Modeling the Performance of Humanitarian Supply Chain Management with the Help of Partial Least Squares (PLS)

Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 190

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_JORAR-11-1_001

تاریخ نمایه سازی: 23 بهمن 1399

Abstract:

BACKGROUND: Increasing the incidence of natural disasters around the world has led to increased concerns about the social and economic development of developed countries. Natural disasters are inevitable, but they can be taken to reduce their negative impacts on countries. Organizations involved in managing these crises must regulate their supply chain and make the necessary changes to improve the performance of the humanitarian supply chain. METHODS: Data analysis by partial least squares method (PLS) was performed using smart-pls2 software and a researcher-made questionnaire with 25 questions that examined six structures. In this research, 320 questionnaires have been distributed. In the statistical population of the survey, there are military centers, fire brigades, Omer Crescent population, emergency 115, crisis management and renovation committee in the parliament, governorate, municipalities, supply chain managers, Active practitioners in this field, subject specialists (reference persons and perpetrators in this field), and other members of the organizations involved in rescue and rescue operations in Tehran (randomly selected from the 22 areas). Eventually, 193 people were involved in relief and rescue operations. The reliability of the model has been investigated and verified through three ways of evaluating factor load coefficients, Cronbachchr('39')s alpha coefficients, composite reliability (CR). The average variance extracted (AVE) values are greater than 0.5, and CR values are larger than AVEs. That means convergent validity. Also, the mean of the AVE for each structure is greater than 0.50 and this is a sign of convergent validity. RESULTS: For the model, GOF is 0.56; that means the model has a great fit. The statistics above show that the proposed model is suitable for data collection. In general, the proposed model confirms the relationship between the use of information technology, mutual trust, flexibility, agility, adaptability and performance of the humanitarian supply chain. Fit statistics have four indicators: Goodness of Fitness (GFI) of 0.92, Fitted Goodness Index (AGFI) of 0.9, Root RMSEA error of 0.04, and 360.88 x 360 times. Finally, the ratio of k2 to the degree of freedom for 1.38 is obtained, indicating the good of fitness of the model fit with the data. With the aid of p-values and T-Values 8 hypotheses were confirmed in this modeling. CONCLUSION: The results show that the agility and flexibility of organizations in the humanitarian supply chain are related to the use of information technology and organizational trust, which in turn affects performance.

Keywords:

Human Resource Supply Chain , Performance , Agility , Flexibility , Information Technology , Human Resource Supply Chain , Performance , Agility , Flexibility , Information Technology

Authors

ahmad tavakola

Assistant Professor, Department of Management, School of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

