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The ongoing economic impact of the global COVID-19 pandemic upon national and international economies has provided a novel set of challenges and barriers for organisations; particularly for small and medium enterprises (SMEs). This has led to an increased focus on sustainable decision-making and long-term survival and growth strategies, such as internationalisation opportunities, for SMEs during obscure times and fluctuating economies. Thus, examining how SMEs within ambiguous economies are adopting innovative decision-making to continue to sustain and grow their enterprises provides a vital perspective and understanding of not only enterprise survival but enterprise growth during times of economic uncertainty. This chapter proposes a conceptual framework that explores internationalisation opportunities through an intersectional lens. The framework depicts that intersectionality as an enabler during ambiguous times for Maldivian women entrepreneurs generates innovative decision-making towards internationalisation as part of sustainable growth practices. The conceptual framework offers theoretical implications for empirical studies of an inductive or deductive nature and offers pragmatic importance for women entrepreneurs considering internationalisation through sustainable growth during obscure times and fluctuating economies. This chapter contributes to the growing body of knowledge in the field of international entrepreneurship, particularly innovative decision-making, and sustainable growth through internationalisation opportunities of women entrepreneurs, whilst advancing our understanding of gender and entrepreneurship studies. Studying innovative decision-making and sustainable growth practices of women entrepreneurs additionally provides a new perspective on intersectional works within entrepreneurial growth during uncertain times.

In the ever increasing worldwide attention to the concept of sustainable development, industrial engineering as productivity champion has not received major attention. This is unfortunate as one can see it as the toolkit to attain sustainable development because industrial engineering is concerned with productivity as the measure for production and service efficiency. Without this it would be difficult to quantify the quality aspects of sustainable development and evaluate the integrated systems of man, money, materials, energy, knowledge, information and equipment, all instances of the three pillars.Energy efficiency is one route towards minimising environmental impact, achieving sustainability and therefore making possible sustainable development. This chapter analyses industrial engineering tools to assess how sustainable our current energy consumption is. For this analysis refrigerators are taken as the sample. This is due to general usage of refrigerators by all people everywhere and due to its major role in worldwide energy consumption. Energy labels are nowadays a common feature of refrigerators put into the market for sale, although this trend is diverse in different parts of the world which signals non-harmonized comprehension of sustainable development in the world.These are explored at a theoretical level to show that industrial engineering tools contribute to sustainability.The implications of using game theory to address these issues are substantial although not previously used.

Reducing food-related greenhouse gas emissions is one of the major tasks in the future, as food causes one-third of global emissions. Influencing customers' purchasing decisions towards low-carbon food is thus decisive. Nudging has been proven to be an adequate mechanism to influence people towards sustainable food choices. Another relatively new approach is boosting, which promotes people's education, inducing autonomous decision-making. In the context of sustainable food, research on nudging and boosting is still at the beginning. Therefore, this chapter conducts a systematic literature review to identify, classify and assess the potential of cognitively oriented nudges and boosts towards sustainable food choices. The sample consists of 217 English-speaking papers published between 2011 and 2021. After three filtering steps, 21 scientific journal publications remained in the data extraction form. All articles are field experiments, comprising descriptive labelling, evaluative labelling, and visibility enhancements. The analysis shows that menu restructurings (e.g. placing a vegetarian option on the top of the menu) in restaurants are the most effective intervention to reshape customers' demands. Evaluative labels (e.g. traffic-light labels on the menu or product packaging) are the second most effective measure. They help people understand eco-related information and thus make better decisions. The effect of descriptive labels seemed small, as they provide no meaningful frame assisting people in processing the data. In conclusion, the research recommends applying cognitively oriented nudges and boosts to promote sustainable food choices and deduces practical implications for appropriate implementation and marketing.

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.

This chapter aims to identify, analyse, classify and rank the sustainability indices and internationalisation challenges of the footwear industry in the emerging economy of Iran. This would provide deeper decision-making insights into Iranian footwear businesses. First, a list of sustainability indices and internationalisation challenges was obtained by reviewing the literature. Then, a combination of multi-criteria decision-making (MCDM) approaches was implemented. The initial sustainability indices and internationalisation challenges were screened using the fuzzy Delphi method, keeping a total of 14 criteria. The best–worst method (BWM) was employed to weigh and rank the criteria. The interpretive structural modelling (ISM) technique and cross-impact matrix applied in MICMAC were employed to visualise the conceptual model based on the levels and classification of the important criteria for the internationalisation of the Iranian footwear industry. The 14 criteria were demonstrated to be important in internationalisation. The most critical sustainability indices were reducing hazardous substances in leather tanning and labour education and training. In contrast, exchange rate instability in Iran’s economy and strict chemical regulations for clothing and footwear were found to be the most important internationalisation challenges. Hence, these criteria should be considered in the internationalisation strategies of the Iranian footwear industry. A combined multilayer sustainable decision-making approach was used to analyse the Iranian footwear industry’s essential sustainability indices and internationalisation challenges. Furthermore, implications and insights are offered to footwear businesses for future decision-making.

