DOI QR코드

DOI QR Code

Investigating the acceptance of the reopening Bataan nuclear power plant: Integrating protection motivation theory and extended theory of planned behavior

  • Ong, Ardvin Kester S. (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Prasetyo, Yogi Tri (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Salazar, Jose Ma Luis D. (Young Innovators Research Center, Mapua University) ;
  • Erfe, Justine Jacob C. (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Abella, Arving A. (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Young, Michael Nayat (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Chuenyindee, Thanatorn (School of Industrial Engineering and Engineering Management, Mapua University) ;
  • Nadlifatin, Reny (Department of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo) ;
  • Redi, Anak Agung Ngurah Perwira (Industrial Engineering Department, BINUS Graduate Program - Master of Industrial Engineering, Bina Nusantara University)
  • Received : 2021.08.05
  • Accepted : 2021.08.26
  • Published : 2022.03.25

Abstract

Nuclear power plant (NPP) is currently considered as one of the most reliable power sources. However, 182 of them are considered decommissioned and inactive including the one in Bataan, Philippines. The aim of this study was to investigate the acceptance of the reopening of Bataan Nuclear Power Plant (BNPP) by integrating the Theory of Planned Behavior and Protection Motivation Theory. A total of 815 Filipinos answered an online questionnaire which consisted of 37 questions. The Structural Equation Modeling (SEM) indicated that knowledge towards nuclear power plants was the key factor in determining people's acceptance towards NPP reopening. In addition, knowing the benefits would lead to positive perceived behavioral control (PBC) and attitude towards intention. Results showed that PBC and attitude are mediators towards the acceptance of people regarding the reopening of BNPP. If an individual's knowledge gravitates towards the perceived risk, then this can lead to the negative acceptance of the NPP reopening. On the other hand, if an individual's knowledge gravitates towards the perceived benefits, then this will lead to positive acceptance. This study is the first study that explored the acceptance of the reopening BNPP. Finally, the study's model construct would also be very beneficial for researchers, government, and even private sectors worldwide.

Keywords

References

  1. M.A. Rosen, I. Dincer, Nuclear energy as a component of sustainable energy systems, Int. J. Low Carbon Technol. 2 (2007) 109-125, https://doi.org/10.1093/ijlct/2.2.109.
  2. I. Wayan Ngarayana, T.M.D. Do, K. Murakami, M. Suzuki, Nuclear power plant maintenance optimisation: models, methods & strategies, J. Phys. Conf. 1198 (2019), https://doi.org/10.1088/1742-6596/1198/2/022005.
  3. B.W. Brook, A. Alonso, D.A. Meneley, J. Misak, T. Blees, J.B. van Erp, Why nuclear energy is sustainable and has to be part of the energy mix, Sustainable Materials and Technologies. https://doi.org/10.1016/J.SUSMAT.2014.11.001, 2014, 1-2,8,16.
  4. World Nuclear Association, Current and Future Generation, World Nuclear, 2021. https://www.world-nuclear.org/information-library/current-and-future-generation/nuclear-power-in-the-world-today.aspx.
  5. T. Zhang, Z. Liu, S. Zheng, X. Qu, D. Tao, Predicting errors, violations, and safety participation behavior at nuclear power plants, International Journal of Environmental Research and Public Health Article. (n.d.). https://doi.org/10.3390/ijerph17155613.
  6. D. Iurchak, 200 - 400 Nuclear Reactors to Be Decommissioned by 2040, Energypost.Eu, 2020. https://energypost.eu/200-400-nuclear-reactors-to-be-decommissioned-by-2040/.
  7. J.P. Terry, J.R. Goff, Natural Hazards in the Asia-Pacific Region: Recent Advances and Emerging Concepts, Marine Geophysical Research, 2012.
  8. F. Butterfield, Filipinos Say Marcos Was Given Millions for '76 Nuclear Contract, The New York Times, 1986. https://www.nytimes.com/1986/03/07/world/filipinos-say-marcos-was-given-millions-for-76-nuclear-contract.html.
