Modeling the barriers of Indian healthcare supply chain management using ISM

Document Type : Research Paper

Authors

1 Department of Mechanical Engineering, Mewat Engineering College, Nuh, Haryana

2 Department of Department of Mechanical Engineering, Amity University Gurgaon, India

3 Department of Public Health, Delhi Pharmaceutical Science and Research University, New Delhi, India

4 Department of Mechanical Engineering, Amity University Gurgaon, India

Abstract

The purpose of this study is to identify the barriers to the Indian healthcare supply chain (HCSC). The barriers influencing the Indian healthcare supply chain were identified in this research via a review of the literature, a group discussion with healthcare specialists, and an assessment of academic domains. The barriers were studied using the ISM "Interpretive Structural Modeling" technique with the goal of identifying factors that might help enhance the Indian healthcare supply chain system. The model and research findings indicate that barriers, such as a lack of healthcare supply chain education and ineffective supply chain implementation in hospitals and the healthcare sector, lack of coordination between the public and private sectors, irregular funding to multiple departments and supply chain staff, inconvenient human resource coordination, and a lack of implementation of cutting-edge technologies, are adversely affecting the Indian healthcare supply chain. This research addressed the barriers affecting the healthcare supply chain and how they may be overcome to benefit the whole healthcare supply chain system, i.e. manufacturers of healthcare products, buyers, and healthcare providers, who in turn benefit end-users, i.e. patients and consumers.

