Evaluating participants' customer citizenship behaviors using an Internet charity platform

2020 ◽  
Vol 48 (6) ◽  
pp. 1-15
Author(s):  
Lanying Du ◽  
Xiumei Li ◽  
Fan Chen ◽  
Yi Feng
Keyword(s):  
Nonprofit Organizations ◽  
Online Survey ◽  
Positive Impact ◽  
Citizenship Behavior ◽  
The Internet ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Customer Citizenship Behavior ◽  
The Impact

We revealed the mechanism of customer citizenship behavior through an Internet charity platform by examining the validity of the unified theory of acceptance and use of technology (UTAUT). We introduced trust in, and interactivity of, the Internet charity platform to develop a model based on the UTAUT, and conducted an online survey with 302 participants in China. The results show that performance expectancy and effort expectancy had a positive impact on reparticipation intention, which led to an increase in customer citizenship behavior, on which facilitating conditions also had a significant positive impact. Further, trust in the Internet charity platform moderated the influence of performance expectancy and effort expectancy on reparticipation intention, and the interactivity of the Internet charity platform promoted the impact of facilitating conditions on customer citizenship behavior. Practical implications for managers of nonprofit organizations are discussed.

scholarly journals Ascendants That Influence the Adoption of E-government Services among Citizen of Pakistan

2019 ◽  
Vol 9 (2) ◽  
pp. 72
Author(s):  
Ali Hammad ◽  
Intikhab Ahmad ◽  
Syed Muhammad Sikander ◽  
Md Amjad Hossain Reyad ◽  
Syed Mazahir Kazmi
Keyword(s):  
Theory Of Planned Behaviour ◽  
Positive Impact ◽  
Cross Sectional ◽  
Government Services ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Total Data ◽  
Facilitating Conditions ◽  
The Impact ◽  
The Relationship

In this research study, the author seeks to discover the predecessors of e-government services adoption among the citizen of Pakistan. To study the e-government adoption, researcher integrates extended TAM and theory of planned behaviour. Cross-sectional research technique was used and in total data was collected from 240 citizens of Pakistan. Results depict that facilitating conditions, performance expectancy, effort expectancy positively impact the citizen attitude towards adoption of e-government facilities. As well as, facilitating conditions as a positive impact on society and individual computer self-efficacy which helps in building citizen attitude.Furthermore, the researcher studies the impact of government trust as a moderator to test the relationship between attitude and adoption of e-government services. Results show that government trust dampens down the relationship between attitude and e-government adoption. To the conclude results SEM technique was used using AMOS-21.

scholarly journals Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon

2016 ◽  
Vol 11 (2) ◽  
pp. 299 ◽  
Author(s):  
Ra'ed (Moh'd Taisir) Masa'deh ◽  
Ali Tarhini ◽  
Ashraf Bany Mohammed ◽  
Mahmoud Maqableh
Keyword(s):  
Social Influence ◽  
Learning Systems ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Positive Effects ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions ◽  
The Impact

<p>This study seeks to explore the factors that influence students’ usage behaviour of e-learning systems. Based on the strong theoretical foundation of the TAM, UTAM and using structural equation modeling (SEM) via AMOS 20.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student’s behavioural intention, which is later examined along with facilitating conditions on student’s usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student’s behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student’s usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student’s behavioural intention.</p>

scholarly journals Factors that influence the use of the Internet for job-seeking purposes amongst a sample of final-year students in the Eastern Cape province of South Africa

2017 ◽  
Vol 15 (0) ◽  
Author(s):  
Juliet R. Chiwara ◽  
Willie T. Chinyamurindi ◽  
Themba Q. Mjoli
Keyword(s):  
The Internet ◽  
Intention To Use ◽  
Eastern Cape ◽  
Job Seekers ◽  
Job Seeking ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Managerial Implications ◽  
Use Of The Internet ◽  
Facilitating Conditions

