Table V

Survey of resilience elements from the literature

ScopeCapabilityDetailsNo. Papers(%)Sources
Intra-Organisational (IO)IO 1. FlexibilityAbility of an organisation to adapt with minimum time and effort.
Concerns the ability to switch suppliers, substitute ingredients, outsource processes, share materials and staff between sites, the ability of staff to fulfil multiple roles (IO15) and the levels of control over market position (IO16)
914.75Tukamuhabwa et al. (2015), Kamalahmadi and Parast (2016), Pal et al. (2014), Stecke and Kumar (2009), Pettit et al. (2010), Tang (2006), Tomlin (2006), Zsidisim and Wagner (2010), Carvalho et al. (2012a, 2012b)
IO 2. Risk Aware CultureDescribes the infrastructure a firm has in place to manage risk.
For example this could include efficiency standards (IO4) such as six sigma, and the presence of Business Continuity (IO13) and Enterprise Risk Management Programmes
914.75Christopher and Lee (2004), Blome and Schoenherr (2011), Jüttner and Maklan. (2011), Gölgeci and Ponomarov (2015), Ritchie and Brindley (2007), Peck (2005), Scholten et al. (2014), Thun and Hoenig (2011), Neureuther and Kenyon (2009) 
IO 3. RedundancyConcerns the ability to alternate production capacity and to call upon surplus raw materials and finished inventory813.11Tukamuhabwa et al. (2015), Ponis and Koronis (2012), Manuj and Mentzer (2008), Stecke and Kumar (2009), Wieland and Wallenburg (2013), Aigbogun et al. (2014), Carvalho et al. (2012b), McKinnon (2006) 
IO 4. Early Warning Detection SystemsThis concerns the use of foresight to extend preparation time.
Specifically, it can include intelligence generation through big data and the internet of things
58.1Suweis et al. (2015), Christopher and Peck (2004), Stecke and Kumar (2009), Gunasekaran et al. (2011), Pettit et al. (2010) 
IO 5. SecurityThis refers to the security of both electronic information and the physical security of assets46.5Pettit et al. (2010), Stecke and Kumar (2009), Faisal and Banwet (2006), Elleuch et al. (2016a, 2016b)
IO 6. EfficiencyThe way in which resources are used so as to avoid unnecessary waste and disruption.
This could refer to the presence of efficiency standards such as six sigma
46.5Fiksel (2003), Pettit et al. (2010), Aramyan et al. (2007), Elleuch et al. (2016a, 2016b)
IO 7. Contingency PlansPre-established crisis management teams and procedural guides for potential disruptions to enhance response speed and effectiveness.
Most effective when combined with “IO4 Early Warning Detection Systems”
34.9Zsidisin et al. (2010), Jüttner and Maklan (2011), Dani and Deep (2010) 
IO 8. Inventory ManagementIncreased visibility of supplier operations and transport mediums to reduce the amount of redundancy required in a disruption.
Closely related to “IS4 Visibility”
34.9Kleindorfer et al. (2005), Wu et al. (2013), Stecke and Kumar (2009) 
IO 9. Financial StrengthAvailability of easily accessible financial assets. Linked to “IO1 Flexibility”34.9Pettit et al. (2010), Pereira et al. (2014), Dani and Deep (2010) 
IO 10. Leadership CommitmentThis concerns the quality of leadership and how it interacts with the rest of an organisation.
It might concern the ability to prioritise, inspire and to learn from others/past disruptions.
Important in establishing effective risk management culture
34.9Durach et al. (2015), Kamalahmadi and Parast (2016), Dani and Deep (2010) 
I0 11. RelationshipsThe way in which different teams and departments interact.
Important aspects include communication methods and the routes of information flow
34.9Smith et al. (2016), Durach et al. (2015), Christopher and Lee (2004) 
IO 12. Human Resource ManagementThis concerns the ways in which human assets are trained, retained and allowed to develop.
Examples include skillsets generated (particularly ability to fulfil multiple roles) and the use of staff in identifying risk
23.2Durach et al. (2015), Stecke and Kumar (2009) 
IO 13. Business ContinuityContingency planning for the protection of “mission critical assets”.
