{"title":"The digitalization tendency of young adults: differences by living environment, gender and education","authors":"Ilkim Markoc","doi":"10.1108/oir-01-2023-0020","DOIUrl":"https://doi.org/10.1108/oir-01-2023-0020","url":null,"abstract":"PurposeThis study investigates the differences in digitalization tendency levels among young adults (18–30) regarding their living environment, gender, and education.Design/methodology/approachDigital transformation (DT) refers to digital technologies becoming more prevalent in society. This process transforms lifestyles and business models using information and communication technologies. While digital transformation is on everyone’s agenda worldwide, it is still in its infancy. The data collected from 1,067 young adults show that all three control variables, living environment (CV1), gender (CV2), and education level (CV3), have a significant impact on digitalization tendency. Samples are selected using stratified sampling. Frequency distributions of quantitative data, descriptive statistics, ANOVA analysis, independent sample t-tests, reliability and validity analysis are interpreted in SPSS.FindingsIt is concluded from the study that the young adults living in Istanbul are more inclined to use digital technologies and to see the process from the standpoint of its positive results. It is observed that women have a higher digitalization tendency than men. Finally, the tendency to use digital technologies increases with education level, as does the likelihood of perceiving the outputs of these technologies as positive.Research limitations/implicationsThe study limited the sample to young adults aged 18–30.Originality/valueDigitalization tendencies are positively influenced by factors such as living in Istanbul, being a woman, and having a high education level.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2023-0020.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eric Weisz, David M. Herold, Nadine Kathrin Ostern, Ryan Payne, Sebastian Kummer
{"title":"Artificial intelligence (AI) for supply chain collaboration: implications on information sharing and trust","authors":"Eric Weisz, David M. Herold, Nadine Kathrin Ostern, Ryan Payne, Sebastian Kummer","doi":"10.1108/oir-02-2024-0083","DOIUrl":"https://doi.org/10.1108/oir-02-2024-0083","url":null,"abstract":"PurposeManagers and scholars alike claim that artificial intelligence (AI) represents a tool to enhance supply chain collaborations; however, existing research is limited in providing frameworks that categorise to what extent companies can apply AI capabilities and support existing collaborations. In response, this paper clarifies the various implications of AI applications on supply chain collaborations, focusing on the core elements of information sharing and trust. A five-stage AI collaboration framework for supply chains is presented, supporting managers to classify the supply chain collaboration stage in a company’s AI journey.Design/methodology/approachUsing existing literature on AI technology and collaboration and its effects of information sharing and trust, we present two frameworks to clarify (a) the interrelationships between information sharing, trust and AI capabilities and (b) develop a model illustrating five AI application stages how AI can be used for supply chain collaborations.FindingsWe identify various levels of interdependency between trust and AI capabilities and subsequently divide AI collaboration into five stages, namely complementary AI applications, augmentative AI applications, collaborative AI applications, autonomous AI applications and AI applications replacing existing systems.Originality/valueSimilar to the five stages of autonomous driving, the categorisation of AI collaboration along the supply chain into five consecutive stages provides insight into collaborations practices and represents a practical management tool to better understand the utilisation of AI capabilities in a supply chain environment.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finding “fake” in the news: the relationship between social media use, political knowledge, epistemic political efficacy and fake news literacy","authors":"Bingbing Zhang, A. Holton, Homero Gil de Zúñiga","doi":"10.1108/oir-03-2024-0140","DOIUrl":"https://doi.org/10.1108/oir-03-2024-0140","url":null,"abstract":"PurposeIn the past few years, research focusing on misinformation, referred to broadly as fake news, has experienced revived attention. Past studies have focused on explaining the ways in which people correct it online and on social media. However, fewer studies have dealt with the ways in which people are able to identify fake news (i.e. fake news literacy). This study contributes to the latter by theoretically connect people’s general social media use, political knowledge and political epistemic efficacy with individuals’ fake news literacy levels.Design/methodology/approachA diverse and representative two-wave panel survey in the United States was conducted (June 2019 for Wave 1, October 2019 for Wave 2). We performed cross-sectional, lagged and autoregressive regression analyses to examined how social media us, people’s political knowledge and political epistemic efficacy are related to their fake news literacy.FindingsResults suggest that the more people used social