The Future of Manufacturing Global Value Chains, Smart Specialization and Flexibility!

© 2018, Global Institute of Flexible Systems Management. The future manufacturing and global value chain will be highly dominated by technological and business innovations to cope with the accelerating pace of changes in consumer behaviour and global business environment. This editorial for the special issue “The future of manufacturing: global value chains, smart specialization and flexibility” enriches the topic of future of manufacturing operations and supply chain management literature. In the line with the theme, this special issue publishes five articles that clearly articulate the emerging thematic discussions

An AHP integrated QFD approach for three dimensional blended value requirements in sustainable e-business modelling: The case of a commercial bank

Fulfillment of customer's requirements alone is not enough to be competitive in today's challenging market. Instead, blended value requirements need to be fulfilled for customer satisfaction, for efficient value process, and to achieve strategic goals including profit. On the other hand, 'e-business modelling' and 'sustainability of the business' are already established terms as e-business converts technology into economic value. Although e-business modelling and sustainability are the two major global trends still there is no common understanding about the elements that need to be used for a sustainable e-business model. This research approach, therefore, uses an Analytic Hierarchy Process (AHP) integrated Quality Function Deployment (QFD) approach to show how blended value requirements can be identified and efficiently fulfilled to achieve sustainability of e-business with a comprehensive case study. This approach is unique in the sense that in developing the model blended value requirements are considered from three dimensions and blended value concept is integrated with customer's value requirements, business's value requirements, and process's value requirements

An AHP-QFD integrated approach to meet three dimensional environmental value requirements in sustainable e-business modelling

It is surprising that although 'e-business' and 'sustainability' are the two current major global trends but none of the e-business modelling ideas covers the sustainability aspects of the business. Environmental value requirement is one of the three pillars of sustainability concept that must be fulfilled to achieve a fully sustainable e-business model. A little literature is available on 'sustainability of ICT' but none of them clearly explains how environmental value requirements can be identified and efficiently fulfilled to achieve sustainability in e-business. Recently, companies are successfully using Quality Function Deployment (QFD) as a powerful tool in various fields that addresses strategic and operational decisions in businesses. This research approach, therefore, uses an Analytic Hierarchy Process (AHP) integrated QFD approach to show how environmental value requirements can be identified and efficiently fulfilled to achieve sustainability of e-business with a comprehensive case study. This approach is unique in the sense that in developing the model environmental value requirements are considered from three dimensions and environmental value concept is integrated with customer's value requirements, business's value requirements, and process's value requirements. The approach uses the case of a commercial bank in Bangladesh for the demonstration of the approach

Fake news on Facebook and their impact on supply chain disruption during COVID-19.

Social media (SM) fake news has become a serious concern especially during COVID-19. In this study, we develop a research model to investigate to what extent SM fake news contributes to supply chain disruption (SCD), and what are the different SM affordances that contribute to SM fake news. To test the derived hypotheses with survey data, we have applied partial least square based structural equation modelling (PLS-SEM) technique. Further, to identify how different configurations of SC resilience (SCR) capabilities reduce SCD, we have used fuzzy set qualitative comparative analysis (fsQCA). The results show that SM affordances lead to fake news, which increases consumer panic buying (CPB); CPB in turn increases SCD. In addition, SM fake news directly increases SCD. The moderation test suggests that, SCR capability, as a higher-order construct, decreases the effect of CPB on SCD; however, neither of the capabilities individually moderates. Complimentarily, the fsQCA results suggest that no single capability but their three specific configurations reduce SCD. This work offers a new theoretical perspective to study SCD through SM fake news. Our research advances the knowledge of SCR from a configurational lens by adopting an equifinal means towards mitigating disruption. This research will also assist the operations and SC managers to strategize and understand which combination of resilience capabilities is the most effective in tackling disruptions during a crisis e.g., COVID-19. In addition, by identifying the relative role of different SM affordances, this study provides pragmatic insights into SM affordance measures that combat fake news on SM

Flexibility in Enhancing Supply Chain Resilience: Developing a Resilience Capability Portfolio in the Event of Severe Disruption

