Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs

2015 ◽  
Vol 6 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Hart O. Awa ◽  
Ojiabo Ukoha Ojiabo ◽  
Bartholomew Chinweuba Emecheta
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Reasoned Action ◽  
Theoretical Framework ◽  
Future Research ◽  
Content Type ◽  
Perceived Service Quality ◽  
Integrated Framework ◽  
Perceived Trust ◽  
Acceptance Model

Purpose – This paper aims to propose a framework that integrated the technology acceptance model (TAM), theory of planned behaviour (TPB) and technology-organization-environment (TOE) and extended the constructs to enrich literature and capture some peculiarities of small and medium-scale enterprises (SMEs). Individually, the frameworks of extant TAM, TPB and TOE are insightful to the understanding of e-commerce adoption but a bit parochial in their constructs and so, can rarely provide clear lenses to deal with SMEs. Design/methodology/approach – The adoption of e-commerce depends largely on the users’ conscious assessment of the influencing constructs as proposed, among others, in theories of reasoned action, TAM, TPB and TOE. This paper reviewed, synthesized and extended the constructs of these models in an integrated framework. The proposed integrated framework led to 18 propositions to promote and facilitate future research, and to guide explanation and prediction of e-commerce adoption in an organized system. Findings – The introduced constructs in the integrated framework (e.g. company mission, individual difference factors, perceived trust and perceived service quality) introduce socio-technical systems and improve the theoretical base of adoption. Research limitations/implications – Neither the adoption drivers nor the constructs in the theoretical framework are mutually exclusive and exhaustive; rather, they are complementary and could incorporate other factors. Although the theoretical implications of the findings of this paper extend the scope of adoption drivers, the proposed framework needs to be tested empirically. Originality/value – The integrated and extended theoretical framework links three adoption drivers and attempts to improve existing knowledge on e-commerce adoption and to provide bases for more informed decision(s).

Developing a theoretical framework for intelligent contract acceptance

2020 ◽  
Vol 20 (3) ◽  
pp. 421-445 ◽  
Author(s):  
Alan J. McNamara ◽  
Samad M.E. Sepasgozar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Industry 4.0 ◽  
Theoretical Framework ◽  
The Body ◽  
Extensive Literature ◽  
Contributing Factors ◽  
Model Framework ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to develop a novel theoretical technology acceptance model, namely, for predicting acceptance of the trending technology of intelligent contracts (iContracts) in construction, which aims to integrate the data from emerging cyber-physical systems being introduced to the sector through the industry 4.0 revolution. This model includes main dimensions and critical contributing factors to assess the readiness for the iContract concept within the construction contract environment. Design/methodology/approach Through an extensive literature review, the structure of a unique theoretical technology acceptance model for iContract implementation, within construction, was developed iContract acceptance model (iCAM). Relevant themes were assessed through the lens of the technology acceptance model framework and the four accepted dimensions of the technology readiness index (TRI) concept. The main components of the model were examined with selected practitioners, with relevant experience and understanding of the iContract concept, with thematic mapping of the discussions correlated back to 12 specific iContract contributing constructs of the four adapted TRI dimensions. Findings The paper contributes to the body of knowledge by proposing a novel iCAM for a trending technology based on the specific requirements of iContract adoption. The interviews show that while the desire to digitalise the contractual environment exists, the readiness of the sector for such a disruptive change is unknown. Practical implications The findings and proposed conceptual iCAM offers a lens for the further development of the iContract concept by assisting practitioners to forecast digital readiness of the contract process in construction. Originality/value This study offers a unique and theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations through the digital, industry 4.0 and revolution.

scholarly journals Social media for outbound leisure travel: a framework based on technology acceptance model (TAM)

2019 ◽  
Vol 5 (1) ◽  
pp. 43-61 ◽  
Author(s):  
Snigdha Singh ◽  
Pallavi Srivastava
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Perceived Trust ◽  
Tourism Sector ◽  
Acceptance Model

Purpose The purpose of this paper is to explore the applicability of technology acceptance model (TAM) to explain the widespread acceptance and usage of social media (SM) for travel purposes by Indian outbound leisure travellers during their travel cycle. Design/methodology/approach The study has adopted a qualitative approach involving in-depth interviews of 30 respondents, who had taken at least one international vacation in the last 12 months. Content analysis was used to arrive at the conclusion. Findings Findings of the study are used to develop a conceptual model which upholds the validity of the TAM with perceived usefulness (PU) and perceived ease of use (PEU) as determinants of SM usage. The model has been extended to include perceived trust (PT) and social capital (SC) as important constructs to explain the travellers’ use of SM. Disposition readiness (DR) of the user towards SM was found to have an effect on all the four constructs. Originality/value Theoretically, this study suggests a modification to the existing TAM, which shows a unidirectional effect of PU and PEU on attitude. This study suggests that the effect would be bi-directional where the attitude (DR) of the traveller towards SM usage will affect PU and PEU. Furthermore, this study extends the TAM to include PT and SC as important constructs to explain SM usage by travellers. This study provides valuable insights into the hospitality and tourism sector which might help in further segmentation of travellers leading to more customised service offerings.

Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge

2020 ◽  
Vol 75 (4) ◽  
pp. 625-636 ◽  
Author(s):  
Hanyoung Go ◽  
Myunghwa Kang ◽  
SeungBeum Chris Suh
Keyword(s):  
Machine Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Hospitality Industry ◽  
Interactive Technology ◽  
Future Research ◽  
Content Type ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual framework to support future research on advanced robot applicability. Design/methodology/approach This research reviews current cases of AI use and technology acceptance model (TAM) studies and proposes a framework, interactive technology acceptance model (iTAM), to identify key determinants that stimulate consumer perceptions of advanced robot technology acceptance. Findings The main constructs and types of advanced robots were identified by reviewing TAM studies and AI robots that are currently used in the tourism and hospitality industry. This research found that as technologies tested in TAM studies have been improved by highly interactive systems, increased capability and a more user-friendly interface, examining perceived interactivity of technology has become more important for advanced robot acceptance models. The examples of advanced robot uses indicate that each machine learning application changes the robots’ task performance and interaction with consumers. Conducting experimental studies and measuring the interactivity of advanced robots are vital for future research. Originality/value To the authors’ knowledge, this is the first study on how consumers accept AI robots with machine learning applications in the tourism and hospitality industry. The iTAM framework provides fundamental constructs for future studies of what influences consumer acceptance of AI robots as innovative technology, and iTAM can be applied to empirical experiments and research to generate long-term strategies and specific tips to implement and manage various advanced robots.

I want to learn more! Integrating technology acceptance and task–technology fit models for predicting behavioural and future learning intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro Lo Presti ◽  
Assunta De Rosa ◽  
Enrico Viceconte
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Moderated Mediation Model ◽  
Task Technology Fit ◽  
Acceptance Model ◽  
Training Opportunities ◽  
Future Learning

Purpose Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the association between training opportunities and behavioural and future learning intentions also taking into account the role of task–technology fit as a moderator. Design/methodology/approach A survey was carried out within a single organization in the water processing sector on a sample of 200 workers who recently experienced a technological change through the adoption of System Application and Product in data processing. A moderated–mediation model was estimated through regression analyses with bootstrapping. Findings The results were consistent with study hypotheses. In particular, task–technology fit amplified the positive association between perceived ease of use and training opportunities as well as the indirect effect of this latter on both behavioural and future learning intentions through perceived ease of use and perceived usefulness. In sum, the hypothesized moderated–mediation model was confirmed. Originality/value Three novelty factors of this study can be stressed: it is among the few studies carried out on Italian workers in the realm of technology adoption, it expanded the technology acceptance model by including traditional behavioural intentions and future learning intentions as outcome variables and it integrated the task–technology fit perspective within the technology acceptance model.

A new technology acceptance model: a mixed-method of grounded theory and system dynamics

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Bastan ◽  
Masoumeh Zarei ◽  
Reza Tavakkoli-Moghaddam ◽  
Hamed Shakouri G.
Keyword(s):  
Grounded Theory ◽  
System Dynamics ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Technology Acceptance Model ◽  
Holistic Model ◽  
Content Type ◽  
Systemic Model ◽  
Effective Policy ◽  
Acceptance Model

Purpose The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have always highlighted the use of modern technological methods of construction to improve quality and productivity and reduce time and cost. One of these technologies is the so-called building information modeling (BIM), which has been very difficult to adopt and implement in Iran. The purpose of this study is to propose a systemic and holistic model to analyze the dynamics of adoption and implementation of BIM in this country. The purpose of this paper is to understand the dynamics of BIM acceptance to identify the most effective policy to maximize it in the Iranian manufacturing industry. Design/methodology/approach A two-stage methodology has been developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system methodology to extract a dynamic model from the conceptual one. This dynamic model can simulate different policies and may be used to evaluate their respective effectiveness. Findings In this study, using the GT method, we obtained 510 primary codes, 118 secondary codes, 50 concepts and 17 categories. After determining the relationships between categories through axial coding, we reached a conceptual model based on selective coding. Mention some of the variables of the conceptual model. Awareness, security, perceived usefulness and perceived ease of use are some of the most important variables of this model. In the next part, this conceptual model was run using system dynamics and, thus, turned into a causal model in which all the effective variables on BIM technology and their relationships with each other are specified. The stock and flow diagram of the problem and its related equations were presented. To improve the model and solve the problem, we examined the four policies as four future scenarios on the model: continuing the status quo, development of specialist workforce training, bolstering governmental support and increasing awareness via advertisement within. The simulation results showed that government support is the most effective policy for maximizing BIM acceptance in Iran. Practical implications In addition to enumerating all the factors affecting BIM technology, this paper proposes a systemic model that provides an accurate and comprehensive view of the acceptance of this technology. In this regard, by introducing feedback loops, as well as reinforcing and balancing factors versus factors causing stasis, the model offers a much deeper insight into mechanisms associated with BIM development and its barriers. Therefore, this study provides a very useful perspective and basis for policy-makers and all stakeholders to accept and implement BIM technology. The findings of this study can lead to more accurate policy-making, removal of acceptance barriers, promotion of incentives, and consequently more effective acceptance of BIM technology. Originality/value In this study, a new mixed research method was used. The innovation of our study lies in its simultaneous use of GT method to construct an accurate and holistic model and applying the system dynamics methodology to build a holistic and systemic model of the BIM acceptance problem. This research also provides a suitable standard and tool for studying BIM technology in developing countries.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI ADOPSI TWITTER ADVERTISING PADA SEGMEN MUDA USIA 15 – 24 TAHUN WILAYAH JABODETABEK (JAKARTA, BOGOR, DEPOK,TANGGERANG, BEKASI) TAHUN 2011

