Information Adoption Model Research Articles

Your comments are important to me! The impacts of online customer reviews in shopping websites

The aim of this study is to examine the influence of Online Customer Reviews (OCRs) on consumers' purchase intentions, and to understand the role of attitude on information adoption within the computer-mediated communication platforms. For this purpose, a research model was developed based on the Information Adoption Model (IAM). The model was empirically tested and validated through Structural Equation Modelling (SEM). The data were collected from a sample of 384 university students. The results confirm that attitude plays an important role on information adoption; and the following are among the key factors which influence consumers' purchase intentions: eWOM quality, eWOM credibility, attitude towards eWOM, perceived eWOM usefulness, and eWOM adoption. Theoretical and practical implications are discussed as well as recommended for future studies.

Tác động của truyền miệng trực tuyến đến ý định mua hàng của người dùng mạng xã hội

The main purpose of this article is to investigate the impact of electronic word-of-mouth (eWOM) on consumer’s purchase intention with the mediator role of information usefulness and information adoption from the both perspective of customers and messages. For this purpose, a conceptual model was developed based on the integration of Information Adoption Model (IAM) and Theory of Reasoned Action (TRA). The study had collected time-lagged data by conducting two cross sectional surveys in Can Tho City. SEM analysis with 355 respondents confirms that Attitude toward information, Need of information, Information Credibility, Information Usefulness, and Information adoption are key elements that impact consumer’s purchase intention in context of social network environment. Finally, academic, practical implication and suggestions for future research are also dicussed.

The impact of customer images on online purchase decisions: Evidence from a Chinese C2C Web site

The influence of electronic word-of-mouth (eWOM) on consumers’ online purchase decisions is well-documented. However, little is known about the impact of customer images, a recent form of eWOM. The present paper reports on an exploratory survey among 215 young users of the Chinese C2C shopping Web site Taobao.com. The idea was to test whether the so-called information adoption model — and in particular a variant used in earlier research on an online consumer community — could be transposed to the case of customer images. We find that the perceived quality of customer images — and in particular their ‘comprehensiveness’ — has a significant positive impact on purchase intention. This suggests that shopping sites should encourage customers to share high-quality customer images. From a methodological perspective, the limited reliability of two of the quality dimensions (namely ‘relevance’ and ‘timeliness’) catches the eye. This suggests that there is a need for a dedicated theoretical framework and for scales that take into account the specific nature of customer images. Simply transposing scales that have been validated for other forms of eWOM would not appear to be the best approach.

International Tourism Advertisements on Social Media: Impact of Argument Quality and Source

To guarantee sustainable international tourism market growth, challenges for international tourism advertisements (ITAs) include how and by whom they are made. Different to traditional ITAs, a new type of ITA has been created by the international tourists themselves; it contains not only pictures but also their own tour stories, and it is distributed via social media (e.g., Youtube.com). However, few studies have investigated the impacts of this type of ITA. I was challenged to empirically validate the impacts on potential tourist reactions of argument quality and the peer tourist source of ITAs. I developed my research model based on Toulmin’s model of argument, institution-based trust, the information adoption model, and consumer reaction literature. I conducted the quasi-experiment using three types of ITAs that vary by argument quality and advertisement source. A total of 387 data were collected and analyzed using ANOVA and the partial least squares (PLS) analysis. The results indicate that argument quality and peer tourist source significantly increase perceived ITA quality, ITA fit-to-task and trusting belief, and decrease perceived risk. Argument quality and peer tourist source could also significantly increase tourist reactions, such as ITA adoption, planned/unplanned visit, and word-of-mouth intention. These findings could make ITAs more persuasive on social media.

The Effect of Online Reviews on Application Discoverability in Mobile Application Stores: An Information Adoption Perspective

With the development of mobile Internet and the popularity of mobile smart devices, it achieved rapid development of mobile application in China. In order to attract consumers, mobile application stores provide a large number of mobile applications. At the same time, it becomes a major problem that quantity overload and homogeneity when users to find the APP. Based on information adoption model and the research achievements about online reviews, this article has explored the effects of online reviews on APP discoverability. It is concluded that the quality of online reviews and the quantity of online reviews had a significant influence on information usefulness, which affects application discoverability.1

The Influence of Opinion Leaders towards Consumer Information Adoption in the Virtual Communities of Consumption

With the appearance and popularity of virtual communities of consumption, potential consumers begin to search for and share information with others in such kind of platforms and to be affected by the electronic word of mouth of certain products or services. Meanwhile, opinion leaders begin to exert influence on these individuals by helping them to filter, categorize and figure out the most valuable pieces of information. Consequently, how to utilize opinion leaders to affect consumer behavior by term of electronic word of mouth becomes one of the hottest topics in the relevant fields. This article utilizes the Information Adoption Model to study how opinion leaders exert influence on consumer information adoption process so as to provide implications about how to utilize opinion leaders in the virtual communities of consumption.

