scholarly journals Technology Acceptance of Grab Mobile Application as Smart Tourism Tools in Bandung City

2020 ◽  
Vol 4 ◽  
pp. 00016
Author(s):  
RR. Adi Hendraningrum ◽  
Brainnanda Kevin Christanta ◽  
Cindiyosi Harits Ramadhani ◽  
Lalu Syafril Rahmadio
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Mobile Application ◽  
Perceived Quality ◽  
Perceived Effort ◽  
Perceived Trust ◽  
Performance Expectancy ◽  
Perceived Performance ◽  
Five Factors ◽  
Effort Expectancy

<p class="Abstract">This research is motivated by a collaboration between the Ministry of Tourism of the Republic of Indonesia and Grab Companies in Indonesia to provide tourism features in Grab Mobile Application. It is hoped that with this collaboration, tourists can use the application to travel and provide benefits. Based on this phenomenon the researcher wants to know how technology acceptance is, by using five factors, namely perceived performance expectancy, perceived effort expectancy, perceived trust, social influence, and perceived quality. This type of research is quantitative research with descriptive statistical research methods. The subjects of this study were 110 users of the Grab mobile application in Bandung. Data collection techniques that are used by researchers is by distributing questionnaires. In this research, we will discuss about 5 UTAUT factors in using the Grab application. The results of the study explained that the five factors show the good category where the perceived performance expectancy factor got score 2131 from 2750 as ideal score, perceived effort expectancy got 1362 from 1650, the perceived trust received 2519 from 3300, social influence got 845 from 1100 and perceived quality got 2854 from 3850. Suggestions regarding the Grab application in this study include intensifying the promotion of the Grab application and its tourism features so that more people are aware of and use the Grab application in tourism activities.&nbsp;<o:p></o:p></p>

scholarly journals Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers (Preprint)

2020 ◽  
Author(s):  
Dong Yang Meier ◽  
Petra Barthelmess ◽  
Wei Sun ◽  
Florian Liberatore
Keyword(s):  
Health Care ◽  
Social Influence ◽  
Technology Acceptance ◽  
National Culture ◽  
Behavioral Intention ◽  
Wearable Devices ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Health Consciousness ◽  
Effort Expectancy

BACKGROUND The advancement of wearable devices and growing demand of consumers to monitor their own health have influenced the medical industry. Health care providers, insurers, and global technology companies intend to develop more wearable devices incorporating medical technology and to target consumers worldwide. However, acceptance of these devices varies considerably among consumers of different cultural backgrounds. Consumer willingness to use health care wearables is influenced by multiple factors that are of varying importance in various cultures. However, there is insufficient knowledge of the extent to which social and cultural factors affect wearable technology acceptance in health care. OBJECTIVE The aims of this study were to examine the influential factors on the intention to adopt health care wearables, and the differences in the underlying motives and usage barriers between Chinese and Swiss consumers. METHODS A new model for acceptance of health care wearables was conceptualized by incorporating predictors of different theories such as technology acceptance, health behavior, and privacy calculus based on an existing framework. To verify the model, a web-based survey in both the Chinese and German languages was conducted in China and Switzerland, resulting in 201 valid Chinese and 110 valid Swiss respondents. A multigroup partial least squares path analysis was applied to the survey data. RESULTS Performance expectancy (β=.361, <i>P</i>&lt;.001), social influence (β=.475, <i>P</i>&lt;.001), and hedonic motivation (β=.111, <i>P</i>=.01) all positively affected the behavioral intention of consumers to adopt wearables, whereas effort expectancy, functional congruence, health consciousness, and perceived privacy risk did not demonstrate a significant impact on behavioral intention. The group-specific path coefficients indicated health consciousness (β=.150, <i>P=</i>.01) as a factor positively affecting only the behavior intention of the Chinese respondents, whereas the factors affecting only the behavioral intention of the Swiss respondents proved to be effort expectancy (β=.165, <i>P</i>=.02) and hedonic motivation (β=.212, <i>P</i>=.02). Performance expectancy asserted more of an influence on the behavioral intention of the Swiss (β=.426, <i>P</i>&lt;.001) than the Chinese (β=.271, <i>P</i>&lt;.001) respondents, whereas social influence had a greater influence on the behavioral intention of the Chinese (β=.321, <i>P</i>&lt;.001) than the Swiss (β=.217, <i>P</i>=.004) respondents. Overall, the Chinese consumers displayed considerably higher behavioral intention (<i>P</i>&lt;.001) than the Swiss. These discrepancies are explained by differences in national culture. CONCLUSIONS This is one of the first studies to investigate consumers’ intention to adopt wearables from a cross-cultural perspective. This provides a theoretical and methodological foundation for future research, as well as practical implications for global vendors and insurers developing and promoting health care wearables with appropriate features in different countries. The testimonials and support by physicians, evidence of measurement accuracy, and easy handling of health care wearables would be useful in promoting the acceptance of wearables in Switzerland. The opinions of in-group members, involvement of employers, and multifunctional apps providing credible health care advice and solutions in cooperation with health care institutions would increase acceptance among the Chinese.

