Factors Influencing the Intention of International Students to Shop Online in China

2020 ◽  
Vol 16 (3) ◽  
pp. 20-41
Author(s):  
Isaac Kofi Mensah

This article explores the factors for determining the intention of international students to shop online in China. The data for this study was acquired through a questionnaire. The UTAUT was used as the theoretical framework for this study and the data analysis was conducted using SPSS. The results indicated that while performance expectancy was significant in influencing the intention to shop online, effort expectancy does not. Also, while social influence does not determine the intention to shop online, it was however significant in predicting trust in the Internet. Furthermore, perceived risk, internet self-efficacy, and culture were all significant predictors of the intention to shop online. Perceived service quality and trust in the Internet were not significant determinants of the intention to shop online. The implications of these and other findings of this study are discussed.

Author(s):  
Isaac Kofi Mensah

This study integrated culture (language) and perceived service quality into the UTAUT model to explore the intention of international students to order food online in China. The results have demonstrated that performance expectancy, effort expectancy, culture (language), and perceived service quality were all significant predictors of the intention of international students to order food online. Also, culture (language) was determined to influence the perceived service quality, effort expectancy, and performance expectancy of ordering food online. Performance expectancy, and effort expectancy were revealed to be significant predictors of perceived service quality. Furthermore, the intention to order food online was a determinant of the intention to recommend. The implications of these findings are discussed.


2021 ◽  
Vol 13 (14) ◽  
pp. 7671
Author(s):  
Wenjuan Li

This research particularly aims to investigate how trust and perceived risk influence citizens’ e-government adoption. The findings of the study reveal that citizens’ trust of the government (TOG) and trust of the internet (TOI) positively affect citizens’ e-government adoption (EGA); perceived risk (PR) is negatively associated with citizens’ EGA. Interestingly, this study also demonstrates the negative moderating effect of PR on the relationship between TOG and EGA, TOI and EGA. The results also indicate that performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitation conditions (FC) influence citizens’ EGA positively. Lastly, implications for practice and research are discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodele Samuel Adegoke ◽  
Timothy Tunde Oladokun ◽  
Timothy Oluwafemi Ayodele ◽  
Samson Efuwape Agbato ◽  
Ahmed Ademola Jinadu

PurposeThe study analysed the factors influencing real estate firms' (REFs) decision to adopt virtual reality (VR) technology using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. This was done to enhance the practice of real estate agency in Nigeria.Design/methodology/approachData were elicited from eight real estate experts. These experts were heads of the agency department of firms that had been in existence for a minimum of five years in the Lagos property market. The data analysed in this study were collected with the aid of a questionnaire.FindingsThe result revealed that use intention was influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and UB. Also, facilitating conditions, habit and use intention did not influence use behaviour. Overall, six constructs, which include price value (Ri − Cj value = 0.1284), use behaviour (Ri − Cj value = 0.0666), social influence (Ri − Cj value = 0.0583), facilitating conditions (Ri − Cj value = 0.0323), performance expectancy (Ri − Cj value = 0.0196) and effort expectancy (Ri − Cj value = 0.0116), were significant predictors of the factors influencing the decision of REFs to adopt VR. Of these constructs, the Ri − Cj values indicated that price value had the highest causative influence.Practical implicationsThe result of this study will bring REFs to the consciousness of the factors that could affect their adoption of VR technology. This study will also assist the Nigerian Institution of Estate Surveyors and Valuers in appropriately enlightening REFs on the integration of VR technology into the agency practice especially at this time when all health protocols and guidelines need to be observed to help flatten the curve of the Covid-19 pandemic.Originality/valueThis study is the first to have an insight into the analysis of the factors influencing REFs' decision to adopt VR technology using the DEMATEL method.


2019 ◽  
Vol 3 (5) ◽  
pp. 614-627
Author(s):  
Nauval Nurvian Mugni ◽  
Brady Rikumahu

Flazz merupakan e-money yang diciptakan oleh bank BCA. Jumlah pengguna Flazz dari tahun ke tahun meningkat, namun faktanya jumlah transaksi Flazz masih minim apabila dibandingkan dengan alat elektronik lainya. Selain itu tingkat awareness e-money di Kota Bandung masih minim dibandingkan dengan Jakarta, Medan, dan Semarang. Tujuan penelitian ini adalah untuk mengetahui faktor yang mempengaruhi niat perilaku penggunaan Flazz di Kota Bandung dengan menggunakan Model UTAUT yang dimodifikasi oleh penelitian Abrahao et al pada tahun 2016. Metode penelitian ini adalah metode kuantitatif, teknik analisis data yaitu teknik analisis deksriptif menggunakan SEM-PLS dengan 400 sampel.   Hasil yang didapat yaitu performance expectancy, effort expectancy, dan social influence berpengaruh positif dan signifikan terhadap behavioral intention. Perceived risk berpengaruh negatif dan signifikan terhadap behavioral intention dan perceived cost berpengaruh negatif namun tidak signifikan terhadap behavioral intention pada pengguna Flazz e-money di Kota Bandung.


2021 ◽  
Vol 34 (4) ◽  
pp. 28-47
Author(s):  
Isaac Kofi Mensah ◽  
Yijun Liu ◽  
Chuanyong Luo

Mobile payments have revolutionized and modernized the way payment transactions are completed. The acceptance of mobile payments is vital to eCommerce. This study explored the factors influencing the continued acceptance of WeChat mobile payments by a cross-section of vendors in the city of Ganzhou, China. A questionnaire was administered to 500 vendors with a response rate of 81%. The results show that performance expectancy and trust fostered the continued acceptance of WeChat mobile payments. However, while effort expectancy was significant in predicting the level of trust in WeChat mobile payments, it did not significantly influence their continued acceptance. Social influence, facilitating conditions, and trust in WeChat mobile payments were all significant predictors of the continued acceptance of WeChat mobile payments.


