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Journal articles on the topic 'Information acceptance model (IACM)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Park, Tiwa. "How information acceptance model predicts customer loyalty?" Bottom Line 33, no. 1 (January 13, 2020): 60–73. http://dx.doi.org/10.1108/bl-10-2019-0116.

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Purpose This study aims to explore the influence of electronic word of mouth (eWOM) in social media on customer loyalty by using the information acceptance model (IACM). For this purpose, this study identified the relationship of attitude towards information, information credibility, information quality and information with information usefulness. Later, the relation of information usefulness and information adoption was examined. According to the IACM, this information adoption and attitude towards information can affect behavioural outcomes of customer, and the authors used customer loyalty as a behavioural outcome. Design/methodology/approach This study collected the data from students enrolled in different universities of Thailand. More specifically, those students were considered appropriate for study who were active Facebook users. Therefore, a questionnaire was posted in 83 different Facebook groups of university students, from which 771 students responded properly. SPSS and AMOS 24 were used to conduct data reliability, descriptive and correlation analysis, confirmatory factor analysis (CFA), and structural equation modelling (SEM). Findings The study found that credibility, quality, usefulness and adoption of information, need of information and attitude towards information are the key factors of eWOM in social media that influence consumers’ loyalty. Practical implications This study will be helpful for marketing managers in studying patterns of customer loyalty because many studies have previously examined purchase behaviour or purchase intention only. Moreover, it will provide framework to marketers for understanding the influence of eWOM information in social media on customer loyalty. Originality/value This study is to explore the effect of credibility, quality, usefulness and adoption of information, need of information and attitude towards information on consumers’ loyalty.
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Hidayat, Wahyutama Fitri, Rangga Sanjaya, and Ali Mustopa. "Analisis Niat Pembelian Pada Instagram Online Shopping Menggunakan Information Acceptance Model (IACM)." Bianglala Informatika 8, no. 1 (June 3, 2020): 22–30. http://dx.doi.org/10.31294/bi.v8i1.7837.

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Along with the development of technology and information, it also has an impact on the product sales media, one of which is through Instagram online shopping. The results of the surf show that comments (electronic word of mount) are on Instagram online shopping. This study aims to analyze the effect of the electronic word of month (EWOM) on purchase intentions using the Information Acceptance Model (IACM) model. The method used in this research is descriptive quantitative to find out the cause and effect relationship of IACM variables. The population in this research is Instagram users who have seen product promotions through Instagram. The sampling technique used is incidental sampling by distributing questionnaires online. The data analysis technique used is multiple linear regression analysis. Based on the results of the research, it can be concluded that the electronic word of mount found on Instagram online shopping has a significant partial effect on purchase intention. This can be seen from the results of the calculation of all the t-count variables 0.191 and the significance level 0.05. Based on the results of the calculation of the determination coefficient (R2), the magnitude of the effect on the benefits of information is information quality 19.5%, information credibility 41.3%, information needs 13.9%, and attitudes towards information 28.6%. The results of information adoption are affected by 11.2% of the benefits of information. Other lts show that 24.9% of information adoption affects purchase intentions. While attitudes toward information affect 38.9% of purchase intentions.
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Sánchez Torres, Javier A., Francisco-Javier Arroyo-Cañada, Maria-Llüisa Solé-Moro, and Ana Argila-Irurita. "Impact of gender on the acceptance of electronic word-of-mouth (eWOM) information in Spain." Contaduría y Administración 63, no. 4 (August 15, 2018): 61. http://dx.doi.org/10.22201/fca.24488410e.2018.1428.

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<p>The aim of this paper is to explore the differences between males and females in the acceptance of eWOM information. For this purpose, the Information Acceptance Model (IACM), which addresses the characteristics that are evaluated in the use and attitude towards the use of information and play a role in the purchase decision-making process, as demonstrated in the literature, has been used as a reference.<strong> </strong>An empirical model, which is expected to be validated from the information collected through an online questionnaire completed by 271 users of social networking sites in Spain, has been used. A structural equation model (SEM) is introduced to calculate the measurement structure of the variables and the relationships between them. This paper provides useful insights into the understanding of the differences in the behaviour of males and females regarding online eWOM, and therefore could imply differentiated online marketing and reputation management activities. </p><p> </p>
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Nuriman Izudin, Amar, Endang Ruswanti, and Moehammad Unggul Januarko. "The Effect of YouTube eWOM on Consumer Buying Interest." Revista CEA 6, no. 12 (July 30, 2020): 167–79. http://dx.doi.org/10.22430/24223182.1618.

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YouTube creates valuable social media opportunities in eWOM content. Individuals currently discuss products and other matters with their friends and new acquaintances over the internet. The purpose of this study was to determine the effect of YouTube eWOM conversations on consumer buying interest. Based on the Information Adoption Model (AIM) and the Theory of Reasoned Action (TRAM), we developed a new conceptual model: The Information Acceptance Model (IACM). In this quantitative study, the population under analysis, composed of followers of a YouTube channel, was selected using purposive sampling so that the number of respondents was 200. We implemented data analysis techniques using the Structural Equation Model with Lisrel. The results show that information quality, information credibility, information needs, information usefulness, information adoption, and attitude towards information influence consumer buying interest.
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Gökerik, Mehmet, Ahmet Gürbüz, Ismail Erkan, Emmanuel Mogaji, and Serap Sap. "Surprise me with your ads! The impacts of guerrilla marketing in social media on brand image." Asia Pacific Journal of Marketing and Logistics 30, no. 5 (November 12, 2018): 1222–38. http://dx.doi.org/10.1108/apjml-10-2017-0257.

