How to cite this paper
Sukono, S., Susanti, D., Ridwan, F., Riaman, R., Hertini, E & Saputra, J. (2023). Analyzing the community decision making to purchase pet insurance: Case study of animal lovers in Indonesia.Decision Science Letters , 12(1), 29-40.
Refrences
Anjum, A. (2019). Information and communication technology adoption and its influencing factors: a study of Indian SMEs. Humanities & Social Sciences Reviews, 7(5), 1238-1253.
Azhar, A., Rahman, M.M. & Arif, M.T. (2018). Willingness to pay for health insurance in sarawak, malaysia: a contingent valuation method. Bangladesh Journal of Medical Science, 17(2), 230-237. https://www.banglajol.info/index.php/ BJMS/article/view/35876.
Bon, A.T., Ismail, M.I.A.B., Sukono, & Effendie, A.R. (2018). Collective Value-at-Risk (ColVaR) In Life Insurance Collection. International Journal of Engineering & Technology, 7(3.7), 25-28.
Cahyandari, R., Mayaningsih, D., and Sukono. (2017). A design of mathematical modelling for the mudharabah scheme in shariah insurance. IOP Conference Series: Materials Science and Engineering, 166, pp. 012015. doi:10.1088/1757-899X/166/1/012015
Carlson, D., Haeder, S., Jenkins-Smith, H., Ripberger, J., Silva, C., & Weimer, D. (2019). Monetizing Bowser: A Contingent Valuation of the Statistical Value of Dog Life. Journal of Benefit-Cost Analysis, 11(1), 131-149. DOI: https://doi.org/10.1017/bca.2019.33
Carlson, D., Haeder, S., Jenkins-Smith, H., Ripberger, J., Silva, C., & Weimer, D. (2020). Monetizing Bowser: A Contingent Valuation of the Statistical Value of Dog Life–Corrigendum. Journal of Benefit-Cost Analysis, 11(1), 150-150. • DOI: https://doi.org/10.1017/bca.2019.41
Castillo-Huitrón, N.M., Eduardo J. Naranjo, E.J., Santos-Fita, D., & Estrada-Lugo, E. (2020). The importance of human emotions for wildlife conservation. Frontiers in Psychology, 11, 1277, pp. 1-11. doi: 10.3389/fpsyg.2020.01277
Churchill, J., & Ward, E. (2016). Communicating with Pet Owners about Obesity: Roles of the Veterinary Health Care Team. Veterinary Clinics of North America: Small Animal Practice, 46(5), 899-911. doi: 10.1016 / j.cvsm.2016.04.010
Curran, J. (2018). Growth in the number of insured pets will boost industry demand. IBISWorld Industry Report OD4612, Pet Insurance in the US. https://seekingalpha.com/attachments/download/19856
Elsantil, Y. & Hamza, E.A. (2019). The impact of self-conscious emotions on willingness to pay for sustainable products. Humanities & Social Sciences Reviews, 7(2), 77-90. https://doi.org/10.18510/hssr.2019.729
Eslamian, Z., Ghorbani, M., Mesbahzade, T. & Rafie, H. (2016). Estimating participation and willingness to pay of local communities for preservation and reclamation of desert areas(Case Study: Abuzeidabad district of Aran Va Bidgol county). Desert, 21-2, pp. 205-212. doi: 10.22059/jdesert.2016.60349
Flegr J. & Preiss M. (2019). Friends with malefit. The effects of keeping dogs and cats, sustaining animal-related injuries and Toxoplasma infection on health and quality of life. PLoS ONE, 14(11), e0221988. https://doi.org/10.1371/journal.pone.0221988
Golubyatnikova, J.J., Zakshevskii, V.G., Victor M. Zakharov, V.M., Vladyka, M.V., & Gerashenko, V.M. (2019). Insurance as an effective mechanism to minimize risks at the enterprise. Humanities & Social Sciences Reviews, 7(5), 2019, pp 1021-1026. https://doi.org/10.18510/hssr.2019.75135
Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Pedreschi, D., & Giannotti, F. (2018). A survey of methods for explaining black box models. Working Paper, University of Pisa. https://arxiv.org/pdf/1802.01933
Gupta, S. & Kumar, S. (2019). The determinants of reverse mortgage choice of Indian elderly homeowners for sustainable livelihood: a logit analysis. Humanities & Social Sciences Reviews, 7(4), 309-317. DOI: 10.18510/hssr.2019.7440
