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The paper aims to provide the necessary basis for a novel interdisciplinary research field. Various types and implementations of crowdsourcing have emerged in the market; many of them are related to logistics. While we can identify plenty of crowd logistics applications using information technology capabilities and information sharing in practice, theories behind this phenomenon have received only limited attention. This paper accounts for filling this research gap by analyzing the crowd’s contributions in logistics of goods and information.

This paper is part of an ongoing research endeavor in the field of location-based crowdsourcing. It represents conceptual work that builds on a literature review enriched with an in-depth analysis of real-world examples in the field of crowd logistics. Using a scoring method, we provide an example how a company may evaluate the alternatives of crowd logistics. The main approach is an analysis of variants of how the social crowd may be integrated in logistics processes. The work is conceptual in its core. Thereby, we use real-world examples of crowdsourcing applications to underpin the evaluated variants of crowd logistics.

The paper presents relevant theoretical background on crowd logistics. The authors differentiate between variants of crowd logistics with their flow of materials, goods and information. Thereby they zoom in the type, significance and process flow of the crowd’s contributions. They discuss potential advantages and challenges of logistics with the performing crowd and deeply discuss opportunities and challenges from a business and from an individual’s perspective. Finally, they highlight a route map for future research directions in this novel interdisciplinary research field.

As this work is conceptual in its core, generalizations may be drawn only with great care. Still, we are in a position to propose a route map for further research in this area in this paper. Also the integration of an analysis of a scale of real-world applications allows us to highlight our research’s practical relevance and implications.

The main contribution of this paper is an in-depth analysis and consolidation of innovative crowd logistics applications to provide an overview on recent implementations. The authors propose a categorization scheme and contribute with a route map for further research in the field of crowd logistics.

The purpose of this study is to offer implications and future research directions related to new organizational forms like crowds. Organizations are increasingly relying on online crowds to innovate through mechanisms such as crowdsourcing, open innovation, innovation challenges and tournaments. To leverage the "wisdom of crowds", crowdsourcing platforms that enable heterogeneous knowledge sharing in crowds lead to novel solution generation by individuals in the crowd. Based on the associative variety memory model of creativity, the authors hypothesize that when a crowd contributes a heterogeneous knowledge in form of a variety of knowledge associations, individual crowd members tend to generate solutions that are more novel. In contrast to the brainstorming view that focuses on ideas as knowledge, the authors propose, test, find and elaborate on implications of crowd sharing of heterogeneous knowledge for the generation of innovation, i.e. novel ideas. The authors coded and analyzed all the posts in 20 innovation challenges leveraging online temporary crowds that were structured to foster knowledge sharing as part of the idea generation process. The analysis shows a positive relationship between the variety of knowledge associations contributed by the crowd and the generation of novel solutions by individuals in the crowd. Further, the variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared. The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors coded and analyzed all the posts in 20 innovation challenges. They also designed and ran these challenges in collaboration with corporate sponsors. The ideas in the challenge were rated by senior executive at each company using a creative forecasting method.

The variety of knowledge associations contributed by the crowd has a stronger relationship with novel solution generation than the number of associations generated by the crowd, i.e. variety of knowledge has a greater impact than either the quantity of knowledge or the number of solution-ideas shared.

The authors offer four implications and several future directions for research on the new organizational form of online crowds.

The authors propose several ways in which companies running innovation challenges can moderate and encourage crowd to generate a variety of knowledge.

The authors believe that we are the first empirical paper to emphasize and show that associative variety of knowledge sharing in crowds has impact on novel idea generation by crowds. This view is counter to "electronic brainstorming" view where crowd is asked to just generate these ideas and often just submit their ideas to the sponsor. Their view also goes beyond knowledge refinement of ideas by crowds to more of knowledge integration by crowds.

This study examines how contributors with different achievement goals participate under the influence of two common motivators/demotivators on crowdsourcing platforms, namely system design features and task nature.

A free simulation experiment was conducted among undergraduate students with the use of a crowdsourcing platform for two weeks.

The results indicate that contributors with a strong performance-approach goal get better scores and participate in more crowdsourcing tasks. Contributors with a strong mastery-avoidance goal participate in fewer heterogeneous tasks.

Contributors with different achievement goals participate in crowdsourcing tasks to different extents under the influence of the two motivators/demotivators. The inclusion of the approach-avoidance dimension in the performance-mastery dichotomy enables demonstrating the influence of motivators/demotivators more specifically. This article highlights differentiation between the quality and the quantity of heterogeneous crowdsourcing tasks.

Management is advised to approach performance-approach people if a leaderboard and a point system are incorporated into their crowdsourcing platforms. Also, management should avoid offering heterogeneous tasks to mastery-avoidance contributors. System developers should take users' motivational goals into consideration when designing the motivators in their systems.

The study sheds light on habitual achievement goals, which are relatively stable in comparison to contributors' motives and states. The relationships between achievement goals and motivators/demotivators are more persistent across time. This study informs system designers' decisions to include appropriate motivators for sustained contributor participation.