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Purpose The advent of social media brought a new perspective for guerrilla marketing since it allows ads to reach more people through the internet. The purpose of this paper is to investigate the influence of guerrilla marketing in social media on brand image. Design/methodology/approach A conceptual model was developed based on the information acceptance model (IACM). The research model was validated through structural equation modelling based on the surveys of 385 university students. Findings The results support the proposed model and confirm that guerrilla marketing in social media has a positive effect on both functional and symbolic brand image. Research limitations/implications This study was conducted with university students. This sample was deemed appropriate since the study had to be conducted with people who use social media. However, although the age group of university students constitutes the majority of social media users, they may not fully represent the whole population. Also, this study showed four guerrilla marketing examples to participants before they commenced filling in the questionnaire. Although the authors selected the most generic guerrilla advertisements during the pilot tests and eliminated the ones which were difficult to understand, this can still be considered as limitations of the study. Practical implications This study has both theoretical and managerial implications. First, most of the guerrilla marketing studies focus on consumers and neglect possible impacts on brands. In order to fulfil this gap in the literature, this study investigates the influence of guerrilla marketing in brand image. Besides, this study contributes to IACM by expanding its scope through testing its determinants on “brand image”. It proves that IACM is valid for use in different contexts. On the managerial side, this study provides marketers with a frame of reference to understand the information adoption process of guerrilla marketing on social media. Originality/value Current studies regarding the influence of guerrilla marketing mostly focus on consumers, where the possible impacts on brands have been relatively neglected. This study attempts to fill this gap by focussing on the brand image.
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Teixeira, Miguel, António Andrade, and Carla Martins. "Electronic word-of-mouth e a sua influência na intenção de compra dos utilizadores do Facebook." Gestão e Desenvolvimento, no. 26 (January 1, 2018): 3–38. http://dx.doi.org/10.7559/gestaoedesenvolvimento.2018.653.

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Os websites de social media são principalmente impulsionados por conteúdos gerados pelos indivíduos e a sua popularidade exponenciou a capacidade de influência das comunicações interpessoais sobre produtos ou serviços no comportamento dos consumidores entre redes sociais online. Este estudo examinou os determinantes do Electronic Word-of-Mouth (eWOM) transmitido pela lista de contactos no Facebook que influenciam a intenção de compra dos consumidores. O modelo testado é adaptado do modelo Information Acceptance (IACM) de Erkan e Evans (2016). Os objetivos de pesquisa consistem na investigação de características da informação (qualidade e credibilidade de informação), do recetor (atitude em relação à informação e necessidades de informação) e do emissor (credibilidade da fonte) que exercem maior impacto na influência do eWOM no comportamento do consumidor. A utilidade da informação foi considerada como antecedente chave das respostas de comportamento (adoção da informação e intenção de compra). Dados recolhidos através de um questionário online a 294 utilizadores do Facebook residentes em Portugal foram analisados através da técnica de modelação de equações estruturais baseada no método de mínimos quadrados parciais (PLS-SEM). As características do recetor demonstraram ter o maior nível de influência na intenção de compra. A qualidade da informação não demonstrou efeito sobre a intenção de compra. Adicionalmente, a credibilidade da informação apresentou um efeito mediador total sobre a qualidade da informação e a credibilidade da fonte na perceção de utilidade de informação.
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Sumanti, Rati. "Upaya Peningkatan Kapabilitas Aparat Pengawasan Intern Pemerintah (APIP) di Aceh Melalui Internal Audit Capability Model (IACM)." Jurnal Borneo Administrator 16, no. 2 (August 24, 2020): 137–58. http://dx.doi.org/10.24258/jba.v16i2.654.

