TEKNOLOJİ KABUL MODELİ BAĞLAMINDA KADINLARIN E-SKUTER KULLANIM NİYETİNİN İNCELENMESİ: İSTANBUL İLİ ÖRNEĞİ

Yıl 2023, Cilt: 20 Sayı: 52, 224 - 238, 31.03.2023

Esra Özmen

https://doi.org/10.26466/opusjsr.1248118

Öz

İnsanların ihtiyaçlarını karşılama araçları gün geçtikçe değişmektedir. Örneğin ulaşım ihtiyacı günümüze kadar çeşitli taşıtlarla sağlanmış ve her zaman kullanıcı memnuniyeti göz önünde bulundurulmuştur. Fakat teknolojinin gelişmesi ve insan ihtiyaçlarının karşılanma biçiminin değişmesiyle birlikte üretilen ürünlerin tüketiciler tarafından kabul edilme ve kullanılma düzeyleri de değişim göstermiştir. Ulaşımın kolaylığını sağlamak için geliştirilen skuterler de bu değişimin bir parçası olarak görülebilir. Çalışma kapsamında kadın katılımcıların e-skuter teknolojisini ulaşım ihtiyaçlarını karşılamak için hangi düzeyde kullandıkları ve bu teknolojiyi hangi seviyede kabul ettikleri araştırılmıştır. Kadınların e-skuterleri benimsemesini etkileyen faktörler Teknoloji Kabul Modeli (TAM) bağlamında ele alınmıştır. Çalışma kapsamında algılanan güvenlik faktörünün e-skuter kullanımına dönük davranışsal niyet faktörüyle ilişkisi ölçülememiştir. Fakat sosyal etki, algılanan kullanım kolaylığı, algılanan fayda ve çevresel duyarlılık faktörleri ile davranışsal niyet arasında doğrudan ve dolaylı ilişkiler bulunmuştur. Çalışma sonucunda kadınların e-skuteri kullanmasında etki olan faktörler hakkında çıkarımlar yapılarak konuyla ilgili gelecek çalışmalara ve düzenlemelere dönük çeşitli önerilerde bulunulmuştur.

Anahtar Kelimeler

Mikromobilite, e-Skuter, Teknoloji Kabul Modeli, Davranışsal Niyet

Destekleyen Kurum

T.C. Çevre, Şehircilik ve İklim Değişikliği Bakanlığı - Ankara Hacı Bayram Veli Üniversitesi

Proje Numarası

2022-590647

Examining Women’s Intention to Use E-Scooters with Technology Acceptance Model: Istanbul Case

Öz

The means of meeting people's needs are changing day by day. For example, the need for transportation has been provided by various vehicles until today and user satisfaction has always been taken into account. However, with the development of technology and the change in the way of meeting human needs, the level of acceptance and use of products by consumers has also changed. Scooters developed to provide ease of transportation can also be seen as a part of this change. Within the scope of the study, it was investigated at what level female participants used e-scooter technology to meet their transportation needs and at what level they accepted this technology. The factors affecting women's adoption of e-scooters are discussed in the context of the Technology Acceptance Model (TAM). The relationship between the perceived security factor within the scope of the study and the behavioral intention to use the e-scooter could not be measured. However, there are direct and indirect relationships between social impact, perceived ease of use, perceived usefulness and environmental sensitivity, and behavioral intention. As a result, inferences were made regarding the factors affecting the use of e-scooter by women.

