Öz
Amaç
Bu çalışmada sağlık sigorta şirketlerinin çalışma modellerini etkileyen kriterlerin önem derecelerinin belirlenmesi ve en uygun çalışma modelinin seçimi için bir karar destek yaklaşımı oluşturulması amaçlanmıştır.
Yöntemler
Çalışma modelleri ve etkileyen kriterler alan yazın taraması ile tespit edilerek; ağırlıkları ve sıralamaları sağlık yönetimi, iş sağlığı ve güvenliği, yönetim ve strateji, bankacılık ve sigortacılık ve işletme alanlarından 5 uzman tarafından değerlendirilmiştir. Kriterlerin önem derecelerinin tespiti için analitik hiyerarşi süreci (AHS) yöntemi; çalışma modellerinin sıralamaları için ise karmaşık orantılı değerlendirme (COPRAS) yöntemi kullanılmıştır.
Bulgular
AHS sonuçlarına göre; sağlık sigorta şirketlerinin çalışma modellerini etkileyen en önemli kriterlerin ağırlıkları %23,04 maliyet etkinliği, %20,38 müşteri memnuniyeti ve %18,84 çalışan verimliliği olarak bulunmuştur. COPRAS sonuçlarına göre ise sağlık sigorta şirketleri için en uygun çalışma modelleri ağırlıkları %18,02 hibrit çalışma, %15,76 esnek çalışma ve %14,58 yarı zamanlı-proje bazlı çalışma olarak belirlenmiştir.
Sonuç
Sonuç olarak, bu modellerin yaygınlaştırılması için uzaktan çalışmayı destekleyen güçlü bir teknolojik altyapı, bulut tabanlı sistemler, sanal özel ağ çözümleri, video konferans araçları ve proje yönetimi yazılımları gibi araçların kullanımı sürece entegre edilmelidir. Çalışma saatlerinden ziyade iş çıktısına odaklanan bir değerlendirme sistemi kurulmalıdır. Esnek ve proje bazlı çalışanlar için veri güvenliği politikaları net bir şekilde tanımlanarak yetkilendirilmiş erişim modeli benimsenmelidir. Ekiplerin etkin yönetimi için çevrimiçi proje yönetim platformları kullanılmalı ve proje bazlı hakediş ödeme sistemleri devreye alınmalıdır. Bu doğrultuda, sağlık sigorta şirketlerinin öncelikle iş süreçlerini analiz ederek hangi modelin hangi departman veya görev için daha uygun olduğunu belirlemeleri gerekir. Şirketlerin, bu modelleri stratejik bir yaklaşımla harmanlayarak hem çalışan memnuniyetlerini artırması hem de operasyonel verimliliklerini sağlayabilmesi mümkündür.
Anahtar Kelimeler: Sağlık yönetimi, sağlık tesisleri, sağlık sigorta şirketleri, çalışma modeli, karar verme teknikleri
Kaynakça
Mamun AA, Rahman MK, Munikrishnan UT, Permarupan PY. Predicting the intention and purchase of health insurance among Malaysian working adults. Sage Open. 2021;1-18.
Dave HS, Patwa JR, Pandit NB. Facilitators and barriers to participation of the private sector health facilities in health insurance & government-led schemes in India. Clin Epidemiol Glob Health. 2021;10:100699.
Burnes B. Managing change. 7 th ed. Harlow: Pearson Education Limited; 2017.
Armenakis AA, Harris SG. Reflections: our journey in organizational change research and practice. J Change Manag. 2009;9:127-42.
Porter ME, Heppelmann JE. How smart, connected products are transforming competition. Harv Bus Rev. 2014;92:64-88.
Bharadwaj A, El Sawy OA, Pavlou PA, Venkatraman N. Digital business strategy: toward a next generation of insights. MIS Q. 2013;37:471-82.
Vial G. Understanding digital transformation: a review and a research agenda. J Strateg Inf Syst. 2019;28:118-44.
Hess T, Matt C, Benlian A, Wiesböck F. Options for formulating a digital transformation strategy. MIS Q Exec. 2016;15:123-39.
Sukartini T, Arifin H, Kurniawati Y, Pradipta RO, Nursalam N, Acob JRU. Factors associated with national health insurance coverage in Indonesia. F1000Res. 2021;10:563.
McClurkin MA, Yingling LR, Ayers C, Cooper-McCann R, Suresh V, Nothwehr A, et al. Health insurance status as a barrier to ideal cardiovascular health for U.S. adults: data from the national health and nutrition examination survey (NHANES). PLoS One. 2015;10:e0141534.
