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The purpose of this research is to examine the impact of crowdsourcing-based social connections on the development of innovation competence (IC). The conflicting results in existing studies regarding the influence of crowdsourcing-based social linkage on IC necessitate a thorough investigation into this relationship.

The research uses a sample of 300 senior managers from various industries in India. The data is analyzed using partial least squares (PLS), a component-based approach to structural equation modeling.

The results of the analysis indicate that knowledge transfer effectiveness and absorptive capacity (ABC) play a significant role as mediators in the relationship between social linkages based on crowdsourcing and IC. This suggests that the effectiveness of knowledge transfer and the organization’s ability to absorb and apply new knowledge are crucial factors in leveraging crowdsourcing-based social connections for enhanced innovation capabilities.

The findings of this study hold crucial implications for managerial practices. The research highlights that successful crowdsourcing outcomes necessitate more than mere establishment of external social linkages. Managers must recognize that internal organizational readiness plays an equally critical role. This study offers two key managerial insights: first, exclusive focus on external linkages is inadequate; internal capabilities such as ABC and optimized knowledge transfer processes must be actively nurtured. Second, the concept of “crowdsourcing maturity” is introduced, emphasizing the evolving dynamic capabilities over time. Managers are urged to adopt a balanced approach, aligning external partnerships with internal adaptability, to fully optimize IC.

This research contributes to the existing body of knowledge by shedding light on the mediating variables that influence the conversion of crowdsourcing-based social linkage into improved IC. By considering the role of knowledge transfer effectiveness and ABC, the study provides insights into the mechanisms through which social linkages based on crowdsourcing can impact innovation capabilities. These findings offer valuable implications for organizations seeking to leverage crowdsourcing for innovation purposes and enhance their overall IC.

This research paper aims to provide a comprehensive overview of the determinants influencing organisations decisions to adopt crowdsourcing. By synthesising existing literature, it seeks to identify critical factors that act as enablers or inhibitors in the adoption process and propose a framework for understanding crowdsourcing adoption within organisational contexts.

This study employed a systematic literature review methodology to examine the determinants influencing organisations' decisions to adopt crowdsourcing. The review encompassed research articles from the Web of Science and Scopus databases, spanning 2006 to 2021. Additionally, morphological analysis was conducted to categorise the identified determinants into three distinct contexts: technological, organisational and environmental. This methodological approach facilitated a comprehensive exploration of the factors shaping crowdsourcing adoption within organisational settings, allowing for a nuanced understanding of the phenomenon across different dimensions.

The study identifies 12 determinants influencing crowdsourcing adoption, categorised into technological, organisational and environmental dimensions. These determinants include technological compatibility, organisational readiness, top management support, crowd readiness and availability of third-party platforms. While some determinants primarily act as enablers, others exhibit dual roles or serve as inhibitors depending on contextual factors.

The findings offer valuable insights for scholars, practitioners, and organisational leaders seeking to leverage crowdsourcing as a strategic tool for innovation and competitiveness. The assessment scale of drivers and barriers developed in this research offers a systematic approach for evaluating the factors influencing crowdsourcing adoption, providing a nuanced understanding of innovation adoption dynamics. Theoretical implications include advancements in morphological analysis methodology and a nuanced understanding of innovation adoption dynamics. Managerial implications highlight strategies for enhancing organisational readiness, leveraging leadership support and mitigating adoption risks. Overall, the study provides a foundation for future empirical research and practical guidance for organisations planning to adopt crowdsourcing initiatives.

This research contributes significantly to crowdsourcing by presenting an integrated and theoretically grounded framework. By consolidating adoption determinants from diverse contexts, this study clarifies the understanding of crowdsourcing adoption. The framework offers practical value to managers and decision-makers, equipping them with a structured approach to assess and navigate the challenges associated with effectively adopting crowdsourcing. As such, this study contributes to advancing crowdsourcing practices and supports more informed managerial decision-making in innovation and knowledge sourcing.