Jofre-Bonet, M. & Kamara, J. (2018). Willingness to pay for health insurance in the informal sector of Sierra Leone. PLoS ONE, 13(5), e0189915, pp. 1-18. https://doi.org/10.1371/journal.pone.0189915
Khan, M. A., Chander, M., & Bardhan, D. (2013). Willingness to pay for cattle and buffalo insurance: an analysis of dairy farmers in central India. Tropical animal health and production, 45(2), 461-468. DOI: 10.1007/s11250-012-0240-z
Kim, J. S. (2018). Measuring willingness-to-pay for mobile phone features: a multiregion study. Journal of Research in Marketing and Entrepreneurship, 20(2), 189-213. https://doi.org/10.1108/JRME-02-2016-0003
Koster, J. & McElreath, R. (2017). Multinomial analysis of behavior: statistical methods. Behav Ecol Sociobiol, 71, 138, pp. 1-14. DOI 10.1007/s00265-017-2363-8
Limaei, M., G. Safari, G., & Merceh, G.M. (2016). Recreational values of forest park using the contingent valuation method (case study: Saravan Forest Park, north of Iran). Journal of Forest Science, 62(10), 452–462. doi: 10.17221/4/2016-JFS
Liu, R., Liu, X., Pan, B., Zhu, H., Yuan, Z. & Lu, Y. (2018). Willingness to Pay for Improved Air Quality and Influencing Factors among ManufacturingWorkers in Nanchang, China. Sustainability MDPI, 10, 1613, pp. 1-11. https://doi.org/10.3390/su10051613
Makwinja, R., Kosamu, I.B.M. & Kaonga, C.C. (2019). Determinants and values of willingness to pay for water quality improvement: insights from Chia Lagoon, Malawi. Sustainability MDPI,11, 4690, pp. 1-26. https://www.mdpi.com/2071-1050/11/17/4690/pdf.
Martens, P., Hansart, C., and Su, B. (2019). Attitudes of young adults toward animals—the case of high school students in Belgium and the Netherlands. Animals, 9, 88; pp. 1-12. doi:10.3390/ani9030088
Mbabazi, E.G. (2016). Cost effectiveness of and willingness to pay for vaccination of village free-range poultry against Newcastle disease in Iganga District. Thesis of Master of Science, In Agricultural and Applied Economics of Makerere University, pp. 1-106. http://ageconsearch.umn.edu/record/265577/files/Esther%20Gloria%20Mbabazi_Thesis.pdf
Meuwissen, M.P.M, de-Mey, Y. & van-Asseldonk, M. (2018) Prospects for agricultural insurance in Europe, Agricultural Finance Review, Vol. 78 Issue: 2, pp. 174-182, https://doi.org/10.1108/AFR-04-2018-093
Mutaqin, D.J. & Usami, K. (2019). Smallholder farmers’ willingness to pay for agricultural production cost insurance in rural West Java, Indonesia: a contingent valuation method (CVM) approach. Risk MDPI, 7(69), 1-18. doi:10.3390/risks7020069
Ntukamazina, N., Onwonga, R.N., Sommer, R., Rubyogo, J.C., Mukankusi, C.M., Mburu, J. & Kariuki, R. (2017). Index-based agricultural insurance products: challenges, opportunities and prospects for uptake in sub-Sahara Africa. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 118(2), 171–185. http://creativecommons.org/licenses/by/4.0
Oduniyi, O.S., Antwi, M.A. & Tekana, S.S. (2020). Farmers’ willingness to pay for index-based livestock insurance in the North West of South Africa. Climate MDPI, 8(47), 1-14. https://doi.org/10.3390/cli8030047
Owen, O. (2019) : Financial protection against medical expense, tinbergen institute discussion, Working Paper, No. TI 2019-010/V, Tinbergen Institute, Amsterdam and Rotterdam, pp. 1-48. https://papers.tinbergen.nl/19010.pdf
Pauliuc, D., Fu, Y., & Wikner, S. (2018). A study on the attachment in between owner and pet and its influence on the consumption of pet food. Master Thesis, International Business Scholl, Jonkoping University. https://core.ac.uk/download/pdf/217052628.pdf
Poret, S. (2019). Corporate–NGO partnerships through sustainability labeling schemes: motives and risks. Sustainability MDPI, 11, 2689, pp. 1-19. doi:10.3390/su11092689
