The Development Strategy of Home-Based Exercise in China Based on the SWOT-AHP Model
Abstract
:1. Introduction
1.1. SWOT Analysis
1.2. Analytic Hierarchy Process (AHP)
1.3. SWOT-AHP Model
2. Methods
2.1. Factors Generation
2.2. AHP Instrument
2.3. Weight and Consistency Check
- 1.
- Construct comparison matrix A.
- 2.
- Calculate the geometrical mean () of each row of the judgment matrix using the product square root method.
- 3.
- Normalize the geometrical mean of each row to get the eigenvectors ().
- 4.
- Calculate the maximum eigenvalue () of the judgment matrix.
- 5.
- Calculate the consistency index (CI) and the consistency ratio (CR).
2.4. The Calculation of the Intensity of Factors and SWOT Strategic Quadrilateral
2.5. The Calculation of the Strategic Vector
3. Results
3.1. AHP Weights and the Intensities of Factors
3.2. SWOT Strategic Quadrilateral
3.3. Strategic Vector
- The center of gravity coordinate is:.
- The strategic azimuth is: .
- The strategic positive intensity is:
- The strategic negative intensity is:
- The strategic strength coefficient is:
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Liu, Q.; Zhou, Y.; Xie, X.; Xue, Q.; Zhu, K.; Wan, Z.; Wu, H.; Zhang, J.; Song, R. The prevalence of behavioral problems among school-aged children in home quarantine during the COVID-19 pandemic in china. J. Affect. Disord. 2021, 279, 412–416. [Google Scholar] [CrossRef] [PubMed]
- Maher, J.P.; Hevel, D.J.; Reifsteck, E.J.; Drollette, E.S. Physical activity is positively associated with college students’ positive affect regardless of stressful life events during the COVID-19 pandemic. Psychol. Sport Exerc. 2021, 52, 101826. [Google Scholar] [CrossRef]
- Amatori, S.; Donati Zeppa, S.; Preti, A.; Gervasi, M.; Gobbi, E.; Ferrini, F.; Rocchi, M.B.L.; Baldari, C.; Perroni, F.; Piccoli, G.; et al. Dietary Habits and Psychological States during COVID-19 Home Isolation in Italian College Students: The Role of Physical Exercise. Nutrients 2020, 12, 3660. [Google Scholar] [CrossRef]
- Meyer, S.M.; Landry, M.J.; Gustat, J.; Lemon, S.C.; Webster, C.A. Physical distancing physical inactivity. Transl. Behav. Med. 2021. [Google Scholar] [CrossRef] [PubMed]
- Tunay, V.B. Hospital-based versus home-based proprioceptive and strengthening exercise programs in knee osteoarthritis. Acta Orthop. Traumatol. Turc. 2010, 44, 270–277. [Google Scholar] [CrossRef] [PubMed]
- Chen, B.; Hu, N.; Tan, J.H. Efficacy of home-based exercise programme on physical function after hip fracture: A systematic review and meta-analysis of randomised controlled trials. Int. Wound J. 2019, 17, 45–54. [Google Scholar] [CrossRef]
- Büker, N.; Şavkın, R.; Ök, N. Comparison of Supervised Exercise and Home Exercise after Ankle Fracture. J. Foot Ankle Surg. 2019, 58, 822–827. [Google Scholar] [CrossRef] [PubMed]
- Brewer, B.W.; Cornelius, A.E.; Van Raalte, J.L.; Tennen, H.; Armeli, S. Predictors of adherence to home rehabilitation exercises following anterior cruciate ligament reconstruction. Rehabil. Psychol. 2013, 58, 64–72. [Google Scholar] [CrossRef] [Green Version]
- Ay, S.; Evcik, D.; Kutsal, Y.G.; Toraman, F.; Okumuş, M.; Eyigör, S.; Şahin, N. Compliance to home-based exercise therapy in elderly patients with knee osteoarthritis. Turk. J. Phys. Med. Rehabil. 2016, 62, 323–328. [Google Scholar] [CrossRef]