media, were politically knowledgeable and considered they were able to find the truth in politics (i.e. epistemic political efficacy), the more likely they were to discern whether the news is fake. Implications of helping media outlets and policy makers be better positioned to provide the public with corrective action mechanisms in the struggle against fake news are discussed.Research limitations/implicationsThe measurement instrument employed in the study relies on subjects’ self-assessment, as opposed to unobtrusive trace (big) digital data, which may not completely capture the nuances of people’s social media news behaviors.Practical implicationsThis study sheds light on how the way people understand politics and gain confidence in finding political truth may be key elements when confronting and discerning fake news. With the help of these results, journalists, media outlets and policymakers may be better positioned to provide citizens with efficient, preemptive and corrective action mechanisms in the struggle against misinformation.Originality/valueRecent literature highlights the importance of literacy education to contest fake news, but little is known about what specific mechanisms would contribute to foster and reinvigorate people’s fake news literacy. This study helps address this gap.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2024-0140","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141656439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating the inception stage in online peer production communities: a comparative study on community building activities, user roles and interaction dynamics","authors":"Hengyi Fu","doi":"10.1108/oir-07-2023-0360","DOIUrl":"https://doi.org/10.1108/oir-07-2023-0360","url":null,"abstract":"PurposeThis exploratory, descriptive study examines the factors that might influence the success or failure of online peer production communities during their inception stage. It focuses on community-building activities, the roles of users and the dynamics of user interaction, aiming to shed light on practices that could contribute to a community's success at the inception stage.Design/methodology/approachBy comparing two Stack Exchange Q&A communities with the same timelines but opposite outcomes during their beta testing phases, the research utilizes quantitative methods to categorize community activities, define user roles via k-means cluster analysis and examine interaction networks using social network analysis.FindingsOur findings suggest the successful Mathematics Q&A community exhibited several distinct practices during its inception, such as the utilization of both external and internal tools, the development of community-specific tutorials and the strategic use of flagging functions for moderation. Eight user roles were discerned, with roles like content editors, metadata curators and gatekeepers being particularly prominent in the successful community. Additionally, a more densely interconnected user network characterized by active participation was observed in the successful community.Originality/valueConcentrating on the inception stage of online communities, this study uncovers insights into the dynamics at play in the early life of peer production environments and provides empirical observations that may assist in shaping strategies for new online communities. It stands out by comparing communities within the same period to understand factors that may influence their early success.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141656153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How do users select the content they share on social media: flow theory perspective","authors":"Tanu Shree","doi":"10.1108/oir-01-2022-0021","DOIUrl":"https://doi.org/10.1108/oir-01-2022-0021","url":null,"abstract":"PurposePaper studies the intervention of FI and TD on the sharing intention on social media (SM) users with different motivations.Design/methodology/approachThe mechanism for different motivations of SM users to influence sharing intention is explored using WarpPLS. The proposed model applies TAM in Hedonic Motivation System context and includes an alternate pathway of flow state.FindingsReciprocal relationship between FI and TD is empirically proven. Insights from the “Motivated Sharing Model for Social Media”(MSMSM) follow that users who use SM for information get immersed, however intention to share is not triggered by it.Practical implicationsThis study emphasizes on the compatibility of content characteristics with the gratifications of the motivations for SM use to achieve virality. Practitioners may use MSMSM to optimize content, so it appeals to the target audience and has a higher probability of being shared.Originality/valueSocial media users carry different motivations and choose to share select content on the overloaded platform. However, the mechanism for different motivations to drive sharing on SM has remained unexplored. Literature highlights flow as the driver of sharing, whilst the findings on the relationship between flow state and sharing intention on SM are inconclusive; some estimate a positively significant relationship, while others find it to be partially or selectively significant. In this study, intervention of the two dimensions of induced flow: namely, focused immersion (FI) and temporal dissociation (TD)—on the sharing intention on SM is examined.