Orientation: Organisations are turning to the Internet in search for talent. A constituency often targeted are those students nearing the end of their tenure of study who are making a transition into the working world. Given this, it is important to understand not only those factors that influence the use of the Internet within the Human Resources (HR) talent search process, but also how such factors relate to actual intent to apply for jobs.Research purpose: Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study investigates factors that influence the adoption of the Internet for purposes of job seeking.Motivation for the study: Calls have been made for research that investigates factors that influence the intention to use the Internet to apply for jobs in developing countries such as South Africa.Research approach, design and method: The study used the quantitative approach (relying on a survey) to test the hypotheses into factors that influence the use of Internet for the purpose of job seeking amongst a sample of 346 prospective job seekers in their final year of study at a South African university.Main findings: Through correlation and regression analysis, findings reveal a positive relationship to exist between (1) performance expectancy with intention to use the Internet to apply for jobs, (2) effort expectancy with intention to use the Internet to apply for jobs, (3) individual effort expectancy and performance expectancy and (4) individual trust and the intention to use the Internet for job seeking. However, no relationship was found to exist between facilitating conditions and intention to use the Internet for job seeking.Practical/managerial implications: The findings magnify the role of salient factors in the intention to use the Internet for job-seeking purposes. Efforts from applicants, universities, recruitment agencies and organisations, potentially, have an effect on the intention to use the Internet for job-seeking purposes. Such efforts may enhance the students’ online experience and minimise problems that accompany technology adoption for the purposes of recruitment. Findings from this research may help enhance the online recruitment experience both from the end-user and recruiter perspective.Contribution/value-add: The study contributes to the recruitment literature in three ways: Firstly, UTAUT is shown to be a useful framework to explain final-year, job-seeking students’ intention to use the Internet to apply for jobs. Furthermore, the findings illustrate the value of the UTAUT as a model useful in enhancing understanding on intentions. Secondly, the study places focus on the human factor rather than facilitating conditions as important issues regarding intention to use the Internet to apply for a job. Finally, based on these findings, future angles of research that have academic and practitioner implications are proposed.

scholarly journals UNIFIED THEORY OF ACCEPTANCE USE OF TECHNOLOGY (UTAUT) AND ITS APPLICABILITY TO MORTGAGE BANKING DIGITIZATION: THE CASE OF THE PHILIPPINES

2019 ◽  
Vol 4 (14) ◽  
pp. 47-60
Author(s):  
Dave T. Morales ◽  
Fernando L. Trinidad
Keyword(s):  
Behavioral Intentions ◽  
The Philippines ◽  
Innovative Technology ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The Impact ◽  
The Way

The advent of technology has influenced the way banks should conduct their business. People are becoming more conscious, more discerning and more critical with the way how businesses should provide efficient, fast, and convenient access to their products and services. And banks are not exempted from these expectations. There has been a steady surge of innovative technology that will help banks deliver more efficient services through digitization. This study was conducted to investigate the determinants of the behavioral intentions on the acceptability of the bank’s digital mortgage service from the perspective of 250 mortgage clients who are current or prospective users of digital mortgage service. The study was anchored from the Unified Theory of Acceptance Use of Technology (UTAUT). The research has found that the determinants of behavioral intention to accept digital mortgage device among mortgage clients were facilitating conditions, performance expectancy and effort expectancy. It was also revealed that based on the standardized beta coefficients, facilitating conditions (0.405), performance expectancy (0.383) and effort expectancy (0.134) had a significant influence on bank mortgage clients’ behavioral intentions to accept digital mortgage service. Additionally, it was also proven that the age, education, computer knowledge and internet knowledge of the mortgage clients moderate the impact of the three determinants: performance expectancy, effort expectancy and social influence on clients’ digital mortgage service acceptance. Lastly, it can be concluded that performance expectancy is directly related to internet time, frequency of product purchase using a mobile device and use of mobile banking.

Evaluating the Effects of Facilitating Conditions and Usage Experience on Mobile Payment

2021 ◽  
Vol 13 (4) ◽  
pp. 88-106
Author(s):  
Ling Long Tsai
Keyword(s):  
Online Survey ◽  
Mobile Payment ◽  
Research Model ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
And Performance ◽  
Facilitating Conditions ◽  
Major Factors ◽  
The Relationship

The following research attempts to investigate the determinants influencing consumers' intention to adopt mobile payment (MP). The research model was adapted based on three constructs from the unified theory of acceptance and use of technology (UTAUT), including performance expectancy, effort expectancy, and facilitating conditions in the research model. In addition, usage experience was also added to the model to test for moderating effect. An online survey conducted through Taiwanese chat rooms resulted in 348 valid responses, which were analyzed using Smart PLS. Results indicated that (1) effort expectancy, performance expectancy, and facilitating conditions were three major factors influencing intention to use mobile payment; (2) facilitating conditions played a significant role in impacting effort expectancy and performance expectancy; (3) usage experience positively moderated the relationship between facilitating conditions and performance expectancy; and (4) usage experience also positively moderated the relationship between facilitating conditions and effort expectancy.

