A comparison of the different versions of popular technology acceptance models

Kybernetes ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 788-805 ◽  
Author(s):  
Francisco Javier Rondan-Cataluña ◽  
Jorge Arenas-Gaitán ◽  
Patricio Esteban Ramírez-Correa
Keyword(s):  
Technology Acceptance ◽  
Linear Model ◽  
Mobile Internet ◽  
Data Set ◽  
Content Type ◽  
Use Of Technology ◽  
Internet Users ◽  
Linear Relationships ◽  
Technology Acceptance Models ◽  
Non Linear

Purpose – The purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the present day. Design/methodology/approach – A comparison of partial least squares (linear model) and WarpPLS (non-linear model) has been run for each acceptation of technology model: TRA, TAM0, TAM1, TAM2, TAM3, UTAUT, UTAUT2. The data set collects the information of mobile internet users. Findings – The authors have concluded that UTAUT2 model obtains a better explanation power than the rest of technology acceptance models (TAMs) in the sample of mobile internet users. Furthermore, all models have a better explanation power using non-linear relationships than the traditional linear approach. Originality/value – The vast majority of research published to date with regard to the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are based on structural equation models assuming linear relationships between variables. The originality of this study is that it incorporates non-linear relationships and compares the same models using both approaches.

Flexibility i-deals: how much is ideal?

2014 ◽  
Vol 29 (3) ◽  
pp. 246-265 ◽  
Author(s):  
Prajya R. Vidyarthi ◽  
Anjali Chaudhry ◽  
Smriti Anand ◽  
Robert C. Liden
Keyword(s):  
Linear Model ◽  
Hierarchical Linear Modeling ◽  
Organizational Support ◽  
Career Satisfaction ◽  
Employee Attitudes ◽  
Complex Nature ◽  
Cross Sectional ◽  
Content Type ◽  
Linear Relationships ◽  
Non Linear

Purpose – This paper aimed to explore the relationship between flexibility i-deals and employee attitudes. The authors developed theory and tested a non-linear model between i-deals and perceived organizational support (POS), and career satisfaction. Design/methodology/approach – Hierarchical linear modeling using multisource data collected in a field study from 207 employees and 39 managers supported the hypotheses. Findings – Consistent with the proposed non-linear model, low and high levels of flexibility i-deals were associated with high POS and career satisfaction. At moderate levels of i-deals, employee attitudes were lower. Research limitations/implications – Though non-linear relationships are unlikely to result from multi source common method data, the cross-sectional study design limits the authors from claiming causality between the variables of interest. This study is an important step towards elucidating the complex nature of relationship between flexibility i-deals and employee outcomes. Practical implications – Organizations must heed the needs of employees who seek accommodations in their work schedule. However, organizations should be cognizant of the associated implications at different levels of flexibility granted. Social implications – I-deals partly satisfied employees' need for affiliation by strengthening their emotional bonds with the organization (i.e. POS). I-deals also enhanced employees' career satisfaction which is an important component of self-actualization. By meeting employees' higher order needs i-deals have the potential to create a workplace that provides overall wellbeing rather than just a living. Originality/value – This is the first study to investigate non-linear relationships between flexibility i-deals and employee attitudes.

Intention to adopt mobile payment in physical stores

2019 ◽  
Vol 33 (2) ◽  
pp. 285-308 ◽  
Author(s):  
Yonathan Dri Handarkho ◽  
Yulius Harjoseputro
Keyword(s):  
Theoretical Model ◽  
Technology Acceptance ◽  
Switching Behavior ◽  
Mobile Payment ◽  
Herd Behavior ◽  
User Intention ◽  
Consumer Innovativeness ◽  
Content Type ◽  
Use Of Technology ◽  
Acceptance Model

Purpose The purpose of this paper is to develop a theoretical model based on Push–Pull–Mooring (PPM) framework consisting of direct, indirect and moderating effects, derived from technology acceptance model, unified theory of acceptance and use of technology and other extended theory, to address the main factor influencing an individual in adopting mobile payment (MP) in physical stores. The research, therefore, utilized individual switching behavior as an underpinning to explain MP adoption in an offline context. Design/methodology/approach The theoretical model was tested by collecting data from 459 respondents in Indonesia through online self-administered questionnaires. Findings The finding indicated consumer innovativeness has the most influential direct effect on MP adoption, followed by deal proneness, perceived convenience and perceived herd behavior. Meanwhile, perceived enjoyment and subjective norms were found to have an indirect effect on the adaptation of MP through mediator convenience. Furthermore, age, gender, occupation and income did not have any moderating effect for all the direct influence of MP adoption. Originality/value Previous literature only focused on direct intention. However, this study observed the adoption of MP in a physical store by involving the switching behavior. It specifically puts concern and objective as the factors that influence user intention to switch from their old payment system to the MP system in bricks and mortar store using PPM framework.

