In today’s volatile and uncertain humanitarian environment, adopting a purely lean or a purely agile supply chain is not effective. Humanitarian organizations are struggling to obtain the highest possible performance from their supply chains by utilizing and adopting various supply chain designs. This is upon realization that despite the huge chunks of money pumped into humanitarian sector, stringent oversight by donors and expectations from vulnerable populations, humanitarian supply chains still respond in a sluggish, inefficient and poorly coordinated manner to emergencies. The purpose of this study was to explore the influence of supply chain responsiveness and waste management on performance of humanitarian aid organizations in Kenya. The underpinning theories and model in this study included; Decoupling Point theory; Theory of Constraints and SCOR model. Survey research design was employed for this study. The study entailed a census survey of all the 330 humanitarian aid organizations in Kenya with supply chain managers as the unit of observation. Questionnaires were used to collect primary data. Descriptive statistics and inferential statistics was used aided by SPSS version 24 to facilitate data analysis. The data was presented using a combination of statistical and graphical techniques. Trend analysis was used to spot a pattern on the sub-constructs of performance of humanitarian aid organizations for five years. The study findings revealed that supply chain responsiveness and waste management are positively associated with performance of humanitarian aid organizations. From the findings, most humanitarian aid organizations had knowingly or unknowingly partially implemented leagility design in their supply chains. The findings further showed that despite the rise in disaster resource allocation, the culture of preparedness was lacking in the country. Based on these findings and conclusions, the study recommended that to achieve and sustain an efficient and responsive supply chain, humanitarian aid organizations should design, implement and fully adopt leagility design in their humanitarian supply chains. Humanitarian aid organizations are recommended to embrace advanced technologies to improve their supply chain leagility. Donors on the other hand were encouraged to strengthen local capacity of affected communities and increase their funding on humanitarian aid operations. In addition, supply chain professionals should come up with new ways of predicting demand in a volatile, uncertain, complex and ambiguous environment learning from data from previous disasters. The study further recommends for a creation of a disaster preparedness plan that gives the way forward in times of tragedies or disasters.
| Published in | Journal of Business and Economic Development (Volume 6, Issue 1) |
| DOI | 10.11648/j.jbed.20210601.15 |
| Page(s) | 37-57 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Supply Chain Responsiveness, Waste Management, Supply Chain Leagility
| [1] | Jackson, N. M. (2018). Competitive Advantage and Performance of Heavy Construction Equipment Suppliers Nairobi City County, Kenya (Doctoral Dissertation, Kenyatta University). |
| [2] | Chan, A. T., Ngai, E. W., & Moon, K. K. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259 (2), 486-499. |
| [3] | Manning, L., & Soon, J. M. (2016). Building strategic resilience in the food supply chain. British Food Journal, 118 (6), 1477-1493. |
| [4] | Chen, I. J., & Kitsis, A. M. (2017). A research framework of sustainable supply chain management. The International Journal of Logistics Management. |
| [5] | Nakandala, D., & Lau, H. C. (2019). Innovative adoption of hybrid supply chain strategies in urban local fresh food supply chain. Supply Chain Management: An International Journal. |
| [6] | Montz, B. E., Tobin, G. A., & Hagelman, R. R. (2017). Natural hazards: explanation and integration. Guilford Publications. |
| [7] | Apte, A., Goncalves, P., & Yoho, K. (2016). Capabilities and competencies in humanitarian operations. Journal of Humanitarian Logistics and Supply Chain Management, 6 (2), 240-258. |
| [8] | Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, S. J., & Fosso-Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production, 142, 1108-1118. |
| [9] | Olaogbebikan, J. E., & Oloruntoba, R. (2017). Similarities between disaster supply chains and commercial supply chains: a SCM process view. Annals of Operations Research, 1-26. |
| [10] | Dubey, R., & Gunasekaran, A. (2016). The sustainable humanitarian supply chain design: agility, adaptability and alignment. International Journal of Logistics Research and Applications, 19 (1), 62-82. |