scholarly journals Factors Influencing Purchase Intention of Elancing Using UTAUT Model: A Case Study of Mahajasa

2021 ◽  
Vol 6 (9) ◽  
pp. 563-564
Author(s):  
Hanifah Dwi Adiratna ◽  
Amilia Wulansari
Keyword(s):  
Social Influence ◽  
Purchase Intention ◽  
Positive Impact ◽  
New Technology ◽  
Influential Factors ◽  
Market Mechanism ◽  
Utaut Model ◽  
Perceived Trust ◽  
Performance Expectancy ◽  
Effort Expectancy

Abstract Technology advancements have given rise to a new labor market mechanism known as elancing, where people could purchase freelance services through online sites. Following the trend, Mahajasa as a freelance marketplace startup has to compete with other existing competitors in Indonesia. Established for a year, fluctuating revenue and unknown intention of buying is incurred. Mahajasa aims for SMEs and students across Indonesia. But some recent studies stated that SMEs in Indonesia are reluctant to accept new technology since most marketplaces are in the adoption stage. This study's main objective is Understanding the most influential factors of purchase intention in buying services from freelance marketplace or freelance social media using UTAUT model. The research concluded 386 respondents from Indonesia who had used elancing platforms aged 15-44 years old and analyzed using SmartPLS. The result showed performance expectancy, effort expectancy, social influence, and perceived trust has a positive impact on purchase intention. While perceived trust has a partial mediating role between performance expectancy, effort expectancy, and social influence to purchase intention.

scholarly journals Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110278
Author(s):  
Lingming Chen ◽  
Md. Salamun Rashidin ◽  
Fei Song ◽  
Yi Wang ◽  
Sara Javed ◽  
...  
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Perceived Trust ◽  
Performance Expectancy ◽  
Fresh Food ◽  
Negative Effect

Despite the booming market of fresh food, the fresh e-commerce platform holds only a limited market share, owing to the lack of habitual usage of these platforms. This article explores the determinants of purchase intention when using a fresh e-commerce platform. The integrated technology acceptance model (Unified Theory of Acceptance and Use of Technology [UTAUT]) is employed as the framework. A questionnaire survey was conducted and is analyzed using the structural equation model. We find that both performance expectancy and social influence have a significantly positive effect on consumers’ purchase intention using fresh e-commerce platforms, while perceived risk has a significantly negative effect. Perceived trust plays a mediating role between performance expectancy and purchase intention, social influence and purchase intention, as well as perceived risk and purchase intention. In addition, food safety awareness is a moderator between perceived trust and purchase intention.

Empathic technologies for distance/mobile learning

2017 ◽  
Vol 14 (2) ◽  
pp. 159-180 ◽  
Author(s):  
Pedro Isaias ◽  
Francisco Reis ◽  
Clara Coutinho ◽  
Jose Alberto Lencastre
Keyword(s):  
Distance Learning ◽  
Social Influence ◽  
Technology Acceptance ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions

Purpose This paper examines the acceptance, of a group of 79 students, of an educational forum, used for mobile and distance learning, that has been modified to include empathic characteristics and affective principles. Design/methodology/approach With this study is proposed that the introduction of empathic and affective principles in educational forums is a useful and effective way to increase students’ participation and motivation in educational contexts. After an analysis of existing literature and research on the subject of empathic technology, the unified theory of acceptance and use of technology (UTAUT) was used as a framework for the research model. The analysis of their acceptance is done via an extended version of the UTAUT that focuses on the use of the variable attitude toward technology and uses gender, age and experience as moderators. A partial least square technique has been used to test the nine hypotheses. Findings The results confirmed three of the nine hypotheses: performance expectancy and effort expectancy had a positive influence on the students attitudes towards empathic forums, while the effect of social influence and facilitating conditions was considered insignificant; social influence had a positive influence on the students’ behavioral intention to use emphatic forums, while attitude toward technology, performance expectancy, facilitating conditions and effort expectancy were considered not relevant. Originality/value The focus of this study was the influence of attitude toward empathic forums, used for mobile and distance learning, and the results establish the grounds for future research on attitude as an important determinant of technology acceptance.

