Innovation Regimes Research Articles

Sustainable Collaboration and Incentive Policies for the Integration of Professional Education and Innovation and Entrepreneurship Education (IPEIEE)

The Integration of Professional Education and Innovation and Entrepreneurship Education (IPEIEE) has been recognized as an important direction for the development of higher education in enhancing the innovation and entrepreneurship awareness and ability of college students. However, universities and teachers are facing challenges while promoting IPEIEE, namely, various stakeholders, the unreasonable design of the curriculum system, and the lack of relevant incentive policies. In addition, IPEIEE in many universities has been placed on hold. Few studies have examined the innovation regime in IPEIEE, despite it being a dilemma that the field confronts. Thus, taking into account the roles of universities, teachers, and students in the evolutionary game model, this paper firstly constructs an evolutionary game model for teachers and students, in which the costs and parameters affecting the benefit matrix, as well as the stability strategy, are refined. Secondly, the behavior of universities is introduced to examine the effects of universities on strategic choices of teachers and students. Finally, a mechanism analysis is conducted in combination with the principal–agent model to gain a deeper understanding of the evolutionary stability of stakeholder strategies in the IPEIEE. The findings emphasize potential Evolutionary Stable Strategies (ESS) that universities, as promoters and guides, should take as measures concerning both economic encouragement and management encouragement to promote IPEIEE, so as that the ‘ideal state’ can be achieved. Furthermore, if specific incentives for different stakeholders are proposed and set at an appropriate intensity, this will encourage active cooperation among these stakeholders. This paper explores the evolution mechanism of innovation strategies in IPEIEE from the perspective of stakeholders, offering a better comprehension of the dynamic evolution of these strategies. The key findings also offer support for policymakers to promote the mutual development of agents in the IPEIEE, thus enhancing the overall sustainable collaborative capability of the IPEIEE.

How global and national institutions interactively shape firms’ commitment to innovation regimes in latecomer countries

We investigate how the duality of innovation regimes in latecomer countries is institutionally shaped. We first specify the firm-level mechanism of commitment to both knowledge use and knowledge generation regimes with reference to the allocation of government grants across investments in machinery and equipment, and in research and development. Then, we theorize the interactive effects of global and national institutional systems on firms’ commitment to these innovation regimes. Our analysis of firm-level data from 16 latecomer countries classified as either hierarchical or collaborative national institutional systems indicates that, although firms are committed to both innovation regimes, the effect of global cultural rationalization steers firms toward the knowledge generation regime and away from the knowledge use regime. However, this movement away from the knowledge use regime due to rationalization is weaker in hierarchical systems. We contribute to the innovation regime literature by elucidating the firm-level duality in innovation regimes subject to global and national institutional effects.

EXPLORING ENTREPRENEURIAL UNIVERSITIES: A BIBLIOMETRIC ANALYSIS IN THE BUSINESS AND MANAGEMENT FIELDS

The following paper features a comprehensive bibliometric analysis of the available literature concerning entrepreneurial universities in the business and management fields. Through scientific databases of Web of Science, 511 papers were ensured and systematically compiled using Bibliometrix-an RStudio package for performance analytics and Science Mapping. It reveals the history of contributing authors, institutions, themes, and geographic focus of articles, published in the field of entrepreneurial universities. The findings show that the topic in question has been gaining more and more attention in recent decades and more publications have been increasingly produced. It revealed renowned writers including Henry Etzkowitz, Loet Leydesdorff, David Audretsch, and distinguished universities including Stanford University, Massachusetts Institute of Technology, and University of Cambridge. Qualitative content analysis identifies several broad research themes, such as university business relations, technology transfer and commercialization, entrepreneurship teaching, and policy. In addition, they emphasize the global significance of entrepreneurial universities based on the contributions of researchers and institutions from around the world. As demonstrated by the United States and Europe being the most productive and relevant regions, it is also imperative that the Asia-Pacific, Latin America, and Africa also offer impressive entrepreneurial output contributing to innovation and economic growth in various geographical environments. Consequently, the results of this study hold important implications for policymakers, educators, and practice in the areas of higher education and entrepreneurship. Policy makers can employ them to formulate better policies and frameworks that will be helpful for entrepreneurial universities and the development of innovation regimes. They can utilise the findings to enhance the curriculum and the programs which could foster the entrepreneurial disposition and skills among students. The study findings will be useful to practitioners such as university administrators and leaders from other sectors to understand and address the drivers of entrepreneurship and technology transfer. In sum, this research serves to extend the body of knowledge and guide policy/ practice in the area of entrepreneurial universities.

