Relevant bibliographies by topics / Information acceptance model (IACM)

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Academic literature on the topic 'Information acceptance model (IACM)'

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

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

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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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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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Dissertations / Theses on the topic "Information acceptance model (IACM)"

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Erkan, Ismail. "The influence of electronic word of mouth in social media on consumers' purchase intentions." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12972.

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The influence of electronic word of mouth (eWOM) on consumers’ purchase intentions has long been known. However, the emergence of social media has brought a new perspective to eWOM through enabling users to communicate with their existing networks on the Internet. On social media, conversely to the other online platforms, users are able to exchange their opinions and experiences about products or services with familiar people, which refers to people who they already know such as friends and acquaintances. This new way of eWOM has the potential for greater impact on consumers. Therefore, the aim of this research is to examine the influence of eWOM in social media on consumers’ purchase intentions. To do so, the research in this thesis involved two major phases. In the first phase, in order to explore the determinants of eWOM information on social media which influences consumers’ purchase intentions, a theoretical model was developed based on the integration of Information Adoption Model (IAM) and related components of Theory of Reasoned Action (TRA). The new model, which is named as Information Acceptance Model (IACM), was validated through structural equation modelling (SEM) based on surveys of 384 social media users in the UK. The results have highlighted that quality, credibility, usefulness and adoption of information, needs of information and attitude towards information are the key factors for eWOM in social media which influence consumers’ purchase intentions. Furthermore, to provide better understanding of the influence of eWOM on social media, the second phase of this research was designed as a comparative study. To explore whether the eWOM between familiar people on social media or the eWOM between anonymous people on other online platforms was more influential on consumers’ purchase intentions, the data collected through survey was reanalysed with a different perspective; and a comparison was conducted based on multiple regression analysis. The results have revealed significant differences and found anonymous reviews to be more influential on consumers’ purchase intentions than friends’ recommendations on social media. However, since these results were contrary to expectations, 10 in-depth interviews were also administered to enlighten the insightful results found through the survey. The interview findings uncovered the survey results. Information quantity, information readiness, detailed information, and dedicated information were discovered as the factors which make online reviews superior than friends’ recommendations in terms of the influence of eWOM. This research contributes to theoretical implications through its validated model and found key dimensions. The research model, IACM, brings a new approach to information adoption by extending IAM and provides new insights to researchers who study Information Systems (IS). In addition, the model highlights the information adoption process as an antecedent of behavioural intention, which is a very important finding for the related literature. Future studies can build new models through considering this relationship between information adoption process and behavioural intention. Moreover, the second phase of this research provides new constructs for future studies through its qualitative findings. The findings reached through in-depth interviews, which explain why consumers prefer anonymous online reviews, can either be tested as components of new theories and models or they can be tested as inclusion of existing theories and models. Both types have potential to provide valuable results for the literature. On the other hand, in terms of practicality, this research provides marketers with a frame of reference to understand the influence of eWOM in social media on consumers’ purchase intentions. Both the contextual and the comparative studies in this research offer valuable insights for marketers; marketers thus can develop better strategies for marketing on social media.
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Gabbard, Ralph Barnhart. "Applying the technology acceptance model to online education." [Bloomington, Ind.] : Indiana University, 2004. http://wwwlib.umi.com/dissertations/fullcit/3162232.

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Thesis (Ph.D.)--Indiana University, 2004.
Source: Dissertation Abstracts International, Volume: 66-01, Section: A, page: 0011. Chair: Javed Mostafa. Title from dissertation home page (viewed Oct. 12, 2006).
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Chandio, Fida Hussain. "Studying acceptance of online banking information system : a structural equation model." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/6153.

