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Showing papers in "Online Information Review in 2020"


Journal ArticleDOI
TL;DR: In this paper, the authors developed a predictive model that established the user motivational factors that predict COVID-19 fake news sharing on social media, and the partial least squares structural equation modeling (PLS-SEM) was used for the analysis.
Abstract: This study developed a predictive model that established the user motivational factors that predict COVID-19 fake news sharing on social media.,The partial least squares structural equation modelling (PLS-SEM) was used for the analysis. Data were drawn from 152 Facebook and WhatsApp users in Nigeria to examine the research model formulated using the uses and gratification theory (UGT).,We found that altruism, instant news sharing, socialisation and self-promotion predicted fake news sharing related to COVID-19 pandemic among social media users in Nigeria. Specifically, altruism was the strongest predictor to fake news sharing behaviour related to COVID-19, followed by instant news sharing and socialisation. On the contrary, entertainment had no association with fake news sharing on COVID-19.,We suggest intervention strategies which nudge people to be sceptical of the information they come across on social media. We also recommend healthcare providers and the Nigerian government to provide relevant information on this current pandemic. That is, correct information should be shared widely to the public domain through various conventional and online media. This will lessen the spread of fake news on the concocted cure and prevention tips found online.,The salient contributions of this study are as follows: First, it brings to the fore that the desire for self-promotion is associated with fake news sharing on social media; second, it shifts the focus of studies on fake news from detection methods to sharing behaviour, which fuels the uncontrollable spread of falsehood; third, it expands the existing literature on misinformation sharing by demonstrating the user motivation that leads to fake news sharing using the UGT.

47 citations


Journal ArticleDOI
TL;DR: This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience, and indicates a heuristic role for trust regarding underlying links to technological and affective affordances.
Abstract: This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience. Focusing on the effect of trust on cognitive processes, the authors analyze how affordances in blockchains affect the user experience.,The blockchain affordances are examined through a two-stage process. The authors employ a qualitative analysis based on insights gained from the current literature and interviews. The authors then apply a quantitative survey to examine the role of trust in interactions with blockchain services. A structural user model was tested in which their appreciation of affordances of blockchain predicted the trust and satisfaction.,Users' appreciation for transparency and reliability explained to what extent they trust and are satisfied, thereby suggesting the heuristic roles of trust in blockchains. The study findings indicate a heuristic role for trust regarding underlying links to technological and affective affordances. A user's cognitive heuristics affect their attitudes toward blockchain, in which technological features are processed through users' perceptions and experience.,The model contributes to the conceptualization of security, privacy and traceability along with trust, which is then linked to transparency and reliability. The findings show how the frame of affordances gains explanatory power by being linked to the concepts of affect and emotion. The heuristics of direct perception of security–traceability–privacy (STP) can be used to understand the trajectory of heuristics and ongoing choices of blockchain.,The study results offer a lens through which to address the technology's most common problems by pairing user experience principles and heuristics to blockchain technologies. This study offers insights into the understanding of user actions related to blockchains and into practical implications for developing trust-based services. The results guide the application and tailoring of motivational affordances in blockchain.,While blockchain technology has gained popularity and momentum, there has been little research on how specific features of blockchain technology create value. This study contributes to the research gap by highlighting the role and dimension of trust in relation to STP in blockchains and provides meaningful implications for theory and practice.

38 citations


Journal ArticleDOI
TL;DR: In this paper, the authors examine students' perception of mobile technology adoption for library service apps as a lens to explore the factors affecting mobile learning in higher education, and derive alternative models from their analysis (benchmarked on technology acceptance model and unified theory of acceptance and use of technology).
Abstract: The purpose of this study is to examine students' perception of mobile technology adoption for library service apps as a lens to explore the factors affecting mobile learning in higher education.,With the data collected from university students from Hong Kong and Japan, the authors conducted a comparative study for gaining a better understanding of students' perceptions toward adopting mobile apps as learning tools and other socio-cultural factors affecting such adoption. In particular, the authors derive alternative models from our analysis (benchmarked on technology acceptance model and unified theory of acceptance and use of technology) for a better explanation of the formation of the intentions, and, more importantly, cultural factors would affect such formation, as informed by the Hofstede Cultural Dimensions.,The findings are valuable for enhancing the effectiveness and adoption of mobile services for teaching and learning purposes in the context of higher education, as the focus of promotion of services should be tailored to the different student expectations in different regions, e.g. mainly performance expectancy in Japan versus in Hong Kong facilitating condition, performance expectancy and perceived usefulness altogether.,Defined as contributing to the development of learning assistance, mobile technology for library use and information access have become a significant issue raised in many higher educational institutions over the world, as the characteristics of mobile technology, such as portability and mobility, strengthen its possible use in education. However, scant research has been done in understanding the perception of mobile library use and factors affecting the behavioral intentions through the use of mobile technologies in Hong Kong and most Asian countries have not been sufficiently studied.

31 citations


Journal ArticleDOI
TL;DR: A theoretical framework based on cost-benefit theory that also considers social influences is constructed to form an integrated research model that explains the intentions of individuals to use mobile payment services.
Abstract: The number of smartphone users has increased with the maturity of mobile networks, which has not only led to a new lifestyle but has also facilitated the development of mobile application services. Smartphones are regarded as essential communication devices. Currently, diverse groups of people are considering using mobile payment services. Thus, the motives for using mobile payment as well as individual motives for continuing usage are of great research interest. The purpose of this paper is to examine the behavioral motivations underlying individual intentions to continue using mobile payment.,To explore the factors affecting the intention to use mobile payment services, this study constructed a theoretical framework based on cost-benefit theory that also considers social influences to form an integrated research model that explains the intentions of individuals to use mobile payment services. Online questionnaires were used to evaluate individuals with experience using mobile payment services. A total of 302 questionnaires were collected. Structural equation modeling was employed to assess the relationships among factors included in the research model.,Perceived value, social norms and social self-image played crucial roles in the intention to use mobile payment services. Furthermore, perceived benefits (relative advantage and service compatibility) and perceived costs (security risks and perceived fees) determined users’ perceived value. Social self-image positively affected users’ perceived value; in the context of a mobile-oriented information system, the ability of a mobile payment service to satisfy a user’s demands with respect to social self-image influenced the user’s perceived value of using such services.,This study contributes to a theoretical understanding of factors that explain users’ intention to use mobile payment services.

