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Studies on China suggest that institutional environment plays a significant role in business activities; however, the issue of how firms attend to institutional environment is largely under-explored. This paper responds to the oversight by examining the potential ways in which firms can demonstrate heterogeneity in terms of vigilance to government policy. Drawing from the attention-based view of firms and the institutional logic perspective, the authors aim to propose that firms with market logic or non-market logic will show difference in vulnerability to policy change. Further, firm ownership type and policy-leveraging capability would moderate the relationship between institutional logic and attention to policy environment.

The empirical background of this study is based on Chinese pharmaceutical firms. The new reform on health-care system launched by Chinese government in 2009 provides a fertile context to observe firms’ attention to government policy. The hypotheses are tested by using data of 145 Chinese pharmaceutical public firms from 2009 to 2013.

The results generally support the hypotheses: market logic has a positive effect on attention to policy, whereas non-market logic has a negative effect. The impact of market logic is weakened when firms have a higher policy-leveraging capability (in terms of getting government subsidies); the non-market logic effect is strengthened both when firms are state-owned enterprises and have a higher policy-leveraging capability.

Instead of focusing on how institutional environment have an influence on firm behavior as previous studies do, this paper examines the interaction between institution and firms by exploring how firms pay attention to government policy. Under the context of China, this study sheds light on how institutional logic plays a role in determining cognitive resource allocation of firms.

This study aims to examine the impact of regulatory, normative and cultural cognitive institutions and firm and individual factors on entrepreneurial behavior.

Using the quantitative research method, the authors collected data from 316 micro, small and medium enterprises (MSMEs) in Kosovo, a transition economy, through a cross-sectional research design. The authors performed exploratory factor analyses, correlation and regression analyses on the data using SPSS 26 and STATA software.

The research findings indicate that, within transition economies, normative and cultural-cognitive institutions have a positive impact on entrepreneurial behaviors. The authors could not determine the effect of regulatory institutions on entrepreneurial behavior. The authors also discovered that young firms are more inclined toward entrepreneurial behavior than older firms, and micro firms display a stronger entrepreneurial behavior than small firms. Furthermore, family businesses showed a greater tendency for entrepreneurial behavior than nonfamily firms. Interestingly, when the rational decision-making interacts with regulatory institutions, the effect on entrepreneurial behavior is negative.

This study employed a cross-sectional approach to investigate the influence of macro, meso, and micro-level factors on entrepreneurial behavior within a transitioning community across three industries. Future studies could replicate these findings within comparable institutional contexts, employing longitudinal studies that include additional variables beyond those considered in our present study.

Considering the importance of MSMEs for a country’s economic and sustainable development, the authors provide some policy implications. The authors recommend managers carefully evaluate the information gathered while they decide and also increase their capabilities concerning digitalization, which is crucial for their firm’s survival, growth and sustainable competitive advantage.

This paper contributes to the literature and shows and analyses entrepreneurial behavior at institutional (macro), firm-level factors (meso) and managers' rational decision-making (micro), providing evidence from a transition community.

Within the theoretical framework of Regional Innovation Systems, the purpose of the paper is to introduce an innovative methodological scheme for strategic planning decisions in public administrations, based on foresight, roadmapping and large participation processes.

Starting from the main literature contribution on Regional Innovation Systems, foresight and decision-making processes, an innovative methodology has been elaborated for strategic planning, based on innovation and large participation processes. A practical application is also described with regards to strategic planning in Tuscany (IT) for Smart Specialisation Strategy (S3).

On a practitioner perspective, the methodology elaborated addresses strategic planning uncertainties, both when problem setting and in solution finding; a detailed application is provided, easily to be adapted to other regions, and main findings are related to regional innovation governance enforcement.

Being the Tuscany S3 in the implementation phase, it is not possible to verify the adequacy of alternatives selected. Only mid-term evaluations will allow a deeper insight on the effectiveness of the methodology adopted.

The methodology represents a useful tool for public administrations in charge of strategic planning and in particular for S3, as an ex ante requirement for European Structural and Investment Funds. The description of the case of Tuscany provides practical hints for the methodology application.