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Acceptance of information technology (IT) has remained a topic of interest for a last few decades. Several theories, specifically over the conceptualisation of the technology acceptance model (TAM) have emerged and they have been applied in different contexts to investigate new insights into the acceptance behaviour at individual and organisational levels. However, despite TAM’s maturity and validity in different contexts, very little published literature strives to extend its capability to predict individuals’ acceptance behaviour about an online banking information system (OBIS). A possible rational for this gap may be conceptualisation of the TAM under which individuals’ acceptance behaviour can only be predicted with two beliefs: perceived ease of use (PEOU) and perceived usefulness (PU). The evidence in literature shows that PU and PEOU beliefs are not sufficient; hence, they may not explain individuals’ acceptance behaviour in emerging contexts, such as online banking information systems, especially in developing economies such as Pakistan. There is therefore a need for inclusion of any additional factor that can enhance prediction of acceptance of online banking information system by potential users. Extending research on the TAM, this study developed and tested a model of OBIS acceptance. The proposed model integrated key constructs from the information systems acceptance research stream into the theoretical frame of the TAM and other theories from social psychology, such as the theory of reasoned action (TRA), theory of planned behaviour (TPB) and the TAM2. According to the proposed conceptual model, OBIS acceptance was determined by eight main factors, which included perceived usefulness, perceived ease of use, trust, technological self-efficacy, response time, output quality, accessibility, and terminology clarity. In this model, PU was hypothesised to be affected by PEOU, trust, technological self-efficacy (TSE), output quality (OQ) and response time (RT). In addition, PEOU was hypothesised to be determined by three external factors: TSE, accessibility and terminology clarity (TC). The model was tested on a sample of 353 Internet banking users in Pakistan. Using structural equation modelling with Analysis of Moment Structures (AMOS) software, data analysis showed considerable support for the extended hypothesised model. The result indicated that, in order of importance, PU, PEOU and trust explained 45.7 % of the variance in the acceptance behaviour. The trust and the TSE predicted 28.1 % of the variance in the PU. However, the hypothesised relationships between the PU and the PEOU, OQ and RT were found to be not significant. While in the PEOU, 21.8 % of the variance was predicted by the TSE, accessibility and TC. TSE was found to be a more influential determinant of the PEOU than the PU. The consideration of factors that have a significant influence on the acceptance of OBIS, as identified in this research, is important for the managers in the banking sector, especially in developing countries, in order to increase wider acceptance and use of these systems, which provide benefits to both the customers and the service providers.
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Ducey, Adam J. "Predicting Tablet Computer Use: An Extended Technology Acceptance Model." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4471.

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While information technology has rapidly changed work in the United States in the past 50 years, some businesses and industries have been slow to adopt new technologies. Healthcare is one industry that has lagged behind in information technology investment for a variety of reasons. Recent federal initiatives to encourage IT adoption in the healthcare industry provide an ideal context to study factors that influence technology acceptance. Data from 261 practicing pediatricians were collected to evaluate an extended Technology Acceptance Model. Results indicated that individual (i.e., perceived usefulness, perceived ease of use), organizational (i.e., subjective norm), and device (i.e., compatibility, reliability) characteristics collectively influence pediatricians' intention to adopt tablet computers in their medical practice. Theoretical and practical implications are discussed. Future research should examine additional variables that influence information technology adoption in organizations.
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Garcia-Smith, Dianna. "Testing a Model to Predict Successful Clinical Information Systems." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195846.

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Even though most clinical information systems (CIS) today are technically sound, the number of successful implementations of these systems is low. For that reason, understanding the characteristics and challenges for organizations implementing CIS is now considered key to successful information technology deployment (Lorenzi & Riley, 1997). Although theory driven information systems models and CIS studies exist, an integrated model to predict a successful CIS has not been evaluated. The purpose of this research was to evaluate the ability of a theoretically-based integrated model of CIS success (CISSM) to predict a successful CIS from the clinicians' perspective. Data were collected and analyzed from 234 registered nurses in 4 hospitals who had used the Cerner PowerChart Admission Health Profile (AHP) longer than 3 months. Construct validity and internal consistency reliability of the 23-item online instrument were established. The results of stepwise multiple regression analyses provided tentative support for the CISSM model.
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Compton, Shane M., and n/a. "Information technology implementation and acceptance: a case study of change management." University of Canberra. Applied Science, 2002. http://erl.canberra.edu.au./public/adt-AUC20050331.145848.

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The implementation of a new Information Technology in an organization represents a significant change. Little research, however, has been conducted on the collective power of Information Technology acceptance and change management. The current research seeks to integrate a prominent model of technology acceptance and change management theory to develop an holistic approach to Information Technology implementation and acceptance. Using Davis' (1989) Technology Acceptance Model (TAM) (Attitude) and Beer, Eisenstat and Specter's (1990) six step model of change (Change), this three phase longitudinal case study examined the change management of the implementation of a new Information System within a statutory authority. Results from the current study show that the addition of the six step model (Change) adds appreciably to the TAM (Attitude) in the prediction of general service satisfaction and perceived implementation success. Findings also show the temporal salience of the factors of the six step model and the TAM in the prediction of these dependent variables. The current research supports previous work by Davis (1989) and Thompson, Higgins and Howell (1994) who stated that initially people are motivated to use an Information System by affect, but will in time be more concerned with usefulness as habit formation occurs. The current study found that during the pre-implementation phase, commitment through communication and vision are critical to the change process. However, as the change moves into the implementation phase, consensus becomes most important. The shift in factors salient during the change process is what the author refers to as the temporal progression proposition. Strengths and limitations of the current study and recommendations for future research are discussed.
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Ma, Will Wai-kit. "The development and empirical testing of a longitudinal integrated model on information technology acceptance /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?ISMT%202006%20MA.