scholarly journals Technology Acceptance of Financial Technology (Fintech) for Payment Services Among Employed Fresh Graduates

2021 ◽  
Vol 16 (2) ◽  
pp. 27-58
Author(s):  
Shamsurin Ahmad ◽  
◽  
Sharina Tajul Urus ◽  
Sharifah Nazatul Faiza Syed Mustapha Nazri ◽  
◽  
...  
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Online Survey ◽  
Industrial Revolution ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Payment Services ◽  
Computer Literate ◽  
Financial Technology

The Fourth Industrial Revolution (IR 4.0), which is complementary to the technological revolution, has given birth to Financial Technology (Fintech). Numerous advantages are offered by Fintech, yet the adoption rate is still low. This is especially from the employed fresh graduates’ perspectives that are regarded as the computer literate and IT savvy’s group. This research aims to examine the factors that affect the technology acceptance of Fintech payment services. The research attempts to measure the relationships between performance expectancy, effort expectancy, social influence, facilitating condition and consumers’ trust with the adoption of Fintech. Based upon the Unified Theory of Acceptance and Use of Technology (UTAUT), the quantitative method was employed via online survey of 179 respondents. The result showed that consumers’ trust had the highest impact on the adoption of Fintech payment services, followed by performance expectancy and effort expectancy. In contrast, facilitating conditions and social influence showed an insignificant relationship with the adoption of Fintech payment services. This finding would enhance the awareness for people to become more open towards the acceptance of Fintech for their daily transactions. Fintech companies are expected to develop into more secure services and design better products in becoming a cashless society. Keywords: UTAUT, consumers’ trust, financial technology, Fintech, Fintech payment services adoption, employed fresh graduates

scholarly journals Technology Acceptance In Crowdfunding Among Retailers

2021 ◽  
Vol 39 (5) ◽  
Author(s):  
Mohammed Hariri Bakri ◽  
Mohammed Soleh Md Radzai ◽  
Ahmad Mujahid Mat Rasid
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Independent Variables ◽  
Customer Base ◽  
Descriptive Research ◽  
Performance Expectancy ◽  
Retail Business ◽  
Effort Expectancy ◽  
The Government ◽  
Alternative Finance

Crowdfunding is currently Malaysia's fastest growing source of alternative finance for companies. It is an enticing opportunity for entrepreneurs with innovative ideas who would not otherwise have found capital to leverage the power of the audience to bring goods and projects from the ground. Crowdfunding has traditionally been the go-to funding solution for individuals, startups and entrepreneurs. But more recently, retailers and larger companies have been using crowdfunding as an investment route, market research tool or promotional technique. The obvious attraction of crowdfunding for retailers is that it sidesteps the need to convince a bank or investor you can make their investment worthwhile. But the rewards of the crowdfunding model are not just financial. A crowdfunding campaign can raise awareness of a brand or product, deliver valuable information about demand for a product or service, and create an already established customer base once a campaign is complete. Hence, this research focused on determining the factors that could influence the prospective retailers' intention to collect fund from crowdfunding platform. The research selected the UTAUT model to determine the prospective retailer's intention toward collecting fund to the crowdfunding project. There were four independent variables, namely performance expectancy, effort expectancy, social influence, and reliability. The intention of the prospective retailer was selected as the dependent variable. With respect to the literature review, four hypotheses were developed in this study. To test the developed hypothesis in this study, descriptive research was adopted by applying a self-administered questionnaire distributed to respondents. For this study, convenience sampling was selected, whereby 379 respondents responded and answered the questions. All the independent variables have shown that they were positively significant to the intention of the prospective retailer. Hence, the intention of prospective retailer is influenced by performance expectancy, effort expectancy, social influence, and reliability. This research successfully contributed to the knowledge in this field by applying the UTAUT factor in the context of crowdfunding for expanding retail business. Regarding practitioners in this field, this research could act as a guideline or reference to enhance the retailer's intention to collect fund in a crowdfunding project. Lastly, for policymakers, it is hoped that this research could be used as a standard and reference for future crowdfunding initiatives by the government.