Stereotactic Body Radiotherapy (SBRT) to Localised Prostate Cancer in the Era of MRI-Guided Adaptive Radiotherapy: Doses Delivered in the HERMES Trial Comparing Two- and Five-Fraction Treatments.

HERMES is a phase II trial of MRI-guided daily-adaptive radiotherapy (MRIgART) randomising men with localised prostate cancer to either 2-fractions of SBRT with a boost to the tumour or 5-fraction SBRT. In the context of this highly innovative regime the dose delivered must be carefully considered. The first ten patients recruited to HERMES were analysed in order to establish the dose received by the targets and organs at risk (OARS) in the context of intrafraction motion. A regression analysis was performed to measure how the volume of air within the rectum might further impact rectal dose secondary to the electron return effect (ERE). One hundred percent of CTV target objectives were achieved on the MRI taken prior to beam-on-time. The post-delivery MRI showed that high-dose CTV coverage was achieved in 90% of sub-fractions (each fraction is delivered in two sub-fractions) in the 2-fraction cohort and in 88% of fractions the 5-fraction cohort. Rectal D1 cm3 was the most exceeded constraint; three patients exceeded the D1 cm3 < 20.8 Gy in the 2-fraction cohort and one patient exceeded the D1 cm3 < 36 Gy in the 5-fraction cohort. The volume of rectal gas within 1 cm of the prostate was directly proportional to the increase in rectal D1 cm3, with a strong (R = 0.69) and very strong (R = 0.90) correlation in the 2-fraction and 5-fraction cohort respectively. Dose delivery specified in HERMES is feasible, although for some patients delivered doses to both target and OARs may vary from those planned.

Flexible labor, innovation regimes and the erosion of the Japanese model: Evidence from the Basic Survey on Wage Structure

Due to labor market reforms around 2003–4, Japan has a growing group of ‘non-regular’ workers who are easy to fire, and have poor carrier perspectives. This marks a break with the traditional Japanese model of life-time employment that allowed for intensive in-company training and commitment of personnel. Drawing from a national wage structure survey, we find indications that employment of non-regular workers has a negative impact on productivity (proxied by wages), this negative impact being largest under innovation regimes that require a high cumulativeness of knowledge. Our findings are consistent with neo-Schumpeterian research in Europe which concluded that certain labor market rigidities, while being undesirable from a neoclassical perspective, can be useful to innovation. Our paper confirms the impression from earlier research that structural reforms of labor markets along supply-side lines are likely to be one of the reasons for a substantial decline of productivity growth in major OECD countries since about 2004/05.

Open Innovation in Schools: A New Imperative for Organising Innovation in Education?

Schools are considered knowledge-creating organisations that find it difficult to develop and implement innovations on their own. Knowledge mobilisation is seen as the key to overcoming this problem. In particular, the use of external sources of knowledge is regarded as an important lever for change. However, there is a lack of concepts and empirical studies in educational research on the extent to which external knowledge is used for innovation in schools. Based on a sample of N = 411 schools, this article explores whether the concept of open innovation can be used in the context of education. Originating from the field of innovation research, open innovation regimes are seen as imperative if organisations are to create and benefit from technology. Multinomial logistic regression analyses show that mobilising external knowledge significantly increases the likelihood of implementing innovations in schools. A machine-learning approach reveals that it is necessary to tailor open innovation regimes to the specific conditions of any given school. In particular, with regard to the use of new technologies and innovations in the field of digitalisation, open innovation can be a lever for change.

Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes

New digital technologies help to curtail those that are carbon intensive but are accompanied by CO2 emissions due to their own energy demand. Whether digitalization relates to increased or decreased carbon emissions may depend on the sophistication of an economy's research and development (R&D) output. This study explores the R&D-induced regime transition that governs the relationship between digitalization and CO2 emissions. The study seeks evidence of the environmental Kuznets curve hypothesis and tests it with a panel smooth transition regression (PSTR). Employing this estimator with two R&D output regimes makes it possible to account for year- and country-varying effects of digitalization, human capital, and country income level on CO2 emission. The research covers 55 high- and middle-income economies from 1996 to 2019. The paper finds that the transition process is driven by R&D output level – measured in technology patents per country inhabitants. The findings support the environmental Kuznets curve hypothesis and confirm that CO2 emissions have an inverted U-shaped relationship with digitalization and income level. This nonlinear relationship transitions smoothly in the exogenous R&D output level. The digitalization indicator in the lower R&D regime has a significant point estimate of 0.07; in the higher regime, the estimate is −0.14. The R&D output threshold at which the transition function switches between the two regimes corresponds to a level of 39.9 technology patents per million inhabitants.

