Research Article
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Year 2023, Volume: 14 Issue: 1, 43 - 62, 27.04.2023
https://doi.org/10.54141/psbd.1182006

Abstract

References

  • Agarwal, R., Ahuja, M., Carter, P. E., & Gans, M. (1998, September). Early and late adopters of IT innovations: extensions to innovation diffusion theory. In Proceedings of the DIGIT Conference (pp. 1-18).
  • Aktaş, R., Doğanay M. M., Gökmen Y., Gazibey Y. and Türen, U., (2015) Sayısal karar verme yöntemleri, Beta Yayınları, İstanbul.
  • Alfaro, J., Ortiz, A., & Poler, R. (2007). Performance measurement system for business processes. Production Planning and Control, 18(8), 641-654. https://doi.org/10.1080/09537280701599772
  • Ananthakrishnan, U. M., Chen, J., & Susarla, A. (2020). No Pain, No Gain: Examining the Digital Resilience of the Fitness Sector During the COVID-19 Pandemic. No Gain: Examining the Digital Resilience of the Fitness Sector During the COVID-19 Pandemic (November 30, 2020).
  • Angosto, S., García-Fernández, J., Valantine, I., & Grimaldi-Puyana, M. (2020). The intention to use fitness and physical activity apps: a systematic review. Sustainability, 12(16), 6641. https://doi.org/10.3390/su12166641
  • Apptopia (2023, March 7). Understanding the growth of mobile video, Retrieved from Future of Fitness (2).pdf (apptopia.com)
  • Baird, B. F. (1989). Managerial decisions under uncertainty: An introduction to the analysis of decision making (Vol. 4). John Wiley & Sons.
  • Berger, M. (2005). Upgrading the System of Innovation in Late-Industrialising Countries-The Role of Transnational Corporations in Thailand's Manufacturing Sector (Doctoral dissertation).
  • Bondaronek, P., Alkhaldi, G., Slee, A., Hamilton, F. L., & Murray, E. (2018). Quality of publicly available physical activity apps: review and content analysis. JMIR mHealth and uHealth, 6(3), e9069. https://doi.org/10.2196/mhealth.9069
  • Bounie, D., Camara, Y., & Galbraith, J. W. (2020). Consumers' Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data. Available at SSRN 3588373.
  • Carlo, A. D., Ghomi, R. H., Renn, B. N., & Areán, P. A. (2019). By the numbers: ratings and utilization of behavioral health mobile applications. NPJ digital medicine, 2(1), 1-8. https://doi.org/10.1038/s41746-019-0129-6
  • Ceballos, B., Lamata, M. T., & Pelta, D. A. (2016). A comparative analysis of multi-criteria decision-making methods. Progress in Artificial Intelligence, 5(4), 315-322.
  • Cho, J., & Kim, S. (2020). Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics, 55, 101301. https://doi.org/10.1016/j.tele.2019.101301
  • Devezas, T. (2020). The struggle SARS-CoV-2 vs. homo sapiens–Why the earth stood still, and how will it keep moving on?. Technological forecasting and social change, 160, 120264. https://doi.org/10.1016/j.techfore.2020.120264
  • Ebrahimi, A., Mehdipoor, A., & Azmsha, T. (2015). Analysis locating sport gyms through geographical information system and AHP model (case study: Ahvaz city). International Journal of Sport Studies, 5(3), 333-340.
  • Galindo, N. M., Sá, G. G. D. M., Barbosa, L. U., Pereira, J. D. C. N., Henriques, A. H. B., & Barros, L. M. (2020). COVID-19 and digital technology: mobile applications available for download in smartphones. https://doi.org/10.1590/1980-265X-TCE-2020-0150
  • Güneş, S. (2010). Yenilik yayılımı: Bir araştırma. Yayınlanmamış Yüksek Lisans Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü İşletme Anabilim Dalı İşletme Yönetimi ve Organizasyon Bilim Dalı, İstanbul.
  • Greco, S. (1997). A new pcca method: Idra. European Journal of Operational Research, 98(3), 587-601. https://doi.org/10.1016/S0377-2217(96)00022-7
  • Grundy, Q. H., Wang, Z., & Bero, L. A. (2016). Challenges in assessing mobile health app quality: a systematic review of prevalent and innovative methods. American journal of preventive medicine, 51(6), 1051-1059. https://doi.org/10.1016/j.amepre.2016.07.009