maryam aliei

Lecturer, Department of Management, Payame Noor University, Semnan, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Kovacs G, Spens K. Humanitarian logistics in disaster relief operations. ...
  • Tomasini RM, Van Wassenhove LN. From preparedness to partnerships: Case ...
  • Yamada S, Gunatilake RP, Roytman TM, Gunatilake S, Fernando T, ...
  • Rogers P, Burnside-Lawry B, Dragisic J, Mills C. Collaboration and ...
  • Lummus RR, Vokurka RJ, Duclos LK. Delphi study on supply ...
  • Katayama H, Bennett D. Agility, adaptability and leanness: A comparison ...
  • Andrade AD, Urquhart C. Unveiling the modernity bias: A critical ...
  • Hu Q, Kapucu N. Information communication technology utilization for effective ...
  • Clemons EK, Row MC. Sustaining IT Advantage: The role of ...
  • Powell TC, Dent-Micallef A. Information technology as competitive advantage: The ...
  • https://doi.org/10.1002/(SICI)1097-0266(199705)18:5<375::AID-SMJ876>3.0.CO;2-7 ...
  • Kivunike FN, Ekenberg L, Danielson M, Tusubira FF. Perceptions of ...
  • Ye F, Wang Z. Effects of information technology alignment and ...
  • Youn SH, Yang MG, Kim JH, Hong P. Supply chain ...
  • Zaheer A, McEvily B, Perrone V. Does Trust Matter? Exploring ...
  • Bordoloi SK, Cooper WW, Matsuo H. Flexibility, adaptability, and efficiency ...
  • Swafford PM, Ghosh S, Murthy N. The antecedents of supply ...
  • Adeagbo A, Daramola A, Carim-Sanni A, Akujobi C, Ukpong C. ...
  • Albright EA, Crow DA. Learning in the aftermath of extreme ...
  • Harte W, Sowman M, Hastings P, Childs I. Barriers to ...
  • Kuipers SL, Boin RA. Building Joint crisis management capacity? Comparing ...
  • Robinson S, Murphy H, Bies A. Structured to partner: School ...
  • Kunz N, Reiner G. A meta-analysis of humanitarian ...
  • logistics research. Journal of Humanitarian Logistics and Supply Chain Management, ...
  • Kovacs G, Spens K. Humanitarian logistics and supply chain management: ...
  • Valero J, Jung K, Andrew S. Does transformational leadership build ...
  • Lowry PB, Gaskin JE. Partial least squares (PLS) structural equation ...
  • Hall DJ, Skipper JB, Hanna JB. The mediating effect of ...
  • Christopher M, Towill D. An integrated model for the design ...
  • Overstreet R, Hall D, Hanna J, Kelly Rainer R. Research ...
  • Chan TC, Killeen J, Griswold W, Lenert L. Information technology ...
  • Jefferson T. Evaluating the role of information technology in crisis ...
  • Telleen S, Martin E. Improving information access for public health ...
  • Hall D, Skipper J, Hazen B, Hanna J. Inter-organizational IT ...
  • Narasimhan R, Swink M, Kim SW. Disentangling leanness and agility: ...
  • National Research Council. Reducing disaster losses through better information. Washington, ...
  • Lee HW, Zbinden M. Marrying logistics and technology for effective ...
  • Clay Whybark D. Issues in managing disaster relief inventories. Int ...
  • Boyson S, Corsi T, Verbraeck A. The e-supply chain portal: ...
  • Log Trans Rev 2003; 39(2): 175-92. ...
  • Pettit S, Beresford A. Critical success factors in the context ...
  • Whang S. Information sharing in a supply chain. Int J ...
  • Thomas A. Humanitarian logistics: Enabling disaster response. San Francisco, CA: ...
  • Blecken A. Humanitarian logistics: Modelling supply chain processes of humanitarian ...
  • Whitten GD, Green KW, Zelbst PJ. Triple-A supply chain performance. ...
  • Stevenson M, Spring M. Flexibility from a supply chain perspective: ...
  • Gall MD, Borg WR, Gall JP. Educational research: An introduction. ...
  • Schneider B, Ashworth SD, Higgs AC, Carr L. Design, validity, ...
  • Smith NC, Dainty P. The management research handbook. London, UK: ...
  • Flynn BB, Sakakibara S, Schroeder RG, Bates KA, Flynn EJ. ...
  • Hair JF, Bill B, Barry B, Anderson RE, Tatham RT. ...
  • Moon KK-L, Yi CY, Ngai EWT. An instrument for measuring ...
  • Roh S, Beresford AK, Pettit SJ. Humanitarian aid logistics: Response ...
  • Tatham P, Spens K. Towards a humanitarian logistics knowledge management ...
  • Chin WW, Newsted PR. Structural equation modeling analysis with small ...
  • Oaks: CA: Sage Publications. p. 307-41. ...
  • Gefen D, Straub D, Boudreau MC. Structural equation modeling and ...
  • Barclay DW, Higgins C, Thompson R. The partial last squares ...
  • Bagozzi RP, Yi Y, Phillips LW. Assessing construct validity in ...
  • Fornell C, Larcker DF. Structural equation models with unobservable variables ...
  • Wetzels M, Odekerken-Schroder G, van Oppen C. Using PLS path ...
  • Holguin-Veras J, Jaller M, Van Wassenhove LN, Perez N, Wachtendorf ...
  • Cooper M, Lambert D, Pagh J. Supply chain management: More ...
  • Dubey R, Ali SS, Aital P, Venkatesh VG. Mechanics of ...
  • Maiers C, Reynolds M, Haselkorn M. Challenges to effective information ...
  • McEntire DA. Coordinating multi-organisational responses to disaster: Lessons from the ...
  • Moshtari M, Gonealves P. Understanding the drivers and barriers of ...
  • Sheffi Y, Rice JB. A supply chain view of the ...
