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Most decision-making problems in construction are complex and difficult to solve, as they involve multiple criteria and multiple decision makers in addition to subjective uncertainties, imprecisions and vagueness surrounding the decision-making process. In many instances, the decision-making process is based on linguistic terms rather than numerical values. Hence, structured fuzzy consensus-reaching processes and fuzzy aggregation methods are instrumental in multi-criteria group decision-making (MCGDM) problems for capturing the point of view of a group of experts. This chapter outlines different fuzzy consensus-reaching processes and fuzzy aggregation methods. It presents the background of the basic theory and formulation of these processes and methods, as well as numerical examples that illustrate their theory and formulation. Application areas of fuzzy consensus reaching and fuzzy aggregation in the construction domain are identified, and an overview of previously developed frameworks for fuzzy consensus reaching and fuzzy aggregation is provided. Finally, areas for future work are presented that highlight emerging trends and the imminent needs of fuzzy consensus reaching and fuzzy aggregation in the construction domain.

Under currently uncertain and fast-changing environments, it is important for firms to supplement their main strategy with alternative ones so that they can quickly change courses of actions. Strategic flexibility is thus an important factor for the viability and success of firms. Although previous research has emphasized the need for strategic flexibility, some firms are reluctant to do so since it requires high investments. Existing studies on strategic flexibility have emerged from various disciplines and drawn on diverse theoretical perspectives. Due to the increasing importance of strategic flexibility, this chapter reviews and summarizes existing studies on strategic flexibility based on the applications of strategic flexibility in various business disciplines, including management and strategy, business entrepreneurship, and marketing. The authors also summarize different theoretical perspectives, including upper echelons theory, resource-based view theory, and dynamic capabilities theory, as well as their limitations.

Creativity and innovation have been buzzwords of managerial discourse over the last few decades as they contribute to the long-term survival and competitiveness of firms. Given the non-linear, causally ambiguous, and intangible nature of all innovation-related phenomena, management scholars have been trying to uncover factors that contribute to creativity and innovation from multiple lenses ranging from organizational behavior at the micro-level to strategic management at the macro-level. Along with important and insightful developments in these research streams that evolved independently from one another, human resource management (HRM) research – especially from a strategic perspective – has only recently started to contribute to a better understanding of both creativity and innovation. The goal of this chapter is to review the contributions of strategic HRM research to an improved understanding of creativity at the individual-level and innovation at the firm-level. In organizing this review, the authors rely on the open innovation funnel as a metaphor to review research on both HRM practices and HRM systems that contribute to creativity and innovation. In the last section, the authors focus on more recent developments in HRM research that focus on ambidexterity – as a way for HRM to simultaneously facilitate exploration and exploitation. This chapter concludes with a discussion of future research directions.

Carbon emission is one of the most important issues threatening the existence of the world. Mostly carbon emission induced climate change disrupts human and nature balance. Carbon emission occurs as a result of practices that are dependent on human activities or not. One of the actors causing carbon emissions is production companies. The companies are working toward reducing carbon emissions. However, although these efforts reduce carbon emissions in the short term, carbon emissions continue in the long term. Therefore, the present study aims to determine the importance of carbon emission in terms of sustainable economic development. Depending on this purpose, production companies in Chile were included in the scope of research for 1990–2019. Based on these data, the study has been tested by Toda Yamamoto causality analysis. Result shows that carbon emissions are not the primary cause of sustainable economic development. In this context, governments need to focus on other issues that have a stronger causal relationship with sustainable economic development. However, studies should be conducted to determine the importance of other activities of companies for sustainable economic development. Hereby, the amount of carbon emission will be reduced and deficiencies in factors affecting sustainable economic development will be identified.

Cultures don’t clash … people do. Hidden below the veil of “incompatible cultures” is a complex network of human-to-human interaction involving information-exchange transactions that have gone awry. The multitude of these troubled exchanges results in what is often branded as “M&A failure, due to culture conflict.”

This chapter presents a theoretical discussion that features practical dynamics of the post-merger integration (PMI) process. The aim is to cultivate a deeper understanding of critical, less-acknowledged micro-level aspects of the post-merger integration stage, specifically, those which underlie the development and maintenance of an organization’s culture and lead to organization performance. It is the unseen information exchange among human actors that leads to the perceptible post-merger outcomes, such as cultural unity and task performance. The quality of these micro-exchanges leads to the value capture from the M&A transaction, thus determining the success – or not – of the combination.

Presented is a synthesis of numerous existing theories, perspectives, and ideas from various scholarly communities, combined with a drill-down to the basic human interactions that define a culture and lead to positive performance. Information flow is the sustenance of an organization, so when merging organizations restructure the information flow is abruptly disrupted, often at pronounced near-term cost. The information-flow channels must be mended for social unification and performance value goals of the combined organization to be realized. The information-transporting social networks of the organizational actors must therefore adapt and intermingle across the old-organizational faultlines. This is accomplished when individual actors alter their personal social networks and retool themselves for a new set of information-exchange interactions.

In closing, the author counsels managers to focus on the dyadic information exchange of their direct-reports as an actionable approach to PMI management. The chapter concludes by pointing researchers toward studying the micro-level aspects of PMI and offers computer modeling and simulation, and laboratory experiments as effective ways to study PMI dynamics at the micro-level of organization behavior. Such methods may also lead to an ability to forecast outcomes of specific post-merger integration scenarios.

This chapter differentiates the effect of solicited credit ratings (SCRs) and unsolicited credit ratings (UCRs) on bank leverage decision before and after the credit rating change. We find that banks with UCRs issue less debt relative to equity when the credit rating changes are approaching. Such findings are also prominent when bank credit rating moves from investment grade to speculative grade. After credit rating upgrades (downgrades), banks with unsolicited (solicited) credit ratings are inclined to issue more (less) debt relative to equity than those with solicited (unsolicited) credit ratings. We conclude that SCR and UCR changes lead to significantly different effects on bank leverage decision.

Family events have unique significance on children as well as long-lasting impacts on them during their adulthood. A review of conceptual and theoretical literature on the subject was conducted to identify underlying trends and best practices in engaging children in the events industry. Societies are in transition from industrialised societies into risk societies and are increasingly becoming eco-socialised. Family events are integral towards developing inclusive and integrated societies and in realising Sustainable Development Goal 16 (SDG 16). Childhood is always eco-socialised, i.e. socially, economically and ecologically integrated with other forms of life. To the extent that childhood nostalgia forms the basis for future sustainable events and tourism choices. Family events are, therefore, increasingly becoming fundamental towards developing sustainability discourse. This viewpoint chapter provides conceptual and theoretical perspective on the roles and impacts of childhood research in sustainability discourse.

This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.

The aim of the study is to evaluate role of trade war between the United States and China on oil price. For this purpose, global oil price and US trade balance with China are selected as variables. In addition to this issue, monthly data of these variables for the periods between 1990 and 2019 are taken into consideration. In the evaluation process, both Engle–Granger cointegration and Toda–Yamamoto causality analysis are considered. The results of Engle–Granger cointegration analysis indicates that there is a ­relationship between trade war and oil prices. Nevertheless, according to the results of Toda–Yamamoto causality analysis, it is identified that trade war does not cause oil prices. While looking at these results, it is determined that trade war between the United States and China has an influence on the oil price changes. However, it is also understood that it is not the main factor of this volatility. Thus, it is recommended that in order to identify the main indicator of the oil price volatility, some different factors should also be taken into consideration.

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.