Table 9.
Experts’ selection within MCDM in the context of COVID-19
| Studies | Type of method | Condition for expertise selection | Number of experts |
|---|---|---|---|
| Evaluation | |||
| Pamučar et al. (2020) | Not mentioned | From study domain (medical and crisis response team) | 30 |
| Samanıloğlu and Kaya (2020) | Not mentioned |
From domain 1. Professor of infectious diseases clinical microbiology, 2. an infectious disease physician, a 3. clinical microbiology physician, 4. Two internal medicine physicians, a family physician, and an anaesthesiology and 5. reanimation physician |
7 |
| Ocampo and Yamagishi (2020) | Not mentioned |
1. Two academics and 2. One infectious disease and public health expert with rich knowledge on the dynamics of systems, public health protocols, and local culture and conditions |
3 |
| Sarwar and Imran (2021) | Not mentioned | Not mentioned | Not mentioned |
| Wu and Xu (2020) | Not mentioned | Not mentioned | 1 |
| Yang et al. (2020) | Not mentioned | Not mentioned | Not mentioned |
| Mahanta and Panda (2020) | Not mentioned | Not mentioned | Not mentioned |
| Sayan et al. (2020) | Not mentioned | Not mentioned | Not mentioned |
| Mohammed et al. (2020) | N/A | N/A | N/A |
| Abdel-Basst et al. (2020b) | Not mentioned | 1. Doctors are specialised from medical field to assist in these evaluations | 3 |
| Albahri et al. (2020) | N/A | N/A | N/A |
| Garg et al. (2020) | Not mentioned | Not mentioned | Not mentioned |
| Yang et al. (2021) | Not mentioned | Individual mask user | Not mentioned |
| Shirazi et al. (2020) | Not mentioned |
The experts considered in this study have two categories 1. Companions and families of patients (decision maker 1) and 2. Patients (decision maker 2) |
2 |
| Naeem et al. (2020) | Not mentioned |
1. Two survivors of COVID-19 2. Two imaginary survivors who are easygoing and extraordinarily careful |
4 |
| Ortiz-Barrios et al. (2020) | Not mentioned |
A DM team is chosen considering their expertise 1. Related to disaster management, healthcare management and MCDM 2. Experience (at least 10 years in the Turkish healthcare sector) |
7 |
| Wan et al. (2021) | Not mentioned | 1. One senior decision maker academician and expert 25 years from domain | 6 |
| 2. Five decision maker academician and expert 10–20 years from domain | |||
| Manupati et al. (2021) | Diversified pool of experts with technical and domain expertise to make right decision as well as to achieve consensus | The expert committee consisted of professionals from various fields, which included a doctor, an environmental engineer, a professor of Industrial Engineering, a field expert from a waste management company and two HCW management experts | 6 |
| Zhang et al. (2020) | Not mentioned |
1. Medical background 2. Minimum bachelor’s degree 3. Experience from 3–10 years |
4 |
| Bharsakade et al. (2021) | Not mentioned | Not mentioned | Not mentioned |
| Mishra et al. (2019) | The authors requested from seven doctors to participate, however only three agreed to share the information |
1. Doctors have treated the patient who suffered COVID-19 2. The doctors are qualified virologist who study and understand virus behaviour in the human body 3. These doctors also had training from the medical council regarding drug usage on patients with COVID-19 symptoms and 4. Possessed 7–10 years of experience in the medical field |
3 |
| Baz et al. (2020) | Not mentioned | Not mentioned | Not mentioned |
| Ashraf and Abdullah (2020) | Not mentioned | Health expert | Not mentioned |
| Jain et al. (2021) | Not mentioned | Have research specialisation in human factors and ergonomics, occupational health and safety | 4 |
| Ghorui (2021) | Not mentioned | Doctors, whose domain is infectious disease and those who have been actively treating patients with COVID-19 | 2 |
| Grida et al. (2020) | Not mentioned | Not mentioned | Not mentioned |
| Jamshidiantehrani et al. (2020) | Not mentioned | Top executives, experts and specialists from Sina Pharmaceutical Company | 12 |
| Sharma et al. (2020) | Not mentioned |
1. Professional qualified 2. Work experience between 5–20 years |
Not mentioned |
| Khurana et al. (2020) | The experts were selected based on their research expertise in related fields |
1. Ten experts of the related field, with a minimum of 10 years of experience were selected for the study 2. Six professionals from the industry, two academic experts and two medical doctors |
