To see the other types of publications on this topic, follow the link: Technology Adoption Model (TAM).
Journal articles on the topic 'Technology Adoption Model (TAM)'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Technology Adoption Model (TAM).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Nurqamarani, Adisthy Shabrina, Eddy Sogiarto, and Nurlaeli Nurlaeli. "Technology Adoption in Small-Medium Enterprises based on Technology Acceptance Model: A Critical Review." Journal of Information Systems Engineering and Business Intelligence 7, no. 2 (October 28, 2021): 162. http://dx.doi.org/10.20473/jisebi.7.2.162-172.
Full textAbstract:
Background: Technology acceptance model (TAM) has been extensively used to analyse user acceptance of technologies adopted by enterprises at different levels. Moreover, the technology adoption has drawn attention among practitioners and academic communities alike, leading to the development of approaches to understand the concept. However, there is a degree of inconsistency found in previous studies on different types of TAM models used in explaining user acceptance of technologies among small-medium enterprises (SMEs).Objective: This critical literature review aims to synthesise the technology adoption scholarly studies using TAM. It is expected to aid the identification of the most relevant factors influencing SMEs in adopting technology. Additionally, analysing the variations of TAM developed in previous studies could provide suggested variables specific to the type of technology industry.Methods: An integrated approach was used, and this involves a review of articles on the adoption of technologies in SMEs from 2011 to 2021, retrieved from popular databases using a mixture of keywords such as technology acceptance model (TAM), technology adoption, and technology adoption in SMEs.Results: An overview of TAM studies on user acceptance of technology in this review covers a wide range of research areas from financial technology to human resource management-related technology. Perceived usefulness and perceived ease of use were discovered to be the most common factors in TAM from the 21 articles reviewed. Meanwhile, some other variables were observed such as context, type of technology and level of user experience.Conclusion: The review highlights key trends in previous studies on IT adoption in SMEs, which assist researchers and developers in understanding the most relevant factors and suitable TAM models in determining user acceptance in a particular field. Keywords: Technology Acceptance Model, Technology Adoption, Small-medium Enterprises, Critical Review
2
Natakusumah, Kameswara, Erna Maulina, Anang Muftiadi, and Margo Purnomo. "Integrating religiosity into a technology acceptance model for the adoption of mobile payment technology." International Journal of Data and Network Science 7, no. 1 (2023): 305–12. http://dx.doi.org/10.5267/j.ijdns.2022.10.003.
Full textAbstract:
This research studies the effects of the religiosity on financial technology (fintech) adoption. The study examines religiosity as part of the Technology Acceptance Model (TAM) dimensions for the adoption of mobile payment technology. We explore the role of religiosity in TAM and recommend several policies for related organizations. The study uses professional sample calculation from 113 traditional markets under Perumda Pasar Jaya as a business entity whose capital is wholly or mostly owned by the regional government through regional assets of DKI Jakarta Province, Indonesia, which use mobile payment technology. We obtained 363 respondents from June 2020 to June 2021, coinciding with the Covid-19 pandemic. Hypothesis testing was done employing SmartPLS 3.2.9 software and questionnaires. The study also adapts previous studies to ensure the questionnaires are relevant to the research objects. The research result show that religiosity explained the formation of TAM by small businesses in traditional markets under Perumda Pasar Jaya Management. Religiosity and the adoption of mobile payment technology determined whether a user used fintech or not. As the research period was limited to June 2020 - June 2021, including field research in the traditional markets, newer TAM mobile payment technology development and other TAM mobile payment-based research were not included. This research offers a new TAM development model using religiosity for mobile payment adoption in traditional markets.
3
SUGANDINI, Dyah, Mohamad Irhas EFFENDI, Yuni ISTANTO, Rahajeng ARUNDATI, and Esti Dwi RAHMAWATI. "Technology-Organization-Environment Model and Technology Acceptance Model in Adoption of Social Media Marketing on SMEs Tourism." Journal of Environmental Management and Tourism 10, no. 4 (October 4, 2019): 878. http://dx.doi.org/10.14505//jemt.10.4(36).19.
Full textAbstract:
This study aims to analyze the model of social media adoption in SMEs tourism in Special Region of Yogyakarta, with antecedents’ managers innovativeness, pressure from competitors, barrier to adoption, Perceived Usefulness (PU), Perceived Ease of Use (PEU) and attitude. Two theoretical approaches are used, namely Technology Acceptance Model and Technology-organization-environment (TOE) models. This research is a survey research. Respondents in this study are managers of SMEs tourism. The social media adoption model was tested empirically using 200 respondents. Structural Equation Model is used to analyze research data. This study analyzes the social media adoption of tourism SMEs in developing countries, because although there are many studies on social media adoption in developing countries, very few focus on social media adoption in the small-scale tourism industry. This research integrates TAM and TOE in exploring the adoption of social media marketing on SMEs tourism by adding a barrier to adoption. The results of this study indicate that the TAM model combined with TOE supports the social media adoption model. Most of the variables studied were largely significant, but this study could not justify the influence of barriers on social media adoption.
4
Aswar, Khoirul, Ermawati, Wisnu Juliyanto, Andreas, and Meilda Wiguna. "Adoption of e-government by Indonesian state universities: An application of Technology Acceptance Model." Problems and Perspectives in Management 20, no. 1 (March 21, 2022): 396–406. http://dx.doi.org/10.21511/ppm.20(1).2022.32.
Full textAbstract:
E-government is the use of internet platforms to deliver governmental services to citizens with the goal of improving government efficiency, transparency, and participation. This study aims to find out what factors determine the rate at which public university in Indonesians accept e-government services. This study uses the Technology Acceptance Model (TAM). TAM is a traditional model of technology diffusion that is an essential conceptual criterion. It drives acceptance consisting of perceived usefulness and perceived ease of use. The results of this paper back up the original TAM hypothesis. Based on the data collected and analyzed, the study concludes that three influencing factors, namely perceived usefulness (PU), perceived ease of use (PEU), and perceived risk (PR), are significantly related to the intention to use e-commerce government. However, trust and social influence do not significantly affect the intention to use e-government services. This paper has significant implications for policymakers and government officials who want to see the growth of e-government usage in Indonesia. When attempting to market a new online system from the perspective of human-computer interaction, it becomes evident that designers must consider how users perceive the risks.
5
Koul, Sahil, and Ali Eydgahi. "Utilizing Technology Acceptance Model (TAM) for driverless car technology Adoption." Journal of technology management & innovation 13, no. 4 (December 2018): 37–46. http://dx.doi.org/10.4067/s0718-27242018000400037.
Full text
6
Kaushik, Arun Kumar, and Zillur Rahman. "An alternative model of self-service retail technology adoption." Journal of Services Marketing 29, no. 5 (August 10, 2015): 406–20. http://dx.doi.org/10.1108/jsm-08-2014-0276.
Full textAbstract:
Purpose – This study aims to extend and revise the basic technology acceptance model (TAM) by analyzing the impact of trust and subjective norm (SN) on consumers’ attitude and behavioral intention toward adopting self-service technologies (SSTs) in offline retail environments. Design/methodology/approach – Primary data were collected through field and online surveys, resulting in 651 usable responses. Hypotheses involving all variables of extended TAM, and their mutual relationships, are examined in this study of offline consumer adoption behavior. Findings – The findings reveal that trust significantly affects both consumers’ attitudes and their behavioral intentions, while SN also affects intention to adopt. It is recommended that future researchers use a more comprehensive version of TAM and consider trust and SN when analyzing offline consumer adoption behavior. Research limitations/implications – All the SSTs included in this paper belong to the retail industry, which limit the generalizability of the findings to other industries. Many other limitations are also discussed. Practical implications – The practicality of our findings guides managers and designers of technological interfaces. Furthermore, the practical implications are discussed and directions for future research are also provided. Social implications – This study recommends the usage of numerous SSTs in organized retail stores. The society will also benefit from the effective implementation of such SSTs. Originality/value – Trust and SNs have been incorporated as two additional variables to analyze offline adoption behavior of retail customers. This has not been done before, as most studies have focused on adoption behavior of customers in online environments.