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Internal Government Supervisory Apparatus (APIP) is an actor who conducts internal audit. The top level of capability of APIP shows that APIP is getting better in carrying out its role as an internal supervisor. However, not all APIP in Aceh have a good level of capability. Therefore, the Aceh BPKP Representative as the APIP supervisor agency seeks to increase the level of APIP capabilities through the Internal Audit Capability Model (IACM). This study aims to describe how the implementation of IACM in the region is proven to increase the capability level of APIP. Using a qualitative approach with a case study method, interviews were conducted with officials in the Aceh BPKP who were considered being representative so they could provide accurate information on the problem under study. There are 6 elements capability of APIP comprising 24 key process areas to reach level 3. Representatives of BPKP Aceh have improved capabilities of the six elements capability of APIP. Coaching conducted comprehensively has fulfilled 24 key process areas required in IACM including coaching and consulting activities. The findings in this study showed that of the 24 APIP in Aceh, 16 APIP or 67% have increased capability levels. This means that implementing IACM conducted by the Aceh BPKP Representative shows a positive impact on improving the capabilities of APIP. So this research contributes to the practice where other local governments can adopt the efforts and improvements that need to be made according to the six elements of APIP capabilities. Keywords: Internal Audit, Internal Government Supervisory Apparatus (APIP), Capabilityof APIP, Finance and Development Supervisory Agency (BPKP) Abstrak Aparat Pengawasan Intern Pemerintah (APIP) adalah aktor yang melakukan pengawasan intern. Tingginya level kapabilitas APIP menunjukkan semakin baik pula APIP dalam menjalankan perannya sebagai pengawas intern. Namun demikian, belum semua APIP di Aceh memiliki level kapabilitas yang baik. Oleh karenanya, Perwakilan BPKP Aceh selaku instansi pembina APIP berupaya melakukan peningkatan level kapabilitas APIP melalui Internal Audit Capability Model (IACM). Penelitian ini bertujuan untuk melihat gambaran bagaimana penerapan IACM di daerah apakah terbukti mampu meningkatkan level kapabilitas APIP. Menggunakan pendekatan kualitatif dengan metode studi kasus, dilakukan wawancara kepada Pejabat di Perwakilan BPKP Aceh yang dianggap representatif sehingga dapat memberikan informasi yang akurat terhadap masalah yang diteliti. Ada 6 elemen kapabilitas APIP yang terdiri atas 24 area proses kunci untuk mencapai level 3. Perwakilan BPKP Aceh telah meningkatkan kapabilitas pada enam elemen kapabilitas APIP tersebut. Pembinaan yang dilakukan secara komprehensif telah memenuhi 24 area proses kunci yang dipersyaratkan dalam IACM, yang meliputi kegiatan pembinaan dan konsultasi. Temuan dalam penelitian ini menunjukkan bahwa dari 24 APIP di wilayah Aceh, 16 APIP Pemerintah Daerah atau 67% mengalami peningkatan level kapabilitas. Hal ini berarti penerapan IACM yang dilakukan oleh Perwakilan BPKP Aceh menunjukkan dampak positif bagi peningkatan kapabilitas APIP, sehingga penelitian ini memberikan kontribusi praktik sehingga pemerintah daerah lainnya dapat mengadopsi upaya-upaya serta perbaikan yang perlu dilakukan sesuai enam elemen kapabilitas APIP. Kata kunci: Pengawasan Internal, Aparat Pengawasan Intern Pemerintah (APIP), Kapabilitas APIP, Badan Pengawasan Keuangan dan Pembangunan (BPKP)
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Handayani, P. W., A. N. Hidayanto, A. A. Pinem, I. C. Hapsari, P. I. Sandhyaduhita, and I. Budi. "Acceptance model of a Hospital Information System." International Journal of Medical Informatics 99 (March 2017): 11–28. http://dx.doi.org/10.1016/j.ijmedinf.2016.12.004.

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9

Nurhayati, Siti, and Nurul Hidayat. "Acceptance Measurement of Health Insurance Information System Based on Technology Acceptance Model." Jurnal Kesehatan Masyarakat 14, no. 2 (November 5, 2018): 254–63. http://dx.doi.org/10.15294/kemas.v14i2.11374.

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The objective of this research is to evaluate P-Care BPJS information system based on Technology Acceptance Model (TAM). The type of research is analytical, cross sectional approach. Number of respondents 206 P-Care BPJS users at primary health care. Data analysis using linear regression. Based on correlation test external variables with percieved usefulness, showed high correlation = 0.6 (p <0.001); external variables with percieved ease of use showed moderate correlation = 0.4 (p <0.001); perceived ease of use with attitude showed moderate correlation = 0.5 (p <0.001); percieved usefulness with attitude showed high correlation = 0.7 (p <0.001); perceived usefulness with actual use showed moderate correlation = 0.5 (p <0.001); behavioral intention to use with percieved usefulness showed moderate correlation = 0.5 (p <0.001); attitude with behavioral intention to use showed high correlation = 0.6 (p <0.001); behavioral intention to use with actual use showed high correlation = 0.7 (p <0.001).
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Khoi, Bui Huy. "Technology Acceptance Model in the Managing Information System." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 869–76. http://dx.doi.org/10.5373/jardcs/v12sp7/20202177.

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Hong, Lee, Kim, and Yu. "Acceptance Model for Mobile Building Information Modeling (BIM)." Applied Sciences 9, no. 18 (September 4, 2019): 3668. http://dx.doi.org/10.3390/app9183668.

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Mobile Building Information Modeling (BIM) is noted for tools that enable the systematic interchange of information and contribute to enhancing collaborative performance through BIM. BIM programs, which are continuously available in the mobile environment, have been developed. Moreover, in some sites, mobile BIM is applied to generate benefits in projects. Various efforts are being made to use mobile BIM; however, its utilization is low. Also, mobile BIM has lacked an analysis of the factors that affect actual users’ acceptance of mobile BIM. Therefore, this study analyzes the factors that affect the acceptance of mobile BIM by construction practitioners and presents the association of factors as a model to activate mobile BIM use. To this end, this study analyzed a literature review for suggesting the factors that were expected to affect mobile BIM acceptance. The assessment items were decided based on the analysis result. Second, 111 copies were received by surveying the construction practitioners. Third, it identified factors that significantly affected the acceptance of mobile BIM and proposed models through factor analysis and structural equation models. Finally, based on the analysis, it presented the findings. This study expects to contribute to enhanced acceptance of mobile BIM technology by managing the significant factors properly. Also, it is expected that the result can be used to develop a variety of mobile BIM that is more easily acceptable to them. This study presented a model for accepting mobile BIM based on the survey results of Korean practitioners; therefore, it is necessary to explore ways to generalize the model in the future.
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Pedersen, P. E., T. Gundersen, O. Hejlesen, and R. Fensli. "Sensor Acceptance Model – Measuring Patient Acceptance of Wearable Sensors." Methods of Information in Medicine 47, no. 01 (2008): 89–95. http://dx.doi.org/10.3414/me9106.