Mourmouris J, Poufinas T. Multi-criteria decision-making methods applied in health-insurance underwriting. Health Syst (Basingstoke). 2022;12:52-84.
Wohlers C, Hertel G. Choosing where to work at work - towards a theoretical model of benefits and risks of activity-based flexible offices. Ergonomics. 2017;60:467-86.
Babapour Chafi M, Hultberg A, Bozic Yams N. Post-pandemic office work: perceived challenges and opportunities for a sustainable work environment. Sustainability. 2021;14:294.
Eddleston K, Mulki JP. Toward understanding remote workers’ management of work–family boundaries: the complexity of workplace embeddedness. Group Organ Manag. 2015;42:346-87.
Bjärntoft S, Hallman DM, Mathiassen SE, Larsson J, Jahncke H. Occupational and individual determinants of work-life balance among office workers with flexible work arrangements. Int J Environ Res Public Health. 2020;17:1418.
Carvalho VS, Estreder Y, Chambel MJ. Navigating boundaries: daily dynamics of work-personal life relationship among digital nomads. Preprint 2024.
Prester J, Ćećez-Kecmanović D, Schlagwein D. Toward a theory of identity performance in unsettled digital work: the becoming of ‘digital nomads’. J Inf Technol. 2023;38:442-58.
İli B, Büyükbaykal GN. A bibliometric analysis of digital nomad researches. Nevşehir Hacı Bektaş Veli Univ SBE Derg. 2022;12:306-19.
Edwards S. ‘If you can work from anywhere, why work anywhere else?’: flexible citizenship, regimes of mobility, and the discourse of digital nomadism. AoIR Sel Pap Internet Res. 2021.
Fujishiro K, Hibert EL, Schernhammer E, Rich-Edwards JW. Shift work, job strain and changes in the body mass index among women: a prospective study. Occup Environ Med. 2017;74:410-6.
Sekhar C, Patwardhan M. Flexible working arrangement and job performance: the mediating role of supervisor support. Int J Product Perform Manag. 2023;72:1221-38.
Kelliher C, De Menezes LM. Flexible working in organisations: a research overview. Routledge; 2019.
Yıldırım Ö, Tengilimoğlu D. The effect of flexible working arrangement applies during the pandemic period on employees job satisfaction and motivation: a field research. Fırat Üniv Sos Bilim Derg. 2022;32:625-33.
Kurniasari MI, Isbah MF, Azca MN. The emerging workcation trend in Indonesia: a preliminary study on the demographic profiles, motivations, and experiences of workcationers. J Ilmu Sosial. 2022;21:75-97.
Ahmad MJ, Farhan M, Fareed M. Service continuance intention in the health insurance setting: a PLS-SEM approach. Pak J Humanit Soc Sci Res. 2019;2:82-108.
Ramadhan AG, Soegoto DS. The factor influencing customer satisfaction in health insurance companies. Atlantic Press. 2020;112:117-21.
Fattah FAMA, Dahleez KA, Darwazeh RN, Alawi AMMA. Influence of service quality on consumer loyalty: a mediation analysis of health insurance. TQM J. 2021;33:1787-1805.
Kaigorodova G, Mustafina A, Alyakina D. Directions of improving information system of insurance company. J Phys Conf Ser. 2018;1015:042016.
Agyei J, Sun S, Penney EK, Abrokwah E, Ofori-Boafo R. Linking CSR and customer engagement: the role of customer-brand identification and customer satisfaction. SAGE Open. 2021;11.
Do TD, Mai TH. A study for Hanoi on how perceived value and service quality affect customer satisfaction in healthcare insurance. J Econ Finance Manag Stud. 2023;6:5262-6.
Gautam B. Claim settlement excellence: keys to customer satisfaction in health insurance. SSRN Electron J. 2024;2:247-52.
Lekkala LR. Cloud technologies and its impact on the US health insurance claims process. Voice of the Publisher. 2023;9:323-33.
Mavundla K, Thakur S. Analysing health insurance customer dataset to determine cross-selling potential. Int Conf Artif Intell Appl. 2023:219-26.
Anand P. Health insurance costs and employee compensation: evidence from the national compensation survey. Health Econ. 2017;26:1601-16.
Andranurviza AY, Mulyati H, Munnadar JM. The impact of digital application usage on customer experience, satisfaction, and loyalty in a life insurance company. Bus Rev Case Stud. 2022;3:1-12.
