| Literature DB >> 35571380 |
Haibin Yuan1,2, Fernando A F Ferreira1,3.
Abstract
China's government has always attached great importance to protecting women and children's rights and has made a consistent effort to promote their all-round health. The on-going medical reforms in the country have resulted in a falling birth rate and rising demand for increasingly diversified, multi-level healthcare services. Maternal and child health (MCH) institutions have had to implement more extensive changes and deal with greater challenges in order to survive and develop. MCH organizations thus need to find ways to improve their competitiveness. This study integrates qualitative and quantitative business analytics methods by conducting empirical research using varied techniques, namely the Delphi method and analytic hierarchy process (AHP). A panel of experts were consulted in three rounds of surveys, and the results were processed with AHP in order to develop an evaluation indicator model of MCH institutions' competitive advantages. Ten hospitals were selected to verify the model's applicability. Sensitivity analysis confirmed that the model has good stability. The proposed model highlights that human resources have the greatest weight as a determinant of competitive advantage. The findings, therefore, concentrate on people as the core resource, suggesting that MCH institutions can acquire and maintain competitive advantages based on three dimensions: department leader development, improved scientific research capacity, and a more flexible hospital culture.Entities:
Keywords: Business analytics methods; Competitive advantage; Dynamic capability; Maternal and child health institutions; Operational research; Resource
Year: 2022 PMID: 35571380 PMCID: PMC9088137 DOI: 10.1007/s10479-022-04738-9
Source DB: PubMed Journal: Ann Oper Res ISSN: 0254-5330 Impact factor: 4.820
Fig. 1Research approach
Fig. 2China’s MCH service system.
Source: Qiao et al., (2021, p. 7)
Fig. 3Realistic model of corporate competitive advantage development
Basic profile of selected experts
| Basic information | Group | Number |
|---|---|---|
| Age (years) | ≤ 40 | 3 |
| 41–50 | 17 | |
| > 50 | 10 | |
| Gender | Male | 11 |
| Female | 19 | |
| Years of work | 10–15 | 3 |
| 16–20 | 3 | |
| 21–25 | 8 | |
| > 25 | 16 | |
| Title | Physician | 5 |
| Associate professor | 17 | |
| Professor | 8 |
Sustainable competitive advantage indexes with assigned weights
| Second-level index | Weight | N | Third-level index | Weight | Comprehensive weight |
|---|---|---|---|---|---|
| Financial resources | 0.096 | 1 | Proportion of funds reserved for scientific research and education | 0.667 | 0.064032 |
| 2 | Percentage of income from medical services | 0.333 | 0.031968 | ||
| Human resources | 0.356 | 1 | Talent development | 0.136 | 0.048416 |
| 2 | Talent retention rate | 0.136 | 0.048416 | ||
| 3 | Department leaders’ regional influence | 0.474 | 0.168744 | ||
| 4 | Staff title structure | 0.050 | 0.017800 | ||
| 5 | Staff academic qualification structure | 0.048 | 0.017088 | ||
| 6 | Staff training mechanisms | 0.156 | 0.055536 | ||
| Brand resources | 0.185 | 1 | Senior management team’s social influence | 0.048 | 0.008880 |
| 2 | Intra-industry recognition | 0.149 | 0.027565 | ||
| 3 | Patient satisfaction | 0.062 | 0.011470 | ||
| 4 | Patient loyalty | 0.066 | 0.012210 | ||
| 5 | Brand promotion ability | 0.037 | 0.006845 | ||
| 6 | Medical areas’ service chain throughout patients’ life cycle | 0.071 | 0.013135 | ||
| 7 | Number of characteristic medical fields and key specialties | 0.218 | 0.040330 | ||
| 8 | Hospital’s social influence | 0.144 | 0.026640 | ||
| 9 | Ability to treat difficult and severe cases | 0.205 | 0.037925 | ||
| Cultural resources | 0.056 | 1 | Understanding of MCH policies | 0.322 | 0.018032 |
| 2 | Hospital’s long-term planning | 0.256 | 0.014336 | ||
| 3 | Employee cohesion | 0.207 | 0.011592 | ||
