance Model

The rapid development of short-video social network platforms provides us with an opportunity to conduct health-related advertising and recommendation. However, so far, there are no empirical evidence on whether users are willing to accept health-related short-video advertisements. Here, acceptance refers to purchase intention, meaning that users will read short-video ads, share ads with others, or even open the product link embedded in ads to purchase the product. In this paper, we make the first attempt to model and quantify user acceptance of health-related short-video advertisements. Particularly, we propose a new research model that enhances the Technology Acceptance Model (TAM) with two new designs. First, we propose four new antecedents including social interaction, intrusiveness, informativeness, and relevance into the original TAM to reflect the features of short-video social networks. Second, we introduce two mediator variables including perceived usefulness and attitude so that we can better study how different factors affect user acceptance of health-related short-video ads. We perform a survey on the Internet and conduct an empirical analysis of the surveyed data. The results show that the four antecedents as well as the perceived ease of use have significant influences on perceived usefulness, attitude, and purchase intention. Further, perceived usefulness plays a valid mediating role in attitude and purchase intention. We also found that users’ perceived ease of use on health-related short-video ads cannot significantly predict users’ attitudes toward ads. This is a new finding in social media-oriented ads. Finally, we integrate the empirical findings and present reasonable suggestions for advertisers and marketers to promote health-related short-video ads.

scholarly journals The influence of trust, perceived usefulness, perceived ease of use, and attitude on purchase intention

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Rahmiati Rahmiati ◽  
Indri Ilma Yuannita
Keyword(s):  
Purchase Intention ◽  
Total Sample ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
The Future

This research aims to analyzed: (1) The effect of Trust on Attitude, (2) The effect of Trust on Purchase Intention, (3) The effect of Perceived Usefulness on Attitude, (4) The effect of Perceived Usefulness on Purchase Intention, (5) The effect of Perceived Ease of Use on Attitude (6) The effect of Perceived Ease of Use on Purchase Intention and (7) The effect of Attitude on Purchase Intention. The type of this research is causative research. The total sample of this research was 151 people by using questionnaire. The result of research shows that (1) Trust has significant effect on attitude (2) Trust has significant effect on purchase intention (3) Perceived Usefulness has no significant effect on attitude (4) Perceived Usefulness has significant effect on purchase intention (5) Perceived Ease of Use has significant effect on attitude (6) Perceived Ease of Use has significant effect on purchase intention and (7) Attitude has significant effect on purchase intention. The conclusions are Trust, Perceived Usefulness and Perceived Ease of Use have significant effect on purchase intention. For the future research it is better to explore more about variable that can influence purchase intention.Keywords: Trust; perceived usefulness; perceived ease of use; attitude; purchase Intention

scholarly journals Revealing the Influential Factors Driving Social Commerce Adoption

10.28945/4438 ◽  
2019 ◽  
Vol 14 ◽  
pp. 295-324 ◽  
Author(s):  
Ahmad Samed Al-Adwan
Keyword(s):  
Purchase Intention ◽  
Service Providers ◽  
Positive Influence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Model ◽  
Social Commerce ◽  
Perceived Ease Of Use ◽  
Technical Factors ◽  
Post Purchase

