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This 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.

By 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.

Our 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.

Concentrating 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.

This study aims to explore the experiences of peers working in a range of roles within a single NHS mental health service. This study also aims to provide evidence of the impact of existing support, organisational structure and culture around peer working and provide recommendations for a Good Practice Guide for Peer Working. Peer roles require lived experience of mental health conditions and/or services. While the impact on them of using their own lived experience is not fully understood, anecdotal evidence suggests that peer workers may experience a greater emotional impact than other mental health workers. Burnout and retention are particular concerns.

This was a two-stage study using focus groups and reflexive thematic analysis in Stage 1. The key themes formed the basis of the Stage 2 workshop, which provided recommendations for a Good Practice Guide. The study team consisted of peer researchers with lived experience, supported by a Lived Experience Advisory Panel.

There is a perceived lack of support and an increased peer burden for peer workers. Recommendations included relevant ongoing training and development; support and supervision; and organisational cultural change.

Working within a peer-led co-production framework, this study contributes to the development of the evidence base for peer emotional labour. Based on the findings, a Good Practice Guide for Peer Working is being developed to promote good practice for the development of future peer worker roles.

Users' knowledge contribution behaviors are critical for online Q&A communities to thrive. Well-organized question threads in online Q&A communities enable users to clearly read existing answers and their evaluations before contributing. Based on the social comparison and peer influence literature, the authors examine peer influence on the informativeness of knowledge contributions in competitive settings. The authors also consider three levels of moderating factors concerning individuals' perception of competitiveness: question level, thread level and contributor level.

The authors collected data from one of the largest online Q&A communities in China. The hypotheses were validated using hierarchical linear models with cross-classified random effects. The generalized propensity score weighting method was employed for the robustness check.

The authors demonstrate the peer influence due to social comparison concerns among knowledge contribution behaviors in the same question thread. If more prior knowledge contributors choose to contribute long answers in the question thread, the subsequent contributions are more informative. This peer influence is stronger for factual questions and questions with higher popularity of answering but weaker in recommendation-type and well-answered questions and for contributors with higher social status.

This research provides a new cue of peer influence on online UGC contributions in competitive settings initiated by social comparison concerns. Additionally, the authors identify three levels of moderating factors (question level, thread level and contributor level) that are specific to online Q&A settings and are related to a contributor's perception of competitiveness, which affect the direct effect of peer influence on knowledge contributions. Rather than focus on motivation and quality evaluation, the authors concentrate on the specific content of online knowledge contributions. Peer influence here is not based on an actual acquaintance or a following relationship but on answering the same question. The authors also illustrate the competitive peer influence in subjective and personalized behaviors in online UGC communities.

This paper aims to highlight the role of the CEO’s background in the stock market reaction to a product recall. Based on the upper echelons theory and the crisis management literature, we argue that the CEO’s background influences the expected response in a product harm crisis and the updating of investors’ expectations following a product recall announcement. We test if the CEO’s background influences the abnormal stock market returns around product recalls and how it affects the way investors interpret the recall strategy and severity.

We use an event study, for a sample of 2,576 product recalls in the US automobile industry, between January 2010 and June 2021.

We observe that the stock market’s reaction is less negative if the firm’s CEO presents a core specialist background and for firms led by insider CEOs. This result is in line with our argument that in the presence of a crisis that requires operational and firm-specific knowledge, such as product recalls, the best alignment in terms of the CEO’s background occurs when the CEO was recruited inside and is a core specialist. Finally, we also find that the CEO’s background has a moderating effect on the impact of the recall strategy and severity on the stock market reaction to a recall announcement. In particular, a recall with high severity has a more negative stock market reaction when the CEO is a core specialist as such an event is not expected by the market.

These results have important implications for practitioners and scholars working in the areas of product quality and corporate governance. Given the high frequency and high costs for firms to carry out these operations in the automobile industry, we recommend a careful analysis of the CEO’s background before their appointment as well as careful planning to prevent and to adequately react appropriately to product quality problems. While there is a common tendency among executives to cut discretionary expenditures such as spending on product safety, our results regarding the stock market reaction to product recall announcements suggest that investors expect firms led by insider and core specialist CEOs to be more likely to ensure product quality and to respond to product quality crisis.

We extend knowledge of product recalls by studying the role of the CEO’s background on the stock market reaction to product recall announcements.

The study aims to add to the body of knowledge of open source tangible product management (also called open design). The objective is also to develop a guideline for efficient open source tangible product development and adoption.