7
Sanchís-Pedregosa, Carlos, Juan-Manuel Vizcarra-Aparicio, and Antonio L. Leal-Rodríguez. "BIM: a technology acceptance model in Peru." Journal of Information Technology in Construction 25 (February 5, 2020): 99–108. http://dx.doi.org/10.36680/j.itcon.2020.006.
Full textAbstract:
The purpose of this paper is to empirically study factors that facilitate the adoption of building information modelling (BIM) among practitioners using the unified theory of technology acceptance model (TAM). The factors identified in the TAM were examined using a quantitative approach. The empirical investigation has been conducted using a survey questionnaire. The data set has been obtained from 73 architects and engineers in Peru. Results show that Perceived Usefulness (PU) is the most important determinant of Behavioural Intention (BI), while Perceived Ease of Use (PEOU) is found to have no significant effect on BI. The findings provide an excellent backdrop in the development of policy and a roadmap for BIM implementation in Peru. The original contribution and value of the paper is the use of TAM to provide empirical evidence on factors that facilitate BIM adoption in Peru.
8
Sukackė, Vilma. "TOWARDS EXTENDING THE ORIGINAL TECHNOLOGY ACCEPTANCE MODEL (TAM) FOR A BETTER UNDERSTANDING OF EDUCATIONAL TECHNOLOGY ADOPTION." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 21, 2019): 525. http://dx.doi.org/10.17770/sie2019vol5.3798.
Full textAbstract:
Technology acceptance model (TAM) is arguably the most widely used intention theory that explains the individual’s acceptance of a certain technology. Since Davis introduced TAM in 1986, it has been applied and validated in a variety of disciplines, including educational sciences. However, scholars note that depending on a specific context, the original TAM needs to be extended, which has been done by introducing external variables and other theories. Despite the existent TAM2 and TAM3, numerous scholars still opt for the original TAM, extending it with the variables and theories that are relevant to the specific context of their study. The aim of the present paper is to provide an overview of validated TAM extensions, which might later help to further the understanding of educational technology acceptance, which is a prerequisite of its adoption. Since interdisciplinarity in various contexts is becoming more and more common, the overview presents TAM extensions that come from a number of different disciplines. The overview is based on 108 papers that were retrieved from the Web of Science (Clarivate Analytics) by searching for the keywords ‘extended Technology Acceptance Model’, ‘extended TAM’, and ‘TAM extension’.
9
Huang, Leelien Ken. "A Cultural Model of Online Banking Adoption." Journal of Organizational and End User Computing 29, no. 1 (January 2017): 1–22. http://dx.doi.org/10.4018/joeuc.2017010101.
Full textAbstract:
Because the technology acceptance model (TAM) may not be applicable to all cultures, conducting studies from a cultural perspective to support research on the adoption of online banking can contribute to the TAM literature. A research framework based on the extended TAM is developed to examine the effects of efficacy (computer self-efficacy), social status (subjective norms) and belief variables (perceived usefulness and ease of use) on customers' adoption intentions. The effect of the interaction between the cultural value of long-term orientation and the TAM is examined. A voluntary survey involving a total of 376 potential adopters was conducted in an online banking setting in Taiwan. The results confirm previous TAM findings that both efficacy and belief variables have significantly positive direct and indirect effects on adoption, but under the cultural influence of long-term orientation, customers remain hesitant to use online banking because they are more concerned with face-to-face long-term bank relationships to ensure future gratification than with current social status.
10
Gangwar, Hemlata, Hema Date, and A. D. Raoot. "Review on IT adoption: insights from recent technologies." Journal of Enterprise Information Management 27, no. 4 (July 8, 2014): 488–502. http://dx.doi.org/10.1108/jeim-08-2012-0047.
Full textAbstract:
Purpose – The purpose of this paper is to review the literature on information technology adoption in organizations to understand the need of integrated models for technology adoption. It further makes an attempt to identify key parameters to integrate technology acceptance model (TAM) and technology-organization-environment (TOE) framework for firm level technology adoption. This integration is intended to improve predictive power of resulting model. Design/methodology/approach – The research papers are accessed from the popular databases from 2000 to 2012. The selected papers have addressed technology adoption in context of recent technologies such as e-commerce, ERP, RFID, EDI and knowledge management, etc. The paper attempts to review the studies based on TAM model and TOE framework to identify relevant set of variables for the adoption of these technologies in organizations. Findings – TAM and its extended versions have high capability to explain the technology adoption while the significance of TOE framework is similarly recognized in explaining technology adoption. This review presents a holistic picture of a set of variables which can be used in the adoption of similar technologies in future. Further, the study has advocated the integration of TAM model and TOE framework to improve their explanatory power in technology adoption. The identified set of variables of TAM model and TOE framework can be used to integrate the two. Guidelines for integrating the two are also explained. Research limitations/implications – This study provides a platform for studying adoption of similar technologies using integration of TAM and TOE. Practical implications – The researchers and managers can use the set of variables identified for adoption of similar technologies in organizations. Originality/value – The review presents a set of variables which can be used to study adoption of similar technologies in future.
11
Halaweh, Mohanad. "Model of Emerging Technology Adoption (META): Virtual Reality as a Case Study." Journal of Information & Knowledge Management 18, no. 02 (June 2019): 1950020. http://dx.doi.org/10.1142/s0219649219500205.
Full textAbstract:
Although technology acceptance and adoption have been intensively investigated using well-established theories called the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT), this paper claims that Emerging Technology (ET) has particular characteristics that differentiate it from the adoption of traditional technology that has been used for a long time. Therefore, it argues that TAM and IDT are not sufficient to investigate the adoption of ET. Investigating the adoption of ET requires additional, unique, non-traditional factors (constructs). Therefore, this paper aims first to conceptually develop a model of ETs adoption (META). To achieve this objective, TAM and IDT will be reviewed. Then, this paper will use the characteristics of ET as the basis for developing the factors that influence the adoption of ET. Secondly, to validate the model, a case study of an ET (i.e. Virtual Reality) will be analysed in-depth to reveal the factors that influence on its adoption by applying META. A discussion of META applications and implications for future research are also provided.
12
Kirlidog, Melih, and Aygul Kaynak. "Technology Acceptance Model and Determinants of Technology Rejection." International Journal of Information Systems and Social Change 2, no. 4 (October 2011): 1–12. http://dx.doi.org/10.4018/jissc.2011100101.
Full textAbstract:
Technology Acceptance Model (TAM) is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an insight into the causes of the system disuse.
13
Hsiao, Chun-Hua, and Kai-Yu Tang. "Explaining undergraduates’ behavior intention of e-textbook adoption." Library Hi Tech 32, no. 1 (March 11, 2014): 139–63. http://dx.doi.org/10.1108/lht-09-2013-0126.
Full textAbstract:
Purpose – The current study aims to investigate college students' behavioral intentions to adopt e-textbooks for their studies according to well-known theoretical intention-based models. Design/methodology/approach – This paper empirically assesses five theoretical models of technology acceptance, including the theory of planned behavior (TPB), the technology acceptance model (TAM), the decomposed TPB model (DTPB), the combined model of TAM and TPB (C-TAM-TPB), and the unified theory of acceptance and use of technology (UTAUT). The survey methodology and structural equation modeling (SEM) were employed to examine and compare these five models. Moreover, explanatory power, goodness-of-fit indices, and model parsimony were taken into consideration in the model comparisons. Findings – Both TPB and TAM provided less effective but adequate predictive behavioral power. However, TPB appeared to be more parsimonious than TAM and the other models. By focusing on specific beliefs of attitude, social and control influences, DTPB shares many of the same advantages as TPB and TAM, but is less parsimonious. Similarly, C-TAM-TPB, an augmented version of TAM that incorporates social influences and behavioral control, is superior to TPB and TAM in terms of its explanatory power of behavioral intention to use e-textbooks. Overall, however, the results indicated that UTAUT appeared to be the best model in terms of the metrics of parsimonious fit and explanatory power. Originality/value – Theoretical comparison of different models is important. This is believed to be the first study to present model comparisons by investigating undergraduates' intention to adopt e-textbooks as tools for their on-campus learning in Taiwan.
