Journal of Innovation & Knowledge最新文献

The crowdfunding movement has created opportunities for entrepreneurs to overcome financial barriers and initiate innovative projects that can alter consumer behaviour towards more sustainable consumption practices, particularly mindful consumption. Mindful consumption involves incorporating acquisitive, repetitive and aspirational behaviours and purchasing decisions that consider the impact on ecosystems and communities. While previous research has identified success factors such as project descriptions, financing goals, social capital and innovation, their influence on crowdfunding success through the lens of mindful consumption could be less determinant. The entire concept of what success entails can also be redefined and, with it, the impact of startups. This study fills this research gap by determining the factors that contribute to the success of environmental projects in reward-based crowdfunding and understanding how such projects also promote consumers’ sustainable consumption practices. The study employs fuzzy-set qualitative comparative analysis on a sample of 210 Kickstarter projects in the environmental category to identify the necessary conditions for crowdfunding success and unravel the complex factors at play between success and mindful consumption. The results are consistent with previous literature finding that integrating monetary-related keywords alone is not enough for crowdfunding success, indicating that the overall understanding of startup success should be revisited to include social capital. Identifying the necessary conditions for redefining success also contributes to the formation of guidelines to assure sustainable innovation for new ventures in reward-based crowdfunding platforms such as Kickstarter.

Government intention to spur innovation can result in the proliferation of low-quality patents, which is especially pronounced in countries with a low level of government accountability. This study examines the paradoxical effects of government-funded innovation in weakly institutionalized environments. I offer a game-theoretic model, in which the government has a stake in technological development and invests in research and development, although this encourages the growth of low-quality patents. Using Russian patents data between 1998 and 2016, I illustrate this mechanism by demonstrating the causal impact of Russia's government policy, which resulted in a simultaneous increase in the number of patents and a decrease in the absolute number of high-quality patents in the patent pool. This study provides a theoretical background for evaluating the impact of political incentives for investing in the creation of new technologies in the technological development of countries.

This article investigates whether a micro-entrepreneur's personality influences their innovativeness. Using the Big Five theory and a broad definition of innovation from the 4th version of the Oslo Manual (two types and nine categories of innovations in total), the study analyses data from 1,848 Polish micro-entrepreneurs. Since innovativeness is a complex process with several interdependencies, and previous research shows that introducing one type of innovation is not independent of introducing other types, Multivariate Probit (MVP) regression was used to estimate the models. The results allow two conclusions to be drawn. Firstly, in the case of product innovations implemented by micro-entrepreneurs, three personality traits have a positive impact. These are Openness to experience, Conscientiousness and Extroversion. Secondly, in the case of business process innovations, all 7 types are positively influenced by two personality traits, namely Openness to experience and Extroversion.

The entrepreneurship literature has long recognized the importance of education in fostering successful self-employment, yet a significant gap exists in our understanding of how the political economy of vocational education systems influences the financial success of self-employed graduates. We focus on vocational education systems that are collectivist—namely, collective decision making and stakeholder collaboration to align training with labor market needs and to promote social cohesion—and statist—a centrally controlled vocational education system directed by the state, aiming to align training with national development goals and to prioritize economic needs. Our study analyzed 6924 participants who received vocational education from collectivist systems (Czech Republic and Denmark) and statist systems (Finland and Norway). The findings show a significant earnings gap between employed and self-employed receiving vocational education in statist systems, and a non-significant difference in earnings between employed and self-employed in collectivist systems. The findings have implications for how the type of vocational training affects the earnings gaps among the employed and self-employed.

This study explores the perceptions and implications of a large manufacturing company as it shifts toward a circular economy. It devises a guiding framework to facilitate this transition by delving into key focus areas, informed by a systematic literature review. From this review emerges a multi-level readiness framework tailored to facilitate the transition to a circular economy. This framework is validated through a case study conducted in the heavy-duty vehicle industry. The proposed readiness framework encapsulates four key focus areas: 1) the ecosystem of external partners, 2) the customer and the business model, 3) the company's culture and internal capabilities, and 4) design and product development. Moreover, the framework delineates five levels of readiness progression within each focus area. Strategies and indispensable activities essential for transitioning to a circular economy are outlined. The suggested hands-on readiness framework advocates holistic and cross-functional management approaches to navigate the transition toward a circular economy. The readiness status for the transition ranges from initial developmental stages to full circularity, with each level outlining actionable pathways incorporating specific actions and strategies.

