scholarly journals Factors influencing trust and behavioral intention to use Airbnb service innovation in three ASEAN countries

2020 ◽  
Vol 14 (2) ◽  
pp. 175-188
Author(s):  
Evelyn Lim Chua ◽  
Jason Lim Chiu ◽  
Candy Lim Chiu
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Quantitative Methods ◽  
Business Models ◽  
Service Providers ◽  
Sharing Economy ◽  
The Philippines ◽  
Intention To Use ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose The sharing economy is described as a community marketplace, particularly home sharing such as Airbnb, which is more prevalent. Airbnb changed the way renters and tourists find places to stay when they are traveling. The company introduced innovations in business models and technologies. So, Airbnb requires specific factors that will influence consumers’ trust because consumers intuitively seek out trusting factors to make judgments on innovative service providers. Thus, the purpose of this study is to understand the factors that influence travelers’ trust to use Airbnb within the three ASEAN nations. Design/methodology/approach The data were collected from both qualitative and quantitative methods. The questionnaire was the main data-gathering instrument used in this study and supplemented by informal interviews. A self-administered questionnaire was provided to 130 Airbnb users from the Philippines, Indonesia and Singapore using Hayes’ Process Macro as the statistical tool. Findings The correlation test was carried out to determine the strength and relationships among the independent, mediating and dependent variables. All independent variables are positively correlated with the mediating variable. The results reveal that ease of use, convenience, information social influence, normative social influence and security have a significant impact on trust and behavioral intention to use Airbnb. Originality/value This study contributes to the field of sharing economy, particularly home sharing, by examining different factors that influence trust and behavioral intention. This study focused on the case of Southeast Asian consumers, so this study is useful for marketing practitioners to enhance their marketing strategies in catering to this segment of the market.

scholarly journals Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines

2017 ◽  
Vol 11 (2) ◽  
pp. 246-278 ◽  
Author(s):  
Jason Lim Chiu ◽  
Nelson C. Bool ◽  
Candy Lim Chiu
Keyword(s):  
Behavioral Intention ◽  
The Philippines ◽  
Demographic Variables ◽  
Mediating Effect ◽  
Intention To Use ◽  
Mobile Banking ◽  
Initial Trust ◽  
Banking Services ◽  
Content Type ◽  
Behavioral Intention To Use

PurposeThis paper aims to assess the direct effects of antecedents of initial trust, the mediating effect of trust and the moderating effect of demographic variables on non-adopters’ behavioral intention to use mobile banking. Design/methodology/approachThe study tested the models of theory of reasoned action and theory of planned behavior to evaluate potential antecedents of trust (diffusion of trust, infrastructure quality, perceived costs, privacy and security) moderators (demographic variables) and mediators (initial trust) that will influence behavioral intention to use mobile banking. The Hayes’ Process Macro developed by Andrew F. Hayes (2013) was used as a statistical analysis in SPSS to estimates the path coefficients using multiple regression. The tool provides insights on the direct and indirect effect of the independent variable on the dependent variable through the existence of moderating variables and mediation variables. FindingsThe results show that the non-adopters of mobile banking asserted that the antecedents of initial trust played a significant influence on behavioral intention to use online banking services. Originality/valueThere is a dearth of literature addressing mobile banking in the Philippines. The first initial trust formation in internet banking using computer workstations and laptops in the Philippines was conducted by Chiu et al. (2016). This research fills in the gap by expanding and formulating a deeper understanding of the antecedents of initial trust that influence consumer behavioral intention that might be responsible for the slow diffusion of mobile banking services in the country. The results from this study will help financial institutions create a beneficial connection with consumers while alleviating the fears of non-adopters and enhancing their understanding of the benefits of mobile banking.

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.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

Factors influencing the acceptance of private and public blockchain-based collaboration among supply chain practitioners: a parallel mediation model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gayathri Giri ◽  
Hansa Lysander Manohar
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mediating Effect ◽  
Intention To Use ◽  
Content Type ◽  
Private And Public ◽  
Behavioral Intention To Use

Purpose Drawing inspiration from the organizational information processing theory, the technology acceptance model (TAM) and the theory of motivation, this study aims to examine the acceptance of private and public blockchain technology-based collaboration among supply chain practitioners. Design/methodology/approach A total of 257 samples were collected through a survey from supply chain practitioners. The study used parallel mediators of perceived usefulness (extrinsic motivation) and perceived ease of use (intrinsic motivation) to measure behavioral intention to use. Findings The results reveal that partial mediation exists between blockchain-based collaboration (private and public) and behavioral intention to use. For perceived usefulness, a stronger mediating effect was found between private blockchain-based collaboration and behavioral intention to use. For perceived ease of use, a stronger mediating effect was found between public blockchain-based collaboration and behavioral intention to use. Originality/value By integrating insights from the organizational information processing theory, the TAM and the theory of motivation, this study provides an in-depth understanding of how the distinct features of information processing in blockchain technology-based collaboration influence the supply chain practitioners’ to accept it. The novelty and results of the study expand the existing literature and pave the way for future research.