Keywords


Abreu R, David F and Crowther D. (2005) Corporate social responsibility is urgently needed in health care. Social Responsibility Journal, Vol. 1, pp. 225-240.
Afshan N and Sindhuja P. (2015) Supply chain integration in healthcare industry in India: challenges and opportunities. Journal for Global Business Advancement, Vol. 8, pp. 469-478.
Ageron B, Benzidia S and Bourlakis M. (2018) Healthcare logistics and supply chain–issues and future challenges. Supply Chain Forum: An International Journal, Vol. 19, pp. 1-3.
Ajmera P and Jain V. (2019a) A fuzzy interpretive structural modeling approach for evaluating the factors affecting lean implementation in Indian healthcare industry. International Journal of Lean Six Sigma, Vol. 11, pp. 376–397.
Ajmera P and Jain V. (2019b) Modeling the factors affecting the quality of life in diabetic patients in India using total interpretive structural modeling. Benchmarking: An International Journal, Vol. 26, pp. 951-970.
Ajmera P and Jain V. (2019c) Modelling the barriers of Health 4.0–the fourth healthcare industrial revolution in India by TISM. Operations Management Research, Vol. 12, pp. 129–145.
Al‐Shaqha WM and Zairi M. (2001) Pharmaceutical care management: a modern approach to providing seamless and integrated health care. International journal of health care quality assurance, Vol. 14, pp. 282-301.
Balasubramanian S. (2012) A hierarchiacal framework of barriers to green supply chain management in the construction sector. Journal of Sustainable Development, Vol. 5, pp. 15-27.
Bourke MK. (2013) Strategy and architecture of health care information systems, New York: Springer Science & Business Media.
Brandenburg M, Govindan K, Sarkis J, and Seuring, S. (2014) Quantitative models for sustainable supply chain management: Developments and directions. European journal of operational research, Vol. 233, pp. 299-312.
Cachon GP and Lariviere MA. (2005) Supply chain coordination with revenue-sharing contracts: strengths and limitations. Management science, Vol. 51, pp. 30-44.
Callender C and Grasman SE. (2010) Barriers and best practices for material management in the healthcare sector. Engineering Management Journal, Vol. 22, pp. 11-19.
Chang C-S, Chen S-Y and Lan Y-T. (2013) Service quality, trust, and patient satisfaction in interpersonal-based medical service encounters. BMC health services research, Vol. 13, pp. 1-11.
Chauhan A, Singh A and Jharkharia S. (2018) An interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) method approach for the analysis of barriers of waste recycling in India. Journal of the Air & Waste Management Association, Vol. 68, pp. 100-110.
Churi P, Pawar A and Moreno-Guerrero A-J. (2021) A comprehensive survey on data utility and privacy: Taking Indian healthcare system as a potential case study. Inventions, Vol. 6, pp. 45.
Colin J, Estampe D, Pfohl HC, Gallus, P. and Thomas, D. (2011) Interpretive structural modeling of supply chain risks. International Journal of physical distribution & logistics management, Vol. 41 pp. 839-859.
Crane A, LeBaron G, Allain J, and Behbahani, L. (2019) Governance gaps in eradicating forced labor: From global to domestic supply chains. Regulation & Governance, Vol. 13, pp. 86-106.
De Blok C, Meijboom B, Luijkx K, and Schols, J. (2013) The human dimension of modular care provision: opportunities for personalization and customization. International journal of production economics, Vol. 142, pp. 16-26.
De Vries J and Huijsman R. (2011) Supply chain management in health services: an overview. Supply Chain Management: An International Journal, Vol. 16, pp. 159-165.
Dobrzykowski D. (2019) Understanding the downstream healthcare supply chain: Unpacking regulatory and industry characteristics. Journal of Supply Chain Management, Vol.55, pp. 26-46.
Dobrzykowski D, Deilami VS, Hong P, and Kim, S. C. (2014) A structured analysis of operations and supply chain management research in healthcare (1982–2011). International journal of production economics, Vol. 147, pp. 514-530.
Dube AS and Gawande RS. (2016) Analysis of green supply chain barriers using integrated ISM-fuzzy MICMAC approach. Benchmarking: An International Journal, Vol. 23, pp. 1558-1578.
Faisal MN, Banwet D and Shankar R. (2007) Supply chain risk management in SMEs: analysing the barriers. International Journal of Management and Enterprise Development, Vol. 4, pp. 588-607.
Göleç A and Karadeniz G. (2020) Performance Analysis of Healthcare Supply Chain Management with Competency-Based Operation Evaluation. Computers & Industrial Engineering, Vol. 146, pp. 106546.
Gupta U and Ramesh A. (2015) Analyzing the barriers of health care supply chain in India: the contribution and interaction of factors. Procedia-Social and Behavioral Sciences, Vol. 189, pp. 217-228.
Jagnoor J, Bekker S, Chamania S, et al. (2018) Identifying priority policy issues and health system research questions associated with recovery outcomes for burns survivors in India: a qualitative inquiry. BMJ open, Vol. 8, pp. e020045.
Jain N, Singh H, Koolwal GD, et al. (2015) Opportunities and barriers in service delivery through mobile phones (mHealth) for severe mental illnesses in Rajasthan, India: a multi-site study. Asian journal of psychiatry, Vol. 14 pp. 31-35.
Jain V and Ajmera P. (2018) Modelling the factors affecting Indian Medical Tourism Sector using Interpretive Structural Modeling. Benchmarking: An International Journal, Vol. 25, pp. 1461-1479.
Jain V and Ajmera P. (2020) Modelling the enablers of industry 4.0 in the Indian manufacturing industry. International Journal of Productivity and Performance Management, Vol. 70, pp. 1233-1262.
Jain V and Raj T. (2014) Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach. Frontiers of Mechanical Engineering, Vol. 9, pp. 218-232.