  • Heidenreich, S., & Talke, K. (2020). Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption. AMS Review, 10(3), 279-298. https://doi.org/10.1007/s13162-020-00164-x
  • Hermsen, S., Moons, J., Kerkhof, P., Wiekens, C., & De Groot, M. (2017). Determinants for sustained use of an activity tracker: observational study. JMIR mHealth and uHealth, 5(10), e164. https://doi.org/10.2196/mhealth.7311
  • Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: methods and software. John Wiley & Sons.
  • Jones H., & Nikolaeva M. (2020). Contactless Payments Can Help Cut contagion: EU Banking Watchdog Reuters March 25. https://www.reuters.com/article/us-health-coronavirus-eu-banks/contactless-payments-can-help-cut-contagion-eu-banking-watchdog-idUSKBN21C1BL, Accessed 7th Mar 2023.
  • Kavak, B., Sunaoğlu, Ş. K., & Taner, N. (2016). Yeniliği benimseyen kategorilerinin bütüncül ve analitik düşünme açısından farklılıkları akıllı telefonlar için bir inceleme. Pazarlama ve Pazarlama Araştırmaları Dergisi, 10(20), 179-200.
  • Knotek II, E. S., Schoenle, R., Dietrich, A., Kuester, K., Müller, G., Myrseth, K. O. R., & Weber, M. (2020). Consumers and COVID-19: A real-time survey. Economic Commentary, (2020-08). https://doi.org/10.26509/frbc-ec-202008
  • Lee, S. (2008). Sport sponsors' decision making in a global market: An application of Analytical Hierarchy Process (AHP). University of Minnesota.
  • Lee, S., and Walsh, P. (2011). SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport. Sport management review, 14(4), 361-369. https://doi.org/10.1016/j.smr.2010.12.003
  • Lee, S., & Ross, S. D. (2012). Sport sponsorship decision making in a global market: An approach of Analytic Hierarchy Process (AHP). Sport, Business and Management: An International Journal. https://doi.org/10.1108/20426781211243999
  • Lee, S. M., & Trimi, S. (2021). Convergence innovation in the digital age and in the COVID-19 pandemic crisis. Journal of Business Research, 123, 14-22. https://doi.org/10.1016/j.jbusres.2020.09.041
  • Li, C., & Lalani, F. (2020, April). The COVID-19 pandemic has changed education forever. This is how. In World economic forum (Vol. 29).
  • Liu, J., Liao, X., Huang, W., & Liao, X. (2019). Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision. Omega, 83, 1-13. https://doi.org/10.1016/j.omega.2018.01.008
  • Ludi, L., & Yao, L. (2015). Research on the Application of AHP in the Selection of the Leading Sport Industry in Shanxi Province. Bulletin of Sport Science and Technology, 02.
  • Marjani, M. E., Mojahed, M., & Marjani, S. (2013). Usage of group AHP approach in sport shoes selection. In Proceedings of the 12 th International Symposium on the Analytic Hierarchy Process/Analytic Network Process (ISAHP) (pp. 23-26).
  • McLean, G., Osei-Frimpong, K., Al-Nabhani, K., & Marriott, H. (2020). Examining consumer attitudes towards retailers'm-commerce mobile applications–An initial adoption vs. continuous use perspective. Journal of Business Research, 106, 139-157. https://doi.org/10.1016/j.jbusres.2019.08.032
  • Moon, J., Choe, Y., & Song, H. (2021). Determinants of Consumers’ Online/Offline Shopping Behaviours during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(4), 1593. https://doi.org/10.3390/ijerph18041593
  • Mirkazemi, S. A., Hemmatinesgad, M. A., Gholizadeh, M. H., & Ramazanian, M. R. (2009). Application of the analytic hierarchy process for the performance evaluation criteria of sport offices in universities. Brazilian Journal of Biomotricity, 3(4), 390-398.
  • Moustakas, L., Szumilewicz, A., Mayo, X., Thienemann, E., & Grant, A. (2020). Foresight for the Fitness Sector: Results from a European Delphi Study and Its Relevance in the Time of COVID-19. International Journal of Environmental Research and Public Health, 17(23), 8941. https://doi.org/10.3390/ijerph17238941
