Search results

This study aims to identify 3D-printed medical model (3DPMM) supply chain barriers that affect the supply chain of 3DPMM in the Indian context and investigate the interdependencies between the barriers to establish hierarchical relations between them to improve the supply chain.

The methodology used interpretive structural modeling (ISM) and a decision-making trial and evaluation laboratory (DEMATEL) to identify the hierarchical and contextual relations among the barriers to the 3DPMM supply chain.

A total of 15 3DPMM supply chain barriers were identified in this study. The analysis identified limited materials options, slow production speed, manual post-processing, high-skilled data analyst, design and customization expert and simulation accuracy as the significant driving barriers for the medical models supply chain for hospitals. In addition, the authors identified linkage and dependent barriers. The present study findings would help to improve the 3DPMM supply chain.

There were no experts from other nations, so this study might have missed a few 3DPMM supply chain barriers that would have been significant from another nation’s perspective.

ISM would help practitioners minimize 3DPMM supply chain barriers, while DEMATEL allows practitioners to emphasize the causal effects of 3DPMM supply chain barriers.

This study minimizes the 3DPMM supply chain barriers for medical applications through a hybrid ISM and DEMATEL methodology that has not been investigated in the literature.

The purpose of this study is to identify, analyse and model the post-processing barriers of 3D-printed medical models (3DPMM) printed by fused deposition modelling to overcome these barriers for improved operational efficiency in the Indian context.

The methodology used interpretive structural modelling (ISM), cross-impact matrix multiplication applied to classification (MICMAC) analysis and decision-making trial and evaluation laboratory (DEMATEL) to understand the hierarchical and contextual relations among the barriers of the post-processing.

A total of 11 post-processing barriers were identified in this study using ISM, literature review and experts’ input. The MICMAC analysis identified support material removal, surface finishing, cleaning, inspection and issues with quality consistency as significant driving barriers for post-processing. MICMAC also identified linkage barriers as well as dependent barriers. The ISM digraph model was developed using a final reachability matrix, which would help practitioners specifically tackle post-processing barriers. Further, the DEMATEL method allows practitioners to emphasize the causal effects of post-processing barriers and guides them in overcoming these barriers.

There may have been a few post-processing barriers that were overlooked by the Indian experts, which might have been important for other country’s perspective.

The presented ISM model and DEMATEL provide directions for operation managers in planning operational strategies for overcoming post-processing issues in the medical 3D-printing industry. Also, managers may formulate operational strategies based on the driving and dependence power of post-processing barriers as well as the causal effects relationships of the barriers.

This study contributes to identifying, analyzing and modelling the post-processing barriers of 3DPMM through a combined ISM and DEMATEL methodology, which has not yet been reviewed. This study also contributes to decision makers developing suitable strategies to overcome the post-processing barriers for improved operational efficiency.

The purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.

In this paper, through a literature survey and expert opinions, 14 critical barriers were identified, and the ISM tool was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.

After analyzing the barriers, it was found that three barriers, namely, lack of confidentiality (B8), lack of top management support (B3) and lack of sharing and collaboration (B2) were most significant.

The developed model is based on the expert opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in the understanding significance of the barriers and to prioritize or eliminate the same for the effective CCA.

This study is for the first time an attempt that has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian MSMEs. This paper will guide the managers at various levels of an organization for effective implementation of the cloud computing practices.

The study aims to explore the critical approaches adopted by innovative organizations and to build an environment of trust between the multiple stakeholders collaborating for new product development (NPD).

A qualitative research approach is adopted in this study. Fifteen semi-structured interviews were conducted with experts from the wood product industry in Quebec, Canada. These organizations have successfully adopted the latest technological developments and have developed a strong collaboration with their stakeholders.

The study identified eleven strategies for the innovative organizations that included early involvement of the stakeholders in the design process, developing long-term relationships and fostering a transparent environment using Industry 4.0 technologies. A novel framework for using this strategy is presented with three stages of application, namely, planning, enactment and review.

Inter-organizational collaborations in NPD are more successful when imbued with trust. The NPD strategies must allow innovative organizations to achieve a balanced ecosystem in which value created through the adaption of new technology can be thoroughly captured through commercialization on time with no field failure.

The study adds to the body of knowledge in stakeholder theory and NPD research and practice.