The methodology presents interesting social implications related to the large involvement of stakeholders and quadruple helix within regional strategic planning.

Within the framework of Regional Innovation Systems, strategic planning decisions are addressed with a scheme based on foresight and large participation processes. European Commission requirements are fully taken into consideration by the methodology. The methodology is easy to be adopted and customised to specific needs of other regions.

State environmental agencies have been organized independently with a variety of structural schemes, and are responsible for the bulk of administration of federal environmental policy, such as the Clean Air Act. Using statistical models of air quality outcomes, this research compares three competing typologies for capturing agency differences: Ringquist (1993b), Lester (1990), and Wilson (1989). The findings indicate the most commonly used measure of organization, Ringquist (1993b), may be the weakest in comparison. Additionally, both Lester (1990) and Wilson (1989) show interesting advantages in comparison to each other. The findings provide some interesting insights into the difficult task of measuring organization.

The paper focuses on the management of the innovation process. It provides a more comprehensive approach for the analysis of the mutual relationships among creativity, knowledge and innovation (CKI), thus going beyond the one-to-one basis of analysis prevailing in literature. Given the varied set of stakeholders concerned with innovation process outcomes, the need for adopting different perspectives emerges (i.e. macroeconomic, institutional, socio-cultural and corporate). A framework, including a set of indicators grouped by perspective is proposed in order to help capture several outputs of innovation processes.

This is a qualitative research paper based on the literature review and the development of theoretical remarks. The multiple-case study approach corroborates the theoretical analysis.

The model aims to provide an operating tool for the management of innovation processes. It helps to assess the impact of innovation plans and operating actions at any level. The model may support decision making and control tasks in operating contexts, providing a strategic tool for governments and managers. This paper may encourage academicians to refine the CKI perspective and improve the model's capacity to predict and assess the impacts of innovation processes.

The framework may help when analyzing a CKI interaction system. It allows understanding of the dynamics between creativity vs knowledge resource policies (creativity-based approach vs knowledge-based approach) and innovation goals. The model also serves to deepen the circular nature of CKI interactions and their outcomes.

This study aims to undertake a comprehensive analysis of innovation models, tracing their evolution from Innovation 1.0 to Innovation 4.0 and introducing the concept of Innovation 5.0. It explores the intersection between innovation models and the principles of sustainability, resilience and human-centeredness, providing insights into their implications for Industry 5.0, and their potential to foster a resilient ecosystem amidst challenges and multiple crisis.

To achieve this objective, the authors used a systematic literature review approach, considering academic articles on Innovation 4.0, Industry 5.0 (specifically in the context of innovation) and helix models of innovation. The authors conducted thematic analysis and content analysis, followed by keyword co-occurrence analysis, enabling us to systematically synthesize and interpret the relevant literature.

The results conclude that Innovation 5.0 is a new paradigm for innovation that fosters broader societal engagement, and emphasizes sustainability, resilience and human-centeredness. Innovation 5.0 is evolving, but it has the potential to transform the way we produce, consume and live. Using insights from the sextuple helix model, this research leverages media and ICT as sixth helix vital role of knowledge sharing, digital transformation, innovation ecosystem and next industrial revolution in this process.

This study contributes to the ongoing discourse on exploring Innovation 5.0 through the sextuple helix model, offering a fresh perspective on innovation models and their collaborative potential. Its contribution lies in providing practical insights into the transition to Innovation 5.0, emphasizing the need for sustainability, regulatory support and awareness while also offering clear recommendations for future research.

Empirical evidence suggests that many triggers influence poor cost performance in highway projects, whereas previous studies about the cost overrun triggers stem from a positivist standpoint supported by conventional statistical techniques, thus disregarding the sophisticated interactions and overall dynamics of the triggers. This study contends for a paradigm shift in investigating and understanding cost overrun triggers by adopting a holistic perspective through the lens of system thinking. This study aims to contend for a paradigm shift in investigating and understanding cost overrun triggers by adopting a holistic perspective through the lens of system thinking.