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Summary Objectives: This project focuses on how patients respond to wearable biomedical sensors, since patient acceptance of this type of monitoring technology is essential for enhancing the quality of the data being measured. There is a lack of validated questionnaires measuring patient acceptance of telemedical solutions, and little information is known of how patients evaluate the use of wearable sensors. Methods: In information systems research, surveys are commonly used to evaluate the user satisfaction of software programs. Based on this tradition and adding measures of patient satisfaction and health-related quality of life (HRQoL), a Sensor Acceptance Model is developed. The model is made operational using two questionnaires developed for measuring the patients’ perceived acceptance of wearable sensors. Results: The model is tested with 11 patients using a newly developed wearable ECG sensor, and with 25 patients in a reference group using a traditional “Holter Recorder”. Construct validity is evaluated by confirmatory factor analysis, and internal consistency is calculated using the Cronbach’s alpha coefficient. Sensor Acceptance Index (SAI) is calculated for each patient, showing reasonable dependencies and variance in scores. Conclusions: This study attempts to identify patients’ acceptance of wearable sensors, describing a user acceptance model. Understanding the patients’ behavior and motivation represents a step forward in designing suitable technical solutions, and calculations of SAI can, hopefully, be used to compare different wearable sensor solutions. However, this instrument needs more extensive testing with a broader sample size, with different types of sensors and by explorative follow-up interviews.
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Benamati, John, and T. M. Rajkumar. "An Outsourcing Acceptance Model." Information Resources Management Journal 21, no. 2 (April 2008): 80–102. http://dx.doi.org/10.4018/irmj.2008040105.

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Mathieson, Kieran, Eileen Peacock, and Wynne W. Chin. "Extending the technology acceptance model." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 32, no. 3 (July 2001): 86–112. http://dx.doi.org/10.1145/506724.506730.

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Shih, Hung-Pin. "Extended technology acceptance model of Internet utilization behavior." Information & Management 41, no. 6 (July 2004): 719–29. http://dx.doi.org/10.1016/j.im.2003.08.009.

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Cheney, Thomas. "An Acceptance Model for Useful and Fun Information Systems." Human Technology: An Interdisciplinary Journal on Humans in ICT Environments 2, no. 2 (October 31, 2006): 225–35. http://dx.doi.org/10.17011/ht/urn.2006520.

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Moghbeli, Fateme, Mostafa Langarizadeh, Azita Kouhestani, and Azam Orooji. "Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model." Iranian Journal of Medical Informatics 7 (May 23, 2018): 1. http://dx.doi.org/10.24200/ijmi.v7i0.147.

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Introduction: The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot describe the users’ behavior in the environments like the Hospital Information System. From the technology acceptance standpoint at the individual acceptance level, the present paper tends to develop a Technology Acceptance Model with introducing some external factors.Material and Methods: This study was conducted in 2017. The research population was included 185 nurses who works in Health Information Management (HIM) departments of Tehran University of Medical Sciences. A questionnaire was developed in order to gather the required data. The validity was obtained by panel of experts and the reliability was examined and then confirmed in a 50 person sample using the Cronbach’s Alpha (a=0.93). The Likert’s five item scale was applied. The data were analyzed using descriptive statistics, exploratory factor analysis, and path analysis.Results: The behavioral intention was affected significantly and positively by the factors of perceived usefulness, perceived ease of use, self-efficacy, end user support, social norm, trust, job relevance, and training, with trust having the highest level of effects. Also perceived ease of use had a significant effect on perceived usefulness along with an indirect effect on behavioral intention through perceived usefulness. The factors of anxiety, voluntariness, and facilitating conditions showed no significant effects on behavioral intention.Conclusion: The factors of trust, perceived usefulness, social norm, end user support, and self-efficacy have an impact on the behavioral intention of the users utilizing the Hospital Information System in the concerning hospitals. These factors could explain 72% of the changes of behavioral intention. Concentrating on them would lead to the improvement of the acceptance and Hospital Information System efficiency.
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Rizal, Mukhammad Fakhir, Aris Puji Widodo, and Oky Dwi Nurhayati. "Analysis of Acceptance of Toddler Nutrition Monitoring Information System using Technology Acceptance Model (TAM)." International Journal of Computer Applications 175, no. 11 (August 17, 2020): 23–30. http://dx.doi.org/10.5120/ijca2020920597.

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Ismael, Hadi Khalil, and Aree Mohammed Ali. "Investigating University Student’s Acceptance of Information and Communication Technology: Applying the Technology Acceptance Model." ISSUE EIGHT 5, no. 1 (June 30, 2021): 65–72. http://dx.doi.org/10.25079/ukhjss.v5n1y2021.pp65-72.

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Building on the technology acceptance model (TAM), this study examines university student’s acceptance of information and communication technology (ICT) as a learning resource outside of the classroom. With the aim of looking more deeply into this subject, the study applied the technology acceptance model to recognize the effect of perceived usefulness on the student’s actual use of ICT with the existence of perceived usefulness as a moderator variable. Data were collected from 376 students from Duhok Polytechnic University in the Kurdistan Region of Iraq using a questionnaire survey consisting of 15 items developed based on the related literature. The results support that both perceived ease of use and perceived usefulness are key determinants of student’s actual use of ICT as a learning resource, and the relationship between perceived ease of use and actual use is moderated by perceived usefulness. Based on the findings, conclusions, implications, limitations, and an outlook for future studies were made. The originality of this study stems from the use of perceived usefulness as a moderator on the relationship between perceived ease of use and actual use of ICT among university students.
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Abdekhoda, M., A. Dehnad, A. F. Hosseini, and M. Ahmadi. "Information Technology Acceptance in Health Information Management." Methods of Information in Medicine 53, no. 01 (2014): 14–20. http://dx.doi.org/10.3414/me13-01-0079.