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Edith Lavindri ◽  
Pepey Riawati Kurnia
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Model Theory ◽  
Reasoned Action ◽  
Subjective Norm ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Innovation Model ◽  
Acceptance Model

Teori dan Model Theory of Reasoned Action (TRA) dari Fishbein & Ajzen (1975), Theory Planned Behavior (TPB) dari Ajzen (1991), Technology Acceptance Model (TAM) dari Davis (1989) dan Diffusion of Innovation Model (DOI) dari Rogers (1983 dalam Rogers, 2003) sering digunakan oleh banyak peneliti untuk menemukan faktor – faktor yang mempengaruhi adopsi yang berkaitan dengan teknologi. Pada penelitian ini keempat teori dan model ini dikombinasikan guna menjelaskan faktor – faktor yang mempengaruhi adopsi Twitter advertising pada segmen muda usia 15 – 24 tahun. Sebanyak 389 penguna Twitter menjadi responden penelitian ini, dimana 5 diantaranya diwawancara untuk mendapatkan pemahaman mendalam akan adopsi Twitter advertising. Hasil analisis menunjukkan bahwa terdapat attitude terhadap Twitter advertising, subjective norm terhadap Twitter advertising, perceived usefulness terhadap Twitter advertising berpengaruh dan signifikan terhadap intention to adopt Twitter advertising.

Technology Acceptance Model Modification for Electronic Wallet Users in Jakarta

2021 ◽  
Vol 26 (1) ◽  
pp. 17-24
Author(s):  
Almi Budiman ◽  
◽  
Baruna Hadibrata ◽  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Payment ◽  
Perceived Ease Of Use ◽  
Perceived Trust ◽  
Money Transfers ◽  
Acceptance Model

Introduction. The development of mobile payment in Indonesia is increased, especially by the emergence of the two biggest electronic payments, such as Go-Pay and Ovo, which aggressively offer various interesting offers. This affects the enhancement of the use of mobile payment by the public. In the beginning, server-based electronic money services of its appearance were still small, including credit top-up and internet data, and money transfers to banks that include as a member of ATM Bersama (joint ATM). Along with the development of technology, electronic wallets begin to transform by expanding payment services, and several latest e-wallet applications have emerged. Purpose. The purpose of this research is to understand the changes in consumers’ behavior that make payments from using cash and switching to electronic wallets. Results. The results of the analysis in this study were obtained as the below: (1) Perceived ease of use, perceived usefulness, perceived security, and perceived risk and trust have an influence on the intention to use e-wallet electronic application; (2) perceived ease of use and perceived risk have an influence on perceived usefulness of e-wallet user and (3) perceived ease of use, perceived risk, and perceived usefulness influence the perceived trust of e-wallet application users. Conclusions. It can be concluded that the technology acceptance model influences the user in using the electronic wallet as their transaction method since its usage can be trusted. Moreover, the benefit they got from electronic wallet (perceived usefulness) influence their trust and increase the intention of using an electronic wallet

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

Determinants of E-Payment Systems Success

2012 ◽  
Vol 4 (3) ◽  
pp. 15-38 ◽  
Author(s):  
Adeyinka Tella
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Payment System ◽  
Ease Of Use ◽  
Future Research ◽  
Perceived Benefits ◽  
Actual Use ◽  
System Success ◽  
Acceptance Model

The success of an information system (IS) depends on the users’ satisfaction with the system. In this study, the Technology Acceptance Model by Davies (1989) was extended. The paper synthesized the technology acceptance model (TAM) to explain and predict the success of e-payment system using users’ satisfaction as dependent variable. The hypothesized model was validated empirically using a sample data collected from of a modified e-payment questionnaire. A total of 74 teaching and non teaching academic staff selected from the Faculty of Communication and Information Sciences, University of Ilorin, Nigeria constituted the sample for the study. The results revealed correlation among perceived benefits, perceive enjoyment, speed; service quality, perceive ease of use and actual use and e-payment success. Moreover, all the seven e-payment predictive factors together made 69% of e-payment system success. Similarly perceived benefits, perceive enjoyment, speed; service quality, perceive ease of use and actual use are good predictors of e-payment system success. One of the implications pointed out by the study is that the measures for the construct of e-payment system success used are self-reported. In the light of this, future research should develop more objective and accurate measures for determining e-payment system success.

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