scholarly journals Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers

10.2196/18801 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e18801
Author(s):  
Dong Yang Meier ◽  
Petra Barthelmess ◽  
Wei Sun ◽  
Florian Liberatore
Keyword(s):  
Health Care ◽  
Social Influence ◽  
Technology Acceptance ◽  
National Culture ◽  
Behavioral Intention ◽  
Wearable Devices ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Health Consciousness ◽  
Effort Expectancy

Background The advancement of wearable devices and growing demand of consumers to monitor their own health have influenced the medical industry. Health care providers, insurers, and global technology companies intend to develop more wearable devices incorporating medical technology and to target consumers worldwide. However, acceptance of these devices varies considerably among consumers of different cultural backgrounds. Consumer willingness to use health care wearables is influenced by multiple factors that are of varying importance in various cultures. However, there is insufficient knowledge of the extent to which social and cultural factors affect wearable technology acceptance in health care. Objective The aims of this study were to examine the influential factors on the intention to adopt health care wearables, and the differences in the underlying motives and usage barriers between Chinese and Swiss consumers. Methods A new model for acceptance of health care wearables was conceptualized by incorporating predictors of different theories such as technology acceptance, health behavior, and privacy calculus based on an existing framework. To verify the model, a web-based survey in both the Chinese and German languages was conducted in China and Switzerland, resulting in 201 valid Chinese and 110 valid Swiss respondents. A multigroup partial least squares path analysis was applied to the survey data. Results Performance expectancy (β=.361, P<.001), social influence (β=.475, P<.001), and hedonic motivation (β=.111, P=.01) all positively affected the behavioral intention of consumers to adopt wearables, whereas effort expectancy, functional congruence, health consciousness, and perceived privacy risk did not demonstrate a significant impact on behavioral intention. The group-specific path coefficients indicated health consciousness (β=.150, P=.01) as a factor positively affecting only the behavior intention of the Chinese respondents, whereas the factors affecting only the behavioral intention of the Swiss respondents proved to be effort expectancy (β=.165, P=.02) and hedonic motivation (β=.212, P=.02). Performance expectancy asserted more of an influence on the behavioral intention of the Swiss (β=.426, P<.001) than the Chinese (β=.271, P<.001) respondents, whereas social influence had a greater influence on the behavioral intention of the Chinese (β=.321, P<.001) than the Swiss (β=.217, P=.004) respondents. Overall, the Chinese consumers displayed considerably higher behavioral intention (P<.001) than the Swiss. These discrepancies are explained by differences in national culture. Conclusions This is one of the first studies to investigate consumers’ intention to adopt wearables from a cross-cultural perspective. This provides a theoretical and methodological foundation for future research, as well as practical implications for global vendors and insurers developing and promoting health care wearables with appropriate features in different countries. The testimonials and support by physicians, evidence of measurement accuracy, and easy handling of health care wearables would be useful in promoting the acceptance of wearables in Switzerland. The opinions of in-group members, involvement of employers, and multifunctional apps providing credible health care advice and solutions in cooperation with health care institutions would increase acceptance among the Chinese.

Examining Healthcare Providers' Acceptance of Data From Patient Self-Monitoring Devices Using Structural Equation Modeling With the UTAUT2 Model

2019 ◽  
Vol 14 (1) ◽  
pp. 44-60
Author(s):  
Rita P. Francis
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Healthcare Providers ◽  
The Body ◽  
Equation Modeling ◽  
Self Monitoring ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Monitoring Devices

As wide-scale adoption by the market and consumers of ubiquitous devices or mobile apps that track fitness, sleep, nutrition, and basic metabolic parameters increases, it is vital to understand the attitudes of healthcare providers toward these devices. No researcher has previously examined how constructs related to technology acceptance have impacted healthcare providers' behavioral intention for self-monitoring devices (SMD). This was a quantitative, non-experimental study to examine SMD acceptance, intent to use, and other factors important to physicians regarding SMD. Statistical analysis of the data gathered showed that the second version of the Unified Theory of Acceptance and Usage of Technology (UTAUT2) constructs of performance expectancy, hedonic motivation, and price value were positively associated with the behavioral intention of SMD by physicians while effort expectancy and social influence were not. Furthermore, social influence was associated with use, while performance expectancy, effort expectancy, and hedonistic motivation were not. Major positive implications of these findings include: contribution to the body of literature in the health information technology (HIT) arena regarding factors that influence technology acceptance and potential increase in the adoption of SMD among healthcare providers.

