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The current state of theory-building in the field of operations and supply chain management (OSCM) is in a strong need of rigorous, empirically based theories that enhance understanding of the causal relationships between the structural elements and properties of the business processes. In this research note the authors propose the critical realism (CR) philosophy of science as a particularly suitable philosophical position (not to the exclusion of others) to review the mechanisms of OSCM knowledge generation and to provide philosophical grounding and methodological guidance for both OSCM theory building and testing.

To demonstrate potential benefits of CR-based structured approach to knowledge generation in OSCM research, this conceptual paper uses a case study that illustrates the adoption of one of the OSCM theories – i.e. the theory of swift, even flow.

CR interprets the accumulated empirical information about OSCM phenomena as observable manifestations of the underlying causal mechanisms that cannot be perceived otherwise. CR can provide epistemological support to the choice of performance measures that manifest the underlying causal mechanisms of interest. Extensive accumulation of empirical data from multiple innovative sources will not dramatically add to understanding of the system under investigation, unless and until the underlying causal mechanisms that trigger the observed behaviour are identified and tested. The CR abductive mode of reasoning emphasises the role of uncertainty in complex process behaviours and can facilitate enrichment and refutation of OSCM theories.

CR has a clear potential to contribute to OSCM research by enabling better understanding of causal relationships underlying complex behaviours of different elements of business process by providing robust and relevant mechanisms of generating knowledge about business processes that explicitly link empirical and causal aspects of theory building and testing.

Social entrepreneurs create novel approaches to social problems such as poverty. But scaling these approaches to the dimension of the problem can be a difficult task. In the social enterprise sector, the subject of scaling has become a key dimension of organizational performance. This chapter advances the scholarly literature on the scaling of social enterprises, a literature which is currently in an embryonic stage and characterized by conceptual ambiguity and fragmented perspectives.

We engage realist philosophy of science to develop mechanism-based causal explanations of the scaling performance of social enterprises. We also develop a coding scheme to guide systematic empirical analysis and highlight the explanatory power of counterfactuals. Counterfactuals have been largely neglected in empirical research as they represent mechanisms that are enabled but remain unobservable – in a state of suppression or neutralization of their effects.

We question the ability of organizations to “socially engineer” desired outcomes and introduce a new construct – organizational closure competence. Anchored in realism, this construct provides a basis for productive approaches to social engineering. We elaborate on the importance of organizational closure competencies for scaling, derive a series of propositions, and develop ideas for future research and for practice.

Applying a realist lens allows us to add empirical rigor to research on social enterprises and scaling. Our approach constitutes a move from rich narratives to causal models and informs the way we design and evaluate efforts to address important societal challenges.

This chapter demonstrates how to operationalize realist philosophy of science for causal explanations of complex social phenomena and better utilize its theoretical and practical value.

The aim of this paper is to develop an integrative model that explains how incorporating the two epistemological positions of critical realism and attribution theory can help qualitative organisational researchers better understand the reality of social actors through different lenses. In addition, the paper aims to demonstrate the application of the model through a study of organisational justice perceptions of elite Muslim professionals undergoing performance appraisal in the UK banking sector.

The approach adopted used semi-structured in-depth interviews with Muslim professionals in elite positions in UK Western and Islamic banks. Access to participants was secured through a process of purposive and snowball sampling, a tool often used to recruit hard-to-reach populations. The data were analysed through the integrative model developed in this paper.

The integration of critical realism and attribution theory provided different dimensionalities of social reality. Attribution theory enabled a systematic identification of social phenomena and their causal mechanisms, defined the characteristics of those mechanisms and highlighted who/what is responsible for and affected by them. Critical realism distinguished between causal mechanisms and the generative forces that help those mechanisms to be actualised and have effect.

The contribution of this paper is twofold. First, to the best of my knowledge, it is the first paper to build a novel integrative model of these two epistemologies. Second, it presents a detailed application of the model in a contemporary study of the perceptions of justice of Muslims in the UK banking sector.

Research has highlighted the cognitive nature of the business model intended as a cognitive representation describing a business’ value creation and value capture activities. Although the content of the business model has been extensively investigated from this perspective, less attention has been paid to the business model’s causal structure – that is the pattern of cause-effect relations that, in top managers’ or entrepreneurs’ understandings, link value creation and value capture activities. Building on the strategic cognition literature, this paper argues that conceptualizing and analysing business models as cognitive maps can shed light on four important properties of a business model’s causal structure: the levels of complexity, focus and clustering that characterize the causal structure and the mechanisms underlying the causal links featured in that structure. I use examples of business models drawn from the literature as illustrations to describe these four properties. Finally, I discuss the value of a cognitive mapping approach for augmenting extant theories and practices of business model design.

For some years, it has been claimed that Building Information Modelling (BIM) will bring about major improvements to the productivity of the building industry. Yet, productivity has declined while claims for BIM have expanded. Often, BIM descriptions comprise the naïve framing and multiple fallacies of hype. The purpose of this paper is to present critical realist descriptions and explain their advantages compared to BIM hype descriptions.

A longitudinal critical realist case study of BIM causal mechanism and causal context.

Critical realist analysis reveals that hype about BIM underplays many inter-related causal requirements: all of which are needed to bring project business outcome from management action.

Many inter-related non-trivial causal factors need to be taken into account to achieve business outcome from BIM implementation action. Further, factors claimed at the outset to be adequate to achieve outcome from action may be less than adequate.