“Should We Stay or Should We Go now?”

In this paper we focus on a special feature of science and technology studies: the trajectories of our engagement with ‘emerging technosciences’. Many of us entertain close links to a particular group of scientists; our scholarly careers and identities build around thematic specialisations, trans-field collaborations and convivialities. But more often than not, such engagement does not last a whole career. With every new technoscientific hype, scholars are pressed to ‘move on’, to disengage from one field and re-engage with another. It thus seems warranted to explicitly reflect on the temporal patterns of dis/engagement and to look at possible ramifications for individuals, collectives, and the innovation system at large. To inform such reflection, we opted for a mixed-methods approach, tracing patterns and moments of dis/engagement across various disciplines based on scientometric analysis, individual archaeologies of engagement, a qualitative survey, and a focused discussion among fellow scholars from the social sciences and humanities as well as the sciences. Our analysis brings distinct dis/engagement patterns to the fore, relating to disciplinary affiliations as well as career stages. In our conclusion, we discuss the relevance of these findings for science and technology studies scholars and technoscientists as well as for contemporary innovation regimes more generally.

Robots, skills and temporary jobs: evidence from six European countries

ABSTRACT In our analysis of the impact of robot adoption on the use of flexible contracts in six European countries, we find that control for the type of innovation model that is dominant in an industry is crucial. In a ‘high knowledge cumulativeness’ innovation regime, robot adoption reduces the probability that high-skilled workers will receive temporary contracts, while no significant effect has been found for medium- and low-skilled workers. The rationale is: In a high cumulativeness regime, innovation depends on a firm’s internal knowledge sources, and high-skilled (rather than medium- and low-skilled) workers are crucial carriers of knowledge. The situation is different in ‘low-cumulativeness’ regimes. In the latter, firms are primarily using externally acquired knowledge in their innovation process. This makes workers more easily interchangeable and robot adoption significantly increases the probability to get temporary jobs for both medium- and high-skilled workers, but leaves low-skilled workers unaffected.

Analyzing antifragility among smallholder farmers in Bihar, India: An assessment of farmers’ vulnerability and the strengths of positive deviants

Summary Farmers around the world are increasingly vulnerable: climate variability is identified as the primary stressor, but unfavorable biophysical circumstances and disturbances in the socioeconomic domain (labor dynamics and price volatility) also affect farm management and production. To deal with these disturbances, adaptations are recognized as essential. Antifragility acknowledges that adaptations and volatility are inherent characteristics of complex systems and abandons the idea of returning to the pre-disturbance system state. Instead, antifragility recognizes that disturbances can trigger reorganization, enabling selection and removal of weaker system features and allowing the system to evolve toward a better state. In this study, we assessed the vulnerability of different types of smallholder farms in Bihar, India, and explored the scope for more antifragile farming systems that can ‘bounce back better’ after disturbances. Accumulation of stocks, creation of optionality (i.e., having multiple options for innovation) and strengthening of farmer autonomy were identified as criteria for antifragility. We had focus group discussions with in total 92 farmers and found that most expressed themselves to be vulnerable: they experienced challenges but had limited adaptive capacity to change their situation. They mostly made short-term decisions to cope with or mitigate urgent challenges but did not engage in strategic planning driven by longer-term objectives. Instead, they waited for governmental support to improve their livelihoods. Despite being confronted with similar challenges, four positive deviant farmers showed to be more antifragile: their diverse farming systems were abundant in stocks and optionality, and the farmers were distinguished in terms of their autonomy, competence, and connectedness to peers, the community, and markets. To support antifragility among regular farmers, adaptations at policy level may be required, for example, by shifting from a top-down toward a bottom-up adaptation and innovation regime where initiative and cooperation are encouraged. With a more autonomous orientation, farmers’ intrinsic motivation is expected to increase, enabling transitions at the farm level. In this way, connected systems can be developed which are socioeconomically and biophysically adaptive. When practices, knowledge, and skills are continuously developed, an antifragile system with ample stocks and optionality may evolve over time.