The purpose of this paper is to study the following two issues regarding blockchain crowdsourcing. First, to design smart contracts with lower consumption to meet the needs of blockchain crowdsourcing services and also need to design better interaction modes to further reduce the cost of blockchain crowdsourcing services. Second, to design an effective privacy protection mechanism to protect user privacy while still providing high-quality crowdsourcing services for location-sensitive multiskilled mobile space crowdsourcing scenarios and blockchain exposure issues.

This paper proposes a blockchain-based privacy-preserving crowdsourcing model for multiskill mobile spaces. The model in this paper uses the zero-knowledge proof method to make the requester believe that the user is within a certain location without the user providing specific location information, thereby protecting the user’s location information and other privacy. In addition, through off-chain calculation and on-chain verification methods, gas consumption is also optimized.

This study deployed the model on Ethereum for testing. This study found that the privacy protection is feasible and the gas optimization is obvious.

This study designed a mobile space crowdsourcing based on a zero-knowledge proof privacy protection mechanism and optimized gas consumption.

Introduction – In the twenty-first century, which is the age of communication and information, the time and space concepts have changed with new media technologies and changes have occurred in habits and ways of doing business using the Internet. In this respect, crowdsourcing concept comes first among the new applications with which internet users can share content. The crowdsourcing, which may be understood as ‘mass-based work’ or ‘crowded resource’, consists of a combination of ‘crowd’ and ‘source’, and refers to the use of a great number of human societies to do a common work. The crowdsourcing concept, used commonly as of the 2000s for different purposes, is included in the literature as a concept showing the power of crowds. It is a method in which communication and internet technologies are used with efficacy in the advertising and marketing fields.

Purpose – The objective of the present study is to determine the pros and cons of the crowdsourcing concept through new media applications in the form of critical evaluations by examining sample case studies that use the crowdsourcing concept, which is becoming widespread in Turkey and in the whole world in recent years.

Methodology – In this study, the ‘Case (Sample Event) Study Analysis’, which is one of the qualitative research methods and which is a methodological approach that includes examining how the crowdsourcing system works in-depth, will be used.

Findings – Crowdsourcing is becoming a worldwide business model and allows anyone with free time and an internet connection to contribute to economic productivity. This study has discussed the importance of crowdsourcing for companies in contextual terms and has made predictions on how to make this concept become a better model in which fields.

The aim of this chapter is to present techniques to involve the crowd in the ideation and funding process of tourism ventures. The typologies of those techniques are presented before analysing their key success factors and advantages. Finally, a design model is presented in order to help managers and project holders to implement a crowd ideation and funding process.

Literature review, quantitative and qualitative methods such as data analysis and interviews were employed to encompass several aspects of crowdsourcing related to tourism ventures.

This chapter highlights the key success factors and advantages of crowdsourcing and crowdfunding for tourism ventures, formulates recommendations and proposes a concrete tool for every project holder or manager who would like to engage in those activities.

Although several types of crowdsourcing are operative, we only focused on two particular types that are interesting for tourism entrepreneurs.

The key success factors and key advantages presented in this chapter constitute tracks for reflection and for action for the managers and project holders. The crowdsourcing design model is a tool to help entrepreneurs to elaborate campaigns of crowdsourcing/crowdfunding.

This chapter summarises the evolution of involving the crowd in the innovation and funding process of a project. The reasons and success factors are exposed and illustrated with numerous examples from the tourism industry. Finally, a practical model is presented in order to allow the creation of a crowdsourcing/crowdfunding campaign.

Crowdsourcing – a form of collaboration across organizational boundaries – provides access to knowledge beyond an organization’s local knowledge base. Integrating work on organization theory and innovation, the authors first develop a framework that characterizes crowdsourcing into a main sequential process, through which organizations (1) define the task they wish to have completed; (2) broadcast to a pool of potential contributors; (3) attract a crowd of contributors; and (4) select among the inputs they receive. For each of these phases, the authors identify the key decisions organizations make, provide a basic explanation for each decision, discuss the trade-offs organizations face when choosing among decision alternatives, and explore how organizations may resolve these trade-offs. Using this decision-centric approach, the authors continue by showing that there are fundamental interdependencies in the process that makes the coordination of crowdsourcing challenging.