  • 1. Kovacs G, Spens K. Humanitarian logistics in disaster relief operations. ...
  • 2. Tomasini RM, Van Wassenhove LN. From preparedness to partnerships: Case ...
  • 3. Yamada S, Gunatilake RP, Roytman TM, Gunatilake S, Fernando T, ...
  • 4. Rogers P, Burnside-Lawry B, Dragisic J, Mills C. Collaboration and ...
  • 5. Lummus RR, Vokurka RJ, Duclos LK. Delphi study on supply ...
  • 6. Katayama H, Bennett D. Agility, adaptability and leanness: A comparison ...
  • 7. Andrade AD, Urquhart C. Unveiling the modernity bias: A critical ...
  • 8. Hu Q, Kapucu N. Information communication technology utilization for effective ...
  • 9. Clemons EK, Row MC. Sustaining IT Advantage: The role of ...
  • 10. Powell TC, Dent-Micallef A. Information technology as competitive advantage: The ...
  • 11. Kivunike FN, Ekenberg L, Danielson M, Tusubira FF. Perceptions of ...
  • 12. Ye F, Wang Z. Effects of information technology alignment and ...
  • 13. Youn SH, Yang MG, Kim JH, Hong P. Supply chain ...
  • 14. Zaheer A, McEvily B, Perrone V. Does Trust Matter? Exploring ...
  • 15. Bordoloi SK, Cooper WW, Matsuo H. Flexibility, adaptability, and efficiency ...
  • 16. Swafford PM, Ghosh S, Murthy N. The antecedents of supply ...
  • 17. Adeagbo A, Daramola A, Carim-Sanni A, Akujobi C, Ukpong C. ...
  • 18. Albright EA, Crow DA. Learning in the aftermath of extreme ...
  • 19. Harte W, Sowman M, Hastings P, Childs I. Barriers to ...
  • 20. Kuipers SL, Boin RA. Building Joint crisis management capacity? Comparing ...
  • 21. Robinson S, Murphy H, Bies A. Structured to partner: School ...
  • 22. Kunz N, Reiner G. A meta-analysis of humanitarian ...
  • logistics research. Journal of Humanitarian Logistics and Supply Chain Management, ...
  • 23. Kovacs G, Spens K. Humanitarian logistics and supply chain management: ...
  • 24. Valero J, Jung K, Andrew S. Does transformational leadership build ...
  • 4-20. ...
  • 25. Lowry PB, Gaskin JE. Partial least squares (PLS) structural equation ...
  • 26. Hall DJ, Skipper JB, Hanna JB. The mediating effect of ...
  • 27. Christopher M, Towill D. An integrated model for the design ...
  • 28. Overstreet R, Hall D, Hanna J, Kelly Rainer R. Research ...
  • 29. Chan TC, Killeen J, Griswold W, Lenert L. Information technology ...
  • 30. Jefferson T. Evaluating the role of information technology in crisis ...
  • 31. Telleen S, Martin E. Improving information access for public health ...
  • 32. Hall D, Skipper J, Hazen B, Hanna J. Inter-organizational IT ...
  • 33. Narasimhan R, Swink M, Kim SW. Disentangling leanness and agility: ...
  • 34. National Research Council. Reducing disaster losses through better information. Washington, ...
  • 35. Lee HW, Zbinden M. Marrying logistics and technology for effective ...
  • 36. Clay Whybark D. Issues in managing disaster relief inventories. Int ...
  • 37. Boyson S, Corsi T, Verbraeck A. The e-supply chain portal: ...
  • Log Trans Rev 2003; 39(2): 175-92. ...
  • 38. Pettit S, Beresford A. Critical success factors in the context ...
  • 39. Whang S. Information sharing in a supply chain. Int J ...
  • 40. Thomas A. Humanitarian logistics: Enabling disaster response. San Francisco, CA: ...
  • 41. Blecken A. Humanitarian logistics: Modelling supply chain processes of humanitarian ...
  • 42. Whitten GD, Green KW, Zelbst PJ. Triple-A supply chain performance. ...
  • 43. Stevenson M, Spring M. Flexibility from a supply chain perspective: ...
  • 44. Gall MD, Borg WR, Gall JP. Educational research: An introduction. ...
  • 45. Schneider B, Ashworth SD, Higgs AC, Carr L. Design, validity, ...
  • 46. Smith NC, Dainty P. The management research handbook. London, UK: ...
  • 47. Flynn BB, Sakakibara S, Schroeder RG, Bates KA, Flynn EJ. ...
  • 48. Hair JF, Bill B, Barry B, Anderson RE, Tatham RT. ...
  • 49. Moon KK-L, Yi CY, Ngai EWT. An instrument for measuring ...
  • 50. Roh S, Beresford AK, Pettit SJ. Humanitarian aid logistics: Response ...
  • 51. Tatham P, Spens K. Towards a humanitarian logistics knowledge management ...
  • 52. Chin WW, Newsted PR. Structural equation modeling analysis with small ...
  • Oaks: CA: Sage Publications. p. 307-41. ...
  • 53. Gefen D, Straub D, Boudreau MC. Structural equation modeling and ...
  • 54. Barclay DW, Higgins C, Thompson R. The partial last squares ...
  • 55. Bagozzi RP, Yi Y, Phillips LW. Assessing construct validity in ...
  • 56. Fornell C, Larcker DF. Structural equation models with unobservable variables ...
  • 57. Wetzels M, Odekerken-Schroder G, van Oppen C. Using PLS path ...
  • 58. Holguin-Veras J, Jaller M, Van Wassenhove LN, Perez N, Wachtendorf ...
  • 59. Cooper M, Lambert D, Pagh J. Supply chain management: More ...
  • 60. Dubey R, Ali SS, Aital P, Venkatesh VG. Mechanics of ...
  • 61. Maiers C, Reynolds M, Haselkorn M. Challenges to effective information ...
  • 62. McEntire DA. Coordinating multi-organisational responses to disaster: Lessons from the ...
  • 63. Moshtari M, Gonealves P. Understanding the drivers and barriers of ...
  • 64. Sheffi Y, Rice JB. A supply chain view of the ...
  • نمایش کامل مراجع