International Journal of Innovation Studies最新文献

Open innovation benefits from access to cutting-edge discoveries to increase their transformation into tangible applications for the benefit of society. Improving research quality has been proposed as a primary objective of open science by the United Nations, to increase science reproducibility, impact, and trust, leading to robust decision-making and policies. However, opening access to data and processes is insufficient for researchers to achieve open innovation in the context of globalization, for example, by gathering insights from external and internal sources. Developing the appropriate mindset to manage complexity and generate synergy among researchers in academia, industry, and the government is essential to catalyze knowledge and transform it into relevant innovations for society. To gain insights into the roles and challenges of researchers aiming to bridge the gap between open science and open innovation, a decade-plus Mapping Literature Review was conducted based on the complex thinking paradigm. Complex thinking allows for novel connections of the information collected through open science and open innovation, considering different forms of engaging with alternative means of knowledge creation that may promote innovative and critical thinking. The findings revealed: a) broad positioning of the terms in the European Union; b) open access and open data as current driving themes; c) a constant trade-off between the terms “open data” and “information protection”; d) lack of studies on researchers’ complex thinking to help them manage openness; e) absence of the environmental helix in the initiatives; and (f) challenges in innovative communication and collaborative practices among public and private entities. Overall, we identified an opportunity to develop researchers’ complex thinking such that the openness of information becomes a shared responsibility among partners across multiple helices. This shared responsibility can have methodological implications that permeate how open science and open innovation are theorized and, in practice, facilitate the development of fundamental collaborative research procedures.

In this review of ten years of social innovation research (2012–2022), we define and explore three paradigms in the field: instrumentalist, strong, and democratic. We investigate how language usage and geography play a central role in identifying which paradigms recently published scholarship falls into. While we do not insist that sharp divisions exist between each paradigm, we do find that on the “instrumentalist” side, language tends to abstract or neutralize power relations. Further, these perspectives tend to derive from Western or Eurocentric orientations or biases. The “strong” paradigm accepts the necessity of institutional and stakeholder engagement and seeks to engage socially excluded populations. In contrast, geographical diversity, attendance to historicized and systemic inequalities, and elevation of the most marginalized communities are more likely to be centered in the “democratic” paradigm. We apply this discussion to recent research in arts-related social innovation and the related field of social entrepreneurship.

The application of blockchain beyond cryptocurrencies has received increasing attention from industry and scholars alike. Given predicted looming food crises, some of the most impactful deployments of blockchains are likely to concern food supply chains. This study outlined how blockchain adoption can result in positive affordances in the food supply chain. Using Q- methodology, this study explored the current status of the agri-food supply chain and how blockchain technology could be useful in addressing existing challenges. This theorization leads to the proposition of the 3TIC value-driver framework for determining the enabling affordances of blockchain that would increase shared value for stakeholders. First, we propose a framework based on the most promising features of blockchain technology to overcome current challenges in the agri-food industry. Our value-driver framework is driven by the Q-study findings of respondents closely associated with the agri-food supply chain. This framework can provide supply chain stakeholders with a clear perception of blockchain affordances and serve as a guideline for utilizing appropriate features of technology that match organizations’ capabilities, core competencies, goals, and limitations. Therefore, it could assist top-level decision-makers in systematically evaluating parts of the organization to focus on and improve the infrastructure for successful blockchain implementation along the agri-food supply chain. We conclude by noting certain significant challenges that must be carefully addressed to successfully adopt blockchain technology.

Demand for solving systemic problems has resulted in the need for new forms of innovation. Accordingly, the concept of innovation ecosystem has emerged. Ecosystems are intrinsically more fluid than networks, which set ups the need to understand and orchestrate the internal dynamics of innovation ecosystem in order to have successful innovation outcomes. The dynamics of ecosystems, however, is not well understood. In this paper the dynamics of innovation ecosystems has been studied by applying the methodology of system dynamics. The purpose of the study is to support the creation of innovation ecosystems and the orchestration of existing ecosystems so that they could be more successful. Key factors generating dynamics in innovation ecosystems were identified. They form the elements of the system dynamics model of innovation ecosystems. The causal loop structure between the model elements indicates how the key factors of dynamics influence the outcome of ecosystem.

The fourth industrial revolution introduced the concept of Industry 4.0, which refers to the digitalization of the modern world and the inclusion of digital industry in major industrial sectors. Within this context, we investigated how Industry 4.0 technologies could transform conventional factories into smart factories and contribute to the development of a circular economy with significant economic, environmental, and social advantages. The primary goal of this study was to assess the potential of Industry 4.0 technologies in optimizing energy production from renewable resources. Specifically, we examined how various Industry 4.0 technologies, including Blockchain, the Internet of Things (IoT), and Cloud Computing, contributed to energy generation, transmission, and trade. In addition, we investigated solutions to issues such as intermittent power supply, low efficiency, grid bottleneck, wastage of excess power, and unpredictable energy markets. Furthermore, we discussed two case studies based on circular economies, sustainable development goals, and Industry 4.0-based data analysis platforms. The study concludes by discussing the challenges faced by industries in adapting to the digital revolution and the potential uses of modern-day digital technologies to advance the energy sector and society as a whole.

