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Motivated by the 2030 UN Sustainable Development Goals (SDG-7: clean and affordable energy, SDG-8: sustainable economic growth, SDG-13: climate action), this study aims to investigate the role of economic complexity, disaggregated energy consumption in addition to economic growth, financial development, globalization and urbanization on the ecological footprint of United Arab Emirates (UAE).

This study adopts unit root tests (with and without a structural break), autoregressive distributed lag (ARDL) bounds test and dynamic ordinary least squares.

The results obtained from the ARDL model suggest that economic complexity (EC), nonrenewable energy and economic growth increase the ecological footprint in both the short and long run, thus deteriorating the environment. However, renewable energy and urbanization reduce the ecological footprint in UAE during the two periods, thus improving environmental quality. Globalization and financial development have different influences on ecological footprint during these periods. These findings are robust to other estimation techniques.

Based on these results, this study offers significant policy implications such as increasing renewable energy supply, particularly solar energy and aligning the product manufacturing structure and complexity toward producing environmentally friendly products which can be used to realize the nation’s agenda of reducing fossil fuels consumption to 38% by 2050 and achieving sustainable environment and growth.

This study provides an empirical attempt to investigate the influence of EC and renewable and nonrenewable energy on the ecological footprint of the UAE.

The conclusions summarize the main empirical evidence that emerged in the book and put forward final reflections and some recommendations for scholars and policymakers. First, the reader is reminded that the book focuses on how a desirable and ambitious agenda that contemplates a progress-oriented policy system is feasible when confronted with the challenges of its implementation and the related problem of coordination between the goals it postulates. The purpose of the concluding chapter is to extrapolate the findings from the individual analyses and synthesize them into a single interpretative proposal centered on two analytical pillars. The first is the analysis and management of the complexity generated by wickedness, through the reconstruction of types of complexity and consequences that the policymaker must acquire in terms of problem setting. The second is the analysis of the skills needed to manage said complexity, distinguishing between linear and nonlinear skills. These are the skills that the policymaker must acquire in terms of problem-solving. Both problem setting and problem solving are summarized in some final recommendations on what to do to improve the feasibility and effectiveness of sustainable development policies: the pragmatic culture of government and some supporting institutional tools, the importance of training as a lever of change, and the building of knowledge infrastructures in terms of evidence-based policymaking.

Understanding the challenges and opportunities of policy coherence when dealing with wicked problems is a particularly relevant approach to policy analysis. Coherence and complexity condition each other in the context of the different policy domains, jointly offering an enabling debate angle to account for and unbox policy success and failure. A complexity perspective invites an analysis of the interdependencies between the different elements of a system (Argyris & Schön, 1996). This is very similar to the ambition of policy coherence of promoting synergies between policy domains in order to encourage policy success (Nilsson et al., 2012). The current chapter looks at the nexus between policy coherence and complexity, analyzing lessons learned from the UK context while aiming to fulfill policy commitments related to the policy goals of the Sustainable Development Framework. Looking at the United Kingdom's policy journey includes analyzing the ambitions of the United Kingdom as a European country with global presence, aiming for policy coherence and integrating, for example, its security, defense, development, and foreign policy strategies, through the Integrated Review, therefore creating the institutional arrangements for materializing ambitions across different policy domains.

The analysis developed here uses an outward perspective to understand how a complexity reading of the United Kingdom's efforts for achieving the SDGs can unveil an understanding of how and if its nature as a global governance actor within the Sustainable Development Framework has changed in significant ways and which are the potential related challenges.

This study investigates the relationship between the Chief Executive Officer's (CEO) overconfidence and financial reporting complexity in Iran, a context characterized by weak corporate governance and heightened managerial discretion.

The sample consists of 1,445 firm-year observations from 2010 to 2021. CEO overconfidence (CEOOC) is evaluated using an investment-based index, specifically capital expenditures. Financial reporting complexity (Complexity) is measured through textual features, particularly three readability measures (Fog, SMOG and ARI) extracted from annual financial statements. The ordinary least squares (OLS) regression is employed to test the research hypothesis.

Results suggest that CEOOC is positively related to Complexity, leading to reduced readability. Additionally, robustness analyses demonstrate that the relationship between CEOOC and Complexity is more distinct and significant for firms with lower profitability than those with higher profitability. This implies that overconfident CEOs in underperforming firms tend to increase complexity. Also, firms with better financial performance present a more positive tone in their annual financial statements, reflecting their superior performance. The findings remain robust to alternative measures of CEOOC and Complexity and are consistent after accounting for endogeneity issues using firm fixed-effects, propensity score matching (PSM), entropy balancing approach and instrumental variables method.

