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Science parks are business clusters situated in a particular geographical location, originally conceptualized by local universities, local government and businesses. In recent times, science park stakeholders and tenants are starting to pursue social value and even how to manage. This study aims to clarify the understanding of social value in an innovation ecosystem.

This study combines existing literature studies and concepts, observations in a real-life innovation ecosystem – a Bioscience Park – and interviews of key personnel managing the science park.

Science Park Social Value (SPSV) is a value resulting from interaction among groups and not just the pursuit of a single firm-level goal. SPSV emanates from the firms within the science park in reaction to the demands of the actors or entities within and outside the innovation ecosystem of the science park: internal operations, external stakeholders and infexternal or broader societal impact. In addition to this, the author has conceptualized a framework for social value of an innovation ecosystem, which will require further research.

This paper creates a link between concepts about social value, innovation ecosystem (e.g. science park) and stakeholder theory.

SPSV will be useful for science park orchestrators or managers to manage expectations of social and non-social actors.

Social value of a science park will bring a new light on the stigma that science parks are only money-making ventures and are not in touch with social issues.

This study theorized and researched previously unrelated concepts.

Over recent decades, talent agglomeration has emerged as a critical topic for scholars, businesses and government officers. Innovative ability is a core competition for high-tech talents. In China, low innovation is the bottleneck, as the high-tech industry usually cannot provide sufficient support for the continuous needs of innovative talents. To enhance the continuous support of talents, it is important to obtain the mechanisms of talent evaluation and flow in high-tech industry. Exploring the incentive factors influencing the scientific and technological personnel, adjust the layout of talents and promote the rational agglomeration. It’s significant to realize the regional economic development.

This study proposes an assessment model using the multi-criteria decision-making method of analytical hierarchy process (AHP) to determine the weights of incentive factors and a nonlinear programing model, from micro, meso and macro perspectives of individual, organizational and social incentives by adopting Maslow’s hierarchy of needs theory, Kurt Lewin’s field theory and Lee’s push-pull theory. After the literature review and interviews with 14 experts, this study produced a research framework and a pairwise comparison questionnaire. In addition, the relative quantitative weights of 3 main categories and 15 indicators are identified and ranked based on the AHP method.

The results demonstrate that the most important dimension is the individual, and the top three highest weighted factors are job satisfaction, sense of working accomplishment and interpersonal relationships. The discussion in this study showed that the proposed model is rational and acceptable to motivate high-tech innovation talent (HTIT) agglomeration for high-tech enterprises, universities, government and start-ups.

The pairwise comparison using the AHP method is limited to expert opinions, which are considered comparatively subjective. The number of incentive factors should be increased, as some indicators may have been omitted from the AHP model.

According to the results, some suggestions can be recommended to corporate executives, HR managers and government officers to attract and retain high-tech talents and further to improve industrial clusters and economic development.

This paper derives a relative ranking of importance based on the opinions of experienced HR specialists, high-tech talent, scholars and government official, and assesses the consistency of results. The ordering represents the importance of indicators and sub-indicators of two levels from respondents’ perspectives in an industry cluster background. The study, focusing on the high-tech industry in China (which is a developing country), offers a unique view, as earlier studies mainly collect data from developed countries.

Although innovation ecosystems (IEs) are generally considered capable of creating shared value (SV), this potentiality has often been taken for granted and not deeply analysed, yet. As a result, in the literature, there is not a framework that defines the process of SV creation in IEs or which aspects should be considered for understanding it. Moving from these considerations, this paper aims to propose a conceptual model of how IEs can create SV, identifying the main building blocks of the process and the aspects that characterize these building blocks.

The authors reviewed the literature on IEs and value creation over the last 15 years, by structurally analysing 120 articles. On the basis of such review, the authors identified main dimensions of analysis focusing on the conceptualization of SV in IEs.

First, the authors developed a conceptual model relying on a process-based logic and framing the SV creation in terms of inputs, here intended as four key characteristics (actors, structure, governance and relations), internal processes (strategies and internal mechanisms) and outputs (the value created). Second, each element of value creation is explored, highlighting the main evidence emerging from prior studies in connection to each block.

This paper drives the identification of some relevant relationships that connect the characteristics of the IEs, the strategies and the internal mechanisms to the output of the process, i.e. the SV created.

In the rapidly changing business world, innovation plays a vital role for organizations to gain a competitive advantage. Various factors associated with technology management and innovations in organizations are diverse in the existing literature. Therefore, there is a need to bridge these gaps in the fitting proportions toward innovations within organizations. The primary objective of this study is to identify, explain and interpret the relationships between the identified technology-related factors that are important for innovations in organizations.

In this study, a modified total interpretive structural modeling (M-TISM) methodology was used to examine and analyze the various interactions between identified factors for innovations in organizations. However, the argumentation of the links is relatively weak in M-TISM. In order to compensate for this, M-TISM is additionally altered by an “Argumentation-based Modified TISM”. Hence, this research strengthens the modified TISM methodology by incorporating argumentation and total interpretation of the relationships between the identified factors.