This chapter explores sustainable development of leadership strategies as a social framework in higher education to help with defining, implementing, and envisioning a sustainable future. Leaders need to develop a sustainable approach for higher education that involves all stakeholders who benefit from having educated citizens to develop common interests that develop and promote sustainable objectives that focus on shared values. An educationally sustainable approach extends beyond a current leader’s time at the institution to continue stable growth and long-term approaches around making decisions, fostering systemic innovation, developing an engaged workforce, and providing quality services and solutions. Leaders need to link sustainable strategies to the school’s mission, values, and finances to help gain consensus and align the decision-making process. In an effort to develop leaders and programs around educational sustainability, governmental organizations have been established to help develop policies and programs to create a sustainable future. Additionally, professional organizations have formed that allow leaders a chance to connect, grow skills, and lead sustainability initiatives. And, higher education institutions have created offices focused around sustainability on campus and educational programs around sustainability leadership to help develop future leaders that are able to take action based on sustainability values and creating an inclusive and reflective process for decision-making. Sustainable leadership has the power to transform society through reorienting the educational system to help people develop knowledge, skills, values, and behaviors for an ever-changing world.

This section describes sustainable development (SD) in relation to infrastructure projects and explains how to evaluate SD. SD is assessed as context-dependent, considering the project’s economic, social, and ecological context. Sustainable road infrastructure projects (SRIP) should encapsulate the complete life cycle from idea to development, functionality, and maintenance. SD should be considered as part of the evaluation process prior to project execution, but it can also serve other functions. Sustainability evaluation must start with project appraisal or evaluation and the earliest stages of project decision-making. Sustainable infrastructure projects (SIPs) are evaluated using a variety of techniques and models, such as cost-benefit analysis (CBA), multi-criteria techniques, ecological and societal impact assessments, ranking techniques, models, and evaluation guidelines. Established SD structures and modelling techniques for infrastructure projects are presented from an SD perspective, with the primary objective of investigating how they operate and determining whether existing models provide an effective method for applying the SD idea into infrastructure development. CBA is a widely used strategy for evaluating alternatives to maximize sociocultural well-being. It is based on the likelihood of costing customer advantages and negative impacts and has been discussed in scholarly articles. The multi-criteria decision analysis (MCDA) approach is an acceptable methodology for addressing complex matters involving high risk, conflicting objectives, different types of information and data, different concerns and points of view, and the representation of complex and evolving biological, ecological, and financial frameworks. It combines many methodologies and offers various advantages over more conventional ways of decision-making and plan development. It should be used to increase community participation and empower partner organizations and should apply several criteria at the same time, including those that are difficult to adjust and quantify. The key difficulty with this strategy is the usage of weightings, which has been sharply criticized by several researchers. Life-cycle assessment (LCA) is an adaptive tool used to assess the ecological effects of a particular action, task, or procedure. It is applied globally to decision-making in numerous fields, including transportation, energy, and water, and has become a typical tool for determining the ecological performance of infrastructure projects. However, it has a few flaws and could benefit from improvements to assess SD with greater precision. It is a fragmented mechanism for assessing the three components of SD, but its incorporation into other evaluation approaches is desirable. The evaluation of societal implications has been conducted using a variety of methods and techniques, but there is currently no standard method for assessing the communal and appropriation consequences of infrastructure initiatives. Social life-cycle assessments (SLCAs) are advancing, but consensus remains a challenge. The Evaluation Partnership and the Centre for European Policy Studies identified several obstacles and challenges to implementing an outstanding societal assessment, such as the term ‘societal impacts’ being potentially overbroad and not adequately defined, and the lack of a suitable method for quantitatively evaluating sociological effects. Additionally, a large section of societal assessments is biased and frequently inconsequential. The chapter discussed the theoretical and methodological stances on sustainable road infrastructure, using current SID concepts and evaluation techniques thoroughly.