Factors affecting attendees continued use of mobile event applications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Bulent Ozturk ◽  
Wei Wei ◽  
Nan Hua ◽  
Ruoxi Qi
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Positive Impact ◽  
Study Data ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Practical Implications

Purpose Based on the unified theory of acceptance and use of technology (UTAUT2), the purpose of this study was to examine users’ continued usage intention of mobile event application (MEA) technology. Design/methodology/approach A self-administered online survey was used to collect the study data from 407 MEA users, and structural equation modeling was used to test the study’s hypotheses. Findings The study’s results revealed that users’ continued usage behavior was positively influenced by effort expectancy, performance expectancy, habit, facilitating condition and perceived security. The study’s results further indicated that personal innovativeness had a positive impact on effort expectancy and performance expectancy. Practical implications The findings of the current study deliver important practical implications for event organizers and event technology vendors for identifying factors affecting MEA users’ continued usage intention. Originality/value By extending UTAUT2, the current study is one of the first studies that examined users’ intention to continue to use MEA technology.

Engaging m-commerce adopters in India

2019 ◽  
Vol 32 (1) ◽  
pp. 191-210 ◽  
Author(s):  
Shweta Pandey ◽  
Deepak Chawla
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Content Delivery ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Perceived Enjoyment ◽  
Facilitating Conditions ◽  
Adoption Level ◽  
The Impact

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.

scholarly journals Towards a cashless society: Use of electronic payment devices among generation Z

2022 ◽  
Vol 6 (1) ◽  
pp. 137-146 ◽  
Author(s):  
Raden Aswin Rahadi ◽  
Yunieta Anny Nainggolan ◽  
Kurnia Fajar Afgani ◽  
Mohd Yusoff Yusliza ◽  
Juhari Noor Faezah ◽  
...  
Keyword(s):  
Social Influence ◽  
Credit Card ◽  
Future Research ◽  
The Internet ◽  
Online Transactions ◽  
Actual Usage ◽  
Performance Expectancy ◽  
Generation Z ◽  
Effort Expectancy ◽  
Facilitating Conditions

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.

FAKTOR YANG MEMPENGARUHI BEHAVIOR INTENTION UNTUK PENGGUNAAN APLIKASI DOMPET DIGITAL MENGGUNAKAN MODEL UTAUT2

2020 ◽  
Vol 25 (2) ◽  
pp. 111-122
Author(s):  
Aries Andrianto
Keyword(s):  
Sem Analysis ◽  
Electronic Money ◽  
Analysis Techniques ◽  
Behavior Intention ◽  
The Past ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Positive Effect ◽  
Digital Wallet

Based on Bank Indonesia data, electronic money transactions have grown rapidly in the past 10 years. Throughout 2018, the volume of electronic money transactions was 2.92 billion transactions, growing 16,600 times compared to 2009.This study aims to analyze the factors that influence interest in using the LinkAja digital wallet using the UTAUT 2 method. The object of this study is the LinkAja digital wallet user who is domiciled in Jakarta. The independent variables examined in this study were Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, and Habit on Behavior Intention using PLS-SEM analysis techniques. The results of this study indicate that Price Value has a positive effect on Behavior Intention.

scholarly journals Investigating the Determinants of Students’ Intention to Use Business Simulation Games

2019 ◽  
Vol 58 (2) ◽  
pp. 433-458 ◽  
Author(s):  
Yu-Yin Wang ◽  
Yi-Shun Wang ◽  
Shi-En Jian
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Intention To Use ◽  
Business Simulation ◽  
Simulation Games ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students’ BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students’ behavioral intention to use BSGs. These findings enhanced our understanding of students’ BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

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