The influence of organizational culture on healthcare supply chain resilience: moderating role of technology orientation

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.

2017 ◽  
Vol 32 (7) ◽  
pp. 913-924 ◽  
Author(s):  
Jeen-Su Lim ◽  
William K. Darley ◽  
David Marion

Purpose The study aims to explore supply chain influence (SCI) on the linkages among market orientation, innovation capabilities and firm performance (FP), using the resource-based view as a theoretical backdrop. Design Survey data from 182 top managers who are involved in strategy formulation and innovative direction of their companies was collected and analyzed using moderated multiple regression analysis. Findings Results revealed a moderating role of the SCI in that the proactive market orientation (PMO) and FP relationship is stronger when SCI is high, and innovation commercialization capability (ICC) and FP relationship is stronger when SCI is low. Practical implications Firms pursuing high PMO strategy must collaborate with supply chain function to achieve the full effect of PMO. Additionally, as supply chain is critical to meeting customers’ needs, these firms should allow supply chain to exert greater influence to enjoy the positive effects of PMO in addition to ensuring full integration into marketing strategy implementation. Also, firms with high ICC need to limit SCI to maximize the benefit of ICC on FP, just as innovation management needs to be cognizant of other functional areas. Originality/value The study investigates the potential moderating role of SCI on the relationships among market orientation, ICC and FP. The study fills a gap in the understanding of the nature and role of supply chain in the marketing–supply chain interaction, and the impact on FP.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiang Lu ◽  
Jinliang Chen ◽  
Hua Song ◽  
Xiangyu Zhou

Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.


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.


2018 ◽  
Vol 38 (12) ◽  
pp. 2389-2412 ◽  
Author(s):  
Hugo K.S. Lam

Purpose The purpose of this paper is to theoretically hypothesise and empirically test the impact of sustainable supply chain practices (SSCPs) on firms’ financial risk. Design/methodology/approach This research adopts signalling theory to explain the signalling role of SSCPs and the moderating role of the signalling environment in terms of supply chain characteristics. It collects and combines longitudinal secondary data from multiple sources to test the direct impact of SSCPs on firms’ financial risk and the moderating role of supply chain complexity and efficiency. It conducts various additional tests to check the robustness of the findings and to account for alternative explanations. Findings This research shows that SSCPs help firms reduce financial risk but do not affect their returns. Moreover, the risk reduction of SSCPs is greater for firms with more complex and efficient supply chains. The findings are robust to alternative variable measurements and analysing strategies. Research limitations/implications This research reveals the role of SSCPs in reducing financial risk, urging researchers to pay more attention to the financial risk implications of supply chain practices in general and SSCPs in particular. Practical implications This research encourages firms to engage in SSCPs to reduce financial risk and enables them to assess the urgency of their SSCPs investments in view of the complexity and efficiency of their supply chains. Originality/value This is the first research examining the impact of SSCPs on financial risk, based on longitudinal secondary data and signalling theory. The empirical evidence documented and the theoretical perspective adopted offer important implications for future practice and research on SSCPs.


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