scholarly journals The Implications of Macroenvironmental Forces and SMEs Investment Behaviour in the Energy Sector: The Role of Supply Chain Resilience

Heliyon ◽  
2021 ◽  
pp. e08426
Author(s):  
Michael Karikari Appiah ◽  
Daniella Delali Sedegah ◽  
Rosemary Anderson Akolaa
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Shujaat Mubarik ◽  
Nick Bontis ◽  
Mobasher Mubarik ◽  
Tarique Mahmood

PurposeThe main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.Design/methodology/approachData were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.FindingsEmpirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.Practical implicationsFindings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.Originality/valueThis research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juneho Um ◽  
Neungho Han

Purpose This study aims to theoretically hypothesise and empirically explore the relationships amongst global supply chain risks, supply chain resilience and mitigating strategies. Design/methodology/approach The study adopts supply chain resilience as a dynamic capability and resilience capability as a mediating prerequisite in addressing supply chain risk in sourcing, manufacturing and delivery. The moderating role of diverse mitigating strategies is tested to enhance supply chain resilience. Data collected via survey was used for structural equation modelling and additional tests to explore appropriate mitigating strategies for differing risk environments. Findings Achieving better supply chain resilience capability plays an important mediating role between supply chain risks and resilience, while the relationships depend on the performance of seven mitigating strategies. Research limitations/implications The findings contribute to the theoretical development of risk management issues in global supply chains by suggesting the role of supply chain resilience capability. Practical implications The findings offer managerial guidance on how to mitigate the global supply chain risk through the appropriate practice of strategies to strengthen supply chain resilience in an uncertain environment. Originality/value This is the first empirical research examining the impact of mitigating strategies on supply chain resilience. The results provide practical implications for managing uncertain events and offering theoretical insight for future research in supply chain resilience.


Author(s):  
Mohammad Abdullah Shah ◽  
Muhammad Asim ◽  
Salman Manzoor

The study aims to examine the impact of customer integration, internal integration, logistics collaborator integration and supply chain resilience on the resource efficiency of the supply chain firms in Karachi. Sample size included 181 responses with the help of purposive sampling, and the target population was supply chain firms of Karachi. The data was analyzed using PLS-SEM. The study found that the customer integration was significantly affecting SC resilience but negatively affecting resource efficiency. Also, internal integration was not affecting customer integration and SC resilience and resource efficiency but affecting the logistics collaborator integration. Moreover, LCI was significantly affecting customer integration, SC resilience and resource efficiency. Lastly, SC resilience was negatively affecting resource efficiency. The study recommends that the managers need to enhance their logistics collaborator integration as it was found to be significantly improving the customer integration, supply chain resilience and resource efficiency. Moreover, the managers need to improve their customer and internal integration as they can enhance their logistics collaboration integration and resource efficiency.


2017 ◽  
Vol 32 (8) ◽  
pp. 1021-1037 ◽  
Author(s):  
Santanu Mandal

Purpose This paper aims to explore the influence of dimensions of organizational culture, namely, development culture, group culture, rational culture and hierarchical culture, on healthcare supply chain resilience (HCRES). Further, the study explored the moderating role of technology orientation on organizational culture dimensions and healthcare resilience linkages. Design/methodology/approach The study adopted a multi-unit study of different hospital supply chains (SCs). Consequently, perceptual data were gathered from seven dominant entities in a typical medical/hospital SC: hospitals, hotels, chemistry and pharmaceutical, marketing/public relations/promotion, medical equipment manufacturers and surgical suppliers, food and beverage providers (i.e. restaurants) and insurance providers. The responses were gathered using online survey and were analyzed using structural equation modeling. Findings Based on 276 completed responses, positive influences were found for development, group and rational cultures on HCRES. As expected, a negative influence of hierarchical culture was found on HCRES. Further, technological orientation was found to enhance the positive effects of development, group and rational cultures on HCRES. However, no prominent moderation was noted for hierarchical culture’s influence on HCRES. The findings suggested managers to focus more on developing competing values framework (CVF)-based dimensions of organizational culture dimensions for effective risk mitigation so as to provide healthcare services in a timely manner to patients. Originality/value The study is the first to investigate the effects of organizational culture’s dimensions on resilience. The study has empirically established the association between CVF view and dynamic capabilities. The study underlined the importance of resilience in healthcare SCs. Resilience is an important dynamic capability in healthcare SCs to provide uninterrupted treatments and services to patients. Any failure in such a service can be fatal. Further, the study developed the measures of development, group, rational and hierarchical culture for further investigation in healthcare. This study is also the first to develop a measure for resilience in the healthcare sector.


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