14
Bashir, Irfan, and C. Madhavaiah. "Revisiting Technology Acceptance Model (TAM) at the Individual Internet Banking Adoption Level." Metamorphosis: A Journal of Management Research 13, no. 1 (January 2014): 42–56. http://dx.doi.org/10.1177/0972622520140107.
Full textAbstract:
The purpose of this article is to examine convergence or divergence of Technology Acceptance Model (TAM) based studies in Internet Banking (IB) services on adoption patterns. Literature survey was conducted using convenience sampling in order to cover wide range of journals. A keyword search was conducted and 24 closely related studies were selected for the systematic review in order to provide a comprehensive picture of the existing studies. The review concluded that culture which plays significant role in technology adoption has been ignored in context of IB adoption. This findings show that models with attitude as mediating variable are better predictors of individual IB adoption. Further, it is observed that technological factors such as technological complexity, experience and trust in technology have received very less attention which studying adoption patterns of technology such as IB. This article contributes to existing body of IB adoption literature by incorporating culture as moderating variable into the framework of TAM. In addition, study advances IB literature on attitude and adoption patterns. This article is novel in terms of incorporating cultural dimensions (i.e., uncertainty avoidance, and individualism/ collectivism) as moderators into the frame of extended TAM in context of IB.
15
Chen, Nai-Hua. "Extending a TAM–TTF model with perceptions toward telematics adoption." Asia Pacific Journal of Marketing and Logistics 31, no. 1 (January 14, 2019): 37–54. http://dx.doi.org/10.1108/apjml-02-2018-0074.
Full textAbstract:
Purpose The purpose of this paper is to examine a framework integrating the technology acceptance model (TAM), individuals’ task–technology fit (TTF) and perceptions toward adopting automobile telematics devices. Design/methodology/approach This study integrated the TAM with TTF to understand individual perceptions of a technology’s value. In addition, the intrinsic motivational factors toward technology usage, including positive perceptions (perceived enjoyment, personal innovation and perceived uniqueness) and negative perceptions (perceived risk and performance gap), were considered in the model. Furthermore, the moderating effect of driving experience was examined. Findings The perceived usefulness (PU) of telematics as well as perceived ease of use (PEOU) affected drivers’ adoption intentions. PEOU had a greater effect on adoption intentions than PU, and technology characteristics had a greater effect on TTF than task characteristics. Moreover, individuals’ perceptions of perceived enjoyment and uniqueness affected PU and PEOU. The negative perceptions of perceived risk and performance gap affected PU and PEOU, respectively. Furthermore, driving experience significantly weakened the relationship between PU and intentions. Originality/value Telematics is a niche market due to the development of the Internet of Things, but users’ adoption intentions remain unknown. This study constructed a more comprehensive model and tested the impacts of certain variables on telematics adoption, with driving experience as a crucial moderator.
16
KUSDIBYO, Lusianus, Wahyu RAFDINAL, Eko SUSANTO, Rina SUPRINA, Ikhsan NENDI, and Abdurokhim ABDUROKHIM. "How Smart Are You at Traveling? Adoption of Smart Tourism Technology in Influencing Visiting Tourism Destinations." Journal of Environmental Management and Tourism 14, no. 4 (June 30, 2023): 2015. http://dx.doi.org/10.14505/jemt.14.4(68).13.
Full textAbstract:
This study analyses smart tourism technology adoption's role in influencing visiting destinations by providing unity to the technology acceptance model (TAM) mechanism and the model theory of planned behaviour (TPB), using 324 samples of tourists from Indonesia. This study uncovers eight dimensions of innovative tourism technology by applying exploratory factor analysis. A variance-based structural equation model is used to evaluate the model and test hypotheses. This study reveals that the integrated TAM and TPB model can better explain smart tourism technology adoption and visiting tourism destinations. The integrated model is suitable for adopting smart tourism technology, which is the basis for tourist behaviour in tourist destinations. From its finding, this study offers a foundation for formulating an implementation strategy for using appropriate smart tourism technology to attract tourists. By originality, this study describes empirical evidence to promote the values of the smart tourism technology dimensions in enhancing tourist intention to use smart tourism technology and visit tourism destinations.
17
Gholami, Zahra, Mohmmadhiwa Abdekhoda, and Vahideh Zarea Gavgani. "Determinant Factors in Adopting Mobile Technology-based Services by Academic Librarians." DESIDOC Journal of Library & Information Technology 38, no. 4 (June 27, 2018): 271. http://dx.doi.org/10.14429/djlit.38.4.12676.
Full textAbstract:
<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Nowadays, mobile technology seems to become integral part of our life. People with different careers have </span><span>begun to use it in their jobs. This research aims to identify influential factors in mobile technology adoption at library </span><span>context. To this end, a conceptual model was presented based on an integrated model of technology acceptance model (TAM) and technology organisation and environment (TOE) model. A researcher-made questionnaire was distributed among 120 academic librarians. Seven Factor out of the integrated model of TAM and TOE were chosen </span><span>to investigate their influence on mobile technology adoption. The results of the study suggest that the proposed model (integrated model of TAM and TOE) is a favourable one to identify the influential factors in mobile technology </span><span>adoption at library context. In addition, regression analysis indicated that out of these seven factor, perceived ease of use, perceived usefulness, compatibility, relative advantage and organisational competency are determinant factors in adopting mobile technology-based library services among academic librarians. </span></p></div></div></div>
18
Sorce, James, and Raja R. A. Issa. "Extended Technology Acceptance Model (TAM) for adoption of Information and Communications Technology (ICT) in the US Construction Industry." Journal of Information Technology in Construction 26 (May 19, 2021): 227–48. http://dx.doi.org/10.36680/j.itcon.2021.013.
Full textAbstract:
The global economic impact of the construction industry cannot be overstated. The use of information and communications technology (ICT) offers a potential for massive cost savings and increases in productivity. Unfortunately, the US construction industry lags behind most other US industries in the implementation of ICT. This research sets out to understand what factors improve the use and adoption of ICT in the US construction industry by applying the Technology Acceptance Model (TAM) developed by Davis (1989). The TAM recognized a relationship with actual use of technology based on the premise of behavioral intent (BI) and intended use and that user perceived usefulness (PU) leads to intended use, which translates to actual use. The TAM also recognizes that user perceived ease of use (PEOU) supports the premise of PU enhancing intended use by increasing the PU. This research used independent variables from previous research to serve as a basis for establishing a benchmark for US construction firms. Seventy-six US construction professionals were surveyed for this study. The results showed that the US construction industry follows the TAM model in that if the technology is perceived to be useful it will be adopted, and this seems to be supported by PEOU. Application of this extended TAM in the US construction industry will help companies predict the successful adoption and use of ICT, allowing managers to make more informed decisions in the adoption process.
19
Utami, Tri Lestari Wahyuning. "Technology adoption on online learning during Covid-19 pandemic: implementation of technology acceptance model (TAM)." Diponegoro International Journal of Business 4, no. 1 (June 23, 2021): 8–19. http://dx.doi.org/10.14710/dijb.4.1.2021.8-19.