Information Adoption Model, a Review of the Literature

Information Adoption Model, a Review of the Literature

대표성 기반 뉴스 추천 메커니즘이 온라인 뉴스 포탈의 독자 반응에 미치는 영향

News contents has been collected, selected, edited and sometimes distorted by the news recommendation mechanisms of online portals in nowadays. Prior studies had not confirmed the consensus of newsworthiness, and they had not tried to empirically validate the impacts of newsworthiness on audience reactions. This study challenged to summarize the concepts of newsworthiness and validate the impact of representativeness of both editor’s and audience’s perspective on audience reactions as perceived news quality, trust on news portal, perceived usefulness, service satisfaction, loyalty, continuous usage intention, and word-of-mouth intention by adopting the representativeness heuristics method and information adoption model. 357 valid data had been collected using a scenario survey method. Subjects in each groups are exposed by 3 news recommendation mechanisms: 1) the time-priority news exposure mechanism (control group), 2) the reference-score-based news recommendation mechanism (a single treatment group), and 3) the major-news-priority exposure mechanism sorting by the reference scores made by peer audiences (the mixed treatment group). Data had been analyzed by the MANOVA and PLS method. MANOVA results indicate that only mixed method of both editor and audience recommendation mechanisms impacts on perceived news quality and trust. PLS results indicate that perceived news quality and trust could significantly affect on the perceived usefulness, service satisfaction, loyalty, continuance usage, and word-of-mouth intention. This study would contributions to empathize the role of information technology in media industry, to conceptualize the news value in the balanced views of both editors and audiences, and to empirically validate the benefits of news recommendation mechanisms in academy. For practice, the results of this study suggest that online news portals would be better to make mixed news recommendation mechanisms to attract audiences.

Social media or shopping websites? The influence of eWOM on consumers’ online purchase intentions

ABSTRACTThis study empirically tests and compares the influence of friends’ recommendations on social media and anonymous reviews on shopping websites in the context of online purchase intention. For this purpose, we analyse the impacts of these two platforms based on the components of information adoption model (IAM) which are borrowed as information quality, information credibility, information usefulness and information adoption. We conduct a survey and find anonymous reviews as more influential on consumer’ online purchase intentions than friends’ recommendations on social media. However, as this result was contrary to that expected, we conduct another study through in-depth interviews in order to enlighten our results found in the first study. In Study 2, we find the reasons why consumers prefer anonymous reviews rather than friends’ recommendations. Information quantity, information readiness, detailed information and dedicated information are factors which make shopping websites superior than social media in terms of the impact of electronic word of mouth (eWOM). Academic and managerial implications are discussed.

Investigating Information Adoption Tendencies Based on Restaurants’ User-Generated Content Utilizing a Modified Information Adoption Model

Social media has boosted information sharing and user-generated content. Consequently, many restaurant goers rely on online reviews for dining recommendations. This study adds to the sparse literature on the influence of review extremeness, source credibility, website quality, and information usefulness on information adoption. Most notably, a modified information adoption model with the addition of website quality was tested in the context of restaurant review websites. Respondents answered survey questions based on what they saw in a simulated restaurant review website, which depicted one of eight scenarios. Results showed that the more negative a review, the more useful it is perceived to be. Perceived source credibility of the review writer was positively related to the perceived information usefulness. The only component of website quality that played a significant role in determining information adoption tendency of the review readers was the quality of the information disseminated in the website. Lastly, information usefulness also was positively related to information adoption.

The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption

Social media websites have created valuable opportunities for electronic word of mouth (eWOM) conversations. People are now able to discuss products and services of brands with their friends and acquaintances. The aim of this study is to examine the influence of these conversations in social media on consumers' purchase intentions. For this purpose, a conceptual 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 university students who use social media websites. The results confirm that quality, credibility, usefulness and adoption of information, needs of information and attitude towards information are the key factors of eWOM in social media that influence consumers’ purchase intentions. Theoretical and practical implications are discussed as well as recommendations for further research.

