Search results

The paper positions social and technological innovation as pivotal counterforces to conservative resistance against change, particularly in light of the recurrent economic and technological upheavals characterizing the present shape of capitalism.

The research adopts a qualitative methodology, rooted in a comparative case study approach, offering a critical retrospective analysis of societal disruptions and transformations. Central to this methodological framework is the construct of sensemaking, which is characterized as the process by which collective entities retrospectively develop plausible narratives that rationalize their experiences. The approach is informed by the dynamics of socio-ecological systems, which are understood to undergo cyclical phases of growth, stabilization, collapse, and regeneration.

The study shows evidence that resilience and adaptability are more authentically gauged by socio-technological responses to cyclical disruptions and recoveries. It delineates sensemaking as a crucial socioecological mechanism through which elicitation emerges and societies and organizations navigate these cycles, forging shared narratives from collective experiences that are driven by plausibility rather than mere accuracy.

The research calls for the development of policies that synthesize disruptive innovations with strategies for social cohesion. Such policies must ensure the protection of the socioeconomic texture from implicit structural precariousness arising from innovation. The ability to integrate and institutionalize change is emphasized as crucial, demanding a synergy between innovative creativity, new normative frameworks, and the preservation of fundamental societal values.

The paper challenges reductionist technological interpretations of societal changes, advocating for a holistic perspective that accounts for the redistributive and elicitation roles as vital to the evolution of socio-economic systems. The value of this research lies in its comprehensive framing of these transformations, underscoring the importance of a multi-faceted understanding in the effective management of socioeconomic change.

Community question answering (CQA) platforms play a significant role in knowledge dissemination and information retrieval. Expert recommendation can assist users by helping them find valuable answers efficiently. Existing works mainly use content and user behavioural features for expert recommendation, and fail to effectively leverage the correlation across multi-dimensional features.

To address the above issue, this work proposes a multi-dimensional feature fusion-based method for expert recommendation, aiming to integrate features of question–answerer pairs from three dimensions, including network features, content features and user behaviour features. Specifically, network features are extracted by first learning user and tag representations using network representation learning methods and then calculating questioner–answerer similarities and answerer–tag similarities. Secondly, content features are extracted from textual contents of questions and answerer generated contents using text representation models. Thirdly, user behaviour features are extracted from user actions observed in CQA platforms, such as following and likes. Finally, given a question–answerer pair, the three dimensional features are fused and used to predict the probability of the candidate expert answering the given question.

The proposed method is evaluated on a data set collected from a publicly available CQA platform. Results show that the proposed method is effective compared with baseline methods. Ablation study shows that network features is the most important dimensional features among all three dimensional features.

This work identifies three dimensional features for expert recommendation in CQA platforms and conducts a comprehensive investigation into the importance of features for the performance of expert recommendation. The results suggest that network features are the most important features among three-dimensional features, which indicates that the performance of expert recommendation in CQA platforms is likely to get improved by further mining network features using advanced techniques, such as graph neural networks. One broader implication is that it is always important to include multi-dimensional features for expert recommendation and conduct systematic investigation to identify the most important features for finding directions for improvement.

This work proposes three-dimensional features given that existing works mostly focus on one or two-dimensional features and demonstrate the effectiveness of the newly proposed features.

This study examines the role of crowd wisdom in misinformation correction. Going beyond fact-checking, we investigate the mechanisms underlying laypeople’s participation in misinformation correction. Drawing upon the Norm Activation Model (NAM), this study conceptualizes misinformation correction as a prosocial behavior and examines the impact of various media and social psychological factors on laypeople’s motivations to engage misinformation correction behavior.

Through a national survey of 1,022 respondents, we explore the norm activation process triggered by the perceived prevalence of online misinformation, which directly and indirectly impacts online misinformation correction intentions via awareness, norms, and efficacy. This mechanism was tested using structural equation modeling.

This study found that perceived prevalence of misinformation, self-efficacy, and outcome efficacy play multilayered roles in shaping misinformation correction intentions. The effects were mediated by the activation of personal norms, which showed the strongest direct relationship with correction intentions. However, these factors also demonstrated direct associations with correction intentions, indicating multiple paths in misinformation correction.

