Online Information Quality Research Articles

Perceived Online Information Quality: An Empirical Study Using Q Methodology

ABSTRACTThe aim of the current study is to identify the dimensions of perceived online information quality and apply Q methodology to analyze users' perceptions both qualitatively and quantitatively. Data were collected from readers and contributors of English Wikipedia through two rounds of surveys. The analysis of the first round, with 197 participants, identified 36 dimensions of online information quality, while the second round with 68 participants yielded significant five factor categories of information quality with Q methodology. Q methodology was employed to configure the design and analysis of the second round of research, especially aiming to transform users' opinions and perceptions into more solid evidence.

A Systematic Quality Assessment of Online Resources on Eyelid Ptosis Using the Modified Ensuring Quality Information for Patients (mEQIP) Tool.

Eyelid ptosis is an underestimated pathology deeply affecting patients' quality of life. Internet has increasingly become the major source of information regarding health care, and patients often browse on websites to acquire an initial knowledge on the subject. However, there is lack of data concerning the quality of available information focusing on the eyelid ptosis and its treatment. We systematically evaluated online information quality on eyelid ptosis by using the "Ensuring Quality Information for Patients" (EQIP) scale. Google, Yahoo and Bing have been searched for the keywords "Eyelid ptosis," "Eyelid ptosis surgery" and "Blepharoptosis." The first 50 hits were included, evaluating the quality of information with the expanded EQIP tool. Websites in English and intended for general non-medical public use were included. Irrelevant documents, videos, pictures, blogs and articles with no access were excluded. Out of 138 eligible websites, 79 (57,7%) addressed more than 20 EQIP items, with an overall median score of 20,2. Only 2% discussed procedure complication rates. The majority fail to disclose severe complications and quantifying risks, fewer than 18% clarified the potential need for additional treatments. Surgical procedure details were lacking, and there was insufficient information about pre-/postoperative precautions for patients. Currently, online quality information has not improved since COVID-19 pandemic. This study highlights the urgent requirement for improved patient-oriented websites adhering to international standards for plastic and oculoplastic surgery. Healthcare providers should effectively guide their patients in finding trustworthy and reliable eyelid ptosis correction information. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Arabic websites assessment of irritable bowel syndrome: How trustworthy are they? A cross-sectional study.

Irritable bowel syndrome (IBS) is a chronic GI disorder that affects people all over the world. Patients frequently look for information about their ailments online. Despite being widely and easily accessible, online information's quality and readability are under doubt. In this investigation, we assessed the effectiveness and usability of IBS Arabic websites found on significant search engines. IBS-related search terms in Arabic were entered into two search engines (Google and YouTube), and the first 30 websites per word from Google, and the first 20 websites per word from YouTube were assessed for eligibility. Eligible Google websites were assessed for quality and readability, while YouTube websites were assessed for quality. Quality was assessed using the DISCERN score and the JAMA Benchmark. Readability was assessed using the automatic Arabic readability index (AARI). Associations between quality, readability, types of websites (medical/nonmedical), and video length were analyzed. For Google: A total of 48 websites were evaluated, mean DISCERN score was 40.4 (SD = 10.28) indicating fair quality. The mean JAMA score was 1.6 (SD = 0.69), with the readability being worse the higher the quality. Medical websites had higher quality scores than nonmedical ones. For YouTube: A total of 34 YouTube videos were evaluated, mean DISCERN score was 34.7 (SD = 7.35), indicating poor quality. The mean JAMA score was 1.4 (SD = 0.72). Medical websites had higher quality scores than nonmedical ones. There was no association between the quality of the videos and their length. The majority of websites were of low to fair quality and required a high degree of readability. As a result, we advise (1) healthcare practitioners to offer helpful websites to their patients, and (2) the development of IBS-related websites under the guidance of experts, with the involvement of patients.

