Search results

As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.

This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.

Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.

Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.

In the context of the digital age, this study aims to investigate the impact of citizens' digital participation on the scientific and democratic decision-making processes of the government. Specifically, the authors focus on the factors influencing citizens' digital participation, with a particular emphasis on their digital skills.

Exploring the influence of citizens' digital skills on their digital participation is of great practical significance for eliminating the digital divide and for promoting a life characterized by enriched digital interactions with the public. This study selected the social consciousness survey database of Chinese netizens in 2017, used ordered Probit and OLS models, and comprehensively used the instrumental variable method (IV), causal stepwise regression method and bootstrap method to empirically verify and construct a mechanism model of the influence of digital skills on citizens' digital participation.

The empirical findings indicate a noteworthy positive association between citizens' proficiency in digital skills and their active engagement in digital activities. This relationship is positively mediated by factors such as political interest and attention to social issues, underscoring their role in encouraging greater digital participation. Conversely, national identity exhibits a counteractive influence on this mechanism, potentially discouraging digital engagement. Notably, the impact of digital skill mastery on digital participation is more pronounced among non-elderly individuals and those residing in metropolitan areas, highlighting the significance of demographic characteristics in this context.

These research results can help the government and other organizations make better decisions and facilitate improvement of citizens' digital participation by promoting their mastery of digital skills.

Integrating institutional logic theory with institutional configurational perspective, this study proposes a theoretical framework to explore the configurational effect of multiple institutional logics, including state, market, and social logics, on social entrepreneurship (SE) participation.

Using data from the Global Entrepreneurship Monitor (GEM) survey combined with other international databases, this study applies a fuzzy-set qualitative comparative analysis (fsQCA) to identify the pathways that how state, market and social logics jointly promote or hinder high SE prevalence among 38 developing countries.

Results show that high SE prevalence rates are achieved through the interaction of multiple institutional logics rather than by any single factor and identify three institutional configuration pathways leading to high SE participation. Further, the pathways impeding high SE participation are not simply the negation of conditions that lead to high SE prevalence.

This study not only extends the institutional logics perspective to SE, enriching the growing research stream on how institutional complexity shapes entrepreneurial activities globally, but also underscores the significance of asymmetric institutional conditions in determining the presence and absence of high SE prevalence. These results have implications for policymakers to improve entrepreneurial institutional configurations that foster social entrepreneurial activities.

Compared with conventional statistical methods, which have limited effectiveness in exploring the synergies of multiple factors, the fsQCA method offers a more robust analysis of the causal complexity of institutional logics promoting or discouraging SE participation.

The rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study investigates the factors influencing designers' behavioral intention to use and disclose the use of generative artificial intelligence.

A quantitative research approach was employed, designing a structured questionnaire based on Self-Determination Theory to assess the impact of various psychological and social dimensions. The questionnaire included dimensions such as autonomy, competence, relatedness, social influence, value fit and social innovativeness. A Partial Least Squares Structural Equation Modeling analysis was conducted on 309 valid responses from diverse design fields.

Competence and relatedness are significant factors influencing designers' continuance intention to use generative artificial intelligence. Although autonomy does not significantly affect continuance intention, it plays a crucial role in the decision to disclose artificial intelligence participation. Social influence and value fit significantly shape autonomy, competence and relatedness, while the impact of social innovativeness is relatively limited.

This study clarifies the factors influencing designers' continuance intention and disclosure of generative artificial intelligence tools from both individual and social dimensions, enhancing the understanding of the relationship between designers and generative artificial intelligence tools. It provides valuable insights for the development of artificial intelligence technology and the future trends in the design industry, offering significant theoretical and practical value.

Integrating and advancing social sustainability is foundational to achieving the urban sustainable development goals. Given the rapid transformation of cities in the Mediterranean region, this study sought to assess residents' evaluation of social sustainability in two socio-spatially diverse neighbourhoods of metropolitan Istanbul.

A questionnaire survey, adapted from an empirically well-tested and robust social sustainability framework, was used to collect data from 197 residents from Balat and Rasimpasa neighbourhoods in Metropolitan Istanbul. The study then employed quantitative analytical techniques such as independent sample t-tests and Pearson correlation to analyse the sample data.

In both neighbourhoods, accessibility and participation were ranked the highest and lowest dimensions of social sustainability, respectively. However, the t-test analysis revealed a statistically significant difference between the two neighbourhoods regarding social networking and interaction, safety and security and participation. The differences align with emerging studies on urban social sustainability in the Mediterranean and European cities that when considered from urban spatial contexts, significant differences emerge from a social network and safety perspective.

Our study invites urban planners and policy makers attention to and emphasise on lowly evaluated social sustainability dimensions such as participation in their efforts to promote sustainable urban development at the neighbourhood level. We reason that opening the decision-making process to include diverse voices and experiences of residents through participatory workshops might offer opportunities for context-specific, citizen-led urban planning and design strategies that are socially sustainable.

Previous studies have not fully accounted for how various socio-spatial contexts at the neighbourhood level shape differential evaluation of social sustainability. This paper extends the emerging work on urban social sustainability by situating residents’ evaluation of social sustainability indicators across two unique neighbourhoods with gridded and organic spatial characteristics in Istanbul. This paper is an important addition to ongoing work on how spatial organisation of neighbourhoods can influence experiences of social sustainability from an urban planning and design perspective.

This study aims to investigate the impact of online collective feminist actions on social media participation and the perceived value of social media as part of the social identity model of collective action (SIMCA).