Computational modeling of Weibo user influence based on information interactive network

2016 ◽  
Vol 40 (7) ◽  
pp. 867-881 ◽  
Author(s):  
Dingguo Yu ◽  
Nan Chen ◽  
Xu Ran
Keyword(s):  
Social Networks ◽  
Computational Model ◽  
Large Scale ◽  
Mobile Internet ◽  
Activity Level ◽  
Message Content ◽  
Data Set ◽  
Sina Weibo ◽  
Content Type ◽  
User Influence

Purpose With the development and application of mobile internet access, social media represented by Weibo, WeChat, etc. has become the main channel for information release and sharing. High-impact users in social networks are key factors stimulating the large-scale propagation of information within social networks. User influence is usually related to the user’s attention rate, activity level, and message content. The paper aims to discuss these issues. Design/methodology/approach In this paper, the authors focused on Sina Weibo users, centered on users’ behavior and interactive information, and formulated a weighted interactive information network model, then present a novel computational model for Weibo user influence, which combined multiple indexes such as the user’s attention rate, activity level, and message content influence, etc., the model incorporated the time dimension, through the calculation of users’ attribute influence and interactive influence, to comprehensively measure the user influence of Sina Weibo users. Findings Compared with other models, the model reflected the dynamics and timeliness of the user influence in a more accurate way. Extensive experiments are conducted on the real-world data set, and the results validate the performance of the approach, and demonstrate the effectiveness of the dynamics and timeliness. Due to the similarity in platform architecture and user behavior between Sina Weibo and Twitter, the calculation model is also applicable to Twitter. Originality/value This paper presents a novel computational model for Weibo user influence, which combined multiple indexes such as the user’s attention rate, activity level, and message content influence, etc.

scholarly journals The evolution of predictive models and tourism

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Najmeh Gharibi
Keyword(s):  
Technology Acceptance ◽  
Predictive Models ◽  
Future Research ◽  
Content Type ◽  
Technology Acceptance Models ◽  
New Directions ◽  
The Future ◽  
Future Outcomes ◽  
Tourism Services

Purpose This study aims to investigate the predictive technology acceptance models and their evolution in the tourism context. These predictive models make a knowledgeable decision about the possibility of future outcomes by analysing data. As futurists are interested in making a prediction about the likelihood of different behaviours over time, researchers of these predictive models have focussed on behaviour and predicting the intentions of users. This study proposes to demonstrate the revolution of these models and how are changed overtime. It also indicates the role of them in future studies. Design/methodology/approach By reviewing the predictive models and literature, this study looks in-depth in the process of alteration of these models. Findings This study explores the reasons of the evolution of predictive models and how they are changed. It shed light on the role of predictive models in future research and will suggest new directions for forthcoming studies. Research limitations/implications One of the main limitations of this study is that as the world is currently struggling with COVID-19 and predictability of these models will be changed. As the future is disruptive, it cannot be concluded that how these models will be altered in future. Practical implications Role of predictive behavioural models of tourists is fundamentally crucial in assessing the performance of planners and marketers of tourism services in the future. It will also vastly helps the successful development of tourism sectors, and it has practical value for all tourism stakeholders. Originality/value Few studies have focussed on the evaluation of these models and their role in future research.

scholarly journals Child online safety and parental intervention: a study of Sri Lankan internet users

2018 ◽  
Vol 31 (3) ◽  
pp. 770-790 ◽  
Author(s):  
Hemamali Tennakoon ◽  
George Saridakis ◽  
Anne-Marie Mohammed
Keyword(s):  
Self Efficacy ◽  
Parental Monitoring ◽  
Parental Mediation ◽  
Third Party ◽  
Physical Contact ◽  
Data Set ◽  
Older Parents ◽  
Content Type ◽  
Internet Users ◽  
Parental Intervention