  9. V. Files, VERA FILES FACT SHEET: A Sleeping Power Giant, Bataan Nuclear Power Plant Explained, VERA Files., 2020. https://verafiles.org/articles/verafiles-fact-sheet-sleeping-power-giant-bataan-nuclear-po.
  10. C.P. Staff, Duterte Orders Consultations with Bataan Residents amid Calls to Reopen Nuclear Plant, CNN Philippines, 2020. https://www.cnnphilippines.com/news/2020/10/1/Duterte-consultation-Bataan-nuclear-power-plant.html.
  11. R. Cabato, Russian Ambassador: Bataan Nuclear Power Plant Revival "Not Possible at All," CNN Philippines, 2018. https://cnnphilippines.com/news/2018/04/04/Russian-ambassador-Igor-Khovaev-Bataan-nuclear-power-plant-revival-not-possible.html.
  12. C.Y. Hsu, M.Y. Chen, S.C. Yang, Residents' attitudes toward support for island sustainable tourism, Sustainability 11 (2019) 1-16, https://doi.org/10.3390/su11185051.
  13. E.R. Yttredal, N. Homlong, Perception of Sustainable Development in a Local World Heritage Perspective, (n.d.). https://doi.org/10.3390/su12218825.
  14. I. Ajzen, The Theory of Planned Behavior: Frequently Asked Questions, 2020, https://doi.org/10.1002/hbe2.195.
  15. A.T. Services, What Is Theory of Planned Behavior? A Division of Information Technology Services, 1998, p. 6654.
  16. S.R. Shakeel, S. ur Rahman, Towards the establishment of renewable energy technologies' market: an assessment of public acceptance and use in Pakistan, J. Renew. Sustain. Energy 10 (2018), https://doi.org/10.1063/1.5033454.
  17. J. Kim, S.K. Lee, J. Lee, M.Y. Choi, S.P. Jung, M.K. Kim, S. Kim, S.J. Nam, J.E. Lee, W.H. Kil, Breast cancer screening knowledge and perceived health beliefs among immigrant women in Korea, Journal of Breast Cancer 17 (2014) 279-286, https://doi.org/10.4048/jbc.2014.17.3.279.
  18. Y.T. Prasetyo, A.M. Castillo, L.J. Salonga, J.A. Sia, J.A. Seneta, Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during enhanced community quarantine in luzon, Philippines: integrating protection motivation theory and extended theory of planned behavior, Int. J. Infect. Dis. 99 (2020) 312-323, https://doi.org/10.1016/J.IJID.2020.07.074.
  19. A. Heidenreich, T. Masson, S. Bamberg, Let's talk about flood risk - evaluating a series of workshops on private flood protection, International Journal of Disaster Risk Reduction 50 (2020) 101880, https://doi.org/10.1016/J.IJDRR.2020.101880.
  20. R.C. Plotnikoff, L. Trinh, Protection motivation theory: is this a worthwhile theory for physical activity promotion? Exerc. Sport Sci. Rev. 38 (2010) 91-98, https://doi.org/10.1097/JES.0b013-3181d49612.
  21. G. Zhao, E. Cavusgil, Y. Zhao, A protection motivation explanation of base-of-pyramid consumers' environmental sustainability, J. Environ. Psychol. 45 (2016) 116-126, https://doi.org/10.1016/J.JENVP.2015.12.003.
  22. A.C. Clubb, J.C. Hinkle, Protection motivation theory as a theoretical framework for understanding the use of protective measures, Crim. Justice Stud. Crit. J. Crime Law Soc. 28 (2015) 336-355, https://doi.org/10.1080/1478601X.2015.1050590.
  23. A.M.F. Lagmay, R. Rodolfo, H. Cabria, J. Soria, P. Zamora, C. Abon, C. Lit, M.R.T. Lapus, E. Paguican, M.G. Bato, G. Tiu, E. Obille, N.E. Pellejera, P.C. Francisco, R.N. Eco, J. Aviso, Geological Hazards of SW Natib Volcano, Site of the Bataan Nuclear Power Plant, the Philippines, vol. 361, Geological Society Special Publication, 2012, pp. 151-169, https://doi.org/10.1144/SP361.13.
