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With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

With the implementation of Right of Children to Free and Compulsory Education since April 2010, the responsibility and role of the teachers in Indian school has been changed. Once again, the teacher quality in Indian schools has taken a center stage in nation-wide debate. The discussion on teacher quality has reappeared in submitted report as Draft National Education Policy (DNEP) on May 31, 2019, that gets endorsement in cabinet approved NEP 2020. The evaluation, as a process and system, starts with the very moment when a teacher assumes its duties in K-12 schools. This chapter addresses the main research questions as: what is the status of teacher evaluation in Indian schools as mentioned in various Commission reports, policies, and draft regulations? How does teacher evaluation could be reframed for local setting based on global standards laid in international and multinational context? This chapter employs qualitative research through review of policies, draft regulations, research, articles, and government documents as data analysis and frames hypotheses through comparative analysis. The objectives of this chapter are to frame hypotheses regarding policies and recommendations for: teacher quality; teacher appraisal process; teacher appraisal in local, regional, and national settings; and teacher appraisal in multinational context.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Given the continued growth in the globalization of production, working conditions in global supply chains have come under increased scrutiny. Although there has been much debate about corporate codes of conduct and monitoring procedures, the question of how buyers influence their suppliers’ working conditions at the factory level remains poorly understood. Using a unique data set based on monitoring by the International Labour Organization (ILO) and original survey data collected in Cambodia's garment sector, this study shows that the main channel linking buyers and supplier compliance performance is the nature of their relationships. Market-based relationships mediated through sourcing agents are systematically associated with poorer compliance performance. In particular, when a reputation-conscious buyer is sourcing from a factory, it has a positive effect on compliance, and their presence appears to condition relationship variables. Deterrence and learning channels are not supported by the evidence. The findings signal the need to pay more attention to the nature of buyer–supplier relationships if we seek to improve labor standard compliance. Market-based relationships motivate neither buyers nor suppliers to invest their time and resources to tackle the root causes of poor working conditions. Rather, the results here indicate the need to develop collaborative relationships marked by open dialogue, trust, and commitment, which in turn help to foster an environment supportive of continuous improvement in working conditions.

The authors propose a framework to estimate the probability of being poor in a dynamic setting based on a large information set that includes individual characteristics and macro-economic variables. The joint inclusion of personal characteristics along with contextual factors allows separation of idiosyncratic shocks from aggregate shocks affecting poverty. The authors combine data from different cross-sectional surveys and fit a dynamic logistic hierarchical model within a Bayesian framework using standard Markov chain Monte Carlo techniques. The authors’ approach is exemplified by estimating household poverty status in Kyrgyz Republic as a function of time, regions, country, regional level variables and household level socio-demographic characteristics.

In four years, Twitter has grown from a fledgling text message-based start-up company to a powerful communication tool embraced by companies worldwide as a mandatory marketing tool. This chapter outlines the growth of the service, how it has changed communication, and the basic knowledge needed to use the service. The chapter expands on that basic knowledge to demonstrate how the service can be used in a higher education setting. Based on the overarching principle that all social media should involve two-way communication, this chapter provides a basic strategy for departments in all colleges and universities – admissions, media relations, career center, alumni, and more – to Act and Interact on social media to boost school pride, develop relationships, and build brand equity. Finally, because social media is an ever-evolving medium, this chapter outlines some of the cutting edge uses of Twitter that are likely to develop over the next five years.

Universities are increasingly looking at entrepreneurship as a way to bridge theory and practice. This is important in these challenging times when unexpected events and occurrences take place. It is becoming more important for universities to respond in an entrepreneurial manner to new trends to capitalise on learning and research opportunities. The aim of this chapter is to discuss how universities are acting in an entrepreneurial way by responding to educational and social challenges. This will help to understand fruitful new areas of teaching, research, service and engagement that can occur in a university setting based on entrepreneurial thinking.

This paper provides a stakeholder-based rationale for firm risk reduction through diversification. While firm-specific investments from stakeholders are often important sources of firm competitive advantage and economic rents, there is a reduced incentive for stakeholders to make these investments due to the risk associated with firm-specific investments. Since the risk associated with firm-specific investments is often related to the total firm risk level, we argue that stakeholders’ difficulties in diversifying the risks associated with their firm-specific investments create incentives for risk management by firms. We test this argument in a diversification setting. Based on a sample of firms’ first acquisition moves, we find that firms are more likely to engage in risk reduction through diversification when high levels of firm-specific assets are important to the firm's operations. Several proxies for stakeholders’ specific investments are found to be significant in explaining cross-sectional variation in the extent of ex ante risk reduction in acquisitions.

We use a laboratory experiment to examine a multitask environment common to practice, in which managers have multiple responsibilities, including both managerial reporting, as in participative budgeting settings, and effort provision toward daily tasks. Consistent with typical contracting arrangements, we examine incomplete contracts where honesty and effort are not enforceable. In such a multitask environment, when employers choose to offer comparatively generous wages to managers, we predict that managers will elect to provide higher effort. Meanwhile, we remain agnostic ex ante about the degree of misreporting due to findings in studies on gift exchange, moral licensing, and moral wiggle room. Overall, we find evidence that reciprocity, consistent with the gift-exchange model, does extend across both tasks. Implications for theory and practice are discussed.