30 citations


Journal ArticleDOI
TL;DR: The empirical results revealed that continuous trust is shown to be a significant predictor of customers’ intention to continue OPRs use for future purchases and the incorporation of continuous trust into the IS continuance model offers a new theoretical lens and an alternative explanation for the OPR continuous usage intention.
Abstract: This study examines the role of continuous trust (i.e., a trust that develops over time as a result of continuous usage interactions) in determining customers' intention to continue using online product recommendations (OPRs).,Based on information system (IS), continuance model, and continuous trust, we propose that continuous trust will influence customers’ intention to continue OPRs’ use directly and indirectly via their satisfaction and usefulness of the OPRs. The research model is tested using data collected via an online survey from 626 existing users of OPRs in 15 different countries.,The empirical results revealed that continuous trust is shown to be a significant predictor of customers’ intention to continue OPRs use for future purchases. Additionally, the customers’ perceived confirmation and continuous trust positively influence their perceived usefulness and satisfaction with the OPRs, which subsequently influence customers’ OPRs continuous usage intention.,The saliency of continuous trust and usefulness of OPRs present e-retailers with potential fruitful areas to shape future usage of OPRs. In addition, e-retailers must understand that improving the OPR usefulness on its own may not lead to OPRs continuous usage until OPRs trustworthiness is not continually improved. OPRs itself may be convenient and useful, but trustworthy OPRs will pay stronger dividends for customer satisfaction and OPRs’ continuous usage.,The incorporation of continuous trust into the IS continuance model offers a new theoretical lens and an alternative explanation for the OPR continuous usage intention. This study stands in contrast to the large majority of research concerning initial trust and OPRs adoption, in that it focuses on continuous trust (as opposed to initial trust) and on a customers’ OPRs continuous usage intention as opposed to the initial adoption decision.

30 citations


Journal ArticleDOI
TL;DR: The authors found that both PG and UG students were generally satisfied with the use of social networking sites (SNSs) for learning, however, PG subjects used S NSs more for learning and were more willing to exchange with classmates than UG and PG perceived higher value of SNSs than Ug students.
Abstract: Social networks provide convenient communication and connection among people, and they have become essential in college students' lives. However, problems also come along with increasing concern about trust and privacy issues. This research attempts to investigate the trust and privacy perceptions of university students when using social networks for learning purposes.,This paper investigated the differences in trust and privacy perceptions between undergraduate (UG) and postgraduate (PG) students through an online survey with 96 subjects in Hong Kong. The authors used the Mann–Whitney U test to compare the differences between the responses provided by UG and PG subjects.,The authors found that both PG and UG students were generally satisfied with the use of social networking sites (SNSs) for learning. However, PG subjects used SNSs more for learning and were more willing to exchange with classmates than UG and PG perceived higher value of SNSs than UG students. The authors also found a relative lack of privacy awareness of UG students.,Based on the study’s findings, the authors made some recommendations about the application of SNSs for learning purposes. The authors also suggest universities provide more guidance and training to students on the privacy issues of SNSs.,Even though some previous studies have focused on studying privacy and trust issues on SNSs, studies that aim at university students in the context of Asia–Pacific are rather limited, especially university students' own trust and privacy perceptions on using SNSs for learning purposes.,The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2020-0042

25 citations


Journal ArticleDOI
TL;DR: The drivers of perceived usefulness, performance-to-cost value, and self-regulation have similar effects on both adopters and non-adopters on intention to adopt MOOCs, and what differs between the two groups are the barriers to MOOC adoption.
Abstract: Despite the advantages of MOOCs (Massive Online Open Courses), the adoption rate is still low, especially in less developed countries. The present study aims to investigate the drivers and barriers faced by adopters and non-adopters of MOOCs, and examine how these factors influence the intention of MOOC adoption.,A survey questionnaire was developed to measure how the identified factors may impact adopters and non-adopters' intention of using MOOCs. Through both offline and online channels, 1018 valid questionnaires were collected in China. Multiple regression analysis was applied to test the influential factors for adopters and non-adopters of MOOCs.,This study found that the drivers (i.e. perceived usefulness, performance-to-cost value, and self-regulation) have similar effects on both adopters and non-adopters on intention to adopt MOOCs. What differs between the two groups are the barriers to MOOC adoption. While adopters considered educational tradition and peers' impact as major barriers, non-adopters regarded lack of publicity and relevant information to be an obstacle. In addition, both adopters and non-adopters were hindered by the lack of accessibility and instructions.,As all the participants of this study were from one country in Asia, the findings may not be applicable to explain the situation of MOOC adoption in other countries with different social and cultural context.,In addition to the perceptions of adopters, this study also reveals the perceptions of non-adopters of MOOCs, which has seldom been investigated. In addition, this study focuses on the context of economically disadvantaged regions which have been neglected in previous studies of MOOC adoption.