The purpose of this paper is to find out the status/levels of using crowdsourcing in galleries, libraries, archives and museums (GLAM) around the globe and to give suggestions on how Indian GLAM can take the benefit of this global trend.

The study is based on the analytical study of the literature available on the embracing crowdsourcing for diverse tasks with special emphasis on the efforts of GLAM domain regarding the development of digital repositories.

Meticulous analysis of literature and case studies give an overview of the diverse practices of public participation/crowd collaboration in the development of digital repositories around the globe. However, Indian GLAM are far behind in adopting such practices.

With the rapid growth in digital information and Web-based technology, GLAM around the world encourage and engage public participation in various digitization projects to enrich and enhance their digital collections and place them on the Web. However, Indian GLAM still refrain to accept and adopt such practices. Thus, this paper will encourage and motivate the Indian GLAM to enrich and enhance their collection with crowd contribution and uploading them on Web.

This is an original paper and has great implementation value. During the study, enormous literature was available on crowd participation in various areas around the globe, as well as in India. International examples of crowd participation in GLAM creation are found in the literature; however, not sufficient evidences are found regarding crowd contribution in Indian GLAM. Hence, the paper, by presenting the evidences of crowd participation in GLAM domain, proposes the Indian GLAM to exploit the benefits of this practice for Indian digital repositories to expedite the creation and development of various national digital repositories.

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.

Logistics at work is rapidly changing. The changing trend is especially prominent when considering the active involvement of individuals that perform diverse forms of formal/informal “logistics work” (e.g. crowd logistics and self-collection). Thus, by conducting a synthesised review (n = 55), this study aims to provide a typology of individuals' logistics work.

The total social organisation of labour is used as a guiding framework. A deductive literature analysis is performed based on the identified journal articles.

The review findings reveal three major contexts where individuals perform logistics work: formal organisation, social community and private household, with a decreased level of formality. Under each context, individuals may be engaged in paid or unpaid activities, creating six forms of logistics work, termed as paid/voluntary professional logistics, incentivised/friendly social logistics and rewarded/free consumer logistics. Furthermore, an actor–sphere–resource–value conceptualisation of individual logistics is proposed, focussing on the chains of actors, work settings, resource input and value outcome.

The results provide a theoretical foundation for further research in individual- or consumer-centrism in logistics. Two research directions and seven research questions are presented for future investigation.

Using analytical and experimental methods, this paper examines the extent to which targeted self-funding lotteries described by Morgan ((2000). Review of Economic Studies, 67(234), 761–784) improve social welfare in an environment with multiple public goods. Social welfare improves relative to the Nash prediction, when a single lottery is used to support provision of any socially desirable public good. However, social welfare is maximized if the lottery funds only the most socially desirable public good. Experimental results show that a lottery can fund a less socially desirable public good, but that efficiency declines as lottery ticket purchases crowd out voluntary contributions made in the absence of lotteries.

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

The paper aims to explore the value generated by a specific configuration of a smart city's infrastructure by proposing a comparison between a silos configuration versus a crowd configuration at the data storage and processing level.

A system dynamics simulation is adopted to determine and compare the value created by the two configurations of smart city's infrastructure. The simulation outlines the flow of data and their positive and negative feedback that reinforce and hinder the smart city value generation.

The results demonstrate the huge impact of the availability of data for App developers when crowdsourcing configuration is adopted. Furthermore, results unveil the potential in value generation of a crowdsourcing smart city platform configuration compared to a silos architecture.

The authors have proposed a comparison between two alternative smart city digital platform configurations. The paper seeks to test the magnitude of the pros and cons of a crowdsourcing approach in setting up a smart city digital platform. The paper provides new guidelines for improving the data management of smart cities.

Many empirical studies have focused on whether public funding leverages (crowds in) or discourages (crowds out) private giving behavior, finding mixed results. Recent studies suggest the need to examine how nonprofits adjust their fundraising efforts after experiencing cuts or increases in government funding, which can then influence donor behavior.

In this study, the authors conduct an online survey experiment with nonprofit managers to test how nonprofits respond to changes in government funding.

The authors find some evidence that nonprofit organizations would change their fundraising expenses when facing cuts in government funding, yet the authors also find that the change could be either to increase or decrease fundraising spending. Since decisions are made by executive directors, the study also considered how executive personality type as maximizers or satisficers may interact with institutional and environmental constraints in decision-making. When funding goals are met, executives tend to behave as “satisficers” and are unlikely to make significant changes, even when their individual personality is more consistent with being a “maximizer.”

The authors find these results to be the reflection of the current environment in which many nonprofits operate, characterized by pressures to keep operating costs low. The results of the experiment have implications for both funding agencies and nonprofits that strive to enhance the capacity of nonprofit services.

This study is the first attempt to untangle the multilayered relationships between government funding, fundraising, leader preferences and personalities, and donations using an experimental approach with current nonprofit leaders.