10 |
| Ghosh et al. (2020) | Not mentioned | Not mentioned | Not mentioned |
| Moslem et al. (2020) | Sample size of population of the studied city | Citizen | 400 |
| Shah et al. (2020) | Not mentioned |
1. From academia, energy industry and local municipalities 2. From the academia, only those experts were invited who are engaged in waste-to-energy (WtE) and management research and have substantial related publications 3. The experts from industry and municipalities have vast experience of more than 10 years |
16 |
| Lam et al. (2021) | Not mentioned | Not mentioned | Not mentioned |
| Duan et al. (2021) | The expert panel is set up, which includes five experts in the fields of electric power industry management and enterprise risk management |
1. Three experts are enterprise practitioners 2. Two experts are academic professors |
5 |
| Yao (2021) | Not mentioned |
1. Professional, experienced experts from green economic efficiency 2. These experts belong to academia, research institute, economist and ecologist |
6 |
| Altuntas and Gok (2021) | Not mentioned | Not mentioned | Not mentioned |
| Ecer and Pamucar (2021) | Not mentioned | From the health care insurance sector: a health insurance director, a market development manager, a business development manager, a technical coordinator and a marketing communication expert | 5 |
| Althaf and Babbitt (2021) | Not mentioned | Not mentioned | Not mentioned |
| Chauhan et al. (2020) |
The responses of one group from each of the three cities must be: 1. The respondent group contained 5–7 members from government bodies such as the Pollution Control Board and the Urban Development Authority 2. The experts have been associated with the environment and the waste disposal related firms for the past 10–15 years, and spent a major portion of their work life in planning waste disposal systems |
3 groups | |
| Mardani et al. (2020) | Not mentioned | The experts were chosen from different expertise, for instance, ICT experts and IT managers | 3 |
| Gong et al. (2021) | Not mentioned | These experts are from knowledgeable e-learning teachers involved in educational design and online interface implementation with experience of at least 10 years | 4 |
| Development | |||
| Requia et al. (2019) | Not mentioned | Not mentioned | Not mentioned |
| Ashraf et al. (2020) | Not mentioned | Specialists’ decision maker | 3 |
| Ahmad et al. (2021) | Not mentioned | Domain experts and physicians, a team of doctors, experts and consultants | 5 |
| Nardo et al. (2020) | The experts were selected according to their experience in dealing with patients with COVID-19 and the prevalence of COVID-19 cases in the experts’ region: more experts based in northern Italian regions were invited than experts in southern regions where the disease is less prevalent |
The experts included 1. physicians based in emergency, 2. infectious diseases, pneumology 3. and internal medicine departments, and working in a variety of institutions (i.e. university hospitals, institutes for research and treatment and community hospitals) |
103 |
| Abdulsalam and Hossain (2020) | N/A | N/A | N/A |
| Albahri et al. (2020) | Not mentioned | A specialised expert in the respiratory field with more than 10 years of experience | 2 |
| Albahri and Hamid (2020) | Not mentioned | Medical experts and a specialised expert in the respiratory field with more than ten experience years | Not mentioned |
| Albahri (2020) | Not mentioned | Medical specialist | Not mentioned |
| Alsalem et al. (2021) | Not mentioned |
1. A specialised expert in the respiratory field 2. Have more than 10 years of experience in this field |
3 |
| Mohammed (2021) | Not mentioned |
1. Specialised experts in the virology field 2. Expert in the respiratory field 3. Have more than 10 years of experience in this field |
3 |
| Hezam et al. (2020) | Not mentioned | Specialists’ decision maker | 3 |
| Zidan (2021) | Followed PFWZIC guideline for panel experts’ selection based on a bibliometric analysis method | Specialists’ decision maker | 3 |
| Zaidan (2021a) | Followed T-SFWZIC guideline for panel experts’ selection based on a bibliometric analysis method | Specialists’ decision maker | 3 |
| Zaidan (2021b) | Followed q-ROFWZIC guideline for panel experts’ selection based on a bibliometric analysis method | Specialists’ decision maker | 3 |
N/A = Not applicable