A mixed methodology is used. Within the SIMCA model in the context of feminist collective actions, social identity, group-efficacy and fear predicted the intention of online collective action participation in the first part (quantitative) of the study. Contrary to predictions, the influence of anger on the intention to participate in collective action was negative. In-depth interviews are conducted in the study’s second (qualitative) part to investigate why individuals do not participate in collective actions despite their anger at violence against women.

The concept of online feminist collective action, from the perspective of the SIMCA model, deals with violence against women in the context of social marketing, revealing the importance of online collective actions as an antecedent of social media participation and the perceived value of social media. The possible causes of the negative impact of anger, which is an important emotion within the framework of the SIMCA model, on online feminist collective action were determined, and a contribution was made to the social marketing literature in the context of women’s rights.

The study makes three major contributions to the literature. First, women’s rights are addressed in the context of online collective action, an issue that has received little attention in social marketing. Second, in the context of the social identity theory of collective action, online collective feminist action and its predecessors are addressed. Finally, the Turkish case is used to highlight the probable causes of anger’s negative impact on collective action.

The purpose of this conceptual paper is to describe how the affinity space concept has been used to frame learning via social media, and call for and discuss a refresh of the affinity space concept to accommodate changes in social media platforms and algorithms.

Guided by a sociocultural perspective, this paper reviews and discusses some ways the affinity space concept has been used to frame studies across various contexts, its benefits and disadvantages and how it has already evolved. It then calls for and describes a refresh of the affinity space concept.

Although conceptualized 20 years ago, the affinity space concept remains relevant to understanding social media use for learning. However, a refresh is needed to accommodate how platforms have changed, algorithms’ evolving role in social media participation and how these technologies influence users’ interactions and experiences. This paper offers three perspectives to expand the affinity space concept’s usefulness in an increasingly platformized and algorithmically mediated world.

This paper underscores the importance of algorithmic literacy for learners and educators, as well as regulations and guidance for social media platforms.

This conceptual paper revisits and updates a widely utilized conceptual framing with consideration for how social media platform design and algorithms impact interactions and shape user experiences.

This paper aims to examine how technological media accelerates sustainable development. Further, the mediating role of good governance and society empowerment would be investigated.

A questionnaire survey was conducted among 450 students at the level of higher education using stratified sampling plan. Following a two-step approach, a measurement model was estimated and then a structural model was analyzed to evaluate five proposed hypotheses.

The research results indicate that technological media has a direct and positive effect on good governance, empowerment and sustainable development; technological media has an indirect and positive influence on sustainable development via good governance and empowerment as mediating variables; good governance and empowerment are significant antecedents of sustainable development.

The research examines the relationship among technological media, good governance, empowerment and sustainable development, thus contributing to sustainable development literature theoretically. In addition, relevant implications are provided for policymakers as to how to accelerate development sustainably across their countries.

This paper comprehensively investigates the lack of youth involvement in the intricate tapestry of urban policymaking in the Jordanian context. It attempts to present and illustrate the obstacles, challenges, hindrances and complexities facing engaging youth in urban planning in Jordan. Participants aged 18–24 were the primary focus of the investigation, as Jordan's population is predominantly youthful, with approximately 70% of the population under the age of 30.

The research methodology adopted in this study is a mixed-methods approach, which integrates both qualitative and quantitative data collection and analytical techniques to provide a comprehensive and nuanced understanding of the research problem.

Youth involvement in Jordan's urban policymaking is limited and inconsistent. Most notably, the prevalence of adultism emerges as the predominant and most substantive impediment, exerting a considerable influence on constraining the agency of young Jordanians in shaping urban policy.

Detailed examples can be developed to offer discerning elucidations relevant to each frame of reference.

A total of 12 discernible barriers emerged from a systematic deductive thematic analysis of primary data.

This comprehensive inquiry highlights the pervasive gaps in support for youth participation in urban policymaking within the administrative framework and across Jordanian society. Subsequent quantitative analysis was employed to strengthen the external validity of the research findings, thereby enhancing the generalizability of the qualitative insights. By employing Jordan as a case study, this paper significantly contributes to the expanding corpus of scholarly work on planning processes and practices within the Global South and the Arab world.

The purpose of this study is to explore and prioritize the factors that determine the social insurance contribution of unorganized workers.

A two-stage procedure was adopted to recognize and prioritize factors influencing the social insurance participation of unorganized workers: first, crucial factors influencing unorganized workers’ contribution towards social insurance were identified by employing exploratory factor analysis, and in the second phase, the fuzzy analytical hierarchal process was applied to rank the specified criteria and then sub-criteria by assigning weights.

Four broad factors were identified, namely, economic, political, operational and socio-psychological, that significantly influence unorganized workers’ contribution towards social insurance. Later findings revealed that the prime influencer of unorganized workers’ contribution is employment contracts followed by average earnings, delivery of quality services, eligibility and accessibility.

The research findings are feasible as the basic propositions are based on real-world scenario. The identification and ranking of factors have the potential to be used as a checklist for policymakers when designing pension and social insurance for unorganized workers. If it is not possible to consider all, the criteria and sub-criteria assigned upper rank can be given priority to extend pension coverage for a large group of working poor.

The key factors driving social insurance contributions have been highlighted by studying the stakeholders’ perceptions at a micro level. By comprehending the challenges, there is a possibility of covering a large section of the working poor into social insurance coverage.

This paper is believed to be one of its kinds to acknowledge a combination of factors that determine the contribution of unorganized workers to social insurance. This study is an empirical investigation to prioritize the essential drivers of social insurance participation by low-income cohorts in the context of emerging countries. The present approach of employing fuzzy logic has also very limited use in social insurance literature yet.