Save the Trip to the Store: Sustainable Shopping, Electronic Word of Mouth on Instagram and the Impact on Cosmetic Purchase Intentions

The COVID-19 pandemic has forced many brands to stop using cosmetic testers to avoid the risk of spreading the infection, jeopardising the future of cosmetic testing. Consequently, consumers must find alternative methods to conduct their information searches and, more importantly, the prospects of shopping online without going to the store to test the product. With the enormous prospects of social media cosmetic electronic word of mouth (eWOM), it is imperative to examine the influence of cosmetic eWOM on social media and for cosmetic marketers to understand the antecedents that result in cosmetic consumers making a purchase. The adapted information adoption model was validated through structural equation modelling based on 341 eligible surveys. The results confirmed that information quality, source credibility, information usefulness, and information adoption are the key antecedents in eWOM on Instagram when investigating purchase intentions in the colour cosmetic industry. This study is one of the pioneers in empirically testing the relationship between information quality and source credibility on information usefulness and, subsequently, the relationship between information usefulness, information adoption, and purchase intentions in a western market based on the cosmetic industry. These new insights provide practical implications for a cosmetic marketer, suggesting the key variables leading to purchase intentions in cosmetic eWOM, which can be utilised in marketing techniques.

Managing COVID-19 and health vulnerabilities: mHealth user experience, information quality and policy recommendations

The interplay between how people use mobile health (mHealth) technologies and its quality information for managing their health vulnerabilities in line with their protected characteristics remains unclear and underexplored. This paper examines the intersections between mHealth users' experiences, information quality issues, and everyday health vulnerabilities in the context of the COVID-19 pandemic by drawing on the theory of planned behaviour and technology acceptance. Semi-structured interviews were conducted with sixty-three participants across three cities: Accra, Lagos and London, to illustrate how barriers to mHealth adoption, and information quality issues, including security and privacy concerns, interact to shape the mHealth user experience. The findings show that key barriers to mHealth user experience and health information quality vary considerably across location and protected characteristics. The paper calls for inclusive and quality mHealth systems in managing health vulnerabilities towards assuring pandemic preparedness and response. By so doing, it contributes to scholarship on the interconnected need for quality information in the context of COVID-19, and highlights the policy implications for mHealth user experience and healthcare delivery. This article was published open access under a CC BY licence: https://creativecommons.org/licences/by/4.0. [ FROM AUTHOR] Copyright of International Development Planning Review is the property of Liverpool University Press / Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The complex evolution of information quality improvement in competitive market

Information is important market resource. High-quality information is beneficial to increase enterprise's reputation and reduce consumer's verification cost. This paper constructs a two-layer dynamic model, in which enterprises simultaneously conduct price and information game. The goal of profit maximization integrates two types of games into one system. The complex evolution of the two-layer system are studied by equilibrium analysis, stability analysis, bifurcation diagram, entropy and Lyapunov exponent. It is found that improving the information quality through regulations will increase involution and reduce stability of the market. Then, the block chain technology is introduced into the model for improving information quality of the market. It is found that increasing enterprises' willingness to adopt block chain can improve the information quality quickly and effectively, and that is verified by entropy value. Therefore, the application and promotion of new technologies are more effective than exogenous regulations for improving information quality in market.

Factors Impacting Online Learning Usage during Covid-19 Pandemic Among Sophomores in Sichuan Private Universities

Purpose: This study aims to examine factors impacting online learning usage among students in Sichuan private universities, China. The variables used to construct the conceptual framework are perceived ease of use, perceived usefulness, information quality, system quality, service quality, attitude towards using, satisfaction, behavioral intention and actual use. Research design, data and methodology: The quantitative approach (n=500) was conducted via online questionnaire, using judgmental sampling, quota sampling and convenience sampling. Before processing the data collection, content validity was reserved by index of item objective congruence (IOC). Pilot study of 40 samples was approved by Cronbach's Alpha reliability test. Afterwards, the data was analyzed in SPSS using descriptive statistics, confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The results revealed that satisfaction had the strongest significant impact on behavioral intention, followed by perceived usefulness on attitude toward using, service quality on behavioral intention, behavioral intention on actual use, information quality on behavioral intention, perceived ease of use on attitude toward using and attitude toward using on behavioral intention. On the other hand, the relationship between system quality and behavioral intention was not significant. Conclusions: Academic practitioners were recommended to encourage online learning usage among students by developing better online learning system, technical support service and learning experience which led to successful adoption and learning effectiveness of students in higher education.

