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In Chapter 1, we critically reviewed the foundations of the free enterprise capital system (FECS), which has been successful primarily because of its wealth and asset accumulation potentiality and actuality. In this chapter, we critically argue that this capacity has been grounded upon the profit maximization (PM) theories, models, and paradigms of FECS. The intent of this chapter is not anti-PM. The PM models of FECS have worked and performed well for more than 200 years of the economic history of the United States and other developed countries, and this phenomenon is celebrated and featured as “market performativity.” However, market performativity has not truly benefitted the poor and the marginalized; on the contrary, market performativity has wittingly or unwittingly created gaping inequalities of wealth, income, opportunity, and prosperity. Critical thinking does not combat PM but challenges it with alternative models of profit sharing that promote social wealth, social welfare, social progress, and opportunity for all, which we explore here. Economic development without social progress breeds economic inequality and social injustice. Economic development alone is not enough; we should create a new paradigm in which economic development is the servant of social progress, not vice versa. Such a paradigm shift involves integrating the creativity and innovativity of market performativity and the goals and drives of social performativity together with PM, that is, from market performativity to social performativity.

Over the past two decades, the topics of Environmental, Social and Corporate Governance (ESG) and Corporate Social Responsibility (CSR) have attracted an increasing amount of interest, reflecting a growing sensitivity of investors and corporations towards environmental, social and governance issues.

This survey offers an overview of the academic literature on ESG/CSR through the lens of investors, institutions and firms. We first discuss the definitions of ESG and CSR and their relationship to each other.

We next describe how ESG is measured and note problems with the measurement of and quality of ESG data and discrepancies between different measures of ESG. We then turn our attention to investors, examining what types of investors invest in ESG and the role of institutional investors in ESG. From the firm's perspective, we discuss why firms themselves conduct ESG. We also summarize the literature on the impact of ESG on firms: how ESG affects firms' financing, disclosure and reporting activities and firm performance. Finally, we describe other consequences of the focus of ESG and CSR on firms and investors.

This survey offers an overview of the academic literature on ESG/CSR through the lens of investors, institutions and firms.

The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.

The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.

The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.

In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.

This paper aims to propose a robust method for non-rigid point set registration, using the Gaussian mixture model and accommodating non-rigid transformations. The posterior probabilities of the mixture model are determined through the proposed integrated feature divergence.

The method involves an alternating two-step framework, comprising correspondence estimation and subsequent transformation updating. For correspondence estimation, integrated feature divergences including both global and local features, are coupled with deterministic annealing to address the non-convexity problem of registration. For transformation updating, the expectation-maximization iteration scheme is introduced to iteratively refine correspondence and transformation estimation until convergence.

The experiments confirm that the proposed registration approach exhibits remarkable robustness on deformation, noise, outliers and occlusion for both 2D and 3D point clouds. Furthermore, the proposed method outperforms existing analogous algorithms in terms of time complexity. Application of stabilizing and securing intermodal containers loaded on ships is performed. The results demonstrate that the proposed registration framework exhibits excellent adaptability for real-scan point clouds, and achieves comparatively superior alignments in a shorter time.

The integrated feature divergence, involving both global and local information of points, is proven to be an effective indicator for measuring the reliability of point correspondences. This inclusion prevents premature convergence, resulting in more robust registration results for our proposed method. Simultaneously, the total operating time is reduced due to a lower number of iterations.

In past decades, artificial neural network (ANN) models have revolutionised various stock market operations due to their superior ability to deal with nonlinear data and garnered considerable attention from researchers worldwide. The present study aims to synthesize the research field concerning ANN applications in the stock market to a) systematically map the research trends, key contributors, scientific collaborations, and knowledge structure, and b) uncover the challenges and future research areas in the field.

To provide a comprehensive appraisal of the extant literature, the study adopted the mixed approach of quantitative (bibliometric analysis) and qualitative (intensive review of influential articles) assessment to analyse 1,483 articles published in the Scopus and Web of Science indexed journals during 1992–2022. The bibliographic data was processed and analysed using VOSviewer and R software.

The results revealed the proliferation of articles since 2018, with China as the dominant country, Wang J as the most prolific author, “Expert Systems with Applications” as the leading journal, “computer science” as the dominant subject area, and “stock price forecasting” as the predominantly explored research theme in the field. Furthermore, “portfolio optimization”, “sentiment analysis”, “algorithmic trading”, and “crisis prediction” are found as recently emerged research areas.

To the best of the authors’ knowledge, the current study is a novel attempt that holistically assesses the existing literature on ANN applications throughout the entire domain of stock market. The main contribution of the current study lies in discussing the challenges along with the viable methodological solutions and providing application area-wise knowledge gaps for future studies.

