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China’s foreign aid efforts in Africa remain contentious. Chinese foreign aid tends to be different from “traditional” development assistance in that it frequently involves firms as the implementing agents of projects. Firms bring unique resources to public–private partnerships (PPPs) formed with government agencies, but their possible self-interested nature also gives rise to concerns over their development impact. Yet, on a larger scale, little is known about the characteristics of Chinese PPPs in foreign aid. Using project-level data available for 1,308 Chinese aid projects in 50 countries across Africa, the author characterizes the projects undertaken by firms and government agencies in a PPP and contrasts them to those executed by Chinese government agencies without firm involvement. This exploratory data analysis suggests that important differences apply, as Chinese PPPs tend to target different sustainable development goals (SDGs), work on the basis of distinct aid conditions, and implement projects that tend to be larger than those that are solely run by government agencies. Such observations raise important questions of an ethical, theoretical, and international nature, and warrant further research. The author develops a research agenda that aims at issues particularly important for business ethics scholars, organization theorists, and international business scholarship.

This chapter discusses the proposed integrated sustainable road infrastructure project implementation (ISRIPI) model and its constructs and sub-constructs, as well as public participation (PP), climate change response (CCR), and stakeholder management (SM). CEEQUAL was the most comprehensive rating system, with 11 criteria. Lim (2009) and Ugwu and Haupt (2007) were the most thorough studies examining sustainability models for infrastructure projects, focussing on social and cultural sustainability (SCS), economic sustainability (ES), environmental sustainability (EnS), institutional sustainability (IS), health and safety (HS), project management (PM), resource utilization and management (RUM), and engineering performance (EP). The Brundtland Report and Rio Summit defined social sustainability as the right to a decent standard of living, social justice between generations, within generations, and around the world. Thin (2002) showed social justice, unity, investment, and safety as aspects of society. Rosenström et al. (2006) defined social qualities as objects that make people happy. Cultural sustainability is access to cultural assets for current and future generations, and cultural legacy is the collection of physical signals passed on from the past to each civilization and, by extension, to all humans. EnS seeks to reduce the environmental impact of road infrastructure projects. Sustainable road infrastructure project implementation (SRIPI) must consider PM issues such as delivery system, risks, duration, performance assessment, sustainability clauses, and contract type. Quality control systems must be set up to ensure the optimum utilization and management of resources in SRIPI. EP criteria measure sustainable road infrastructure projects’ (SRIP) durability, quality, resilience, adaptability, functionality, carrying capacity, and robustness. This research developed an SRIPI model based on the models of CEEQUAL, Lim (2009), and Ugwu and Haupt (2007). The hypothesized framework consists of 37 SRIPI factors, including SCS, ES, IS, HS, PM, RUM, EP, CCR, PP, and SM. It projected the analytical authority of these constructs in the success of SRIPs to test whether the realization of SRIPI outcomes depends on the supposed indicators of the variables. SRIPI is a multidimensional structure composed of 11 latent variables, derived from literature review and Delphi study findings.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

The aim of this chapter is to describe a four-type model of organisational structures and to discuss two cases, Embrapa and the Brazilian Agricultural Research Corporation, as well as additional cases at SAM-Research and the centre for shared medical support services established at the University of Bologna.

These cases should help readers understand the importance of designing distinctive, tailored-made support services while keeping these structures flexible for further adaptation under unforeseen changes.

The chapter concludes by stressing the role of institutions to steadily invest in the design of these tailored support structures and in personalised training for their support staff.

A Delphi study was conducted to identify the critical variables of successful implementation of sustainable road infrastructure projects (SRIPs) in developing countries, determine the reasons for the various viewpoints held by infrastructure development professionals, determine what motivates and pushes the infrastructure sector to pursue sustainability, and determine the factors that could impact the implementation of a project for sustainable road infrastructure. Expert feedback was used to determine values for these metrics and indicators, and most of the panellists reached a consensus on the final decision. Statistical methods were used to determine whether there was a general agreement with respect to the statements and questions asked. The findings of the study were presented alongside its overarching principles. The most important criteria for SRIP implementation were socio-cultural sustainability, economic sustainability, environmental sustainability, and engineering performance, with little consensus on environmental sustainability and public participation. The primary purpose of this study was to identify the most crucial determinants of effective SRIP implementation in low-income nations. Interquartile deviation (IQD) values ranged from 7.0 to 8.1, but IQD values varied from 2.00 to 3.00. Thirty-one environmental sustainability indicators were assessed as important or very important, with 26 out of 30 having IQD values between 0.00 and 1.00. Six sub-attributes were deemed extremely significant and four important when experts examined institutional sustainability, with no consensus on the final four indications (IQD 1). Fourteen of twenty-one Public Participation Indicators were deemed ‘major’ by panellists for SRIP implementation, with consensus among experts. Ten factors contribute to diverse perceptions of sustainability, with only 2 deemed crucial and 18 deemed important. The four most essential indicators of successful SRIP implementation are VHI: 9–10). The other seven criteria were crucial because their median scores were between 7.00 and 10. The Delphi survey explained why various individuals in the infrastructure industry have divergent views on what it means to be sustainable. Twenty-one factors were identified as contributors to divergent perspectives on sustainability among infrastructure industry stakeholders. The Delphi survey also established the factors that affect the success of SRIP implementation in low-income countries, leading to the development of the conceptual SRIPI model.