  24. M.G. Alipario, The Bataan Nuclear Power Plant in the Philippines: A Nuclear Plant, and a Dream, Fizzles, Energycentral, 2020. https://energycentral.com/c/pip/bataan-nuclear-power-plant-philippines-nuclear-plant-and-dream-fizzles.
  25. P. Janmaimool, Application of Protection Motivation Theory to Investigate Sustainable Waste Management Behaviors, (n.d.). https://doi.org/10.3390/su9071079.
  26. S. Wang, J. Wang, S. Lin, J. Li, Public perceptions and acceptance of nuclear energy in China: the role of public knowledge, perceived benefit, perceived risk and public engagement, Energy Pol. 126 (2019) 352-360, https://doi.org/10.1016/J.ENPOL.2018.11.040.
  27. L. Huang, Y. Zhou, Y. Han, J.K. Hammitt, J. Bi, Y. Liu, Effect of the Fukushima nuclear accident on the risk perception of residents near a nuclear power plant in China, Proc. Natl. Acad. Sci. Unit. States Am. 110 (2013), https://doi.org/10.1073/PNAS.1313825110, 19742-19747.
  28. H. Staats, Pro-environmental attitudes and behavioral change, Encyclop. Appl. Psychol. (2004) 127-135.
  29. M. Manning, The effects of subjective norms on behaviour in the theory of planned behaviour: a meta-analysis, Br. J. Soc. Psychol. 48 (2009) 649-705, https://doi.org/10.1348/014466608X393136.
  30. T.H. Skoglund, T. Brekke, F. Steder, O. Boe, Big Five Personality Profiles in the Norweigian Special Operations Forces, Fornties in Psychology, 2020.
  31. I. Ajzen, The theory of planned behavior, Organ. Behav. Hum. Decis. Process. 50 (1991) 179-211, https://doi.org/10.1016/0749-5978(91)90020-T.
  32. C.J. Armitage, M. Conner, Armitage and connor 2001.Pdf>, Br. J. Soc. Psychol. 40 (2001) 471. https://pdfs.semanticscholar.org/ab83/87ae29317c651a129efc7a2297bc5f348a95.pdf. https://doi.org/10.1348/014466601164939
  33. C. Neighbors, R.M. O'connor, M.A. Lewis, N. Chawla, C.M. Lee, N. Fossos, The Relative Impact of Injunctive Norms on College Student Drinking: the Role of Reference Group, (n.d.). https://doi.org/10.1037/a0013043.
  34. L. Hua, S. Wang, Antecedents of Consumers' Intention to Purchase Energy-Efficient Appliances: an Empirical Study Based on the Technology Acceptance Model and Theory of Planned Behavior, (n.d.). https://doi.org/10.3390/su11102994.
  35. D. Karaiskos, E. Tzavellas, G. Balta, T. Paparrigopoulos, P02-232 - social network addiction : a new clinical disorder? Eur. Psychiatr. 25 (2010) 855, https://doi.org/10.1016/s0924-9338(10)70846-4.
  36. T. Jung, M. Claudia Tom Dieck, H. Lee, N. Chung, Relationships Among Beliefs, Attitudes, Time Resources, Subjective Norms, and Intentions to Use Wearable Augmented Reality in Art Galleries, (n.d.). https://doi.org/10.3390/su12208628.
  37. N. Nguyen, H. Viet Nguyen, P. Thao Nguyen, V. Thao Tran, H. Nam Nguyen, T. My Nguyet Nguyen, T. Khanh Cao, T. Hung Nguyen, Some key factors affecting consumers' intentions to purchase functional foods, A Case Study of Functional Yogurts in Vietnam 9 (2020) 24, https://doi.org/10.3390/foods9010024.