This study adds to the literature by delving into the effect of CEOs' overconfidence on financial reporting complexity, a facet not thoroughly investigated in prior studies. The paper pioneers the use of textual analysis techniques on Persian texts, marking a unique approach in financial reporting and a first for the Persian language. However, due to the inherent challenges of text mining and feature extraction, the results should be approached with caution.

The insights from this study can guide investors in understanding the potential repercussions of CEOOC on financial reporting complexity. This will assist them in making informed investment decisions and monitoring the financial reporting practices of their invested companies. Policymakers and regulators can also reference this research when formulating policies to enhance financial reporting quality and ensure capital market transparency. The innovative application of textual analysis in this study might spur further research in other languages and contexts.

This research stands as the inaugural study to explore the relationship between CEOs' overconfidence and financial reporting complexity in both developed and developing capital markets. It thereby broadens the extant literature to include diverse capital market environments.

Using a substantial sample of U.S.-listed firms’ Seasoned Equity Offerings (SEOs) spanning the period from 2012 to 2017, we examine the relationship between hierarchical complexity and the selection of SEO methods.

We employ multinomial logistic regression to examine the influence of hierarchical complexity on the choice among various SEO techniques. To strengthen the robustness of our results, we employ a two-stage-least-squares (2SLS) analysis and utilize propensity score matching to address potential endogeneity issues and mitigate self-selection bias, respectively.

The research indicates that companies characterized by high levels of hierarchical complexity tend to steer clear of accelerated offerings but exhibit a preference for rights offerings over firm commitment offerings. This tendency is plausibly attributed to the impact of hierarchical complexity, which diminishes information transparency and heightens information asymmetry. Furthermore, the study highlights a negative association between hierarchical complexity and firm value following SEOs.

While an expanding body of evidence establishes a connection between hierarchical complexity and various firm- or market-specific activities, to the best of our knowledge, there are no specific empirical studies that have investigated how hierarchical complexity impacts equity offering strategies. Building on the established correlation in previous research between hierarchical complexity, information transparency, and asymmetric information, and recognizing the critical role of information in the selection of SEO methods, our study reveals that hierarchical complexity may diminish information transparency, heighten information asymmetry, and hinder outside investors from fully grasping a firm’s actions and outcomes. Consequently, this influence extends to the methods of offerings chosen by listed companies.

The purpose of our study is to investigate how a manufacturing plant’s internal operations along with its network of connections (upstream and downstream) can have an impact on its recovery time from a disruption. The authors also examine the inverse-U impact of complexity. Finally, the authors test the moderating role that business continuity management plans (BCP) at the plant level have on recovery time.

To test our hypotheses, the authors partnered with Resilinc Corporation, a Silicon Valley-based provider of supply chain risk management solutions to identify focal firms’ suppliers, customers and plant-level data including information on parts, manufacturing activities, bill of materials, alternate sites and formal business continuity plans. The authors employed censored data regression technique (Tobit).

Several important findings reveal that the plant’s internal operations and network connections impact recovery time. Specifically, the number of parts manufactured at the plant as well as the number of internal plant processes significantly increase disruption recovery time. In addition, the number of supply chains (upstream and downstream) involving the plant as well as the echelon distance of the plant from its original equipment manufacturer significantly increase recovery time. The authors also find that there exists an inverted-U relationship between complexity and recovery time. Finally, the authors find partial support that BCP will have a negative moderating effect between complexity and recovery time.

This research highlights gaps in the literature related to supply chain disruption and recovery. There is a need for more accurate methods to measure recovery time, more research on recovery at the supply chain site level and further analysis of the impact of supply chain complexity on recovery time.

The purpose of this study is to investigate the relationship between the absorptive capacity (AC) of a firm and project success (PS), with particular attention to the mediating role of customer knowledge management capability (CKMC) and the moderating role of environmental complexity (EC). By using data collected from Turkish SMEs across different sectors, the study seeks to understand how AC impacts project success, how CKMC mediates this relationship, and how EC moderates the link between AC and CKMC. The research contributes to both theory and practice by providing insights into these relationships and suggesting future research directions.

This study focuses on Small and Medium-sized Enterprises (SMEs) in Turkey, specifically within the cities of Istanbul, Ankara, Izmir, and Konya. To gather data, the researchers utilized a non-probabilistic convenience sampling method and distributed self-administered surveys to a selected pool of 918 respondents including shift supervisors, project managers, and team members within these SMEs. The surveys were translated to Turkish to avoid language issues. Out of the surveys distributed, 401 valid responses were collected, resulting in a response rate of 43.68%.