Enhancement of mechanical properties of concrete with treated demolition waste aggregate

The utilization of recycled aggregate (RA) from the construction and demolition waste (C&DW) in civil engineering applications, has proven to be an eco-efficient environmentally friendly approach to overcome the current environmental concerns. Nevertheless, the poor quality of RA has limited its utilization in high-grade civil engineering applications. To maximize and promote the use of RA, it is essential that an appropriate process of treatment methods is included in the production of RA to improve its properties. This research aimed to examine the effects of various enhancement methods on the mechanical properties (consistency, compressive strength, flexural strength, tensile splitting strength, and elastic modulus) of recycled aggregate concrete (RAC). This research also included microstructure investigation using Scan Electron Microscopy (SEM) images. The enhancement methods used were treating RA by Soaking in Cement-Pulverized Fuel Ash-Silica Fume solution (SCP), Sand Envelope Mixing Approach (SE), and their combination (SCP + SE). The enhanced RACs showed an increased 28-day compressive strength of up to 46 MPa suitable for structural applications. The tensile splitting strength, flexural strength, and modulus elasticity values of the enhanced RACs were 10%, 16%, and 6% higher than that of the untreated RAC. The improved mechanical performance of the enhanced RAC was attributed to the strengthened interfacial transition zone, better overall interlocking of the treated RA with the new cement paste, filled-up pores and micro-cracks, reduced water absorption, and improved aggregate impact value. The SEM images for the enhanced RACs showed better-compacted microstructure, lesser pores and microcracks. The application of the proposed innovative regime of enhancement methods is anticipated to promote the use of RA in the construction industry and provide a better scientific understanding of the performance of concrete produced with 100% treated RA from the C&DW for structural applications.

KEY INDICATORS OF INNOVATION PERFORMANCE: PERCEPTION OF SIGNIFICANCE AND PRACTICAL APPLICATION

This paper is devoted to the study of the correlation between the perceived significance of indicators of innovation activity and their actual use at enterprises of the Russian manufacturing industry. A sample of 132 manufacturing enterprises in Russia was used for the analysis. It was found that the recognition of the significance and the actual use of financial and non-financial indicators varies significantly depending on the affiliation of companies to a particular innovation regime: radical innovators, technological innovators, effective producers, creators of value innovations and imitators. Three key performance indicators (KPIs) reflecting the company's focus on the introduction of technological innovations (the share of modern equipment in the company's technology park (taking into account the technological features of industries); the average time to adapt the acquired innovative product, days; the share of implemented patents from the total number of patents received by the organization) were recognized as important managers of companies belonging to technological and radical innovators (74.5, 76.9, 78.1%, respectively). Three key performance indicators reflecting customer orientation (the number of new categories of products or services introduced in the reporting year; the share of products certified according to international standards in the total production of the company; the percentage of innovative expenditures on the modernization of existing products/processes/business models in relation to the total innovative expenditures on products/processes/business models) were recognized as important companies classified as effective producers and creators of value innovations (83.4, 81.9, 76.8%, respectively).But at the same time, the study showed that the most commonly used indicators are sales growth from new products (88.7%); the share of patents implemented (74.3%); total R&amp;D expenses per 1 thousand dollars of revenue in the current reporting period (89.2%). In summary, conclusions are drawn about the actual application of key performance indicators of innovation activity by companies.

The coevolution mechanism of stakeholder strategies in the recycled resources industry innovation ecosystem: the view of evolutionary game theory

The recycled resources industry (RRI) is considered one of the pillars for sustainable development. Few studies to date have evaluated the innovation regime in RRI, although it is one of the dilemmas that RRI is facing. Therefore, including “Government,” “Enterprise,” and “University-Research institute” in the evolutionary game model, this paper draws on innovation ecosystem theory and conducts a mechanism analysis to clarify the evolutionary stability of stakeholder strategies in the RRI. The findings highlight six potential Evolutionary Stable Strategies (ESS), with which the ‘ideal state’ can be achieved. Moreover, with and without the subsidy policy, the strategic choices of players are differently interdependent, the divergent factors and the influencing mechanisms to the main stakeholders are identified, and the transmission effect of the influence is found. What's more, a subsidy policy would promote active cooperation between these stakeholders when the subsidy quota is within an appropriate range. This paper unpacks the evolution mechanism black box from the stakeholders’ perspective, which provides a clearer understanding of the evolutionary dynamics of industrial innovation ecosystems. The critical findings also provide evidence for policymakers to facilitate the coevolution of the agents in the innovation ecosystem, thereby improving the overall innovation ability of the RRI.