Anahtar Kelimeler

Micromobility, e-Scooter, Technology Acceptance Model, Behavioral Intent

Proje Numarası

2022-590647

Kaynakça

• Abduljabbar, R. L., Liyanage, S., & Dia, H. (2021). The role of micro-mobility in shaping sustainable cities: A systematic literature review. Transportation research part D: transport and environment, 92, 102734. https://doi.org/10.1016/j.trd.2021.102734
• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior 11-39. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
• Alkış, N., & Coşkunçay, D. F. (2021). Covid-19 Salgınında Hayat Eve Sığar (HES) Uygulamasının Kullanıcılar Tarafından Benimsenmesi: Ampirik Bir Çalışma. Bilişim Teknolojileri Dergisi, 14(4), 367-376. Erişim adresi: https://dergipark.org.tr/en/pub/gazibtd/issue/65617/883789
• Bieliński, T., & Ważna, A. (2020). Electric scooter sharing and bike sharing user behavior and characteristics. Sustainability, 12(22), 9640. https://doi.org/10.3390/su12229640
• Bivina, G. R., Landge, V., & Kumar, V. S. (2016). Socio economic valuation of traffic delays. Transportation Research Procedia, 17, 513-520. https://doi.org/10.1016/j.trpro.2016.11.104
• Bozkurt, B., Aydoğan, S., & Aktan, M. (2021). Elektrikli scooter kiralamada algılanan tüketici faydası: tüketici yenilikçiliğin rolü. Aurum Journal of Social Sciences, 6(2), 171-195. Erişim adresi: https://dergipark.org.tr/en/pub/aurum/issue/67556/934405
• Bozpolat, C., & Seyhan, H. (2020). Mobil ödeme teknolojisi kabulünün teknoloji kabul modeli ile incelenmesi: Ampirik bir araştırma. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(1), 119-145. https://doi.org/10.18074/ckuiibfd.619852
• Buehler, R., Broaddus, A., Sweeney, T., Zhang, W., White, E., & Mollenhauer, M. (2021). Changes in travel behavior, attitudes, and preferences among e-scooter riders and nonriders: first look at results from pre and post e-scooter system launch surveys at Virginia Tech. Transportation research record, 2675(9), 335-345. https://doi.org/10.1177/0361198121100221
• Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz Ş., & Demirel, F. (2021). Örnekleme Yöntemleri. Bilimsel Araştırma Yöntemleri (s. 81-103) içinde Ankara: Pegem Akademi
• Chang, Y. W., & Chen, J. (2021). What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness. Journal of Retailing and Consumer Services, 58, 102325. https://doi.org/10.1016/j.jretconser.2020.102325
• Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS quarterly, 22 (1). Erişim adresi: https://www.jstor.org/stable/249674
• Cho, Y. C. & Sagynov, E. (2015). Exploring factors that affect usefulness, ease of use, trust, and purchase intention in the online environment. International Journal of Management & Information Systems, 19 (1), 21-36. https://doi.org/10.19030/ijmis.v19i1.9086
• Clewlow, R. R. (2019). The micro-mobility revolution: the introduction and adoption of electric scooters in the United States (No. 19-03991). Erişim adresi: https://trid.trb.org/view/1572549
• Çelik, K., & Taş, A. (2021). E-Ticarette Mobil Alışveriş Uygulamalarını Kullanmaya Devam Etme Niyetinin Araştırılması: Genişletilmiş Teknoloji Kabul Modeli. Third Sector Social Economic Review, 56(3), 1997-2019. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.21.09.1655
• Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology). Erişim adresi: https://dspace.mit.edu/bitstream/handle/1721.1/15192/14927137-MIT.pdf
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3), 319-340. https://doi.org/10.2307/249008
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
• Dheenadhayalan, V., & Priya, R. S. (2021). Influencing Factors on Purchase Decision of Women Two-Wheeler Users. Annals of the Romanian Society for Cell Biology, 25 (5), 3430-3440. Erişim adresi: https://www.annalsofrscb.ro/index.php/journal/article/view/4990
• Dias, G., Arsenio, E., & Ribeiro, P. (2021). The role of shared E-Scooter systems in urban sustainability and resilience during the COVID-19 mobility restrictions. Sustainability, 13(13), 7084. https://doi.org/10.3390/su13137084
• Doshi, P. V. (2018). Relationship of perceived ease use and perceived usefulness on usage of e-commerce site. International Journal of Academic Research and Development, 3(1), 495-498. Erişim adresi: https://www.multidisciplinaryjournal.in/archives/2018/vol3/issue1/3-1-126
• Dunlap, R. E., Van Liere, K. D., Mertig, A. G., & Jones, R. E. (2000). New trends in measuring environmental attitudes: measuring endorsement of the new ecological paradigm: a revised NEP scale. Journal of social issues, 56(3), 425-442. https://doi.org/10.1111/0022-4537.00176
• Field, A. (2013). Discovering statistics using IBM SPSS statistics. Londra, İngiltere: SAGE Publications. Erişim adresi: http://users.sussex.ac.uk/~andyf/dsusflyer.pdf
• Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2). Erişim adresi: https://philarchive.org/archive/FISBAI
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
• Gao, S., Krogstie, J., & Gransæther, P. A. (2008). Mobile services acceptance model. In 2008 International Conference on Convergence and Hybrid Information Technology, 446-453. IEEE. https://doi.org/10.1109/ICHIT.2008.252
• Ghazizadeh, M., Lee, J. D., & Boyle, L. N. (2012). Extending the Technology Acceptance Model to assess automation. Cognition, Technology & Work, 14, 39-49. Erişim adresi: https://link.springer.com/article/10.1007/s10111-011-0194-3
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis, 6th Edition. New Jersey: Pearson Prentice Hall.