A total of six major factors were identified using a literature review. Results suggest that workforce technical skills, technological infrastructure, technological alliances, technology transfer and top management support have an impact on innovation in organizations. Results also suggest that top management support and the technological infrastructure of an organization have a greater impact on innovation.

For policymakers and practitioners, this study provides a suggestive list of critical factors, which may help to develop policies or guidelines for improving innovation in organizations. Policymakers should focus on technological infrastructure and collaborations to enhance innovations and productions within the organizations. For academicians, this study provides a modified TISM model that shows the impact of technology-related factors on innovations. Future researchers could expand this study by adding a greater number of technological factors and validate this model in other industries.

This study fills a gap in the literature by interpreting the various relationships among the identified factors and innovations. The model has been validated through a panel of seven experts from the Indian automotive industry of multiple organizations. This study is useful in the automobile industry as it determines what and how technology-related factors affect innovations, process improvement and R&D production for organizations.

This chapter evaluates the impacts of and response measures to COVID-19 pandemic on the practice of tourism in the wildlife conservancy model in Kenya thus proposing response interventions to possible tourism crises in the future.

The study uses the qualitative exploratory experience design and collects data from purposely selected conservancies' leaders and other documented materials from two main wildlife conservancies association in Kenya.

The chapter presents findings on the impacts of the COVID-19 pandemic on wildlife conservancy-based tourism, how conservancies responded to the pandemic and conservancy leadership perspectives on how to model future tourism and related activities in the conservancies based on the lessons they have learnt from the COVID-19 experience.

With the wildlife conservancy-based tourism model in Kenya being a relatively new phenomenon, the study provides important lessons for comparison with other such initiatives in other places in the event of tourism crises in the future.

This chapter argues that better preparedness to crises and uncertainties by various tourism types and models can help mitigate against adverse effects of similar uncertainties in the future. Consequently, the findings offer a glimpse of proposals and solutions to the wildlife conservancy-based tourism models that continue to be established in Kenya and in the region.

A survey of the current state of documentation practice in museums is presented. This concentrates on the broad themes of the practice, making comparisons with analogous library procedures, where appropriate. A brief introduction to museums and their organizational framework within the United Kingdom is given. With this as background, the methods of documentation used by museums are reviewed, and a survey presented of current developments on an international and national scale.

Biomimicry is an interdisciplinary approach inspired by the living beings in nature while searching for solutions to solve mankind’s problems. This new approach emerging in the late 1990s has been quite innovative while dealing with basic problem solving processes in a business environment. Biomimicry is a creative solution for such processes as design, transformation, organization and sustainability in business enterprises. The objective of this work is to offer model samples that build a bridge between the nature and business organizations. The principles in nature offer many strategies for a sustainable business performance and thus help us maintain optimization and effectiveness in business management through cooperation.

Drawing upon Alfred Sohn-Rethel's work, we argue that, just as capitalism produces abstract labor, it coproduces both abstract mind and abstract life. Abstract mind is the split between mind and nature and between subject/observer and observed object that characterizes scientific epistemology. Abstract mind reflects an abstracted objectified world of nature as a means to be exploited. Biological life is rendered as abstract life by capitalist exploitation and by the reification and technologization of organisms by contemporary technoscience. What Alberto Toscano has called “the culture of abstraction” imposes market rationality onto nature and the living world, disrupting biotic communities and transforming organisms into what Finn Bowring calls “functional bio-machines.”

The paper aims to contribute to the Circular Economy debate from the Entrepreneurship Education perspective. Despite scholars' growing interest in both these research streams, scarce consideration is given to the comprehension of their mutual implications and meaning.

The paper is based on a cross-case analysis. It compares 16 higher education programmes launched by Universities in Europe aimed to create competences and skills for Circular Economy in students with different profiles. The analysis provides a critical view of the emerging trends for the entrepreneurship education skills and competencies needed for the emerging circular entrepreneurship paradigm.

The paper discusses the main trends of Entrepreneurship Education focused on Circular Economy debate at the European level: rationale and learning objectives (why); contents (what), target students and stakeholders (who) and the learning processes (how). Four thematic areas are identified as common patterns: circular economy business model, green supply chain management, technology entrepreneurship and innovation and public policies and institutional frameworks.

The paper sheds new light on a still under-researched area, suggesting several implications and avenues for future research in Circular Economy and Entrepreneurship Education. Limitations regard the need to analyse education programmes from a larger geographical area, to take into consideration interesting experiences in the rest of the world and to also collect quantitative data.

Practical implications arise for the development of learning initiatives for the Circular Economy: learning objectives and new thematic areas focused on circular, sustainable and innovative rethinking of the process for creating value in the incumbent companies; exploring meaning and benefits of collaborative approaches and participation in the circular economy innovation ecosystem and developing advanced models for soft-skills development in terms of leadership, motivational and creative skills.

The debate on CE can also be rooted in the paradigm of entrepreneurship as a core process to advance knowledge on valuable and sustainable innovation.