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Innovation is at the heart of today's competitive economy. The infrastructure industry of a nation plays a crucial role in its economic development and having understood innovation, and its impacts are very important in the current turbulent economic environment. Innovation and infrastructure are both referred to as two main factors to getting competitive internationally; therefore, having innovation evaluated has become one of the priorities for most governments and organizations. Innovation is a complex and multifaceted phenomenon and is very difficult to measure. The aim of this paper is to develop a framework to evaluate innovation and its benefits in infrastructure projects. For this purpose, a systematic review approach was adopted to review past and current models and frameworks in the literature related to the field of innovation and measurement. As the literature is very fragmented and lacks consensus on innovation measurement, it was intended to develop a comprehensive framework with a holistic attitude in mind in order to consider as many as possible interacting elements of the innovation process. The results showed that having a clear understanding of innovation requires evaluating not only inputs and intermediate outputs of the process, but also necessitates evaluation of what happens in the process of innovation, as well as longer term benefits. The proposed framework is developed in the context of infrastructure projects, and it consolidated necessary measuring aspects of innovation, especially the risk of impacts in the process. This area of research is new and relatively unstudied in the context of infrastructure. However, this study begins to scratch the surface of a large area of research that can act as the first step toward more reliable evaluation of innovation in infrastructure projects.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

Unlike manufacturing and research and developments, major infrastructure projects rarely emphasize or drive their objectives on the basis of innovation. This is in part because of a risk-averse culture, yet conceivably great benefits and opportunities are being lost because of this behavior.

The case for focusing on innovation in infrastructure projects is that the reasons driving innovation are not fully understood, and this impedes the effective implementation of lessons learned for the numerous innovative projects into practice more generally. The purpose of this study was to discover how innovation is produced and captured in major infrastructure projects in Australia and to understand how innovation may be replicated for future projects through refinement of design, project management, finance and procurement.

Engineering and project managers may find this paper helpful to better understand how innovation might happen in infrastructure projects and what different forms it can take.

The findings of this study demonstrate that people and culture drive consistent successful infrastructure outcomes more than simply the development of new products or processes.

The purpose of this paper is to provide conceptual foundations for a study exploring the capacity of hard infrastructure and amenities to influence the socio‐economic imprint of urban spaces. The paper argues that some urban developments are more economically efficient in generating innovation and knowledge than others.

The paper reviews the debate between urban density and infrastructure. Drawing on empirical evidence and economic production theory, it explores the spatial links between economic growth, innovation and knowledge productivity. It argues that the growing role of human capital in the production process has linked productivity to a city's mix and levels of infrastructure and amenities. It reviews five key infrastructure types for knowledge‐based developments.

This paper finds that the positive contribution of density to urban vibrancy and human connectivity is constrained by a city's infrastructure and amenity levels. It concludes that urban development cognisant of an appropriate mix and level of infrastructure and amenities will more likely enhance regional knowledge development and innovation than those which are not.

The evidence presented in this paper has a broad range of strategic and practical socio‐economic implications, and contributes towards understanding how urban form can leverage social aspects of a city for economic growth.

Using an inter‐disciplinarian approach, this paper provides invaluable insights into the types of infrastructure and importance of urban form for knowledge‐based development. It contends that well‐planned knowledge‐based developments can be leveraged to ensure the successful implementation and delivery of national innovation and productivity priorities.

The purpose of this paper is to investigate whether insights into high reliability organizations (HROs) are useful for innovation management teams. HRO teams can keep failure to a minimum level due to high alertness and resilience. Project teams working on innovation management could benefit from HRO principles and thus reduce their chances of failure.

A survey among in total 260 team members and team leaders of project teams in innovation management was conducted to study the relation between, on the one hand, organizational features of HROs (“mindful infrastructure”) and HRO principles (adjusted as “innovation resilience behaviour”, IRB), and on the other hand, between mindful infrastructure and IRB and project outcomes.

From the results it could be concluded that mindful infrastructure associates with IRB, and that IRB has a mediating role in the relation between mindful infrastructure and project outcomes. Innovation management project teams can thus learn from the practice of HRO teams.

To the authors’ knowledge, HRO-thinking has not been applied to team behaviour in innovation management. A fruitful transfer of insights from the domain of safety and crisis management seems applicable to the domain of innovation.

In recent years, there has been much debate about the value generated by the firms’ investments in information technology (IT). Although literature suggests that technology itself will rarely create superiority, web infrastructure can be critical for knowledge sharing and the formation of virtual teams to execute innovation processes which, in turn, may enhance e-innovation and business value. Building on these antecedents, the purpose of this paper is to explore whether and how web infrastructure and e-innovation can create business value by complementing each other.

