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The growing importance of risk management programmes and practices in different industries has given rise to a new risk management approach, i.e. enterprise risk management. The purpose of this paper is to better understand the necessity, benefit, approaches and methodologies of managing risks in healthcare. It compares and contrasts between the traditional and enterprise risk management approaches within the healthcare context. In addition, it introduces bow tie methodology, a prospective risk assessment tool proposed by the American Society for Healthcare Risk Management as a visual risk management tool used in enterprise risk management.

This is a critical review of published literature on the topics of governance, patient safety, risk management, enterprise risk management and bow tie, which aims to draw a link between them and find the benefits behind their adoption.

Enterprise risk management is a generic holistic approach that extends the benefits of risk management programme beyond the traditional insurable hazards and/or losses. In addition, the bow tie methodology is a barrier-based risk analysis and management tool used in enterprise risk management for critical events related to the relevant day-to-day operations. It is a visual risk assessment tool which is used in many higher reliability industries. Nevertheless, enterprise risk management and bow ties are reported with limited use in healthcare.

The paper suggests the applicability and usefulness of enterprise risk management to healthcare, and proposes the bow tie methodology as a proactive barrier-based risk management tool valid for enterprise risk management implementation in healthcare.

The purpose of this paper is to identify, model, analyze and prioritize the barriers in implementing sustainable practices in rubber products manufacturing industry in Kerala, a state in South India. This research provides a more reliable quantitative measure of association of the barriers in the implementation of sustainable practices in the rubber products manufacturing sector.

Interpretive structural modeling (ISM) is used to develop the hierarchical relationships among the barriers in the implementation of sustainable supply chain practices in the rubber products manufacturing sector. The hierarchical structure among the barriers is framed using the experts’ opinion. Cross-impact matrix multiplication applied to the classification (MICMAC) analysis is integrated with the output of ISM to classify the barriers into different categories based on the driving power and the dependence power. The driving power and the dependence power of the barriers obtained from ISM constitute two criteria for prioritizing the barriers. The change management required is considered as the third criterion. The fuzzy-analytic hierarchy process (F-AHP) methodology is adopted to prioritize the barriers based on these three criteria.

The hierarchical relationship obtained through ISM methodology shows that lack of government initiatives and lack of benchmark on sustainability measurement in Indian conditions are the major barriers in implementing sustainable practices in the rubber products manufacturing sector. These barriers lead to the lack of management commitment for the implementation of sustainable practices in the organizations under study. The prioritization obtained through the F-AHP method suggests that lack of top-level management commitment, lack of motivation, lack of government initiatives and high initial cost of implementation are some of the major barriers in implementing sustainable practices in the organizations.

In the application of the ISM methodology, the contextual relationship between the barriers specified by the experts and their preferences may involve bias. Another limitation of this research is that the modeling and prioritization of the barriers are executed based on the opinion of experts from rubber product manufacturing companies in one state only.

To the best knowledge of the authors, this research is the first study on the identification and prioritization of the barriers in sustainable supply chain implementation in the rubber products manufacturing sector. Modeling the inter-relationship among the barriers using ISM technique and prioritizing the barriers using F-AHP are the novel features of the contributions of this work.

The study tries to identify the barriers influencing supply chain resilience and examine the inter-relationships between them. These relationships are built on the basis of how one barrier drives or is driven by the changes in another barriers.

In the first phase, literature review and with due discussion with experts, the barriers have been identified and shortlisted for an Indian automotive case company. In the second phase, total interpretive structural modelling (TISM) has been applied to examine inter-relationships between the barriers for an Indian automobile case company. Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis has also been performed to analyse the driving and dependence power of the barriers.

In total, 11 barriers are identified from the first phase of the study. In the second phase, the TISM digraph is created which qualitatively explains the reason behind how one barrier leads to another. MICMAC analysis classifies these variables in four clusters namely autonomous, linkage, dependent and independent. These clusters characterise the barriers based on their driving and dependent power which helps managers in strategically tackling them while taking understanding from the TISM digraph.

Three research implications can be made from the study. First, a comprehensive definition of supply chain which helps in understanding of resilience based on disruption phases and recovery. Second, 11 barriers are identified which hinder resilience in automotive sector. Their relationships are modelled using TISM which also gives why a particular relationship exists. Last, MICMAC analysis classifies barriers based on how high or low the driving and dependence power exists.

The study offers significant implications for supply chain managers helping them in building resilience by identifying barriers and reducing their effect. Barriers are identified for case company which might help managers to tackle them during disruptions. The final TISM digraph depicts the “why” between the inter-relationships between the barriers to resilient supply chains. TISM shows that non-commitment of top management is the major root barrier which has been causing the other problems. MICMAC analysis is also performed along with discussion as to how autonomous, linkage, dependent and independent barriers can be tackled to build resilience.

