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This study examines how individual contributors' evaluation of the two aspects in reward-based crowdfunding—service and community—influences the formation of platform loyalty. It also seeks to determine the conditions under which the evaluation is positive.

We collaborated for data collection with two reward-based crowdfunding platforms in South Korea that primarily promote crowdfunding campaigns in the creative domains. We combined the survey data collected from 578 contributors and campaign data from the platforms, empirically examining the formation of platform loyalty and its antecedents.

The results suggest that service satisfaction with a platform and a sense of belonging to it are positively associated with platform loyalty. We also found that an individual contributor's self-image congruence with the crowdfunding platform is positively associated with service satisfaction and a sense of belonging, while the experience of greater campaign success moderates the relationship in different ways.

This study contributes to the crowdfunding literature by establishing a theoretical background for understanding reward-based crowdfunding platforms, which combine service and community. It also extends the scope of the literature on crowdfunding by examining the role of platform loyalty at the platform level.

The results suggest that service and community are both critical for building a sustainable crowdfunding platform. Platform operators are expected to provide high-quality services and foster a sense of community. Identifying and developing contributors with higher self-image congruence with the platforms is essential.

While previous literature on reward-based crowdfunding has focused on individual contributor- and campaign-level analyses, platform-level knowledge is lacking. This study is among the first to focus on platform loyalty of individual contributors toward reward-based crowdfunding platforms. Moreover, we use both individual-level perception and campaign-level performance variables to examine the formation of platform loyalty.

This study aims to predict popular contributors through text representations of user-generated content in open crowds.

Three text representation approaches – count vector, Tf-Idf vector, word embedding and supervised machine learning techniques – are used to generate popular contributor predictions.

The results of the experiments demonstrate that popular contributor predictions are considered successful. The F1 scores are all higher than the baseline model. Popular contributors in open crowds can be predicted through user-generated content.

This research presents brand new empirical evidence drawn from text representations of user-generated content that reveals why some contributors' ideas are more viral than others in open crowds.

This research suggests that companies can learn from popular contributors in ways that help them improve customer agility and better satisfy customers' needs. In addition to boosting customer engagement and triggering discussion, popular contributors' ideas provide insights into the latest trends and customer preferences. The results of this study will benefit marketing strategy, new product development, customer agility and management of information systems.

The paper provides new empirical evidence for popular contributor prediction in an innovation crowd through text representation approaches.

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.

This chapter introduces the approaches and methods employed in a four-country research project that resulted in the 2017 report The People in the Pictures: Vital perspectives on Save the Children’s image making. It presents and explores the ethical issues that emerged throughout the process of the research, particularly in relation to photo elicitation – the use of images (still and moving) within both interviews and focus groups. Interviews and focus groups took place in the UK, Jordan, Bangladesh, and Niger with a total of 202 research participants. The research involved sharing Save the Children content (fundraising materials, published reports, online news features, TV adverts, and short films) with research participants. Research participants included those featured in some of these visual communication materials (referred to as contributors), and other individuals within their communities (referred to as non-contributors). The following principles and decisions informed the research design: safe and ethical practice; inclusive, engaging and accessible approaches; the participation of children; prioritising first-hand accounts; no photography or filming; and the preparation of location- and language-specific resources for each interview and focus group. The main ethical issues to emerge during the design of the research related to predicting (and responding) to any potential negative impacts of the research on participants, particularly contributors, but also children. The researchers also experienced some unexpected ethical encounters, including visual materials causing some concern or distress. Additionally, assuring research participants’ anonymity led to the necessity of extra care when publishing the report and the use of images within that.

When considered as organized solutions to problems of provision of public goods, Free/Open Source Software (F/OSS) productions share a number of their defining features with the organized anarchies described by Cohen, March and Olsen in their “Garbage Can Model” (GCM). The open and voluntary contribution of software developers creates constant fluctuations in levels of attention and an extremely fluid participation. The lack of predefined hierarchical access to organizational problems determines a fundamental uncertainty about how collective goals may be linked to individual activities, and in how responsibilities and tasks may be allocated efficiently within the project. Finally, the complexity involved in the collective production of tens of thousands of lines of computer code without explicit coordination creates a situation of technological ambiguity supported by a radically decentralized activity of organizational problem finding and problem solving. In this paper we take these broad similarities as point of departure to specify an empirical model that captures some of the garbage can properties of organizational problem-solving activities in the context of a specific F/OSS project followed throughout a complete release cycle. We examine the interconnected system of individual decisions emerging from problem-solving activities performed by the 135 contributors involved in the F/OSS project on the 719 software bugs reported during the period of observation. We treat the evolving two-mode network produced by encounters between carriers of organizational solutions (contributors) and organizational problems (software bugs) as a dynamic opportunity structure that constrains and enables organizational decision making. We document how stable local configurations linking problems and solutions are induced by – and at the same time sustain – decentralized problem-solving activities with meaningful self-organizing properties.

Crowdfunding offers a popular means to raise donations online from many contributors. Open calls for contributions involve another actor too, namely, the internet platform that maintains the two-sided market. This paper aims to examine the effect of this intermediary on contributors’ willingness to participate in crowdfunding projects.

An online survey measures the relative effect of contributors’ attitudes towards the crowdfunding platform on two key behaviours: willingness to share word-of-mouth and willingness to participate in a project.