Full textAbstract:
Individual behavior in technology adoption can be predicted by perception and belief. Implementing TAM, this study aims to analyze the behavioral teaching staff in using Google Apps for online learning. This study examined the effect of perceived usefulness, perceived ease of use, and user training and support on behavioral intention to use technology. We analyzed 108 samples using SPSS Process Model 4 and Model 15 to examine the mediation effect and moderated mediation effect. Our results show that perceived usefulness is confirmed to mediate the perceived ease of use behavioral intention to use technology. However, moderated mediation effect is not supported. This study contributed to advance the empirical evidence on the implications of TAM in analyzing technology adoption.
20
Dah, John, and Norhayati Hussin. "A Conceptual Framework of a Streamlined Extended Technology Acceptance Model for Mobile Application Adoption." International Journal of Social Science Research 9, no. 2 (May 15, 2021): 42. http://dx.doi.org/10.5296/ijssr.v9i2.18649.
Full textAbstract:
Information systems have enjoyed their fair share of success over the years. Various technology adoption theories and models have been used to understand the factors that cause users to harmonize with new technology. Although the technology acceptance model is the most widely used of all technology adoption theories and also gives room for the addition of an external variable, many experts believe that a rudimentary construct should govern its core variables in the field with which it is applied. This believes system birthed the TAM 2 model, which came with an external variable to the extant TAM model. One of the firm beliefs upheld by the TAM model is that “perceived ease of use” fuels users’ intention to accept and adopt new IS systems or otherwise. The TAM 2 or Extended TAM model is driven by the notion that a unique and influential construct in the context of the technology or the object being assessed would improve the result’s accuracy. Therefore, the purpose of this study is to introduce mobile skillfulness as an influential construct that regulates the perception of ease and usefulness in the technology acceptance model for the assessment of mobile-related technologies. This study aims to develop an extended model from the extant TAM model that befits the acceptance assessments of mobile-related technologies such as applications and mobile games. The method used in this article is a literature survey to explore and understand the technology acceptance model (TAM), which would match mobile-related technology. The comprehensive conceptual model has been constructed in this article.
21
Pierce, Tamra P., Christopher Willy, Robert Roncace, and John Bischoff. "Extending The Technology Acceptance Model: Policy Acceptance Model (PAM)." American Journal of Health Sciences (AJHS) 5, no. 2 (November 24, 2014): 129–44. http://dx.doi.org/10.19030/ajhs.v5i2.8963.
Full textAbstract:
Many have studied the process of acceptance and adoption of new ideas and technologies as they are introduced into society. While several models have been used to assess various influencing factors, the Technology Acceptance Model (TAM) is one that is most widely accepted. This model examines people’s acceptance of new technologies based on variables that directly correlate to how the end user views the product. This paper introduces the Policy Acceptance Model (PAM), an expansion of TAM, which is designed for the analysis and evaluation of acceptance of new policy implementation. PAM includes the traditional constructs of TAM and adds the variables of age and ethnicity. The model is experimentally assessed using a survey of people’s attitudes toward the upcoming health care reform from 72 survey respondents. The aim is that the theory behind this model can be used as a framework that will be applicable to studies looking at the introduction of any new or modified policies.
22
Gupta, Swati, Alhamzah Fadhil Abbas, and Rajeev Srivastava. "Technology Acceptance Model (TAM): A Bibliometric Analysis from Inception." Journal of Telecommunications and the Digital Economy 10, no. 3 (September 21, 2022): 77–106. http://dx.doi.org/10.18080/jtde.v10n3.598.
Full textAbstract:
The technology acceptance model (TAM) has long-term implications for management studies. However, the evolution of the literature on technology acceptance ideas received very little attention in the bibliographic review. Few research reviews provided a systematic overview of the development and progress of the TAM literature based on the entire citation network, while many research reviews focused on re-examining the links between TAM components through meta-analysis. This study investigates: a) how TAM research has evolved and expanded over the last 30 years; b) the main areas in which the TAM model has been used; and c) key contributors to TAM research and their collaborations. This bibliometric analysis was carried out based on 8207 papers published in the Scopus database between 1990 and 2020 to assess the feasibility of the model and its applicability. The findings revealed that early TAM research was conducted both by Eastern and Western scholars and that it has since continued to evolve and be shared widely. Nonetheless, most TAM publications have focused on the same narrow domains of computer science, social science, business, management, and accounting and the trendiest topics were usefulness, trust, ease of use, e-learning, adoption, e-commerce, and social media.
23
Alsharida, Rawan A., Maytham M. Hammood, and Mostafa Al-Emran. "Mobile Learning Adoption: A Systematic Review of the Technology Acceptance Model from 2017 to 2020." International Journal of Emerging Technologies in Learning (iJET) 16, no. 05 (March 16, 2021): 147. http://dx.doi.org/10.3991/ijet.v16i05.18093.
Full textAbstract:
Numerous review studies were conducted in the past to understand the applicability of the technology acceptance model (TAM) in m-learning context by examining several issues. Although each of those studies provided a valuable synthesis of TAM, further issues are still uncovered and call for further research. Therefore, this research aims to systematically review the existing TAM-based m-learning studies through the analysis of various issues, including the factors affecting the m-learning adoption, research methods, TAM progress over publication years, online databases, active countries, and sample size. Out of 458 articles collected, a total of 64 studies published between 2017 and 2020 were critically analyzed. The main results indicated that self-efficacy is the most frequent factor affecting the m-learning adoption, followed by subjective norm, enjoyment, mobile anxiety, facilitating conditions, social influence, innovativeness, and satisfaction, respectively. Additionally, most of the analyzed studies have relied on questionnaire surveys in collecting their empirical data. Although it was developed in 1989, the results showed that the number of TAM-based m-learning studies is increasing year by year, which in turn, increases the credibility of the model in explaining the users’ intentions towards technology adoption. We have also discussed the contributions of this systematic review and the implications that it could yield for future attempts.
24
Ladipo, Patrick, Bolajoko Dixon-Ogbech, Nnenna Enyinnaya, and Olushola Akeke. "INFLUENCE OF TECHNOLOGY ACCEPTANCE MODEL (TAM) ON CUSTOMER ADOPTION OF E-BANKING PRACTICE IN LAGOS STATE." Journal of Social Sciences 4, no. 3 (September 2021): 124–38. http://dx.doi.org/10.52326/jss.utm.2021.4(3).13.
Full textAbstract:
This study was put together to examine the influence of TAM (Technology Acceptance Model) extension model on customer adoption of e-banking practice in Lagos state. Furthermore, to capture the extended model four (4) elements of innovation characteristics namely innovation relative advantage, innovation complexity, innovation compatibility and innovation information were added into original TAM model to determine their relationship with customer adoption. The study utilized descriptive research design and collected data through cross-sectional survey method. Validated questionnaires of four hundred copies were given to the needed respondents and the data collected were analyzed using both descriptive and inferential statistical tools. Results revealed a substantial relationship between the dimensions of TAM extension model and customer adoption. The study recommends that an innovation will do very well if the innovation is made to capture all the variables investigated in this study to ensure rapid diffusion/adoption of the innovation for the whole process to be successful.
25
Kumar Sharma, Sujeet, and Srikrishna Madhumohan Govindaluri. "Internet banking adoption in India." Journal of Indian Business Research 6, no. 2 (June 10, 2014): 155–69. http://dx.doi.org/10.1108/jibr-02-2013-0013.
Full textAbstract:
Purpose – The purpose of this paper is to understand the factors influencing adoption of internet banking in urban India. Design/methodology/approach – A model has been proposed based on the technology acceptance model (TAM). The proposed model is referred to as extended TAM and is better suited to identify and quantify the important factors that influence adoption of internet banking technology in India. Primary data relating to the variables affecting technology adoption and demographic profile are collected using a questionnaire survey. Data were collected from 344 individuals who are either current/prospective internet banking users. Structural equation modeling was used to identify the important factors affecting internet banking technology adoption. Findings – The factors of perceived usefulness, perceived ease of use, social influence, awareness, quality of internet connection and computer self-efficacy are primary determinants of the attitude toward the use of internet banking in urban India. The attitude toward the use of internet banking can be used to predict the intention to use internet banking systems by users. Practical implications – This research enables internet banking service providers in urban India to design new service offerings or modify current service offerings to achieve higher adoption rates in internet banking. Originality/value – The paper investigates the adoption of internet technologies by banking users by proposing an extended TAM model that is more appropriate to capture the issues related to adoption in urban India. The paper is of value to researchers in the area of technology adoption and banking service providers in urban India.
