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In the context of rewards-based crowdfunding, this study aims to examine the role of project backers as providers of knowledge inputs beyond just financial capital.

This study uses binomial regression to study the relationship between project creators’ and backers’ knowledge sharing, and the relationship of these two knowledge-sharing elements with achieving above-goal funding levels.

This study finds that the project creator’s knowledge sharing is significantly and positively related to backers’ knowledge sharing and that this relationship is moderated by the type of project. Furthermore, backers’ knowledge sharing is positively related to above-goal funding outcomes for a project.

This study established the link between creators’ and backers’ knowledge sharing in rewards-based crowdfunding, which has been underexplored in the literature. This study’s direct attention to the role of knowledge as a key resource in rewards-based crowdfunding and crowdsourcing in general.

For entrepreneurs seeking crowdfunding, this study highlights the importance of knowledge sharing with their project backers to attain above-goal funding. Furthermore, eliciting backers’ knowledge input acts as a signaling mechanism that increases the crowd’s confidence in the project. It also endows entrepreneurs with knowledge resources that can improve project outcomes and achieve broader market success postcrowdfunding.

To the best of the authors’ knowledge, this study is one of the first to focus on knowledge content as a critical element in project backer-creator communication in rewards-based crowdfunding. This study also delineate the various knowledge types shared between the project creator and backers in both rewards-based crowdfunding projects.

This two-year study illuminates the experiences of technology coaches (digital learning coaches [DL] and science technology engineering and mathematics/literacy coaches [STEM/L]) as they engaged in their own professional learning (PL) facilitated by a faculty researcher.

Technology coaches from different school districts and their respective colleagues participated in book studies as part of their PL. They reflected and debriefed individually and collaboratively with a researcher facilitator. Data were collected through interviews, field notes at meetings, observations, researchers’ reflections and artefacts. Qualitative data analysis methods were employed.

The findings offer a glimpse into (1) benefits of cross-district collaboration, (2) challenges finding resources for coaching, (3) career-long desire to learn and (4) time to build and sustain cross-collaborations.

Conclusions suggest that DL and STEM/L coaches benefit from their own dedicated, differentiated programme of PL supported by each other (as from other districts) and a researcher facilitator. Educational implications are offered for researchers and other school district stakeholders for consideration for them to foster coaches’ collaborative PL.

Importantly, this project is an exemplar of how to support coaches’ PL and growth through researcher facilitation of cross-district collaborative learning.

Service robots are now an integral part of people's living and working environment, making service robots one of the hot topics for service researchers today. Against that background, the paper reviews the recent service robot literature following a Theory-Context-Characteristics-Methodology (TCCM) approach to capture the state of art of the field. In addition, building on qualitative input from researchers who are active in this field, the authors highlight where opportunities for further development and growth lie.

The paper identifies and analyzes 88 manuscripts (featuring 173 individual studies) published in academic journals featured on the SERVSIG literature alert. In addition, qualitative input gathered from 79 researchers who are active in the service field and doing research on service robots is infused throughout the manuscript.

The key research foci of the service robot literature to date include comparing service robots with humans, the role of service robots' look and feel, consumer attitudes toward service robots and the role of service robot conversational skills and behaviors. From a TCCM view, the authors discern dominant theories (anthropomorphism theory), contexts (retail/healthcare, USA samples, Business-to-Consumer (B2C) settings and customer focused), study characteristics (robot types: chatbots, not embodied and text/voice-based; outcome focus: customer intentions) and methodologies (experimental, picture-based scenarios).

The current paper is the first to analyze the service robot literature from a TCCM perspective. Doing so, the study gives (1) a comprehensive picture of the field to date and (2) highlights key pathways to inspire future work.

The purpose of this study is to understand the role of the migrant entrepreneur’s social capital and specifically their family social capital in the success of their crowdfunding ventures.

This paper develops an exploratory single case study of the Persu Bag started by a Chinese migrant entrepreneur in the USA, which was documented through in-depth interviews, email communication, social media interactions and secondary documents publicly available. This paper draws on crowdfunding and social capital literature to fulfil the purpose and adopt the perspective of the migrant entrepreneur in the study.

The study shows that the crowdfunding migrant entrepreneur’s family network contributes with their operand and operant resources from both the country of residence and country of origin. Besides having financial capacity, institutional knowledge and experience from both the host and home countries, the family network in both countries make the crowdfunding immigrant entrepreneur’s families more resourceful, providing additional benefits to the crowdfunding migrant entrepreneurs in the development of the campaign and crowdfunded venture.

This study broadens the understanding of the ways migrant entrepreneurs can rely on their family social capital for building financial capacity and starting a crowdfunded venture.

The objective of this paper is to investigate how firms react to cybersecurity information sharing environment where government organizations disseminate cybersecurity threat information gathered by individual firms to the private entities. The overall impact of information sharing on firms' cybersecurity investment decision has only been game-theoretically explored, not giving practical implication. The authors therefore leverage the Cybersecurity Information Sharing Act of 2015 (CISA) to observe firms' attitudinal changes toward investing in cybersecurity.