TISM is considered as an effective methodology for conceptual framework development as it also explains “why” between the relationships besides explaining the “what” as against ISM. Identification and understanding of barriers and their interrelationship will help supply chain managers to analyse the influence and inter-dependence of barriers on the resilience of the supply chain. Such understanding will help in mitigating/averting these barriers hence improving the resilience capability. It also adds to the knowledge base in the area of supply chain resilience where several authors have pointed the lack of research.

Global trade depends on more complex, prolonged and larger port systems, where port logistics is a backbone for such operations. Ports are responsible for transferring more than 80 percent of the global trade. Port logistics are prone to being risk-oriented. The study proposes a model to study various port logistics barriers and their associated risks for emerging economies in the Industry 4.0 era.

The study develops a framework by integrating the fuzzy set theory, the evidential reasoning approach and the expected utility theorem for identifying the severity value of port logistics barriers under the Industry 4.0 era for emerging economies and prioritize them based on various perspectives. The study identifies multiple risks associated with the barriers, and intensity-based categorization of the risks is performed for risk profiling.

The study reveals that poor infrastructure, nonsupportive policy ecosystem, and lack of research and development are the top barriers that need immediate attention. A new approach has been proposed that changes the importance of perspectives, and 192 analytical experiments were done to study the changing behavior of barriers. The study also presents various types of risks associated with the selected barriers.

In future studies, other barriers can be discovered and studied to develop such models. To cover the entire spectrum of possibilities, belief degrees of the barriers could be used to study the barriers instead of changing the weights.

This study presents a quantification model to prioritize the barriers based on environmental, economic and operational perspectives. Further, the model helps create scenarios for decision-makers to improve port logistics performance and achieve sustainability. The study identifies various risks associated with port logistics barriers and allows decision-makers to take proactive actions.

This study contributes significantly to the literature on port logistics by developing a framework for determining the severity of the barriers in the Industry 4.0 era for emerging economies. Further, the study pinpoints various risks associated with port logistics, and risk profiling is carried out.

The purpose of this paper is to identify the potential barriers of telecom services and develop relationships among them using interpretive structural modeling (ISM) in the Indian telecom sector. Further, this paper intends to find the driving and dependence powers of telecom barriers, using MICMAC (Matriced' Impacts Croise′s Multiplication Applique′ea′un Classement) analysis.

A group of experts from telecom sector and academia was consulted and the ISM was used to develop the contextual relationship among identified barriers of telecom services. The results of ISM are used as an input to MICMAC analysis, to further classify identified barriers based on their driving and dependence powers.

This paper has identified 11 barriers of telecom services from the literature review and opinion of experts, and a contextual relationship model was developed using the ISM technique. The paper further studied barriers based on their driving and dependence powers using MICMAC analysis that classifies them into four clusters. The results identified the barriers such as “lack of adequate investment in infrastructure expansion”, “interference of private operators”, “legal and regulatory issues”, “lack of maintenance culture” and “lack of financial resources and high cost” as strategic-level barriers that, if dealt with carefully, can help overcome the effect of other barriers preventing the effective performance of the Indian telecom sector.

Although, there are a number of barriers that affect the performance of telecom services, existing theories, models and frameworks have focused on identification of factors, their implementation and benefits, and thus, these theories lack a holistic view in understanding those barriers which hinder the performance of the telecom sector. Top-managers and policymakers need to be more concerned about these barriers so that the performance of the Indian telecom sector could be improved.

A thorough literature review has revealed that no such study has been undertaken that provides any clear understanding of the barriers of telecom services, linkages between them and hierarchical relationships among the barriers.

This study aims to explore the lived experiences of skilled racial minority migrant (SRMM) women who hold management positions in the White Icelandic labor market and to understand how gender, race, ethnicity and migrant status intersect to shape experiences of privilege and disadvantage.

In this paper phenomenological methodology was applied to analyze in-depth interviews with twelve SRMM women. Iceland provides rich context of high gender and social equality, but limited recognition of ethnic and racial differences.

SRMM women's self-efficacy and agency allowed them to source strength from their background and experiences of challenges. Through reframing they adopted a mindset of resilience and determination, proactively redefined the context, turned negatively stereotyped identities into positive assets and engaged strategically with barriers based on gender, language or migrant status. In contrast, the subtle and covert nature of racial prejudice in the context of the invisible norm of Whiteness felt impossible to address.

The study provides insight into the experiences of SRMM women who have attained upper- and middle-management positions. The findings illuminate the overt and covert barriers that the women experience on their career journey in the context of a White labor market that emphasizes egalitarianism and gender equality but does not engage with ethnic or racial prejudice. They highlight the role of self-efficacy and agency in deploying strategies to negotiate intersecting barriers and how that agency is disadvantaged by the invisible norm of Whiteness.