  38. Y.-J. Choi, J.-W. Park, Investigating Factors Influencing the Behavioral Intention of Online Duty-free Shop Users, (n.d.). https://doi.org/10.3390/su12177108.
  39. W. LaMorte, The Theory of Planned Behavior, Behavioral Change Models, 2019. https://sphweb.bumc.bu.edu/otlt/mph-modules/sb/behavioralchangetheories/BehavioralChangeTheories3.html#headingtaglink_1.
  40. B. Foltz, H.E. Newkirk, P.H. Schwager, An Empirical Investigation of Factors that Influence Individual Behavior toward Changing Social Networking Security Settings, vol. 11, 2016, https://doi.org/10.4067/S0718-18762016000200002, 2016-2017.
  41. S. Hussain, W. Ahmed, R.M.S. Jafar, A. Rabnawaz, Y. Jianzhou, eWOM source credibility, perceived risk and food product customer's information adoption, Comput. Hum. Behav. 66 (2017) 96-102, https://doi.org/10.1016/J.CHB.2016.09.034.
  42. M. Mamman, A.F. Ogunbado, A.S. Abu-bakr, Factors influencing customer's behavioral intention to adopt islamic banking in northern Nigeria: a proposed framework, J. Econ. Finance 7 (2016) 51-55, https://doi.org/10.9790/5933-07135155.
  43. E. Park, J.Y. Ohm, Factors influencing the public intention to use renewable energy technologies in South Korea: effects of the Fukushima nuclear accident, Energy Pol. 65 (2014) 198-211, https://doi.org/10.1016/J.ENPOL.2013.10.037.
  44. Q. Xiao, H. Liu, M.W. Feldman, How Does Trust Affect Acceptance of a Nuclear Power Plant (NPP): A Survey Among People Living with Qinshan NPP in China, 2017, https://doi.org/10.1371/journal.pone.0187941.
  45. G.H. Lim, W.J. Jung, T.H. Kim, S.Y.T. Lee, The cognitive and economic value of a nuclear power plant in Korea, Nuclear Eng. Technol. 49 (2017) 609-620, https://doi.org/10.1016/J.NET.2016.10.007.
  46. M. Savari, H. Gharechaee, Application of the extended theory of planned behavior to predict Iranian farmers' intention for safe use of chemical fertilizers, J. Clean. Prod. 263 (2020) 121512, https://doi.org/10.1016/J.JCLEPRO.2020.121512.
  47. A. Kiraz, O. Canpolat, C. Ozkurt, H. Taskin, Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application, Comput. Ind. Eng. 150 (2020) 106911, https://doi.org/10.1016/J.CIE.2020.106911.
  48. N. Mundra, R.P. Mishra, Business sustainability in post COVID-19 era by integrated LSS-AM model in manufacturing: a structural equation modeling, Procedia CIRP 98 (2021) 535-540, https://doi.org/10.1016/J.PROCIR.2021.01.147.
  49. J.H. Steiger, Understanding the limitations of global fit assessment in structural equation modeling, Pers. Indiv. Differ. 42 (2007) 893-898, https://doi.org/10.1016/J.PAID.2006.09.017.
  50. S. ten Kate, S. Haverkamp, F. Mahmood, F. Feldberg, Social network influences on technology acceptance: a matter of tie strength, centrality and density, 23rd Bled EConference ETrust: implications for the Individual, Enterprises Soc. Proc. (2010) 18-32.
  51. V. Venkatesh, M.G. Morris, G.B. Davis, F.D. Davis, User acceptance of information technology: toward a unified view, MIS Q.: Manag. Inf. Syst. 27 (2003) 425-478, https://doi.org/10.2307/30036540.
  52. D.F. Jennings, S.L. Seaman, Aggressiveness of response to new business opportunities following deregulation: an empirical study of established financial firms, J. Bus. Ventur. 5 (1990) 177-189, https://doi.org/10.1016/0883-9026(90)90031-N.