Lockdown, information quality, and political trust: An empirical study of the Shanghai lockdown under COVID-19

Many countries have adopted various measures to curb the spread of the COVID-19 pandemic. The regulation measures of lockdown have triggered changes in public political trust in the government (including in its competence, benevolence and integrity). Information shapes the attitudes and values of residents;this paper aims to study the effect of a lockdown on political trust and the moderating effect from quality of government shared information. From 12 March to 31 May 2022, Shanghai implemented strict lockdown measures. In this study, we randomly sampled the participation information of 1063 participants. Data-based regression analysis shows that lockdown has had a negative impact on all subcategories of political trust. However, timely and accuracy information weakens its negative effect. The accuracy of information moderates the relationship between lockdown and political trust in competence and integrity, while a sufficient supply of information moderates the relationship between lockdown and political trust in benevolence. Points for practitioners: This study explores how different dimensions of information quality affect each component public's political trust, and thereby inspires practitioners to strategically improve information communication in crisis. © The Author(s) 2023.

Effects of the Pandemic and Governance on the Timeliness of Financial Reports of Brazilian Public Companies

This study aimed to verify whether there is a significant difference in the timeliness of companies' financial reports in relation to the level of corporate governance and the beginning of the pandemic. 575 companies were selected, with quarterly data between 2019 and 2020, totaling 3447 observations. Wilcoxon's nonparametric test of the sum of ranks was used, due to the absence of normality. The results indicated that companies: started to publish more timely reports after the beginning of the pandemic;at different levels of governance, they present more timely reports;with differentiated level of governance during the pandemic provided more timely reporting. Additionally, there was no change in the timing of companies listed in traditional governance levels when compared to before and after the beginning of the pandemic. © 2023 Universia. All rights reserved.

Utilitarian motivations to engage with travel websites: an interactive technology adoption model

PurposeThis study aims to investigate perceptions about interactive travel websites. The researchers hypothesize that engaging content, the quality of information and source credibility have a significant effect on the consumers' utilitarian motivations to continue using them in the future.Design/methodology/approachA structured survey questionnaire was used to gather data from 1,287 online users, who were members of two popular social media groups. The methodology relied on a partial least squares approach to analyze the causal relationships within an extended information adoption model (IAM).FindingsThe findings reveal that the research participants perceive the utility of interactive travel websites and are willing to continue using them, particularly the responsive ones. The research participants suggest that these sites are easy to use, capture their attention and offer them useful information on various tourism services. The results also indicate that they appreciate their source credibility (in terms of their trustworthiness and expertise of their curators) as well as their quality content.Research limitations/implicationsThis study integrates key measures from the IAM with a perceived interactivity construct, to better understand the individuals' acceptance and use of interactive websites.Practical implicationsThis research implies that service businesses ought to have engaging websites that respond to consumer queries in a timely manner. Hence, they should offer a seamless experience to their visitors to encourage loyal behaviors and revisit intentions to their online domains.Originality/valueTo the best of the authors' knowledge, there are no other studies that incorporated an interactive engagement construct with key constructs from IAM and from the technology acceptance model (TAM). This contribution underlines the importance of measuring the individuals' perceptions about the engagement capabilities of interactive media when investigating information and/or technology adoption.

The Impact of Video Advertising's Information Quality Content and Risk on Customer Trust and Intention to Buy during the Covid

Many companies use video advertising during the covid pandemic. Video advertising has a positive effect on the industry but also has a negative impact (inherent risk) such as time, physical, financial, and social risk. Video advertising content generally follows information quality characteristics to achieve the maximum result. This study will explore on how Video Advertising's Information Quality Content (VAIQC) affects social media risk, customer trust and intention to buy. The study was conducted using the Structural Equation Model and Partial Lease Square (SEM-PLS) techniques with 246 respondents. Several factors have a significant influence, such as customer trust on intention to buy, financial risk on intention to buy, Video's advertising information quality content (VAIQC) on customer trust, financial risk, physical risk, social risk and time risk. This study also looks at the effect of gender on the research model. The results of this research are very useful for the industry and future digital advertising development. © 2022 IEEE.