scholarly journals Determinants of Electronic Book Adoption in Nigeria

2019 ◽  
Vol 39 (4) ◽  
pp. 175-179
Author(s):  
Okocha Foluke
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Undergraduate Students ◽  
Federal State ◽  
Electronic Books ◽  
University Administrators ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Effort Expectancy ◽  
Facilitating Conditions

The study examined the adoption of electronic books (e-books) among undergraduate students in Kwara State, Nigeria using the unified theory of technology acceptance and use model (UTAUT), with a view to understanding the factors that lead to its adoption. The population consisted of 300 undergraduate students from federal, state and private universities in Kwara State, Nigeria. Results showed that usage of electronic books in scholarly databases, procured by the library, was relatively low, with more than 50 per cent of respondents claiming to have used e-books only once. Students in federal and state universities showed preference for e-books while private university students showed preference for paper books. In examining the intention to adopt e-books, using the UTAUT model, results showed that performance expectancy, effort expectancy, social influence and facilitating conditions were major determinants of e-book adoption, while gender played a moderating role. Performance expectancy and effort expectance significantly influenced male students, while effort expectancy, social influence, facilitating conditions influenced female students significantly. It is paramount for university administrators to encourage the adoption of electronic books by promoting a lecturer-student model and improving the user interface to encourage the use of these resources.

scholarly journals Measuring Patient Acceptance and Use of a Personal Health Network Application for Chemotherapy Care Coordination (Preprint)

2018 ◽  
Author(s):  
Katherine K Kim ◽  
Janice F Bell ◽  
Jill G Joseph ◽  
Richard J Bold
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Care Coordination ◽  
Behavioral Intention ◽  
Cancer Care ◽  
Personal Health ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
The Mean ◽  
Facilitating Conditions

BACKGROUND Cancer is a top concern in the United States and globally. Cancer care suffers from lack of coordination, silos of information, and high cost. Interest is emerging in developing formalized coordination mechanisms to address these challenges. Person-centered technology can improve coordination, thereby improving the lives and health of individuals with cancer. However, few examples of patient engagement in technology-enabled care coordination exist and we lack tools to measure engagement or adoption. OBJECTIVE The “personal health network” (PHN) developed by the authors fills this gap: a personalized social network built around a patient for collaboration with clinicians, care team members, carers, and others designated by a patient, to enable patient-centered health and health care activities across a relevant community. The PHN is a mobile, social application that integrates person-generated data related to clinical concerns, symptom assessment, a shared care plan, secure messaging, and educational materials for individuals undergoing chemotherapy. The purpose of this study is to understand patients’ acceptance and use of the PHN. METHODS The PHN was implemented in a two arm (n=60), randomized, pragmatic trial of a 6-month-long care coordination intervention at a cancer center. The intervention arm received nurse care coordination plus the PHN on a tablet and a data plan. Technology acceptance was measured with a new Health Technology Acceptance and Use (HTAU) tool validated in an oncology population by one of the authors (KK). HTAU include 8 constructs (33 items): performance expectancy (8 items), effort expectancy (4), social influence (5), facilitating conditions (4), hedonic motivation (3), price-value (3), habit (3), and behavioral intention (3). Each construct score is the mean of the items within it, all rated from 0=not at all to 6=a great deal. HTAU was collected at 3 months and 6 months. We report on 3-month results. RESULTS HTAU at 3 months (n=33 intervention group, 94% response) shows high reliability, and Cronbach alpha is 0.96. The mean total score is 123.72 out of 198 (SD 40.60). The highest scored constructs are facilitating conditions (mean 4.48, SD 0.12), price-value (mean 4.40, SD 0.12), and effort expectancy (mean 3.86, SD 0.11) The lowest scored is habit (mean 2.37, SD 0.08) Other scores are moderate: performance expectancy (mean 3.10, SD 0.40), social influence (mean 3.13, SD 0.10), hedonic motivation (mean 3.30, SD 0.30), and behavioral intention (mean 3.41, SD 0.23). CONCLUSIONS Person-generated data and access to clinical data for patients has potential for improving cancer care coordination. Technologies to support this purpose must be accepted by patients. An in-depth understanding of technology adoption requires rigorous evaluation of the usability and usefulness constructs that underly it. Using HTAU we found that PHN usability was high, usefulness was moderate, and habit formation was low. Further evaluation of final results and interviews will help elucidate which constructs were meaningful, how they relate to outcomes, and suggest where future effort should be focused to improve adoption. This study contributes to person-centered design of technology-enabled care coordination interventions.

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