2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.


2019 ◽  
Vol 32 (1) ◽  
pp. 191-210 ◽  
Author(s):  
Shweta Pandey ◽  
Deepak Chawla

PurposeThe purpose of this paper is to identify the impact of factors derived from the unified theory of user acceptance of technology (performance expectancy, effort expectancy, social influence, facilitating conditions, age, gender) and of those drawn from literature (perceived risk, perceived enjoyment and innovativeness) on the adoption of m-commerce in India. It also suggests implications of these for the consumer behavior theory practitioners and marketers.Design/methodology/approachData were collected using an online survey from 321 respondents, split into two groups (high and low adoption level users) based on the usage scores of the four categories of m-commerce- location-based, transaction-based, entertainment and content delivery. Logistic regression technique was used to identify the prominent factors among the nine identified influencers to understand the differences between the two groups.FindingsThe findings of this paper are sample biasness, self-reported m-commerce adoption level, limited m-commerce categories and specific context.Research limitations/implicationsExcept the two factors of performance expectancy and facilitating conditions, all other variables discriminate between low and high adoption levels of m-commerce services in India. Social influence, perceived enjoyment and innovativeness were the three main factors that were found to have the most significant impact on the discrimination levels of m-commerce service users in India. Further, it was found that women and the younger generation users of m-commerce showed a greater propensity for adopting m-commerce practices.Practical implicationsMarketers need to focus on key factors like social influence, perceived enjoyment, perceived risk and effort expectancy to persuade the young and innovative consumer target groups increase their adoption of m-commerce services.Originality/valueThis is the first study of its kind to explore factors that distinguish users with low and high levels of m-commerce adoption, by taking into consideration all four categories of m-commerce (transaction-based, content delivery, location-based and entertainment). In doing so, it highlights the need for marketers to focus on factors beyond facilitating conditions and performance expectancy, to enhance the adoption of m-commerce practices.


2022 ◽  
Vol 6 (1) ◽  
pp. 137-146 ◽  
Author(s):  
Raden Aswin Rahadi ◽  
Yunieta Anny Nainggolan ◽  
Kurnia Fajar Afgani ◽  
Mohd Yusoff Yusliza ◽  
Juhari Noor Faezah ◽  
...  

Nowadays, transactions on e-commerce platforms (e-payment) utilizing a credit card are popular. Using credit cards for electronic purchases over the Internet is much different from offline purchases in traditional stores; only online transactions do not include either physical credit card or a signature. The e-payment has become a common mode of payment for online transactions made. It is an electronic billing system that gives clients the ability to make payments using the Internet. The objective of this paper was to analyze the associations among continuance intention e-payment, effort expectancy, facilitating conditions, performance expectancy, social influence, and actual usage of e-payment. The data was tested empirically on data collected from 667 Generation Z e-payment users in Malaysia. The results found that facilitating conditions, performance expectancy, and social influence impacted the actual usage of e-payment. Surprisingly, effort expectancy was not significantly associated with the actual e-payment usage. The findings of this study have several implications for managers and point the way towards future research. No prior empirical study has investigated the role of the Unified Theory of Acceptance and Use of Technology model on e-payment usage among Generation Z in Malaysia to the best of the authors’ knowledge. These results provide valuable contributions that can help decision-makers formulate or adjust their strategies associated with e-payments.


2021 ◽  
pp. 231971452110526
Author(s):  
Akansha Mer ◽  
Amarpreet Singh Virdi

The rationale of this research is to analyse and observe the factors that persuade millennials’ acceptance, adoption and usage of e-banking services in the banking industry in India. This research used primary data gathered from millennials in India. The sampling technique used is judgment sampling. Statistical analysis is conducted using structural equation modeling. The study’s findings indicate that effort expectancy, trust, social influence, performance expectancy and perceived risk are the factors that impinge on millennials’ behavioural intention of e-banking. The study suggests that effort expectancy, trust, social influence and performance expectancy posit a positive association with the e-banking behavioural intention of millennials in India. On the contrary, perceived risk is in a negative association with the e-banking behavioural intention of the millennials. The study makes a novel contribution to the literature with reference to India, being a pioneer attempt to investigate the factors that affect e-banking acceptance by millennials in Indian banks by extending UTAUT with perceived risk and trust. The present study contributes to the literature on e-banking adoption in India by highlighting that trust plays a crucial role in Indian millennials’ intention to adopt e-banking technology in high-power distance country like India.


Author(s):  
Natalia Limantara ◽  
Jevan Jovandy ◽  
Anindya Khansalihara Wardhana ◽  
Steven Steven ◽  
Fredy Jingga

The goal of this research is to assess the utilization of one of Indonesia's most popular digital wallets. Respondents in this study range in age from 15 to 44 years old and live on Java Island. The author employs the unified theory of acceptance and utilization of technology (UTAUT) paradigm to assess the use of this digital wallet. This UTAUT model comprises four latent variables that affect behavioral intention (BI) and use behavior (UB): performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC). In this study, the UTAUT model is combined with two additional variables: perceived risk (PR) and promotional benefits (PB). According to the findings, performance expectancy, social influence, and perceived risk all have an impact on behavioral intention, whereas effort expectancy has a less impact. Furthermore, the factors facilitating conditions and promotional benefits have a minor impact on use behavior, whereas behavioral intention factors have a considerable impact on use behavior.


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