  53. L.C. Freeman, Social Networks and the Structure Experiment, Research Methods in Social Network Analysis, 1989.
  54. J. Hartwick, H. Barki, Explaining the role of user participation in information system use, Manag. Sci. 40 (1994) 440-465, https://doi.org/10.1287/mnsc.40.4.440.
  55. E. Karahanna, D.W. Straub, N.L. Chervany, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Q.: Manag. Inf. Syst. 23 (1999) 183-213, https://doi.org/10.2307/249751.
  56. H.C.J. Lucas, V.K. Spitler, LucasSpitler.pdf, Decis. Sci. J. 30 (1999) 291-311. https://doi.org/10.1111/j.1540-5915.1999.tb01611.x
  57. S. Taylor, P. Todd, Assessing IT usage: the role of prior experience, MIS Q.: Manag. Inf. Syst. 19 (1995) 561-568, https://doi.org/10.2307/249633.
  58. J. Lu, J.E. Yao, C.S. Yu, Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology, J. Strat. Inf. Syst. 14 (2005) 245-268, https://doi.org/10.1016/J.JSIS.2005.07.003.
  59. J. Salo, M. Lankinen, M. Mantymaki, The use of social media for artist marketing: music industry perspectives and consumer motivations, JMM Int. J. Media Manag. 15 (2013) 23-41, https://doi.org/10.1080/14241277.2012.755682.
  60. C. Yue, S. Zhao, C. Cummings, J. Kuzma, Investigating factors influencing consumer willingness to buy GM food and nano-food, J. Nanoparticle Res. 17 (2015), https://doi.org/10.1007/s11051-015-3084-4.
  61. P. Sinha, S. Singh, Comparing risks and benefits for the value enhancement of online purchases, Gadjah Mada Int. J. Bus. 19 (2017) 307-326, https://doi.org/10.22146/gamaijb.10512.
  62. X. Bu, H. Viet Nguyen, T.P. Chou, C.-P. Chen, A Comprehensive Model of Consumers' Perceptions, Attitudes and Behavioral Intention toward Organic Tea: Evidence from an Emerging Economy, (n.d.). https://doi.org/10.3390/su12166619.
  63. M.Y. Arafat, I. Saleem, A.K. Dwivedi, A. Khan, Determinants of agricultural entrepreneurship: a GEM data based study, Int. Enterpren. Manag. J. 16 (2020) 345-370, https://doi.org/10.1007/s11365-018-0536-1.
  64. C.W. Utami, Attitude, subjective norms, perceived behavior, entrepreneurship education and self-efficacy toward entrepreneurial intention university student in Indonesia christina whidya utami lecturer at the university of ciputra surabaya, European Res.Stud. J. 20 (2017) 475-495.
  65. A.K. Vasquez Id, C. Foditsch, S. Phie-Anne, C. Duliepre, J.D. Siler, D.R. Just, L.D. Warnick, D. v Nydam, J. Sok, Understanding the Effect of Producers' Attitudes, Perceived Norms, and Perceived Behavioral Control on Intentions to Use Antimicrobials Prudently on New York Dairy Farms, 2019, https://doi.org/10.1371/journal.pone.0222442.
  66. H.-S. Chen, C.-H. Liang, S.-Y. Liao, H.-Y. Kuo, Consumer Attitudes and Purchase Intentions toward Food Delivery Platform Services, (n.d.). https://doi.org/10.3390/su122310177.
  67. Y. Sugiawan, S. Managi, Public acceptance of nuclear power plants in Indonesia: portraying the role of a multilevel governance system, Energy Strategy Reviews 26 (2019) 100427, https://doi.org/10.1016/J.ESR.2019.100427.
  68. N. Yu, Y. Zhang, J. Wang, X. Cao, X. Fan, X. Xu, F. Wang, Knowledge of and attitude to nuclear power among residents around tianwan nuclear power plant in jiangsu of China, Int. J. Med. Sci. 9 (2012) 361-369, https://doi.org/10.7150/ijms.4629.
  69. S. Marza, I. Idris, A. Abror, The Influence of Convenience, Enjoyment, Perceived Risk, and Trust on the Attitude toward Online Shopping, 2019, https://doi.org/10.2991/piceeba2-18.2019.40.