24 citations


Journal ArticleDOI
TL;DR: Discovering the motives of SNS usage, segmenting users based on these motives, and then portraying the personality traits of each segment gives important clues about how SNSs can better design their interfaces and generate content for attracting users in different segments.
Abstract: Social networking sites (SNS) have become extensively used communication environments as a result of the advancements in online technologies, and among various SNS platforms, Instagram is currently the most prominent image-based network. Since usage motives for alternative SNS environments with different outstanding benefits are expected to vary, this study has focused mainly on extracting the key context-specific usage motives of Instagram. Another purpose of this study is to figure out personality traits differences among Instagram user segments.,An online survey was designed, and a total of 690 fully completed questionnaires was collected, and 507 of the respondents were Instagram users. After conducting factor analysis, six main usage motive categories have been revealed and named as self-expression, recording, socialization, recreation, creativity, and prying.,Instagram users have been clustered as passionate, distant, and spectator users based on their usage motives. Ultimately, personality differences among these clusters have been explored using the Big Five Inventory (BFI) and two additional traits, social interaction anxiety, and fear of negative evaluation. Openness to experience, social interaction anxiety, and fear of negative evaluation were found to be significantly different among these clusters.,Discovering the motives of SNS usage, segmenting users based on these motives, and then portraying the personality traits of each segment gives important clues about how SNSs can better design their interfaces and generate content for attracting users in different segments.

23 citations


Journal ArticleDOI
TL;DR: The research showed that digital inequality in Russia is still on place and will require more time for complete elimination, even though current state and public initiatives are being actively developed.
Abstract: This paper contributes to the literature by proposing an analysis of digital inequalities in Russia that focuses on two aspects hitherto under explored: the interregionality (by comparing and contrasting eight federal districts) and the multidimensionality of digital inequalities (by taking into account the three levels of digital divide). Therefore, the aim is to address the phenomenon of digital divide in Russia by discussing the three levels of the digital divide (access / skills / benefits) in a comparative and interregional perspective.,This paper uses secondary data for its analysis, including both national (e.g. the total number of daily Internet users in Russia) and more regionalized data (related to particular federal districts of Russia). The choice of data sources was determined by an attempt to provide a detailed and multifaceted coverage of all three levels of the digital divide in Russia, which is not limited to the access problem only. For this purpose, we are using and re-elaborating various reports about the development of the Internet and ICTs in Russia prepared by national and international organizations to cover the first level of the digital divide. To shed light upon the second and third levels of the digital divide, we discuss digital literacy report (2018), the report on Internet openness index of Russian regions (2017) and the report on the digital life index of the Russian regions (2016). Finally, in the attempt to map out the key directions of the state policy aimed at decreasing digital inequality in Russia, on both federal and regional levels, we analyze the most important regional and national policy measures to foster digitalization such as the digital Russia program, the digital government program and the program of eliminating digital inequality in Russia.,We consider this study to be both a first exploration and a baseline of the three level digital divides in Russia. The paper shows how the level of socioeconomic development of the federal districts, as well as a number of objective factors (distance/isolation, urbanization level, availability of infrastructure and costs for building new infrastructure, etc.) have impact upon digitalization of the regions. As a result, several federal districts of Russia (Central, Northwestern, and, in a number of cases, Ural and Volga federal districts) more often than others take leading positions in rankings, in terms of degree of Internet penetration, audience numbers, use of e-services, etc. This correlation, however, is not universal as we will show, and some regions lacking behind in terms of access can be booming in terms of digital literacy or other factors, like it happened with the Far Eastern Federal district for example. All in all, our research showed that digital inequality in Russia is still on place and will require more time for complete elimination, even though current state and public initiatives are being actively developed.,This paper will bring to light meaningful insights into the three levels of digital divides in Russia. Based on a multilevel (three levels of digital divide) and multi-sectional approach (the interplay of different types of inequalities), this paper contributed to overall better understanding of the digital inequalities phenomenon in Russia. It also allowed for a comparative interregional perspective, which has been missing in most papers on digital inequalities in Russia so far.

21 citations


Journal ArticleDOI
TL;DR: This study offers the first comparison of viewers’ reactions towards skippable vs non-skippable formats, in terms of brand recall and economic performance, and suggests distinctions should be made between formats and audiences that lead to different information processing methods.
Abstract: By integrating the evidence of various audience theories, a comparison is made of viewers’ information processing of new interactive video advertising formats (skippable video ads) with traditional, non-skippable formats. The purpose of this paper is to focus on how exposure to a brand name at different moments during online video advertisements influences viewers’ recall.,A neuroscientific pre-test supported the selection of an arousing video, and a subsequent pre-test confirmed the scenario validity. Using a broader sample, the main study applied a 3×2 experimental design of different ad designs and formats.,Distinctions should be made between formats and audiences that lead to different information processing methods. Users exposed to skippable ads (active audiences) exert a higher control over advertising and tend to process the information presented in the initial part of an ad. In turn, users viewing non-skippable ads (passive audiences) should be exposed to the high arousal stimulus before presentation of the key information that the advertiser wants them to remember.,Advertising managers and content creators can use these results to improve the design of their online videos, and to achieve greater effectiveness in terms of information recall.,Skippable online videos have become a commonly used advertising format, but research into their effects is scarce. This study offers the first comparison of viewers’ reactions towards skippable vs non-skippable formats, in terms of brand recall and economic performance. Further research might extend this underdeveloped field of study and enhance the knowledge of video format processing in social media.