| [11] | Datta, P. P. (2017). Enhancing competitive advantage by constructing supply chains to achieve superior performance. Production Planning & Control, 28 (1), 57-74. |
| [12] | Nayak, R., & Choudhary, S. (2020). Operational excellence in humanitarian logistics and supply chain management through leagile framework: a case study from a non-mature economy. Production Planning & Control, 1-16. |
| [13] | Mostafa, S., & Dumrak, J. (2017). A Waste Elimination Process: An Approach for Lean and Sustainable Manufacturing Systems. In Green Supply Chain Management for Sustainable Business Practice (pp. 111-152). IGI Global. |
| [14] | Bortolotti, T., Romano, P., Martinez-Jurado, P. J., & Moyano-Fuentes, J. (2016). Towards a theory for lean implementation in supply networks. International Journal of Production Economics, 175, 182-196. |
| [15] | Biazzo, S., Panizzolo, R., & de Crescenzo, A. M. (2016). Lean management and product innovation: a critical review. In Understanding the Lean Enterprise (pp. 237-260). Springer, Cham. |
| [16] | Abdi, M. R., Labib, A. W., Edalat, F. D., & Abdi, A. (2018). Integrated Reconfigurable Manufacturing Systems and Smart Value Chain. SPRINGER INTERNATIONAL PU. |
| [17] | Um, J. (2017). The impact of supply chain agility on business performance in a high-level customization environment. Operations management research, 10 (1-2), 10-19. |
| [18] | Gligor, D., Gligor, N., Holcomb, M., & Bozkurt, S. (2019). Distinguishing between the concepts of supply chain agility and resilience: A multidisciplinary literature review. The International Journal of Logistics Management. |
| [19] | Teece, D., Peteraf, M., & Leih, S. (2016). Dynamic capabilities and organizational agility: Risk, uncertainty, and strategy in the innovation economy. California Management Review, 58 (4), 13-35. |
| [20] | Bendul, J. C., Rosca, E., & Pivovarova, D. (2017). Sustainable supply chain models for base of the pyramid. Journal of cleaner production, 162, S107-S120. |
| [21] | Singh, S. C., & Pandey, S. K. (2015). Lean supply-chain: a state-of-the-art literature review. Journal of Supply Chain Management Systems, 4 (3), 33. |
| [22] | Tatham, P., & Christopher, M. (Eds.). (2018). Humanitarian logistics: Meeting the challenge of preparing for and responding to disasters. Kogan Page Publishers. |
| [23] | Mohammed, N. D. (2018). Examining the Management and Stewardship of Donor Funds, Relative to Outcomes in Basic Education in Kenya (Doctoral dissertation, St. Thomas University). |
| [24] | Christopher, M., Harrison, A., & van Hoek, R. (2016). Creating the agile supply chain: issues and challenges. In Developments in logistics and supply chain management (pp. 61-68). Palgrave Macmillan, London. |
| [25] | Nkwunonwo, U., Whitworth, M., & Baily, B. (2016). A review and critical analysis of the efforts towards urban flood risk management in the Lagos region of Nigeria. Natural Hazards and Earth System Sciences, 16 (2), 349-369. |
| [26] | Dufour, É, Laporte, G., Paquette, J., & Rancourt, M. È. (2018). Logistics service network design for humanitarian response in East Africa. Omega, 74, 1-14. |
| [27] | Koori, C. (2017). Leagile supply chain practices and supply chain performance of non-governmental health organizations in Nairobi, Kenya (Doctoral dissertation, school of business, university of Nairobi). |
| [28] | Kuria, S. W. (2014). Supply chain leagility and performance of humanitarian organizations in Kenya (Doctoral dissertation, School Of Business, University Of Nairobi). |
| [29] | Abdallah, A. B., & Nabass, I. H. (2018). Supply chain antecedents of agile manufacturing in a developing country context. Journal of Manufacturing Technology Management. |
| [30] | Skliarov, S., Kaptan, K., & Khorram-Manesh, A. (2017). Definition and general principles of disasters. Khorram-Manesh (Ed.). |
| [31] | Weiss, T. G. (2018). Humanitarian challenges and intervention. Routledge. |
| [32] | Mangan, J., & Lalwani, C. C. (2016). Global logistics and supply chain management. John Wiley & Sons. |
| [33] | Clarke, W. S. (2018). Learning from Somalia: the lessons of armed humanitarian intervention. Routledge. |
| [34] | Namagembe, S. (2020). Enhancing service delivery in humanitarian relief chains: the role of relational capital. Journal of Humanitarian Logistics and Supply Chain Management. |
| [35] | Paul, B. K. (2019). Response to and Emergency Relief Efforts for the Selected Disasters. In Disaster Relief Aid (pp. 141-194). Palgrave Macmillan, Cham. |
| [36] | Maghsoudi, A., Zailani, S., Ramayah, T., & Pazirandeh, A. (2018). Coordination of efforts in disaster relief supply chains: the moderating role of resource scarcity and redundancy. International Journal of Logistics Research and Applications, 21 (4), 407-430. |
