Towards understanding key enablers to green humanitarian supply chain management practices

Humanitarian supply chains (HSCs) by their very nature require urgent reaction to unforeseeable needs, making it difficult to properly plan for the support of actual demands. As such, integrating sustainability into traditional HSC practices continues to present a challenge to governments, nongovernmental organizations (NGOs) and other humanitarian-related agencies. This study focuses on identifying and categorizing the leading enablers to green humanitarian supply chains (GHSCs) and proposes a model for improving the responsiveness based upon a fuzzy total interpretive structural modelling approach.,Total interpretive structural modelling (TISM) uses group decision-making to identify contextual relationships among each pair of enablers and elucidates the nature of each underlying relationship. The fuzzy TISM shows the level of strength (very high influence, high influence, low influence and very low influence) of each enabler in relation to other enablers, which can help to inform management decision-making.,GHSC management requires strategic planning of inventory and logistics management. The importance of collaborative relationship building with HSC partners for developing capability and the effective use of available resources are keys to success. These improved relationships also help to promote postponement and similar speculation-based logistics strategies, as well as advanced purchasing and pre-positioning strategies. Finally, the speed and quality of response is found to be the top enabler in GHSC management.,One noted shortcoming of the chosen research method is its reliance on subjective expert judgement. However, collecting judgements is at the basis of many research methods, and the research team took utmost care throughout the research process to allay biases. Future empirical research can further examine the relationships suggested herein. Managers can use the model developed in this research to consider impactful ways to design and execute sustainable HSCs.,To the best of the authors' knowledge, this is a novel attempt to identify enablers to GHSC management. Secondly, the research team has used an advanced methodology (fuzzy TISM) to develop the contextual inter-relationships among the enablers which has not been used earlier in this direction before and thus advances the GHSC literature.

[1]  P. Daugherty,et al.  Lean Launch: Managing Product Introduction Risk Through Response‐Based Logistics , 1999 .

[2]  James L. Hoyt,et al.  From arms‐length to collaborative relationships in the supply chain , 2000 .

[3]  Adam C. Faruk,et al.  Horses for Courses: Explaining the Gap Between the Theory and Practice of Green Supply , 2006 .

[4]  D. Hilhorst Being good at doing good? Quality and accountability of humanitarian NGOs. , 2002, Disasters.

[5]  T. Skjoett‐Larsen,et al.  Supply chain collaboration: Theoretical perspectives and empirical evidence , 2003 .

[6]  D. Tranfield,et al.  Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review , 2003 .

[7]  Reinhard Kaiser,et al.  The application of geographic information systems and global positioning systems in humanitarian emergencies: lessons learned, programme implications and future research. , 2003, Disasters.

[8]  Rajib Shaw,et al.  From disaster to sustainable civil society: the Kobe experience. , 2004, Disasters.

[9]  R. Waldman,et al.  Lessons learned from complex emergencies over past decade , 2004, The Lancet.

[10]  Stephen A. Kotleba,et al.  Inventory modelling for complex emergencies in humanitarian relief operations , 2006 .

[11]  Anup Roop Akkihal,et al.  Inventory pre-positioning for humanitarian operations , 2006 .

[12]  Rafal Cegiela,et al.  Selecting Technology for Disaster Recovery , 2006, 2006 International Conference on Dependability of Computer Systems.

[13]  Luk N. Van Wassenhove,et al.  Humanitarian aid logistics: supply chain management in high gear , 2006, J. Oper. Res. Soc..

[14]  R. Oloruntoba,et al.  Humanitarian aid : an agile supply chain? , 2006 .

[15]  L. V. Van Wassenhove Humanitarian aid logistics: supply chain management in high gear , 2006 .

[16]  Mei-Shiang Chang,et al.  A scenario planning approach for the flood emergency logistics preparation problem under uncertainty , 2007 .

[17]  G. Kovács,et al.  Humanitarian logistics in disaster relief operations , 2007 .

[18]  D. Wenger,et al.  Sustainable Disaster Recovery: Operationalizing An Existing Agenda , 2007 .

[19]  J. Linton,et al.  Sustainable supply chains: An introduction , 2007 .

[20]  Otto Rentz,et al.  Towards sustainable production networks , 2007 .

[21]  Benita M. Beamon,et al.  Performance measurement in humanitarian relief chains , 2008 .

[22]  E. Maspero,et al.  Rise of humanitarian logistics , 2008 .

[23]  Eva Regnier,et al.  Doing something about the weather , 2008 .

[24]  Melinda Laituri,et al.  On Line Disaster Response Community: People as Sensors of High Magnitude Disasters Using Internet GIS , 2008, Sensors.

[25]  Marianne Jahre,et al.  Does the Current Constraints in Funding Promote Failure in Humanitarian Supply Chains? , 2008 .

[26]  G. Kovács,et al.  Responding to Disruptions in the Supply Network – From Dormant to Action , 2009 .

[27]  Sabine F. Schulz,et al.  Logistics performance management in action within a humanitarian organization , 2009 .

[28]  Marianne Jahre,et al.  Theory development in humanitarian logistics: a framework and three cases , 2009 .