Exploring the Impact of the Quality of Social Media Early Adopters on Vaccine Adoption

As social media such as Twitter has become an important medium for disseminating information, it is essential to understand how the information diffusion on social media influences public adoption of vaccines. Based on the innovation diffusion theory, we construct a user and information quality indicator system for early adopters of COVID-19 vaccination by identifying their creation of user-generated content on social media. Machine learning approaches and text analysis methods are used to perform topic clustering and sentiment analysis on vaccination-related tweets on Twitter. Based on each country's vaccination data in January 2021, the study examines the relationship between the quality of social media early adopters, and the quality of the information they publish with vaccine adoption by using the OSL regression model. The empirical results show that the total number of tests, the number of new COVID-19 cases, and the human development index have a significantly positive influence on vaccine adoption. Neutral emotions and offensive language of early adopters on social media have a significantly negative relationship with vaccine adoption. These interesting findings can help governments and public health officials understand early adopters' perceptions of vaccines and play an important role in targeted policy interventions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Development of a Quality Information Scale broadcasted by Electronic Media (QISEM) / Desarrollo de una Escala de Calidad de la Información transmitida por Medios de Comunicación Electrónicos (ECIME)

Resumen La producción de la información, en relación con su calidad dentro de la práctica periodística en general, está supeditada a diversos criterios, como la veracidad de la fuente, la acreditación de los autores, la comprensión del texto y la relevancia de la información, entre otros indicadores. El objetivo del presente trabajo fue desarrollar una escala para evaluar la calidad de la información transmitida por medios de comunicación en Internet. Para ello, se realizaron tres etapas generales: la primera estuvo conformada por 13 estudios, donde, después de un análisis de contenido, se extrajeron las dimensiones o aspectos de la calidad de la información más frecuentemente mencionados. Posteriormente, se procedió a la detección de 35 indicadores, clasificados en 5 dimensiones; en la segunda se obtuvieron 65 ítems, a partir de la clasificación de 5 dimensiones y los 35 indicadores; en la tercera se pilotó el instrumento obtenido, el cual adquirió un formato de lista de verificación integrado por 38 ítems, y con el propósito de determinar la validez de discriminación y la confiabilidad de la escala, se aplicó a una muestra no aleatoria de 100 noticias sobre COVID-19, publicadas en sitios de internet durante el 21 de enero de 2020 y el 31 de julio de 2021. La escala desarrollada permitió evaluar la calidad de la información que se transmite por medios de comunicación electrónicos, por lo que puede ser utilizada para mejorar las prácticas de los encargados de construir el contenido informativo y divulgarlo.

Abstract Information production, regarding its quality within journalistic practice in general, is subject to various criteria, such as the veracity of the source, the accreditation of the authors, the understanding of the text, and the relevance of the information, among other indicators. The objective of the present work was to develop a scale to assess the quality of information broadcasted by media on the Internet. To achieve this goal, three general stages were carried out: the first consisted of 13 studies, where, after a content analysis, the most frequently mentioned quality information dimensions were extracted. Subsequently, 35 indicators classified in 5 dimensions were detected. In the second stage, 65 items were obtained from the classification of 5 dimensions and 35 indicators. In the third stage, the obtained instrument was piloted. The instrument acquired a checklist format made up of 38 items. To determine the discrimination validity and the reliability of the scale, it was applied to a non-random sample of 100 COVID-19 news posted on internet sites from January 21st, 2020, to July 31, 2021. The developed scale allowed the evaluation of the quality of information broadcasted by electronic media, it can therefore be used to improve the practices of those in charge of constructing the informative content and disseminating it.

An investigation on information quality, media richness, and social media fatigue during the disruptions of COVID-19 pandemic.