FDI spillover effects on innovation activities of knowledge using and knowledge creating firms: Evidence from an emerging economy

The beneficial effects of innovation for firm performance and competitiveness are well established but it has been suggested in recent years that innovation regimes differ between advanced and emerging economies. While advanced economies rely on knowledge generation, their emerging counterparts follow mainly knowledge use regime through the application of existing knowledge and technology. Climbing up the technological ladder can be helped through spillovers from foreign investors to local firms. We investigate whether FDI spillovers influence different phases of innovation process (from decision to innovate to productivity) among knowledge using and knowledge creating firms in an emerging European economy. The results show that innovation process in emerging economies is closer to imitation than creation of novel products. Local firms benefit from foreign counterparts in the early phase of innovation process. Stronger FDI effects are found on firms that undertake innovation through knowledge use than through knowledge generation.

Legal Models and Methods of Western Colonisation of the South Pacific

Abstract This article addresses the legal models and methods used by the Western powers to colonise the South Pacific. It first focuses on the informal empire in the last third of the nineteenth century and up to World War I. This is the period in which control is gained by the Western powers but responsibility averted since in most cases sovereignty over the territories concerned is not yet acquired. The legal models established for gaining control – culminating notably in the creation of colonial protectorates and only later annexation – were to some extent the same as those established elsewhere in the globe. But the legal methods used by the British (for whom the Empire had become an ‘intolerable nuisance’) and to a lesser extent the United States (ideologically averse to colonisation) in order to establish initial control, stand out because of the way that each projected their municipal laws; in the case of the British with the humanitarian purpose of ending human trafficking. The second focus of this article is on the more innovative regimes used to colonise the Pacific island territories in the late nineteenth and early twentieth century, more specifically those involving joint governance. The condominium emerges as a model of choice to manage disputes between the powers and its use was principally to address their geo-strategic concerns both in the region and globally. Entrenching earlier trends, a tradition of joint governance would later continue into the twentieth century with remarkable similarities to what preceded it. This article serves as a reminder of the subtle and complex ways in which the law can be instrumentalised to give effect to colonisation. It is timely given the increasing concern today over foreign interference in the South Pacific.

Mathematical and Analytical Evaluation of Paste Products Quality

Topicality. In modern conditions, the society feels a growing demand in products made from natural ingredients of high nutritional value. Such products include meat pastes, the quality of which depends on their recipe, technological processes, equipment, and modes of its operation. With the implementation of innovative technological regimes and new equipment, there is a necessity to determine and prognosticate the quality of food products at all stages of their production and sale. According to the mentioned above, as well as economic feasibility of using automated systems for technological processes management, there is a need to elaborate a new mathematical and analytical approach to assessing and prognosticating changes in the quality of meat paste with various additives. Aim and research methods. The aim of this research is to elaborate a method for modeling the material system state, based on differential equations of kinetics of biochemical processes, assessment, and prognostication of food quality. Research methods. The method of mathematical and analytical evaluation of the paste products quality is grounded on modified mathematical models, differential equations, visualisation of research results in the form of 3D graphs, obtained by using symbolic computer mathematics. The quality of new meat paste products is compared with the quality of the paste, which is assumed to be relatively optimal according to the main organoleptic parameters of sensory quality assessment and control sample. The control sample of the paste is cooked according to the classical technology, and the recipe (GSTU 4424:2005). The prototype samples are cooked according to the innovative technology, which involves adding mechanically deboned poultry meat to the main raw material. Results. New results of analytical and experimental studies of the quality of meat paste products, cooked according to the classic recipe with the use of mechanically deboned poultry meat, are offered. The method for determining the coefficients, included in the mathematical model for assessing the meat paste products quality, their analytical relation with the optimization parameter, is elaborated. The expediency of using modern methods of symbolic computer mathematics for solving and analysing differential equations, presenting results in 3D graphs, is proved. The conducted research makes it possible to prognosticate the quality of food products, to control possible changes in their recipe while using various additives, to carry out elaborating new paste products. Conclusions and discussion. Based on the results of theoretical and experimental studies, a new mathematical model for estimating the quality of meat paste products in the form of the first-order differential equation, is offered. Its analogue is the equations, recommended for modeling the processes of biochemical kinetics. It is proved that the computer programme of mathematical and analytical research and prognostication the foodstuff quality (Goots et al., 2018) is universal. The offered mathematical model makes it possible to envision the quality of meat paste products, based on organoleptic evaluation. With its help, it becomes possible to determine the vector of possible changes in product quality and its optimisation, while elaborating the 3D graph. Mathematical and analytical assessment of the new paste products quality highlights that the partial replacement of the main meat raw by mechanically deboned poultry meat, and in pastes, made according to classical technology and the GSTU recipe (4424:2005), does not really reduce the parameters of organoleptic evaluation. In some cases, they are even higher than in the control paste samples, and very close to optimal ones. This new mathematical and analytical approach to assessing the paste products quality is promising in new culinary products elaboration in the restaurant business.

Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning

Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and psychological backgrounds of individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia.

The role of niche and regime intermediaries in building partnerships for urban transitions towards sustainability

ABSTRACT The recent literature on intermediaries in urban sustainability transitions has studied their role as a translator between innovative niches and incumbent regimes. In urban sustainability transitions, intermediaries from both civil society and public institutions seek to bridge diverging world views and communicate innovative lessons learned back to the incumbent regime. How these intermediaries are embedded in local governance contexts and how the political dynamics inherent to urban sustainability transitions play out remains a research gap. As these transitions require political consensus-building, we explore the interaction between Transition Town Initiatives (TTIs) as niche intermediaries seeking to transform society from below, and regime-based transition intermediaries operating from above. In a comparative study of four German cities, we analyse why and how niche and regime intermediaries build partnerships for urban transitions towards sustainability. While Transition Town Hannover and Bluepingu in Nuremberg have successfully established partnerships with the municipalities, Transition Town Göttingen and Transition Town Kassel have struggled in their efforts to do so. These differences can be explained by the interactions between structural conditions, political priorities and institution-building, as well as the proficiency of transition intermediaries.

Which innovation regime for public service innovation networks for social innovation (PSINSIs)? Lessons from a European cases database

This article is devoted to “public service innovation networks for social innovations” (PSINSIs) – collaborative systems that are being established, within public services, to design and implement social innovations. Drawing on a database of 24 case studies collected in different European countries and different areas of wicked social problems, this article aims to discuss how PSINSIs fit into the entrepreneurial and routinized innovation and learning regimes described by evolutionary economics. It highlights the diverse variations of these general regimes, bringing to the fore different forms of social entrepreneurship (bricoleurs, constructionists and engineers) and different configurations of the routinized regime (organizational entrepreneurship, canonical, intrapreneurial, extrapreneurial, spin-off). It also highlights the relationships between these two regimes and their various configurations. Overall, this article contributes to the shift “from visible innovation to dark innovation” in innovation studies called for by Martin (2016).

Innovation logics in the digital era: a systemic review of the emerging digital innovation regime

ABSTRACT This essay reviews the ontological status of digital material in industrial operations and conditions it provides for innovation. It recognises the semiotic quality of digital material and the critical role of von Neumann architecture as to show that digital innovation advances through a three pronged, largely orthogonal process of embedding- a process of interlacing elements of one innovation domain to that of another. Three types of embedding define digital innovation: operational embedding (code-computer), virtual embedding (real-world phenomena-code) and contextual embedding (performing code-social setting). Each constitutes a ‘leverage point’ for further expanding digital innovation and they interact dynamically while industrial innovation is defined by a static virtual and contextual embedding. The processes that underlie innovation in the two regimes follow differential logics. In industrial regime (1) discover-synthesise and (2) manufacture-distribute activities combine to form the leverage points for innovation. In digital regime 1) discover product or behaviour (ideation); 2) abstract to digital material (virtualise); 3) Implement and replicate digital material (variations in operational/contextual embedding); and 4) Deliver product and/or behaviour (perform digital material) activities form the leverage points for innovation enabling wider, open, and faster innovation with a distinct value logic.