Prabowo, A., Mamat, M., and Sukono. (2019.a). Model of Rice Farm Insurance to Reduce Losses Due to Harvest Failure. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 231- 236. https://www.ijrte.org/wp-content/uploads/papers/v8i2S7/B10590782S719.pdf
Prabowo, A., Mamat, M., Sukono, and Taufiq, A.A. (2019.b). Pricing of Premium for Automobile Insurance using Bayesian Method. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 6226-6229. https://www.semanticscholar.org/paper/Pricing-of-Premium-for-Automobile-Insurance-using-Prabowo-Mamat/bcf707bc0003fec4a869c3ab37d4c15ec0724632
Prokop, P. & Fancovicová, J. (2016). The effect of hands-on activities on children’s knowledge and disgust for animals. Journal of Biology Education, 51, 305–314. doi:10.1080/00219266.2016.1217910
Purwandari, T., Hidayat, Y., Sukono, Subiyanto and Bon, A.T. (2019). Regional Lagging Analysis in Indonesia Using Binary Logistic Regression. Proceedings of the International Conference on Industrial Engineering and Operations Management 1, 2179-2185. http://www.ieomsociety.org/ieom2019/papers/499.pdf
Rahmani, U., Sukono, Riaman, Subiyanto, Bon, A.T. (2019). Analysis of Credit Scoring Using Particle Swarm Optimization Algorithm under Logistic Regression Model. Proceedings of the International Conference on Industrial Engineering and Operations Management, 1, 1201- 1210. http://ieomsociety.org/pilsen2019/papers/340.pdf
Riaman, Sukono, Susanti, D., Marbun, E., & Bon. A.T.B. (2018). Net Premium Estimation by Using Forward Selection Linear Model for Motor Vehicle Insurance. Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM), 1, 2711-2717. http://ieomsociety.org/ieom2018/papers/645.pdf
Sanmukhiya, C. (2019). A study of effect of demographic factors on e-Government Divide in the Republic of Mauritius. Humanities & Social Sciences Reviews, 7(6), 436-446.
Saputra, A., Gusriani, N., Riaman, Sukono, Yudha, D.F. and Bon, A.T. (2019). Unit Link Single Life Premium Calculation for Unit Link Lifetime Insurance Using the Ratchet Compound Method. Proceedings of the International Conference on Industrial Engineering and Operations Management, 1, 1589- 1597. http://ieomsociety.org/pilsen2019/papers/467.pdf
Saputra, A., Sukono, and Rusyaman, E. (2018). Risk Adjustment Model of Credit life Insurance Using a Genetic Algorithm. IOP Conf. Series: Materials Science and Engineering, 332, p. 012007. doi: 10.1088 / 1757-899X / 332/1/012007
Sidi, P., Mamat, M., Sukono, and Supian, S. (2017.a). Evaluation Model for Risk Insurance Premiums of Building Damage Caused by Flood: Case Study in Citarum Watershed, Southern Bandung, Indonesia. Journal of Engineering and Applied Sciences, 12(17), 4420-4425. DOI: 10.3923/jeasci.2017.4420.4425
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Sidi, P., Santoso, A., Mamat, M., Sukono, Subiyanto and Bon, A.T. (2019). Measuring the Level of Ability to Pay Flood Insurance Premiums and the Factors that Influence it by Using the Contingent Valuation Method. Proceedings of the International Conference on Industrial Engineering and Operations Management, 1, 372-381. http://www.ieomsociety.org/gcc2019/papers/204.pdf
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Zhang, C. M. & Qian, Z. W. (2018). Minority community willingness to pay for earthquake insurance. Disaster Prevention and Management: An International Journal, 27(5), 556-572. DOI:10.1108/DPM-04-2018-0129
Azhar, A., Rahman, M.M. & Arif, M.T. (2018). Willingness to pay for health insurance in sarawak, malaysia: a contingent valuation method. Bangladesh Journal of Medical Science, 17(2), 230-237. https://www.banglajol.info/index.php/ BJMS/article/view/35876.
Bon, A.T., Ismail, M.I.A.B., Sukono, & Effendie, A.R. (2018). Collective Value-at-Risk (ColVaR) In Life Insurance Collection. International Journal of Engineering & Technology, 7(3.7), 25-28.