- Anwer, S.; Alghadir, A.; Brismée, J.-M. Effect of Home Exercise Program in Patients with Knee Osteoarthritis. J. Geriatric Physical Therapy 2016, 39, 38–48. [Google Scholar] [CrossRef]
- McDermott, M.M.; Polonsky, T.S. Home-Based Exercise A Therapeutic Option for Peripheral Artery Disease. Circulation 2016, 134, 1127–1129. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ohkubo, T.; Hozawa, A.; Nagatomi, R.; Fujita, K.; Sauvaget, C.; Watanabe, Y.; Anzai, Y.; Tamagawa, A.; Tsuji, I.; Imai, Y.; et al. Effects of exercise training on home blood pressure values in older adults: A randomized controlled trial. J. Hypertens. 2001, 19, 1045–1052. [Google Scholar] [CrossRef] [PubMed]
- Hwang, R.; Marwick, T. Efficacy of home-based exercise programmes for people with chronic heart failure: A meta-analysis. Eur. J. Cardiovasc. Prev. Rehabil. 2009, 16, 527–535. [Google Scholar] [CrossRef] [PubMed]
- Wu, S.-K.; Lin, Y.-W.; Chen, C.-L.; Tsai, S.-W. Cardiac Rehabilitation vs. Home Exercise After Coronary Artery Bypass Graft Surgery. Am. J. Phys. Med. Rehabil. 2006, 85, 711–717. [Google Scholar] [CrossRef]
- Babu, V.; Paul, N. Sudden deaths following the unexpected demise of a popular politician in India. Int. J. Cardiol. 2010, 145, 266–267. [Google Scholar] [CrossRef]
- Besnier, F.; Gayda, M.; Nigam, A.; Juneau, M.; Bherer, L. Cardiac Rehabilitation During Quarantine in COVID-19 Pandemic: Challenges for Center-Based Programs. Arch. Phys. Med. Rehabil. 2020, 101, 1835–1838. [Google Scholar] [CrossRef]
- Liu, X.; Li, P.; Li, J.; Xiao, L.; Li, N.; Lu, Y.; Wang, Z.; Su, J.; Wang, Z.; Shan, C.; et al. Home-Based Prescribed Pulmonary Exercise in Patients with Stable Chronic Obstructive Pulmonary Disease. J. Vis. Exp. 2019. [Google Scholar] [CrossRef] [PubMed]
- Behnke, M.; Taube, C.; Kirsten, D.; Lehnigk, B.; JÖRres, R.A.; Magnussen, H. Home-based exercise is capable of preserving hospital-based improvements in severe chronic obstructive pulmonary disease. Respir. Med. 2000, 94, 1184–1191. [Google Scholar] [CrossRef] [Green Version]
- Aytekin, E.; Caglar, N.S.; Ozgonenel, L.; Tutun, S.; Demiryontar, D.Y.; Demir, S.E. Home-based exercise therapy in patients with ankylosing spondylitis: Effects on pain, mobility, disease activity, quality of life, and respiratory functions. Clin. Rheumatol. 2011, 31, 91–97. [Google Scholar] [CrossRef]
- Wonders, K.Y.; Whisler, G.; Loy, H.; Holt, B.; Bohachek, K.; Wise, R. Ten weeks of home-based exercise attenuates symptoms of chemotherapy-induced peripheral neuropathy in breast cancer patients. Health Psychol. Res. 2013, 1, 149–152. [Google Scholar] [CrossRef]
- Kiechle, M.; Friese, K.; Felberbaum, R. Bewegungsmangel, ungesunde Ernährung und Übergewicht. Der Gynäkologe 2019, 52, 480–481. [Google Scholar] [CrossRef] [Green Version]
- Lopez, C.; Jones, J.; Alibhai, S.M.H.; Santa Mina, D. What Is the “Home” in Home-Based Exercise? The Need to Define Independent Exercise for Survivors of Cancer. J. Clin. Oncol. 2018, 36, 926–927. [Google Scholar] [CrossRef] [PubMed]
- Kim, J.Y.; Lee, M.K.; Lee, D.H.; Kang, D.W.; Min, J.H.; Lee, J.W.; Chu, S.H.; Cho, M.S.; Kim, N.K.; Jeon, J.Y. Effects of a 12-week home-based exercise program on quality of life, psychological health, and the level of physical activity in colorectal cancer survivors: A randomized controlled trial. Supportive Care Cancer 2018, 27, 2933–2940. [Google Scholar] [CrossRef] [PubMed]