| [37] | Bealt, J., Fernandez Barrera, J. C., & Mansouri, S. A. (2016). Collaborative relationships between logistics service providers and humanitarian organizations during disaster relief operations. Journal of Humanitarian Logistics and Supply Chain Management, 6 (2), 118-144. |
| [38] | Sinha, D. (Ed.). (2019). Global Supply Chains and Multimodal Logistics: Emerging Research and Opportunities: Emerging Research and Opportunities. IGI Global. |
| [39] | Fadaki, M., Rahman, S., & Chan, C. (2019). Leagile supply chain: design drivers and business performance implications. International Journal of Production Research, 1-23. |
| [40] | Purvis, L., Spall, S., Naim, M., & Spiegler, V. (2016). Developing a resilient supply chain strategy during ‘boom’ and ‘bust’. Production Planning & Control, 27 (7-8), 579-590. |
| [41] | Qamar, A., & Hall, M. (2018). Can Lean and Agile organizations within the UK automotive supply chain be distinguished based upon contextual factors? Supply Chain Management: An International Journal. |
| [42] | Galankashi, M. R., & Helmi, S. A. (2016). Assessment of hybrid Lean-Agile (Leagile) supply chain strategies. Journal of Manufacturing Technology Management. |
| [43] | Ponnusamy, P. (2019). Collaborative Framework Arrangement for Agile/Leagile Procurement and Supply of Humanitarian Food Aid: A Case Study of Malaysia (Doctoral dissertation, Curtin University). |
| [44] | Romme, J., & Hoekstra, S. (Eds.). (1992). Integral Logistic Structures: Developing Customer-oriented Goods Flow. Industrial Press. |
| [45] | Mason-Jones, R., & Towill, D. R. (1999). Using the information decoupling point to improve supply chain performance. The International Journal of Logistics Management, 10 (2), 13-26. |
| [46] | Goldratt, E. M. (1990). Theory of constraints: What is this thing called and how should it be implemented. The North River, Press Croton on Hudson NY. |
| [47] | Creswell, J. W., & Poth, C. N. (2017). Qualitative inquiry and research design: Choosing among five approaches. Sage publications. |
| [48] | Rahi, S. (2017). Research design and methods: A systematic review of research paradigms, sampling issues and instruments development. International Journal of Economics & Management Sciences, 6 (2), 1-5. |
| [49] | Mujere, N. (2016). Sampling in research. In Mixed methods research for improved scientific study (pp. 107-121). IGI Global. |
| [50] | In, J. (2017). Introduction of a pilot study. Korean journal of anesthesiology, 70 (6), 601. |
| [51] | Trafimow, D. (2017). Using the coefficient of confidence to make the philosophical switch from a posteriori to a priori inferential statistics. Educational and Psychological Measurement, 77 (5), 831-854. |
| [52] | Ebert, J. F., Huibers, L., Christensen, B., & Christensen, M. B. (2018). Or web-based questionnaire invitations as a method for data collection: cross-sectional comparative study of differences in response rate, completeness of data, and financial cost. Journal of medical Internet research, 20 (1), e24. |
| [53] | Rodríguez-Espíndola, O., Chowdhury, S., Beltagui, A., & Albores, P. (2020). The potential of emergent disruptive technologies for humanitarian supply chains: the integration of block chain, Artificial Intelligence and 3D printing. International Journal of Production Research, 1-21. |
| [54] | Iyengar, V., & Bharathi, S. V. (2018). Bibliometric Analysis of Lean, Agile, and Leagile Supply Chains in Automobile Industry (1990-2017). International Journal of Information Systems and Supply Chain Management (IJISSCM), 11 (3), 22-45. |
| [55] | Hassani, Y., Ceauşu, I., & Iordache, A. (2020, July). Lean and Agile model implementation for managing the supply chain. In Proceedings of the International Conference on Business Excellence (Vol. 14, No. 1, pp. 847-858). Sciendo. |
| [56] | Micheli, G. J., Trucco, P., Sabri, Y., & Mancini, M. (2019). Modularization as a system life cycle management strategy: Drivers, barriers, mechanisms and impacts. International Journal of Engineering Business Management, 11, 1847979018825041. |
| [57] | Allaoui, H., Guo, Y., & Sarkis, J. (2019). Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production, 229, 761-774. |
| [58] | Bader Sheikh, S. (2020). Essays on the Economics of Natural Disasters (Doctoral dissertation, UC Santa Barbara). |
| [59] | Kassambara, A. (2017). Practical guide to principal component methods in R: PCA, M (CA), FAMD, MFA, HCPC, factoextra (Vol. 2). STHDA. |
| [60] | Gogtay, N. J., & Thatte, U. M. (2017). Principles of correlation analysis. Journal of the Association of Physicians of India, 65 (3), 78-81. |