21 citations


Journal ArticleDOI
TL;DR: The positive effect of life satisfaction on online content sharing is greater for male users than for female users, and the boundary conditions of this framework are demonstrated by testing the moderating role of gender differences.
Abstract: With the prevalence of user-generated content on the internet, this study aims to propose a cognitive-affective-conative model to examine how users create and share their content online. The moderating role of gender differences is also tested in the model.,This study collects a representative sample of 873 internet users via a nation-wide survey in Taiwan.,The results show that hedonic value has a positive impact on internet satisfaction, and social value affects life satisfaction and internet satisfaction positively. Both life satisfaction and internet satisfaction are positively related to content sharing on the internet. In particular, the positive effect of life satisfaction on online content sharing is greater for male users than for female users.,This study contributes to the existing literature by investigating online content sharing behavior from the cognitive-affective-conative perspective. This study also provides a better understanding of this behavior by simultaneously examining life satisfaction and internet satisfaction as two underlying mechanisms. Furthermore, gender differences play an important role in determining content sharing on the internet.,For digital marketing practitioners, this study suggests several online editing and social mechanisms for encouraging users' engagement in content sharing behavior on the internet.,This study is one of the first that examines a cognitive-affective-conative framework of content sharing behavior on the internet. This study also demonstrates boundary conditions of this framework by testing the moderating role of gender differences.

Journal ArticleDOI
TL;DR: It was found that different determinants are associated with different e-government dimensions, and future empirical studies should differentiate between those dimensions when studying local government.
Abstract: The empirical research of e-government at the local level has been the subject of many studies in the last two decades. The evidence collected by those studies constitutes a relevant opportunity toward the development of a theory of local e-government implementation. However, several synthesis efforts are needed before such a theory can be developed. The purpose of this article is to contribute to that endeavor by proposing an empirical model of the determinants of e-government implementation by local governments.,The empirical model results from the systematic revision of 59 primary studies published in scientific journals, between 2002 and 2018. As a starting point, a conceptual map relating concepts such as readiness, diffusion, adoption, implementation and institutionalization is presented.,There is a common set of determinants that explains local e-government implementation in general, and three other sets of determinants that contribute to differentiate each one of three e-government dimensions: e-participation, e-transparency and e-services.,Because it was found that different determinants are associated with different e-government dimensions, future empirical studies should differentiate between those dimensions when studying local government.,This is the first study to attempt a synthesis effort on the determinants of e-government implementation by local governments.

Journal ArticleDOI
TL;DR: The findings revealed that posts related to community events, awards and photos were likely to receive more likes and shares, whereas posts about summer reading programs received relatively more comments.
Abstract: The purpose of this paper is to explore topics of Facebook posts created by public libraries using the bi-term topic model, and examine the relationships between types of topics and user engagement. The authors further investigated the effects of three library factors, namely, staff size, budget and urbanization degrees, on Facebook content and user engagement based on multilevel generalized linear modeling.,This study suggested a novel method, a combination of the bi-term topic modeling and MGLM, to enhance the understanding of social media in the context of public libraries.,The findings revealed that posts related to community events, awards and photos were likely to receive more likes and shares, whereas posts about summer reading programs received relatively more comments. In addition, the authors found that a larger staff size and the inclusion of multimedia had positive impacts on user engagement.,This study analyzed the content of public library-generated social media based on text mining. Then, the authors examined the effects of contextual library-level factors on social media practice in public libraries. Based on empirical findings, the study suggested a range of practical implications for effective use of social media in public libraries.

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors evaluated the growth of scientific literature in the domain of coronavirus and Covid-19 pandemic research based on scientometric indicators: prolific countries and relative citation impact (RCI), influential institutions, author analysis and network, h-index and citation, DC (degree of collaboration), CC (collaboration coefficient), MCI (modified collaboration index), and modified collaboration index).
Abstract: Purpose: This study is an attempt to evaluating the growth of scientific literature in the domain of coronavirus and Covid-19 pandemic research based on scientometric indicators: prolific countries and relative citation impact (RCI);influential institutions;author analysis and network, h-index and citation;DC (degree of collaboration), CC (collaboration coefficient), MCI (modified collaboration index) in the subject domain of coronavirus and Covid-19 research Design/methodology/approach: The authors adopted approaches to obtain the literature data from Scopus database from 2000 to 2020 by conducting a systematic search using keywords related to the studied subject domain In total, 15,297 numbers of records were considered for the literature analysis considering the real significant growth of this subject domain This study presented the scientometric analysis of these publications Furthermore, statistical correlations have been used to understand the collaboration pattern Visualization tool VOSviewer is used to construct the co-author network Findings: The present study found that 53 57% (8,195) of the research documents published on the open-access platform Journal of Virology was found to be most preferred journal by the researcher producing around 839(5 48%) articles USA and China dominate in the research output, and the University of Hong Kong has produced the highest number of research paper 547(3 58%) A significant portion of the research documents are published in the subject domain of medicine (49 70%), followed by immunology and microbiology (35 72%), and biochemistry, genetics and molecular biology subject domains (22 32%) There has been an unparalleled proliferation of publications on COVID-19 since January 2020 and also a significant distribution of research funds across the globe Research limitations/implications: The study exclusively examines 15,297 research outputs which have been indexed in the Scopus database from 2000 to 2020 (till 01 April 2020) Thus, documents published in any other different channels and sources which are not covered in Scopus are excluded from the purview of research Practical implications: It will be beneficial for researchers and practitioners worldwide for understanding the growth of scientific literature in the coronavirus and COVID-19 and identifying potential collaborator Originality/value: Considering the global impact and social distress due to the outbreak of COVID-19 pandemic, this study is significant in the present scenario for identifying the growth of scientific literature in this field and evolving of this domain of research around the globe The research results are useful to identify valuable research patterns from publications and of developments in the field of coronavirus and COVID-19 © 2020, Emerald Publishing Limited