- Schuch, F.B.; Vancampfort, D.; Richards, J.; Rosenbaum, S.; Ward, P.B.; Stubbs, B. Exercise as a treatment for depression: A meta-analysis adjusting for publication bias. J. Psychiatr. Res. 2016, 77, 42–51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Luan, X.; Tian, X.; Zhang, H.; Huang, R.; Li, N.; Chen, P.; Wang, R. Exercise as a prescription for patients with various diseases. J. Sport Health Sci. 2019, 8, 422–441. [Google Scholar] [CrossRef] [PubMed]
- Harvey, S.B.; Øverland, S.; Hatch, S.L.; Wessely, S.; Mykletun, A.; Hotopf, M. Exercise and the Prevention of Depression: Results of the HUNT Cohort Study. Am. J. Psychiatry 2018, 175, 28–36. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Stanton, R.; Reaburn, P. Exercise and the treatment of depression: A review of the exercise program variables. J. Sci. Med. Sport 2014, 17, 177–182. [Google Scholar] [CrossRef]
- Flynn, A.; Allen, N.E.; Dennis, S.; Canning, C.G.; Preston, E. Home-based prescribed exercise improves balance-related activities in people with Parkinson’s disease and has benefits similar to centre-based exercise: A systematic review. J. Physiother. 2019, 65, 189–199. [Google Scholar] [CrossRef]
- Pu, B.; Zhang, L.; Tang, Z.; Qiu, Y. The Relationship between Health Consciousness and Home-Based Exercise in China during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2020, 17, 5693. [Google Scholar] [CrossRef]
- Mao, H.Y.; Hsu, H.C.; Lee, S.D. Gender differences in related influential factors of regular exercise behavior among people in Taiwan in 2007: A cross-sectional study. PLoS ONE 2020, 15, e0228191. [Google Scholar] [CrossRef] [Green Version]
- Molanorouzi, K.; Khoo, S.; Morris, T. Motives for adult participation in physical activity: Type of activity, age, and gender. BMC Public Health 2015, 15, 66. [Google Scholar] [CrossRef] [Green Version]
- Bennie, J.A.; De Cocker, K.; Smith, J.J.; Wiesner, G.H. The epidemiology of muscle-strengthening exercise in Europe: A 28-country comparison including 280,605 adults. PLoS ONE 2020, 15, e0242220. [Google Scholar] [CrossRef] [PubMed]
- Ghazinoory, S.; Abdi, M.; Azadegan-Mehr, M. Swot Methodology: A State-of-the-Art Review for the Past, a Framework for the Future/Ssgg Metodologija: Praeities Ir Ateities AnalizĖ. J. Bus. Econ. Manag. 2011, 12, 24–48. [Google Scholar] [CrossRef] [Green Version]
- Helms, M.M.; Nixon, J. Exploring SWOT analysis—Where are we now? J. Strategy Manag. 2010, 3, 215–251. [Google Scholar] [CrossRef]
- Chang, H.-H.; Huang, W.-C. Application of a quantification SWOT analytical method. Math. Comput. Model. 2006, 43, 158–169. [Google Scholar] [CrossRef]
- Sałabun, W.; Wątróbski, J.; Shekhovtsov, A. Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods. Symmetry 2020, 12, 1549. [Google Scholar] [CrossRef]
- Zyoud, S.H.; Fuchs-Hanusch, D. A bibliometric-based survey on AHP and TOPSIS techniques. Expert Syst. Appl. 2017, 78, 158–181. [Google Scholar] [CrossRef]
- Kim, Y.-J.; Park, J. A Sustainable Development Strategy for the Uzbekistan Textile Industry: The Results of a SWOT-AHP Analysis. Sustainability 2019, 11, 4613. [Google Scholar] [CrossRef] [Green Version]
- Lee, S.; Walsh, P. SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport. Sport Manag. Rev. 2011, 14, 361–369. [Google Scholar] [CrossRef]