26
Wicaksono, Aulia Rizki, Erna Maulina, Muhamad Rizal, and Margo Purnomo. "Technology Accepted Model (TAM): Applications in Accounting Systems." Journal of Law and Sustainable Development 11, no. 5 (August 28, 2023): e547. http://dx.doi.org/10.55908/sdgs.v11i5.547.
Full textAbstract:
Objective: This research was conducted to measure how the adoption of accounting information systems affects startups. The researchers used perceived usefulness, perceved ease of use and added percected strategic value factors to the technology acceptance model, whether these factors could predict related intentions to adopt technology in the context of the startup company. Method: The approach used in this research uses a quantitative approach, while for the analysis of research data, researchers use SEM-PLS. The survey respondent was a company with a sample size of 109. The data is collected using random probability sampling. Perceived usefulness, perceived ease of use and perceved strategic value have a significant positive impact on the adoption of accounting information systems. Result: Bekasi, Indonesia. This can negatively affect the generalization of results. Furthermore, the study focuses entirely on the user perspective of the company, while the researchers have not yet looked at this issue from the service provider’s perspective. Therefore, future research should look at such challenges from a service provider’s perspective. As well, the researchers also believe that many other important factors are related to the company’s behavior in determining the use of technology as a strategic step. Conclusion: This study can provide contributions related to the determining factors for the company in planning to adopt technology. Therefore, the study has successfully formulated important aspects of perceived strategic value as a factor proposed in the technology acceptance model. It also helps provide practical guidance for companies in considering and predicting whether to adopt a technology.
27
Bhattacharyya, Som Sekhar, Surabhi Verma, and Gayathri Sampath. "Ethical expectations and ethnocentric thinking: exploring the adequacy of technology acceptance model for millennial consumers on multisided platforms." International Journal of Ethics and Systems 36, no. 4 (October 7, 2020): 465–89. http://dx.doi.org/10.1108/ijoes-04-2020-0039.
Full textAbstract:
Purpose Multisided platforms (MSPs) have become omnipresent. Millennial consumers have taken well to MSPs. It has become imperative to explicate the process of adoption of MSPs by millennials. The purpose of this study is to comprehend the factors that lead to the adoption of MSPs by millennials beyond the factors identified in the technology acceptance model (TAM). Design/methodology/approach Data was collected from 252 respondents through a structured survey questionnaire to comprehend MSP adoption. Partial least squares structured equation modelling was applied for analysis. Findings The theoretical lens of TAM was applied for the study. Results indicated that over and above TAM, millennials’ intention to use of MSPs was moderated by ethical expectations, as well as ethnocentric thinking. The study, thus, extended TAM theoretical conversation by including factors of consumer ethnocentric behaviour and customer ethical considerations. Research limitations/implications This study modifies the TAM factors theoretically by including two new factors, namely, customers’ ethical expectations and ethnocentric thinking. Practical implications This study results would help MSP firm managers comprehend the importance of consideration of consumer ethnocentric behaviour and customer ethical considerations. Thus, managers have to include in their MSPs’ aspects of customers’ ethical expectations and ethnocentric thinking while marketing their MSPs’ while doing business with millennials. Originality/value This was one of the first studies that extended TAM by adding the factors of ethical expectations and ethnocentric thinking in the context of MSP adoption for millennial customers.
28
Et. al., A. Naga Bhushan. "Farm Technology Adoption In Farming:An Application Oftam Model." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 5479–85. http://dx.doi.org/10.17762/turcomat.v12i3.2207.
Full textAbstract:
In the present study we analyze the farmers’ perception towards adoption of technology such as technology adoption for better productivity in farming. The considered constructs are adopted from Technology adoption model (TAM). A total sample of 165seasonal farmers who grow millets from the Guntur district are considered through simple random technique and out of which survey respondents irregular responses are eliminated finally 150 samples are determined for statistical analysis. Factor analysis was performed to determine the latent factors and their dependent association with intention for adoption was observed with regression analysis. Results are reported and discussions are made as per the results and in correlation between results and previous literature and finally, suggestions and future indication for extension of the study are proposed.
29
Abu-Shanab, Emad, and Osamah Ghaleb. "Adoption of Mobile Commerce Technology." International Journal of Technology Diffusion 3, no. 2 (April 2012): 36–49. http://dx.doi.org/10.4018/jtd.2012040104.
Full textAbstract:
This research extended the Technology Acceptance Model (TAM) with perceived trust and perceived risks (security and privacy concerns) constructs to identify the impact of these factors on Jordanian users’ intentions to adopt mobile commerce (m-commerce). An empirical test was used utilizing 132 responses from students in two public universities in Jordan. Results indicated that perceived trust, perceived usefulness, and perceived ease of use are major influencers of mobile commerce adoption. On the other hand, perceived risk factors (security and privacy concerns) were not significant in this relation. Discussion, conclusion and future work are stated at the end of this paper.
30
Kumar, Dr Sachin. "Enhancing Effectiveness of E-Learning: Lessons from Technology Adoption Model." Journal of Advances in Education and Philosophy 6, no. 4 (April 21, 2022): 224–27. http://dx.doi.org/10.36348/jaep.2022.v06i04.004.
Full textAbstract:
A number of policies, missions and programmes have been initiated to facilitate e-learning enabled by information and communication technologies (ICTs) over recent years both by central as well as state governments in order to enhance effectiveness of teaching-learning process. However, tangible outcomes of such initiatives have been limited so far due to a number of factors especially in government institutions. While in some cases the core reason has been availability, accessibility, adequacy and quality of ICT tools, in many cases intention to use such technologies by teachers has been found conspicuous by its absence. The present paper uses the theoretical framework of the Technology Acceptance Model (TAM) to deduce relevant lessons. The objective is not to deliberate on the nuances of the model but simply to pick out a few relevant constructs in light of the author’s own experience of technology adoption in the context of schools and colleges of Himachal Pradesh. After briefly outlining the key tenets of TAM, the paper articulates the rationale for adopting this model and finally discusses key lessons for increasing acceptance of such technologies among educational stakeholders. Since COVID 19 has already created a rationale for adopting technology-enabled learning methodologies, the recommendations of this paper are likely to improve the efficacy and effectiveness of current and future initiatives.
31
Wallace, Linda G., and Steven D. Sheetz. "The adoption of software measures: A technology acceptance model (TAM) perspective." Information & Management 51, no. 2 (March 2014): 249–59. http://dx.doi.org/10.1016/j.im.2013.12.003.
Full text
32
Marakarkandy, Bijith, Nilay Yajnik, and Chandan Dasgupta. "Enabling internet banking adoption." Journal of Enterprise Information Management 30, no. 2 (March 6, 2017): 263–94. http://dx.doi.org/10.1108/jeim-10-2015-0094.
