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This paper aims to develop a system dynamics (SD) model to identify causal relationships among the elements of failure modes and effects analysis (FMEA), i.e. failure modes, effects and causes.

A causal loop diagram (CLD) has been developed based on the results obtained from interdependencies and correlations analysis among the FMEA elements through applying the integrated approach of FMEA-quality function deployment (QFD) developed by Shaker et al. (2019). The proposed model was examined in a steel manufacturing company to identify and model the causes and effects relationships among failure modes, effects and causes of a roller-transmission system.

Findings indicated interactions among the most significant failure modes, effects and causes. Moreover, corrective actions defined to eliminate or relieve critical failure causes. Consequently, production costs decreased, and the production rate increased due to eliminated/decreased failure modes.

The application of CLD illustrates causal relationships among FMEA elements in a more effective way and results in a more precise recognition of the root causes of the potential failure modes and their easy elimination/decrease. Therefore, applying the proposed approach leads to a better analysis of the interactions among FMEA elements, decreased system's failure rate and increased system availability.

The literature review indicated a few studies on the application of SD methodology in the maintenance area, and no study was performed on the causal interactions among FMEA elements through an FMEA-QFD based SD approach. Although the interactions of these elements are significant and helpful in risks ranking, researchers fail to investigate them sufficiently.

Sustainability is a major challenge for India’s (Bharat’s) coal mining industry. The government has prioritized sustainable growth in the coal mining industry. It is putting forth multifaceted economic, environmental and social efforts to accomplish the Sustainable Development Goals (SDGs). This research aims to identify the factors for sustainable improvements in coal mining operations. Secondly, this study examines the intensity of causal relations among the factors. Thirdly, this study examines whether causal relations exist among the factors to be considered for sustainable improvement in coal mining operations. Lastly, the study aims to understand how the factors ensure sustainable improvement in coal mining operations.

An integrated three-phase methodology was applied to identify the critical factors related to coal mining and explore the contextual relationships among the identified factors. Fifteen critical factors were selected based on the Delphi technique. Subsequently, the fifteen factors were analyzed to determine the contextual and causal relationships using the total interpretive structural modelling (TISM) and DEMATEL methods.

The study identified “Extraction of Coal and Overburden” as the leading factor for sustainable improvement in coal mining operations, because it directly or indirectly influences the overall mining operation, environmental impact and resource utilization. Hence, strict control measures are necessary in “Extraction of Coal and Overburden” to ensure sustainable coal mining. Conversely, “Health Impact” is the lagging factor as it has very low or no impact on the system. Therefore, it requires fewer control mechanisms. Nevertheless, control measures for the remaining factors must be decided on a priority basis.

The proposed structural model can serve as a framework for enhancing sustainability in India’s (Bharat’s) coal mining operations. This framework can also be applied to other developing nations with similar sustainability concerns, providing valuable guidance for sustainable operations.

The current study highlights the significance of logical links and dependencies between several parameters essential to coal mining sustainability. Furthermore, it leads to the development of a well-defined control sequence that identifies the causal linkages between numerous components needed to achieve real progress towards sustainability.

This paper sets out to describe the development and empirical testing of a structural equation model of construction safety culture. A key contribution of the model is providing insights into the interactions among safety culture enablers, and the relation between those enablers (what the organisation is doing) and safety culture goals (what the organisation aims to achieve) in the context of the Thai construction industry.

Based on the internationally recognised EFQM Excellence model, this paper empirically examines the interactions and causal relationships between five enablers (i.e. Leadership, Policy and strategy, People, Partnerships and resources and Processes) and safety outcome (i.e. Goals). The paper utilises the structural equation modelling technique to test the hypothesised positive inter‐relationships between the enablers and goals. A questionnaire survey was administered to a sample of construction contracting organisations operating in Thailand to elicit opinions on the different attributes in the context of their current safety practices and performance.

Supported by empirical evidence, this study established that firstly, the Leadership enabler directly influences the implementation of Policy and Strategy, however, its effect on Partnerships and Resources appears to be an indirect one; secondly, Partnerships and Resources was found to indirectly affect Processes through Policy and Strategy, which likewise appears to be indirectly influenced by the People enabler.

This study provides a greater understanding of the interactions between the key elements of safety culture (enablers and goals), and among the enablers themselves.

This research paper aims to establish a comprehensive framework for the barriers to CER in the construction industry, assesses the barriers' relative degrees of hindrance and causal mechanisms.

Firstly, 26 carbon emission reduction (CER) barriers in the construction industry were identified based on a systematic literature review (SLR) and categorized into five dimensions: policy, economy, society, technology and organization (PEST + O model). Secondly, the Best–Worst Method (BWM) was used to clarify the degrees of hindrance of the CER barriers. Then, the Grey-Decision-Making Trial and Evaluation Laboratory (Grey-DEMATEL) was used to visualize the directional cause–result relationship network among prominent barriers. Finally, the Boston matrix model was used to propose differentiated strategies to address CER barriers in the construction industry.

The calculated centrality and causality of the prominent barriers indicated that the lack of relevant legal policies and normative guidelines, the poor binding force and enforcement of existing relevant policies, the lack of effective economic subsidies and incentives and the difficulty in the operation, transformation and upgrading of existing construction CER are the key barriers that CER needs to address first in the construction industry. Considering the order of priority and the optimal path, differentiated countermeasures are proposed to address key, driving, independent and effect barriers.