- Saaty, T.L. Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 2008, 1, 83–98. [Google Scholar] [CrossRef] [Green Version]
- Saaty, T.L. The Analytic Hierarchy Process; McGraw-Hill: New York, NY, USA, 1980. [Google Scholar]
- Subramanian, N.; Ramanathan, R. A review of applications of Analytic Hierarchy Process in operations management. Int. J. Prod. Econ. 2012, 138, 215–241. [Google Scholar] [CrossRef]
- Liberatore, M.J.; Nydick, R.L. The analytic hierarchy process in medical and health care decision making: A literature review. Eur. J. Oper. Res. 2008, 189, 194–207. [Google Scholar] [CrossRef]
- Mustafa, M.A.; Albahar, J.F. Project risk assessment using the analytic hierarchy process. IEEE Trans. Eng. Manag. 1991, 38, 46–52. [Google Scholar] [CrossRef]
- Vaidya, O.S.; Kumar, S. Analytic hierarchy process: An overview of applications. Eur. J. Oper. Res. 2006, 169, 1–29. [Google Scholar] [CrossRef]
- Ishizaka, A.; Labib, A. Review of the main developments in the analytic hierarchy process. Expert Syst. Appl. 2011. [Google Scholar] [CrossRef] [Green Version]
- Sałabun, W.; Ziemba, P.; Wątróbski, J. The Rank Reversals Paradox in Management Decisions: The Comparison of the AHP and COMET Methods. In Intelligent Decision Technologies; Springer: Cham, Switzerland, 2016; Volume 2016, pp. 181–191. [Google Scholar] [CrossRef]
- Gong, T.; Yan, H. An Improvement Research of SWOT Method Based on Analytic Hierarchy Process. Appl. Mech. Mater. 2012, 263–266, 2287–2290. [Google Scholar] [CrossRef]
- Abdel-Basset, M.; Mohamed, M.; Smarandache, F. An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making. Symmetry 2018, 10, 116. [Google Scholar] [CrossRef] [Green Version]
- Ho, W. Integrated analytic hierarchy process and its applications—A literature review. Eur. J. Oper. Res. 2008, 186, 211–228. [Google Scholar] [CrossRef]
- Marttunen, M.; Lienert, J.; Belton, V. Structuring problems for Multi-Criteria Decision Analysis in practice: A literature review of method combinations. Eur. J. Oper. Res. 2017, 263, 1–17. [Google Scholar] [CrossRef] [Green Version]
- Yuan, J.; Xie, H.; Yang, D.; Xiahou, X.; Skibniewski, M.J.; Huang, W. Strategy formulation for the sustainable development of smart cities: A case study of Nanjing, China. Int. J. Strateg. Prop. Manag. 2020, 24, 379–399. [Google Scholar] [CrossRef]
- Liu, R.; Wang, Y.; Qian, Z. Hybrid SWOT-AHP Analysis of Strategic Decisions of Coastal Tourism: A Case Study of Shandong Peninsula Blue Economic Zone. J. Coast. Res. 2019, 94. [Google Scholar] [CrossRef]
- Liu, F.H.; Wang, M.J.; Han, Y.G. The Development Strategy of China’s Wushu Sanda Based on SWOT-AHP Model. China Sport Sci. Technol. 2016, 52, 27–34. [Google Scholar] [CrossRef]
- Liu, Y.; Liu, X.; Liang, Z. Evaluation of Henan Sports Tourism Resources Based on AHP and Fuzzy Mathematics. Areal Res. Dev. 2012, 31, 108–111. [Google Scholar]
- Kim, J. Environment Analysis Strategy for Revitalizing Cultural Sports. J. Korea Entertain. Ind. Assoc. 2018, 12, 191–201. [Google Scholar] [CrossRef]
- Committee, C.C.; Council, S. The Central Committee of the Communist Party of China and the State Council issued the “Outline of the ‘Healthy China 2030’ Plan”. Available online: http://www.gov.cn/xinwen/2016-10/25/content_5124174.htm (accessed on 25 October 2016).
