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The Role of Optimism and Innovativeness on Consumers' Intention to Use Smart Robot Vacuum Cleaners

Yıl 2025, Cilt: 25 Sayı: 1, 243 - 270, 27.03.2025
https://doi.org/10.18037/ausbd.1567807

Öz

This study examines the effects of optimism and innovativeness on consumers' future intention to use smart robot vacuum cleaners. Analyses using structural equation modelling with Smart PLS software reveal that optimism and innovativeness significantly and positively affect consumers' intention to use robot vacuum cleaner technology in the future. In addition, due to the multiple group analysis conducted in the Smart PLS programme, optimism stands out as an important factor shaping the intention to use smart robot vacuum cleaners in the future, especially among young individuals. In addition, it was determined that there was a stronger relationship between optimism and future usage intention in participants aged 34 years and younger than those aged 35 years and older. There are also gender-based differences in the innovativeness dimension. While innovativeness has a positive effect on women, it has a negative effect on men. Finally, it was determined that the marital status variable did not lead to any change in the model. These results show that psychological factors and demographic characteristics are important in technology adoption. The study results reveal that marketing strategies should focus on optimism and innovation. Marketing messages reinforcing positive attitudes towards young consumers and encouraging innovation are essential for businesses. According to the study, emphasising innovative features to attract female consumers in the marketing efforts of smart home assistants will move marketing efforts forward. Focusing on a specific geographical area, only two dimensions of the technological readiness index, the smart robot vacuum cleaner product, and time constraints constitute the limitations of the research.

Kaynakça

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Tüketicilerin Akıllı Robot Süpürgeleri Kullanma Niyeti Üzerinde İyimserlik ve Yenilikçiliğin Rolü

Yıl 2025, Cilt: 25 Sayı: 1, 243 - 270, 27.03.2025
https://doi.org/10.18037/ausbd.1567807

Öz

Bu çalışma, tüketicilerin akıllı robot süpürgeleri gelecekte kullanma niyeti üzerinde iyimserlik ve yenilikçiliğin etkilerini incelemektedir. Smart PLS programı ile yapısal eşitlik modeli kullanılarak yapılan analizler, iyimserlik ve yenilikçiliğin tüketicilerin robot süpürge teknolojisini gelecekte kullanma niyetlerini anlamlı ve pozitif yönde etkilediğini ortaya koymaktadır. Ayrıca Smart PLS programında yapılan çoklu grup analizi sonucunda iyimserlik, özellikle genç bireyler arasında akıllı robot süpürgeleri gelecekte kullanma niyetini şekillendiren önemli bir faktör olarak öne çıkmaktadır. Ek olarak 34 yaş ve altı katılımcılarda, 35 yaş ve üzerindekilere göre iyimserlik ile gelecekte kullanım niyeti arasında daha güçlü bir ilişki bulunduğu belirlenmiştir. Yenilikçilik boyutunda da cinsiyet bazında farklılıklar bulunmaktadır. Yenilikçilik, kadınlar için olumlu bir etki yaratırken, erkekler için küçük de olsa olumsuz bir etki ortaya çıkartmaktadır. Son olarak medeni durum değişkeninin model üzerinde herhangi bir değişikliğe yol açmadığı belirlenmiştir. Çalışmada ortaya çıkan bu sonuçlar, teknoloji benimseme süreçlerinde psikolojik faktörlerin ve demografik özelliklerin önemli bir rol oynadığını göstermektedir. Çalışmanın sonuçları, pazarlama stratejilerinin iyimserlik ve yenilikçilik boyutlarına odaklanarak şekillendirilmesi gerektiğini ortaya çıkartmaktadır. Genç tüketicilere yönelik olumlu tutumları güçlendiren ve yenilikçiliği teşvik eden pazarlama iletişimi mesajları işletmeler açısından önem arz etmektedir. Çalışmaya göre akıllı ev yardımcılarının pazarlama çabalarında kadın tüketicilerin ilgisini çekmek için yenilikçi özelliklere vurgu yapılması pazarlama çabalarını ileriye taşıyacaktır. Belirli bir coğrafi alana, teknolojik hazır olma indeksinin sadece iki boyutuna, akıllı robot süpürge ürününe odaklanılması ve zaman kısıtları araştırmanın sınırlılıklarını oluşturmaktadır.