Differing from mainstream fact-checking approaches, this study provides a more comprehensive examination of the mechanisms underlying laypeople’s willingness to engage in social media misinformation correction behaviors. In addition, this study also extends NAM by incorporating media environment (perceived prevalence of online misinformation) into the model, identifying more paths affecting misinformation correction behaviors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2023-0437

This study aims to develop a proprietary indicator to measure the digital presence of the institutions: the digital presence index.

This research delves into how nonprofit institutions, specifically business interest associations (BIAs), have developed their internet presence by applying essential digital marketing techniques. To this end, and using big data mining tools, this study analyzes the tracking by internet users of 102 BIAs, with their respective websites in 36 countries in Europe and the USA. In addition, the presence and activity of the institutions included in this study on social networks are considered.

This research serves as a basis for discussing the current gap between social reality and the digitalization of institutions. In this sense, conclusions are drawn on the importance of managerial profiles in decision-making on digitization and the necessary knowledge that, together with Web and social network managers, they must have to articulate the means and techniques that promote the internet presence of the organizations they manage.

Conclusions are drawn according to the geographical scope of the BIAs, and an argument is made about the difficulties of connection and loss of prominence of this type of institutions among their different target audiences, especially among the youngest and most digitized.

The article aims at analyzing the social representations of retirement in two different groups of professors – pre-retired and retired – from a public higher education institution. The goal is to explore the experiences, reflections, beliefs, and attitudes originated from the transition to retirement.

The research, of exploratory and descriptive nature, was guided by the Social Representation Theory (SRT) and took a qualitative approach. 16 professors were interviewed, 8 in each group (pre-retired and retired professors), using semi-structured interviews that followed a script designed to discover the main aspects of the transition to retirement.

Three figurative cores were raised – the financial aspect, the centrality of work, and the will to continue contributing, and the unpreparedness for retirement – and testimonies have shown heterogeneous representations. The study observed that although relevant, the bonus for continued services is not the main determinant for professors to continue working in the university.

The results of this study indicate the need to treat retirement as a complex and multidimensional process, offering a fresh perspective on the social representations of retirement in the academic context. The use of the Social Representation Theory to explore these perspectives adds to the originality of the approach, highlighting the multifaceted nature of the retirement process in this specific professional group.

This study examines how users' multidimensional representational fidelity factors affect sociability and cyberself engagement in the Metaverse platform; that is, how they interact with newly defined self-images as their personas in the environments. It investigates how representational fidelity serves platform users to perform social roles and increase their sociability by establishing a new cyberself, thus influencing continuous platform use.

This study surveyed 314 users of the Metaverse platform Horizon, where users can create a virtual agent avatar, meet people in the same online environment in real time, and interact with a sense of three-dimensional immersion. Data were analyzed using partial least squares regression models.

User socialization significantly influenced the intention to use the Metaverse platform. Representational fidelity was a crucial variable for sociability, and activity representational fidelity was the most influential aspect among the four other elements. Platforms should consider how to enable users to create and use activities that faithfully represent their personas.

The novelty of this study is that it introduces representational fidelity based on representation theory into the context of virtual persona in the Metaverse platform. This study extended representational fidelity to the socialization perspective by utilizing the integrated model of user satisfaction and the technology acceptance model. Through the results, this study emphasized that users' sociability significantly influences their intention to use the Metaverse platform. Finally, this study provides a feasible guideline on how practitioners could design and strengthen their platforms so that users can represent their cyberselves faithfully.

This paper aims to explore how recently designed and built urban public spaces in Estonia address the concept of age-friendly environments and consider older adults as users of these spaces. This paper presents the evaluation of public spaces built as a result of urban design competitions in ten small towns of Estonia from 2014 until today.

This study explored and assessed how contemporary urban outdoor places meet the needs of older adults. For this purpose, this study developed an assessment instrument of age-friendly environment principles based on various sources and conducted fieldworks.