- Office of the State Council. Notice of the General Office of the State Council on Issuing the Outline for Building a Leading Sports Nation. Available online: http://www.gov.cn/zhengce/content/2019-09/02/content_5426485.htm (accessed on 2 September 2019).
- General Office of the State Sports General Administration. Notice of the General Office of the State Sports General Administration on Vigorously Promoting Scientific Home-based Exercise Methods. Available online: http://www.sport.gov.cn/n316/n336/c941798/content.html (accessed on 30 January 2020).
- Research i. 2014–2021 China’s Online Sports Goods Market Scale and Forecast. Available online: https://data.iimedia.cn/data-classification/detail/13209702.html (accessed on 10 July 2020).
- Research i. 2012–2022 China’s Sports Industry Output Value and Forecast. Available online: https://data.iimedia.cn/data-classification/detail/13002939.html (accessed on 2 July 2019).
- Ma, H.; Pang, X. Research and Analysis of Sport Medical Data Processing Algorithms Based on Deep Learning and Internet of Things. IEEE Access 2019, 7, 118839–118849. [Google Scholar] [CrossRef]
- Xiao, N.; Yu, W.; Han, X. Wearable heart rate monitoring intelligent sports bracelet based on Internet of things. Measurement 2020, 164. [Google Scholar] [CrossRef]
- Tao, S. Sports Equipment Based on High-Tech Materials. Appl. Mech. Mater. 2013, 340, 378–381. [Google Scholar] [CrossRef]
- Qiu, Y.-H.; Kai, H.; Luo, X.-J. Application of Computer Virtual Reality Technology in Modern Sports. In Proceedings of the 2013 Third International Conference on Intelligent System Design and Engineering Applications, Hong Kong, China, 16–18 January 2013; pp. 362–364. [Google Scholar]
- Wang, S.-Y.; Zhou, Y. Study on the Application of VR Technology in Sport Reality Shows. In Proceedings of the 2018 1st International Cognitive Cities Conference (IC3), Okinawa, Japan, 7–9 August 2018; pp. 200–201. [Google Scholar]
- Zhang, H.-L.; Zhang, H.-J.; Guo, X.-T. Research on the future development prospects of sports products industry under the mode of e-commerce and internet of things. Inf. Syst. E-Bus. Manag. 2020, 18, 511–525. [Google Scholar] [CrossRef]
- Zhuo, L.; Guan, X.; Ye, S. Quantitative Evaluation and Prediction Analysis of the Healthy and Sustainable Development of China’s Sports Industry. Sustainability 2020, 12, 2184. [Google Scholar] [CrossRef] [Green Version]
- Jiang, W. Application of Plastic Composites in Sports Facilities and Fitness Equipment. China Plast. Ind. 2019, 47, 152–155. [Google Scholar]
- Duarte-Rojo, A.; Bloomer, P.M.; Rogers, R.J.; Hassan, M.A.; Dunn, M.A.; Tevar, A.D.; Vivis, S.L.; Bataller, R.; Hughes, C.B.; Ferrando, A.A.; et al. Introducing EL-FIT (Exercise and Liver FITness): A Smartphone App to Prehabilitate and Monitor Liver Transplant Candidates. Liver Transplant. 2020. [Google Scholar] [CrossRef] [PubMed]
- McConville, R.; Archer, G.; Craddock, I.; Kozlowski, M.; Piechocki, R.; Pope, J.; Santos-Rodriguez, R. Vesta: A digital health analytics platform for a smart home in a box. Future Gener. Comput. Syst. 2021, 114, 106–119. [Google Scholar] [CrossRef]
- Fearnbach, S.N.; Flanagan, E.W.; Hochsmann, C.; Beyl, R.A.; Altazan, A.D.; Martin, C.K.; Redman, L.M. Factors Protecting against a Decline in Physical Activity during the COVID-19 Pandemic. Med. Sci. Sports Exerc. 2021. [Google Scholar] [CrossRef] [PubMed]