  • Nezad, S. S. A., & Damaneh, S. J. (2014). Identify and prioritize the criteria of performance evaluation of Iranian sport federation form expert point of view sing the AHP model. Sport Management Studies, 6(23), 179-192.
  • Nisel, S., & Özdemir, M. (2016). Analytic hierarchy process & analytic network process in sport: A comprehensive literature review. International Journal of the Analytic Hierarchy Process, 8(3). https://doi.org/10.13033/ijahp.v8i3.448
  • Nyenhuis, S. M., Greiwe, J., Zeiger, J. S., Nanda, A., & Cooke, A. (2020). Exercise and fitness in the age of social distancing during the COVID-19 pandemic. The Journal of Allergy and Clinical Immunology. In practice, 8(7), 2152. https://doi.org/10.1016/j.jaip.2020.04.039 Park, M., Nepal, M. P., & Dulaimi, M. F. (2004). Dynamic modeling for construction innovation. Journal of Management in Engineering, 20(4), 170-177. https://doi.org/10.1061/(ASCE)0742-597X(2004)20:4(170)
  • Parker, K., Uddin, R., Ridgers, N. D., Brown, H., Veitch, J., Salmon, J., ... & Arundell, L. (2021). The Use of Digital Platforms for Adults’ and Adolescents’ Physical Activity During the COVID-19 Pandemic (Our Life at Home): Survey Study. Journal of Medical Internet research, 23(2), e23389. https://doi:10.2196/23389
  • Ramdhan, R. M., & Hamdani, D. (2021). Designing a Mobile Application to Manage and Reduce Common Mental Health Problems During The COVID-19 Pandemıc. IJISCS (International Journal of Information System and Computer Science), 5(1).
  • Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffusion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg.
  • Roggeveen, A. L., & Sethuraman, R. (2020). How the COVID-19 pandemic may change the world of Retailing. Journal of Retailing, 96(2), 169. https://doi.org/10.1016/j.jretai.2020.04.002
  • Rohm, A. J., Gao, T. T., Sultan, F., & Pagani, M. (2012). Brand in the hand: A cross-market investigation of consumer acceptance of mobile marketing. Business Horizons, 55(5), 485-493. https://doi.org/10.1016/j.bushor.2012.05.004
  • Roy, B., & Słowiński, R. (2013). Questions guiding the choice of a multicriteria decision aiding method. EURO Journal on Decision Processes, 1(1), 69-97. https://doi.org/10.1007/s40070-013-0004-7
  • Saaty, T.L. (1980) The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. Mcgraw-Hill, New York.
  • Saaty, T. L. (1994). How to make a decision: the analytic hierarchy process. Interfaces, 24(6), 19-43. https://doi.org/10.1287/inte.24.6.19
  • Saaty, T. L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 6). RWS publications.
  • Schiffman, L. G., & Kanuk, L. L. (2009). Consumer behavior. Harlow, England: Prentice Hall.
  • Stauffer, B. (2020). What's the Difference between Online Learning and Distance Learning? Applied Educational Systems.
  • Thompson, W. R. (2014). Worldwide survey of fitness trends for 2015: what’s driving the market. ACSM's Health and Fitness Journal, 18(6), 8-17.
  • Ueafuea, K., Boonnag, C., Sudhawiyangkul, T., Leelaarporn, P., Gulistan, A., Chen, W., & Piyayotai, S. (2020). Potential Applications of Mobile and Wearable Devices for Psychological Support During the COVID-19 Pandemic: A Review. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2020.3046259
  • Wątróbski, J., Jankowski, J., Ziemba, P., Karczmarczyk, A., & Zioło, M. (2019). Generalised framework for multi-criteria method selection. Omega, 86, 107-124. https://doi.org/10.1016/j.omega.2018.07.004
  • Yang, Y., & Koenigstorfer, J. (2020). Determinants of physical activity maintenance during the COVID-19 pandemic: a focus on fitness apps. Translational Behavioral Medicine, 10(4), 835-842. https://doi.org/10.1093/tbm/ibaa086 https://doi.org/10.1093/tbm/ibaa086
  • Zadeh, J. H. A., Mahdavi, S., Samadi, R., & Hesari, A. R. E. (2012). Analysis and Positioning of Sport Spaces using Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) Case Study (Kahnuj City). International Journal of Social and Economic Research, 2(2), 382-391. https://doi.org/10.5958/j.2249-6270.2.2.032