Cahyandari, R., Mayaningsih, D., and Sukono. (2017). A design of mathematical modelling for the mudharabah scheme in shariah insurance. IOP Conference Series: Materials Science and Engineering, 166, pp. 012015. doi:10.1088/1757-899X/166/1/012015
Carlson, D., Haeder, S., Jenkins-Smith, H., Ripberger, J., Silva, C., & Weimer, D. (2019). Monetizing Bowser: A Contingent Valuation of the Statistical Value of Dog Life. Journal of Benefit-Cost Analysis, 11(1), 131-149. DOI: https://doi.org/10.1017/bca.2019.33
Carlson, D., Haeder, S., Jenkins-Smith, H., Ripberger, J., Silva, C., & Weimer, D. (2020). Monetizing Bowser: A Contingent Valuation of the Statistical Value of Dog Life–Corrigendum. Journal of Benefit-Cost Analysis, 11(1), 150-150. • DOI: https://doi.org/10.1017/bca.2019.41
Castillo-Huitrón, N.M., Eduardo J. Naranjo, E.J., Santos-Fita, D., & Estrada-Lugo, E. (2020). The importance of human emotions for wildlife conservation. Frontiers in Psychology, 11, 1277, pp. 1-11. doi: 10.3389/fpsyg.2020.01277
Churchill, J., & Ward, E. (2016). Communicating with Pet Owners about Obesity: Roles of the Veterinary Health Care Team. Veterinary Clinics of North America: Small Animal Practice, 46(5), 899-911. doi: 10.1016 / j.cvsm.2016.04.010
Curran, J. (2018). Growth in the number of insured pets will boost industry demand. IBISWorld Industry Report OD4612, Pet Insurance in the US. https://seekingalpha.com/attachments/download/19856
Elsantil, Y. & Hamza, E.A. (2019). The impact of self-conscious emotions on willingness to pay for sustainable products. Humanities & Social Sciences Reviews, 7(2), 77-90. https://doi.org/10.18510/hssr.2019.729
Eslamian, Z., Ghorbani, M., Mesbahzade, T. & Rafie, H. (2016). Estimating participation and willingness to pay of local communities for preservation and reclamation of desert areas(Case Study: Abuzeidabad district of Aran Va Bidgol county). Desert, 21-2, pp. 205-212. doi: 10.22059/jdesert.2016.60349
Flegr J. & Preiss M. (2019). Friends with malefit. The effects of keeping dogs and cats, sustaining animal-related injuries and Toxoplasma infection on health and quality of life. PLoS ONE, 14(11), e0221988. https://doi.org/10.1371/journal.pone.0221988
Golubyatnikova, J.J., Zakshevskii, V.G., Victor M. Zakharov, V.M., Vladyka, M.V., & Gerashenko, V.M. (2019). Insurance as an effective mechanism to minimize risks at the enterprise. Humanities & Social Sciences Reviews, 7(5), 2019, pp 1021-1026. https://doi.org/10.18510/hssr.2019.75135
Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Pedreschi, D., & Giannotti, F. (2018). A survey of methods for explaining black box models. Working Paper, University of Pisa. https://arxiv.org/pdf/1802.01933
Gupta, S. & Kumar, S. (2019). The determinants of reverse mortgage choice of Indian elderly homeowners for sustainable livelihood: a logit analysis. Humanities & Social Sciences Reviews, 7(4), 309-317. DOI: 10.18510/hssr.2019.7440
Jofre-Bonet, M. & Kamara, J. (2018). Willingness to pay for health insurance in the informal sector of Sierra Leone. PLoS ONE, 13(5), e0189915, pp. 1-18. https://doi.org/10.1371/journal.pone.0189915
Khan, M. A., Chander, M., & Bardhan, D. (2013). Willingness to pay for cattle and buffalo insurance: an analysis of dairy farmers in central India. Tropical animal health and production, 45(2), 461-468. DOI: 10.1007/s11250-012-0240-z
Kim, J. S. (2018). Measuring willingness-to-pay for mobile phone features: a multiregion study. Journal of Research in Marketing and Entrepreneurship, 20(2), 189-213. https://doi.org/10.1108/JRME-02-2016-0003
Koster, J. & McElreath, R. (2017). Multinomial analysis of behavior: statistical methods. Behav Ecol Sociobiol, 71, 138, pp. 1-14. DOI 10.1007/s00265-017-2363-8
Limaei, M., G. Safari, G., & Merceh, G.M. (2016). Recreational values of forest park using the contingent valuation method (case study: Saravan Forest Park, north of Iran). Journal of Forest Science, 62(10), 452–462. doi: 10.17221/4/2016-JFS
Liu, R., Liu, X., Pan, B., Zhu, H., Yuan, Z. & Lu, Y. (2018). Willingness to Pay for Improved Air Quality and Influencing Factors among ManufacturingWorkers in Nanchang, China. Sustainability MDPI, 10, 1613, pp. 1-11. https://doi.org/10.3390/su10051613
Makwinja, R., Kosamu, I.B.M. & Kaonga, C.C. (2019). Determinants and values of willingness to pay for water quality improvement: insights from Chia Lagoon, Malawi. Sustainability MDPI,11, 4690, pp. 1-26. https://www.mdpi.com/2071-1050/11/17/4690/pdf.