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SummaryObjective: User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM.Methods: This was a descriptive- analytical study in which a sample of 187 personnel from a population of 363 personnel, working in medical records departments of hospitals affiliated to Tehran University of Medical Sciences, was selected. Users’ perception of applying information technology was studiedby a researcher-developed questionnaire. Collected data were analyzed by SPSS software (version16) using descriptive statistics and regression analysis.Results: The results suggest that TAM is a useful construct to assess user acceptance of information technology in the context of HIM. The findings also evidenced the per -ceived ease of use (PEOU) and perceived usefulness (PE) were positively associated with favorable users’ attitudes towards HIM. PU was relatively more associated ( r= 0.22, p = 0.05) than PEOU (r = 0.014, p = 0.05) with favorable user attitudes towards HIM.Conclusions: Users’ perception of usefulness and ease of use are important determinants providing the incentive for users to accept information technologies when the application of a successful HIM system is attempted. The findings of the present study suggest that user acceptance is a key element and should subsequently be the major concern of health organizations and health policy makers.
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Pinpathomrat, Nakarin. "Cultural Model of Information Technology Usage (CMITU)." Global Journal of Information Technology: Emerging Technologies 7, no. 2 (August 13, 2017): 42–49. http://dx.doi.org/10.18844/gjit.v7i2.2227.

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Abstract Since usage is a necessary condition for deriving benefit from information technology and the use by the end users is not guaranteed, one of the main streams of research in the field is the explanation of acceptance and use. Increasingly, it appears that researchers are shifting focus from Technology Acceptance Model (TAM) to Unified Theory of Acceptance and Use of Technology (UTAUT). The main contribution of the UTAUT to the TAM was the addition of demographic variables (such as age, gender, and experience with IT) and situational variable (voluntariness) as the main moderators of beliefs on technology usage. This paper extends this line of research beyond these moderator variables. Given recent trends in the globalization of business and the prominence of multinational team members, managers in multinational companies are now confronted with the need for increasing usage of information technology from a workforce comprised of different cultures. Furthermore, without understanding the role of cultural values in IT usage, it could be hard for developers to design and guide systems development in ways that are appropriate in different cultures. Since individuals are conditioned by their culture and the suggestion form prior research that UTAUT model do not universally hold across cultures, this paper extends the UTAUT model by espousing national cultural values as an important set of individual difference moderators. These espoused national cultural values of masculinity/femininity, individualism/collectivism, power distance and uncertainty avoidance are incorporated into an extended model of UTAUT as moderators. At this stage, the model was constructed and will be explained in this paper. The future work is the validation of the model in which a cross-sectional survey will be conducted in two countries varying in term of culture according to Hofstede’s cultural dimensions’ indexes. The findings may provide a useful lens for the successful implement of information technology in multinational and transnational organizations. Keywords: Information Technology, user’s acceptance, use of information technology, national culture, cultural change.
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Park, Kunsoon, Narang Park, and Wookjae Heo. "Factors Influencing Intranet Acceptance in Restaurant Industry: Use of Technology Acceptance Model." International Business Research 11, no. 10 (September 20, 2018): 1. http://dx.doi.org/10.5539/ibr.v11n10p1.

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This study examines factors influencing the user acceptance of intranets in the restaurant industry. The study uses the application of the technology acceptance model (TAM) in explaining intranet usage in restaurant operations. The TAM is an exceptional model for which to predict system usage and has been successfully applied to numerous technologies. The original model was modified to include two independent variables: organization support and information quality. The survey collected data from restaurants in the United States. The results of the study showed that perceived usefulness was the main factor influencing intranet acceptance, while organization support, information quality, and perceived ease of use were not significant in the regression analysis. The findings indicate perceived usefulness of intranet use requires focus in order to improve communications in restaurant franchise systems.
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Zaman, Sobia. "Consumer Acceptance of Online Banking: Application of Technology Acceptance Model." IBT Journal of Business Studies 14, no. 2 (2018): 41–52. http://dx.doi.org/10.46745/ilma.jbs.2018.14.02.04.

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This research reports the findings of a study concerning the acceptance of online banking in Pakistan. It investigates customer's adoption within the context of Pakistan online banking services whereby the research frame work is based on the extension of Technology Acceptance Model. The research model included factors that would influence the acceptance of online banking. The frame work dimensions includes online banking usage, quality of internet connection, perceived enjoyment, perceived usefulness, perceived ease of use and security & privacy. A survey was conducted to gather the data for study. Reliability, correlation and factor analysis were used to analyse the data. Results showed that quality of internet connection, amount of information on online banking and security and privacy has positive influence on online banking usage. Theoretical contributions and practical implications of the findings are discussed in the paper and suggestions for future research are proposed.
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Darsono, Licen Indahwati. "Examining Information Technology Acceptance by Individual Professionals." Gadjah Mada International Journal of Business 7, no. 2 (June 12, 2005): 155. http://dx.doi.org/10.22146/gamaijb.5576.