Journal ArticleDOI
TL;DR: This study develops two models, one based on the theory of planned behavior (TPB) and another based on social capital theory (SCT), to explain why individuals want to share their assets with others.
Abstract: The sharing economy is an emerging trend that takes advantage of underused assets and generates enormous amount of economic value. However, little research has been done to understand the factors that drive people to share assets.,This study develops two models, one based on the theory of planned behavior (TPB) and another based on social capital theory (SCT), to explain why individuals want to share their assets with others. An Internet survey is conducted to collect data and test the proposed models. Most of respondents were members of Airbnb or Uber – accommodation sharing and taxi services.,The results show that the TPB model has greater explanatory power than the SCT model. The individual's motivations, attitude, perceived behavioral control, facilitating technological conditions and identification with the community increase their intention to share assets.,This study distinguishes asset suppliers from consumers to clearly understand the factors that influence the intention to provide underused assets. The research findings can help companies participating in the sharing economy to induce people to share.

Journal ArticleDOI
TL;DR: Organizations looking to use social media to influence attitudes and behavioral intentions toward health issues should seek to reach their target audiences through selecting endorsers and messages that will optimally present the health issue in a relatable and engaging way.
Abstract: Through two experiments, this study assessed source and message effects of Instagram-based pro-veganism messages.,Experiment 1 (N = 294) examined effects of organization (brand vs nonprofit) and message types (egoistic vs altruistic) on consumer responses to Instagram-based pro-veganism content. Experiment 2 (N = 288) examined effects of source type (celebrity vs noncelebrity) and message valence (positive vs negative) on consumer responses to Instagram-based pro-veganism content.,Results demonstrated significant main effects of organization type, with consumers indicating more positive attitudes and higher credibility toward the brand. Significant main effects of message type were also found, with altruistic messages eliciting higher perceived information value than egoistic messages. Subjective norms had moderating effects on attitude toward the organization, while attitude toward veganism had moderating effects on perceived information value. Results also indicated significant main effects of message valence on perceived information value of pro-veganism Instagram posts and significant interaction effects of the two manipulated factors on intention to spread electronic word-of-mouth (eWOM) about pro-veganism.,Implications for use of Instagram-based health marketing communication about veganism were discussed. Specifically, organizations looking to use social media to influence attitudes and behavioral intentions toward health issues should seek to reach their target audiences through selecting endorsers and messages that will optimally present the health issue in a relatable and engaging way.

Journal ArticleDOI
TL;DR: This commentary is making the case for more considered approaches to data governance and data ethics in business following the unprecedented challenges posed by the recent COVID-19 pandemic and suggests possible ways of moving forward from an ethical perspective.
Abstract: The purpose of this commentary is to reflect on the transformative changes organisations experience, in the form of increased use of emergent information and communication technologies (ICTs), as a significant factor in enabling the continuation of normal business practices during the COVID-19 pandemic, and subsequent key ethical considerations in the use of new technology by organisations.,This commentary adopts a reflective approach and is based on a review of theories on diffusion of innovation, dynamic capabilities and data ethics and governance, as well as up-to-date business reports to reflect on the ethical implications of new technologies for organisations.,Organisations from different industries and sectors around the world have experienced major disruptive changes because of the COVID-19 pandemic. Adoption and integration of new ICTs occurred at an accelerated pace in a collective effort to maintain “business as usual”. The use of emergent technologies is not without risks. The commentary argues that, in times of crisis, it is vital that organisations address the growing concerns around privacy and security of personal data by designing effective data governance frameworks that go beyond a mere compliance with existing policies and prevailing data privacy and protection laws to ensure data security and protection for all stakeholders.,This commentary is making the case for more considered approaches to data governance and data ethics in business following the unprecedented challenges posed by the recent COVID-19 pandemic and suggests possible ways of moving forward from an ethical perspective.

Journal ArticleDOI
TL;DR: Results showed that a trustful attitude exerted a stronger influence on the intensity of Facebook use than distrust did, and advanced the relationship management literature and addressed the strategies for future system design and behavioral intervention of misinformation.
Abstract: This study focused on the impact of misinformation on social networking sites. Through theorizing and integrating literature from interdisciplinary fields such as information behavior, communication and relationship management, this study explored how misinformation on Facebook influences users' trust, distrust and intensity of Facebook use.,This study employed quantitative survey research and collected panel data via an online professional survey platform. A total of 661 participants in the USA completed this study, and structural equation modeling (SEM) was used to test the theoretical model using Amos 20.,Based on data from an online questionnaire (N = 661) in the USA, results showed that information trustworthiness and elaboration, users' self-efficacy of detecting misinformation and prescriptive expectancy of the social media platform significantly predicted both trust and distrust toward Facebook, which in turn jointly influenced users' intensity of using this information system.,This study contributes to the growing body of literature on information and relationship management and digital communication from several important aspects. First, this study disclosed the underlying cognitive psychological and social processing of online misinformation and addressed the strategies for future system design and behavioral intervention of misinformation. Second, this study systematically examined both trust and distrust as cognitive and affective dimensions of the human mindsets, encompassed the different components of the online information behavior and enriched one’s understanding of how misinformation affected publics' perceptions of the information system where it appeared. Last but not least, this study advanced the relationship management literature and demonstrated that a trustful attitude exerted a stronger influence on the intensity of Facebook use than distrust did.,The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0130