- Loellgen, H.; Zupet, P.; Bachl, N.; Debruyne, A. Physical Activity, Exercise Prescription for Health and Home-Based Rehabilitation. Sustainability 2020, 12, 230. [Google Scholar] [CrossRef]
- Puyat, J.H.; Ahmad, H.; Avina-Galindo, A.M.; Kazanjian, A.; Gupta, A.; Ellis, U.; Ashe, M.C.; Vila-Rodriguez, F.; Halli, P.; Salmon, A.; et al. A rapid review of home-based activities that can promote mental wellness during the COVID-19 pandemic. PLoS ONE 2020, 15. [Google Scholar] [CrossRef]
- Lippi, G.; Henry, B.M.; Bovo, C.; Sanchis-Gomar, F. Health risks and potential remedies during prolonged lockdowns for coronavirus disease 2019 (COVID-19). Diagnosis 2020, 7, 85–90. [Google Scholar] [CrossRef] [PubMed]
- Garcia-Fernandez, J.; Galvez-Ruiz, P.; Grimaldi-Puyana, M.; Angosto, S.; Fernandez-Gavira, J.; Bohorquez, M.R. The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps. Int. J. Environ. Res. Public Health 2020, 17, 6839. [Google Scholar] [CrossRef]
- Bitrian, P.; Buil, I.; Catalan, S. Gamification in sport apps: The determinants of users’ motivation. Eur. J. Manag. Bus. Econ. 2020, 29, 365–381. [Google Scholar] [CrossRef]
- Vega-Ramirez, L.; Notario, R.O.; Avalos-Ramos, M.A. The Relevance of Mobile Applications in the Learning of Physical Education. Educ. Sci. 2020, 10, 329. [Google Scholar] [CrossRef]
SWOT Group | SWOT Factor | Description of Factor |
---|---|---|
Strengths (S) | S1 Construction of a leading sports nation | The issuance of various policies has promoted China’s sports industry [57,58]. |
S2 Increased awareness of exercise | People have gradually realized the importance of physical health. | |
S3 Time Freedom | Home-based exercise can meet the demand of most office workers to do sports. | |
S4 Low cost and convenient | People can complete the sports with light equipment or just with hands, and home-based exercise is not affected by the weather and is more convenient. | |
Weaknesses (W) | W1 Limited space leads to fewer sports methods | The equipment that can be used is basically simple and lightweight and there are fewer options to do sports at home, which are more restrictive. |
W2 Monotonous and boring form of exercise | Home-based exercise is less interesting and easy to cause boredom. | |
W3 Less theoretical research and insufficient professional talents | There are relatively few theoretical studies and there is still a lack of innovative talents who can cross-study sports with other disciplines. | |
Opportunities (O) | O1 Support provided by the government | “Notice on Vigorously Promoting Scientific Home-based Exercise Methods” issued by the General Administration of Sports of China provides strong support for the future development of home-based exercise [59]. |
O2 The stable development of sports industry | The output value of China’s sports industry and the scale of the online sports market have grown steadily every year, laying a solid foundation for the development of home-based exercise [60,61]. | |
O3 The rapid development of intelligent sports | Wearable devices, intelligent sports equipment, intelligent sports entertainment products, virtual reality technology, artificial intelligence motion algorithms and various new environmentally friendly materials used in sports equipment are also key projects for the development of the intelligent sports industry [62,63,64,65,66]. | |