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The mixed results of information technology (IT) investment have made the investigation of user acceptance of IT increasingly challenging. A growing body of research in user acceptance of IT literature has limited focus on individual professionals as target users. Therefore, this research investigates how external variables, namely individual differences and system characteristics influence lecturers as individual professionals to accept the internet technology. Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) are used as the main reference in this research. Findings of this research indicate that individual differences (computer self-efficacy, knowledge of search domain) and system characteristics (terminology, screen design, relevance) have indirect impact through perceived ease of use, perceived usefulness, and attitude on lecturers’ intention to use the internet. Specifically, computer self-efficacy and screen design have direct and indirect impact on intention. One issue concerning with the explanatory power of the proposed research model, which is based on TAM and TPB, compared to the rival model, which is called extended TAM, is also analyzed.
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Setiawati, Erma, Rina Trisnawati, and Ulfi Diana. "THE ANALYSIS OF ACCEPTANCE OF HOSPITAL INFORMATION MANAGEMENT SYSTEM (HIMS) USING TECHNOLOGY ACCEPTANCE MODEL METHOD." Riset Akuntansi dan Keuangan Indonesia 4, no. 2 (September 29, 2019): 186–95. http://dx.doi.org/10.23917/reaksi.v4i2.8652.

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The purpose of this study was to determine the acceptance of Hospital Management Information Systems related to accounting transactions using the Technology Acceptance Model (TAM) methode. Constructs in TAM used are Perceived Ease of Use, Perceived Usefulness, Behavior Intention to Use, and Actual Technology Usage. The population in this study were users of systems related to accounting transactions, with a total of 150 people. The sampling technique using the convenience non random sampling method. The data in this study were obtained by distributing questionnaires to 150 respondents. Data analysis using SEM-PLS with WarpPLS 5.0 software. The results showed that Perceived ease of use had an effect on Perceived usefulness and Behavior Intention to Use. Whereas, Perceived Usefulness influences Behavior Intention to Use, and Behavior Intention to Use has an effect on Actual Technology Usage. Keywords: Technology Acceptance Model, Partial Least Square, Hospital Management Information System, Accounting Management System
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Silva, Leiser. "Post-positivist Review of Technology Acceptance Model." Journal of the Association for Information Systems 8, no. 4 (April 2007): 255–66. http://dx.doi.org/10.17705/1jais.00121.

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Kumarahadi, Yovita Kinanti, and Kumaratih Sandradewi. "Technology Acceptance Model pada Sistem Informasi Akademik berbasis Web." Jurnal Ilmiah SINUS 19, no. 2 (July 15, 2021): 49. http://dx.doi.org/10.30646/sinus.v19i2.534.

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Academic information system is an important system in students learning’s activities because it’s used as connector between students and lecturers. In addition, academic information system also acts as a liaison between lecturers and other relevant external parties. Academic information system provides several services, both for students and lecturers. These facilities include the provision of information on study plans, grades, schedules, and courses. However, only a few facilities are frequently used so that the use of the academic information system is not optimal.The problem in this study is the need for an evaluation to determine the acceptance of the academic information system by users, so that the system can be improved and developed. This study aims to determine the acceptance of web-based academic information system by users at STMIK Sinar Nusantara Surakarta with the Technology Acceptance Model or TAM.
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Barhoumi, Chokri. "User acceptance of the e-information service as information resource." New Library World 117, no. 9/10 (October 10, 2016): 626–43. http://dx.doi.org/10.1108/nlw-06-2016-0045.

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Purpose The purpose of this paper is to extend significantly the technology acceptance model (TAM) of Davis to design an extended TAM model to be used in the evaluation and assessment of e-information services for information research such as e-library services. The present TAM extension is based on two variables of behavioral intention: the perceived ease of use and perceived usefulness of a system. Furthermore, the user satisfaction, free access, information architecture, content richness, policies and rules, publishers’ quality, system self-efficacy and task technology fit were incorporated into the TAM to extend it with other factors theoretically motivated and would be of interest more generally. Design/methodology/approach The researcher adopted an experimental approach-based comparison between an experimental group (107 researchers) using an electronic information service (the e-library service of the university) and a control group (107 researchers) not registered in this e-information service of the university. Findings The researcher used the effect size values based t-test independent samples at the 0.05 level to adapt the structural model equation to the experimental sample. Principal results show that the behavioral intention was influenced significantly by user satisfaction. The perceived usefulness of the e-library services was influenced significantly by the perceived ease of use, information architecture, content richness, free access, publishers’ quality, task-technology fit and e-library service self-efficacy. Originality/value This paper is useful in advancing a framework for the evaluation and assessment of the electronic information service used for information research and exploring users’ attitudes toward using that service.
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Park, Eun Soo, and Min Seo Park. "Factors of the Technology Acceptance Model for Construction IT." Applied Sciences 10, no. 22 (November 23, 2020): 8299. http://dx.doi.org/10.3390/app10228299.

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The use of information technology is spreading in the construction field. However, the use of information technology in the construction field does not conform to the requirements and characteristics of users who use information technology. This fact is blindly accepted by the government and client demands, which is an impediment to the dissemination of information technology in the construction field. To improve the use of information technology in the construction field, this study analyzes the factors of acceptance of information technology according to the characteristics of users who use information technology in the construction field based on Davis’ technology acceptance model. As a result of the analysis, we found that if users consider IT in the construction industry easy to use, spontaneous attitude and behavioral intention are to be expected. Moreover, acceptance type, educational satisfaction, usage enjoyment, and usage experience are the factors that impact perceived usefulness, and educational satisfaction and usage enjoyment impact perceived ease of use as well. This study aims to derive factors that maximize the approachability and usefulness of users through the use of a technology acceptance model in construction prior to the application of new information technology in the construction field.
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Bhattacherjee and Sanford. "Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model." MIS Quarterly 30, no. 4 (2006): 805. http://dx.doi.org/10.2307/25148755.