This study aims to investigate the dynamic interplay between the management control system (MCS) and organizational identity (OI) in the Deepwater Horizon incident involving British Petroleum (BP). It examines how the MCS manages challenges, particularly those addressing the embarrassment stemming from identity disparities between external portrayal (frontstage) and internal operations (backstage), with a focus on the often-underestimated influence of the media.

This study builds upon the frameworks developed by Ravasi and Schultz (2006) and Malmi and Brown (2008) to construct a theoretical framework that profoundly investigates the relationship between MCS and OI. The framework developed guided the research design and incorporated a qualitative approach complemented by an illustrative case study. The research data was rigorously gathered from diverse sources, including official BP documents and influential media outlets, with a particular focus on well-established American and British newspapers.

BP’s MCS plays a dual role: it exposes discrepancies in safety, leadership and values, causing embarrassment and identity damage, yet catalyses a sense-making process leading to organizational transformation and shifts in the OI. This transformation influences sense-giving and prompts changes in MCS. The study reveals an intricate interplay in identity management between frontstage audiences (e.g. influential media) and backstage actors (e.g. BP’s senior management). It highlights interdependencies both within and between MCS and OI, emphasizing their roles in interacting within identity management. The longitudinal recovery is intricately tied to mutual political interests between BP and the USA, which are significantly facilitated by the media’s role.

This study acknowledges limitations that point future research opportunities. Interviews could provide a more dynamic understanding of MCS changes and organizational transformations. Investigating the role of leadership, particularly the new chief executive office, and the influence of political versus organizational factors in shaping identity claims is essential. Additionally, the effectiveness and historical context of interdependencies should be quantitatively assessed. Theoretical limitations in the OI and MCS frameworks suggest the need for context-specific categorisations. This research serves as a foundation for further exploration of the intricate dynamics between MCS, OI and organizational responses to crises.

This study offers valuable insights with practical implications for organizations facing identity challenges in the wake of significant incidents. Organizations can better navigate crises by recognizing the multifaceted role of MCS in identity damage and restoration. It underscores the importance of addressing both frontstage and backstage aspects of OI while managing identity discrepancies, thereby enhancing transparency and credibility. Additionally, understanding the intricate interdependencies within OI and MCS can guide organizations in implementing more effective identity restoration strategies. Furthermore, the study highlights the significance of media influence and the need to engage with it strategically during crisis management.

This study’s findings have significant social implications for organizations and the broader public. By recognizing the multifaceted role of MCS in shaping identity, organizations can enhance transparency and credibility, rebuilding trust with the public. Additionally, the study highlights the critical role of media in influencing perceptions and decision-making during crises, emphasizing the importance of responsible and ethical reporting. Understanding the intricate interplay between MCS and OI can inform better crisis management strategies and improve how organizations respond to and recover from incidents, ultimately benefiting society by promoting more accountable and responsible corporate behaviour.

This study’s distinctness lies in its innovative exploration of MCS, which transcends traditional methodologies that focus narrowly on front or backstage aspects of OI and often adhere to predetermined MCS practices. It underscores the importance of concurrently addressing both the front- and backstage audiences in managing the embarrassment caused by identity discrepancies and restoration. The research uncovers multifaceted interdependencies within MCS and OI, and these extend beyond simplistic relationships and emphasize the complex nature of identity restoration management.

This study aims to conduct a systematic literature review on consumer behavior (CB) in Islamic banking (IB), encompassing an overview of researched contexts and topics, identifying literature gaps and proposing a comprehensive future research agenda.

By using bibliometric citation and content analysis, this study investigates 135 documents sourced from Scopus indexed publications.

This study delves into the growing field of CB in IB, offering a comprehensive understanding that encompasses influential journals, theories, research context, characteristics and methods used in IB research.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive review of CB studies in the IB domain detailing research topics, prevailing theories, research settings, important variables and research methods.

This study aims to disclose the antecedent factors for predicting support for cruise tourism in the Bahamas. It investigated the relationship between residents’ support for cruise tourism and the four indicators that were the positive/negative impact of cruise tourism on the community, perceived conflicts in sharing information and concerns about the COVID-19 pandemic.

Using 278 surveys of local residents near major cruise ports in the Bahamas, this study identified the salient variables in tourism impact and conflict factors. The survey questionnaire was adapted and developed from relevant studies and modified to suit the context of cruise tourism.

The results revealed that residents’ perceived conflict was insignificantly associated with their support for cruise tourism. In contrast, their concerns about COVID-19 and perceptions of the positive and negative cruise tourism impacts were statistically significant in predicting the likelihood of support for tourism.

This study suggests implications for enhancing the long-term growth of the cruise industry, which is vulnerable to environmental threats such as Covid-19.