| 4 | Staff’s cultural identity | 0.126 | 0.007056 | ||
| 5 | Staff satisfaction | 0.089 | 0.004984 | ||
| Material resources | 0.056 | 1 | Special diagnosis and treatment equipment specifically for MCH | 0.667 | 0.037352 |
| 2 | Business area | 0.333 | 0.018648 | ||
| Organizational resources | 0.251 | 1 | MCH networks | 0.276 | 0.069276 |
| 2 | Public health management capabilities | 0.147 | 0.036897 | ||
| 3 | Senior management’s decision-making ability | 0.204 | 0.051204 | ||
| 4 | Performance incentive mechanisms | 0.105 | 0.026355 | ||
| 5 | Market resilience | 0.059 | 0.014809 | ||
| 6 | Information resource utilization | 0.028 | 0.007028 | ||
| 7 | Department structure | 0.101 | 0.025351 | ||
| 8 | Importance attached to healthcare by medical staff | 0.032 | 0.008032 | ||
| 9 | Integrated healthcare services capacity | 0.048 | 0.012048 |
N number. All consistency indexes lower than 0.10
Overall scores and rankings of MCH institutions
| Hospital | Overall score | Ranking |
|---|---|---|
| MCH1 | 5.7151 | 8 |
| MCH2 | 6.6846 | 3 |
| MCH3 | 6.1756 | 5 |
| MCH4 | 5.9441 | 7 |
| MCH5 | 5.7038 | 9 |
| MCH6 | 6.0672 | 6 |
| MCH7 | 5.5945 | 10 |
| MCH8 | 6.6407 | 4 |
| MCH9 | 6.8099 | 2 |
| MCH10 | 7.6174 | 1 |
Sensitivity analysis of department leaders’ regional influence index
| Weight | Priority ranking | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| MCH1 | MCH2 | MCH3 | MCH4 | MCH5 | MCH6 | MCH7 | MCH8 | MCH9 | MCH 10 | |
| 0.00273 | 0.075 | 0.108 | 0.100 | 0.095 | 0.091 | 0.097 | 0.090 | 0.108 | 0.112 | 0.125 |
| 10 | 3 | 5 | 7 | 8 | 6 | 9 | 4 | 2 | 1 | |
| 0.04219 | 0.082 | 0.107 | 0.099 | 0.095 | 0.091 | 0.097 | 0.089 | 0.107 | 0.110 | 0.123 |
| 10 | 3 | 5 | 7 | 8 | 6 | 9 | 4 | 2 | 1 | |
| 0.08166 | 0.088 | 0.106 | 0.099 | 0.094 | 0.090 | 0.096 | 0.088 | 0.106 | 0.110 | 0.123 |
| 9 | 3 | 5 | 7 | 8 | 6 | 10 | 4 | 2 | 1 | |
| 0.08956 | 0.090 | 0.106 | 0.099 | 0.094 | 0.090 | 0.096 | 0.088 | 0.106 | 0.110 | 0.122 |
| 8 | 3 | 5 | 7 | 9 | 6 | 10 | 4 | 2 | 1 | |
| 0.11850 | 0.095 | 0.105 | 0.098 | 0.093 | 0.089 | 0.096 | 0.088 | 0.105 | 0.109 | 0.122 |
| 7 | 3 | 5 | 8 | 9 | 6 | 10 | 4 | 2 | 1 | |
| 0.12376 | 0.095 | 0.105 | 0.098 | 0.093 | 0.089 | 0.095 | 0.088 | 0.105 | 0.109 | 0.122 |
| 6 | 3 | 5 | 8 | 9 | 7 | 10 | 4 | 2 | 1 | |
| 0.13954 | 0.098 | 0.105 | 0.098 | 0.093 | 0.089 | 0.095 | 0.087 | 0.105 | 0.109 | 0.121 |
| 5 | 3 | 6 | 8 | 9 | 7 | 10 | 4 | 2 | 1 | |
| 0.17375 | 0.104 | 0.104 | 0.097 | 0.093 | 0.089 | 0.095 | 0.087 | 0.104 | 0.107 | 0.119 |
| 4 | 3 | 6 | 8 | 9 | 7 | 10 | 5 | 2 | 1 | |
| 0.17638 | 0.104 | 0.104 | 0.097 | 0.093 | 0.088 | 0.095 | 0.087 | 0.104 | 0.108 | 0.120 |
| 3 | 4 | 6 | 8 | 9 | 7 | 10 | 5 | 2 | 1 | |
| 0.19217 | 0.108 | 0.104 | 0.096 | 0.092 | 0.088 | 0.094 | 0.087 | 0.104 | 0.108 | 0.120 |
| 2 | 4 | 6 | 8 | 9 | 7 | 10 | 5 | 3 | 1 | |
| 0.25794 | 0.118 | 0.103 | 0.095 | 0.091 | 0.087 | 0.093 | 0.086 | 0.103 | 0.106 | 0.118 |
| 1 | 4 | 6 | 8 | 9 | 7 | 10 | 5 | 3 | 2 | |
| 0.51872 | 0.162 | 0.098 | 0.090 | 0.087 | 0.083 | 0.089 | 0.082 | 0.097 | 0.100 | 0.110 |
| 1 | 4 | 6 | 8 | 9 | 7 | 10 | 5 | 3 | 2 | |
Robustness analysis of department leaders’ regional influence index
| Weight | Weight ranking | (MCH1-MCH10) | ||||
|---|---|---|---|---|---|---|
| CTR1 | CTR2 | CTR33 | CTR4 | CTR5 | ||
| 0.0000 | 0.2964 | 0.0944 | 0.2586 | 0.0920 | 0.2586 | 9,3,7,5,8,6,10,4,2,1 |
| 0.0512 | 0.2812 | 0.0895 | 0.2454 | 0.0873 | 0.2454 | 9,3,7,5,8,6,10,4,2,1 |
| 0.1069 | 0.2647 | 0.0843 | 0.2310 | 0.0821 | 0.2310 | 9,3,7,5,8,6,10,4,2,1 |
| 0.1582 | 0.2495 | 0.0795 | 0.2177 | 0.0774 | 0.2177 | 9,3,7,5,8,6,10,4,2,1 |
| 0.2094 | 0.2343 | 0.0746 | 0.2045 | 0.0727 | 0.2045 | 9,3,7,5,8,6,10,4,2,1 |
| 0.2564 | 0.2204 | 0.0702 | 0.1923 | 0.0684 | 0.1923 | 9,3,7,5,8,6,10,4,2,1 |
| 0.3121 | 0.2039 | 0.0649 | 0.1779 | 0.0633 | 0.1779 | 9,3,6,5,8,7,10,4,2,1 |
| 0.3674 | 0.1875 | 0.0597 | 0.1636 | 0.0582 | 0.1636 | 9,3,6,5,8,7,10,4,2,1 |
| 0.4103 | 0.1748 | 0.0557 | 0.1525 | 0.0542 | 0.1525 | 9,3,6,5,8,7,10,4,2,1 |