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This paper aims to develop a causal feedback structure that explains the dynamics of entrepreneurship development in Iran’s photovoltaic (PV) technological innovation system (TIS) to design effective policy interventions for fostering PV innovation.

This study adopts the system dynamics approach to develop the causal structure model. The methodology follows a systematic method to elicit the causal structure from qualitative data gathered by interviewing several stakeholders with extensive knowledge about different aspects of Iran’s PV TIS.

Lack of technological knowledge and financial resources within Iranian PV panel-producing firms are the main barriers to entrepreneurship development in Iran’s PV TIS. This study proposes two policy enforcement mechanisms to tackle these problems. The proposed feedback mechanisms contribute to the domestic PV market size and knowledge transfer from public research organizations to the PV industry.

The proposed policy mechanisms aid Iranian policymakers in designing effective policy interventions stimulating innovation in Iran’s PV industry.

The main contributions of this study include conceptualizing the causal structure capturing entrepreneurship dynamics in emerging PV TIS and proposing policy mechanisms fostering entrepreneurship and innovation in PV sectors.

Innovation dynamics have been the object of study of several researchers, focusing in particular on technological innovation and the emergence of a dominant design. However, these models have been challenged by how the pervasiveness of digital technologies is speeding up the pace at which innovation evolves. On the other hand, a growing body of literature in innovation management has started underlining the relevance of new product and service meanings as a source of innovation.

This research aims to study the different innovation dynamics within an industry, investigating not only how companies react to fast-changing functional advancements but rather how their behavior changes as shifts in meaning occur. To properly assess the phenomenon, this longitudinal study analyzes the social media industry, strongly subjected to continuous functional advancements, through a deep dive in the 160 innovations introduced between 2003 and 2017 by the eight leading players in the industry.

Our results illustrate the co-existence of different approaches to innovation within an industry and hint that consequent and fast cycles of innovation in both functionalities and meanings discourage the emergence of a dominant design.

Our results help managers and innovators acknowledge the possibility to leverage not just on the technological dimension of innovation but also the reason why people use a given product or service, innovating its meaning. Furthermore, our results recognize the co-existence of different innovation streams upon which innovators can act.

This research contributes to the extant literature in innovation management, extending the classical models of innovation dynamics by including the evolution of innovations of meaning in relation to technological innovation.

The environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.

Using a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.

A broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.

Firms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.

This study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

This study aims to test a theoretical model of co-creation dynamics, service innovation and competitive advantage. The authors explore the dynamics of collaboration between travel agents and their suppliers in co-creating value for their customers. A research model is proposed to examine the relationship among six co-creation elements (co-creation dynamics), service innovation, competitive advantage and two antecedents: technology adoption and environmental change and the moderating effects of trust.

An empirical survey was performed based on travel agencies in Taiwan and Malaysia. A total of 105 valid responses from Taiwan and 102 valid responses from Malaysia were received. SPSS and partial least square were used to analyze the data.

A new six-element construct of co-creation dynamics was suggested. All the proposed effects were found significant in which trust enhanced the effect of elements of innovation for Taiwan travel agencies. However, in contrast to the proposed hypotheses, technology adoption had no direct effect, whereas trust had no moderating effect for Malaysia travel agencies.

This study suggests that managers should include co-creation approaches with partners and customers while developing new services. The identification of areas that may be lacking can allow managers to develop capabilities to improve business co-creation competency.

This study links the relational view with service-dominant logic that emphasizes business co-creation and service innovation as operant resources and a key fundamental source for competitive advantage. This study also looks at interpreting business co-creation and discusses whether business co-creation affects service innovation in the hospitality and tourism industry.

The purpose of this paper is to analyze the dynamics of the triple helix model in less favoured regions, examining the role of three spheres: universities, firms, and government. The paper identifies profiles of behavior in terms of triple helix model performance from the firm's perspective and recognizes key factors for successful innovation dynamics in a less favored region of Portugal.

A brief bibliographic revision regarding development of the triple helix model in the innovation process is followed by a description of the role of the helixes and the presentation of a model, after which the hypotheses are defined for testing. The methodology consists of a survey involving companies in a less favored region of Portugal and the application of multivariate statistical analysis “k‐means clusters” to detect behavioral patterns in terms of performance and dynamics of the triple helix model from the firm's viewpoint. In order to verify the hypotheses, tests of multiple average differences are used to assess the unique characteristics of each cluster and the independent test of Chi‐square.

The results point to the existence of a positive relationship between the dynamics of the triple helix model in terms of different types and objectives to innovate, namely, in regards to introducing new products as well as ecological innovation and their efforts to improve communications relative to the obstacles to innovate – explicitly, the lack of information and geographical location, the companies' innovation performance, and the level of cooperation and interaction with the university producing benefits for them in obtaining additional financial resources and prestige for the researcher, as well as by obtaining information for the education process.

The paper contributes to a greater theoretical understanding of the variables influencing implementation of the triple helix model in less favoured regions. It reveals conditions associated with a more active and proactive stance and consequently better innovation dynamics and regional attractiveness.

The purpose of this paper is to propose a new statistical approach to evaluate complex open innovation projects on a quantitative basis. In certain circumstances, open innovation entails a radical change of policy that involves various different functions of a company such as R&D, production, and management over a period of years and gives rise to mechanisms of mutual interaction with several business partners, such as collaboration with other companies, universities and R&D institutions, and new suppliers. Then, the question arises of how to measure the impact of such complex open innovation processes on the overall performances of companies.

