Birgit Muskat

Social innovation can be developed by entrepreneurs who create ventures to address socio-economic challenges. Indigenous Australians face complex social problems, and social innovation supports them towards greater societal equality. We explore the transformative potential of cultural knowledge sharing and experiential learning in fostering social innovation. Indigenous storytelling, yarning circles, participatory public art, and connecting with and learning from nature through storytelling and guided tours are introduced as entrepreneurial activities and experiential learning initiatives. We present two Indigenous community-based case studies of ventures to demonstrate how entrepreneurial activity bridges cultural gaps and promotes a deeper understanding of Indigenous ways of knowing, being, and doing. The chapter concludes with recommendations for learning and teaching practices that can enhance personal reflection and learning and develop social innovation, ultimately contributing to the mitigation of pressing socio-economic issues.

This study explores the visual aesthetics of organizational space by contrasting coworking spaces with traditional open-plan offices. Drawing on signaling theory and symbolic interactionism, we examine how ambience communicates symbolic meaning. Employing an archaeological approach to retrieve large-scale online photo data from Coworker and Pinterest, we then apply AI-driven deep learning visual contrast analysis to reveal clear aesthetic distinctions in organizational space. Coworking spaces evoke a homely, dining-room-like ambiance, with artwork, plants, warmer color palettes, and a more homely and hospitable ambience. Traditional open-plan offices, by contrast, tend toward cooler colors and industrial design elements. Findings suggest that coworking spaces visually signal greater affective and sensory value, promoting belonging, creativity, and warmth. The study contributes to organizational space theory by theorizing how visual aesthetics act as symbolic cues that shape workplace experiences and by introducing a methodological framework that integrates AI-based analysis with interpretive meaning-making.

In resource-constrained environments, where institutional support is scarce, women entrepreneurs often rely on peer support to sustain their ventures. While existing research emphasizes women as beneficiaries of help, this study shifts attention to their active role as help providers. We examine how women entrepreneurs balance providing help with pursuing their own economic survival, exploring the interplay of social and economic value creation. Using a sequential mixed-method approach and data from Brazilian favelas , Study 1 analyzes a quantitative survey across three data points, demonstrating that receiving help significantly enhances venture survival. Study 2 builds on these findings through qualitative interviews, uncovering the motivations, mechanisms, and tensions involved in help-giving behaviors. Women entrepreneurs actively create social value for their peers through resource-sharing, mentoring, and collaboration, even as they navigate struggles for their own survival. Our findings reveal that help-giving is driven by both instrumental motivations—such as leveraging shared networks for mutual benefit—and moral motivations rooted in solidarity and ethical commitment. This dual motivation demonstrates the complex dynamic of women’s entrepreneurship in resource-scarce environments, where helping peers is both a survival strategy and a pathway to fostering community resilience. By highlighting women’s active support-giving roles, this research offers insights for developing policies that empower women entrepreneurs in disadvantaged contexts.

Previous methods for destination competitiveness improvement have mainly focused on identifying and prioritizing competitive disadvantages of destinations. Although effective, this approach may not be optimal as it may require more change than improving combinations of other competitive disadvantages. Furthermore, these methods neglect the differing foci of travel experiences between tourist groups and have been unable to identify targeted competitiveness improvement strategies for different tourist groups. This study addresses these research gaps by developing an analytical framework that can identify targeted strategies that entail minimal changes to improve the competitiveness of destinations for different tourist groups, based on user-generated data, aspect-level sentiment analysis, and the optimization-based causal counterfactual Al algorithm. The application of the framework is demonstrated through a case study involving four destinations in Australia. The proposed analytical framework and findings are valuable in assisting destinations to improve their competitiveness in today’s increasingly competitive experiential tourism market.

Green innovation is an organizational strategy aimed to address climate crises and create low-carbon growth, yet, its implementation remains a significant challenge. We focus on green innovation implementation (GII) and argue that GII is a distinctive strategic process. Traditional innovation implementation, centered on short-term economic growth, can be problematic as it often decouples nature from innovation in the pursuit of profit maximization. Thus, the traditional approach fails to adequately explain GII, specifically, who implements it and how they do it. We adopt a strategy-as-practice perspective and conduct a systematic review of 224 journal articles across various management fields to synthesize existing knowledge of GII. This review makes three main contributions. First, we posit that GII is theoretically distinct with unique implementation challenges: recoupling nature with innovation implementation introduces complex antecedents and environment-inclusive benefits, requiring a long-term implementation process and a broader scope. Second, we develop a framework that synthesizes practitioners, antecedents, processes, and impact of GII from three theoretical foci: (1) resource-based perspective, (2) sustainable value-driven perspective, and (3) institutional perspective. This framework complements the traditional understanding of innovation implementation by offering diverse theoretical insights on GII. Third, we propose theoretical and methodological directions for future research to advance knowledge on green innovation and provide meaningful insights on GII.

Tourism and event organizers implement green innovation to mitigate the negative environmental impacts they cause. However, how to effectively communicate these green innovations to online communities remains a challenge. Drawing on message framing and construal level theories, we collected 503 tweets and used an exploratory sequential mixed-methods approach to analyze the textual data. First , we conducted abductive coding analysis, identifying two novel framing forms, innovative and value chain framings. Second , using negative binomial regressions, we found that input-value (vs. output-value) framing is often used but decreases online engagement. Moreover, proximal (vs. distal) framing is less used but enhances online engagement. Third , we explored the moderating effect of green innovation, revealing that innovative and proximal framings are more effective for green organizational innovation, whereas emotional framing is more effective for green service innovation. This study offers novel insights on how to strategically communicate green innovation to event online communities.

The aim of this research is to assess the reliability of venue check-in data. We focus on resident mobility and assess how venue check-in data can provide valuable insights into residents’ movement in tourist destinations. Understanding resident’s mobility and related activities is necessary for strategic planning and decision making for destination managers. Venue-referenced social media data (VR-SMD) is a new type of data and can provide insights into resident’s mobility and behavior. While VR-SMD is available on various social media platforms, their reliability to capture resident movement and activities has not been fully realized. We present an analytical approach to assess and demonstrate how VR-SMD, specifically venue check-in data, can be used to capture resident mobility and activities, with illustrative examples from the United States of America, United Kingdom, and Singapore. Results and analysis indicate that tourism managers and government organizations can exploit VR-SMD for domestic tourism development.