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The meta-commerce paradox: exploring consumer non-adoption intentions","authors":"Ahmed Samed Al-Adwan","doi":"10.1108/oir-01-2024-0017","DOIUrl":"https://doi.org/10.1108/oir-01-2024-0017","url":null,"abstract":"PurposeThe primary objective of this study is to explore consumers' non-adoption intentions towards meta-commerce (or metaverse retailing). Utilizing the Innovation Resistance Theory (IRT) as the theoretical foundation, this study investigates the impact of diverse barriers on non-adoption intentions within the meta-commerce context.Design/methodology/approachA total of 356 responses were gathered to test the proposed hypotheses. Structural Equation Modelling (SEM) with SmartPLS 4 software was used to examine these hypotheses.FindingsThe findings of this study show that perceived cyber risk, perceived regulatory uncertainty, perceived switching cost and perceived technical uncertainty are significantly linked to non-adoption intention towards meta-commerce. Furthermore, the study suggests that the moderating influence of technostress on these connections is more pronounced for consumers with high technostress compared to those with low technostress.Originality/valueThis study makes a significant contribution to the current body of literature by providing valuable insights into the fundamental barriers that consumers encounter when contemplating the adoption of meta-commerce. This contribution is particularly noteworthy as it fills a gap in the existing literature, as no prior study has comprehensively examined the primary obstacles that shape consumer intentions towards meta-commerce adoption. This novel perspective offers scholars, businesses and policymakers a foundation for developing strategies to address these barriers effectively.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140686402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What facilitates users’ compliance willingness to health information in online health communities: a subjective norms perspective","authors":"Cuicui Feng, Ming Yi, Min Hu, Fuchuan Mo","doi":"10.1108/oir-09-2023-0461","DOIUrl":"https://doi.org/10.1108/oir-09-2023-0461","url":null,"abstract":"PurposeThe environment in which users acquire medical and health information has changed dramatically, with online health communities (OHCs) emerging as an essential means for accessing health information. It is imperative to comprehend the factors that shape the users' compliance willingness (UCW) to health information in OHCs.Design/methodology/approachThis study adopted the information adoption model (IAM) and theory of planned behavior (TPB) to investigate the influence of argument quality (AQ), source credibility (SC) and subjective norms (SN) on UCW while considering the two types of online health information – mature and emerging treatments. The authors conducted an explanatory-predictive study based on a 2 (treatment types: mature vs. emerging) * 2 (AQ: high vs. low) * 2 (SC: high vs. low) scenario-based experiment, using the partial least squares structural equation modeling (PLS-SEM).FindingsSC positively influences AQ. AQ, SC and SN contribute to information usefulness (IU). These factors positively affect UCW through the mediation of IU. SN were found to improve UCW directly. Moreover, the moderating effect of SC on AQ and IU was more substantial for emerging treatments.Originality/valueThe research model integrates IAM and TPB, considering information types as an additional variable. The approach and findings provide a valuable explanation for UCW to health information in OHCs.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of human behaviour in activist content sharing on social media","authors":"Ekta Sinha","doi":"10.1108/oir-07-2022-0374","DOIUrl":"https://doi.org/10.1108/oir-07-2022-0374","url":null,"abstract":"PurposeSocial media (SM) platforms tempt individuals to communicate their perspectives in real-time, rousing engaging discussions on countless topics. People, besides using these platforms to put up their problems and solutions, also share activist content (AC). This study aims to understand why people participate in activist AC sharing on SM by investigating factors related to planned and unplanned human behaviour.Design/methodology/approachThe study adopted a quantitative approach and administered a close-ended structured questionnaire to gather data from 431 respondents who shared AC on Facebook. The data was analysed using hierarchical regression in SPSS.FindingsThe study found a significant influence of both planned (perceived social gains (PSGs) , altruism and perceived knowledge (PK)) and unplanned (extraversion and impulsiveness) human behaviour on activist content-sharing behaviour on SM. The moderating effect of enculturation and general public opinion (GPO) was also examined.Practical implicationsSharing AC on SM is not like sharing other forms of content such as holiday recommendations – the former can provoke consequences (sometimes undesirable) in some regions. Such content can easily leverage the firehose of deception, maximising the vulnerability of those involved. This work, by relating human behaviour to AC sharing on SM, offers significant insights to enable individuals to manage their shared content and waning probable consequences.Originality/valueThis work combined two opposite constructs of human behaviour: planned and unplanned to explain individual behaviour in a specific context of AC sharing on SM.