Purpose: The insurance business is confronted with coordination difficulties that necessitate a high level of mobility, flexibility, and the capacity to analyse heterogeneous, location-dependent data from different sources and qualities. Recent innovations in emerging technologies have given the insurance industry new organisational options. When coupled with data analytics, crowdsourcing in the insurance industry facilitates solving complex issues with the wisdom of crowds. The notion of incorporating crowdsourcing and big data into the mainstream activities of insurance management is developed in this article, as are the ramifications and gains of collective intelligence achieved by Crowdsourcing and the added value of crowdsourcing insurance activities.

Design/methodology/approach: This chapter is a conceptual work that builds on relevant literature.

Findings: This chapter analyses what insurance industry managers should consider when coordinating crowdsourced activities and how they may benefit from collective intelligence combined with data analytics in terms of efficient and real-time response management for the insurance industry. Furthermore, it is demonstrated how they may use crowdsourcing to exploit information and benefit from invoking additional resources and eliminating the institutional voids present in the industry.

Practical implications: Exemplary applications that take advantage of crowdsourcing and data analytics would help the insurance sector respond flexibly, efficiently, and effectively in real time.

Originality/value: This chapter offers new collaborative ways to enhance the decision-making of insurance industry managers. The relevance of overcoming institutional voids is expanded, and repercussions from the given framework are suggested using data analytics.

The aim of this research was to identify the importance of trust as a determinant of participants’ behaviour and the weight of different motivational factors that enhance the amount and the quality of contribution.

Quantitative research methods (online survey of 450 respondents and content analysis of 250 reviews) were applied on a Romanian crowdsourcing platform founded in 2008, with the mission to help potential tourists to take the most informed decision in their travel choices.

The data collected showed that the majority of the active members have a positive outlook over their experience within the community, admitting its trustworthy characteristics. The findings show that most of the top-rated members of the community were not motivated by material rewards such as money or prizes, but rather by socially related factors or by individual factors (positive feedback through comments or acquiring knowledge).

The findings cannot be generalised to other crowdsourcing models, which are subject to different task designs, outcomes, local contexts and even functionalities.

The results of this research can contribute to the design and implementation of customer-centred platforms, which might represent a way of development of organisational communication in the future.

The research posits that individuals’ experience within colloraborative crowdsourcing communities needs to be meaningful, as participants act based on a reciprocity norm, of giving something back to the community which is useful for fulfilling their own information-seeking purposes.

In his inauguration speech of 1961, John F. Kennedy, the first Catholic and youngest-ever holder of the office of US President, famously exhorted citizens to ‘Ask not what your country can do for you; ask what you can do for your country.’ At the time, few would have interpreted this as a call for open innovation or even citizen crowdsourcing: neither the language nor the architecture then existed for either. But the sentiment he expressed marked the beginning of a campaign of citizen engagement in developing ideas for government. It was, in effect, the first national exhortation for the crowdsourcing of ideas, and Kennedy’s words have subsequently been adapted by Jeff Howe for the modern crowdsourcing context.

Citizen crowdsourcing is now well-established. This chapter sets out to assess how successful it has been as a mechanism for finessing original and meaningful ideas that advance social goals. We look briefly at leading examples of crowdsourcing for social good. We also look at the underlying factors that support it, including the knowledge and input solicited from the crowd; the crowd’s willingness to participate; and the mechanisms through which the crowd can engage. We trace the idea and practice of crowdsourcing back to Socrates in ancient Athens. We look at prosocial behaviour, exploring selected annals of public intellectuals, including Emerson. We examine citizen science as a forerunner of crowdsourcing, then move into the business strategy of open innovation and, finally, we arrive at crowdsourcing for social good in various guises. In conclusion, we explore what has been learned from initiatives that can now be considered current best practice in this area.

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.