확장된 기술수용모형(UTAUT2)을 적용한 O2O 외식 플랫폼 서비스 품질이 재 사용의도에 미치는 영향에 관한 연구

This study employs the UTAUT2 model, an extension of the TAM model, to examine how O2O platform services influence customer reuse within the food industry. Service quality variables such as online information quality of the food platform and offline delivery service quality of delivery companies are set as preceding variables of the UTAUT2 model. Employing a structural equation model, the study analyzes the relationship’s influence on customer intention to use UTAUT2 as a parameter. The results of the analysis indicate that platform service variables had a statistically significant effect on all variables (effort expectations, performance expectations, social influence, and hedonic motivation) of UTAUT2 (extended technology acceptance model 2). Meanwhile, according to the analysis of the effect of delivery service quality on UTAUT, social and hedonic factors did not seem to have an effect. The research implies that consumers encounter many negative factors, such as price burden and delivery delays, regarding the delivery service itself. In addition, the anticipation of the order and the time spent waiting act as negative factors, while failing to influence pleasure.

Exploring perceived online information quality: a mixed-method approach

Purpose The purpose of this study is to examine the quality of information in articles in the online encyclopedia, Wikipedia, as perceived by readers and content contributors. This study explored several dimensions and characteristics of information presented in Wikipedia by identifying new emerging dimensions in terms of readers’ perceptions of the quality of online information.Design/methodology/approach Two rounds of online surveys were conducted using a mixed-method approach. In the first survey, the authors conducted content analysis on 197 participants, and in the second survey, the authors conducted factor analysis on 107 study participants. The authors used Qualtrics Panel Services to recruit individuals who read and/or edited the English version of Wikipedia articles and resided in the United States.Findings The mixed-method approach employed in this study to explore the quality of online information had three core components: users’ perceptions of information quality, content analysis, and exploratory factor analysis of the perceived information quality structure. The study found a new information quality category, social aspect quality. Dimensions include fun, goodness, empowering and user generated.Originality/value The results demonstrate the emergence of novel quality attributes for information quality presented online, particularly in social media. Moreover, this study is one of the rare studies to employ a mixed-method approach that offers diverse but reliable perspectives on information quality as perceived by everyday users of Wikipedia.

Influence of Online Information Quality and Website Design on User Shopping Loyalty in the Context of E-Commerce Shopping Malls in Korea

An exponential growth in the usage of the internet and e-commerce has led to the creation of many e-commerce retail malls. In addition to promotional schemes and prices, these e-commerce retailers use online information quality and website design to differentiate themselves from other retail players. Therefore, the objective of this research is to investigate how e-commerce information quality (information trust and information accuracy) and website design influence customer satisfaction, and how customer satisfaction subsequently influences user shopping loyalty in South Korea. Using an online survey, data were obtained from 600 users of e-commerce shopping malls in Korea. Results from structural equation modeling showed that information trust, information accuracy and website design had a positive influence on customer satisfaction, which subsequently led to user shopping loyalty. This paper has useful implications for e-commerce retail malls. One important implication is that e-commerce retailers must endeavor to provide trustworthy information, accurate information and a comfortable website design to attract and retain customers.

System quality, information quality, satisfaction and acceptance of online learning platform among college students in the context of online learning and blended learning.

The paper was based on the User Satisfaction and Technology Acceptance Integration Theory (USATA). The authors analyzed the factors that affect college students' acceptance and satisfaction of online learning platform, as well as the differences in the relationship between various factors in blended learning scenario and online learning scenario. The results showed that the quality of online learning platform and information quality affect user satisfaction, and satisfaction affects usefulness and ease of use, and then affect attitude and intention. The comparison between the two groups showed that there were significant differences in the impact of information quality on information satisfaction and the impact of perceived usefulness on usage intention. In the online learning scenario, the endogenous latent variables of the model had higher explanatory power, which indicates that learners are more dependent on the quality and relevant characteristics of the learning platform in the online learning scenario.

The Digital Divide and Seeking Health Information on Smartphones in Asia: Survey Study of Ten Countries.