Mobile social platforms have become a valuable information source by which users gain information about the COVID-19 pandemic. However, little is known about whether users have experienced increased daily fatigue as a result of the disruptions caused by pandemic. Drawing on the cognitive activation theory of stress (CATS), this study proposed that two typical characteristics of social media platforms (SMP), information quality and media richness, are associated with event disruptions of the COVID-19 pandemic (EDC), and then induce social media fatigue. To address this, this study used the experience sampling method (ESM), collecting 550 matched cases from 110 users of the WeChat application in mainland China over five consecutive days. Through multilevel structural equation modeling (MSEM), this study discovered three main findings: (1) daily information quality is negatively related to event disruptions of the COVID-19 pandemic, which in turn decreases daily social media fatigue; (2) daily media richness is positively associated with such event disruptions, which ultimately increases daily social media fatigue; (3) these effects were stronger for users who reported higher (vs. lower) levels of health consciousness. The implications of these results for the COVID-19 pandemic and beyond are discussed.

Assessing the quality of COVID-19 vaccine videos on video-sharing platforms.

BACKGROUND: Video-sharing platforms are a common source for health information such as Coronavirus Disease 2019 (COVID-19) vaccines. It is important that they provide good quality, evidence-based information. However, to date, the quality of information surrounding COVID-19 vaccines on video-sharing platforms has not been established. OBJECTIVE: This study developed an assessment tool to evaluate the quality of Coronavirus Disease 2019 (COVID-19) vaccine videos on YouTube, Facebook Watch and TikTok. METHODS: Assessment of quality was based on understandability, actionability, accuracy, comprehensiveness and reliability. Videos were searched using the keywords "COVID-19 vaccine", "Coronavirus vaccine" and "SARS-CoV-2 vaccine". Seventy-two videos were evaluated. Descriptive statistics, Kruskal-Wallis and Wilcoxon-rank sum tests were used for analysis. RESULTS: YouTube had the highest median composite score compared to TikTok (36.8% versus 27.5%, p = 0.001). YouTube also had the highest median reliability score (37.5%), but those of Facebook Watch (35.0%) and TikTok (35.0%) were only marginally lower. Median accuracy scores of all platforms were 100%, but their median comprehensiveness scores were low (YouTube 12.5%; Facebook Watch 6.3%; TikTok 6.3%, p = 0.004). Median actionability scores (0%) were the lowest for all platforms. TikTok had the highest median understandability score compared to YouTube and Facebook Watch (96.9% versus 80.0 each, p < 0.001). CONCLUSION: The overall quality of videos on all video-sharing platforms were low. All platforms provided accurate COVID-19 vaccine information, but TikTok videos were the most understandable. Most videos did not provide full details about COVID-19 vaccines, thus viewers would need to watch several videos before making a better-informed decision.

Acceptance of e-learning in higher education: The role of task-technology fit with the information systems success model.

The COVID-19 global epidemic has compelled higher education institutions to reconsider their teaching methods. Because of this public health emergency, universities in higher education have adopted e-learning techniques as a solution to face-to-face education. Thus, e-learning has emerged as a critical technology in education at higher education institutions. Nonetheless, the effectiveness of e-learning systems is largely dependent on students' adoption of such systems. The study aims to evaluate the usefulness of task-technology fit (TTF) with the information system success model (ISSM) in perceiving students' adoption of e-learning with the goal of encouraging them to adopt e-learning in the context of higher education. The study employed a quantitative approach, and a theoretical model was evaluated with proposed hypotheses to find the relationships between the constructs. A questionnaire based on TTF and ISSM was distributed among the students, and 260 valid responses were received using a sample random sampling technique. Data was analyzed with the help of SPSS and Partial Least Squares-Structural Equation Modeling (PLS-SEM). After analyzing the data, it was found that perceived ease of use, perceived usefulness, system use, and task technology fit of e-learning are positively and significantly influenced by system quality, information quality, perceived enjoyment, technology characteristics, and task characteristics. The results of TTF and ISSM on system use show a positive effect on e-learning benefits in educational institutions, with all male and female students completely satisfied with the use of e-learning systems. As a result, we advise students to use e-learning systems for educational purposes and should have motivated them to do so through lecturers at higher-level educational institutions.