The exploratory research design using secondary data (like newspapers, magazines, research articles, bogs, papers, etc.) is used to analyze open source tangible product design challenges and enablers. The success stories of Open Source Software projects (OSS) were studied for identification of critical success factors and further their relevancy was tested in the two popular cases of open source drug discovery (malaria and tuberculosis)

Open innovation has become a part of competitive strategy of current businesses. It requires an efficient intellectual property protection regime for its implementation. However, in a market dominated by proprietary benefits, the open source technology development can serve as remedy for innovation needs of neglected sectors. The OSS literature revealed managing two classes of factors, namely technology sponsor level factors and environmental factors for efficiency and effectiveness. The case study analysis in the context of applicability of these OSS critical factors showed their limitations in open source tangible products, and highlighted understanding additional challenges and remedies.

Open source innovation is a collaborative effort involving inputs from various/diverse players, hence monitoring the effort and motivation level of the contributors is a cumbersome task. Only the information that is available online and in print media is taken as research inputs in this work. Also the data taken were from two case studies; a lot more case studies in the open design domain can progress the theory. The implications of this study are far-reaching in the areas where profit motivated proprietary efforts lack in addressing societal need. It provides guidelines for addressing those unmet needs by developing products in a collaborative way without intellectual property hurdles.

The essence of open design is becoming more vital, and there is a pressing need to build theory to support it, which still is elusive and dispersed. The study fills the gap using secondary data and case study approach.

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.

The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.

Using a sample of about 323 Italian companies and 423 managers from July 2020–March 2021, the work tests hypotheses on reliability of The Open MOOd Questionnaire. Data collected are analyzed by a psychometric model and a latent trait is found. Results are verified and validated. Moreover, external robustness is assured by comparing the Rasch Analysis results with other statistical methods.

The purpose of this paper is to measure the level of openness of managers through the Open MOOd Questionnaire. Which aspects allow us to identify different management styles, and if the “openness” characterizes specific clusters of managers.

The study shows that the openness attitude in the professional activity of the managers is very high. The Open MOOd Questionnaire can be improved by considering some dichotomic items.

The study highlights the model proposed identifies the Open Manager’s competencies, and identifies teaching methods for their development.

The authors propose a new model to study openness. Diagnostic tools of consolidated statistical methods show that the Open MOOd Questionnaire is an effective tool to evaluate the openness.

Going beyond the traditional approach of formal and informal institutions as antecedents of entrepreneurship (directly) and development (indirectly), this paper seeks to explore knowledge institutions as a necessary input for entrepreneurship and the development of societies.

Institutional economics lenses are utilized to observe other factors (e.g. the number of R&D staff and researchers from the public sector) that involve laws and socialization processes, which at the same time create knowledge useful for entrepreneurs and society. These ideas are tested through a sample of 281 observations from 17 autonomous communities and two autonomous cities in Spain. The information coming from the Global Entrepreneurship Monitor (GEM), Ministry of Economics, Industry, and Competitiveness, and INE (Instituto Nacional de Estadística), was analyzed through 3SLS, which is useful for a simultaneous equation strategy.

Knowledge institutions such as the number of R&D staff and researchers from the public sector are found positively associated with entrepreneurship, which is a factor directly and positively linked to economic development across Spanish regions.

The findings help the operationalization of other institutions considered in institutional economics theory and its application to entrepreneurship research. Moreover, the results bring new insights into the knowledge spillover theory of entrepreneurship in the public sector, in which the institutional analysis is implicit.

The paper addresses the issue of change in Wikidata ontology by exposing the role of the socio-epistemic processes that take place inside the infrastructure. The subject of the study was the process of extending the Wikidata ontology with a new property as an example of the interplay between the social and technical components of the Wikidata infrastructure.

In this study, an interpretative approach to the evolution of the Wikidata ontology was used. The interpretation framework was a process-centric approach to changes in the Wikidata ontology. The extension of the Wikidata ontology with a new property was considered a socio-epistemic process where multiple agents interact for epistemic purposes. The decomposition of this process into three stages (initiation, knowledge work and closure) allowed us to reveal the role of the institutional structure of Wikidata in the evolution of its ontology.

This study has shown that the modification of the Wikidata ontology is an institutionalized process where community-accepted regulations and practices must be applied. These regulations come from the institutional structure of the Wikidata community, which sets the normative patterns for both the process and social roles and responsibilities of the involved agents.

The results of this study enhance our understanding of the evolution of the collaboratively developed Wikidata ontology by exposing the role of socio-epistemic processes, division of labor and normative patterns.