Key component of “IS10 Robustness”
23.2Peck (2005), Suweis et al. (2015) 
IO 14. InnovationPresence of shared beliefs, openness to learning and joint decision-making23.2Kamalahmadi and Parast (2016), Gölgeci and Ponomarov (2015) 
IO 15. Knowledge ManagementStaff skills and knowledge retention that effect their ability to change pace and type of role in a disruption.
Sometimes cited as a component of “IO1 Flexibility”
23.2Scholten et al. (2014), Pereira et al. (2014) 
IO 16. Market PositionFactors such as market share, product differentiation and customer communications which can be manipulated to aid recovery in the event of a disruption.
An aspect of “IO1 Flexibility”
11.6Pettit et al. (2010) 
IO 17. Adaptive ManagementActive monitoring of decisions made in relation to past disruptions and their outcomes for incremental learning11.6Milestad and Darnhofer (2003) 
Intra-Supply Chain (IS)IS 1. CollaborationRefers to two or more actors working together to generate advantages that could not be achieved individually. This could be in the form of:
Shared forecasting, postponement and risk sharing.
Cooperation and partnership.
Aim of reducing uncertainties and complexity.
Integration of systems
1931.1Jüttner et al. (2011), Pettit et al. (2010), Christopher and Peck. (2004), Carvalho et al. (2014), Scholten et al. (2014), Barratt et al. (2004), Zacharia et al. (2009), Smith et al. (2016), Hohenstein et al. (2015), Tukamuhabwa et al. (2015), Kamalahmadi and Parast (2016), Gunasekaran et al. (2011), Chen et al. (2012), Giannakis and Louis (2011), Johnson et al. (2013), Habermann et al. (2015), Lee. (2014), Dani and Deep (2010), Elleuch et al. (2016a, 2016b)
IS 2. FlexibilityDegree by which a supply chain can respond to changing operating environments and customer requests.
Supply chain wide alternative options achieved through partnerships.
Ability to move staff and equipment rapidly
1829.5Lam and Bai (2016), Natarajarathinam et al. (2009), Pettit et al. (2013), Tendall et al. (2015), Estrada-Flores et al. (2009), Stecke and Kumar (2009), Ivanov et al. (2015), Jüttner et al. (2011), Durach et al. (2015), Suweis et al. (2015), Soni et al. (2014), Skipper et al. (2009), Smith et al. (2016), Swafford et al. (2006), Stevenson and Spring (2007), Gligor and Holcomb. (2012), Aramyan et al. (2007) 
IS 3. AgilityThe ability to respond quickly to unpredictable changes in supply and demand by changing configuration at tactical level.
Examples include logistics capabilities and manufacturing flexibility
1727.8Christopher and Peck (2004), Wieland and Wallenburg (2013), Durach et al. (2015), Braunscheidel and Suresh (2009), Swafford et al. (2006), Durach et al. (2015), Tendall et al. (2015), Sharifi and Zhang (1999), Hohenstein et al. (2015), Tukamuhabwa et al. (2015), Kamalahmadi and Parast (2016), Gligor and Holcomb (2012), Pereira et al. (2014), Scholten et al. (2014), Aramyan et al. (2007), Johnson (2013), Dubey et al (2014), Sharifi and Zhang (1999) 
IS 4. VisibilityThe ability to see structures, processes and products from one end of the supply chain to the other.
Includes factors that aid availability of information such as channels for the sharing of risk information and IT infrastructure as well as frameworks guiding how this information is delivered to the right people at the right time
1524.5Christopher and Lee (2004), Pettit et al. (2013) Brandon-Jones et al. (2014), Carvalho et al. (2014, Soni (2014), Gunasekaran (2004), Smith et al. (2016), Durach et al. (2015), Faisal and Banwet (2006), Kamalahmadi and Parast (2016), Pereira et al. (2014), Stecke and Kumar (2009), Gunasekaran et al. (2011), Aigbogun et al. (2014), Johnson et al. (2013) 
IS 5. AdaptabilityThe ability of a system to adapt incrementally or to completely transform in response to a changing operating environment914.75Fiksel (2003), King (2008), Tukamuhabwa et al. (2015), Pettit.(2010), Sinclair et al. (2014), Estrada-Flores et al. (2009), Milestad and Darnhofer (2003), Lebel et al. (2006) Tendall et al. (2015) 
IS 6. Node CriticalityExists when a single entity within a supply chain is depended upon by a disproportionately large number of other entities, for example, a key port facility.