Yang CC. Health care reform, efficiency of health insurers, and optimal health insurance markets. North Am Actuar J. 2014;18:478-500.
Awofeso N. Improving efficiency and reducing fraud in UAE’s health insurance market. J Finance Mark. 2017;1:7-16.
Banerjee R, Cohen‐Cole E. Competition and the cost of health care. Appl Econ. 2012;44:1201-7.
Geng J, Chen X, Shi J, Bao H, Chen Q, Yu H. Assessment of the satisfaction with public health insurance programs by patients with chronic diseases in China: a structural equation modeling approach. BMC Public Health. 2021;21:1886.
Cole CR, Yang CC, Lin H. The (mis)alignment of health insurers’ efficiency measures from different perspectives and their (un)linkage with financial ratios and asset allocation. J Insur Regul. 2017.
Saaty TL. Decision making with the analytic hierarchy process. Int J Serv Sci. 2008;1:83-98.
Mardani A, Jusoh A, Nor KMD, Khalifah Z, Zakwan N, Valipour A. Multiple criteria decision-making techniques and their applications – A review of the literature from 2000 to 2014. Econ Res-Ekon Istraživanja. 2015;28:516-71.
Zavadskas EK, Turskis Z, Kildienė S. State of art surveys of overviews on MCDM/MADM methods. Technol Econ Dev Econ. 2016;22:165-200.
Chatterjee P, Athawale VM, Chakraborty S. Materials selection using complex proportional assessment and graph theory. Mater Des. 2011;32:851-60.
Esen H. Analytical hierarchy process problem solution. in: analytic hierarchy process: models, methods, concepts, and applications. IntechOpen; 2023.
Zhang X, Liao H. Intuitionistic fuzzy analytic hierarchy process. IEEE Trans Fuzzy Syst. 2014;22:749-61.
Taherdoost H, Mohebi A. A Comprehensive guide to the COPRAS method for multi-criteria decision making. J Manag Sci Eng Res. 2024;7:1-14.
Kaklauskas A, Zavadskas EK, Binkyte-Veliene A, Kuzminske A, Cerkauskas J, Cerkauskiene A, et al. Multiple criteria evaluation of the EU country sustainable construction industry lifecycles. Appl Sci. 2020;10:3733.
Sarıçalı G, Kundakçı N. Evaluation of hotel alternatives with AHP and COPRAS methods. Int Rev Econ Manag. 2016;4:45-66.
Khatatbeh IN, Alshurafat H, Shbail MOA, Jamaani F. Factors affecting employees use and acceptance of remote working during the COVID-19 pandemic: evidence from the Jordanian insurance sector. Sage Open. 2023;13:1-15.
Siddika BA. Hybrid working, well-being and gender: a study on a public sector organization during the COVID-19 pandemic. Asian J Soc Sci Stud. 2023;8:25.
Buick F, Williamson S, Weeratunga V, Taylor H. Adopting a purposeful approach to hybrid working integrating notions of place, space and time. Policy Q. 2024;20:40-9.
Kajwang B. An analysis of crucial skills required in the modern workplace by insurance sector employers. Eur J Technol. 2021;5:35-41.
Menezes LMD, Kelliher C. Flexible working, individual performance, and employee attitudes: comparing formal and informal arrangements. Hum Resour Manage. 2016;56:1051-70.
Timms C, Brough P, Chan XW. Employees’ psychological health and the impact of flexible working arrangements. In: Flexible Work. New York: Routledge; 2020:35-47.
Ghali-Zinoubi Z, Amari A, Jaoua F. E-learning in era of COVID-19 pandemic: impact of flexible working arrangements on work pressure, work-life conflict and academics’ satisfaction. Vision. 2021;28:621-32.
Zeng Y, Lu Y, Skibniewski MJ. Enterprise resource planning systems for project-based firms: benefits, costs & implementation challenges. J Adv Perform Inf Value. 2012;4:85.
Aziz R, Parwoto P, Iqbal M. The influence of flexible working arrangements on turnover intention and productivity through job satisfaction on the millennial generation of private companies in Jakarta in 2022. Int J Soc Serv Res. 2022;2:863-80.
Suryanto T, Dimasqy D, Ronaldo R, Ekananda M, Dinata TH, Tumbelaka I. The influence of liberalization on innovation, performance, and competition level of insurance industry in Indonesia. Sustainability. 2020;12:10620.
Kimani IW, Kungu P. Differentiation strategy and the performance of medical insurance companies in Kenya. Int J Bus Manag Entrep Innov. 2024;6:69-90.