Multi-Criteria Evaluation of Mobile Fitness Applications During COVID-19 Pandemic Based on AHP

Year 2023, Volume: 14 Issue: 1, 43 - 62, 27.04.2023
https://doi.org/10.54141/psbd.1182006

Abstract

Fitness centres have been among the first businesses affected by the COVID- 19 pandemic. It is clear that with the pandemic, users' choices for sports services and selection criteria for them have changed. During the pandemic, there has been a transition from traditional gym classes to virtual fitness classes. People have started to rapidly adopt these technology-based alternatives worldwide, and there has been an increase in the download and use of these mobile fitness applications. However, there are many alternatives to fitness applications for users. In this study, making the most effective selection among the alternatives in mobile applications where there are conflicting user criteria and identifying customer-oriented platform development proposals in terms of service providers are aimed to contribute to the relevant literature. The study has proposed an Analytic Hierarchy Process (AHP) model, one of the Multi-criteria Decision-Making approaches, for selecting the best choice among mobile fitness application alternatives where there is more than one alternative with more than one criterion and these criteria conflict with each other. The proposed AHP solution has a modular structure that can be easily adapted in case user preferences (criteria) changes and can flexibly be updated when the alternatives change.

References

  • Agarwal, R., Ahuja, M., Carter, P. E., & Gans, M. (1998, September). Early and late adopters of IT innovations: extensions to innovation diffusion theory. In Proceedings of the DIGIT Conference (pp. 1-18).
  • Aktaş, R., Doğanay M. M., Gökmen Y., Gazibey Y. and Türen, U., (2015) Sayısal karar verme yöntemleri, Beta Yayınları, İstanbul.
  • Alfaro, J., Ortiz, A., & Poler, R. (2007). Performance measurement system for business processes. Production Planning and Control, 18(8), 641-654. https://doi.org/10.1080/09537280701599772
  • Ananthakrishnan, U. M., Chen, J., & Susarla, A. (2020). No Pain, No Gain: Examining the Digital Resilience of the Fitness Sector During the COVID-19 Pandemic. No Gain: Examining the Digital Resilience of the Fitness Sector During the COVID-19 Pandemic (November 30, 2020).
  • Angosto, S., García-Fernández, J., Valantine, I., & Grimaldi-Puyana, M. (2020). The intention to use fitness and physical activity apps: a systematic review. Sustainability, 12(16), 6641. https://doi.org/10.3390/su12166641
  • Apptopia (2023, March 7). Understanding the growth of mobile video, Retrieved from Future of Fitness (2).pdf (apptopia.com)
  • Baird, B. F. (1989). Managerial decisions under uncertainty: An introduction to the analysis of decision making (Vol. 4). John Wiley & Sons.
  • Berger, M. (2005). Upgrading the System of Innovation in Late-Industrialising Countries-The Role of Transnational Corporations in Thailand's Manufacturing Sector (Doctoral dissertation).
  • Bondaronek, P., Alkhaldi, G., Slee, A., Hamilton, F. L., & Murray, E. (2018). Quality of publicly available physical activity apps: review and content analysis. JMIR mHealth and uHealth, 6(3), e9069. https://doi.org/10.2196/mhealth.9069
  • Bounie, D., Camara, Y., & Galbraith, J. W. (2020). Consumers' Mobility, Expenditure and Online-Offline Substitution Response to COVID-19: Evidence from French Transaction Data. Available at SSRN 3588373.
  • Carlo, A. D., Ghomi, R. H., Renn, B. N., & Areán, P. A. (2019). By the numbers: ratings and utilization of behavioral health mobile applications. NPJ digital medicine, 2(1), 1-8. https://doi.org/10.1038/s41746-019-0129-6
  • Ceballos, B., Lamata, M. T., & Pelta, D. A. (2016). A comparative analysis of multi-criteria decision-making methods. Progress in Artificial Intelligence, 5(4), 315-322.
  • Cho, J., & Kim, S. (2020). Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics, 55, 101301. https://doi.org/10.1016/j.tele.2019.101301
  • Devezas, T. (2020). The struggle SARS-CoV-2 vs. homo sapiens–Why the earth stood still, and how will it keep moving on?. Technological forecasting and social change, 160, 120264. https://doi.org/10.1016/j.techfore.2020.120264
  • Ebrahimi, A., Mehdipoor, A., & Azmsha, T. (2015). Analysis locating sport gyms through geographical information system and AHP model (case study: Ahvaz city). International Journal of Sport Studies, 5(3), 333-340.