| [61] | Akoglu, H. (2018). User's guide to correlation coefficients. Turkish journal of emergency medicine, 18 (3), 91-93. |
| [62] | Wogi, A. A., Wakweya, S. T., & Tesfay, Y. Y. (2018). Determinants of Time-to-Under-Five Mortality in Ethiopia: Comparison of Parametric Shared Frailty Models. International Journal of Biomedical and Clinical Engineering (IJBCE), 7 (1), 1-24. |
| [63] | Jahre, M. (2017). Humanitarian supply chain strategies–a review of how actors mitigate supply chain risks. Journal of Humanitarian Logistics and Supply Chain Management. |
| [64] | Ganguly, K. K., Padhy, R. K., & Rai, S. S. (2017). Managing the humanitarian supply chain: a fuzzy logic approach. International Journal of Disaster Resilience in the Built Environment. |
| [65] | Behl, A., & Dutta, P. (2019). Humanitarian supply chain management: a thematic literature review and future directions of research. Annals of Operations Research, 283 (1), 1001-1044. |
| [66] | Agarwal, S., Kant, R., & Shankar, R. (2019). Humanitarian supply chain management frameworks. Benchmarking: An International Journal. |
| [67] | Munyoro, J. (2020). Optimizing humanitarian food relief distribution through local clusters. |
| [68] | Ballé, M., Jones, D. T., Chaize, J., & Fiume, O. J. (2017). Lean Strategy: Using Lean to Create Competitive Advantage, Unleash Innovation, and Deliver Sustainable Growth. McGraw-Hill Education. |
| [69] | Ye, Y., & Yan, H. (2020). Disaster Relief Supply Management. In Natural Hazards-Impacts, Adjustments & Resilience. IntechOpen. |
| [70] | Roddy, S., Strange, J. M., & Taithe, B. (2018). The Charity Market and Humanitarianism in Britain, 1870-1912. Bloomsbury Academic. |
| [71] | Kabetu, D. G., & Iravo, M. A. (2018). Influence of strategic leadership on performance of international humanitarian organizations in Kenya. International Academic Journal of Innovation, Leadership and Entrepreneurship, 2 (2), 113-135. |
APA Style
Nyile Erastus Kiswili, Ismail Noor Shale, Anthony Osoro. (2021). Influence of Supply Chain Leagility on Performance of Humanitarian Aid Organizations in Kenya. Journal of Business and Economic Development, 6(1), 37-57. https://doi.org/10.11648/j.jbed.20210601.15
ACS Style
Nyile Erastus Kiswili; Ismail Noor Shale; Anthony Osoro. Influence of Supply Chain Leagility on Performance of Humanitarian Aid Organizations in Kenya. J. Bus. Econ. Dev. 2021, 6(1), 37-57. doi: 10.11648/j.jbed.20210601.15
AMA Style
Nyile Erastus Kiswili, Ismail Noor Shale, Anthony Osoro. Influence of Supply Chain Leagility on Performance of Humanitarian Aid Organizations in Kenya. J Bus Econ Dev. 2021;6(1):37-57. doi: 10.11648/j.jbed.20210601.15
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Download@article{10.11648/j.jbed.20210601.15,
author = {Nyile Erastus Kiswili and Ismail Noor Shale and Anthony Osoro},
title = {Influence of Supply Chain Leagility on Performance of Humanitarian Aid Organizations in Kenya},
journal = {Journal of Business and Economic Development},
volume = {6},
number = {1},
pages = {37-57},
doi = {10.11648/j.jbed.20210601.15},
url = {https://doi.org/10.11648/j.jbed.20210601.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jbed.20210601.15},
abstract = {In today’s volatile and uncertain humanitarian environment, adopting a purely lean or a purely agile supply chain is not effective. Humanitarian organizations are struggling to obtain the highest possible performance from their supply chains by utilizing and adopting various supply chain designs. This is upon realization that despite the huge chunks of money pumped into humanitarian sector, stringent oversight by donors and expectations from vulnerable populations, humanitarian supply chains still respond in a sluggish, inefficient and poorly coordinated manner to emergencies. The purpose of this study was to explore the influence of supply chain responsiveness and waste management on performance of humanitarian aid organizations in Kenya. The underpinning theories and model in this study included; Decoupling Point theory; Theory of Constraints and SCOR model. Survey research design was employed for this study. The study entailed a census survey of all the 330 humanitarian aid organizations in Kenya with supply chain managers as the unit of observation. Questionnaires were used to collect primary data. Descriptive statistics and inferential statistics was used aided by SPSS version 24 to facilitate data analysis. The data was presented using a combination of statistical and graphical techniques. Trend analysis was used to spot a pattern on the sub-constructs of performance of humanitarian aid organizations for five years. The study findings