  70. N. Anastasia, S. Santoso, Effects of subjective norms, perceived behavioral control, perceived risk, and perceived usefulness towards intention to use credit cards in surabaya, Indonesia, SHS Web of Conferences 76 (2020), 01032, https://doi.org/10.1051/shsconf/20207601032.
  71. F.M. Annan, K. Oppong Asante, N. Kugbey, Perceived seriousness mediates the influence of cervical cancer knowledge on screening practices among female university students in Ghana, BMC Wom. Health 19 (2019) 1-8, https://doi.org/10.1186/s12905-019-0842-y.
  72. S.S. Daniali, E. Al, Knowledge, risk perception, and behavioral intention about hepatitis C, among university students, J. Educ. Health Promot. 4 (2015).
  73. S.A. Salloum, M. Al-Emran, K. Shaalan, A. Tarhini, Factors affecting the E-learning acceptance: a case study from UAE, Educ. Inf. Technol. 24 (2019) 509-530, https://doi.org/10.1007/s10639-018-9786-3.
  74. H. Zhu, F. Deng, How to Influence Rural Tourism Intention by Risk Knowledge during COVID-19 Containment in China: Mediating Role of Risk Perception and Attitude, (n.d.). https://doi.org/10.3390/ijerph17103514.
  75. J.R. Meher, R.K. Mishra, Evaluation of Perceived Benefits and Employee Satisfaction through Knowledge Management practices, Global Knowledge, Memory and Communication, 2021, https://doi.org/10.1108/GKMC-11-2020-0181.
  76. S. Tantitaechochart, N. Paoprasert, K. Silva, Analyzing local perceptions toward the new nuclear research reactor in Thailand, Nuclear Eng. Technol. 52 (2020) 2958-2968, https://doi.org/10.1016/J.NET.2020.05.013.
  77. A.K.S. Ong, Y.T. Prasetyo, F.C. Lagura, R.N. Ramos, K.M. Sigua, J.A. Villas, M.N. Young, J.F.T. Diaz, S.F. Persada, A.A.N.P. Redi, Factors affecting intention to prepare for mitigation of "the big one" earthquake in the Philippines: integrating protection motivation theory and extended theory of planned behavior, International Journal of Disaster Risk Reduction 63 (2021) 102467, https://doi.org/10.1016/J.IJDRR.2021.102467.
  78. M. Aboelmaged, G. Hashem, S. Mouakket, Predicting subjective well-being among mHealth users: a readiness - value model, Int. J. Inf. Manag. 56 (2021) 102247, https://doi.org/10.1016/J.IJINFOMGT.2020.102247.
  79. E. Vogels, Millennials Stand Out for Their Technology Use, but Older Generations Also Embrace Digital Life, Pew Research Center, 2019. https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/.
  80. Y. Guo, T. Ren, When it is Unfamiliar to Me: Local Acceptance of Planned Nuclear Power Plants in China in the Post-Fukushima Era, Energy Policy 100 (2017) 113-125, https://doi.org/10.1016/j.enpol.2016.10.002.
  81. X. Ru, S. Wang, Q. Chen, S. Yan, Exploring the interaction effects of norms and attitudes on green travel intention: An empirical study in eastern China, J. Clean. Prod. 197 (1) (2018) 1317-1327, https://doi.org/10.1016/j.jclepro.2018.06.293.
  82. D. Lili, Y. Ying, H. Qiuhui, L. Mengxi, Residents' acceptance of using desalinated water in China based on the theory of planned behaviour (TPB), Marine Policy 123 (2021) 104293, https://doi.org/10.1016/j.marpol.2020.104293.
  83. C. Chen, W. Chao, Habitual or reasoned? Using the theory of planned behavior, technology acceptance model, and habit to examine switching intentions toward public transit, Transportation Research Part F: Traffic Psychology and Behaviour 14 (2) (2011) 128-137, https://doi.org/10.1016/j.trf.2010.11.006.