Inclusive entrepreneurship, which represents an integrated approach to entrepreneurship and social inclusion, has increasingly received attention for its expected capacity to simultaneously foster economic growth and mitigate inequality. This study examines how the configuration of institutional enablers, which encompass several characteristics involving markets, finance, policy, education, and knowledge, fosters inclusive entrepreneurship outcomes. The results of a fuzzy-set qualitative comparative analysis using 69 country cases indicate that institutional enablers—excluding market openness—jointly affect inclusive entrepreneurship outcomes. This study provides evidence that such effects vary depending on the level of a country's economic development. As one of the first to explore the topic of inclusive entrepreneurship, this study has significant implications for academics, practitioners, and policymakers.

This paper presents a bibliometric analysis of the systems dynamics (SD) research landscape, drawing on 2,091 documents from Scopus and Web of Science. This research employs bibliometric techniques to explore the evolution of the scientific community over the past 50 years and assess research productivity and impact. Through network analysis, the study further reveals the field's social and conceptual structures. This approach revealed four pivotal thematic clusters, which were discussed based on content analysis: (1) operations research and strategy formulation, (2) behavioral studies and collaborative approaches, (3) dynamic performance management, and (4) systems thinking for sustainable development. The findings reveal a diverse and interdisciplinary trajectory of SD research, reflecting its integration into a broad array of fields and its potential to inform both theoretical and practical applications. The paper concludes by providing targeted recommendations for future SD research, with a particular emphasis on enhancing management and organizational studies through the incorporation of SD methodologies. This includes the potential for SD to influence the design of adaptive strategies, the use of SD in participatory policymaking, and the application of SD tools in promoting organizational learning and sustainability.

Although environmental turbulence poses significant challenges for small and medium-sized enterprises (SMEs), it also offers opportunities for them to thrive and compete. Scholars generally acknowledge the effectiveness of dynamic capabilities (DCs) and artificial intelligence (AI) applications in responding quickly to market uncertainties; however, their impact on boosting firm performance during real-time environmental turbulence requires further investigation. To address this gap, this study examined the influence of environmental turbulence on SME innovation using AI applications and DCs and how new opportunities can be leveraged to maintain a competitive advantage. This study adopted a quantitative approach, and survey data were collected from 487 managers and owners of SMEs that implemented DCs and AI during real-time environmental turbulence. The results indicate that the elements of environmental turbulence influence SMEs’ implementation of both DCs and AI, acting as mediators between disruptive elements and enhancing firm performance during challenging times. The theoretical and practical implications of these findings are discussed in depth.

The FTX scandal and crypto boom-and-bust cycles have called into question the sustainability of decentralised systems like DAOs. This article argues that inherent constraints will limit DAOs’ mainstream adoption. We contend that the primacy of code in DAOs—represented by the code is law maxim—is overstated given semantic gaps in contracts. Crisis management is another serious bottleneck due to challenges of coordinating decisions without central authorities. Informal hierarchies may also emerge—in line with organisational theoretic concept of power clawing back, which would undermine decentralization objectives. Our analysis considers anonymous reputation verification, flexibility, and transparency to have more staying power and identifies scalability as the primary obstacle—stemming from high transaction costs and throughput constraints.

This study aims to identify generative AI (GenAI) applications and develop a roadmap for the near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic patterns and identify the key application areas from a text corpus comprising 2,398 patents published between 2017 and 2023. The study identifies six latent topics of GenAI application, including object detection and identification; medical applications; intelligent conversational agents; image generation and processing; financial and information security applications; and cyber-physical systems. Emergent topic terms are listed for each topic, and inter-topic correlations are explored to understand the thematic structures and summarize the semantic relationships among GenAI application areas. Finally, a technology roadmap is developed for each identified application area for the near, mid, and far future. This study provides valuable insights into the evolving GenAI landscape and helps practitioners make strategic business decisions based on the GenAI roadmap.