BackgroundAlthough recent developments in mobile health have elevated the importance of how smartphones empower individuals to seek health information, research investigating this phenomenon in Asian countries has been rare.ObjectiveThe goal of our study was to provide a comprehensive profile of mobile health information seekers and to examine the individual- and country-level digital divide in Asia.MethodsWith survey data from 10 Asian countries (N=9086), we ran multilevel regression models to assess the effect of sociodemographic factors, technological factors, and country-level disparities on using smartphones to seek health information.ResultsRespondents who were women (β=.13, P<.001), parents (β=.16, P<.001), employed (β=.08, P=.002), of higher social status (β=.08, P<.001), and/or from countries with low health expenditures (β=.19, P=.02) were more likely to use smartphones to seek health information. In terms of technological factors, technology innovativeness (β=.10, P<.001) and frequency of smartphone use (β=.42, P<.001) were important factors of health information seeking, whereas the effect of online information quality was marginal (β=–.04, P<.001).ConclusionsAmong smartphone users in Asia, health information seeking varies according to individuals’ socioeconomic status, their innovativeness toward technology, and their frequency of smartphone use. Although smartphones widen the digital divide among individuals with different socioeconomic status, they also bridge the divide between countries with varying health expenditures. Smartphones appear to be a particularly useful complement to manage health in developing countries.

Construction of Machine Learning Model Based on Text Mining and Ranking of Meituan Merchants

In the Web 2.0 era, the problem of uneven quality and overload of online reviews is very serious, and the cognitive cost of obtaining valuable content from them is getting higher and higher. This paper explores an effective solution to address comment overload by means of information recommendation in order to improve the utilization of online information and information service quality. This paper proposes a review ranking recommendation scheme that focuses on the information quality of reviews and places more emphasis on satisfying users’ personal information need. The paper’s approach is used to extract and rank low-frequency keywords that appear only once in the comment set. The more useful the extracted phrases are, the more useful this review will be and the higher the usefulness votes will be, which can reflect the actual situation of this product more objectively and accurately and facilitate better consumption decisions for consumers. The experimental results show that users’ satisfaction with the perceived usefulness of the reviews is jointly influenced by the information quality of Meituan’s reviews and users’ individual information needs; the recommendation strategy achieves the organic integration of the two, and the evaluation results under three different recommendation modes show that compared with “interest recommendation” and “utility recommendation,” the satisfaction score of “fusion recommendation” is the highest

E-WOM and Its Impacts on Purchasing Behavior: A Comparative Study between Thai and Indonesian Millennials

Social media has become a valuable information source that creates opportunities for users to share their comments about a product or service, establishing powerful electronic Word-of-Mouth conversations that may have an impact on purchasing behavior. The study aims to 1) study consumers’ perceptions towards the usefulness of electronic Word-Of-Mouth with respect to three factors, i.e. online information quality, online information credibility, and consumers’ attitude towards online information; 2) examine the influence of online information usefulness on online information adoption; and 3) examine the influence of online information adoption on consumers‘ purchase intentions. This study used an online survey to collect primary data from 200 Thai and 200 Indonesian millennial internet users. The result indicates a relatively distinctive result between Thai and Indonesian consumers, as Thai consumers focus mainly on their attitudes towards online information when they consider the usefulness of online information. On the other hand, Indonesian consumers focus on both their attitudes towards online information and the credibility of online information. Nonetheless, both groups share similar traits in other respects. Online information usefulness has an impact on online information adoption, while online information adoption produces a further impact on consumers’ purchase intentions.

Effect and Consequence e-Customer Satisfaction for e-Commerce Users

The 4.0 industrial revolution has changed people's behavior to use everything through technology. This happens also in terms of shopping that can be done by many people through e-commerce. This study aims to examine the effect of online convenience, website design, security, information quality, and e-service quality on e-word of mouth, behavioral intentions, and e-loyalty through e-customer satisfaction respondents who use e-commerce to shop at Indonesia, especially Surabaya. The data used in this study are primary data obtained through distributing questionnaires to 205 respondents who are male and female e-commerce users, who are at least 15 years old, and have conducted transactions in e-commerce at least 5 times in the past year. The sampling technique in this study is non-probability sampling. This research uses a quantitative approach using statistical testing. The test was carried out using the Structural Equation Modeling (SEM) method with the SMART-PLS 3.0 program. The results of this study indicate that only online convenience, security, and information quality have an influence on other dependent variables through e-customer satisfaction, while website design and e-service quality have no effect