System Characteristics in Predicting E-Learning Acceptance: An Extended Technology Acceptance Model (TAM) Study

Learning habits among students in higher institution, has radically changed over the last two decades, partially due to the features of the information and digital society, wide scale broadband internet access, proliferation of smart devices and consequently, available online mobile applications. Thus, in higher education, e-learning systems are essential, and the COVID-19 pandemic era has seen an increase in popularity of e-learning. Thus, it is critical to establish the extent to which students in higher education adopt e-learning. This paper focuses at developing a framework for e-learning technologies through the Technology Acceptance Model (TAM) by incorporating system characteristics as its' extended variable, which consists of three main constructs: system quality, content quality and information quality among university students in Malaysia. Regarding the system characteristics, the findings suggested that all three components that make up system characteristics had a significant positive influence on students' perceived ease of use of the e-learning system, whereas only system quality and information quality had a significant positive impact on students' perceived usefulness of the e-learning system. With respect to TAM, all relationships were found to be significant. © 2022 IEEE.

Go digital! determinants of continuance usage of mobile payment apps: Focusing on the mediating role of gamification

Background: COVID-19 spread over the last two years has been instrumental in shifting physical banking transactions to mobile-based banking transactions. Recently, M-payments have dominated online and point-of-sale (POS) transactions in the Asia-pacific region. Therefore, there was a need to study the factors influencing M-payments. This research has been conducted to determine the significant factors influencing the usage and continuance usage of M-payment apps in an emerging country and particularly how gamified features enhance the usage of M-payments apps.is study is based on the perspectives of the Unified theory of acceptance and use of technology (UTAUT2) and information system success (ISS) theory, and it adds three new determinants—trust, gamified features, and continued use of mobile payments to better explain and forecast users' behavioral intentions and continued use of mobile payment applications (M-payments apps). Method: The research has employed two studies on sample data from young users of M-payment apps (n=898), the dataset was analyzed through structural equation modelling for mediation and moderation analysis in study one. The second study was grounded through Vignette experiments to analyze the effects of the degree of gamified features on the continued usage of M-payments. Results: The results reported that behavioral intention to adopt, and usage of mobile payments are significantly mediated by gamified features and gamified features are partially mediating continuance usage of M-payments. Trust is the key to enabling continuance usage amongst the users of M-payments. These findings extend the understanding of users' continuance intention in the context of payments apps. Conclusion: This study would be helpful in presenting insights for the M-payments service providers and the associated banks to develop strategy for the continuance usage of mobile payment apps. © Association for Information Systems.

The Roles of Information Valence, Media Literacy and Perceived Information Quality on the Association Between Frequent Social Media Exposure and COVID-19 Vaccination Intention.

PURPOSE: This study aimed to examine the associations between frequent exposure to positive/negative information about vaccine efficacy/safety on social media and intention of COVID-19 vaccination, and to test if media literacy and perceived information quality would moderate such associations. DESIGN: A multi-city cross-sectional survey. SETTING: At five universities in different regions of China. SUBJECTS: 6922 university students (a response rate of 72.3%). MEASURES: frequency of exposure to social media information about COVID-19 vaccination, media literacy, perceived information quality, intention of COVID-19 vaccination, and sociodemographic characteristics. ANALYSIS: Logistic regression analysis was conducted to test main and interaction effects. RESULTS: Higher exposure to positive information about vaccine efficacy (adjusted odds ratio [AOR] = 1.30, P < .001) and vaccine safety (AOR = 1.27, P < .001) were positively associated with vaccination intention. No significant associations were shown between exposure to negative information about vaccine efficacy/safety and vaccination intention. Higher net exposure to negative vs positive information was negatively associated with vaccination intention (AOR = .82, P < .001). High media literacy was further found to attenuate the effect of negative information exposure and strengthen that of positive information exposure. Perceived information quality was not a significant moderator. CONCLUSION: The valence of social media information regarding the efficacy and safety of COVID-19 vaccines and individuals' media literacy jointly shaped COVID-19 vaccination intention. The findings can inform the development of effective health promotion strategies for enhancing COVID-19 vaccination.

Health misinformation and freedom of expression: considerations for policymakers.