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Jones, Cynthia. "Utilizing the Technology Acceptance Model to Assess Employee Adoption of Information Systems Security Measures." NSUWorks, 2009. http://nsuworks.nova.edu/hsbe_etd/49.

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Companies are increasing their investment in technologies to enable better access to information and to gain a competitive advantage. Global competition is driving companies to reduce costs and enhance productivity, increasing their dependence on information technology. Information is a key asset within an organization and needs to be protected. Expanded connectivity and greater interdependence between companies and consumers has increased the damage potential of a security breach to a company's information systems. Improper unauthorized use of computer systems can create a devastating financial loss even to the point of causing the organization to go out of business. It is critically important to understand what causes users to understand, accept and to follow the organization's information systems security measures so that companies can realize the benefits of their technological investments. In the past several years, computer security breaches have stemmed from insider misuse and abuse of the information systems and non-compliance to the information systems security measures. The purpose of this study was to address the factors that affect employee acceptance of information systems security measures. The Technology Acceptance Model was extended and served as the theoretical framework for this study to examine the factors that affect employee adoption of information systems security measures. The research model included three independent dimensions, perceived ease of use, perceived usefulness and subjective norm. These constructs were hypothesized to predict intention to use information systems security measures, moderated by management support affecting subjective norm. Five hypotheses were posited. A questionnaire was developed to collect data from employees across multiple industry segments to test these hypotheses. Partial least squares statistical methodology was used to analyze the data and to test the hypotheses. The results of the statistical analysis supported three of the five hypotheses with subjective norm and management support showing the strongest effect on intention to use information systems security measures. Few studies have used TAM to study acceptance of systems in a mandatory environment and to specifically examine the employee acceptance of computer information systems security measures. This study, therefore, adds to the body of knowledge. Further, it provides important information for senior management and security professionals across multiple industries regarding the need to develop security policies and processes and to effectively communicate them throughout the organization and to design these measures to promote their use by employees in the organization.
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Zeng, Zili, Xin Hu, and Shuo Mei. "Factors affecting a Mobile Application’s Acceptance : An empirical study of user acceptance of WeChat in China." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-21650.

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Along with the development of smart phones and smart phones operating systems, users of smart phones are able to install software, games and other programs provided by third-party providers. WeChat as a third party software that exists in the current market, is an in-stant messaging application that enables users to send voice, video, pictures and text to their contacts through mobile network. Being a new application, the user acceptance of WeChat has not been studied. Therefore, the result of this study will be valuable to fill the knowledge gap about user acceptance study of this mobile application, and future development of other similar instant messaging mobile application could also benefit from this study. This study focuses on WeChat users and answers to the following research questions: 1. What are the factors that affect the users‘ acceptance of WeChat? 2. How could other competing instant messaging applications improve their user acceptance? The purpose of this study is to explain factors that affect the users‘ acceptance of WeChat among WeChat users who are studying in one specific school and working in one specific company. This study adopts a deductive, theory testing approach. The research model was proposed through literature review and expert interview, and six hypotheses were developed based on the research model. A survey was conducted subsequently to collect quantitative data. Hypotheses were tested through analyzing the quantitative data by using SPSS. Through testing the hypotheses, this study concluded that effort expectancy, social influence, facilitating conditions, cost and privacy are the factors that could affect user acceptance of WeChat. Other similar IM mobile applications could take those identified factors as reference in further user acceptance study, and the proposed research model in this study could also help in improving understanding of user acceptance in similar IM mobile application study.
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Davis, Fred D. "A technology acceptance model for empirically testing new end-user information systems : theory and results." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15192.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1986.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY.
Bibliography: leaves 233-250.
by Fred D. Davis, Jr.
Ph.D.
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Books on the topic "Information acceptance model (IACM)"

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Kamel, Sherif. Assessing the introduction of electronic banking in Egypt using the technology acceptance model. Hershey, PA: Idea Group Pub., 2003.

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Harrod, Molly, Sanjay Saint, and Robert W. Stock. Building the Team. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190671495.003.0003.