Quality evaluation of HPV vaccine-related online messages in China: a cross-sectional study

ABSTRACT Since 2019, three types of HPV vaccine have been approved for use in mainland China. High quality messages are crucial for vaccine acceptance, but little is known about the online information quality concerning HPV vaccine in China. “HPV vaccine” and “cervical cancer vaccine” in the form of Chinese were used as keywords through search engines from personal computer (PC), portable mobile device (PMD), and WeChat Public Accounts in 2019. Readability, information content, as well as DISCERN scores were evaluated for each message included. Characteristics associated with quality indicators of the messages were also analyzed. A total of 294 messages from PC engines (104, 35%), PMD engines (128, 43%) and WeChat (62, 21%) were assessed. Most (269, 91%) messages required at least undergraduate readability level. The most frequently reported theme was HPV vaccine and its function (273, 93%), while the least was information regarding quality, safety and side effects (129, 44%). The frequency of messages with at least one error was 132 (45%). The median of sum DISCERN scores was 42 (IQR = 14), and only one (< 1%) message showed good DISCERN quality. Messages retrieved from PC engines and those with pictures were of better overall quality. The overall quality of HPV vaccine-related online messages in Chinese websites was not optimal. Government and health professionals should promote information quality construction to improve the status of HPV vaccination messages online.

Online Tourism Information and Tourist Behavior: A Structural Equation Modeling Analysis Based on a Self-Administered Survey.

This study presents the interacting phenomena of perceptions of tourist destination online content (TDOC) and tourists’ behavioral intentions with a mediating role of tourists’ satisfaction, which is as yet under-explored in hospitality and tourism research. A model based on three main constructs, namely TDOC (with sub-constructs of online information quality and user-friendly accessibility), satisfaction, and tourists’ behavioral intentions [with sub-constructs of intentions to visit a tourist destination and electronic word-of-mouth (eWOM)], is presented to determine the growth of tourism business with the internet. Data were collected via a questionnaire-based survey from 413 tourists staying at hotels in Lahore city in Pakistan. Partial least square structural equation modeling was used to statistically analyze the gathered data. The findings indicate that tourists’ perceptions of TDOC directly influence their behavioral intentions, while tourists’ satisfaction exerts a mediating influence between tourists’ perceptions of TDOC and their behavioral intentions. Taking advantage of an economical and widespread online environment, destination marketing organizations could attract more tourists by fostering confidence in TDOC and positive eWOM to remain competitive in the long run. Important theoretical and practical implications are discussed.

Dynamic model of online information quality perceptions and impacts: a literature review

ABSTRACTThis paper reviews the literature related to the concept of information quality (IQ) in the context of the online environment to understand how it has been conceptualised in the Information Systems (IS) literature, to identify gaps in the literature, and to make recommendations for future research. This study also extends the Information Processing Model (IPM) and proposes a novel dynamic model of online IQ perceptions and impacts. To understand the online IQ construct, an in-depth review of the literature is conducted. Overall, we reviewed 508 journal articles published between 1995 and 2016. This study found that there is a substantial gap in the IS literature in regards to a full understanding of the online IQ construct and its relation with the IPM. More research is needed to understand the way individuals process and respond to online information. Further, although the importance of context in theory development has been emphasised in the literature, very few empirical articles have explored the impact of contextual factors on the IPM as well as perceived online IQ. The findings provide online vendors with important guidelines that should be considered to motivate individuals to acquire more information from their websites that could lead to more satisfied and loyal users.