Journal ArticleDOI
TL;DR: A sentiment analysis program, PeerJudge, to detect praise and criticism in peer evaluations, designed to support editorial management decisions and reviewers in the scholarly publishing process and for grant funding decision workflows is introduced.
Abstract: Peer reviewer evaluations of academic papers are known to be variable in content and overall judgements but are important academic publishing safeguards This article introduces a sentiment analysis program, PeerJudge, to detect praise and criticism in peer evaluations It is designed to support editorial management decisions and reviewers in the scholarly publishing process and for grant funding decision workflows The initial version of PeerJudge is tailored for reviews from F1000Research's open peer review publishing platform,PeerJudge uses a lexical sentiment analysis approach with a human-coded initial sentiment lexicon and machine learning adjustments and additions It was built with an F1000Research development corpus and evaluated on a different F1000Research test corpus using reviewer ratings,PeerJudge can predict F1000Research judgements from negative evaluations in reviewers' comments more accurately than baseline approaches, although not from positive reviewer comments, which seem to be largely unrelated to reviewer decisions Within the F1000Research mode of post-publication peer review, the absence of any detected negative comments is a reliable indicator that an article will be ‘approved’, but the presence of moderately negative comments could lead to either an approved or approved with reservations decision,PeerJudge is the first transparent AI approach to peer review sentiment detection It may be used to identify anomalous reviews with text potentially not matching judgements for individual checks or systematic bias assessments

Journal ArticleDOI
TL;DR: This study is the first empirical study to investigate user adoption of VR devices and services synthetically, as most of prior studies related to VR adoption mainly focused on VR devices or specific services.
Abstract: The purpose of this paper is to develop an integrated research model that can explain current users' continuance intention regarding the adoption of virtual reality (VR).,This study builds a new research model based on the perceived value theory. The model and the hypotheses formulated are tested using partial least squares analysis with 295 respondents.,Both utilitarian value and hedonic value have positive impacts on VR users' continuance intention. Among the four constructs reflecting VR device and service-related attributes, content quality and ease of use have significant impacts on the utilitarian value and hedonic value. Visual attractiveness is positively associated with hedonic value while portability affected only utilitarian value.,To increase users' retention of VR, VR service providers should focus developing high-quality VR content, and VR device manufacturers should consider both ease of use and visual attractiveness of VR devices.,This study is the first empirical study to investigate user adoption of VR devices and services synthetically, as most of prior studies related to VR adoption mainly focused on VR devices or specific services.

Journal ArticleDOI
TL;DR: This study investigates the factors that play key roles in e-government adoption and implementation in AMS that stem from multiple dimensions and leads to a conceptual framework of factors that drive the success of e-Government projects that advances the literature on e- government.
Abstract: This study addresses the critical factors that contribute to the success of e-government programs in the Association of Southeast Asian Nations (ASEAN) member states (AMS). We investigate the factors that play key roles in e-government adoption and implementation in AMS that stem from multiple dimensions.,Our qualitative study on eight ASEAN countries with different political situations and economic developments suggests that in general, institutions (formal and informal institutions), resources, leadership, organizational design and culture values determine the success of e-government.,The provision of adequate information and communication technology infrastructure alone is insufficient to ensure the success of e-government.,Our findings lead to a conceptual framework of factors that drive the success of e-government projects that advances the literature on e-government, particularly the research about e-government in the context of developing countries.,An empirical evidence and in-depth understanding suggest that different factors are associated with detrimental impacts on e-government implementation.

Journal ArticleDOI
TL;DR: This study is among the first to utilize machine learning, instead of manual coding techniques, to automatically unveil the tweets’ topics and reveal financial disclosure tweets; providing a distinction between the roles of executive vs non-executive directors relating to disclosure decisions.
Abstract: The purpose of this paper is to investigate corporate financial disclosure via Twitter among the top listed 350 companies in the UK as well as identify the determinants of the extent of social media usage to disclose financial information.,This study applies an unsupervised machine learning technique, namely, Latent Dirichlet Allocation topic modeling to identify financial disclosure tweets. Panel, Logistic and Generalized Linear Model Regressions are also run to identify the determinants of financial disclosure on Twitter focusing mainly on board characteristics.,Topic modeling results reveal that companies mainly tweet about 12 topics, including financial disclosure, which has a probability of occurrence of about 7 percent. Several board characteristics are found to be associated with the extent of Twitter usage as a financial disclosure platform, among which are board independence, gender diversity and board tenure.,The extensive literature examines disclosure via traditional media and its determinants, yet this paper extends the literature by investigating the relatively new disclosure channel of social media. This study is among the first to utilize machine learning, instead of manual coding techniques, to automatically unveil the tweets’ topics and reveal financial disclosure tweets. It is also among the first to investigate the relationships between several board characteristics and financial disclosure on Twitter; providing a distinction between the roles of executive vs non-executive directors relating to disclosure decisions.

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TL;DR: Providing opinions was found to be the most important criterion, followed by completeness and value-added, which shows the importance of studying the quality of answers on academic social Q&A platforms and reveal unique considerations for the design of such systems.
Abstract: Through a two-stage survey, this paper examines how researchers judge the quality of answers on ResearchGate Q&A, an academic social networking site.,In the first-stage survey, 15 researchers from Library and Information Science (LIS) judged the quality of 157 answers to 15 questions and reported the criteria that they had used. The content of their reports was analyzed, and the results were merged with relevant criteria from the literature to form the second-stage survey questionnaire. This questionnaire was then completed by researchers recognized as accomplished at identifying high-quality LIS answers on ResearchGate Q&A.,Most of the identified quality criteria for academic answers—such as relevance, completeness, and verifiability—have previously been found applicable to generic answers. The authors also found other criteria, such as comprehensiveness, the answerer's scholarship, and value-added. Providing opinions was found to be the most important criterion, followed by completeness and value-added.,The findings here show the importance of studying the quality of answers on academic social Q&A platforms and reveal unique considerations for the design of such systems.

