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Relevant bibliographies by topics / Information adoption model (IAM)

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Journal articles

Academic literature on the topic 'Information adoption model (IAM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Information adoption model (IAM)"

1

Han, Yangyang, Binshan Jiang, and Rui Guo. "Factors Affecting Public Adoption of COVID-19 Prevention and Treatment Information During an Infodemic: Cross-sectional Survey Study." Journal of Medical Internet Research 23, no. 3 (2021): e23097. http://dx.doi.org/10.2196/23097.

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Background With the spread of COVID-19, an infodemic is also emerging. In public health emergencies, the use of information to enable disease prevention and treatment is incredibly important. Although both the information adoption model (IAM) and health belief model (HBM) have their own merits, they only focus on information or public influence factors, respectively, to explain the public’s intention to adopt online prevention and treatment information. Objective The aim of this study was to fill this gap by using a combination of the IAM and the HBM as the framework for exploring the influenc

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2

Wang, Zhibing, and Zhumei Sun. "Can the adoption of health information on social media be predicted by information characteristics?" Aslib Journal of Information Management 73, no. 1 (2020): 80–100. http://dx.doi.org/10.1108/ajim-12-2019-0369.

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PurposeThis paper aims to explore the relationship between the characteristics of social media health information and its adoption. The purpose is to identify information characteristics that can be used to estimate the level of health information adoption in advance.Design/methodology/approachAccording to the Information Adoption Model (IAM), the study extracted ten information characteristics from the aspects of information quality and information source credibility. The sample data was collected from the top ten influential health accounts based on the Impact List of Sina Weibo to test the

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3

Abedi, Ehsan, Davood Ghorbanzadeh, and Atena Rahehagh. "Influence of eWOM information on consumers’ behavioral intentions in mobile social networks." Journal of Advances in Management Research 17, no. 1 (2019): 84–109. http://dx.doi.org/10.1108/jamr-04-2019-0058.

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Purpose Today, consumers play an active role in creating, generating and distributing the electronic word of mouth (eWOM) independent of marketers. Customer acquisition through referrals and word of mouth (WOM) has thus become an important goal for firms. In addition, mobile social networks have created valuable opportunities for eWOM. People are now able to discuss products and services of brands with their friends and acquaintances. The purpose of this paper is to examine the influence of eWOM information on consumers’ behavioral intentions in mobile social networks. Design/methodology/appro

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4

LIAO, Longhui, and Evelyn Ai Lin TEO. "CRITICAL SUCCESS FACTORS FOR ENHANCING THE BUILDING INFORMATION MODELLING IMPLEMENTATION IN BUILDING PROJECTS IN SINGAPORE." Journal of Civil Engineering and Management 23, no. 8 (2017): 1029–44. http://dx.doi.org/10.3846/13923730.2017.1374300.

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Although building information modelling (BIM) has been implemented in building projects in Singapore, barriers such as the duplicate efforts for designers and contractors to create models appear to exist. Thus, BIM implementation needs to be enhanced. The objectives are to identify the critical success factors (CSFs) for enhancing BIM implementation and investigate the interrelationships among these CSFs. 32 success factors were identified through a literature review and a questionnaire survey was conducted. The results indicated that 15 CSFs were identified and grouped into integration and a

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5

Park, Tiwa. "How information acceptance model predicts customer loyalty?" Bottom Line 33, no. 1 (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

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6

Liu, Wenlong, and Rongrong Ji. "Examining the Role of Online Reviews in Chinese Online Group Buying Context: The Moderating Effect of Promotional Marketing." Social Sciences 7, no. 8 (2018): 141. http://dx.doi.org/10.3390/socsci7080141.

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Given the rapid growth of online group buying (OGB) market in China, this study was designed to examine the influencing mechanism of online reviews on Chinese consumers’ purchase intention in OGB context. A comprehensive model was developed based on technology acceptance model (TAM) and information adoption model (IAM). The construct named overall reviews was included in the research framework along with the variables from TAM and IAM. Promotional marketing (PM) was expected to play a moderating role between online reviews and consumers’ purchase intention. A quantitative study was conducted,

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7

Daradkeh, Mohammad Kamel. "Exploring the Usefulness of User-Generated Content for Business Intelligence in Innovation." International Journal of Enterprise Information Systems 17, no. 2 (2021): 44–70. http://dx.doi.org/10.4018/ijeis.2021040103.

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This study presents a systematic approach that integrates the information adoption model (IAM) with topic modeling to analyze the digital voice of users in online open innovation communities (OOICs) and empirically examines the usefulness of UGC with large amounts of redundant information and varying content quality across two dimensions: information quality and information source credibility. A total of 61,227 bug comments were collected from the OOIC of Huawei EMUI and analyzed using binary logistic regression. The results show that information timeliness and completeness have a positive eff

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8

Bueno, Salvador, and M. Dolores Gallego. "eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 5 (2021): 1612–30. http://dx.doi.org/10.3390/jtaer16050091.

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This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfactio

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9

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 (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 hav

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10

Nuriman Izudin, Amar, Endang Ruswanti, and Moehammad Unggul Januarko. "The Effect of YouTube eWOM on Consumer Buying Interest." Revista CEA 6, no. 12 (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 sam

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