Purpose: The study aims to analyse and discuss the effect of COVID-19 on businesses. The chapter discusses the various machine learning (ML) tools and techniques, which can help in better decision making by businesses in the present world.

Need for the Study: COVID-19 has increased the role of VUCA elements in the business environment, and there is a need to address the challenges faced by businesses in such environment. ML and artificial learning can help businesses in facing such challenges.

Methodology: The focus and approach of the chapter are in the context of using artificial intelligence (AI) and ML techniques for decision making during the COVID-19 pandemic in a VUCA business environment.

Findings: The key findings and their implications emphasise the importance of understanding and implementing AI and ML techniques in business strategies during times of crisis.

Practical Implications: The chapter’s content is in the context of using AI and ML techniques during the COVID-19 pandemic and in a VUCA business environment.

The increased use of, and reliance upon, technology and digitalisation, especially in the galleries, libraries, archives and museums [GLAM] sector, has motivated innovative approaches to the curation of cultural material. These changes are especially evident when collaborating with Indigenous partners. Indigenous Data Governance [IDG] and Indigenous Data Sovereignty [IDS], with an emphasis on self-determination of Indigenous peoples, have called for an emerging focus on ethical and culturally sensitive approaches to data collection and management across a range of disciplines and sectors.

This chapter reports on broader discussions, specifically with mid-North South Australia, Indigenous community members around the appropriate and ethical collection, representation and curation of cultural material on Country applying digital formats. It investigates ways to create a ‘future identity’ through built form as well as providing a ‘safe’ place for preservation of their oral histories.

It highlights the many questions raised around the ethically and culturally sensitive aspects of the collection, curation and archiving of Indigenous cultural material. It documents the preliminary outcomes of these conversations in the context of current research on IDS best practices in the field. The non-Aboriginal authors acknowledge our supporting position in the realisation of effective IDS and self-determination of our Aboriginal partners.

The chapter describes the emergence of the profession in Czechia. The major driver for universities and research and technology organisations (RTOs) was the country’s accession to the European Union (EU) in 2004. The country has a rich system of national research, development, and innovation (R&D&I) funding and EU Framework Programmes are witnessing a slowly growing interest and success of Czech researchers.¹ Yet, the major force in changing the research management and administration (RMA) culture and addressing the need of professionalising the environment of research administration, management, intellectual property rights, and technology transfer (TT) was European Structural and Investment Funds (ESIF). The Czech government repeatedly, through four EU programming periods, stressed the need for investments to reshape the research infrastructure, environment, and conditions on a scale not experienced by the universities or the RTOs ever before. The availability of EU funds and increasing emphasis on international cooperation enabled Czechia to witness slow, yet steady growth of demand to deliver better service in the field of RMA. This is illustrated through several EU-funded projects focussed on RMA skills development and the recent establishment of the Czech Association of Research Managers and Administrators (CZARMA) in 2022 (Masaryk University, 2022a).

Considering the gradual move into the information age, digital technologies have become the new trend in different industries ranging from agriculture, manufacturing, transportation and banking, among others. The construction industry has also evolved progressively since the last decade to explore and adopt digital transformation considering the immense contribution it has towards productivity. More so, the need to combat global warming has compelled experts to begin to seek new technologies in achieving the green effect. This has led experts and researchers in the industry to seek how digital technologies can help to achieve sustainability and further functional construction. There has been a huge gap as to maximising the impact of digital transformation as many organisations in the industry are still struggling to successfully adopt and implement digital construction. This chapter will help to fill this gap and provide clear insight into how digital can help further sustainable construction.