This study assumed that the needs of older adults were considered during the design competition and construction, as all towns of competition areas have a significant aging population. The findings suggest that various fundamental principles of universal or age-friendly design are not met, and there are areas of improvement in the inclusive design for all people that supports healthy aging.

This study can be used as improvement tool for current places in Estonia and basis for future design projects to make public places more age-friendly, specifically senior-friendly.

This paper aims to challenge the notion that “having-less” – limiting consumption of scarce resources to a select few – represents a social responsibility route toward guilt reduction. It rather argues that “saving-more” – the purposeful pursuit of conscious and collaborative consumption – captures consumers’ true representations of responsible luxury which in turn reduces anticipated guilt.

Six experiments using different operationalizations of saving-more (vs. having-less) and a mix of fictitious and real luxury brands were conducted on real luxury buyers.

The findings demonstrate that saving-more (vs. having-less) leads to a stronger purchase intention; an effect explained by a higher responsible luxury perception and lower anticipated guilt associated with saving-more (vs. having-less). Furthermore, the ability of saving-more (vs. having-less) in building responsible luxury perception and reducing anticipated guilt is stronger (vs. weaker) when luxury is distributed based on deservingness (vs. entitlement).

This research proposes a novel distinction between two responsible luxury approaches: promoting limited consumption for business goals, that is, having-less and promoting conscious consumption for societal goals, that is, saving-more.

Brand managers can enhance responsible luxury perception and reduce consumer guilt through corporate communication, product communication and collaborative product accessibility modes. Managers must also convince consumers that their access to luxury is based on real achievements.

This study empirically invalidates the notion that merely invoking scarcity and rarity tactics is an expression of social responsibility. It integrates social responsibility and fairness accounts of guilt into a coherent theory of guilt over luxury consumption.

The purpose of this paper is to explore the impact of media representation on the mental health of Australians of African descent during the COVID-19 pandemic. By analysing the media coverage of COVID-19 restriction breaches, particularly focusing on individuals from African backgrounds, the study aims to shed light on how racially charged narratives can contribute to emotional distress and exacerbate feelings of alienation within these communities. The findings highlight the detrimental effects of such portrayals, emphasising the need for more responsible and inclusive media reporting to safeguard the mental well-being of culturally and linguistically diverse populations.

The study employed media content analysis to explore representations of Australians of African origin versus the broader Anglo–Australian population during the COVID-19 pandemic, focusing on racial identity’s impact on news coverage of COVID-19 restriction breaches. Researchers classified and distilled extensive textual content, using a diverse sample from various ethnic-racial backgrounds, with an emphasis on African Australians within the CALD community. Data analysis was conducted using NVivo (version 12) software, following an inductive approach.

The findings underscore the consistent portrayal of people from African communities as outsiders and the racial profiling they experience in media coverage of significant issues like COVID-19.

There is very limited research that examines the impact of media coverage on African migrants during the COVID-19 pandemic.

LinkedIn, as a professional networking platform, plays a crucial role in connecting professionals globally and facilitating their professional growth. This study aims to analyse the perceptions of architects and designers regarding the utilisation of LinkedIn for career development.

The research focuses on gathering professional perceptions and opinions through a qualitative analysis of primary data. A semi-structured interview approach was used for data collection. The study selected 12 actively engaged professionals from the architecture and design industry in Perth, Western Australia, who actively use LinkedIn.

The study's findings reveal diverse opinions and experiences among professionals in the architecture and design industry regarding LinkedIn. It identifies several positive impacts of LinkedIn on the Australian architecture and design industry. Architects and designers recognise the potential benefits of LinkedIn in expanding their professional networks, showcasing their work, accessing learning opportunities and contributing to industry outcomes. They also appreciate the platform's ability to connect them with peers, clients, suppliers and industry, fostering knowledge sharing and collaboration in the evolving work environment.

This study contributes to the existing literature by extending the understanding of the importance of self-presentation on LinkedIn, identifying factors influencing career goal achievement and highlighting the role of professional connections on social media. It establishes connections between 21st-century online innovations and their practical applications within the relevant context.