PurposeToday’s world of digital and mobile media does not require actual physical contact, between the suitable target and the motivated offender, as with traditional crime. In fact, as Mesch (2009) contended that the internet is not merely an information channel but it creates a new space of activities for children, where they are exposed to motivated offenders and the actors of fourth party. Therefore, for the sake of children’s safety, the practice of parental mediation control is increasingly becoming more pertinent everyday. Thus, the purpose of this paper is to examine how parental mediation control in Sri Lanka is influenced by their internet self-efficacy, their experience as online victims and their trust in online users.Design/methodology/approachThis paper uses a unique data set of computer and internet users from Sir Lanka to examine parental intervention in their children’s online activities. Specifically, the data set contains 347 responses from computer and internet users. To analyze the data, the authors use a binary dependent (probit) model.FindingsThe results show that such factors alter the baseline probability of parental intervention. However, some differences are found between younger and older parents, with the latter group responding more to trust in online users and victimization experience while the former is mainly driven from computer self-efficacy. In particular, the older group is less likely to trust online internet users in terms of never adding unknown persons in the social media. Finally, being self-employed and an older parent has a positive effect on the likelihood of adopting parental controls, possibly because of the non-pecuniary attributes of self-employment.Originality/valueThis study adds to the emerging parental mediation control literature by looking at the likelihood of younger and older parents who were victims of cybercrimes, who have greater internet self-efficacy and lower online third-party trust to adopt parental mediation control behaviors. Also another contribution to the literature is the role of occupation type on parental monitoring behaviors.

Sport content and virtual reality technology acceptance

2019 ◽  
Vol 10 (1) ◽  
pp. 83-103
Author(s):  
Reinhard E. Kunz ◽  
James P. Santomier
Keyword(s):  
Virtual Reality ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Influencing Factors ◽  
Structural Equation ◽  
Consumer Acceptance ◽  
Equation Modeling ◽  
Content Type ◽  
Content Quality ◽  
Use Of Technology

PurposeNotwithstanding the dynamics of digital transformation and its relevance for revenue generation in the entertainment industry, empirical research that focused on consumer behavior at the intersection of sport content and media technology acceptance is limited. Virtual reality (VR) is a re-emerging and nowadays commercially available technology that impacts sport consumed through media. The purpose of this paper is to investigate the consumer acceptance of VR technology and highlight the effects of content quality and flow experience as influencing factors of behavioral intention.Design/methodology/approachBased on a literature review, the authors constructed and empirically tested a model that extends the unified theory of acceptance and use of technology (UTAUT2) by considering additional antecedent factors. Participants (N=570) in the empirical study viewed sport content via VR technology (Sport VR) and completed a survey before and after viewing. The authors conducted factor analysis and structural equation modeling.FindingsThree UTAUT2 influencing factors, i.e., performance expectancy, social influence and hedonic motivation, showed significant effects. Furthermore, flow and content quality had positive indirect effects. Thus, the quality of sport content and the state of flow that users experience when immersed in a VR environment are relevant factors that determine the performance expectations of consumers and their Sport VR usage intention.Originality/valueThis empirical study contributes to knowledge on consumer acceptance of a hedonic technology in a sport media context. Moreover, two factors extended the established UTAUT2 model.

Technology acceptance model (TAM) and social media usage: an empirical study on Facebook

2014 ◽  
Vol 27 (1) ◽  
pp. 6-30 ◽  
Author(s):  
Rupak Rauniar ◽  
Greg Rawski ◽  
Jei Yang ◽  
Ben Johnson
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Networking Site ◽  
Data Set ◽  
Content Type ◽  
Media Usage ◽  
Usage Behavior ◽  
Acceptance Model

Purpose – Given the widespread popularity of social media, such as Twitter, Facebook, Google+, and LinkedIn, theorizing and understanding the user attitude and usage behavior of social media site is fundamental in developing future understandings and deployment of these new technologies. One approach to such studies on drivers of social media usage behavior would be to revisit the technology acceptance model (TAM). The purpose of this paper is to discuss these issues. Design/methodology/approach – Decades of extensive research have focussed on validating the TAM, proposed by Davis (1986), for various types of information systems and communication technologies. TAM forecasts individual adoption and voluntary use of technology. This study examines individual adoption behavior of the most popular social networking site Facebook. The influences on the intention of using social networking based on individual's perceived ease of use (EU), the user's critical mass (CM), social networking site capability (CP), perceived playfulness (PP), trustworthiness (TW), and perceived usefulness (PU) is empirically examined with a primary data set of 398 users of Facebook gathered from a web-based questionnaire survey. Findings – The results demonstrate that the revised social media TAM model proposed in this study supports all the hypotheses of social media usage behavior. The results of this study provide evidence for the importance of additional key variables to TAM in considering user engagement on social media sites and other social-media-related business strategies. Originality/value – Based on our review of existing scientific literature on social media, few empirical studies have been conducted to scientifically evaluate and explain the usage behavior of social media using Facebook. A validated instrument of usage behavior of social media can provide usability experts and practitioners with a validated tool to assess social media acceptance and usage behavior. This can help us gain a better understanding of “who is and who is not using these sites, why and for what purposes” (Boyd and Ellison, 2007).

