What determines tourist adoption of smartphone apps?

2018 ◽  
Vol 9 (1) ◽  
pp. 50-64 ◽  
Author(s):  
Anil Gupta ◽  
Nikita Dogra ◽  
Babu George

Purpose This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones. Design/methodology/approach A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis. Findings Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior. Practical implications The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity. Originality/value This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.


2015 ◽  
Vol 115 (2) ◽  
pp. 311-331 ◽  
Author(s):  
Aik-Chuan Teo ◽  
Garry Wei-Han Tan ◽  
Keng-Boon Ooi ◽  
Teck-Soon Hew ◽  
King-Tak Yew

Purpose – The purpose of this paper is to uncover the effects of perceived transaction convenience (PTC) and perceived transaction speed (PTS) on unified theory of acceptance and use of technology (UTAUT) in the context of m-payment. Design/methodology/approach – A predictive analysis approach was used to examine the PTC and PTS using a two-stage partial least square (PLS) and neural network (NN) analyses. Findings – The findings reveal that only effort expectancy (EE) and facilitating conditions (FC) were discovered to significantly influence BI. More importantly, PTC was found to have positive significant relationship with EE and performance expectancy (PE). Moreover, PTS also supported the positive relationship with BI and EE. Practical implications – The findings of the study provided further insights to mobile payment service providers, online banking industry players, and all decision makers and stakeholders involved. Originality/value – Despite of many attempts devoted to understand m-payment adoption, the effects of PTC and PTS on m-payment are not well understood.



2016 ◽  
Vol 6 (1) ◽  
pp. 248 ◽  
Author(s):  
Ebrahim Mahmoud Mansour

<p class="ber">Despite the efforts of auditing professional bodies to help stimulating the application of contemporary audit technologies among audit firms to cope with the rapid growth in information technology usage among business organization, the extent to which Jordanian external auditors and alongside the world's trend have accepted Computer Assisted Auditing Techniques (CAATs) remains fairly low. This study use the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore this lack of CAATs' usage in Jordan and try to find answer to what factors may affect their adoption and acceptance. The study has drawn upon qualified questionnaire sent to 200 statutory external auditors to obtain the data. With a response rate over 80%, the results of the statistical analysis revealed that Jordanian external auditor's intention to adopt CAATs may be driven by both auditor's performance expectancy and firm's facilitating conditions issues. However, effort expectancy and social influence at the other spectrum may not play such a major role. These results have several practical implications. Jordanian audit firms can create a positive attitude amongst its auditors towards CAATs' usage by promoting CAATs benefits and usefulness, by decreasing efforts expectancy needed to use CAATs, and by further investing in management and technical infrastructure supporting CAATs.</p>



2019 ◽  
Vol 37 (1) ◽  
pp. 362-381 ◽  
Author(s):  
Mehdi Hussain ◽  
Abu Taher Mollik ◽  
Rechel Johns ◽  
Muhammad Sabbir Rahman

PurposeThe purpose of this paper is to examine m-payment adoption for the bottom of pyramid (BoP) segment in a developing country context.Design/methodology/approachA questionnaire was distributed to 247 BoP customers in Bangladesh. Data were analysed by employing confirmatory factor analysis and Structural Equations Modelling.FindingsThe results show that performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), habit and social influence (SI) significantly influence the BoP segment’s behavioural intention (BI). It is revealed that PE, lifestyle compatibility (LC), SI and habit have relatively stronger effects being higher predictor of intentions. Again EE and FC have relatively lower effects on m-payment BI. On the other hand, hedonic motivation (HM) and price value (PV) are two non-significant predictors of m-payment adoption.Practical implicationsThe study recommends that financial institutions, such as banks and other non-banking service firms, need to know the antecedents affecting BI suggested by the unified theory of acceptance and use of technology (UTAUT2) theory along with “LC”. This will increase m-payment adoption for the BoP segment in developing countries.Originality/valueTo the extent of researcher’s knowledge, none of the previous studies using the UTAUT2 theory to examine m-payment adoption for BoP segment. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of LC, which is one of the significant antecedents in explaining BoP segment’s m-payment adoption.



2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Quistina Omar ◽  
Ching Seng Yap ◽  
Poh Ling Ho ◽  
William Keling

PurposeThis study examines the predictors of behavioral intention of farmers to adopt a mobile agricultural finance application called e-AgriFinance using the Unified Theory of Acceptance and Use of Technology (UTAUT) and perceived cost as an additional predictor.Design/methodology/approachUsing a questionnaire survey, data are collected from 337 farmers in Sarawak, Malaysia. The collected data are analyzed using partial least squares structural equation modelling (PLS-SEM).FindingsThe research finds that performance expectancy, effort expectancy, social influence and facilitating conditions are positively related to behavioral intention to adopt the e-AgriFinance app, with social influence being the strongest predictor. Perceived cost is also found to be positively related to behavioral intention which contradicts the prediction of the model.Research limitations/implicationsThis study contributes to the use of UTAUT in predicting the adoption of mobile agricultural finance applications among farmers.Practical implicationsFor practice, this study provides implications for the Sarawak government to promote digital and financial inclusivity for all communities. This study also provides insights into important features of the e-AgriFinance app for digital finance providers to develop the apps that will be well accepted by farmers in the future.Originality/valueThis research is one of the few studies that focused on farmers' mobile technology adoption in agribusiness from the perspective of an emerging economy.