• Ho, C. W., & Wu, C. C. (2021). Exploring Intention toward using an electric scooter: Integrating the technology readiness and acceptance into norm activation model (TRA-NAM). Energies, 14(21), 6895. https://doi.org/10.3390/en14216895
• Huang, F. H. (2021). User behavioral intentions toward a scooter-sharing service: an empirical study. Sustainability, 13(23), 13153. https://doi.org/10.3390/su132313153
• Javadinasr, M., Asgharpour, S., Rahimi, E., Choobchian, P., Mohammadian, A. K., & Auld, J. (2022). Eliciting attitudinal factors affecting the continuance use of E-scooters: An empirical study in Chicago. Transportation research part F: traffic psychology and behavior, 87, 87-101. https://doi.org/10.1016/j.trf.2022.03.019
• Kopplin, C. S., Brand, B. M., & Reichenberger, Y. (2021). Consumer acceptance of shared e-scooters for urban and short-distance mobility. Transportation research part D: transport and environment, 91, 102680. https://doi.org/10.1016/j.trd.2020.102680
• Lee, K. (2008). Opportunities for green marketing: young consumers. Marketing intelligence & planning, 26(6), 573-586. https://doi.org/10.1108/02634500810902839
• Lukita, L., Syarief, A., Riyadi, S., & Sriwarno, A. B. (2020). Study of Female Rider Visual Perception Toward Scooter Designs in Indonesia. Journal of Visual Art and Design, 12 (2). 132-143. https://doi.org/10.5614/j.vad.2020.12.2.4
• Mitchell, W. J., Borroni-Bird, C. E., & Burns, L. D. (2010). Reinventing the automobile: Personal urban mobility for the 21st century. London: MIT press. Erişim adresi: https://books.google.com.tr/books?hl=tr&lr=&id=32Nbb26J9iEC&oi=fnd&pg=PP8&ots=BFL_wKKOjH&sig=IwCXsPYtfkblo-TqpXRjidTa-fs&redir_esc=y#v=onepage&q&f=false
• Natarajan K. (2020). Satisfaction Towards Scooter Purchase Among Women Purchaser. Purakala (UGC Care Journal), 31(31). 79-89. https://doi.org/10.5281/zenodo.5520205
• Osswald, S., Wurhofer, D., Trösterer, S., Beck, E., & Tscheligi, M. (2012, October). Predicting information technology usage in the car: towards a car technology acceptance model. In Proceedings of The 4th İnternational Conference on Automotive User İnterfaces And İnteractive Vehicular Applications, 51-58. https://doi.org/10.1145/2390256.2390264
• Özer, A. C., Poyraz, E. ve Kızgın, Y. (2019). Nakitsiz toplum yaratmada elektronik ödeme araçlarının benimsenmesi. Business & Management Studies: An International Journal, 7 (2), 735-755. http://dx.doi.org/10.15295/bmij.v7i2.1032
• Öztaş Karlı, R. G., Karlı, H., & Çelikyay, H. S. (2022). Investigating the acceptance of shared e-scooters: empirical evidence from Turkey. Case studies on transport policy, 10(2), 1058-1068. https://doi.org/10.1016/j.cstp.2022.03.018
• Popova, Y., & Zagulova, D. (2022). Aspects of E-Scooter Sharing in the Smart City. In Informatics, 9 (2). 36. https://doi.org/10.3390/informatics9020036
• Ratan, R., Earle, K., Rosenthal, S., Chen, V. H. H., Gambino, A., Goggin, G., ... & Lee, K. M. (2021). The (digital) medium of mobility is the message: Examining the influence of e-scooter mobile app perceptions on e-scooter use intent. Computers in Human Behavior Reports, 3, 100076. https://doi.org/10.1016/j.chbr.2021.100076
• Raza, S. A., Umer, A. & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. Int. J. Electronic Customer Relationship Management, 11 (1), 44-65. https://doi.org/10.1504/IJECRM.2017.086751
• Sanders, R. L., Branion-Calles, M., & Nelson, T. A. (2020). To scoot or not to scoot: Findings from a recent survey about the benefits and barriers of using E-scooters for riders and non-riders. Transportation Research Part A: Policy and Practice, 139, 217-227. https://doi.org/10.1016/j.tra.2020.07.009
• Shaheen, S., & Cohen, A. (2019). Shared micromoblity policy toolkit: Docked and dockless bike and scooter sharing. Erişim adresi: https://escholarship.org/content/qt00k897b5/qt00k897b5.pdf
• Shaheen, S., Cohen, A., Chan, N., & Bansal, A. (2020). Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes. In Transportation, land use, and environmental planning 237-262. Elsevier. https://doi.org/10.1016/B978-0-12-815167-9.00013-X
• Singh, S., Priyadharshni, B., Prathyusha, C., & Moses Santhakumar, S. (2021). Investigating the characteristics and choice of electric scooter users: a case study of Tiruchirappalli city. In Innovations in Sustainable Energy and Technology: Proceedings of ISET 2020 (pp. 161-171). Springer Singapore. https://doi.org/10.1007/978-981-16-1119-3_15
• Stevens, J. P. (2012). Applied multivariate statistics for the social sciences. Newyork: Routledge. Erişim adresi: https://doc1.bibliothek.li/acb/FLMF039130.pdf
• Sun, S., Lee, P. C., Law, R., & Hyun, S. S. (2020). An investigation of the moderating effects of current job position level and hotel work experience between technology readiness and technology acceptance. International Journal of Hospitality Management, 90, 102633. https://doi.org/10.1016/j.ijhm.2020.102633
• Surendran, P. (2012). Technology acceptance model: A survey of literature. International journal of business and social research, 2(4), 175-178. Erişim adresi: https://ideas.repec.org/a/mir/mirbus/v2y2012i4p175-178.html
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
• Zhang, T., Lu, C. & Kizildag, M. (2018). Banking “on- the- go”: Examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences, 10 (3), 279-295. https://doi.org/10.1108/IJQSS-07-2017-0067