The authors design a quasi-experiment where they set US cybersecurity firms as an experimental group (a proxy for total investment in cybersecurity) and nonsecurity firms as a control group to measure the net effect of CISA on overall cybersecurity investment. To enhance the robustness of the authors’ difference-in-difference estimation, the authors employed propensity score matched sample test and reduced sample test as well.

For the full sample, the authors’ empirical findings suggest that US security firms' overall performance (i.e. Tobin's Q) improved following the legislation, which indicates that more investment in cybersecurity was followed by the formation of information sharing environment. Interestingly, big cybersecurity firms are beneficiaries of the CISA when the full samples are divided into small and large group. Both Tobin's Q and sales growth rate increased for big firms after CISA.

The authors’ findings shed more light on the research stream of cybersecurity and information sharing, a research area only explored by game-theoretical approaches. Given that the US government has tried to enforce cybersecurity defensive measures by building cooperative architecture such as CISA 2015, the policy implication of this study is far-reaching.

The authors’ study contributes to the research on the economic benefits of sharing cybersecurity information by finding the missing link (i.e. empirical evidence) between “sharing” and “economic impact.” This paper confirms that CISA affects the cybersecurity industry unevenly by firm size, a previously unidentified relationship.

Why is the quality of innovation-driven entrepreneurship seemingly declining? We argue the growing Entrepreneurship Industry and the way it has transformed entrepreneurship as an activity are important, under-appreciated explanations. By leveraging the Ideology of Entrepreneurialism to mass-produce and mass-market products, the Entrepreneurship Industry has made possible what we term Veblenian Entrepreneurship. This is entrepreneurship pursued primarily as a form of conspicuous consumption, and it is fundamentally different from the innovation-driven entrepreneurship that it emulates and superficially resembles. Aside from lowering average entrepreneurial quality, Veblenian Entrepreneurship has a range of (short-run) positive and (medium- and long-run) negative effects for both individuals and society at large. We argue that the rise of the Veblenian Entrepreneur might contribute to creating an increasingly Untrepreneurial Economy. An Untrepreneurial Economy appears innovation-driven and dynamic but is actually rife with inefficiencies and unable to generate economically meaningful growth through innovation.

As conventional practices of working continue to be modified in the gig economy, more theoretical work examining the experiences of gig workers is needed. Relying on person-based fit and levels of analysis literature, this paper proposes an adaptation to the traditional Attraction-Selection-Attrition (ASA) framework to the gig economy.

Drawing on the ASA framework, this conceptual paper explores how gig workers join, leave and could be retained by gig employers.

The authors recognize an intermediary “organizing” phase within the ASA framework for gig workers. Using examples of appwork and crowdwork, the authors show that workers tend to self-organize through third-party websites to help gig work become economically sustainable, avoid being exploited and enhance gig workers' sense of community and identity.

The practical implications of this research lie in gig employers understanding how workers experience gig employment and in helping employers be successful in attracting, selecting and retaining quality workers and thereby lowering permanent attrition.

The authors propose a novel adaptation to the conventional ASA framework to include organizing as a phase in gig worker employment. This research defines gig attraction and attrition at the individual-level, selection at the individual- and task-levels based in person-job (PJ)-fit and the various aspects of gig organizing as encompassing fit with one's job, organization, and environmental (i.e., PJ-, PO-, PE-fit) at the individual-, task-, and network-levels.

The purpose of this paper is to explore how linguistic style and message substance influence persuasion in civic crowdfunding marketplaces in which written narrative pitch become a vital communication to attract private contributions to public goods and services. Drawing on the elaboration likelihood model (ELM), the authors operationalize the linguistic style of the narrative pitch as language power and message substance as issue-relevant argument quality. In this paper, the authors examine how characteristics of both style and message are related to the outcome of civic crowdfunded projects.

The data on civic crowdfunding projects were retrieved from Spacehive, the platform that dedicated mainly to civic projects ranging from community programs, social-oriented enterprises, to infrastructure or facility development. Each of the narrative samples is analyzed using a computerized text analysis package called the Linguistic Inquiry and Word Count to extract the features of the linguistic style and message substance in the narratives. The logistic regression models are estimated to assess the impact of both linguistic style and message substance on crowdfunding decisions.

The results show that funding outcomes can be improved with psychological language dimensions (i.e. positive affective and perceptual language). However, extensive use of social language does not help project creators to increase their chance of funding performance; but instead, such language reduces the likelihood of project success. Additionally, message substance or issue-relevant information such as money and risk language influences funding outcome.

Very few empirical studies investigated the differential effects of language style and message substance on funding performance of crowdfunding campaigns. The authors draw upon the dual process of persuasion as a theoretical base to identify a comprehensive set of linguistic style and message substance and to examine the role of such features in an emerging civic crowdfunding market. This study advances the application of the dual process in ELM by identifying and examining distinct persuasive cues originating from linguistics styles and message contents.