Can significantly influence “IS2 Flexibility”
69.8Durach et al. (2015), Kamalahmadi and Parast (2016), Stecke and Kumar (2009), Aigbogun et al. (2014), Ratick et al. (2008), Fraser et al. (2005) 
IS 7.Information flowRefers to the efficiency and effectiveness of information flow.
Key determinant of “IS1 Collaboration”
69.8Smith et al. (2016), Kamalahmadi and Parast (2016), Christopher and Peck (2004), Soni et al. (2014), Pereira et al. (2014), Faisal and Banwet (2006) 
IS 8. VelocitySpeed at which products reach end consumer.
Specific examples include efficiency, reduction of lead times and synchronisation of schedules.
Element of “IS3 Agility”
69.8Carvalho et al. (2014), Jüttner et al. (2011), Christopher and Peck (2004), Kamalahmadi and Parast (2016), Pereira et al. (2014), Johnson et al. (2013) 
IS 9. RedundancyConcerns the system wide design of emergency back-up and storage facilities, surplus pathways between nodes and the extent to which elements are replaceable69.8Spiegler et al. (2012), Ivanov et al. (2015), Milestad and Darnhofer (2003), Bode et al. (2011), Ratick et al. (2008), Fiksel (2003) 
IS 10. RobustnessConcerns the ability of a system to withstand a given amount of stress without loss of function69.8McDaniels et al. (2008), Bruneau et al. (2003), Tendall et al. (2015), Ivanov et al. (2015), Rodriguez-Nikl (2015), Wieland and Wallenburg (2013) 
IS 11. Self-organisationConcerns the autonomy, ability and will of a system to internally organise itself as opposed to being completely at the whim of external forces46.5Milestad and Darnhofer (2003), Estrada-Flores et al. (2009), Lebel et al. (2006), Pettit et al. (2010) 
IS 12. RapidityCapacity to meet priorities and achieve goals in a timely manner to contain losses and avoid future disruption46.5Rodriguez-Nikl (2015), McDaniels et al. (2008), Tendall et al. (2015), Bruneau et al. (2003) 
IS 13. Established Communication LinesPre-planned communication infrastructure and protocols that aid response speed and effectiveness in a disruption situation46.5Suweis et al. (2015), Hohenstein et al. (2015), Stecke and Kumar (2009), Dani and Deep (2010) 
1S 14. TrustRefers to the presence of enough trust between system actors that problems can be discussed openly.
Key determinant of “IS1 Collaboration”
34.9Kamalahmadi and Parast (2016), Pereira et al. (2014), Faisal and Banwet (2006) 
IS 15. Risk Management OrientationPresence of risk management strategies throughout operations of all supply chain partners.
Can significantly reduce recovery time and cost post-disruption
23.2Durach et al. (2015), Jüttner et al. (2011)
IS 16. DiversityRefers to variety in inputs, suppliers, staff and customers and important in the generation of system wide redundancy23.2Fiksel (2003), Carvalho et al. (2012a, 2012b),
IS 17. CohesionThe existence of unifying factors between supply chain organisations, such as mutual end consumers, that can drive collaboration23.2Fiksel (2003), Carvalho et al. (2012a, 2012b),
IS 18. Network ComplexityRefers to the number of nodes and length between them in a supply chain.
Can effect rerouting options and communication times in a disruption
23.2Durach et al. (2015), Pettit et al. (2010) 
IS 19. Co-LearningThis refers to the systems in place to aid supply chain wide joint learning from both near misses and actual disruptions23.2King (2008), Lebel et al. (2006) 
IS 20. Bargaining PowerThe presence of factors such as significant vertical integration that can influence the ability of other entities to act in a resilient manor11.6Durach et al. (2015) 
IS 21. Community resourcesThe range of ecological, economic, social, physical, institutional and cultural resources a community can draw upon when faced with disruption11.6Smith et al. (2016) 
IS 22. ResponsivenessSupply chain responsiveness to customers, for example, the ability to drive down lead times11.6Aramyan et al. (2007) 
IS 23. Buffer capacityConcerns the amount of change a system can undergo while retaining core functions.
Major similarities with “IS10 Robustness”
11.6Milestad and Darnhofer (2003) 

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