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.

Recently, increasing costs and competitive pressure have accelerated the search for different business models in both the production and service sectors. The rapid development of technology has increased the importance of digitalization, especially in developing new and different strategies. The digital service business model has also become a new business model that companies have recently preferred. In addition to its many advantages, it is a business model in which different barriers arise in practice. When we look at the literature, there are very few studies, especially on digital servitization. The purpose of this study is to integrate the concept of digital servitization with the Industry 4.0 perspective.

To achieve this aim, first, the authors identify various challenges and barriers in front of digital servitization based on the Industry 4.0 perspective. Later, they determine the relative importance of these barriers critical to the success of digital servitization. Lastly, one multi-criteria decision-making method, the fuzzy decision-making trial and evaluation laboratory method, is used to analyze the cause-and-effect relationship between each barrier based on the Industry 4.0 perspective

Based on the results, the most crucial cause-and-effect barriers are insufficient infrastructure/lack of IT infrastructure and high implementation, respectively. Therefore, this study offers the reader the possible barriers to sustainable digital servitization with Industry 4.0 perspective implementations and comprehensive solutions for these barriers. In addition, this study draws a roadmap for disseminating digital service applications.

There is no study, to the best of the authors’ knowledge, about determining barriers and problems with merging digital servitization with the Industry 4.0 perspective. So, there is still a significant gap in the literature about investigating these two essential topics from the Industry 4.0 perspective.

The purpose of this paper model and prioritizes barriers to product development in medical device manufacturing industries using an integrated “structural equation modelling” (SEM) and “fuzzy technique for order performance by similarity to ideal solution” (FTOPSIS) framework.

Barriers to medical device development (MDD) are adopted from literature. The initial structural model is proposed, exploratory factor analysis and confirmatory factor analysis are used to determine factor loading and model fit, respectively. Further, FTOPSIS is used to rank the barriers and sensitivity analysis is carried to check the robustness of results. The results are discussed in detail and the recommendations to overcome the barriers are presented.

Barriers analysed and prioritized in this research significantly hinder the MDD. The expert survey is used to develop an initial structural equation model of barriers to MDD, find the reliability and validity of the model. Based on the opinion of the experts, the barriers are divided into three categories – internal, policy and induced barriers. FTOPSIS is applied to rank and prioritize the barriers based on views from these three classes of experts. More reliance on imported devices leading to increased imports (B11) and lack of uniform regulatory standards (B6) are found to have the highest rank together, indicating these to be the most important barriers from the perspective considered here. Sensitivity analysis indicates that the factors are less sensitive to the weights of criteria further confirming the reliability of the initial solution.

The prioritization of barriers may vary based upon experts. Policymakers, existing and new device developers need to give utmost importance to these barriers, which will help to accelerate the indigenous development of medical devices to overcome the present dependence on imports.

This paper demonstrates an integrated structural based modelling and prioritization technique for statistical modelling and prioritization of barriers to MDD. The results and recommendations will help policymakers and manufacturers to increase the indigenous share of medical devices. The integrated methodology can be effectively applied where the need for the combined quantitative and qualitative approach is there.

This paper demonstrates an effective structural based modelling and prioritization technique. It can be effectively applied in various fields, it will help policymakers and manufacturers to increase the indigenous share of medical devices.

The ability of an organization to observe varying demands and efficiently meet them can be described as agility. Project procurement management (PPM) in the past was stable as things did not change very often and were very predictable. Due to hyper-competition, less predictable market and exponential innovation, the existing PPM becomes very unstable which marks the requirement of an agile model to manage procurement projects effectively. The paper aims to discuss this issue.

For achieving the improvements, various barriers to improving agility in PPM were identified from the literature and experts’ review, followed by obtaining quantified impacts of identified barriers from the experts using the Delphi technique. Finally, interpretive structural modeling along with Matrice d’ Impacts Croises Multiplication Appliqué an Classement analysis was used to analyze the interactions among barriers to prioritize and strategize their mitigation.

As per the analysis, the lack of top management alignment and commitment, lack of digital strategy, lack of new technology competencies and inefficiencies of financial factors were the most critical barriers that would come across while improving agility in PPM for any organization. Industries should have a stable, well-established and supportive top management that has a vision for digital transformation along with upgrading the companies’ technology layer for automating most of the manual processes to have intelligent decision-making capability.

Industries need to be agile in their operations for being more competitive and responsive to the market. PPM being the most critical part of the entire value chain needs to be agile in the first place. The strategies developed as an output of this research can be utilized by industries for improving agility in their business processes.