Factors affecting female user information adoption: an empirical investigation on fashion shopping guide websites

With the prosperity of online shopping platforms, similar or even the same products tend to have a large variety of sources to be purchased from. More and more consumers seek the product information from online review websites before making a purchase, as they are willing to provide reviews or share their purchase experience. These behaviors turn the online review websites into vertical and community-based sales channels. Based on the Information Adoption Model, this study conducted an empirical investigation to analyze female users' information adoption process when using fashion shopping guide website. The results show that information quality and source credibility have significant impact on information usefulness, which in turn contributes to information adoption. In addition, users with different levels of purchasing motivation demonstrate different dependence on information quality and source credibility.

Perceived risk influence on dual-route information adoption processes on travel websites

This article investigates how perceived risk (PR) affects individual information adoption processes on travel websites. The study integrates perceived travel risk into an information adoption model which draws from the elaboration likelihood model, a dual-process theory of persuasion. The final sample consists of 212 successful questionnaires. The study uses structural equation modeling to evaluate the conceptual model and hierarchical regression analysis to test the moderating effects. The results show that argument quality (a central route) and source credibility (a peripheral route) effectively persuade customers to adopt information on travel websites via perceived usefulness (PU). Findings suggest that perceived risk significantly increases information adoption intention directly and via perceived information usefulness indirectly, and has a great moderating effect on the peripheral route. The results from reanalysis of the data using fsQCA (fuzzy-set qualitative comparative analysis) determine that the combination of PR and PU is sufficient for information adoption intention.

How users adopt healthcare information: An empirical study of an online Q&A community

ObjectivesThe emergence of social media technology has led to the creation of many online healthcare communities, where patients can easily share and look for healthcare-related information from peers who have experienced a similar problem. However, with increased user-generated content, there is a need to constantly analyse which content should be trusted as one sifts through enormous amounts of healthcare information. This study aims to explore patients’ healthcare information seeking behavior in online communities. MethodsBased on dual-process theory and the knowledge adoption model, we proposed a healthcare information adoption model for online communities. This model highlights that information quality, emotional support, and source credibility are antecedent variables of adoption likelihood of healthcare information, and competition among repliers and involvement of recipients moderate the relationship between the antecedent variables and adoption likelihood. Empirical data were collected from the healthcare module of China’s biggest Q&A community—Baidu Knows. Text mining techniques were adopted to calculate the information quality and emotional support contained in each reply text. A binary logistics regression model and hierarchical regression approach were employed to test the proposed conceptual model. ResultsInformation quality, emotional support, and source credibility have significant and positive impact on healthcare information adoption likelihood, and among these factors, information quality has the biggest impact on a patient’s adoption decision. In addition, competition among repliers and involvement of recipients were tested as moderating effects between these antecedent factors and the adoption likelihood. Results indicate competition among repliers positively moderates the relationship between source credibility and adoption likelihood, and recipients’ involvement positively moderates the relationship between information quality, source credibility, and adoption decision. ConclusionsIn addition to information quality and source credibility, emotional support has significant positive impact on individuals’ healthcare information adoption decisions. Moreover, the relationships between information quality, source credibility, emotional support, and adoption decision are moderated by competition among repliers and involvement of recipients.

Understanding the influence of C2C communication on purchase decision in online communities from a perspective of information adoption model

Information derived from consumer-to-consumer (C2C) communication in online communities plays an important role in consumers’ purchase decision making. Based on the information adoption model, the present study develops a research model to investigate the influence of C2C communication on consumers’ purchase decision in online communities. Based on 324 effective data, the Partial Least Squares technique is used to test the proposed model. The results show that argument quality, source credibility, and tie strength positively influence purchase decision through product usefulness evaluation. In addition, tie strength exhibits difference effect on product usefulness evaluation between the context of consumers communicating with real and virtual relationships. Theoretical and managerial implications are discussed.

UNDERSTANDING THE EFFECTS OF EWOM ON COSMETIC CONSUMER BEHAVIORAL INTENTION

This study adopts both the Information Adoption Model and the Information System Continuance Model to investigate information influencing users' intention to visit cosmetic websites and their purchase intentions. Data were gained from 222 users who have prior experiences browsing cosmetic information or purchasing cosmetics from websites. The results show that two models can provide a full understanding of how receivers handle eWOM that affects users' intentions to continually visit cosmetic websites and their purchase intentions.