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TL;DR: This study provided detailed instructions on how to increase the engagingness of emergency management official accounts during disasters using computational methods and demonstrated that words for fear and anger were critical in engaging social media discussions in the prodromal stage.
Abstract: Natural disasters are increasingly more frequent and intense, which makes it critical for emergency managers to engage social media users during crises. This study examined emergency official accounts' social media engagement at each disaster stage based on Fink's four-stage model of crisis and disaster: prodromal, acute, chronic and termination stages and linked topics and sentiments to engagement.,Using text mining and sentiment analysis, 1,226 original tweets posted by 66 major emergency official Twitter accounts and more than 15,000 retweets elicited across the life cycle of Hurricane Irma were analyzed.,Results identified the most engaging official accounts and tweets. Most tweets and the most engaging tweets were posted in the prodromal stage. Tweets related to certain topics were significantly more engaging than others. The most frequently tweeted topics by official accounts were less engaging than some seldom tweeted topics. Negative sentiment words increased the engagingness of the tweet. Sadness was the strongest predictor of tweet engagement. Tweets that contained fewer sadness words were more engaging. Fear was stronger in positively predicting tweet engagement than anger. Results also demonstrated that words for fear and anger were critical in engaging social media discussions in the prodromal stage. Words for sadness made the tweets less engaging in the chronic stage.,This study provided detailed instructions on how to increase the engagingness of emergency management official accounts during disasters using computational methods. Findings have practical implications for both emergency managers and crisis researchers.

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TL;DR: Participants' involvement recognition, perception of being collective actors and approval of slacktivism behaviors positively predicted their participation in the online firestorm, whereas non-anonymity hampered it.
Abstract: Social media empower individuals to voice their opinions about issues that they perceive to be unacceptable. When many others add their opinions and large quantities of messages containing negative word-of-mouth suddenly spread online, an online firestorm occurs. By extending the situational theory of problem solving (Kim and Grunig, 2011) into the domain of online communication, this study aims to identify the drivers for participating in online firestorms.,With reference to a fictitious online firestorm trigger (i.e. perceived moral misconduct) posted on Facebook, a qualitative pre-study and quantitative online survey were conducted. Based on the responses of 410 participants, an ordinary least squares regression was modeled to examine the factors of participating in the online firestorm. Later, structural equation modeling was applied to test the model and gauge its fit with the data.,Participants' involvement recognition, perception of being collective actors and approval of slacktivism behaviors positively predicted their participation in the online firestorm, whereas non-anonymity hampered it.,The study's findings not only contribute to the current understandings of online firestorms but are also valuable for developing theory and forms of professional crisis management. Moreover, they offer insights into the factors of online communication environments that encourage users to voice their opinions.

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TL;DR: This study conceptualizes marginality as a multidimensional concept and empirically examines its effect on team collaboration, connecting the literature on crowdsourcing to online collaboration.
Abstract: Existing studies on crowdsourcing have focused on analyzing isolated contributions by individual participants and thus collaboration dynamics among them are under-investigated. The value of implementing crowdsourcing in problem solving lies in the aggregation of wisdom from a crowd. This study examines how marginality affects collaboration in crowdsourcing.,With population level data collected from a global crowdsourcing community (openideo.com), this study applied social network analysis and in particular bipartite exponential random graph modeling (ERGM) to examine how individual level marginality variables (measured as the degree of being located at the margin) affect the team formation in collaboration crowdsourcing.,Significant effects of marginality are attributed to collaboration skills, number of projects won, community tenure and geolocation. Marginality effects remain significant after controlling for individual level and team level attributes. However, marginality alone cannot explain collaboration dynamics. Participants with leadership experience or more winning ideas are also more likely to be selected as team members.,The core contribution this research makes is the conceptualization and definition of marginality as a mechanism in influencing collaborative crowdsourcing. This study conceptualizes marginality as a multidimensional concept and empirically examines its effect on team collaboration, connecting the literature on crowdsourcing to online collaboration.

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TL;DR: A sample of New Zealand (NZ) cultural heritage institutions (CHIs) crowdsourcing platforms were assessed, with the aim of offering insights into how they have been designed to encourage dialogue and engagement and to sustain participation.
Abstract: The purpose of this study is to propose a set of design recommendations for crowdsourcing platforms with a focus on user engagement. A sample of New Zealand (NZ) cultural heritage institutions (CHIs) crowdsourcing platforms were assessed, with the aim of offering insights into how they have been designed to encourage dialogue and engagement and to sustain participation.,The design recommendations were derived from a review of related works. Following this, 12 crowdsourcing projects overseen by libraries, museums and an archive in NZ were assessed against the recommendations through content analysis.,The recommendations were classified into four main categories. These were promote ease of use, attract and sustain user interest, foster a community of users and show users that their work is contributing to the institution and society. The findings indicated that the sample of crowdsourcing projects assessed were generally successful at displaying the credibility and significance of their projects, and promoting their crowdsourced collections. Many of the projects could nevertheless benefit from providing further support to promoting dialogues and engagement with their users and contributors and sustaining offline community interaction.,The content analysis conducted was focused on the functionality of design elements of the crowdsourcing platforms. The design recommendations derived from the analysis were intended as a starting point for discussion and they would need to be validated in further studies. Other relevant project information such as funding and staffing, promotion and outreach efforts were not solicited in this study. Such information could provide important contextualisation. Future research could take the form of in-depth case studies, including surveying those involved in the projects and stakeholders to investigate such contextual aspects of crowdsourcing projects.,Previous research on crowdsourcing in NZ CHIs consisted of single case studies. This study provides a wider snapshot and insights into digital crowdsourcing platforms from public NZ CHIs. The study findings have practical implications for project managers and Web designers involved in crowdsourcing projects, particularly those in the cultural heritage sector.