[29]  Aruna Apte,et al.  Humanitarian Logistics: A New Field of Research and Action , 2010, Found. Trends Technol. Inf. Oper. Manag..

[30]  Luk N. Van Wassenhove,et al.  From preparedness to partnerships: case study research on humanitarian logistics , 2009, Int. Trans. Oper. Res..

[31]  P. Larson,et al.  Not‐for‐profit supply chains in interrupted environments , 2009 .

[32]  S. Pettit,et al.  Critical success factors in the context of humanitarian aid supply chains , 2009 .

[33]  A. Lindgreen,et al.  Developing supply chains in disaster relief operations through cross‐sector socially oriented collaborations: a theoretical model , 2009 .

[34]  Bernard Amadei,et al.  A Model for Sustainable Humanitarian Engineering Projects , 2009 .

[35]  Wilhelm Dangelmaier,et al.  A humanitarian supply chain process reference model , 2009, Int. J. Serv. Technol. Manag..

[36]  E. A. van der Laan,et al.  Performance measurement in humanitarian supply chains , 2009 .

[37]  G. Kovács,et al.  Identifying challenges in humanitarian logistics , 2009 .

[38]  Mohd. Nishat Faisal,et al.  Sustainable supply chains: a study of interaction among the enablers , 2010, Bus. Process. Manag. J..

[39]  G. Kovács,et al.  The sustainable agenda and energy efficiency , 2010 .

[40]  S. Pettit,et al.  Transforming humanitarian logistics: the journey to supply network management , 2010 .

[41]  Caroline C. Krejci,et al.  Coordination in humanitarian relief chains: Practices, challenges and opportunities , 2010 .

[42]  G. Kovács,et al.  The application of "swift trust" to humanitarian logistics , 2010 .

[43]  Gilles Paché,et al.  Investigating humanitarian logistics issues: from operations management to strategic action , 2010 .

[44]  C. Zobel,et al.  A two‐stage procurement model for humanitarian relief supply chains , 2011 .

[45]  Quan Zhou,et al.  Identifying critical success factors in emergency management using a fuzzy DEMATEL method , 2011 .

[46]  A. Zwitter,et al.  International Law and Humanitarian Assistance , 2011 .

[47]  Ron McLachlin,et al.  Building humanitarian supply chain relationships: lessons from leading practitioners , 2011 .

[48]  Ehsan Nikbakhsh,et al.  Humanitarian logistics planning in disaster relief operations , 2011 .

[49]  Joe B. Hanna,et al.  Research in humanitarian logistics , 2011 .

[50]  Luke Houghton,et al.  The wicked problem of humanitarian logistics and disaster relief aid , 2011 .

[51]  Shuang-Hua Yang,et al.  Hybrid Zigbee RFID sensor network for humanitarian logistics centre management , 2011, J. Netw. Comput. Appl..

[52]  Stanley E. Fawcett,et al.  Information Technology as an Enabler of Supply Chain Collaboration: A Dynamic-Capabilities Perspective , 2011 .

[53]  G. Kovács,et al.  Trends and developments in humanitarian logistics – a gap analysis , 2011 .

[54]  A. Zwitter,et al.  International Law and Humanitarian Assistance : A Crosscut Through Legal Issues Pertaining to Humanitarianism , 2011 .

[55]  Jacques Renaud,et al.  A covering tour approach to the location of satellite distribution centers to supply humanitarian aid , 2012, Eur. J. Oper. Res..

[56]  Mathew P. White,et al.  Risk interpretation and action: A conceptual framework for responses to natural hazards , 2012 .

[57]  Silvia Rossi,et al.  Agile and lean principles in the humanitarian supply chain , 2012 .

[58]  Shaligram Pokharel,et al.  Optimization models in emergency logistics: A literature review , 2012 .

[59]  Sushil Interpreting the Interpretive Structural Model , 2012, Global Journal of Flexible Systems Management.

[60]  J. Sarkis,et al.  A Study of Barriers to Greening the Relief Supply Chain , 2012 .

[61]  E. W. Davis,et al.  Humanitarian and Disaster Relief Supply Chains: A Matter of Life and Death , 2012 .

[62]  Philip Beske,et al.  Dynamic capabilities and sustainable supply chain management , 2012 .

[63]  Pervaiz Akhtar,et al.  Coordination in humanitarian relief chains: chain coordinators , 2012 .

[64]  J. Swann,et al.  Humanitarian Logistics: Advanced Purchasing and Pre-Positioning of Relief Items , 2013 .

[65]  Sean P. Goffnett,et al.  Integrating service-learning and humanitarian logistics education , 2013 .

[66]  Felix T.S. Chan,et al.  Analysis of flexible decision strategies for sustainability-focused green product recovery system , 2013 .

[67]  Kinshuk,et al.  Research on e-learning in the workplace 2000–2012: A bibliometric analysis of the literature , 2014 .

[68]  E. Boyd,et al.  Science for Humanitarian Emergencies and Resilience (SHEAR) scoping study: Annex 3 - Early warning system and risk assessment case studies , 2014 .

[69]  Arni Halldorsson,et al.  Borrowing theories in humanitarian supply chain management , 2015 .