  • Galindo, N. M., Sá, G. G. D. M., Barbosa, L. U., Pereira, J. D. C. N., Henriques, A. H. B., & Barros, L. M. (2020). COVID-19 and digital technology: mobile applications available for download in smartphones. https://doi.org/10.1590/1980-265X-TCE-2020-0150
  • Güneş, S. (2010). Yenilik yayılımı: Bir araştırma. Yayınlanmamış Yüksek Lisans Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü İşletme Anabilim Dalı İşletme Yönetimi ve Organizasyon Bilim Dalı, İstanbul.
  • Greco, S. (1997). A new pcca method: Idra. European Journal of Operational Research, 98(3), 587-601. https://doi.org/10.1016/S0377-2217(96)00022-7
  • Grundy, Q. H., Wang, Z., & Bero, L. A. (2016). Challenges in assessing mobile health app quality: a systematic review of prevalent and innovative methods. American journal of preventive medicine, 51(6), 1051-1059. https://doi.org/10.1016/j.amepre.2016.07.009
  • Heidenreich, S., & Talke, K. (2020). Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption. AMS Review, 10(3), 279-298. https://doi.org/10.1007/s13162-020-00164-x
  • Hermsen, S., Moons, J., Kerkhof, P., Wiekens, C., & De Groot, M. (2017). Determinants for sustained use of an activity tracker: observational study. JMIR mHealth and uHealth, 5(10), e164. https://doi.org/10.2196/mhealth.7311
  • Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis: methods and software. John Wiley & Sons.
  • Jones H., & Nikolaeva M. (2020). Contactless Payments Can Help Cut contagion: EU Banking Watchdog Reuters March 25. https://www.reuters.com/article/us-health-coronavirus-eu-banks/contactless-payments-can-help-cut-contagion-eu-banking-watchdog-idUSKBN21C1BL, Accessed 7th Mar 2023.
  • Kavak, B., Sunaoğlu, Ş. K., & Taner, N. (2016). Yeniliği benimseyen kategorilerinin bütüncül ve analitik düşünme açısından farklılıkları akıllı telefonlar için bir inceleme. Pazarlama ve Pazarlama Araştırmaları Dergisi, 10(20), 179-200.
  • Knotek II, E. S., Schoenle, R., Dietrich, A., Kuester, K., Müller, G., Myrseth, K. O. R., & Weber, M. (2020). Consumers and COVID-19: A real-time survey. Economic Commentary, (2020-08). https://doi.org/10.26509/frbc-ec-202008
  • Lee, S. (2008). Sport sponsors' decision making in a global market: An application of Analytical Hierarchy Process (AHP). University of Minnesota.
  • Lee, S., and Walsh, P. (2011). SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport. Sport management review, 14(4), 361-369. https://doi.org/10.1016/j.smr.2010.12.003
  • Lee, S., & Ross, S. D. (2012). Sport sponsorship decision making in a global market: An approach of Analytic Hierarchy Process (AHP). Sport, Business and Management: An International Journal. https://doi.org/10.1108/20426781211243999
  • Lee, S. M., & Trimi, S. (2021). Convergence innovation in the digital age and in the COVID-19 pandemic crisis. Journal of Business Research, 123, 14-22. https://doi.org/10.1016/j.jbusres.2020.09.041
  • Li, C., & Lalani, F. (2020, April). The COVID-19 pandemic has changed education forever. This is how. In World economic forum (Vol. 29).
  • Liu, J., Liao, X., Huang, W., & Liao, X. (2019). Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision. Omega, 83, 1-13. https://doi.org/10.1016/j.omega.2018.01.008
  • Ludi, L., & Yao, L. (2015). Research on the Application of AHP in the Selection of the Leading Sport Industry in Shanxi Province. Bulletin of Sport Science and Technology, 02.
  • Marjani, M. E., Mojahed, M., & Marjani, S. (2013). Usage of group AHP approach in sport shoes selection. In Proceedings of the 12 th International Symposium on the Analytic Hierarchy Process/Analytic Network Process (ISAHP) (pp. 23-26).
  • McLean, G., Osei-Frimpong, K., Al-Nabhani, K., & Marriott, H. (2020). Examining consumer attitudes towards retailers'm-commerce mobile applications–An initial adoption vs. continuous use perspective. Journal of Business Research, 106, 139-157. https://doi.org/10.1016/j.jbusres.2019.08.032
  • Moon, J., Choe, Y., & Song, H. (2021). Determinants of Consumers’ Online/Offline Shopping Behaviours during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(4), 1593. https://doi.org/10.3390/ijerph18041593
  • Mirkazemi, S. A., Hemmatinesgad, M. A., Gholizadeh, M. H., & Ramazanian, M. R. (2009). Application of the analytic hierarchy process for the performance evaluation criteria of sport offices in universities. Brazilian Journal of Biomotricity, 3(4), 390-398.