Smartphone Alcohol Use Disorder Recovery Apps: an Survey of Behavioral Intention to Use using UTAUT (Preprint)

2021 ◽  
Author(s):  
Rijuta Menon ◽  
Julien Meyer ◽  
Pria Nippak ◽  
Housne Begum
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Alcohol Use Disorder ◽  
Survey Study ◽  
P Value ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

BACKGROUND Alcohol Use Disorder (AUD) carries a huge health and economic cost to society. Effective interventions exist but numerous challenges limit their adoption, especially in a pandemic context. AUD recovery apps (AUDRA) have emerged as a potential complement to in-person interventions. They are easy to access and show promising results in terms of efficacy. However, they rely on individual adoption decision and remain underused. OBJECTIVE The aim of this survey study is to explore the beliefs that determine the intention to use AUDRA. METHODS We conducted a cross-sectional survey study of people suffering from AUD. We used the Unified Theory of Acceptance and Use of Technology, which predicts use and behavioral intention to use based on performance expectancy, effort expectancy, social influence and facilitating conditions. Participants were recruited directly from two sources: first, respondents at addiction treatment facilities in Ontario, Canada were contacted in person and filled a paper form; second, members from AUD recovery support groups on social media were contacted and invited to fill an online sruvey. The survey was conducted between October 2019 and June 2020. RESULTS The final sample was comprised of 159 participants (124 online and 35 paper based) self-identifying somewhat or very much with AUD. Most participants (85.5%) were aware of AUDRA and those participants scored higher on performance expectancy, effort expectancy and social influence. Overall, the model explains 35.4% of the variance in behavioral intention to use AUDRA and 11.1% of the variance in use. Social influence (p-value 0.314), especially for women (p-value 0.227) and effort expectancy (p value 0.247) were key antecedents of behavioral intention. Facilitating conditions was not significant overall but was moderated by age (p value 0.231) suggesting that it matters for older participants. Performance expectancy did not predict behavioral intention, which is unlike many other technologies but confirms other findings with mhealth. Open-ended questions suggest that privacy concerns may play a significant role for AUDRA. CONCLUSIONS This study suggests that unlike many other technologies, the adoption of AUDRA is not mainly determined by utilitarian factors such as performance expectancy. Rather, effort expectancy and social influence play a key role in determining the intention to use AUDRA.

Why Are Filipino Consumers Strong Adopters of Mobile Applications?

2015 ◽  
pp. 236-245 ◽  
Author(s):  
Donald L. Amoroso ◽  
Ricardo Lim
Keyword(s):  
Mobile Applications ◽  
Behavioral Intention ◽  
The Philippines ◽  
Ease Of Use ◽  
Mobile Technologies ◽  
Intention To Use ◽  
Key Factors ◽  
Personal Innovativeness ◽  
Research Questions ◽  
Behavioral Intention To Use

In this chapter, the authors study factors such as ease of use and personal innovativeness in order to understand the consumer adoption of mobile technologies in the Philippines in order to build on existing adoption theories for academics and make recommendations to practitioners. The research questions include: (1) What key factors drive adoption of mobile technologies by Filipino consumers? (2) How are Filipino mobile consumers personally innovative in their use of mobile technologies? The authors surveyed 725 mobile Filipino consumers. The resulting linear regression model shows a significant amount of variance explained for behavioral intention to use mobile applications. Personal innovation had a strong statistical impact on both attitude toward using and behavioral intention to use.

Librarians' attitudes towards mobile services

2013 ◽  
Vol 65 (4) ◽  
pp. 358-375 ◽  
Author(s):  
Noa Aharony
Keyword(s):  
Technology Acceptance ◽  
Web Sites ◽  
Behavioral Intention ◽  
Smart Phone ◽  
Mobile Services ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Behavioral Intention To Use

PurposeThe purpose of this paper is to explore whether librarians are familiar with technological innovations and are ready to accept them. The objectives are: to what extent does the Technology Acceptance Model (TAM) explain librarians' perceptions of mobile services (m‐services); and to what extent do differences in gender, age, workplace, role, and smart phone use explain librarians' perceptions of m‐services?Design/methodology/approachThe research was conducted in Israel during the first semester of the 2012 academic year. It encompassed three groups of Israeli librarians: academic, public, and special. Researchers used two questionnaires to gather data: a personal details questionnaire, and a mobile technology questionnaire.FindingsThis study supported the two core variables model (perceived ease of use and usefulness) of TAM that may predict librarians' behavioral intention to use m‐services in the library. However, it added two more components to the model: personal innovativeness and smart phone usage.Practical implicationsLibrary directors may try to implement more m‐services on their web sites. These services should be simple, attractive, and efficient. They should also try to expose librarians to the benefits and ease of use of m‐services.Originality/valueThe findings emphasize the importance of the TAM that may predict librarians' behavioral intention to use m‐services in the library and may lead to further research in this field.

scholarly journals Analysis of Factors Affecting Behavioral Intention to Use E-Learning Uses the Unified Theory of Acceptance and Use of Technology Approach

2020 ◽  
Author(s):  
Ramllah . ◽  
Ahmad Nurkhin
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Learning Intention ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use ◽  
Descriptive Statistical Analysis