Full textAbstract:
Purpose The integration of relevant antecedents into TAM would lead to better understanding of the decision factors which act as enablers for the adoption of internet banking. The purpose of the paper is to determine the influence of the antecedents subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk, trialability and government support on the existing constructs of the technology acceptance model (TAM) and to test measurement invariance and the moderating effect of the demographic variables on the relationship between the latent constructs used in this augmented TAM. Design/methodology/approach A survey questionnaire was administered on internet banking users and a total of 300 responses were collected. A two-step approach suggested by Hair et al. (2006) and Schumacker and Lomax (2004) was used in this study. The proposed model was assessed using the confirmatory factor analysis approach. The structural model was then tested in order to establish nomological validity. The data based on four demographic dimensions gender, age, income, education were divided into two groups for each of these demographic dimensions. The invariance test was first performed on the measurement model and then on the structural model. The measurement model and structural model were subjected to tests of equivalence of parameters across groups. Findings To a large extent the results of the study supports the proposed model and thereby contributes to understand the influence of subjective norm, image, banks initiative, internet banking self-efficacy, internet usage efficacy, trust, perceived risk and government support on internet banking adoption. The predictor variables in the augmented TAM were able to explain 29.9 per cent of the variance in the actual usage of internet banking as compared to the TAM which was able to explain only 26.5 per cent variance in the actual usage of internet banking. A significant difference in the relationship between the different constructs of the model was observed when the model was subjected to multi-group invariance testing. Research limitations/implications The study suffers from the same limitations as most other studies involving TAM. In this study self-reported measures about the usage were taken as the actual usage. The findings of the study can be of use to marketers for target-specific marketing by customizing the marketing campaign focussing on the factors that were found to be strong influencers leading to the usage of internet banking for each target audience. Originality/value The main challenge in this study was to develop the conceptual model for the internet banking adoption by extending the TAM and to get a robust theoretical support from the extant literature for the relevant factors along with their relationship to uncover new insights about factors responsible for the internet banking adoption. The augmented model had an improved predictive capability and explanatory utility.
33
Mahmood, Asif, Muhammad Imran, and Kamran Adil. "Modeling Individual Beliefs to Transfigure Technology Readiness into Technology Acceptance in Financial Institutions." SAGE Open 13, no. 1 (January 2023): 215824402211497. http://dx.doi.org/10.1177/21582440221149718.
Full textAbstract:
Over the past few decades, financial institutions have been considerably influenced by swift technological advancements. Therefore, it is critical to understand employees’ reactions and adoption of cutting-edge technologies in order to build up their morale, efficiency and work quality. Furthermore, there is slow technology adoption and learning in Pakistani financial institutions owing to a lack of infrastructure, lack of trust, improper knowledge, security, and quality of services offered by financial institutions. Thus, this study intentions to empirically examine the effects of personality dimensions (optimism, innovativeness, discomfort, and insecurity) of TRI (Technology Readiness Index) on the cognitive dimensions of TAM (Technology Acceptance Model) for online readiness, as well as to investigate this relationship with the moderating role of individual beliefs (subjective norms and self-efficacy) in financial institutions of Pakistan. In this study, a self-administered questionnaire was utilized to acquire 351 valid responses from the employees of financial institutions in Pakistan. The model was tested employing the collected data with the help of the Partial Least Structural Equation Modeling (PLS-SEM) technique applied through SmartPLS 3.3.2 software. The findings reveal that both technology readiness and technology acceptance are cardinal in shaping employees’ behavioral intentions toward the internet banking system. Furthermore, the results posit that individual beliefs significantly concatenate TRI and TAM into TRAM. This study suggests that integrating TRI with TAM in relationship with moderating roles of subjective norms and self-efficacy would give countenance to the employees of financial institutions in adopting avant-garde technology to boost their efficiency and work quality.
34
Arbaiza, Cesar Salas, Hugo Vega Huerta, and Ciro Rodriguez Rodriguez. "Contributions to the Technological Adoption Model for the Peruvian Agro-Export Sector." International Journal of E-Adoption 13, no. 1 (January 2021): 1–17. http://dx.doi.org/10.4018/ijea.2021010101.
Full textAbstract:
This paper proposes a technology adoption model called TAM 4, based on the TAM model considering the trust and perceived risk factors to the adoption of technology in response to governments' concern to achieve competitiveness in the most important economic activities. The methodology used considers the predictive method. The sample was selected from 67 companies related to foreign trade that carry out agro export tasks, with a confidence level of 90% and an error percentage of ± 10% and the 0.787 of Cronbach's Alpha obtained for the instrument's validation. In conclusion, 97% of the companies informally adopt technology. This shows that 68% of the companies surveyed in the sector would be willing to adopt the model.
35
Sundarraj, R. P., and Nick Manochehri. "Application of an Extended TAM Model for Online Banking Adoption." Information Resources Management Journal 24, no. 1 (January 2011): 1–13. http://dx.doi.org/10.4018/irmj.2011010101.
Full textAbstract:
The understanding of factors leading to the acceptance or rejection of information systems (IS) is important and relevant. Although there have been studies examining the adoption of Internet Banking (IB), research on this topic in the Gulf context and from an IS perspective is lacking, even though societal factors are acknowledged as having an impact on technology adoption. To fill this gap, this paper uses a version of the Technology Acceptance Model (TAM), extended by the compatibility and trust constructs. An empirical study, using students from a large university in the region, validates the research model.
36
Alam, Syed Shah, Samiha Susmit, Chieh-Yu Lin, Mohammad Masukujjaman, and Yi-Hui Ho. "Factors Affecting Augmented Reality Adoption in the Retail Industry." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 2 (May 25, 2021): 142. http://dx.doi.org/10.3390/joitmc7020142.
Full textAbstract:
Augmented reality (AR) technology is a computer-generated object that allows users to enrich the experience of products virtually with graphics, images, etc. Due to a lack of studies in developing countries like Malaysia, more studies are necessary to understand the pressing factors of diffusing AR technology for the flourishing retail industry. This research aimed to explore the factors affecting the adoption of AR technology in the retail sector through an extension of the technology acceptance model (TAM). The conceptual model was developed based on additional open-innovation-related constructs to the existing TAM constructs. To test the model, data were collected from 233 retail stores in Malaysia using a structured questionnaire survey. The PLS-based structural equation modeling technique was used to analyze the data. The empirical results confirmed that, except for external support and trading partner pressure, other factors, including perceived usefulness, attitude, competitive pressure, customer pressure, perceived cost, and technological knowledge have significant influences on the intention to use AR technology in retail stores. The attitude mediates the relationship between perceived usefulness and behavioral intention and the relationship between self-efficacy and behavioral intention. As operating cost was a critical factor, managers are advised to deliver various packages of after-sales services and free installation charges to curb expenses. This study improved TAM by offering a comprehensive model with cognitive and open innovation factors and provided suggestions for retail stores when they attempt to adopt AR technology to develop an open business model.
37
Brandon-Jones, Alistair, and Katri Kauppi. "Examining the antecedents of the technology acceptance model within e-procurement." International Journal of Operations & Production Management 38, no. 1 (January 2, 2018): 22–42. http://dx.doi.org/10.1108/ijopm-06-2015-0346.
Full textAbstract:
Purpose Despite the widespread organisational adoption of e-procurement systems, we continue to witness disappointing performance outcomes from their implementation. This can be explained largely by the failure of many organisations to translate the initial adoption decision, made at an organisational level, into individual-level acceptance of e-procurement by an organisation’s employees. The purpose of this paper is to examine the key antecedents of the technology acceptance model (TAM) for employees expected to use e-procurement systems in their day-to-day activities. Design/methodology/approach In this study, the authors apply and extend the TAM to examine the factors that influence the acceptance of e-procurement by individual employees. The authors’ focus is on the potential role of user-perceived e-procurement quality dimensions as the antecedents to the TAM’s cognitive mechanisms of perceived usefulness and perceived ease of use. The structural equation model uses the survey data collected from 139 e-procurement users at a university in the Netherlands. Findings The results confirm the core TAM relationships within an e-procurement context. Extending the TAM model to explore the antecedents, the authors find that the e-procurement quality dimensions of processing, usability, and professionalism impact the levels of individual employee e-procurement acceptance. Interestingly, the system-level dimensions (processing and usability) appear to play a greater role than the support dimensions (professionalism) in these cognitive mechanisms. Practical implications The findings indicate that the need for e-procurement training and on-going support may be lessened by initial effective design covering system navigation and system usability and by ensuring that an e-procurement system has expedient information and product flows between the buyer and supplier. Originality/value To the authors’ knowledge, this is the first study to explore the TAM and, more critically, its antecedents within an e-procurement context. It is also the first to empirically validate this extended model. Finally, by shifting the focus from the more typical organisational-level adoption to an individual employee acceptance unit of analysis, the authors provide a better understanding of how organisations can gain the most from investments in e-procurement and other similar e-supply chain management technologies.