Despite the growing awareness of supply chains on industry 4.0 (I4.0) capabilities as the enabler of sustainable performance, little is known about what accelerates this interaction. Prior studies have focused on the ambidexterity dilemma and the need to adopt sustainable inter-organizational governance to drive I4.0 capabilities while achieving sustainable performance. To address these issues, this paper aims to explore the distinct and combined effects of several approaches such as digital business transformation (DBT), organizational ambidexterity (OA) and circular business models (CBMs) on the relationship between I4.0 capabilities and sustainable performance.

Drawing upon a hybrid methodology including structural equation modeling and fuzzy set qualitative comparative analysis, this paper develops and tests a hypothetical model using data collected from 306 organizations in Europe, Asia and Africa.

The study findings lead to several important implications concerning the potential paths linking I4.0 and sustainable performance. Notably, the DBT was found to mediate this relationship by integrating circular principles to devise business models. Moreover, OA was found to substitute the CBMs in developing new sustainable business models and reconcile sustainability.

The study is among the first to analyze the combined effects of OA, DBT and CBMs on the relationship between I4.0 capabilities and sustainable performance at the supply chain level. Moreover, the findings propose several solutions to resolve the sustainability dilemma through I4.0 capabilities, DBT, OA and CBMs.

The study aims to identify the potential drivers of big data analytics (BDA) practices in the supply chain and develop a sustainability evaluation model to evaluate drivers of big data for sustainability development.

The mixed-method approach was applied to assess sustainability dimensions and calculate the score using two phases. In Phase I, the BDA drivers in the e-commerce industry were finalised using the partial least square based structural equation modelling (PLS-SEM) method. In Phase II, a case study in the Indian fashion e-commerce industry was carried out to evaluate sustainability dimensions with respect to drivers of BDA and the sustainability score was calculated using the fuzzy analytical hierarchical process (AHP) method.

The index for economic sustainability (0.220), social sustainability (0.142) and environmental sustainability (0.182) were derived. The higher index value of economic sustainability compared to social sustainability and environmental sustainability signified those drivers of big data bring social and environmental uncertainty along with economic sustainability.

The study will help practitioners promote BDA use for developing environmental/social/economic sustainability in supply chains. Policymakers must ensure whether the integration of BDA practices brings down cost and brings strategic value for ensuring big data success. The study will help managers decide a constant trade-off between the requirement for social, environmental and economic performance.

The study corroborates and adds to the BDA literature by emphasising the positive role of BDA in sustainability development in the supply chain area and highlighting the significant role of different drivers of BDA in sustainability development.

The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM).

Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM.

The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM.

This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice.

This research paper contributes to the literature on supply chain performance measurement.

The purpose of this paper is to examine how the client–contractor relationship affects the project performance in light the theory of relational contracting. The empirical study evaluates the effect of project trust (PT) mediating through the dyadic factors and procurement-specific factors (PSFs) on the project performance.

Research design is carried out in three phases. The first phase of review of literature has identified the key constructs of the study and the conceptual model is formulated. Subsequently, the constructs of the study are validated through expert opinion and pilot study. In the third phase, the questionnaire of the study is administered on 320 samples in various cities of India. The exploratory factor analysis and confirmatory factor analysis is carried out on the two different sample sizes. The structural equation model is finally tested with satisfactory fit.

PT not only improves the dyad factors in construction supply chain (CSC), but also influences the project performance. However, project risk and relationship commitment are not associated with enhancing project performance directly. PSFs and dyad factors are the two mediators in transforming PT into relationship commitment and project performance. Client-led supply chain initiatives and contractor-led supply chain initiatives differ in the CSC.

The present research has employed behavioral data to understand the effect of project procurement on project performance. Nevertheless, future studies should use objective data to support the constructs of the study. This study outlines the common and socially rooted relational governance of the project. This study is useful to the clients, contractors and policy makers in understanding the interplay of various control mechanisms to ease the procurement of large and complex construction projects. Future studies should focus on separating client-led control mechanisms and contractor-led control mechanisms of the relational contracting and its effect on project performance.

The research study contributes in formalizing the governance structure of supply chain in dealing with the complex construction projects. The study has contributed in understanding the client-led initiatives and contractor-led supply initiatives of establishing the supply chain of construction projects. It has demonstrated the mediating role of dyadic factors and PSFs in improving the project performance.