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ZHANG, Nan, Xun-hua GUO, and Guo-qing CHEN. "Extended Information Technology Initial Acceptance Model and Its Empirical Test." Systems Engineering - Theory & Practice 27, no. 9 (September 2007): 123–30. http://dx.doi.org/10.1016/s1874-8651(08)60057-5.

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Chau, Patrick Y. K., and Paul Jen-Hwa Hu. "Information Technology Acceptance by Individual Professionals: A Model Comparison Approach." Decision Sciences 32, no. 4 (December 2001): 699–719. http://dx.doi.org/10.1111/j.1540-5915.2001.tb00978.x.

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Franz, Charles R. "A Descriptive Model for End-User Acceptance of Information Centers." Information Resources Management Journal 4, no. 4 (October 1991): 14–27. http://dx.doi.org/10.4018/irmj.1991100102.

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Farzandipour, Mehrdad, Somayyeh Ravandi, Hamidreza Gilasi, and Nabiallah Soleimani. "Iranian Health Information Technology Acceptance Model (IHITAM) from Users' Views." Acta Informatica Medica 27, no. 4 (2019): 245. http://dx.doi.org/10.5455/aim.2019.27.245-252.

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Nugroho, Heru Santoso Wahito, Hari Basuki Notobroto, and Lilin Rosyanti. "Acceptance Model of a Mandatory Health Information System in Indonesia." Healthcare Informatics Research 27, no. 2 (April 30, 2021): 127–36. http://dx.doi.org/10.4258/hir.2021.27.2.127.

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Uğur, Naciye Güliz, and Aykut Hamit Turan. "Mobile Applications Acceptance." International Journal of E-Adoption 11, no. 2 (July 2019): 13–30. http://dx.doi.org/10.4018/ijea.2019070102.

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Mobile apps are now an integral part of our daily life, with people spending an average of 30 hours per month with them. On the other hand, according to the existing literature, one in four installed apps is never been used and also there are thousands of rarely downloaded apps on mobile platforms. In this context, investigating the factors influencing the behavioral intentions to use mobile apps and finding out what make some apps popular are important research areas for scientists as well as practitioners. This study integrates constructs from the technology acceptance model (TAM), theory of planned behavior (TPB), unified theory of acceptance and use of technology model (UTAUT) and the uses and gratifications theory (UGT) into a new theoretical model and tests them. The study was conducted by using a structured questionnaire to collect data from 1654 student respondents from a large state university. The theoretical research model was tested with structural equation model (SEM).
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Ilmi, Mainatul, Fetri Setyo Liyundira, Afria Rachmawati, Deni Juliasari, and Palupi Habsari. "Perkembangan Dan Penerapan Theory Of Acceptance Model (TAM) Di Indonesia." RELASI : JURNAL EKONOMI 16, no. 2 (July 29, 2020): 436–58. http://dx.doi.org/10.31967/relasi.v16i2.371.

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The article tellsabout model of technology acceptance. A system used by the end user necessary to test whether the system effectively and efficiently can be applied by user. Technology Acceptance Model (TAM) adopted the Theory of Reasoned Action (TRA) that is widely used to predict the acceptance and usefulness of the system information. TAM usesa comparison between the Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB). TAM is designed to predict the acceptance or use of information systems by usersand profit for a job. An acceptance of the theory of information systems began to be implemented in Indonesia from 2004 until today, which adopts the model proposed Davis et al in 1989. The theory was apparently accepted by the public to assess the acceptance of a system by the user based on its core construct perceived Ease of Use (PEOU) and perceived usefulness (PU). In Indonesia some researchers are implementing TAM 1989 at different locations, in various sectors as well as the time and different situations by using several different methods of analysis in each study. A significant result of variables in TAM lead this theory can be applied further in other information systems in Indonesia in addition to that already done the research for TAM is very easyto apply and be accepted by the public in a variety of sectors, namely in the public sector, business or private. Keywords: Technology Acceptance Model (TAM), perceived Ease of Use, perceived usefulness, system information
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Horton, Robin P., Tamsin Buck, Patrick E. Waterson, and Chris W. Clegg. "Explaining Intranet use with the Technology Acceptance Model." Journal of Information Technology 16, no. 4 (December 2001): 237–49. http://dx.doi.org/10.1080/02683960110102407.

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This paper considers the application of the technology acceptance model (TAM) in explaining intranet usage in two organizations. The TAM was originally developed for explaining technology acceptance and has since been successfully applied to a number of technologies. Its suitability for modelling intranet use is considered here. The model is tested in two UK companies from the banking and engineering sectors. Study 1 finds that the TAM may be valuable as a tool for helping with analysing and understanding intranet usage. The second study indicates that its applicability may be variable between intranets and demonstrates that self-report and actual measures of usage are not interchangeable when applying such a model. The findings have implications for previous and current research employing the TAM and for intranet research in general.
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Djamasbi, Soussan, Diane M. Strong, and Mark Dishaw. "Affect and acceptance: Examining the effects of positive mood on the technology acceptance model." Decision Support Systems 48, no. 2 (January 2010): 383–94. http://dx.doi.org/10.1016/j.dss.2009.10.002.

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Molin, Eric. "Causal Analysis of Hydrogen Acceptance." Transportation Research Record: Journal of the Transportation Research Board 1941, no. 1 (January 2005): 115–21. http://dx.doi.org/10.1177/0361198105194100114.