Health misinformation, most visibly following the COVID-19 infodemic, is an urgent threat that hinders the success of public health policies. It likely contributed, and will continue to contribute, to avoidable deaths. Policymakers around the world are being pushed to tackle this problem. Legislative acts have been rolled out or announced in many countries and at the European Union level. The goal of this paper is not to review particular legislative initiatives, or to assess the impact and efficacy of measures implemented by digital intermediaries, but to reflect on the high constitutional and ethical stakes involved in tackling health misinformation through speech regulation. Our findings suggest that solutions focused on regulating speech are likely to encounter significant constraints, as policymakers grasp with the limitations imposed by freedom of expression and ethical considerations. Solutions focused on empowering individuals - such as media literacy initiatives, fact-checking or credibility labels - are one way to avoid such hurdles.

Designing Local Government Information Quality Measures on Covid-19 Information System

There is no standard Information Quality (IQ) measurement for Government Information Systems (IS). Many government institutions intend to measure their Information Quality (IQ) from Information Systems (IS). Unfortunately, there is no standard measurement that can be used. Meanwhile, there is a common IQ problem that can occur in government IS such as slow information updating, the accuracy of the information, lack of information availability, information representation, information accessibility, etc. We have Covid-19 Data and Information Center and we want to know how the information quality affects the people's decision to implement the covid-19 protocol. We tried to build the IQ model from the constructs and indicators based on theoretical background. Then, we explored the relationship between the constructs and indicators using Exploratory Factor Analysis (EFA), and we confirmed the relationship between the constructs and indicators by Confirmatory Factor Analysis (CFA). From this study, we conclude there are 4 categories, 9 dimensions, and 30 indicators that can be used for measuring the Covid-19 information system. © 2022 IEEE.

Go Digital! Determinants of Continuance Usage of Mobile Payment Apps: Focusing on the Mediating Role of Gamification

Background: COVID-19 spread over the last two years has been instrumental in shifting physical banking transactions to mobile-based banking transactions. Recently, M-payments have dominated online and point-of-sale (POS) transactions in the Asia-pacific region. Therefore, there was a need to study the factors influencing M-payments. This research has been conducted to determine the significant factors influencing the usage and continuance usage of M-payment apps in an emerging country and particularly how gamified features enhance the usage of M-payments apps.is study is based on the perspectives of the Unified theory of acceptance and use of technology (UTAUT2) and information system success (ISS) theory, and it adds three new determinants—trust, gamified features, and continued use of mobile payments to better explain and forecast users' behavioral intentions and continued use of mobile payment applications (M-payments apps). Method: The research has employed two studies on sample data from young users of M-payment apps (n=898), the dataset was analyzed through structural equation modelling for mediation and moderation analysis in study one. The second study was grounded through Vignette experiments to analyze the effects of the degree of gamified features on the continued usage of M-payments. Results: The results reported that behavioral intention to adopt, and usage of mobile payments are significantly mediated by gamified features and gamified features are partially mediating continuance usage of M-payments. Trust is the key to enabling continuance usage amongst the users of M-payments. These findings extend the understanding of users' continuance intention in the context of payments apps. Conclusion: This study would be helpful in presenting insights for the M-payments service providers and the associated banks to develop strategy for the continuance usage of mobile payment apps.

Antecedents of mobile banking app adoption during COVID19: A perspective of Jordanian consumer

The effect of contextual factors namely information quality, service quality, system quality, Technological readiness, trust in applications (app) and COVID-19 health anxiety, on the intention and consequently the actual use of Mobile Payment (MP) app was examined in this study. Trust, as mediator to the relationship between technological readiness and intention to use MB-app was examined also. Data were obtained from 740 Jordanian Mobile Banking (MB) app users through an online survey. The relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety, Technological readiness and the intentions to use MB-app and the actual use of MB-app was empirically examined. The results showed a positive relationship between service quality, system quality, information quality, trust in the app and COVID-19 health anxiety, and the intentions to use MB-app, and in turn he actual use of MB-app, and a positive mediation of trust on the relationship between COVID-19 health anxiety and the intentions to use MB-app. © 2023 by the authors;licensee Growing Science, Canada.