revealed that supply chain responsiveness and waste management are positively associated with performance of humanitarian aid organizations. From the findings, most humanitarian aid organizations had knowingly or unknowingly partially implemented leagility design in their supply chains. The findings further showed that despite the rise in disaster resource allocation, the culture of preparedness was lacking in the country. Based on these findings and conclusions, the study recommended that to achieve and sustain an efficient and responsive supply chain, humanitarian aid organizations should design, implement and fully adopt leagility design in their humanitarian supply chains. Humanitarian aid organizations are recommended to embrace advanced technologies to improve their supply chain leagility. Donors on the other hand were encouraged to strengthen local capacity of affected communities and increase their funding on humanitarian aid operations. In addition, supply chain professionals should come up with new ways of predicting demand in a volatile, uncertain, complex and ambiguous environment learning from data from previous disasters. The study further recommends for a creation of a disaster preparedness plan that gives the way forward in times of tragedies or disasters.},
year = {2021}
}
TY - JOUR T1 - Influence of Supply Chain Leagility on Performance of Humanitarian Aid Organizations in Kenya AU - Nyile Erastus Kiswili AU - Ismail Noor Shale AU - Anthony Osoro Y1 - 2021/03/17 PY - 2021 N1 - https://doi.org/10.11648/j.jbed.20210601.15 DO - 10.11648/j.jbed.20210601.15 T2 - Journal of Business and Economic Development JF - Journal of Business and Economic Development JO - Journal of Business and Economic Development SP - 37 EP - 57 PB - Science Publishing Group SN - 2637-3874 UR - https://doi.org/10.11648/j.jbed.20210601.15 AB - In today’s volatile and uncertain humanitarian environment, adopting a purely lean or a purely agile supply chain is not effective. Humanitarian organizations are struggling to obtain the highest possible performance from their supply chains by utilizing and adopting various supply chain designs. This is upon realization that despite the huge chunks of money pumped into humanitarian sector, stringent oversight by donors and expectations from vulnerable populations, humanitarian supply chains still respond in a sluggish, inefficient and poorly coordinated manner to emergencies. The purpose of this study was to explore the influence of supply chain responsiveness and waste management on performance of humanitarian aid organizations in Kenya. The underpinning theories and model in this study included; Decoupling Point theory; Theory of Constraints and SCOR model. Survey research design was employed for this study. The study entailed a census survey of all the 330 humanitarian aid organizations in Kenya with supply chain managers as the unit of observation. Questionnaires were used to collect primary data. Descriptive statistics and inferential statistics was used aided by SPSS version 24 to facilitate data analysis. The data was presented using a combination of statistical and graphical techniques. Trend analysis was used to spot a pattern on the sub-constructs of performance of humanitarian aid organizations for five years. The study findings revealed that supply chain responsiveness and waste management are positively associated with performance of humanitarian aid organizations. From the findings, most humanitarian aid organizations had knowingly or unknowingly partially implemented leagility design in their supply chains. The findings further showed that despite the rise in disaster resource allocation, the culture of preparedness was lacking in the country. Based on these findings and conclusions, the study recommended that to achieve and sustain an efficient and responsive supply chain, humanitarian aid organizations should design, implement and fully adopt leagility design in their humanitarian supply chains. Humanitarian aid organizations are recommended to embrace advanced technologies to improve their supply chain leagility. Donors on the other hand were encouraged to strengthen local capacity of affected communities and increase their funding on humanitarian aid operations. In addition, supply chain professionals should come up with new ways of predicting demand in a volatile, uncertain, complex and ambiguous environment learning from data from previous disasters. The study further recommends for a creation of a disaster preparedness plan that gives the way forward in times of tragedies or disasters. VL - 6 IS - 1 ER -
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