  • Moustakas, L., Szumilewicz, A., Mayo, X., Thienemann, E., & Grant, A. (2020). Foresight for the Fitness Sector: Results from a European Delphi Study and Its Relevance in the Time of COVID-19. International Journal of Environmental Research and Public Health, 17(23), 8941. https://doi.org/10.3390/ijerph17238941
  • Nezad, S. S. A., & Damaneh, S. J. (2014). Identify and prioritize the criteria of performance evaluation of Iranian sport federation form expert point of view sing the AHP model. Sport Management Studies, 6(23), 179-192.
  • Nisel, S., & Özdemir, M. (2016). Analytic hierarchy process & analytic network process in sport: A comprehensive literature review. International Journal of the Analytic Hierarchy Process, 8(3). https://doi.org/10.13033/ijahp.v8i3.448
  • Nyenhuis, S. M., Greiwe, J., Zeiger, J. S., Nanda, A., & Cooke, A. (2020). Exercise and fitness in the age of social distancing during the COVID-19 pandemic. The Journal of Allergy and Clinical Immunology. In practice, 8(7), 2152. https://doi.org/10.1016/j.jaip.2020.04.039 Park, M., Nepal, M. P., & Dulaimi, M. F. (2004). Dynamic modeling for construction innovation. Journal of Management in Engineering, 20(4), 170-177. https://doi.org/10.1061/(ASCE)0742-597X(2004)20:4(170)
  • Parker, K., Uddin, R., Ridgers, N. D., Brown, H., Veitch, J., Salmon, J., ... & Arundell, L. (2021). The Use of Digital Platforms for Adults’ and Adolescents’ Physical Activity During the COVID-19 Pandemic (Our Life at Home): Survey Study. Journal of Medical Internet research, 23(2), e23389. https://doi:10.2196/23389
  • Ramdhan, R. M., & Hamdani, D. (2021). Designing a Mobile Application to Manage and Reduce Common Mental Health Problems During The COVID-19 Pandemıc. IJISCS (International Journal of Information System and Computer Science), 5(1).
  • Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffusion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg.
  • Roggeveen, A. L., & Sethuraman, R. (2020). How the COVID-19 pandemic may change the world of Retailing. Journal of Retailing, 96(2), 169. https://doi.org/10.1016/j.jretai.2020.04.002
  • Rohm, A. J., Gao, T. T., Sultan, F., & Pagani, M. (2012). Brand in the hand: A cross-market investigation of consumer acceptance of mobile marketing. Business Horizons, 55(5), 485-493. https://doi.org/10.1016/j.bushor.2012.05.004
  • Roy, B., & Słowiński, R. (2013). Questions guiding the choice of a multicriteria decision aiding method. EURO Journal on Decision Processes, 1(1), 69-97. https://doi.org/10.1007/s40070-013-0004-7
  • Saaty, T.L. (1980) The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. Mcgraw-Hill, New York.
  • Saaty, T. L. (1994). How to make a decision: the analytic hierarchy process. Interfaces, 24(6), 19-43. https://doi.org/10.1287/inte.24.6.19
  • Saaty, T. L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 6). RWS publications.
  • Schiffman, L. G., & Kanuk, L. L. (2009). Consumer behavior. Harlow, England: Prentice Hall.
  • Stauffer, B. (2020). What's the Difference between Online Learning and Distance Learning? Applied Educational Systems.
  • Thompson, W. R. (2014). Worldwide survey of fitness trends for 2015: what’s driving the market. ACSM's Health and Fitness Journal, 18(6), 8-17.
  • Ueafuea, K., Boonnag, C., Sudhawiyangkul, T., Leelaarporn, P., Gulistan, A., Chen, W., & Piyayotai, S. (2020). Potential Applications of Mobile and Wearable Devices for Psychological Support During the COVID-19 Pandemic: A Review. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2020.3046259
  • Wątróbski, J., Jankowski, J., Ziemba, P., Karczmarczyk, A., & Zioło, M. (2019). Generalised framework for multi-criteria method selection. Omega, 86, 107-124. https://doi.org/10.1016/j.omega.2018.07.004
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There are 56 citations in total.

Details

Primary Language English
Subjects Sports Medicine
Journal Section Physical Activity, Health & Exercise
Authors

Cihan Ercan 0000-0003-1831-7578

Publication Date April 27, 2023
Published in Issue Year 2023 Volume: 14 Issue: 1

Cite

APA Ercan, C. (2023). Multi-Criteria Evaluation of Mobile Fitness Applications During COVID-19 Pandemic Based on AHP. Pamukkale Journal of Sport Sciences, 14(1), 43-62. https://doi.org/10.54141/psbd.1182006