The current study aimed to determine alternative configurations of supply chain resilience strategies for managing supply chain performance (SCP) during a severe disruption. To do this, a multi-method and multi-study approach was adopted. Phase 1 of the study employed a qualitative approach to explore supply chain risk factors and their mitigation strategies during the COVID-19 pandemic. In Phase 2, the quality function deployment technique was used alongside quantitative case studies to determine the most critical risk factors and most crucial resilience strategies. The final phase, Phase 3, used fuzzy set qualitative comparative analysis to determine the alternative portfolio of strategies for SCP to create flexibility when employing resilience strategies. The results revealed that implementing resilience strategies alone is ineffective in improving SCP, while resilience strategies combined with the nullification of risk factors enhance SCP. The study also revealed two alternative configurations of resilience strategies to tackle the relevant risk factors. These findings can be used to guide managers toward identifying the most suitable configuration of resilience strategies to manage severe and unprecedented supply chain risk. The alternative configurations of resilience strategies can also provide flexibility to managers in deciding the best course of action for their firms

A Decision Support Model for Barriers and Optimal Strategy Design in Sustainable Humanitarian Supply Chain Management

Sustainable humanitarian supply chain (SHSC) management enables effective and efficient responses to natural and human-made disasters. Existing literature falls short of offering decision support (DS) models to address the barriers and strategies to designing SHSC. To this end, this study develops a DS model that identifies and prioritizes the barriers to SHSC and determines optimal strategies for mitigating those barriers. This study adopted both qualitative and quantitative approaches. As part of the qualitative approach, a field study was applied using in-depth interviews to determine the barriers and corresponding strategies, while under the quantitative approach, a quality function deployment (QFD) integrated optimization technique was used to prioritize barriers and determine optimal strategies to mitigate the SHSC barriers. The study found that a lack of contingency planning, the prevalence of corruption and political interference, and a lack of social and environmental awareness are the most important barriers, while logistics outsourcing, supply chain (SC) performance management, and SC flexibility are the most essential strategies. We also found that our DS model is highly flexible and can be adapted under different scenarios, which makes the model applicable to different contexts. This study has a significant contribution to literature and practice. We developed a novel decision model that captured cost savings and leveraged both cost and time savings from interrelated strategies to determine the best optimal strategy while applying QFD-integrated optimization modeling. The paper’s findings will assist humanitarian SC managers in designing an effective, efficient, and sustainable humanitarian SC

A Decision Support Framework for Resilient and Sustainable Service Design

Resilient and sustainable service design is essential for ensuring the longevity and effectiveness of service systems. However, existing literature often neglects key aspects such as articulating resilience attributes and integrating sustainability dimensions. This study proposes a decision support model for a resilient-sustainable service design that merges service design principles with resilient system attributes and organizational sustainability goals. The framework incorporates a multi-objective mathematical programming model and a multi-phased Quality Function Deployment (QFD) approach to derive Pareto optimal solutions using the Brute Force algorithm. Applied in the m-health service sector in Bangladesh, the study reveals significant challenges, including limited awareness of services and logistical inefficiencies. To address these issues, flexible strategies such as demand planning and service innovation are implemented. The findings have direct implications for the improvement of service delivery processes and underscore the importance of considering both resilience and sustainability. While focusing on Bangladesh s m-health sector, the insights gained have broader relevance globally. The integration of resilience and sustainability principles into service design is crucial for addressing complex challenges across sectors and regions. Future research could involve longitudinal studies to capture evolving resilience strategies and explore resilient-sustainable service systems from a broader perspective. This entails examining various factors such as technological advancements and socio-economic dynamics shaping resilient and sustainable service ecosystems

The role of innovativeness and supply chain agility in the Australian service industry: a dynamic capability perspective

Purpose: This paper aims to investigate the conditional indirect effect of innovativeness on performance via supply chain agility (SCA) in the service industry at higher and lower collaborative relationships. Design/methodology/approach: The hypothesised model is operationalised with survey data from 245 Australian service firms collected via LinkedIn and analysed using structural equation modelling and fuzzy set qualitative comparative analysis (fsQCA). Findings: The analysis found that SCA significantly mediates the relationship between innovativeness and performance. Further, the conditional indirect effect of innovativeness on performance via SCA was significant when the collaborative relationship was high. Results also revealed that a configuration of both innovativeness and agility better predicts performance. Originality/value: This study is an early attempt to investigate SCA in service industries by scrutinizing SCA from an innovative point of view. While previous studies have demonstrated the role of innovativeness in enhancing a firm's performance, this study explores this link further by investigating the conditional indirect effect of innovativeness on performance via SCA at different levels of collaborative relationships