Information quality in healthcare social media – an architectural approach

The evolution of the Internet has provided new and more efficient communication and collaboration channels between individuals, empowering them to share health information and to interact more and more using social media channels. Information quality is frequently identified as one of the main limitations of social media in healthcare. The objective of the paper is to discuss the social implications and limitations on information quality in healthcare social media, and particularly to contribute to the analysis and development of healthcare social networks (SN) and online healthcare social network services (SNS). For that reason, a formal architectural analysis of healthcare SN and SNS has been proposed, considering the complexity of both systems, but stressing on quality of Information aspects. Any social system - and its network of interrelations - can be analyzed as a real world system. Therefore, it is possible to model the structural components, interrelations and functionality (system architecture) of healthcare SN and SNS. The Generic Component Model (GCM) has demonstrated to be an ideal architectural framework for any real system’s analysis. Based on the GCM, the architecture of quality aware healthcare SNS is proposed. Information quality is addressed in the domain dimension of the GCM, supported by the definition of information quality policies. The practical implementation of quality-driven online SNS and information quality policies was demonstrated by the development of an online SNS supporting health promotion programs in a healthcare institution. In order to evaluate the relevance of the information quality policies proposed, a descriptive study was performed, in which the content published in the online SNS was selected strictly following the information quality policy. The study demonstrated that users’ perceived information quality was high. The paper addresses sociotechnical aspects of social media by providing a formal method for the management of information quality in online healthcare social networks.

A macro model of online information quality perceptions

Online information quality (IQ) plays a critical role in influencing the quality of consumers' experience and decisions in the online environment. Much research has been conducted in the literature...

Online information quality and consumer satisfaction: The moderating roles of contextual factors – A meta-analysis

A meta-analysis involving 42 articles was performed to study the existence of potential contextual moderators of the relationship between information quality (IQ) and consumer satisfaction in the online environment. A moderator analysis involving website type (retail or e-services), sample characteristics (respondent type and respondent origin) and the IQ categories used (representational and non-representational) in articles revealed that whereas website type and IQ categories moderate the relationship between perceived online IQ and consumer satisfaction, sample characteristics do not. Implications of the results for researchers and practitioners and directions of future research are presented.

What influences online deliberation? A wikipedia study

In this paper we describe a study aimed at evaluating and improving the quality of online deliberation. We consider the rationales used by participants in deletion discussions on Wikipedia in terms of the literature on democratic and online deliberation and collaborative information quality. Our findings suggest that most participants in these discussions were concerned with the notability and credibility of the topics presented for deletion, and that most presented rationales rooted in established site policies. We found that factors like article topic and unanimity (or lack thereof) were among the factors that tended to affect the outcome of the debate. Our results also suggested that the blackout of the site in response to the proposed Stop Online Piracy Act (SOPA) law affected the decisions of deletion debates that occurred close to the event. We conclude by suggesting implications of this study for broader considerations of online information quality and democratic deliberation.

Exploring Antecedents of Consumers' Willingness to Depend on E-Health Information

Previous research on online health (e-health) information was primarily focused on consumer information search behavior and information quality. Although studies addressing online information quality have flourished, they have yet to thoroughly examine whether consumers actually use the information they search. The purspose of this study suggests a conceptual framework that examines the potential antecedents of a consumers’ willingness to depend on e-health information as an indicator of the consumer’s trust of the provided e-health information. The proposed antecedents include healthcare product involvement, online skill level, perceived quality, and credibility of the source. Using structural equation modeling on online survey data, seven hypotheses, which describe the relationships between the variables of the model, were tested. The results indicate that consumer willingness to depend on provided e-health information was significantly influenced by the consumers’ perceived quality and credibility of specific e-health information. Consumer involvement in healthcare and their online skill-level, respectively, also positively related to perceived quality and credibility regarding e-health information.

Online information quality as determinant of perceived risk reduction in e-commerce: an application to apparel virtual stores

The main purpose of this paper is to analyse the role of information quality as a mechanism for reducing virtual shopping perceived risk and inducing greater online purchase intent. In this way, a theoretical model is presented which explains the inverse relation of information quality (referred to product and transaction-associated services) and perceived risk, and the influence of these variables on online shopping intention. 350 young consumers navigated the web page of a fictional clothes brand, and were asked to select a product and complete the purchasing process. Data analysis shows that perceived risk related to the virtual store is a significant, negative antecedent of online purchase intent. The quality of online information on, respectively, product features and transaction-associated services has a direct and negative influence on purchase perceived risk. Results also show that product-related information quality has a significant positive effect on purchase intent, whereas transaction-associated services information quality does not.