The purpose of this study isto analyze the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creadibility, and anxiety on e-learning behavioral intention to use who are moderated by experience and voluntariness of use.The study population was 215 students who used e-learning in the Accounting Department of SMK N 1 Karanganyar. The sample selection using Slovin method with an error rate of 5% and sampling area technique obtained by respondents as many as 140 students. The technique of collecting data using a questionnaire. Data analysis techniques used descriptive statistical analysis and SEM-PLS. Data analysis tool using WarpPLS 5.0.The results of the descriptive statistical analysis show that the behavioral intention to use e-learning, performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creativity, anxiety, experience and voluntariness of use are in the sufficient category. Hypothesis test results show the influence of performance expectancy on e-learning behavioral intention to use, effort expectancy does not affect the behavioral e-learning intention to use, social influence has an effect on behavioral e-learning intention to use, facilitating conditions have no effect on behavioral intention to Using e-learning, perceived creativity does not affect e-learning behavior, anxiety influences the behavioral intention to use e-learning, voluntary moderating negative social influences the behavioral e-learning intention to use, experience moderates the effect of effort expectancy on The behavior of e-learning intention to use, experience does not moderate the influence of social influence on the behavioral e-learning intention to use, experience does not moderate the effect of facilitating conditions on e-learning behavioral intention to use e-learning the conclusion of this study states that of the ten hypotheses proposed there are five types of hypotheses accepted. Keywords: E-learning, Behavioral Intention, UTAUT.

scholarly journals Technology renewal, user resistance, user adoption: status quo bias theory revisited

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anuragini Shirish ◽  
Leslie Batuekueno
Keyword(s):  
Human Resource ◽  
Behavioral Intention ◽  
Switching Cost ◽  
Status Quo ◽  
Status Quo Bias ◽  
Intention To Use ◽  
Content Type ◽  
User Resistance ◽  
User Adoption ◽  
Behavioral Intention To Use

PurposeThe article provides a conceptual replication and enrichment of the status quo bias theory in the specific context of understanding IT department user resistance and user adoption. The findings can assist technology renewals and associated change management professionals to assess and plan the adoption and active usage of human resource systems.Design/methodology/approachThe authors used survey method to gather data. All items were based on prior literature. They administrated the survey to employees of GOODTECH (name changed), information systems (IS) department members, situated in France. They obtained 103 valid responses along with usage data from the system to run their path model, in order to validate the proposed research model.FindingsThe study offers an enriched user resistance model (URM) to understand why IT-savvy employees would resist or adopt new human resource tools. Apart from providing partial validity to status quo bias theory in the French context, the enriched model uses behavioral intention to use as an intermediate variable to explain the influence of two key constructs of the original theory: switching cost and switching benefits. This research provides a better explanatory power to understand the cause of user resistance and new IT use.Research limitations/implicationsThe sample size used in the study can be considered as a limitation, although power analysis reveals that the results are significant and valid. The context of the study is also limited to one country and to a specific type of IS implementation scenario. Since the purpose of the paper was to offer contextual theory enhancement, the findings are valid for this purpose.Practical implicationsDigital project managers are offered a framework to increase technology adoption of new human resource tools and evaluate how to reduce user resistance at times of technology renewals. Self-efficacy for change and colleagues’ opinion can indirectly impact behavioral intention to use via switching cost and switching benefit perceptions and thus reducing resistance perceptions as well as increasing adoption of new IT tools in post-implementation phases.Originality/valueThe paper enriches the well-established user resistance theory in IS domain in a context of human resource post-implementation phase by studying IT-savvy end user's perceptions. The paper demonstrates the need to integrate user adoption and user resistance variables in one parsimonious framework and extends support to emerging research on dual focus perspective.

scholarly journals THE ANALYSIS ON FACTORS INFLUENCING THE USE OF MOBILE PAYMENT SYSTEM AMONG GENERATION Z IN BEKASI CITY

2021 ◽  
Vol 3 (9) ◽  
pp. 334-348
Author(s):  
Zxavian Zebadia Simorangkir ◽  
Kurnia Fajar Afgani
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Online Survey ◽  
Mobile Payment ◽  
Intention To Use ◽  
Mobile Payments ◽  
Generation Z ◽  
Perceived Security ◽  
Behavioral Intention To Use ◽  
The Impact

The topic of the factors that influence the usage of Mobile Payments is not to be overlooked, given the rise in the use of Mobile Payments in recent years. The goal of this study is to identify the factors that have a major impact on users' use of mobile payment instruments. The study was carried out with the help of an online survey questionnaire, which was distributed to 414 people. The impact of performance expectancy, effort expectancy, social influence, trust, and perceived security on the behavioral intention of mobile payment usage was investigated in this study. This study used a quantitative approach, with Generation Z as the unit of analysis, and the respondents from Bekasi as the target population. Two of the criteria have a significant relationship with the behavioral intention to use the mobile payment instrument, according to the research. Based on the result of this study, it can be seen that perceived security has the most influence on the behavioral intention to use mobile payment, followed by social influence.

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