Jain V and Raj T. (2015a) A hybrid approach using ISM and modified TOPSIS for the evaluation of flexibility in FMS. International Journal of Industrial and Systems Engineering, Vol. 19, pp. 389–406.
Jain V and Raj T. (2015b) Modeling and analysis of FMS flexibility factors by TISM and fuzzy MICMAC. International Journal of System Assurance Engineering and Management, Vol. 6, pp. 350-371.
Jain V and Raj T. (2016) Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach. International journal of production economics, Vol. 171, pp. 84-96.
Jain V and Raj T. (2021) Study of issues related to constraints in FMS by ISM, fuzzy ISM and TISM. International Journal of Industrial and Systems Engineering, Vol. 37, pp. 197-221.
Jain V and Soni VK. (2019) Modeling and analysis of FMS performance variables by fuzzy TISM. Journal of Modelling in Management, Vol. 14, pp. 2-30.
Kasthuri A. (2018) Challenges to healthcare in India-The five A's. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine, Vol. 43, pp. 141-143.
Kumar A, Ozdamar L and Zhang CN. (2008) Supply chain redesign in the healthcare industry of Singapore. Supply Chain Management: An International Journal, Vol. 13, pp. 95-103.
Landry S and Philippe R. (2004) How logistics can service healthcare. Supply Chain Forum: An International Journal, Vol. 5, pp. 24-30.
Lauer C. (2004) Excellence in supply chain management. Modern healthcare, Vol. 34, pp. 29-32.
Lee HL, Padmanabhan V and Whang S. (1997) The bullwhip effect in supply chains. Sloan management review, Vol. 38, pp. 93-102.
Malviya RK and Kant R. (2017) Modeling the enablers of green supply chain management: An integrated ISM–fuzzy MICMAC approach. Benchmarking: An International Journal, Vol. 24, pp. 536-568.
Mathew J, John J and Kumar S. (2013) New trends in healthcare supply chain. Annals of POMS Conference Proceedings; Denver. pp. 1-10.
Mathur B, Gupta S, Meena ML, et al. (2018) Healthcare supply chain management: literature review and some issues. Journal of Advances in Management Research, Vol. 15, pp. 265-287.
Mehrotra M and Natarajan KV. (2020) Value of combining patient and provider incentives in humanitarian health care service programs. Production and Operations Management, Vol. 29, pp. 571-594.
Mittal P, Ajmera P, Jain V, and Aggarwal, G. (2021) Modeling and analysis of barriers in controlling TB: developing countries' perspective. International Journal of Health Governance, ahead-of-print.
Mustaffa NH and Potter A. (2009) Healthcare supply chain management in Malaysia: a case study. Supply Chain Management: An International Journal, Vol. 14, pp. 234-243.
Nilsen ER, Stendal K and Gullslett MK. (2020) Implementation of eHealth Technology in Community Health Care: the complexity of stakeholder involvement. BMC health services research, Vol. 20, pp. 1-13.
Patri R and Suresh M. (2018) Factors influencing lean implementation in healthcare organizations: An ISM approach. International Journal of Healthcare Management, Vol. 11, pp. 25-37.
Perron GM. (2005) Barriers to environmental performance improvements in Canadian SMEs, Canada: Dalhousie University.
Priya MS, Jain V, Kabiraj S, and Priya, S. S. (2021a) Modelling the factors affecting global economy during COVID-19 using ISM approach. International Journal of Services, Economics and Management, Vol. 12, pp. 294–316.
Priya SS, Priya MS, Jain V, et al. (2021b) An assessment of government measures in combatting COVID-19 using ISM and DEMATEL modelling. Benchmarking: An International Journal, ahead-of-print.
Raj T, Attri R and Jain V. (2012) Modelling the factors affecting flexibility in FMS. International Journal of Industrial and Systems Engineering, Vol. 11, pp. 350-374.
Raj T, Shankar R and Suhaib M. (2008) An ISM approach for modelling the enablers of flexible manufacturing system: the case for India. International Journal of Production Research, Vol. 46, pp. 6883-6912.
Ramani K. (2004) A management information system to plan and monitor the delivery of health‐care services in government hospitals in India. Journal of Health Organization and Management, Vol. 18, pp. 207-220.
Ramesh A, Banwet D and Shankar R. (2010) Modeling the barriers of supply chain collaboration. Journal of Modelling in Management, Vol. 5, pp. 176-193.
Rohini R and Mahadevappa B. (2010) Social responsibility of hospitals: an Indian context. Social Responsibility Journal, Vol. 6, pp. 268-285.
Samuel C, Gonapa K, Chaudhary P, and Mishra, A. (2010) Supply chain dynamics in healthcare services. International journal of health care quality assurance, Vol. 23, pp. 631-642.
Santana P. (2002) Poverty, social exclusion and health in Portugal. Social science & medicine, Vol. 55, pp. 33-45.
Schoonveld E. (2020) The price of global health: drug pricing strategies to balance patient access and the funding of innovation, New York: Routledge.
Sharma P, Thakar G and Gupta R. (2013) Interpretive Structural Modeling of Functional Objectives (Criteria's) of Assembly Line Balancing Problem. International Journal of Computer Applications, Vol. 83, pp.14-22.
Vian T. (2003) Uganda: Assessing the Costs of Distribution to Health Sub-Districts. A Case Study in Financial Analysis. Arlington, Va,USA.
Warfield JN. (1974) Developing subsystem matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, pp. 74-80.
Yadav P. (2015) Health product supply chains in developing countries: diagnosis of the root causes of underperformance and an agenda for reform. Health Systems & Reform, Vol. 1, pp. 142-154.
Yanamandra R. (2018) Development of an integrated healthcare supply chain model. Supply Chain Forum: An International Journal, Vol. 19, pp. 111-121.
Zheng J, Bakker E, Knight L, Gilhespy H., Harland, C. and Walker, H. (2006) A strategic case for e-adoption in healthcare supply chains. International Journal of Information Management, Vol. 26, pp. 290-301.