Aim/Purpose: This study aims to identify the main factors influencing consumers’ adoption of social commerce (s-commerce). Based on the socio-technical theory, the study suggests a research model that investigates the key social and technical factors driving consumers’ decision to purchase from social commerce websites. In addition, the research model explores the interactive relationship among these factors. Background: The phenomenon of social commerce (s-commerce) has emerged due to the increased penetration of social media and the rapid development of Web 2.0 technologies. Electronic commerce (e-commerce) companies have made significant efforts to shift their operations to s-commerce. Therefore, to facilitate their efforts to transform, various research has been conducted to investigate the main factor influencing the adoption of s-commerce. Most of these studies have emphasised the social aspects related to s-commerce design features to understand how the use of advanced web technologies influence how customers interact with each other in s-commerce environments. However, s-commerce is viewed as a socio-technical system that requires the investigation of both social and technical factors to help in the design of effective s-commerce platforms. Methodology: To validate the proposed research model, 418 paper-based and online questionnaires were collected from online shoppers in Jordan. The Structure Equation Modelling (SEM) approach was used to test the proposed hypotheses. Contribution: This study offers a research model that serves as a theoretical framework for investigating customers’ behaviour in s-commerce environment. It represents a strong context-specific model that includes both the technical and social facilitators of s-commerce. The research model participates in gaining an improved understanding of how customers’ intention, actual purchase and post-purchase experience are formed in the s-commerce environment. Findings: The results of Structure Equation Modelling (SEM) reveal that s-commerce constructs, familiarity and user experience have a positive influence on the perceived usefulness and perceived ease of use of s-commerce. In addition, perceptions of its usefulness and ease of use have a positive influence on trust, which in turn influences the purchase intention and the actual purchase. Finally, the post-purchase experience significantly influences both trust and purchase intention. Recommendations for Practitioners: This study shows that social commerce constructs strengthen customers’ perceptions of usefulness. S-commerce service providers are required to provide their customers with various channels to seek social support. Both familiarity and user experience are key enablers of customers’ perceived ease of use. S-commerce service providers consider the variation in customers’ familiarity and experience with s-commerce websites because this has a significant influence on purchase intentions and behaviour. Consequently, system designers should offer useful and sufficient information and tutorials that effectively guide customers in their searching, decision-making and purchasing activities throughout the shopping process. S-commerce service providers should understand the importance of providing secure payment systems and make their privacy policies clear to customers. Post-purchase experience has an influential role in reinforcing customers’ trust and purchase intention. The findings confirm the important role of post-purchase experience in retaining customers by improving their trust and repurchase intention. Therefore, making a customer’s post-purchase experience pleasant should be a key priority for s-commerce service providers because it has a significant influence on customers’ trust and repurchase intentions. Recommendation for Researchers: This study offers a unidimensional conceptualisation of the design features of s-commerce. These features include three main forms: recommendations and referrals, communities and forums, and reviews and ratings. Such conceptualisation provides additional insights and an understanding of the activities of information sharing in s-commerce. The significance of the technical side of s-commerce is highlighted and empirical proof is provided that social interactions guided by social technologies enhance customers’ perceived usefulness of an s-commerce website, thus increasing their trust and intention to purchase which leads to an actual purchase. This offers insights into the various types of s-commerce characteristics that contribute to facilitating customers’ purchase behaviour on s-commerce websites. Impact on Society: The findings offer insights which have important implications for research and practice to help facilitate the adoption of s-commerce. Future Research: This study considered the s-commerce websites as a homogenous online environment. Additional research could collect data from diverse online communities, such as professional groups, to provide a comprehensive understanding of how a wider variety of user behaviour is affected. Second, this was a quantitative study based on data collected in a questionnaire. Further studies may consider using qualitative or mixed methodologies (i.e. focus groups and interviews) to explore other technical and social factors that influence the use of s-commerce.

scholarly journals Factors Affecting Online Purchase Intention: Effects of Technology and Social Commerce

2018 ◽  
Vol 11 (10) ◽  
pp. 111
Author(s):  
Jayani Chamarika Athapaththu ◽  
D. Kulathunga
Keyword(s):  
Sri Lanka ◽  
Purchase Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Social Commerce ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
Internet Technologies ◽  
Online Purchase ◽  
Website Content

With the rapid development of information communication technologies and enhanced Internet penetration, the nature of a consumer’s daily activities has changed and most offline activities have migrated towards online activities. Moreover, customers have shown a greater tendency to shift to online activities from their traditional offline activities. In this light, e-commerce transactions in Sri Lanka are expected to grow in the near future. Apart from traditional Internet technologies, a variety of new social commerce activities has started influencing the behavior of customer activities including the online purchasing. Even though the impact of traditional Internet technologies on purchase intention of customers has been examined by many researchers, the same has not been examined adequately in relation to social commerce related activities. Therefore, this study is aimed at identifying the factors affecting online purchase intention of customers from both the technological and social commerce perspective. The theoretical model developed in the study was empirically tested through survey of 292 MBA students from two leading universities and a prominent institute in Sri Lanka. Structural Equation Modeling (SEM) was used to analyze the data. The study revealed that online purchase intention positively and significantly related with perceived usefulness, perceived ease of use, website content and trust. Moreover, it was identified that trust has a full mediation effect between perceived ease of use and purchase intention as well as between website content and purchase intention. Further, it was found that trust has a partial mediation between perceived usefulness and purchase intention.

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