A holistic case study is applied to analyze the effect of open innovation projects on a corporate company’s stock price dynamics. The scope is to identify two different scenarios pre- and post-adoption of an open innovation model by a multinational company, Fujifilm. In particular, a stochastic model, namely the log-normal model, is applied along with three statistical tests: Kolmogorov-Smirnov, Cramer von Mises, and F-test for equal variances, in order to verify if the adoption of an open innovation model causes any significant change in the stock price dynamics of the corporate company.

From the findings emerges evidence that open innovation projects have a moderate effect on Fujifilm’s stock price dynamics, but a greater improvement of the perception of Fujifilm’s stock value. This enhances the management and financial literature review by offering a novel, empirical perspective on the effect of the adoption of an open innovation model on a corporate company’s stock price dynamics.

This research is limited to a single case study, but it can be extended to other stock market companies and therefore improve on the present study.

An original application of Kolmogorov-Smirnov tests to detect and measure the differences between the two regimes of pre-open innovation and post-innovation regimes.

This study aims to explore the patterns and transformational dynamics of the executive–interpreter network in the innovation processes of small- and medium-sized enterprises in hospitality.

Grounded in social network theory and adopting a case-based approach, this study features a multi-case design focusing on three Chinese boutique hotels. Data were collected through Web page and document reviews, participant observations and semistructured interviews.

Results capture how executive–interpreter network dynamics contribute to innovation in small- and medium-sized hotels. Key factors in social networks (e.g. size, scope and strength) shift throughout innovation. This study presents a design-driven approach as a means of innovation. Findings also delineate the network development conditions under which innovation dynamically occurs in boutique hotels.

Practical implications center on how network dynamics help small- and medium-sized hotels innovate more effectively. These insights can assist hotel operators and prospective market entrants in improving their hotels’ performance and competitiveness.

This study blends social network theory with a design-driven approach to explore innovation mechanisms in small- and medium-sized hotels. It offers empirical evidence for practitioners regarding design-driven innovation. Findings enrich the body of knowledge on both design-driven innovation theory and hospitality innovation.

The research question is how can a company implement a circular innovation in a supply network context? Leveraging the main conceptual and interpretative models of the industrial marketing and purchasing thinking, this study aims to investigate the interplay between the process of circular innovation development and the changes in the structure and dynamics of the supply network in which innovation takes place.

This research applies a case study design focusing on participant interaction dynamics. The case relates to an industrial company producing an innovative coating solution for compostable packaging. The data used to develop the case study came from multiple sources but primarily from semistructured interviews that cover the implementation of the circular innovation and the configuration of the circular network.

The dynamics of interconnected relationships can configure a circular network that interconnects business and non business actors through vertical, horizontal and heterogeneous relationships. The network configuration is supported by the new mobilizer actor that facilitates the sharing of circular knowledge within the circular network, together with the sharing of a market orientation and entrepreneurial orientation within the supply network, through the educational learning path.

This paper aims to contribute to a new understanding of how circular innovation can be developed, adopted and diffused. In a network, when circular innovation takes place, the focal issue is not the new product or technology in itself but how such innovation is developed and implemented by and through the reconfiguration of the business and non-business relationships into circular network.

The purpose of this paper is to explore how a complexity informed understanding of Indigenous–settler relationships helps people to better understand Indigenous social innovation. To do this, this paper uses the attractor concept from complexity thinking to explore both the history and possible futures of Indigenous Maori social innovation as shaped by Te Tiriti o Waitangi/Treaty of Waitangi.

This paper frames Te Tiriti as a structural attractor for social innovation in Aotearoa-New Zealand and explores the dynamics at play in the social and economic activities related to Te Tiriti and the ongoing settlement process in Aotearoa-New Zealand. This paper outlines this as an illustrative case study detailing the relevant contextual spaces and dynamics that interact and the emergence of social innovation.

This paper suggests that the convergent, divergent and unifying dynamics present in a structural attractor provide a useful framework for building ongoing engagement between Indigenous and non-Indigenous people whereby Indigenous worldviews are given space to be articulated and valued.

In spite of the increase in research into social innovation, including in Indigenous contexts, the “context” of “postcolonial” context remains under-theorised and people’s understanding of the power dynamics at play here limits the understanding of how the mechanisms of Indigenous–settler partnerships structure social innovation and its impact.

The purpose of this paper is to focus on the influence of national cultural dimensions on the evolution of national innovation adoption over time. The paper considers the moderating effects of national wealth, population density and illiteracy rate on the role of cultural dimensions in the timing of innovation takeoff in national markets.

The empirical study investigates 137 national innovation adoption time series; the dependent variable being the time it takes for innovation adoption to take off. The independent variables are Hofstede's five cultural dimensions and the moderating variables are gross domestic product (GDP), population density and illiteracy rate.

The outcome of the study shows that cultural dimensions have a greater influence on takeoff time in countries with highly developed economies, dense populations and low illiteracy rates. The study also shows that especially the cultural dimension of individualism has a significant context independent influence on takeoff dynamics, whereas masculinity has no such effect.

The paper provides evidence that the influence of cultural dimensions may be more complex than previously believed. Contribution of the research to the academic community especially lies in results regarding moderation effect of GDP, population density and illiteracy. Other independent and moderating variables could provide useful subjects for further research.

The results of this study could assist companies conducting business in cross‐national settings in planning their international operations in such areas as designing marketing promotions and deciding the entry order into national markets. Especially, useful the results are in pre‐takeoff phase of the evolution of innovation adoption.

The paper extends our understanding of the relationship between the national cultural dimensions and the early evolution of innovation adoption. Incomplete understanding of the cross‐national dynamics of the innovation adoption takeoff is scrutinized and the findings support earlier research that cultural dimensions affect adoption dynamics. The study demonstrates that the influence of cultural dimensions may be dependent on and moderated by other national attributes.