  84. F. Fornana, P. Pattitoni, M. Mura, E. Strazzera, Predicting intention to improve household energy efficiency: The role of value-belief-norm theory, normative and informational influence, and specific attitude, J. Environ. Psychol. 45 (2016) 1-10, https://doi.org/10.1016/j.jenvp.2015.11.001.
  85. D. Mishra, I. Akman, A. Mishra, Theory of Reasoned Action application for Green Information Technology acceptance, Computers in Human Behavior 36 (6) (2014) 29-40, https://doi.org/10.1016/j.chb.2014.03.030.
  86. E. Park, S. Kim, Y. Kim, S. Kwon, Smart home services as the next mainstream of the ICT industry: determinants of the adoption of smart home services, Universal Access in the Information Society 17 (2018) 175-190, https://doi.org/10.1007/s10209-017-0533-0.
  87. T. Goh, B.W. Ang, X.Y. Xu, Quantifying drivers of CO2 emissions from electricity generation - Current practices and future extensions, Applied Energy 231 (1) (2018) 1191-1204, https://doi.org/10.1016/j.apenergy.2018.09.174.
  88. N. Thongsri, L. Shen, Y. Bao, I.M. Alharbi, Integrating UTAUT and UGT to explain behavioural intention to use M-learning: A developing country's perspective, J. Sys. Information Tech. 20 (2018) 278-297, https://doi.org/10.1108/JSIT-11-2017-0107.
  89. Y Hao, Y. Guo, B. Tian, Y. Shao, What affects college students' acceptance of nuclear energy? Evidence from China, J. Clean. Prod. 222 (2019) 746-759, https://doi.org/10.1016/j.jclepro.2019.03.040.
  90. D. Gefen, D. Straub, M. Boudreau, Structural equation modeling and regression: guidelines for research practice, Commun Assoc Inf Syst 4 (2000), https://doi.org/10.17705/1cais.00407.
  91. Y.T. Prasetyo, A.K.S. Ong, G.K.F. Concepcion, F.M.B. Navata, R.A.V. Robles, I.J.T. Tomagos, M.N. Young, J.F.T. Diaz, R. Nadlifatin, A.N.N. Perwira Redi, et al., Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model, Sustainability 13 (15) (2021) 8365, https://doi.org/10.3390/su13158365.
  92. Y.T. Prasetyo, A. Kumar, A.J.P. Canlas, K.T.A.M. Ong, M.K.A.S. Siochi, A.K.S. Ong, Evaluation of Chair Dimensions, Anthropometric Measurements and Subjective Comfort Among Filipino High School Students: A Structural Equation Modelling Approach, Proceedings of the International Conference on Industrial Engineering and Operations Management Sao Paulo, Brazil (April 5 - 8, 2021). http://www.ieomsociety.org/brazil2020/papers/642.pdf.
  93. Y.T. Prasetyo, S.A.R. Tumanan, L.A.F. Yarte, M.C.C. Ogoy, A.K.S. Ong, Blackboard E-learning System Acceptance and Satisfaction Among Filipino High School Students: An Extended Technology Acceptance Model (TAM) Approach, 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2020) 1271-1275, https://doi.org/10.1109/IEEM45057.2020.9309876.
  94. A.K.S. Ong, R.A.C. Robielos, Y.T. Jou, H.M. Wee, Three-Level Supply Chain considering Direct and Indirect Transportation Cost and Carbon Emissions, IOP Conf. Ser.: Mater. Sci. Eng. 847 (2020) 012050, https://doi.org/10.1088/1757-899X/847/1/012050.
  95. A.K.S. Ong, A.I.R. Convento, G.J.D. Fradas, V.L.M. Sumera, J.M.C. Villacarlos, M.J.J. Gumasing, A Three-Level Supply Chain of Self-Healing Packages Considering Direct and Indirect Carbon Emission of Industrial and Transportation Cost, Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management Singapore (March 7-11, 2021). http://www.ieomsociety.org/singapore2021/papers/730.pdf.