Based on the resource-based view (RBV) of the firm this paper develops a conceptual model to assess the effects of web infrastructure and e-innovation on business value as well as the complementarity between these resources. To test the associated hypotheses, a regression model was estimated and tested on a large sample of Spanish firms from different industries.

The results show that web infrastructure is not positively related to business value, but on the contrary e-innovation has a positive impact on business value. However, support for complementarity between web infrastructure and e-innovation was not found.

The present study tests the RBV logic, arguing that not all IT resources are source of competitive advantage. In the same vein, this study shows that e-innovation, as it requires combination of IT infrastructure with other unique intangible resources, is much more difficult to imitate, leading to competitive advantages.

This study is intended to analyze the impact of information and communication technology (ICT) infrastructure, technological innovation, renewable energy consumption and financial development on carbon dioxide emissions in emerging economies.

The present study adopts the autoregressive distributed lag (ARDL) cointegration technique for the annual data collection of Vietnam from 1990 to 2020.

The results of the study unveil that renewable energy consumption, the interaction between renewable energy consumption and ICT infrastructure and financial development have significant predictive power for carbon dioxide emissions. In the long term, renewable energy consumption, export and population growth reduce CO2 emissions, whereas the interaction between renewable energy consumption and ICT infrastructure and financial development increases CO2 emissions, while ICT infrastructure does not affect emissions. In the short run, changes in ICT infrastructure contribute to carbon dioxide emissions in Vietnam. In addition, changes in renewable energy consumption, financial development, the interaction between ICT infrastructure and renewable energy consumption and population growth have a significant effect on CO2 emissions. Notably, technological innovation has no impact on CO2 emissions in both the short and long run.

The current study provides new insights into the environmental effects of ICT infrastructure, technological innovation, renewable energy consumption and financial development. The interaction between renewable energy consumption and ICT infrastructure has a significant effect on carbon dioxide emissions. The paper suggests important implications for setting long-run policies to boost the effects of financial development, renewable energy consumption and ICT infrastructure on environmental quality in emerging countries like Vietnam in the coming time.

This paper aims to examine the factors influencing innovation performance and implementation in inter-organizational relationships.

A novel research model comprises five research hypotheses with four constructs, including information technology infrastructure flexibility, institutional orientation, dynamic capabilities and innovation performance. The hypotheses are tested on data collected from 260 of the top 1,000 Taiwanese manufacturing firms in 2011 listed by Business Weekly in Taiwan, using structural equation modeling.

The study provides insight into how supply chain members should reinforce their dynamic capabilities and relational and institutional view of relational governance so as to improve their value-based relationships and in turn enhance innovation performance.

The empirical study is conducted on supply chains, with data collected from Taiwan's manufacturing firms. With the research model developed, cross-industrial studies can be conducted to investigate whether differences exist in relation to the inter-relationship effects that affect inter-organizational innovation performance.

The study provides useful insights into how supply chain members should reinforce their value-based relationships by focusing on activities that would enhance information technology infrastructure flexibility and institutional orientation, and improve activities that would reinforce the activities of dynamic capabilities, in order to achieve the competitive advantage of inter-organizational innovation performance.

The novel research model developed may serve as a starting point for future theoretical and empirical research and measures for describing and modeling the role of value-based relationships from the relational and institutional view of relational governance and dynamic capabilities, which is not dealt with in previous studies.

The 2030 United Nations Agenda has framed Sustainable Development Goal 9 around eight targets outlined in Resolution A/RES/71/313 (U.N. General Assembly, 2017). The purpose of this chapter is that the lectors, without much previous knowledge on SDG9, understand the fundamental concepts involved in each of the eight targets. Multiple discussion points emerge when reflecting on the nature of these concepts and others emerge when reflecting on them in the industry settings. The first section of this chapter covers issues concerning resilient infrastructure. Resilient infrastructure is related to targets 9.1, 9.4, and 9.a. This concept needs to cope with extreme natural events potentially associated with global warming and climate change. The second section focusses on the importance of technological innovation in the context of targets 9.5 and 9.b. In a business domain, innovation allows to strengthen industrial competitiveness and increases corporate sustainability. The third concept covered in this chapter is the Information and Communication Technology that is a key to understand target 9.c. Last but not the least, two essential ideas are discussed: Inclusive and sustainable industrialisation and financial services, which are fundamental elements in target 9.2 and target 9.3. In a certain way, it is possible to conclude that both concepts integrate all previous conceptions.

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.