Using the theoretical framework of a two-sided market, the empirical study reveals that attitudes towards a crowdfunding platform moderate contributors’ willingness to participate due to several risk factors that affect the platform’s perceived usefulness and ease of use. These factors have negative influences on attitude towards the platform, which reduces support for the project. The effects are stronger for willingness to participate than for word-of-mouth intentions.

Declarative measures and a focus on the utilitarian dimensions of contributor participation limit the external validity of the findings.

With the results of this study, internet platforms can find ways to improve the attitudes of potential contributors. Project creators can use the findings to adapt their communication campaigns and reduce inhibitions that keep contributors from using platforms.

This study advances marketing and crowdfunding literature by highlighting the potential dark side of a platform that functions as an intermediary in a two-sided market.

A literature review was conducted to evaluate the effectiveness of external contributors (anyone other than a teacher at the school) in delivering school‐based drug, alcohol and tobacco education (substance use education) programmes.

The review focused upon literature published from 1990 onwards in English. Published reports were identified via electronic searches, supplemented by hand searching of relevant journals. Relevant organisations and individuals were contacted to identify low circulation, difficult to acquire (grey) literature. Judgements were made of methodological quality and only reports judged to be methodologically sound or better are included in this paper.

A total of 114 reports were included in the review (53 published, 61 unpublished), 42 of which were considered methodologically sound. In total 16 types of contributor were evaluated (although only nine in methodologically sound studies) including nurses, police officers, theatre groups, peers and researchers. There was insufficient evidence to judge a particular type of contributor as most effective at delivering substance use education programmes in terms of behavioural, knowledge, intention or mediating outcome measures, although peers show promise. However, process data revealed that pupils enjoy content delivered by external contributors, which is important, as pupils are more likely to attend to information that is enjoyable.

The paper finds that external contributors should be used in a supplementary role in substance use education in a manner reflecting their expertise, when that expertise maps onto the aims and content of the drug education planned by the school.

With over 80 percent of schools in the USA and the UK using external contributors to deliver substance use education, this paper highlights best practice guidance for their use.

Drawing on sensemaking and emotion regulation research, the purpose of this paper is to reconceptualize core contributor withdrawal (CCW) in the context of online peer-production communities (OPPCs). To explain the underlying mechanisms that make core contributors withdraw from these communities, the authors propose a process theory of contributor withdrawal called the core contributor withdrawal theory (CCWT).

To support CCWT, a typology of unmet expectations of online communities is presented, which uncovers the cognitive and emotional processing involved. To illustrate the efficacy of CCWT, a case study of the English version of Wikipedia is provided as a representative OPPC.

CCWT identifies sensemaking and emotion regulation concerning contributors’ unmet expectations as causes of CCW from OPPCs, which first lead to declined expectations, burnout and psychological withdrawal and thereby to behavioral withdrawal.

CCWT clearly identifies how and why important participation transitions, such as from core contributor to less active contributor or non-contributor, take place. By adopting process theories, CCWT provides a nuanced explanation of the cognitive and affective events that take place before core contributors withdraw from OPPCs.

CCWT highlights the challenge of online communities shifting from recruiting new contributors to preventing loss of existing contributors in the maturity stage. Additionally, by identifying the underlying cognitive and affective processes that core contributors experience in response to unexpected events, communities can develop safeguards to prevent or correct cognitions and emotions that lead to withdrawal.

CCWT provides a theoretical framework that accounts for the negative cognitions and affects that lead to core contributors’ withdrawal from online communities. It furthers the understanding of what motivates contributing to and what leads to withdrawal from OPPC.

Although researchers have demonstrated a keen interest in knowledge collaboration in online encyclopedias, previous studies have seldom explored the dynamic interrelations in online encyclopedias over time that involve the iteratively melding of individual cognitive system and knowledge collaboration system. Therefore, this paper aims to reveal the structure and dynamics of knowledge collaboration in online encyclopedias from a perspective of system dynamics (SD).

This paper proposes a general activity system of knowledge collaboration in online encyclopedias based on Engeström’s activity theory. According to the SD methodology proposed by Forrester, this study develops a holistic SD model by identifying interactions of knowledge collaboration factors based on behavioral theories; validating the SD model by structural tests and behavior tests involving historical data of English Wikipedia; and conducting simulation to capture the interactive dynamics of the salient factors of knowledge collaboration.

According to the SD methodology, this study develops and validates an SD model to explore interesting dynamic interrelations among core factors (contributors, conflicts, discussions, entries quantity and entries quality) that are neglected by previous research. The results show that there is a significant negative feedback relationship between inactive contributors and entries quality, between contributors and conflicts and between edit conflicts and entries quality. There is a complicated nonlinear feedback relationship between active contributors and entries quality, and between edit conflicts and discussions.

Different from prior empirical studies that normally investigate the unidirectional linear relationships among prominent factors of knowledge collaboration in online encyclopedias from a static perspective, this study captures a dynamic picture of their interrelations by unfolding their behavior patterns over time. The main contribution of this study is to develop a holistic SD model and to reveal and elaborate on the complex dynamics involved online encyclopedias based on activity theory.

This chapter shows how the theory of industrial organization can help us understand some important aspects of crowdfunding that go beyond the finance sphere of the firm. A special attention is devoted to the role and behavior of crowdfunding platforms, which intermediate between entrepreneurs and contributors.