Semi-structured interviews with industry stakeholders in Nigeria were conducted buttressed by textual data from literature sources and project documents. Data analysis based on a developed data compatible coding framework and causal relations from textual data sources was used to develop a causal loop diagram depicting the interactions of the triggers which were validated by experts.

The analysis of the causal loop diagrams (CLDs) allowed identification of action points used to suggest changes for improved cost-effective highway project delivery. Among the suggested interventions are ensuring the provision of adequate funding prior to contract award will result in timely delivery of projects and indeed delivering key projects at the contractual agreed budget. This can be achieved through ensuring strict adherence to the provisions of Section 4 (2) (b) of the Nigerian Public Procurement Act, 2007 which stipulates that no contract should be awarded if funds are not available from the onset.

The study was limited to only highway infrastructure projects in Nigeria and as such caution must be taken before using the outcome of the study to other context within Nigeria and beyond.

From a practical point of view, the causal model demonstrates that this study is capable of being used to make pragmatic decisions regarding policy leverages about improving cost performance in highway projects provision in the Nigerian highway infrastructure sector of the construction industry. Moreover, it will aid a clear understanding of the key influencing triggers of cost overrun by the relevant stakeholders within the highway sector of the industry.

The hybrid-based approach applied in the development of CLDs in this study is expected to provide new insight into understanding the linkages, interactions, feedbacks and processes among the key cost overrun triggers and suggesting leverages for cost performance improvement within the philosophy of system thinking.

COVID-19 has become a global challenge with a significant rate of prevalence, and it has exerted devastating consequences in epidemic, economic and social terms. Therefore, a number of studies have already been, or are now being, conducted on the detrimental effects of the virus. In this respect, a question may arise: Is there any possibility to turn the threat of the virus outbreak into an opportunity in some sectors such as the banking industry? In this research, the effects of COVID-19 outbreak as an intervening element on the acceptance of branchless banking were studied.

In this research, the factors affecting the acceptance and development of branchless banking in Iran at the time of COVID-19 outbreak were identified by systematically studying the theoretical framework, conducting further research and interviewing the experts; then, a causal loop diagram of the problem in the proposed case study and the flow rate model were presented.

The simulation results showed that banking transactions and a bank's financial resources would increase by implementing the package policy of reducing the number of branches, promoting incentive policies and increasing the budget rate of the bank in Information Technology (IT). Further, by promoting customers' acceptance of new technologies, the spread of COVID-19 can be viewed as a positive factor, or even a catalyst, in the acceptance and development of branchless banking in Iran.

Based on the proposed model, the difficulties faced by individuals during the spread of COVID-19 could act as justifiable incentives to boost appropriate organizational preparations for making changes to the classic working processes. Processes such as telecommuting, job rotation and so on are among these changes.

The chapter contains a methodology for formalized evaluation of the role of the Central Bank of the Russian Federation (Bank of Russia) in ensuring monetary and financial sustainability with the help of the monetary policy transmission mechanism and its inflation target regime. The significance of the research of the Bank of Russia operations to ensure financial sustainability is due to a number of circumstances: the uniqueness of the Bank of Russia that appeared only 27 years ago and experienced several devastating events related to the 1998 financial crisis, the global financial crisis of 2008–2009, and the stagnation of the Russian economy in 2014–2016, as well as high volatility of world prices for Russian commodity exports and the latest contra-Russian sanctions that significantly affected the volatility of the Russian ruble. Taking into account all the above, the issue of the Bank of Russia’s effective activities in the long run is aggravated by the fact that there are still more open questions than proven relationships of causes and effects regarding the potential of specific monetary policy instruments in the context of low-growth and high-volatility environment. The modeling of the Bank of Russia strategic and operational targets has been based on the parameters’ dependencies presented by the money (credit) multiplier in the interpretation of G. Schinasi (2006) and on the instability of stable economy hypothesis of H. Minsky (2008). As a result, there have been established the marginal levels of definite indicators of the banking system performance that could allow the Bank of Russia to ensure financial sustainability in the low-growth and high-volatility environment.