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The team structure as a model for organizing work has in recent years won broad acceptance in industry, with studies demonstrating that teams performing high-intensity tasks make fewer mistakes than individual workers. This comports with modern educational theory, which tends to identify two basic varieties of learning: knowledge acquisition, which enables the individual to reproduce the information studied, and knowledge gained through participation in a dynamic community or team. Team learning is beneficial for hospitals where collaboration among clinicians is so vital. The attendings used multiple strategies to build and maintain team relationships. The attendings’ definition of the team extended beyond the learners and included other medical specialists. Attendings view the care of a patient as the team’s responsibility and not just that of the primary provider.
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Lethborg, Carrie, and David W. Kissane. The family perspective. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0176.

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In considering cancer as an illness that affects not only the patient but their entire family, this chapter offers a model of family-centred care to encourage an understanding of the impact of illness on the family, the family in the caregiver role, and the needs of family-based caregivers. From a clinical perspective, the authors offer a guide for assessing these families for interventions, including the use of open communication and information provision, the recognition of past patterns of relating, the encouragement of acceptance of support, discussions with the family as a whole, and support during unpreventable emotional suffering that families experience. Specific interventions described include preventive and supportive interventions, interventions that challenge dysfunction, and interventions with the family when a patient is dying. Family-centred care is challenging as a paradigm but a useful harness to improved quality of life, one that warrants the effort involved to ease the suffering of all.
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Read, John, and Peter Stacey. Guidelines for Open Pit Slope Design. CSIRO Publishing, 2009. http://dx.doi.org/10.1071/9780643101104.

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Guidelines for Open Pit Slope Design is a comprehensive account of the open pit slope design process. Created as an outcome of the Large Open Pit (LOP) project, an international research and technology transfer project on rock slope stability in open pit mines, this book provides an up-to-date compendium of knowledge of the slope design processes that should be followed and the tools that are available to aid slope design practitioners. This book links innovative mining geomechanics research into the strength of closely jointed rock masses with the most recent advances in numerical modelling, creating more effective ways for predicting rock slope stability and reliability in open pit mines. It sets out the key elements of slope design, the required levels of effort and the acceptance criteria that are needed to satisfy best practice with respect to pit slope investigation, design, implementation and performance monitoring. Guidelines for Open Pit Slope Design comprises 14 chapters that directly follow the life of mine sequence from project commencement through to closure. It includes: information on gathering all of the field data that is required to create a 3D model of the geotechnical conditions at a mine site; how data is collated and used to design the walls of the open pit; how the design is implemented; up-to-date procedures for wall control and performance assessment, including limits blasting, scaling, slope support and slope monitoring; and how formal risk management procedures can be applied to each stage of the process. This book will assist in meeting stakeholder requirements for pit slopes that are stable, in regards to safety, ore recovery and financial return, for the required life of the mine.
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Book chapters on the topic "Information acceptance model (IACM)"

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Iyamu, Tiko. "Technology acceptance model." In Applying Theories for Information Systems Research, 143–54. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003184119-9.

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Sandhu, Kamaljeet. "E-Services Acceptance Model (E-SAM)." In Advances in Computer and Information Sciences and Engineering, 224–29. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8741-7_40.

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Stal, Janusz, and Grażyna Paliwoda-Pękosz. "Mobile Technology Acceptance Model: An Empirical Study on Users’ Acceptance and Usage of Mobile Technology for Knowledge Providing." In Information Systems, 547–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11395-7_42.

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Sandhu, Kamaljeet. "Theoretical Perspectives for E-Services Acceptance Model." In Advances in Computer and Information Sciences and Engineering, 218–23. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8741-7_39.

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Mohmed Al-Sabaawi, Mohmed Y., and Halina Mohamed Dahlan. "Acceptance Model of Social Media for Informal Learning." In Recent Trends in Information and Communication Technology, 679–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59427-9_70.

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Chu, Hsing-Hui, Ta-Jung Lu, and Jong-Wen Wann. "Evaluation of the Acceptance of Audience Response System by Corporations Using the Technology Acceptance Model." In Communications in Computer and Information Science, 281–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16397-5_26.

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Bradley, Joseph. "If We Build It They Will Come? The Technology Acceptance Model." In Information Systems Theory, 19–36. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6108-2_2.

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Chiu, Ya-Kang, and Chien-Wei Huang. "Using Behavior of Social Network Sites Based on Acceptance Model." In Communications in Computer and Information Science, 57–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53703-5_7.