[70]  A. Trivedi,et al.  Analysis of key factors for waste management in humanitarian response: An interpretive structural modelling approach , 2015 .

[71]  E. Blanco,et al.  Carbon Efficiency of Humanitarian Supply Chains: Evidence from French Red Cross Operations , 2015 .

[72]  Akhilesh Barve,et al.  Analysis of critical success factors of humanitarian supply chain: An application of Interpretive Structural Modeling , 2015 .

[73]  Gaurav Kabra,et al.  Identification and prioritization of coordination barriers in humanitarian supply chain management , 2015 .

[74]  S. Mangla,et al.  Risk analysis in green supply chain using fuzzy AHP approach: A case study , 2015 .

[75]  Cory Searcy,et al.  An analysis of metrics used to measure performance in green and sustainable supply chains , 2015 .

[76]  Surya Prakash Singh,et al.  Fuzzy-TISM: A Fuzzy Extension of TISM for Group Decision Making , 2014, Global Journal of Flexible Systems Management.

[77]  Linda S. G. L. Wauben,et al.  Systemic barriers and enablers in humanitarian technology transfer , 2016 .

[78]  G. Reiner,et al.  Drivers of government restrictions on humanitarian supply chains: An exploratory study , 2016 .

[79]  P. Tatham,et al.  Developing organisational capabilities to support agility in humanitarian logistics: An exploratory study , 2016 .

[80]  Jennifer Bealt,et al.  Collaborative relationships between logistics service providers and humanitarian organizations during disaster relief operations , 2016 .

[81]  Aruna Apte,et al.  Capabilities and competencies in humanitarian operations , 2016 .

[82]  Tina Wakolbinger,et al.  The funding—Humanitarian supply chain interface , 2016 .

[83]  A. Gunasekaran,et al.  The sustainable humanitarian supply chain design: agility, adaptability and alignment , 2016 .

[84]  Tushar N. Desai,et al.  Lean Six Sigma: a categorized review of the literature , 2016 .

[85]  François-Xavier Delmonteil,et al.  The role of satellite technologies in relief logistics , 2017 .

[86]  Rajesh Attri Interpretive structural modelling: a comprehensive literature review on applications , 2017 .

[87]  S. Gold,et al.  Sustainable humanitarian supply chain management – exploring new theory , 2017 .

[88]  Peter Tatham,et al.  Flying maggots: a smart logistic solution to an enduring medical challenge , 2017 .

[89]  Paulo Gonçalves,et al.  Understanding the contribution of effective communication strategies to program performance in humanitarian organizations , 2017 .

[90]  Lijo John Review of Empirical Studies in Humanitarian Supply Chain Management: Methodological Considerations, Recent Trends and Future Directions , 2018 .

[91]  Sushil How to check correctness of total interpretive structural models? , 2016, Annals of Operations Research.

[92]  S. Mangla,et al.  Benchmarking the risk assessment in green supply chain using fuzzy approach to FMEA , 2018, Benchmarking: An International Journal.

[93]  Gunjan Yadav,et al.  Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study , 2018, Int. J. Prod. Res..

[94]  S. Ali Torabi,et al.  Integrated relief pre-positioning and procurement planning in humanitarian supply chains , 2018 .

[95]  Shinya Hanaoka,et al.  Fuzzy multi-attribute group decision making to identify the order of establishing temporary logistics hubs during disaster response , 2019, Journal of Humanitarian Logistics and Supply Chain Management.

[96]  S. Mangla,et al.  Change management for sustainability: Evaluating the role of human, operational and technological factors in leading Indian firms in home appliances sector , 2019, Journal of Cleaner Production.

[97]  Yang Liu,et al.  Organizational coordination in sustainable humanitarian supply chain: An evolutionary game approach , 2019, Journal of Cleaner Production.

[98]  Pravin P. Patil,et al.  Logistics and distribution challenges to managing operations for corporate sustainability: Study on leading Indian diary organizations , 2019, Journal of Cleaner Production.

[99]  Gunjan Yadav,et al.  An analysis of causal relationships among challenges impeding redistributed manufacturing in emerging economies , 2019, Journal of Cleaner Production.

[100]  Tharcisio Cotta Fontainha,et al.  Purchasing strategies for relief items in humanitarian operations , 2019, Journal of Humanitarian Logistics and Supply Chain Management.

[101]  Graham Heaslip,et al.  Effectiveness of humanitarian logistics training , 2019, Journal of Humanitarian Logistics and Supply Chain Management.

[102]  S. Mangla,et al.  The adoption of operational environmental sustainability approaches in the Thai manufacturing sector , 2019, Journal of Cleaner Production.

[103]  Matthew Pepper,et al.  A disaster typology towards informing humanitarian relief supply chain design , 2019, Journal of Humanitarian Logistics and Supply Chain Management.

[104]  M. Zarei,et al.  On the role of regional hubs in the environmental sustainability of humanitarian supply chains , 2019, Sustainable Development.

[105]  Kenneth Sörensen,et al.  Instances for the problem of pre-positioning emergency supplies , 2019, Journal of Humanitarian Logistics and Supply Chain Management.