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140709171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual reality-based online learning system adoption: a research framework and empirical study","authors":"Yi-Ting Wang, Kuan-Yu Lin","doi":"10.1108/oir-05-2022-0307","DOIUrl":"https://doi.org/10.1108/oir-05-2022-0307","url":null,"abstract":"PurposeVirtual reality (VR) offers unprecedented immersion and interactivity in education, and working and learning from home have become the norm during the COVID-19 pandemic. This study empirically investigated the factors affecting the use of a VR online learning system (VROLS).Design/methodology/approachTo explore factors affecting users’ continuance behavioral intentions toward using VROLSs, a research framework was formed comprising factors that constitute benefits (i.e. pull factors) and costs (i.e. push factors); these factors included perceived value, flow and social influence. The data for this study were collected via online survey questionnaires. A total of 307 valid responses were used to examine the hypotheses in the research model, employing structural equation modeling (SEM) techniques.FindingsPerceived value, flow experience and the number of peers using VR primarily affect the decision to adopt a VROLS. The pull factors of spatial presence, entertainment and service compatibility, along with the push factors of complexity and visual fatigue, affect perceived value. Therefore, we conclude that perceived value is a primary factor positively influencing both flow experience and the decision to adopt the service.Originality/valueThis study contributes to a theoretical understanding of factors that explain users’ intention to use VROLSs.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Persuading others in different communication media: appeals to logic, authority and emotion","authors":"Lu Xiao, Sara E. Burke","doi":"10.1108/oir-07-2023-0356","DOIUrl":"https://doi.org/10.1108/oir-07-2023-0356","url":null,"abstract":"PurposeScholars of persuasion have long made a distinction between appeals to logic, emotion and authority- logos, ethos and pathos- but ideas developed to account for live face-to-face conversation processes must also be tested in new media. We aimed to test the effectiveness of these three strategies in one-to-one chats through different communication media.Design/methodology/approachWith a 3 × 3 × 2 between-subject factorial design, we tested these three strategies in one-to-one chats (female–female or male–male pairs) through three communication media: face-to-face, Skype video or Skype text. The persuasion scenario was adapted from prior studies in which students were presented with the idea of requiring a comprehensive exam as part of their degree. The participants were all undergraduate students of a major university in USA.FindingsOur results showed trivial differences between female–female and male–male conditions. The logos appeal worked best overall in persuading the participants to change their reported attitudes. Additionally, the explanations provided by the participants for their own opinions were most like the persuasion scripts in the logos condition compared to the other two appeal conditions. Separately, participants indicated some disapproval of the pathos appeal in the text-based chat condition, although this did not seem to make a difference in terms of actual attitude change.Research limitations/implicationsOne major limitation of our study is that our subjects are college students and therefore are not representative of Internet users in general. Future research should test these three types of persuasion strategies on people of diverse backgrounds. For example, while logos seems to be most effective strategy in persuading college students (at least in our study), pathos or ethos may be more effective when one attempts to persuade people of different backgrounds.Practical implicationsAlthough it is enough for a statistical test, our sample size is still relatively small due to constraints on time, personnel and funding. We also recognize that it is challenging both conceptually and empirically to compare the effectiveness of three persuasion strategies separately.Social implicationsOur findings suggest it is helpful to use fact-checking tools to combat disinformation in cases where users may not have sufficient domain knowledge or may not realize the need to identify or examine the given information. Additionally, it may require more effort to negate the impact of the disinformation spread than correcting the information, as some users may not only believe false information but also may start to reason in ways similar to those presented in the disinformation messages.Originality/valuePast studies on online persuasion have limitedly examined whether and how communication media and persuasion strategies interact in one-to-one persuasion sessions. Our experiment makes an attempt to close this gap by examining the persuasion p","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140738493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}