The main findings of the study indicate that a firm’s absorptive capacity (AC) positively impacts project success and customer knowledge management capability (CKMC). Furthermore, CKMC plays a mediating role, positively influencing project success. Additionally, the study reveals the moderating effect of environmental complexity (EC) on the relationship between AC and CKMC, suggesting that as EC becomes more complex, it strengthens the link between AC and CKMC. Moreover, CKMC was found to mediate the moderating effect of EC on the relationship between AC and project success, emphasizing the significance of environmental complexity in this interaction.

This study’s limitations stem from its cross-sectional approach, which limits the ability to establish causal relationships between the constructs of absorptive capacity (AC), customer knowledge management capability (CKMC), and project success. It does not examine other potential mediators, such as customer relationship capability and innovation capability. Furthermore, the existing literature on this topic is scarce, suggesting a need for further research, particularly on constructs like team skills for managing CKMC. There is also an unexplored area around the effects of different forms of complexity, such as resource and technical complexity. Finally, further research is needed to understand how SMEs, which often face resource constraints, leverage AC in different functional domains for successful new product development.

The study’s findings have significant practical implications for SMEs, highlighting the importance of absorptive capacity (AC) and customer knowledge management capability (CKMC) in promoting project success, particularly under conditions of environmental complexity. As businesses navigate uncertain environments, external knowledge acquisition becomes crucial for improvement and innovation. Efficient transformation of this knowledge can enhance project success rates. Thus, firms should cultivate a proactive, innovative, and risk-taking climate. Also, firms should regularly assess their AC and CKMC in the face of shifting stakeholder expectations and market competition. The ability to detect, integrate, and apply external knowledge in product and service development can significantly enhance project success rates.

This study’s originality lies in its exploration of the complex interplay between a firm’s absorptive capacity (AC), customer knowledge management capability (CKMC), environmental complexity (EC), and project success (PS). By examining Turkish SMEs across various sectors, the study uncovers the mediating role of CKMC and the moderating role of EC in the relationship between AC and PS. Furthermore, it reveals how the effect of AC on PS through CKMC strengthens with increasing environmental complexity. These findings offer fresh insights into the complexity theory and the factors influencing project success, providing a unique perspective for both academics and practitioners, with practical implications for managing SMEs in complex environments.

The Elementary and Secondary School Emergency Relief (ESSER) requires districts to deliver “evidence-based interventions” to students impacted by the pandemic. The policy has created a unique opportunity for researchers and practitioners to engage with evidence to learn how recovery interventions work and under what conditions.

This study is part of a research-practice partnership (RPP) between Guilford County Schools, AIR-CALDER, Harvard University and NWEA to understand the impacts and implementation of ESSER-funded recovery programs. We use a case analysis approach and frameworks of evidence-use and RPPs to explain how researchers and Guilford leaders engage with evidence to improve and evaluate programs.

The RPP used evidence to inform Guilford leaders’ recovery approaches and strengthened researchers’ evaluations of programs. Conditions that enabled evidence engagement included the RPP’s goals, research activities and collaborative conditions such as boundary spanning activities, team meetings, relationships and trust. We also observed factors that hindered evidence engagement, including the RPP’s nascent stage, structure and breadth of goals, rapid policy timelines and other organizational conditions in Guilford.

Given the complexities of pandemic recovery, RPPs can help researchers evaluate programs in their local context, and present evidence in ways that are actionable to guide decision-making. District leaders can play a valuable role in co-designing research studies attuned to local priorities and context and facilitating research participation among internal stakeholders. However, newly formed RPPs with broad goals for impact will need more time and resources to build an improvement infrastructure for sustaining pandemic recovery.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

This paper shows how the interplay between organisational resilience and environmental complexity justifies the existence of differentiated yet successful approaches to digital transformation.

A multi-case method is applied to test our research hypotheses by contrasting the digital transformation of three Italian companies in the valves industry.

Different combinations of technological and organisational tools, hence diversified digital transformations, can be successful, provided that they are supported by a coherent set of resilience factors and allow for the implementation of strategic approaches aligned with the resilience capacity of the firm.

Awareness that resilience capacity shapes digital transformation and the strategies available to engage with external complexity should focus managers to invest in the alignment and the reinforcement of the factors underlying organisational resilience.

Most literature so far focused on the antecedents to digital transformation. In contrast, this paper focuses on the transformation process and highlights how the resilience capacity of the firm affects the unfolding of digital transformation and the emergence of diversified yet successful paths. In addition, in contrast with a dichotomous approach to external complexity this paper shows that digital transformation involves a mix of complexity reduction and complexity absorption strategies.