Martens, P., Hansart, C., and Su, B. (2019). Attitudes of young adults toward animals—the case of high school students in Belgium and the Netherlands. Animals, 9, 88; pp. 1-12. doi:10.3390/ani9030088
Mbabazi, E.G. (2016). Cost effectiveness of and willingness to pay for vaccination of village free-range poultry against Newcastle disease in Iganga District. Thesis of Master of Science, In Agricultural and Applied Economics of Makerere University, pp. 1-106. http://ageconsearch.umn.edu/record/265577/files/Esther%20Gloria%20Mbabazi_Thesis.pdf
Meuwissen, M.P.M, de-Mey, Y. & van-Asseldonk, M. (2018) Prospects for agricultural insurance in Europe, Agricultural Finance Review, Vol. 78 Issue: 2, pp. 174-182, https://doi.org/10.1108/AFR-04-2018-093
Mutaqin, D.J. & Usami, K. (2019). Smallholder farmers’ willingness to pay for agricultural production cost insurance in rural West Java, Indonesia: a contingent valuation method (CVM) approach. Risk MDPI, 7(69), 1-18. doi:10.3390/risks7020069
Ntukamazina, N., Onwonga, R.N., Sommer, R., Rubyogo, J.C., Mukankusi, C.M., Mburu, J. & Kariuki, R. (2017). Index-based agricultural insurance products: challenges, opportunities and prospects for uptake in sub-Sahara Africa. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 118(2), 171–185. http://creativecommons.org/licenses/by/4.0
Oduniyi, O.S., Antwi, M.A. & Tekana, S.S. (2020). Farmers’ willingness to pay for index-based livestock insurance in the North West of South Africa. Climate MDPI, 8(47), 1-14. https://doi.org/10.3390/cli8030047
Owen, O. (2019) : Financial protection against medical expense, tinbergen institute discussion, Working Paper, No. TI 2019-010/V, Tinbergen Institute, Amsterdam and Rotterdam, pp. 1-48. https://papers.tinbergen.nl/19010.pdf
Pauliuc, D., Fu, Y., & Wikner, S. (2018). A study on the attachment in between owner and pet and its influence on the consumption of pet food. Master Thesis, International Business Scholl, Jonkoping University. https://core.ac.uk/download/pdf/217052628.pdf
Poret, S. (2019). Corporate–NGO partnerships through sustainability labeling schemes: motives and risks. Sustainability MDPI, 11, 2689, pp. 1-19. doi:10.3390/su11092689
Prabowo, A., Mamat, M., and Sukono. (2019.a). Model of Rice Farm Insurance to Reduce Losses Due to Harvest Failure. International Journal of Recent Technology and Engineering (IJRTE), 8(2), 231- 236. https://www.ijrte.org/wp-content/uploads/papers/v8i2S7/B10590782S719.pdf
Prabowo, A., Mamat, M., Sukono, and Taufiq, A.A. (2019.b). Pricing of Premium for Automobile Insurance using Bayesian Method. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 6226-6229. https://www.semanticscholar.org/paper/Pricing-of-Premium-for-Automobile-Insurance-using-Prabowo-Mamat/bcf707bc0003fec4a869c3ab37d4c15ec0724632
Prokop, P. & Fancovicová, J. (2016). The effect of hands-on activities on children’s knowledge and disgust for animals. Journal of Biology Education, 51, 305–314. doi:10.1080/00219266.2016.1217910
Purwandari, T., Hidayat, Y., Sukono, Subiyanto and Bon, A.T. (2019). Regional Lagging Analysis in Indonesia Using Binary Logistic Regression. Proceedings of the International Conference on Industrial Engineering and Operations Management 1, 2179-2185. http://www.ieomsociety.org/ieom2019/papers/499.pdf
Rahmani, U., Sukono, Riaman, Subiyanto, Bon, A.T. (2019). Analysis of Credit Scoring Using Particle Swarm Optimization Algorithm under Logistic Regression Model. Proceedings of the International Conference on Industrial Engineering and Operations Management, 1, 1201- 1210. http://ieomsociety.org/pilsen2019/papers/340.pdf
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