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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 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.

According to relational contract theory, relational governance has potential to improve public-private partnership (PPP) infrastructure project sustainability. The main purpose of this research is to investigate the association between relational governance and the sustainability of PPP infrastructure projects. Further, this study examines the mediating effect of managerial innovation and the moderating role of public involvement.

Research data were collected from 158 valid questionnaires completed by Chinese PPP professionals. Structural equation modeling (SEM) was then employed to test five hypotheses.

Results indicate a positive correlation between relational governance and PPP infrastructure project sustainability. This linkage is regulated by public involvement. In addition, managerial innovation plays a mediating role between relational governance and the sustainability of PPP infrastructure projects.

This study verifies the relationship between relational governance and PPP infrastructure project sustainability, as well as intermediary and regulatory factors, providing a new approach to achieving sustainability in PPP infrastructure projects.

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.

Information and communication technology (ICT) has the potential to address and reduce income inequality. However, since 1980, income inequality in the United States has caused concerns for researchers, policymakers and the public. Entrepreneurs and managers can take advantage of information technologies, while those in the middle and the bottom see fewer benefits. Meanwhile, countries such as Iceland are more capable of using ICT infrastructure to reduce income inequality, which contributes to the well-being of its citizens. This research study explores the relationship between infrastructure diffusion and income inequality through Rogers’s diffusion of innovations theory.

To answer the research questions, the author assessed the data through a series of regression analyses using SPSS. The authors used Power BI software to chart the relationships between ICT infrastructure diffusion and income inequality by country and in the United States by state and region.

The results show diffusion of innovations theory’s tenets do not necessarily hold, because a significant negative relationship exists between infrastructure diffusion and income inequality, especially in countries with emerging economies. In the United States, this relationship significantly differs by region.

This research contributes to research by expanding economic and sociology work to the IS domain, while providing conflicting evidence for diffusion of innovations theory. The research also provides suggestions for practice, such as more focused ICT infrastructure investments and regulations.

The purpose of this paper is to present a model that tests the relationship between information technology (IT) infrastructure, customer focus, and business advantages.

Customer focus is categorized into: customer responsiveness and product/service innovation. The data for the study are obtained from 116 executives from a number of business organizations.

IT infrastructure is found to have a significant effect on customer responsiveness, but does not show any significant relationship with product/service innovation. IT infrastructure, customer responsiveness, and product/service innovation are found to be significantly related business advantages.

The research is useful for academic scholars and managers as the results of the study show the value of firm‐specific resources such as IT infrastructure in business advantages. The research is also useful as it finds support for the resource‐based view (RBV) of the firm.

The paper exemplifies how IT infrastructure can influence customer focus and thus affects directly and indirectly business advantages.

Previous studies equated information technology (IT) with the notion of effective resources. ITs improved firms’ competitive advantage and innovativeness. Yet, far fewer studies investigated types of IT competencies that corresponded to innovation capabilities, particularly in developing countries. The aim of this paper is to provide an investigation concerning the types of IT competencies and examine their influence on the innovation capabilities across high-tech firms.

A survey was randomly distributed to 274 respondents across four main sectors of Malaysian high-tech firms. The main sectors were electric and electronic, aerospace, computers and office machinery and pharmaceuticals. A structural equation model, Amos, was used to analyse data.

Three findings were surmised. First, IT competencies driven by IT infrastructure, alignment, management affected high-tech firms’ innovation capabilities. Second, absorptive capacity (AC) partially determined the relationship between IT infrastructure and IT alignment and innovation capabilities. AC also determined the relationship between IT management and innovation capabilities. The significance of IT competencies in the improvement of innovation capabilities was presented as a key predictor in bolstering high-tech manufacturing firms’ competitive advantage.

Two points on novelty were presented. First, by conceptualising IT competencies from resource-based theory (RBV), a shift in understanding RBV was presented. Second, alternative key predictors concerning how IT competencies could improve aspects of AC and innovation capabilities were presented.

Digital innovation requires organizations to reconfigure their information technology infrastructure (ITI) to cultivate creativity and implement fast experimentation. This research inquiries into ITI generativity, an emerging concept demoting a critical ITI capability for organizational digital innovation. More specifically, it conceptualizes ITI generativity across two dimensions—namely, systems and applications infrastructure (SAI) generativity and data analytics infrastructure (DAI) generativity—and examines their respective social and technical antecedents and their impact on digital innovation.

This research formulates a theoretical model to investigate the social and technical antecedents along with innovation outcomes of ITI generativity. To test this model and its associated hypotheses, a survey was administered to IT professionals possessing knowledge of their organization's IT architecture and digital innovation performance. The dataset, comprising responses from 140 organizations, was analyzed using the partial least squares technique.

Results reveal that both dimensions of ITI generativity contribute to digital innovation performance, with the effect of DAI generativity being more pronounced. In addition, SAI and DAI generativities are driven by social and technical factors within an organization. More specifically, SAI generativity is positively associated with the usage of a digital application services platform and IT human resources, whereas DAI generativity is positively linked to the usage of a data analytics services platform, data analytics services usability and data analytics human resources.

This research contributes to the literature on digital innovation by introducing ITI generativity as a crucial ITI capability and deciphering its role in digital innovation. It also offers useful insights and guidance for practitioners on how to build ITIs to achieve better digital innovation performance.

In a world of progressively more difficult business conditions, the capacity to innovate remains one of the most important attributes of all organizations. It's not, however, particularly easy to do. The quest for innovation is supported through a focus on learning, and particularly when learning is applied to increasing the productivity of knowledge tasks. To support this process, there are elements of infrastructure that are particularly important to develop, which include adoption of effective innovation methodology, as well as robust collaboration, attention to eliminating obstacles and enhancing the enablers of innovation, and providing effective work environments.