38
Altamimi, Ahmad, Mahmood Al-Bashayreh, Mohammad AL-Oudat, and Dmaithan Almajali. "Blockchain technology adoption for sustainable learning." International Journal of Data and Network Science 6, no. 3 (2022): 983–94. http://dx.doi.org/10.5267/j.ijdns.2022.1.013.
Full textAbstract:
Sustainable Learning and Education (SLE) is a recent emerging philosophy founded on sustainability principles and in response to the UN announced Sustainable Development Goals (SDGs). Therefore, technologies should be implemented to empower educational institutions to achieve SLE. This study aims to investigate the factors impacting the intentions of using blockchain technology for SLE in Jordanian universities. Accordingly, an extended Technology Acceptance Model (TAM) is proposed where five more factors are integrated. To this end, an extended model was proposed and validated using structural equation modeling based on 407 responses collected using an online survey. The results showed that adopted factors significantly impact blockchain use in SLE. We believe that the study finding would assist decision-makers in building systems for sustainable learning and education for the Jordanian higher educational institutes.
39
Candy, Candy, Shellyna Shellyna, Justyanita Justyanita, and Kristiani Kristiani. "E-wallet Adoption: Technology Acceptance Model and COVID-19." Jurnal Inovasi Ekonomi 7, no. 02 (May 25, 2022): 91–100. http://dx.doi.org/10.22219/jiko.v7i02.20385.
Full textAbstract:
The development of information technology has almost entered all economic and daily activities, such as in the financial aspect (financial technology). Since the pandemic, many e-wallets have been used as digital payment tools in Batam city, especially ShopeePay. Therefore, this study aims to analyze the level of adoption of ShopeePay by utilizing the TAM component and perceived risk, which refers to disease risk known as perceived COVID-19 risk. Purposive sampling is used as a sampling technique, with 179 samples obtained through google Forms filed by respondents. The results of this study found that there is a significant influence between perceived usefulness and ease of use on behavioral intention. Meanwhile, perceived COVID-19 risk does not significantly affect behavioral intention.
40
Candy, Candy, Shellyna Shellyna, Justyanita Justyanita, and Kristiani Kristiani. "E-wallet Adoption: Technology Acceptance Model and COVID-19." Jurnal Inovasi Ekonomi 7, no. 01 (May 25, 2022): 91–100. http://dx.doi.org/10.22219/jiko.v7i01.20385.
Full textAbstract:
The development of information technology has almost entered all economic and daily activities, such as in the financial aspect (financial technology). Since the pandemic, many e-wallets have been used as digital payment tools in Batam city, especially ShopeePay. Therefore, this study aims to analyze the level of adoption of ShopeePay by utilizing the TAM component and perceived risk, which refers to disease risk known as perceived COVID-19 risk. Purposive sampling is used as a sampling technique, with 179 samples obtained through google Forms filed by respondents. The results of this study found that there is a significant influence between perceived usefulness and ease of use on behavioral intention. Meanwhile, perceived COVID-19 risk does not significantly affect behavioral intention.
41
Suryawirawan, Okto Aditya. "The effect of college students’ technology acceptance on e-commerce adoption." BISMA (Bisnis dan Manajemen) 14, no. 1 (October 29, 2021): 46–62. http://dx.doi.org/10.26740/bisma.v14n1.p46-62.
Full textAbstract:
This study aims to investigate e-commerce adoption using extended technology acceptance model (TAM) by adding self-efficacy and anxiety. The research samples included 233 undergraduate students were collected using an online survey form distributed through chat groups and social media. The collected data were analysed using partial least square-structural equation modelling (PLS-SEM) to investigate the proposed hypotheses in the model. This study found that self-efficacy has no impact towards perceived usefulness, self-efficacy has positive significant impact towards perceived ease of use, anxiety has no impact on both perceived usefulness and perceived ease of use, perceived usefulness has positive significant impact towards attitude, perceived ease of use has no impact towards attitude, perceived ease of use has positive significant impact on perceived usefulness, perceived usefulness has no impact towards e-commerce adoption, perceived ease of use has positive significant impact towards e-commerce adoption, and attitude has a positive significant impact towards e-commerce adoption. These findings further confirmed that TAM not only could be used to predict e-ticketing, e-learning, e-payment, and e-commerce purchase adoption but also e-commerce entrepreneurship. This study also further confirmed that the relationship between extended variable such as self-efficacy and anxiety with TAM variables might vary according to where the investigation was being held.
42
Saleh, Saman Sattar, Muesser Nat, and Musbah Aqel. "Sustainable Adoption of E-Learning from the TAM Perspective." Sustainability 14, no. 6 (March 21, 2022): 3690. http://dx.doi.org/10.3390/su14063690.
Full textAbstract:
This study investigates the imperative to adopt e-learning and how it influences educational process sustainability. For developing countries, adopting e-learning has always been a challenge because of the lack of mechanisms due to the resistance of teachers and students, low level of information and communication technology (ICT) literacy, and lack of ICT infrastructure. A quantitative research methodology was used by applying a hypothesized extended model of the technology acceptance model (TAM) for the adoption of e-learning. The factors were investigated by analyzing the intentions of 367 students and teachers. Data were collected through an online questionnaire. This study aims to identify the factors that influence students’ and teachers’ attitudes toward the adoption of sustainable e-learning and illustrate the moderating role of the mentality acceptance factor in the relationship between system trust and interaction, on the one hand, and PU and PEOU on the other. Findings of the study indicated that all TAM constructs significantly impact the BI of e-learning use. Additionally, the results showed that mentality acceptance substantially moderates the relationship between system trust and interaction, on the one hand, and PU and PEOU on the other. These findings suggest that educational institutions should focus on factors influencing teachers’ and students’ attitudes toward adopting and using e-learning services. Lack of internet connection, ICT skills, and technology capabilities are the main issues, and the main TAM constructs of all factors.
43
Ibrahim, Muhammad, Muhammad Khalil Shahid, and Shuja Ahmed Syed. "DEVELOPING A TECHNOLOGY ACCEPTANCE MODEL FOR THE MOBILE BANKING ADOPTION IN PAKISTAN." December 2020 36, no. 02 (December 28, 2020): 64–73. http://dx.doi.org/10.51380/gujr-36-02-06.
Full textAbstract:
The Technology Acceptance Model (TAM) is a simplistic information system. The improved features of new technology strongly impact the consumer's use of it. The objective of the research was to develop TAM for online banking in Pakistan. This research was the primary research wherein data was collected from five hundred respondents which were students of universities of private and government sector (Islamabad/ Rawalpindi cities) through questionnaires. Correlation and regression tests were conducted via SPSS software; correlation analysis showed that a significant positive relationship exists without ethics among all the factors. In regression analysis value of R2 = 0.621 it indicates that every independent variable has 62% impact on dependent variable, model has capability to predict future results of research. The research result suggested that ethics and ethical values are the main hurdles in adoption of the mobile banking in Pakistan. The research findings will help the business managers and related organizations to reconstruct their business strategies in order to capture and retain the maximum potential customers.
44
Agustina, Duwi. "Extension of Technology Acceptance Model (Etam): Adoption of Cryptocurrency Online Trading Technology." Jurnal Ekonomi 24, no. 2 (September 26, 2019): 272. http://dx.doi.org/10.24912/je.v24i2.591.