Innovation is often an object of study in economics and management. However, the social and behavioral aspects of innovation acceptance are as important as the economics of product development. A significant portion of the literature considers innovation as a change in the way social actions are conducted, entailing a wide range of social, economic, behavioral, and institutional changes. Various approaches have given rise to the need for a typology. Sundbo (1998) divided innovation into three groups depending on the aspects of the phenomenon: theory of entrepreneurship, technological and social aspects, and strategic aspects. Adopting Sundbo's conceptual framework, this study supplemented and developed it based on recent literature that appeared after 1998. Moreover, this study added new directions at the second level of decomposition and the relationships between different aspects of innovation. In particular, this study analyzed phenomena such as open innovation, agile innovation, and “helix” models. Thus, this study developed a novel typology of innovation that expands the theoretical knowledge in this field. Based on these findings, this study proposed promising areas for future innovation studies.

Technology transfer (TT) from universities to manufacturing firms is important for enhancing innovation performance (IP) and ultimately improving competitiveness. However, TT is hampered by bureaucracy, inertia, inefficiency, cognitive dissonance, and low research and development activity. The purpose of this study is to examine the relationship between TT from universities to manufacturing firms and their IP. This study was conducted based on Megnigbeto's (2018) triple helix game theory. A mixed-method approach was used. The independent variable was TT, measured in terms of technology spillover, networking, and the presence of accelerators and incubators within a firm's locality. The dependent variable was IP, measured through innovation output and innovation efficiency. This study used an explanatory sequential research design. The target population was manufacturing firms in Kenya, identified using a multi-stage sampling strategy. Primary data were collected using semi-structured questionnaires, interview schedules, and checklists. Linear regressions, hierarchical multiple moderated regressions, structural equation modeling, and partial least squares were used to test the hypotheses. The results indicate that TT from universities significantly influences IP in manufacturing firms. Universities are important intermediaries of TT in manufacturing firms in Kenya because of their improved IP and competitiveness. Universities should create dynamic linkages with industries and adopt an engaged learning approach in their programs to create greater and more unique values for enhanced competitiveness and sustainable development.

This study examines how internal research and development (R&D), external knowledge acquisition, and R&D contracted with other companies interact in local and foreign-owned enterprises in post-communist economies. A large sample of firm-level data from the Business Environment and Enterprise Performance Survey (BEEPS) across 26 post-communist countries (including European Union (EU) members and non-EU states of Eastern Europe, Caucasian countries, and Central Asian countries) and country-level data from the Global Innovation Index and the International Property Rights Index were used. The findings show that enterprises with majority foreign ownership are relatively more likely to acquire external R&D. We demonstrate that the R&D behavior of enterprises with majority foreign ownership and local firms are interrelated, that is, we find a synergy effect. According to the results, decisions on internal R&D and the purchase of external knowledge for enterprises with majority foreign ownership are similar to those of local firms. However, enterprises with foreign ownership contract R&D with other companies more often if local firms conduct internal R&D. These results indicate the presence of knowledge spillover and cross-learning effects in both types of enterprises in post-communist countries. Finally, we find that the national innovation environment is not significant for the R&D intensity of enterprises with majority foreign ownership, which suggests their high dependence on the parent structures of multinational enterprises.

This study aims to show how activity theory in the socio-technical systems paradigm can assist in understanding and managing system innovation. We conceptualize socio-technical systems to address societal needs as activity systems and system innovations as transformations of such systems. Transformations result from resolving contradictions that develop due to technical and social change within and between the activities carried out by various agencies to fulfill societal needs. Along this line, the explanation of system innovations focuses on identifying emerging contradictions, resolution initiatives, and their outcomes, whereas the governance of system innovations can be carried out by interactively developing policies through successive interventions to resolve contradictions. We demonstrate the employment of activity theory to understand the transformation of the recorded music socio-technical system towards streaming, as well as to facilitate the management of the transition of the olive oil-producing sector at the regional level towards a circular economy through the adoption of innovative waste-processing technology.

The banking industry has undergone significant shifts as innovations have enabled new banking services and created new customer requirements. While banks strive to incorporate innovation and change systems, they also face various obstacles. The primary aim of this qualitative exploratory case study is to determine the key perceived barriers to change and innovation in a Jordanian commercial case bank from the perspective of senior management. Nuanced interpretations were investigated, resulting in new insights that have not been previously obtained from research in this field. The analysis used a qualitative systematic approach to grounded theory articulation that inductively generated new concepts while adhering to highly rigorous standards. The methodology was based on interviews with eight senior managers. The emergent findings revealed that high bureaucracy, lack of communication, lack of employee involvement, middle managers' resistance, and risk aversion were major barriers to innovation and change. Overall, this study contributes to developing a thorough understanding of top managers' perceptions of barriers to innovation and change and offers managers and practitioners guidance on improving organizational conditions to support innovation and change in the banking industry. Finally, this study provides avenues for future research in this area.