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TL;DR: The results are as follows: while holding the other variables (such as page count, number of authors, etc.) constant in the model, papers that received neutral PP PRs had no significant differences in citation count when compared to their corresponding control pairs (papers without PPPRs).
Abstract: The purpose of this study is to investigate the relationship of the post-publication peer review (PPPR) polarity of a paper to that paper's citation count.,Papers with PPPRs from Publons.com as the experimental groups were manually matched 1:2 with the related papers without PPPR as the control group, by the same journal, the same issue (volume), the same access status (gold open access or not) and the same document type. None of the papers in the experimental group or control group received any comments or recommendations from ResearchGate, PubPeer or F1000. The polarity of the PPPRs was coded by using content analysis. A negative binomial regression analysis was conducted to examine the data by controlling the characteristics of papers.,The four experimental groups and their corresponding control groups were generated as follows: papers with neutral PPPRs, papers with both negative and positive PPPRs, papers with negative PPPRs and papers with positive PPPRs as well as four corresponding control groups (papers without PPPRs). The results are as follows: while holding the other variables (such as page count, number of authors, etc.) constant in the model, papers that received neutral PPPRs, those that received negative PPPRs and those that received both negative and positive PPPRs had no significant differences in citation count when compared to their corresponding control pairs (papers without PPPRs). Papers that received positive PPPRs had significantly greater citation count than their corresponding control pairs (papers without PPPRs) while holding the other variables (such as page count, number of authors, etc.) constant in the model.,Based on a broader range of PPPR sentiments, by controlling many of the confounding factors (including the characteristics of the papers and the effects of the other PPPR platforms), this study analyzed the relationship of various polarities of PPPRs to citation count.

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TL;DR: Whether Google Maps is being used by users of public libraries in the city of Barcelona (Spain) to share their views on libraries' facilities and services and what perception of the library they transmit is explored.
Abstract: Google Maps is a web platform that allows users to review businesses and services, including libraries. Given the impact of online reviews on the corporate reputation of companies and institutions, it is important to understand how library users disseminate and process reviews on online sites. This study explores whether Google Maps is being used by users of public libraries in the city of Barcelona (Spain) to share their views on libraries' facilities and services and what perception of the library they transmit.,Records corresponding to the 40 public municipal libraries in Barcelona were retrieved from Google Maps. For each library, the average “rating” (a quantitative assessment of the library) and a sample of the ten most recent “reviews” (a text and/or photograph(s) that accompanies the rating) were analysed. Reviews were categorised into eight categories: “children's areas”, “collections”, “location”, “facilities”, “general reviews”, “opening hours”, “staff” and “technology”.,All of the city's 40 public libraries are present in Google Maps and have been reviewed by users, usually with high ratings. The number of replies to users' reviews by library managers is negligible. Reviews with low ratings tend to be longer than those with high ratings. In the reviews, children's areas, collections and library location are given positive ratings. Facilities also receive positive reviews, although to a lesser extent, and two issues receive criticism: noise and lack of seating space for studying. Three aspects of the libraries attract similar numbers of positive and negative reviews: staff, opening hours and technology. The study concludes that Barcelona's public libraries should devote more resources for keeping the information in their profiles updated. They should also monitor users' opinions and create guidelines to offer feedback, especially to negative reviews.,The research is limited by being restricted to a single platform (Google Maps) and a single city (Barcelona). Those writing reviews in Google Maps may not constitute a representative sample of library users. “Local guides”, who tend to award higher ratings than other users, participate in a programme that allows them to earn points that may be exchanged for benefits. Therefore, it is possible that at least some “local guides” publish reviews on public libraries they hardly know (if at all) just to obtain benefits. Similarly, the large number of users commenting on study spaces suggests that young people may be over-represented.,Many studies have analysed transaction data in online library settings, including visits, searches, downloads, etc. but there are no examples of analyses of user-generated content such as texts or photos uploaded to review sites and social media. The results of this study will help to improve the understanding of how library patrons see public libraries and to design effective strategies to respond to and generally manage their suggestions and complaints.,The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2019-0291

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TL;DR: The results confirm that emotions positively affect the evaluation of the experiences, which in turn improves the attitude towards the digital store and contributes to information processing theories in digital context confirming the applicability of ELM into the omnichannel context.
Abstract: Nowadays some consumers consider themselves as “omnichannels” – they combine both physical and digital channels expecting a seamless shopping experience – since they view their shopping process from a multiple-channel viewpoint. Giving that situation, the aim of this paper is to test the role of consumers’ omnichannel tendency (omni-tendency) in the information processing in the digital channel.,Based on the Elaboration Likelihood Model (ELM), emotions as well as utilitarian and hedonic experiences are proposed to understand consumer attitude towards the digital store. Through a survey, data were collected from 284 digital shoppers. PLS path modelling and PLS-MGA were used to test the research hypotheses.,The results confirm that emotions positively affect the evaluation of the experiences, which in turn improves the attitude towards the digital store. Focusing on the differences among consumers, the findings show that for consumers with low omni-tendency the emotions are key to improve the evaluation of their experiences. Moreover, regarding the attitude, consumers with more omni-tendency follow the central route to process the information; and consumers with less omni-tendency follow the peripheral route.,This paper contributes to the literature in three ways. First, this research includes the study of omni-tendency, as a consumer trait, in the information processing developed in the digital channel, ignored in the literature. Second, this work contributes to information processing theories in digital context confirming, specifically the applicability of ELM into the omnichannel context. This offers support to the application of traditional theories to explain new phenomena. Third, and in line with the previous contribution, this work goes a step further in understanding ELM theory by including other constructs –the omni-tendency and emotions– to explain the information processing in the digital context.