An empirical study of wearable technology acceptance in healthcare

2015 ◽  
Vol 115 (9) ◽  
pp. 1704-1723 ◽  
Author(s):  
Yiwen Gao ◽  
He Li ◽  
Yan Luo
Keyword(s):  
Technology Acceptance ◽  
Wearable Technology ◽  
Moderating Effects ◽  
Content Type ◽  
Perceived Severity ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Privacy Calculus ◽  
Acceptance Model ◽  
Adoption Intention

Purpose – The purpose of this paper is to investigate the factors associated with consumer’s intention to adopt wearable technology in healthcare, and to examine the moderating effects of product type on consumer’s adoption intention. Design/methodology/approach – An integrated acceptance model was developed based on unified theory of acceptance and use of technology 2 (UTAUT2), protection motivation theory (PMT), and privacy calculus theory. The model was tested with 462 respondents using a survey. Findings – Consumer’s decision to adopt healthcare wearable technology is affected by factors from technology, health, and privacy perspectives. Specially, fitness device users care more about hedonic motivation, functional congruence, social influence, perceived privacy risk, and perceived vulnerability, but medical device users pay more attention to perceived expectancy, self-efficacy, effort expectancy, and perceived severity. Originality/value – This study is among the first to investigate healthcare wearable device from behavioral perspective. It also helps to comprehensively understand emerging health information technology (HIT) acceptance from technology, health, and privacy perspectives.

Forewarned is forearmed – repayment delays in microfinance relationships

2017 ◽  
Vol 77 (2) ◽  
pp. 218-238 ◽  
Author(s):  
Imke Hering ◽  
Oliver Musshoff
Keyword(s):  
Linear Model ◽  
Logit Model ◽  
Generalized Linear Model ◽  
Design Methodology ◽  
Positive Relationship ◽  
Data Set ◽  
Content Type ◽  
Lending Relationships ◽  
Microfinance Institution ◽  
Rich Data

Purpose In order to improve the assessment of current lending policies for a microfinance institution (MFI) in Azerbaijan, the purpose of this paper is to analyse how lending conditions are adjusted based on knowledge gains during the loan relationship, with particular attention to delays in previous loans. Moreover, the paper examines what a lender can pre-determine from its own collected repayment records of clients. In addition, the repayment performances and lending policies between agricultural and non-agricultural clients are differentiated. Design/methodology/approach The analyses are based on a rich data set of an Azerbaijani MFI. For determining the influence of previous delays on the volume rationing in the following loan, the authors apply a generalized linear model. Subsequently, the probability of recidivism is analysed by means of a logit model. Findings The results confirm a positive relationship between delays in previous loans and repayment problems in present loans, which is increased by the severity of the previous delay. With respect to consequences, it is shown that the borrower with previous delays faces an increase in loan volume rationing in the subsequent loan. Moreover, the authors find that the consequences of previous delays do not differ significantly between farmers and other clients. Originality/value Until now, the consequences of repayment delinquencies in microfinance lending relationships have hardly been investigated. This study enhances the understanding of lending policies in microfinance by focussing on relationship aspects and by simultaneously differentiating between farming and non-farming clients.

scholarly journals A Literature Review of the Partial Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model

2019 ◽  
Vol 53 (4) ◽  
pp. 101
Author(s):  
Jacek Piotr Kułak ◽  
Mariusz Trojanowski ◽  
Edyta Barmentloo
Keyword(s):  
Technology Acceptance ◽  
Theoretical Background ◽  
Unified Theory ◽  
Marketing Communication ◽  
Performance Expectancy ◽  
Review Analysis ◽  
Use Of Technology ◽  
Technology Acceptance Models ◽  
Explained Variance ◽  
Use Behavior

<p><strong>Theoretical background:</strong> Today, people use more systems and devices than ever, no matter the context. These behaviors are most often explained using technology acceptance models, including the unified theory of acceptance and use of technology 2 (UTAUT2), which is a new and prominent technology acceptance theory.</p><p><strong>Purpose of the article:</strong> The aim of this article is to identify any interpretable trends and draw overall conclusions about the existing UTAUT2 literature, which helps to fill the gap which is lack of such review for UTAUT2 model.</p><p><strong>Research methods:</strong> Descriptive review analysis of 23 articles based on the partial UTAUT2 model.</p><p><strong>Main findings:</strong> The UTAUT2 is an efficient theory – the average explained variance of behavioral intention was 62% and for use behavior – 37%. It is highly recommended to use the performance expectancy variable in all research contexts based on the UTAUT2 model. Utilitarian aspects turned out to be more important than hedonic ones for most technology adopters. Commercial organisations should focus on delivering reliable and useful products and underline these features in marketing communication.</p>

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