Threats (T) | T1 Noise | It is very likely that excessive noise will be produced, affecting neighbors. |
T2 Easy to be slack at home | Exercise at home can easily make people slack and become lazy. | |
T3 Fading enthusiasm for home-based exercise | After the epidemic, the enthusiasm for home exercise easily fades. |
Intensity of Importance | Definition | Explanation |
---|---|---|
1 | Equal Importance | Two activities contribute equally to the objective |
3 | Moderate importance | Experience and judgement slightly favor one activity over another |
5 | Strong importance | Experience and judgement strongly favor one activity over another |
7 | Very strong or demonstrated importance | An activity is favored very strongly over another; its dominance is demonstrated in practice |
9 | Extreme importance | The evidence favoring one activity over another is of the highest possible order of affirmation |
2,4,6,8 | Importance between the above levels | |
Reciprocals of the above | If activity i has one of the above non-zero numbers assigned to it when compared with activity j, then j has the reciprocal value when compared with i | A reasonable assumption |
n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 |
SWOT Group | Comparison Matrix | Factor Weight | Consistency Index (CI) | Consistency Ratio (CR) | |
---|---|---|---|---|---|
Strengths (S) | WS1 = 0.4915 | 4.0484 | 0.0161 | 0.0179 | |
WS2 = 0.3059 | |||||
WS3 = 0.1249 | |||||
WS4 = 0.0777 | |||||
Weaknesses (W) | WW1 = 0.2184 | 3.1078 | 0.0539 | 0.0929 | |
WW2 = 0.1515 | |||||
WW3 = 0.6301 | |||||
Opportunities (O) | WO1 = 0.2176 | 3.0536 | 0.0268 | 0.0462 | |
WO2 = 0.0914 | |||||
WO3 = 0.6909 | |||||
Threats (T) | WT1 = 0.1220 | 3.0183 | 0.00915 | 0.0158 | |
WT2 = 0.3196 | |||||
WT3 = 0.5584 |
SWOT Group | Factor Weight | Estimated Strength | Factor Intensity | Total Intensity |
---|---|---|---|---|
Strengths (S) | WS1 = 0.4915 | 5 | 2.4575 | |
WS2 = 0.3059 | 4 | 1.2236 | ||
WS3 = 0.1249 | 3 | 0.3747 | ||
WS4 = 0.0777 | 2 | 0.1554 | ||
Weaknesses (W) | WW1 = 0.2184 | −3 | −0.6552 | |
WW2 = 0.1515 | −2 | −0.3030 | ||
WW3 = 0.6301 | −4 | −2.5204 | ||
Opportunities (O) | WO1 = 0.2176 | 3 | 0.6528 | |
WO2 = 0.0914 | 2 | 0.1828 | ||
WO3 = 0.6909 | 5 | 3.4545 | ||
Threats (T) | WT1 = 0.1220 | −1 | −0.1220 | |
WT2 = 0.3196 | −3 | −0.9588 | ||
WT3 = 0.5584 | −4 | −2.2336 |
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Li, H.; Chen, X.; Fang, Y. The Development Strategy of Home-Based Exercise in China Based on the SWOT-AHP Model. Int. J. Environ. Res. Public Health 2021, 18, 1224. https://doi.org/10.3390/ijerph18031224
Li H, Chen X, Fang Y. The Development Strategy of Home-Based Exercise in China Based on the SWOT-AHP Model. International Journal of Environmental Research and Public Health. 2021; 18(3):1224. https://doi.org/10.3390/ijerph18031224
Chicago/Turabian StyleLi, Hanming, Xingquan Chen, and Yiwei Fang. 2021. "The Development Strategy of Home-Based Exercise in China Based on the SWOT-AHP Model" International Journal of Environmental Research and Public Health 18, no. 3: 1224. https://doi.org/10.3390/ijerph18031224
APA StyleLi, H., Chen, X., & Fang, Y. (2021). The Development Strategy of Home-Based Exercise in China Based on the SWOT-AHP Model. International Journal of Environmental Research and Public Health, 18(3), 1224. https://doi.org/10.3390/ijerph18031224