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This paper presents and discusses a structural equation model on hydrogen acceptance. This model unravels the direct and indirect effects among personal characteristics, knowledge about hydrogen, perceptions, attitudes, and willingness to use hydrogen applications. In addition, indicators of differently colored information that can be provided by mass media have been included as explanatory variables. The estimated model indicates that colored information directly influences perceptions of hydrogen and indirectly influences attitudes about hydrogen and willingness to use it. In particular, negatively colored information decreases hydrogen acceptance, which cannot be counterbalanced by providing positively colored information. Furthermore, the model suggests that more factual knowledge about hydrogen increases its acceptance. The paper further discusses the likely development of hydrogen acceptance in the future and how practitioners can influence this.
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Money, William, and Arch Turner. "Assessing Knowledge Management System User Acceptance with the Technology Acceptance Model." International Journal of Knowledge Management 1, no. 1 (January 2005): 8–26. http://dx.doi.org/10.4018/jkm.2005010101.

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Yang, Zhihe, Yaowu Wang, and Chengshuang Sun. "EMERGING INFORMATION TECHNOLOGY ACCEPTANCE MODEL FOR THE DEVELOPMENT OF SMART CONSTRUCTION SYSTEM." Journal of Civil Engineering and Management 24, no. 6 (October 10, 2018): 457–68. http://dx.doi.org/10.3846/jcem.2018.5186.

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The potential of emerging information technology has been proposed by many researchers and practitioners in the construction industry, including smart construction. Meanwhile, emerging information technology acceptance and use is one of the major subjects for current smart construction study and practice. Furthermore, although there are many potential applications for and benefits of emerging information technology in the development of smart construction system, the current issue is that it is unclear why this technology is adopted, and that the factors that enhance its implementation are unknown. Therefore, an emerging information technology acceptance model (EITAM) was proposed, and our hypotheses were tested by structural equation modeling (SEM) based on an open-ended questionnaire survey. This study identified the factors that affect emerging information technology acceptance from engineering construction technology and innovation professionals. The EITAM evaluation results can be used to develop an emerging information technology acceptance strategy that is suitable for continual smart construction promotion. Finally, this study can provide guidance to smart construction developers to establish an effective technological integration plan.
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Lin, Hsien-Cheng. "Nursesʼ Satisfaction With Using Nursing Information Systems From Technology Acceptance Model and Information Systems Success Model Perspectives." CIN: Computers, Informatics, Nursing 35, no. 2 (February 2017): 91–99. http://dx.doi.org/10.1097/cin.0000000000000293.

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MARTONO, S., Ahmad NURKHIN, Hasan MUKHIBAD, Indah ANISYKURLILLAH, and Christian Wiradendi WOLOR. "Understanding the Employee’s Intention to Use Information System: Technology Acceptance Model and Information System Success Model Approach." Journal of Asian Finance, Economics and Business 7, no. 10 (October 31, 2020): 1007–13. http://dx.doi.org/10.13106/jafeb.2020.vol7.no10.1007.

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Huynh, Quang Linh. "The effect of organizational culture on quality of accounting information: Mediating the role of accounting information system." Accounting 7, no. 7 (2021): 1689–94. http://dx.doi.org/10.5267/j.ac.2021.4.030.

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Organizational culture has been documented as a driving force of the acceptance of accounting information systems in business and accounting information quality; whereas accounting information quality as a causation of the acceptance of accounting information systems in business. The acceptance of accounting information systems in business could mediate the causal connection from organizational culture to accounting information quality. Nonetheless, nearly none of the projects has assessed the mediating role of the acceptance of accounting information systems in business, especially in Vietnam as a developing country. The current research tries to investigate the mediation of the acceptance of accounting information systems in business in the research model. The findings indicate that the acceptance of accounting information systems in business transmits part of the influence of organizational culture on accounting information quality. The current research could make some contributions to how executives ought to decide on organizational culture as well as on the acceptance of accounting information systems in business so that their organizational performance could be improved.
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Dishaw, Mark T., and Diane M. Strong. "Extending the technology acceptance model with task–technology fit constructs." Information & Management 36, no. 1 (July 1999): 9–21. http://dx.doi.org/10.1016/s0378-7206(98)00101-3.

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Roberts, Peter, and Ron Henderson. "Information technology acceptance in a sample of government employees: a test of the technology acceptance model." Interacting with Computers 12, no. 5 (April 2000): 427–43. http://dx.doi.org/10.1016/s0953-5438(98)00068-x.

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Ketikidis, Panayiotis, Tomislav Dimitrovski, Lambros Lazuras, and Peter A. Bath. "Acceptance of health information technology in health professionals: An application of the revised technology acceptance model." Health Informatics Journal 18, no. 2 (June 2012): 124–34. http://dx.doi.org/10.1177/1460458211435425.

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Zaller, John. "Information, Values, and Opinion." American Political Science Review 85, no. 4 (December 1991): 1215–37. http://dx.doi.org/10.2307/1963943.

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Past research has modeled mass opinion change as a two-step process involving reception of political communication and acceptance or rejection of that communication. I propose a two-message version of the reception-acceptance model, in which citizens are exposed to two opposing communication flows, either or both of which may affect their opinions. Variation over time in the relative intensity of the opposing communications, along with citizen differences in attention to politics and in political values, interact in the model to explain both cross-sectional patterns of mass opinion and opinion change across surveys. The model, which is applied to data on the Vietnam War, illuminates two research problems: how complex information flows diffuse through a mass audience and how this information shapes mass belief systems.
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Eaw, H. C., and Poh Soon JosephNg. "Still Technology Acceptance Model Reborn with Exostructure as a Service Model." International Journal of Business Information Systems 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijbis.2020.10035765.

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