This study develops a BWM–Grey-DEMATEL integrated multi-criteria decision-making model. An innovative C-shaped strategic map for addressing CER barriers in the construction industry is proposed by integrating the dual dimensions of time and space. This will guide practitioners, policymakers and decision-makers in developing CER strategies.

The purpose of this paper is to discourse the essence and utility of (re)emergence theory as the starting point of understanding and interpreting organizational routines dynamics as well as to propose a conceptual framework reflecting both epistemological and methodological value as the keystone of analysing the rationale of organizational routines and the process of their emergence.

The paper is based on extensive literature studies.

Referring to the research problem concerning the reconciliation organizational routines and the emergence phenomenon, the findings complement the insights of the dominant theoretical perspectives in organizational routine theory, providing a more comprehensive understanding of organizational dynamics by directly addressing the heretofore intractable phenomenon of emergence. In addition, it is going to be a well-justified epistemological base to operationalize routines – not only per se, but also with regard to the mechanisms enacted.

Routines change over time and the current studies results are not sufficient to understand these changes yet. Interpreting organizational routines from the emergence theory perspective reveals their soft, indeterministic, and unpredictable nature and ought to render the scholars dealing with that phenomenon interpretatively and methodologically cautious. Emergence is a priori embedded in organizational routines’ context. The considerations included in the paper are salient regarding ontological and epistemological issues as they emphasize specific thought and research directions in the field of organization study eventually. Emergence ideas may play a part in discussions of spontaneous order, particularly by implementing it to routines construct. A major issue is the role of these ideas and processes within organizational evolution.

This paper aims to identify and systematically analyze the causal-effect relationships among barriers to circular food supply chains in China.

Grounded in multiple organizational theories, this paper develops a theoretical framework for identifying relevant barriers to integrating circular economy philosophy in food supply chain management. The study uses 105 responses from Chinese food supply chain stakeholders including food processors, sales and distribution channels, consumers and government officials. It applies a fuzzy decision-making trial and evaluation laboratory (DEMATEL) method to examine the causal-effect relationships among the identified barriers.

Overall, the results suggest two key cause barriers: first, weak environmental regulations and enforcement, and second, lack of market preference/pressure. Meanwhile, lack of collaboration/support from supply chain actors is the most prominent barrier. The key cause and prominent barriers are also identified for each of the supply chain stakeholder involved.

The study offers practical insights for overcoming barriers to integrating circular economy philosophy in the management of supply chains in the Chinese food sector, as well as in other contexts where similar challenges are faced. It also sheds light on which organizational theories are most suitable for guiding similar studies.

To the best of the authors’ knowledge, this is the first barrier study on circular food supply chains. The use of multiple organizational theories for the development of the theoretical framework is unique in barrier studies. The study offers insights from multiple stakeholders in the Chinese food supply chains.

The purpose of this paper is to present a further extension of the regular grammars of the language L(M_T).

This language may represent an ecological model, written in a formal mathematical structure.

The paper presents and develops recognoscitive and generative grammars of sentences (flow equations) together with a synonymy relationship, which characterize the L(M_T) language.

Provides a discussion of modelling of language.

This essay reports work in cybernetics that it is believed can shed light on methodological and conceptual issues in the study of child development. To do so, cybernetics is placed in the larger context of the philosophy of science, drawing particularly on the work of Frederick Suppe and Nicholas Rescher. The concept of explanation in cybernetics is used to elucidate controversies concerning “mechanistic” and “organismic” types of explanation. An account is given of several models that appear to be of use in explicating the concepts of development, self‐organisation and morphogenesis. Finally, the distinctions between first‐ and second‐order cybernetics (due to von Foerster) and taciturn and language oriented systems (due to Pask) are invoked to encompass the social dimensions of child development.

The purpose of this study is to empirically examine the extent to which volatility associated with corporate performance could be attributed to specific adverse macroeconomic conditions in a bivariate causality analysis.

The study uses the Toda–Yamamoto Wald test approach to Granger causality analysis in verifying significant causal interactions if any, between corporate performance volatility and seven macroeconomic conditions or variables.

This study finds that economic policy uncertainty and macroeconomic uncertainty tend to have bidirectional causal interaction with corporate performance volatility. In addition, estimated results further suggest significant unidirectional causal interaction between corporate performance volatility and inflation expectations, exchange rate volatility, inflation and inflation uncertainty, with direction of causality running from the macroeconomic variables toward corporate performance volatility. This study, however, found no significant causal interaction between corporate performance volatility and recessionary probability or likelihood of recession.

This study’s conclusions could have significant and critical policy implications for key corporate policymakers responsible for corporate performance strategy. Various causal interactions identified could inform policy framework and, subsequently, strategies geared toward minimizing volatility associated with performance during episodes of any of the various macroeconomic conditions examined in this study.

The uniqueness of this study stems from its focus on corporate performance volatility instead of corporate performance and potential causal interactions it might have with key adverse macroeconomic conditions, some of which have not been examined in previous studies according to reviewed literature.