What leads students to adopt information from Wikipedia? An empirical investigation into the role of trust and information usefulness

AbstractWith the prevalence of the Internet, it has become increasingly easy and common for students to seek information from various online sources. Wikipedia is one of the largest and most popular reference websites that university students may heavily rely on in completing their assignments and other course‐related projects. Based on the information adoption model, this study empirically examines the effects of trust and information usefulness on Hong Kong students' information adoption from Wikipedia. We conducted an online survey and analysed the responses using partial least squares. Overall, the model explained 69.4% of the variance in information adoption, 59.1% of the variance in trust and 62.7% of the variance in information usefulness. Interestingly, deviating significantly from the information adoption model, trust played a major role in determining information adoption and fully mediated the relationship between information usefulness and information adoption. The implications of this study will provide important insights to both researchers and practitioners.Practitioner Notes What is already known about this topic Current controversy is perpetuated by the use of Wikipedia in academic work, although it is heavily utilised by university students. Information adoption is solely determined by information usefulness as proposed in Sussman and Siegal's information adoption model. Prior studies on trust in online information environment primarily focused on issues such as security, technical reliability or e‐commerce. What this paper adds This study provides preliminary empirical evidence regarding university students' motivations behind the use of Wikipedia. Trust towards Wikipedia mediates the relationship between information usefulness and information adoption. Completeness and format of online information determine university students' perceptions of information usefulness. Implications for practice and/or policy Educators should provide university students with more training on evaluating online information and instruct them to be critical learners. Academic institutions should not simply prohibit the use of Wikipedia but instead incorporate it into the curriculum to develop students' digital literacy. The administrators of online educational reference websites should create a reputation system and increase the completeness and format of information.

Using the healthcare information adoption model to predict the adoption of telecare

This study explores the prediction of the healthcare information adoption model (HIAM) which was created first time by Huang (2010) with regard to telecare. This study collects 390 samples in Taiwan and uses structure equation modeling (SEM) to test research model. The results reveal that the model can be considered good-fit models. It can possibly be used as an alternative approach to deliberate on the suitable adoption and acceptance of health care IT (telecare). This study is conducted from the perspective of users in order to ascertain the critical factors that affect telecare users in their inclination toward health care IT. In sum, the research results reveal that it is necessary to increase the users’ awareness of the threat of diseases in order to increase the acceptance of telecare by users (health care IT). Moreover, safety, accuracy, cost of usage, and privacy of telecare equipment should also be considered. Key words: Telecare, healthcare information adoption model, healthcare information adoption model (HIAM).

Motivations for Using Information for Decision making in Virtual Communities The Moderating Effects of Usage Behavior

Virtual communities are increasingly being viewed as important shopping reference groups and are being used as a new medium for affecting sales. In virtual communities, individuals generally exchange product information with others. This information guides members on the best products and where to buy them. We investigated the motivation behind virtual community members’ decision to use information when they inspire more individuals to join shopping reference groups and influence product sales. Most previous research on this subject has emphasized the influence of electronic word of mouth and the posters’ opinions regarding product choice. We further developed this idea by examining the various perspectives that are part of virtual communities’ nature vis-à-vis members’ activities of posting, viewing, and accepting information.We also explored the comparative importance of motivating factors behind members’intentions to use information for purchase-related decision making in different groups from three perspectives: the social exchange theory, gratifications theory, and the information adoption model. We collected data through an online survey and by examining respondents’ actual posting behaviors. We showed that the importance of economic, relational, and social factors differs among groups. “Information browsers” mostly browse through information, rarely post messages, and consider relational and social factors as the main contributors to using information for decision making. “Information consumers” expect effective information, rarely post messages,and consider relational factors as a major determinant. “Information providers,” the primary posters, seldom accept others’ opinions and consider economic and social factors important for the intention of using information for decision making.

Remote health monitoring adoption model based on artificial neural networks

The purpose of this research is to utilize the adoption model of remote health monitoring established by artificial neural networks (ANNs). The adoption model by the naming is the healthcare information adoption model (HIAM) that it is created first time by myself. The HIAM focused on citizens in Taiwan as research subjects. The main research result showed that people’s perceived usefulness and benefits (PUB) must be raised in order to effectively increase the adoption of remote health monitoring. Moreover, this research has proved that the utilization of the adoption model of remote health monitoring established by ANN based on the HIAM is feasible. These findings may offer significant reference for subsequent studies.