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Kuciapski, Michał. "Students Acceptance of m-Learning for Higher Education – UTAUT Model Validation." In Information Systems: Development, Research, Applications, Education, 155–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46642-2_11.

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Wagenaar, Gerard, Sietse Overbeek, and Remko Helms. "Describing Criteria for Selecting a Scrum Tool Using the Technology Acceptance Model." In Intelligent Information and Database Systems, 811–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54430-4_77.

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Conference papers on the topic "Information acceptance model (IACM)"

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Setianto, Fauzi, and Suharjito. "Analysis the Acceptance of Use for Document Management System Using Technology Acceptance Model." In 2018 Third International Conference on Informatics and Computing (ICIC). IEEE, 2018. http://dx.doi.org/10.1109/iac.2018.8780462.

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Mustafa, A'dillah Bt, Norasiah Hj Harun, and Mohd Zailan Endin. "Understanding e-book acceptance through Technology Acceptance Model (TAM Model)." In 2014 2nd International Conference on Information and Communication Technology (ICoICT). IEEE, 2014. http://dx.doi.org/10.1109/icoict.2014.6914052.

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Gao, Shang, John Krogstie, and Per Anton Gransæther. "Mobile Services Acceptance Model." In 2008 International Conference on Convergence and Hybrid Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/ichit.2008.252.

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Wang, Xinli, and Mostafa El-Said. "Technology Acceptance Model Revisited." In SIGITE '19: The 20th Annual Conference on Information Technology Education. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349266.3351379.

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Santoso, Cahyono Budy, Wayan Suparta, Edi Abdurachman, and Agung Trisetyarso. "Jakarta Government Official Portal Acceptance Based On Technology Acceptance Model." In 2020 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2020. http://dx.doi.org/10.1109/icitsi50517.2020.9264916.

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Gu, Wei, and Ye Liu. "SaaS-Based Services Information Technology Acceptance Model." In 2011 International Conference on Information Technology, Computer Engineering and Management Sciences (ICM). IEEE, 2011. http://dx.doi.org/10.1109/icm.2011.253.

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Susanti, Emy, and Femi Dwi Astuti. "Technology Acceptance Model for Digital Marketing Analysis." In International Conferences on Information System and Technology. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0009433700850091.

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Silva Guimaraes, Evandro, and Fernando Paulo Belfo. "Model of Acceptance and Use of Information Technology." In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2019. http://dx.doi.org/10.23919/cisti.2019.8760840.

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Silva Guimaraes, Evandro, and Fernando Paulo Belfo. "Model of Acceptance and Use of Information Technology." In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2019. http://dx.doi.org/10.23919/cisti.2019.8760912.

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Masombuka, T., and E. Mnkandla. "A DevOps collaboration culture acceptance model." In SAICSIT '18: 2018 Annual Conference of the South African Institute of Computer Scientists and Information Technologists. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3278681.3278714.

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Reports on the topic "Information acceptance model (IACM)"

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Herbert, Siân. Donor Support to Electoral Cycles. Institute of Development Studies (IDS), April 2021. http://dx.doi.org/10.19088/k4d.2021.043.

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This rapid literature review explains the stages of an election cycle, and how donors provide support to electoral cycles. It draws mainly on policy guidance websites and papers due to the questions of this review and the level of analysis taken (global-level, donor-level). It focuses on publications from the last five years, and/or current/forthcoming donor strategies. The electoral cycle and its stages are well-established policy concepts for which there is widespread acceptance and use. Donor support to electoral cycles (through electoral assistance and electoral observation) is extremely widespread, and the dominant donors in this area are the multilateral organisations like the United Nations (UN) and the European Union (EU), and also the United States (US). While almost all bilateral donors also carry out some work in this area, “almost all major electoral support programmes are provided jointly with international partners” (DFID, 2014, p.5). Bilateral donors may provide broader support to democratic governance initiatives, which may not be framed as electoral assistance, but may contribute to the wider enabling environment. All of the donors reviewed in this query emphasise that their programmes are designed according to the local context and needs, and thus, beyond the big actors - EU, UN and US, there is little overarching information on what the donors do in this area. While there is a significant literature base in the broad area of electoral support, it tends to be focussed at the country, programme, or thematic, level, rather than at the global, or donor, level taken by this paper. There was a peak in global-level publications on this subject around 2006, the year the electoral cycle model was published by the European Commission, International Institute for Democracy and Electoral Assistance (International IDEA), and United Nations Development Programme (UNDP). This review concludes by providing examples of the electoral assistance work carried out by five donors (UN, EU, US, UK and Germany).
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