Full textAbstract:
The main idea of the study was to determine the influence of the antecedents (trialability and compexity) on the existing constructs of Technology Acceptance Model (TAM) and to test measurement invariance on the relationship between the latent constructs used in this extended version of Technology Acceptance Model (ETAM). A survey questionnaire was administered on Cyptocurrency mobile applicantions users and a total of 41 responses were collected. The research model was assessed using SEM-PLS approach. The structural model was then tested in order to establish validity & reliabelity. The invariance test was first performed on the measurement model and then on the structural model using SmartPLS 3.0. The predictor variables in ETAM were able to explain 44,9% of the variance in actual usage of Cryptocurrency mobile applications.
45
Aydin, Gokhan. "Adoption of Gamified Systems." International Journal of Online Marketing 5, no. 3 (July 2015): 18–37. http://dx.doi.org/10.4018/ijom.2015070102.
Full textAbstract:
This study aims to understand the factors affecting the attitude towards and adoption of gamified systems, which are receiving increasing interest worldwide as they can be used for attitude change and increasing user engagement in a wide range of areas. Whether individuals use these systems because they consider them useful or if there are other motivational factors deemed important are analysed. Considering the gamification applications as new technology applications, an extended technology acceptance model (TAM) is used based on existing literature to explain attitude formation and adoption of gamified systems. An online survey is carried out on a social networking gamification website (EmpireAvenue.com) and the collected data is analysed using partial least squares structural equation modelling (PLS-SEM). The findings indicate that extended TAM incorporating intrinsic motivation elements (enjoyment and playfulness) is able to explain attitudes towards and continued use intention for a gamified system.
46
Baabdullah, Abdullah M., Ali A. Alalwan, Nripendra P. Rana, Pushp Patil, and Yogesh K. Dwivedi. "An integrated model for m-banking adoption in Saudi Arabia." International Journal of Bank Marketing 37, no. 2 (April 1, 2019): 452–78. http://dx.doi.org/10.1108/ijbm-07-2018-0183.
Full textAbstract:
PurposeThe purpose of this paper is to identify and examine the most important factors that could predict the Saudi customer’s continued intention towards adoption of mobile banking.Design/methodology/approachThe proposed conceptual model was based on the technology acceptance model (TAM) and task-technology fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data were collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia.FindingsThe main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness and TTF on the customers’ continued intention to use mobile banking.Research limitations/implicationsThe moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data were also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking.Originality/valueThis study represents a worthy attempt to test such novel technology (m-banking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of m-banking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model.
47
Saji, T. G., and Deepa Paul. "Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model." Metamorphosis: A Journal of Management Research 17, no. 2 (September 5, 2018): 111–19. http://dx.doi.org/10.1177/0972622518792802.
Full textAbstract:
This research, using an extended version of classical technology acceptance model (TAM), investigates the factors influencing the adoption behaviour of mobile technology in banking. Survey data on 214 banking customers in Kerala were analysed under a structural equation modeling (SEM) framework and the results confirm the usefulness of TAM in predicting mobile banking adoption behaviour. The exogenous constructs from the original TAM, perceived usefulness (PU), and perceived ease of use (PEU) along with two additional constructs in the extended model, perceived credibility (PC) and perceived self-efficacy (PSE), emerged out as significant antecedents of the behavioural intention of customers, especially of an educated youth, towards the use of mobile technology in banking. Findings ultimately suggest that accurate and consistent identification of customers’ propensity to adopt technology banking provides strategic map to banks from emerging markets to grow in underserved markets, achieve omni-channel presence, and disrupt value chain components.
48
Rahimi, Bahlol, Hamed Nadri, Hadi Lotfnezhad Afshar, and Toomas Timpka. "A Systematic Review of the Technology Acceptance Model in Health Informatics." Applied Clinical Informatics 09, no. 03 (July 2018): 604–34. http://dx.doi.org/10.1055/s-0038-1668091.
Full textAbstract:
Background One common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM). Objective This article reviews published research on TAM use in health information systems development and implementation with regard to application areas and model extensions after its initial introduction. Method An electronic literature search supplemented by citation searching was conducted on February 2017 of the Web of Science, PubMed, and Scopus databases, yielding a total of 492 references. Upon eliminating duplicates and applying inclusion and exclusion criteria, 134 articles were retained. These articles were appraised and divided into three categories according to research topic: studies using the original TAM, studies using an extended TAM, and acceptance model comparisons including the TAM. Results The review identified three main information and communication technology (ICT) application areas for the TAM in health services: telemedicine, electronic health records, and mobile applications. The original TAM was found to have been extended to fit dynamic health service environments by integration of components from theoretical frameworks such as the theory of planned behavior and unified theory of acceptance and use of technology, as well as by adding variables in specific contextual settings. These variables frequently reflected the concepts subjective norm and self-efficacy, but also compatibility, experience, training, anxiety, habit, and facilitators were considered. Conclusion Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.
49
Lee, Chang Boon Patrick, and Lin Hammer Xia. "AN ONLINE SPORTS BETTING ADOPTION MODEL." Journal of Gambling Business and Economics 3, no. 1 (January 2, 2013): 23–40. http://dx.doi.org/10.5750/jgbe.v3i1.540.
Full textAbstract:
The objective of this research was to validate an online sports betting adoption model among students in a tertiary institution. The research model incorporated key constructs in the Technology Acceptance Model (TAM) and two other constructs – gambling belief and subjective norm. Data collected from a questionnaire survey were used to test the model. The results, based on 212 survey returns, supported all the hypotheses proposed in this study. They showed that perceived usefulness, perceived ease of use, attitude, gambling belief, and subjective norm had either direct or indirect influence on intention to bet online. The study discussed the implications of the results for industry practitioners and gambling counselors.
50
Ramjan, Sarawut, and Purimprach Sangkaew. "Understanding the adoption of autonomous vehicles in Thailand: an extended TAM approach." Engineering Management in Production and Services 14, no. 1 (March 1, 2022): 49–62. http://dx.doi.org/10.2478/emj-2022-0005.
Full textAbstract:
Abstract Autonomous vehicles (AVs) are receiving attention in many countries, including Thailand. However, implementing an intelligent transport system has many challenges, such as safety and reliability and the lack of policy supporting such technology use, leading to hazards for passengers and pedestrians. Hence, factors affecting the adoption of autonomous vehicles require better understanding. This research proposes and employs an extended Technology Acceptance Model (TAM) by integrating ethical standards, legal concerns, and trust to predict the intended use of autonomous vehicles by Thai citizens. A total of 318 questionnaires were collected from online panel respondents. Research hypotheses were tested using a structural equation modelling approach. The study results suggest that ethical standards have a significant positive effect on the intention to use the technology. Meanwhile, the intention was negatively affected by perceived usefulness, perceived ease of use and legal concerns. On the other hand, the results indicate that perceived ease of use directly affected trust, leading to AV adoption. However, other factors influenced trust insignificantly. This study demonstrates the vital role of trust in AV adoption. The study also suggests ideas for further study and discusses the implications for the government and autonomous vehicle companies. The article aims to forecast a success factor that the Thai government should use to consider the policy for autonomous vehicle adoption in Thailand. This paper relies on the technology acceptance model to assess and forecast autonomous vehicle adoption. The theoretical model also includes ethical issues, legal concerns and trust in technology. The model was analysed using the structure equation modelling technique to confirm the factor affecting Thailand’s successful autonomous vehicle adoption. This research confirmed that ethical standards, legal concerns, and trust in technology are the factors significantly affecting the intention to use an autonomous vehicle in Thailand. On the other hand, the perceived ease of use significantly affects the trust in autonomous vehicle technology. This research found that such social factors as ethical standards, legal concerns, and trust in technology affect technology adoption significantly, especially technology related to AI operation. Therefore, the technology acceptance model could be modified to confirm technology adoption in terms of social factors. The government could use the research results to develop a public policy for the regulation and standard supporting autonomous vehicle adoption in Thailand.