COVID-19 critical success factors in Indian healthcare industry-A DEMATEL approach

被引:5
作者
Gedam, Vidyadhar [1 ]
Raut, Rakesh [1 ]
Inamdar, Zeeshan [2 ]
Narkhede, Balkrishna [1 ]
Dharaskar, Swapnil [3 ]
Narvane, Vaibhav [2 ]
机构
[1] Natl Inst Ind Engn NITIE, Mumbai 400087, Maharashtra, India
[2] KJ Somaiya Coll Engn, Mumbai, Maharashtra, India
[3] Pandit Deendayal Petr Univ Sch Technol, Gandhinagar, Gujarat, India
关键词
COVID-19; critical success factors; DEMATEL; healthcare industry (HCI); STRATEGIES; EPIDEMIC; WORKERS; MODEL;
D O I
10.1002/mcda.1763
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The prosed study aims to provide COVID-19 critical success factors (CSF) associated with pandemic circumstances in the Indian healthcare industry (HCI). The CSF was identified via expert team inputs and a detailed literature review. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used to determine the causal relationship between identified CSF. The methodology was supported by the case study of the Indian HCI. A total of 15 CSF in the Indian HCI during COVID-19 are identified and prioritized using the DEMATEL method. The findings indicate that the high-quality personal protective equipment (PPEs; LC8) and testing laboratories/facilities, centres, and kits (LC15) are the significant cause, and appropriate healthcare laws (LC13) are the least effect group. The study shows that policy and decision-makers need to emphasize on LC8 and LC15 CSF in the Indian HCI and act accordingly to win the battle against post-COVID-19 circumstance. The policy/decision-makers and healthcare administrations can identify the CSF and focus on that particular CSF. The identified CSF will help policy and decision-makers swiftly build up the HCI to cope with the future pandemic.
引用
收藏
页码:135 / 149
页数:15
相关论文
共 69 条
  • [1] An intelligent framework using disruptive technologies for COVID-19 analysis
    Abdel-Basset, Mohamed
    Chang, Victor
    Nabeeh, Nada A.
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 163
  • [2] Analyzing ethical practices in the public healthcare sector using fuzzy cognitive mapping
    Abrantes, Joana A. T.
    Ferreira, Fernando A. F.
    Zopounidis, Constantin
    Pereira, Leandro F.
    Meidute-Kavaliauskiene, Ieva
    [J]. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2022, 29 (1-2) : 67 - 79
  • [3] Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Based Method
    Afful-Dadzie, Eric
    Nabareseh, Stephen
    Oplatkova, Zuzana Kominkova
    Klimek, Petr
    [J]. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2016, 23 (1-2) : 49 - 62
  • [4] Guidance for building a dedicated health facility to contain the spread of the 2019 novel coronavirus outbreak
    Agarwal, Anup
    Nagi, Nazia
    Chatterjee, Pranab
    Sarkar, Swarup
    Mourya, Devendra
    Sahay, Rima Rakeshkumar
    Bhatia, Rajesh
    [J]. INDIAN JOURNAL OF MEDICAL RESEARCH, 2020, 151 (2-3) : 177 - 183
  • [5] Allocation of the "Already" Limited Medical Resources Amid the COVID-19 Pandemic, an Iterative Ethical Encounter Including Suggested Solutions From a Real Life Encounter
    Alhalaseh, Yazan Nedal
    Elshabrawy, Hatem A.
    Erashdi, Madiha
    Shahait, Mohammed
    Abu-Humdan, Abdulrahman Mohammad
    Al-Hussaini, Maysa
    [J]. FRONTIERS IN MEDICINE, 2021, 7
  • [6] A lean approach to healthcare management using multi criteria decision making
    Bharsakade, Ramkrishna S.
    Acharya, Padmanava
    Ganapathy, L.
    Tiwari, Manoj K.
    [J]. OPSEARCH, 2021, 58 (03) : 610 - 635
  • [7] CDC, 2020, REC GUID EXT US LIM
  • [8] Centers for Disease Control and Prevention (CDC), 2020, OPT PERS PROT EQ PPE
  • [9] India's cost-effective COVID-19 vaccine development initiatives
    Chakraborty, Chiranjib
    Agoramoorthy, Govindasamy
    [J]. VACCINE, 2020, 38 (50) : 7883 - 7884
  • [10] Coping by the healthcare workers during COVID-19 pandemic in developing countries - A review
    Chandra, Alka
    Vanjare, Hemant
    [J]. ANAESTHESIA PAIN & INTENSIVE CARE, 2020, 24 (03) : 346 - 353