The originality of this paper is that critical realism analysis across six years is presented. This longitudinal data reveals that claims for BIM can be more future goals than current certainties. The value of this paper is that detailed analysis of hype descriptions is provided alongside critical realist descriptions.

No scholar or researcher is able to provide robust evidence that counters the scant reflection on metatheory – mostly ontology and epistemology – underlying management studies in general, and industrial marketing and purchasing research in particular. This paper is a contribution to the indispensable discussion of metatheoretical alternatives in research, and most importantly, the strengths and shortcomings thereof, and respective implications on research questions, objectives, and findings.

An emerging application of Big Data is the addition of sensors and other micro‐electronic devices to engineer‐to‐order (ETO) goods such as one‐of‐a‐kind buildings and ships. The addition of micro‐electronic devices can enable the setting up and operation of smart buildings and smart ships. The purpose of this paper is to provide a critical realist analysis of Big Data hype. This is necessary to determine what challenges will need to be met before project businesses can achieve informational effects and transformational effects from Big Data technologies.

A critical realist study informed by reference to predictive theory and findings from action research. The predictive theory is concerned with the three different types of business effects that can come from information and communication technologies (ICTs): automational, informational, and transformational.

Critical realist analysis reveals that hype about Big Data underplays many challenges in achieving informational and transformational effects.

Many inter‐related non‐trivial factors need to be taken into account when considering investing in Big Data initiatives. These factors range from the planning of data sampling rates, through the robust fixing of sensors, to the implementation of data mining algorithms and signal models.

The originality of this paper is that critical realism is used in analysis of Big Data hype. The value of this paper is that it reveals a causal mechanism and causal context for project business Big Data application. This type of critical realist analysis can be applied to enable better understanding of necessary causal mechanisms and causal contexts for other ICT innovations.

The purpose of this paper is to show how a critical realist paradigmatic stance and its associated research methodology can contribute to supply‐chain research by providing explanations for specific supply‐chain‐ and logistics‐related dynamic phenomena.

Initially, the case for a critical realist research paradigm is made, and then a retroductive pluralistic research methodology is used for demonstrating its application. Starting from an observation in the distribution part of a seasonal goods supply chain, ethnographic‐like field research suggested deeper social structures as being responsible for the events observed. The operation of event‐generating mechanisms related to these structures was matched to existing behavioural theories using dynamic modelling and simulation.

The adoption of the critical realist perspective and its pluralistic research methodology can bring into surface the root causes of, and explain, complex supply chain phenomena. In the particular case presented, it provided an explanation for the inventories observed in a supply chain of perishable seasonal goods as results of two underlying interacting mechanisms: one related to the promotions bias of the manufacturer, and one related to the risk management attitude of resellers.

As far as underpinning philosophy and research methodology are concerned, the research presented is globally significant and valid. Nevertheless, any supply‐chain management policies derived in the demonstrative case as results of the explanation may be significant only to specific industries and geo‐historical contexts.

Results obtained by employing the critical realist perspective may be used in managers' education for developing intellectual frameworks to better understand the causes of complex supply chain phenomena. Of the same importance to practitioners is the methodology and inference process used for explaining real abnormal situations and intervening accordingly.

The paper shows how a critical realist perspective and its associated methodology can be used for extracting/researching deeper mechanisms responsible for observed behaviours in supply chains. Such an approach is in the opposite direction with respect to the hypothetico‐deductive approaches that dominate supply chain research. The paper demonstrates the adoption of the critical realist perspective in supply chain research using a real case.

This essay is a review of the recent literature on the methodology of economics, with a focus on three broad trends that have defined the core lines of research within the discipline during the last two decades. These trends are: (a) the philosophical analysis of economic modelling and economic explanation; (b) the epistemology of causal inference, evidence diversity and evidence-based policy and (c) the investigation of the methodological underpinnings and public policy implications of behavioural economics. The final output is inevitably not exhaustive, yet it aims at offering a fair taste of some of the most representative questions in the field on which many philosophers, methodologists and social scientists have recently been placing a great deal of intellectual effort. The topics and references compiled in this review should serve at least as safe introductions to some of the central research questions in the philosophy and methodology of economics.

The purpose is to forward systems theory one more step towards social theory and integrate problem-solving and theory-building, and search for the integration and unity of science by revealing the nature and role of critical systems thinking (CST).

This article describes relations between systems theory and social theory in three parts. First, it examines the links of systems methodologies with three social science approaches as well as the role of CST. Second, the focus of theory and the form of explanation are discussed from critical social science (CSS) perspective. Third, the direction of theorizing of a CST-based systems theory is investigated.

First, CST is a hidden assumption of system dynamics (SD)/systems thinking (ST). Second, systems theory is positioned in CSS. Third, CST integrates traditional and soft systems methodologies (SSM), and connects systems science and social science. Fourth, this article reveals hidden links between systems approaches and three corresponding social science approaches. Fifth, the theoretical focus of a CST-based systems theory could be formal/structure theory and/or substantive/content theory. Sixth, the form of explanation could be structural/mechanismic explanation combining causal and interpretive explanations. Seventh, a CST-based systems theory may adopt abduction, which complements a defect in deduction and induction in a difficulty of nonlinearity.

It illustrates a graph of the competing approaches in systems science corresponding to paradigms in social science.