2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alvedi Sabani

Purpose The purpose of this paper is to extend and validate the unified theory of acceptance and use of technology (UTAUT) for investigating the effect of transparency on the adoption of e-Government in Indonesia from the perspective of citizens. Design/methodology/approach A comprehensive review of the related literature leads to the development of a transparency-focused conceptual model to better understanding the adoption of e-Government. Structural equation modelling is used for analysing the data collected from the citizens in Indonesia. Findings This study confirms that performance expectancy, effort expectancy, social influence, facilitating conditions and transparency are the critical factors for evaluating the citizen adoption of e-Government in Indonesia. In addition, transparency is found to be the strongest factor that influences the decision of Indonesian citizens to adopt e-Government. Research limitations/implications From the theoretical perspective, the use of the UTAUT model is extended by incorporating the transparency factor that is vital to the adoption of e-Government in developing countries such as Indonesia. Practical implications In terms of managerial and policy implications, this research offers the Indonesian Government suggestions on how the adoption of e-Government can be improved. Originality/value This is the first study that extends and empirically validates the UTAUT model with transparency for evaluating the adoption of e-Government from the perspective of citizens in Indonesia. It demonstrates how the transparency factor can be incorporated to better understand the adoption of e-Government in such a context.



2016 ◽  
Vol 12 (4) ◽  
pp. 23-37 ◽  
Author(s):  
Nuno Fortes ◽  
António Carrizo Moreira ◽  
João Saraiva

Online gambling has skyrocketed in recent years. As such, knowing the determinants of consumer usage behavior is crucial in understanding online gambling services. This study has as main objective the construction of an explanatory model of the online gambling services usage behavior, based on the incorporation of perceived risk in the conceptual framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The empirical validation of the model was performed by conducting an online survey to a convenience sample of 212 Portuguese online players. Data were processed using the PLS-SEM methodology. The results evidence that performance expectancy, social influence, facilitating conditions, hedonic motivations, price value, habits, as well as perceived risk influence the intention to use online gambling services.



2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.



2015 ◽  
Vol 12 (3) ◽  
pp. 183-201 ◽  
Author(s):  
Pradeep Kumar Nair ◽  
Faizan Ali ◽  
Lim Chee Leong

Purpose – This study aims to explain the factors affecting students’ acceptance and usage of a lecture capture system (LCS) – ReWIND – in a Malaysian university based on the extended unified theory of acceptance and use of technology (UTAUT2) model. Technological advances have become an important feature of universities’ plans to improve the flexibility and accessibility in a learning and teaching environment. For private universities, which are market-driven, it is vital to assess if these technologies influence the perceptions and behaviour of their target beneficiaries. Design/methodology/approach – The study is designed using a causal research design to examine the cause–effect relationship between the study variables. The study sample consists of 398 students selected via purposive sampling. Data are collected using a five-point Likert scale covering UTAUT2’s factors and variables featuring ReWIND’s acceptance and usage. Partial least squares-based structural equation modelling is used to analyse the data. Findings – The findings show that performance expectancy, effort expectancy, social influence, facilitating conditions, price–value, hedonic motivation and habit have significant influence on students’ acceptance and usage of ReWIND. Research limitations/implications – This research examines the factors affecting students’ acceptance and usage of ReWIND in a Malaysian university. The main limitation of this study is that it focuses only on the factors highlighted in the UTAUT2 model. Practical implications – The results provide a useful framework to the universities for the successful implementation of student-friendly technologies such as ReWIND to enhance their learning experience. Originality/value – Responding to the need of studies validating the UTAUT2 model in the adoption and use of different technologies, this study contributes to the literature by extending the UTAUT2 into the context of LCS at a private university in a developing country.



Author(s):  
Shavneet Sharma ◽  
Gurmeet Singh ◽  
Stephen Pratt

This paper examines the differences in consumers' intention to purchase travel online across Millennials and Baby Boomers. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) is extended by including attitude, compatibility, innovativeness, perceived trust, and perceived risk variables. Data is collected using online questionnaires from Millennials (N=322) and Baby Boomers (N=318) in Australia. Overall, the empirical results revealed that factors affecting Australian consumers' intention to purchase travel online differ across generations. This study contributes to the literature by extending and testing the comprehensive research model to understand consumers' online travel purchase behavior better.



2019 ◽  
Vol 23 (1) ◽  
pp. 1-11
Author(s):  
Noorshella Che Nawi ◽  
Abdullah Al Mamun ◽  
Noorul Azwin Md Nasir ◽  
Rajennd Muniady

Social media has been identified as a platform for student entrepreneurs to sell products and services, and to interact and connect with customers. However, the factors contributing to the adoption of social media as a platform among student entrepreneurs in Malaysia have not been established. This article aims to identify factors affecting the adoption of social media as a business platform among student entrepreneurs in Malaysia. This study employed a cross-sectional design and quantitative data was collected from 300 selected student entrepreneurs listed in the ‘entrepreneurship centres’ in all public universities in Peninsular Malaysia. Findings suggest that performance expectancy, perceived trust, perceived enjoyment and perceived risk have a significant positive effect on the adoption of social media. It is noted that there is a significant positive moderating effect of social influence between the relationship of facilitating conditions and the adoption of social media. Student entrepreneurs adopt social media as a business platform if they believe it improves their performance. Risk and trust are the most important factors influencing the adoption of social media as a business platform. Based on the findings, government agencies should promote social media as a business platform by instilling trust in the system with the hope that it will positively affect students’ entrepreneurial activities using social media as a business platform.



Sign in / Sign up

Export Citation Format

Share Document