Etik Beyan

Bu çalışmada araştırma ve yayın etik kurallarına riayet edilmiştir.

Kaynakça

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  • Ringle, C., Sarstedt, M., Mitchell, R., ve Gudergan, S. (2018). Partial least squares structural equation modeling in hrm research. The International Journal of Human Resource Management, 31(12), 1617-1643. https://doi.org/10.1080/09585192.2017.1416655
  • Ritter-Hayashi, D., Vermeulen, P. ve Knoben, J. (2019). Is this a man’s world? the effect of gender diversity and gender equality on firm innovativeness. Plos One, 14(9), e0222443. https://doi.org/10.1371/journal.pone.0222443
  • Ruiz‐Palomo, D., Fernández-Gámez, M. ve León-Gómez, A. (2022). Analyzing the effect of financial constraints on technological and management innovation in smes: a gender perspective. Sage Open, 12(1). https://doi.org/10.1177/21582440221079925
  • Salazar-Concha, C., Ficapal-Cusí, P., Peñarroja, V. ve Enache-Zegheru, M. (2022). Validation of the Spanish version of the technostress creators scale in Chilean workers. Anales De Psicología, 38(3), 518-529. https://doi.org/10.6018/analesps.509551
  • Sarstedt, M., Hair, J., Nitzl, C., Ringle, C. ve Howard, M. (2020). Beyond a tandem analysis of sem and process: use of pls-sem for mediation analyses! International Journal of Market Research, 62(3), 288-299. https://doi.org/10.1177/1470785320915686
  • Savalei, V. (2019). A comparison of several approaches for controlling measurement error in small samples. Psychological Methods, 24(3), 352–370. https://doi.org/10.1037/met0000181
  • Schlaegel, C. ve Sarstedt, M. (2016). Assessing the measurement invariance of the four-dimensional cultural intelligence scale across countries: a composite model approach. European Management Journal, 34(6), 633-649. https://doi.org/10.1016/j.emj.2016.06.002
  • Seren, N., ve Altıntaş, M. H. (2023). Üretim işletmelerinin ar-ge harcamalarının yıllık bazdaki hız temelinde çok boyutlu ölçekleme yöntemiyle analizi. The Journal of Accounting and Finance (100), 153-172. https://doi.org/10.25095/mufad.1349307
  • Shah, T. (2023). Linking technology readiness and customer engagement: an ai-enabled voice assistants investigation. Foresight, 26(1), 136–154. https://doi.org/10.1108/fs-10-2021-0195
  • Shiau, W., Sarstedt, M. ve Hair, J. (2019). Internet research using partial least squares structural equation modeling (pls-sem). Internet Research, 29(3), 398-406. https://doi.org/10.1108/intr-10-2018-0447
  • Siahaan, A. ve Thiodore, J. (2022, January). Analysis Influence of Consumer Behavior to Purchase Organic Foods in Jakarta. In 6th International Conference of Food, Agriculture, and Natural Resource (IC-FANRES 2021) (pp. 57-65). Atlantis Press. https://doi.org/10.2991/absr.k.220101.009
  • Slade, E., Dwivedi, Y., Piercy, N. Ve Williams, M. (2015). Modeling consumers' adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology and Marketing, 32(8), 860–873. https://doi.org/10.1002/mar.20823
  • Smith, J. (2023). Robotic assistants in everyday life: a comprehensive overview and future prospects. https://doi.org/10.31219/osf.io/n7hu3
  • Snehvrat, S., Chaudhary, S. ve Majhi, S. G. (2022). Ambidexterity and absorptive capacity in boundary-spanning managers: role of paradox mindset and learning goal orientation. Management Decision, 60(12), 3209-3231. https://doi.org/10.1108/md-03-2021-0328
  • Soelasih, Y. ve Sumani, S. (2021). Customer loyalty: the difference between full-service carriers and low-cost carriers in Indonesia. Binus Business Review, 12(1), 21-29. https://doi.org/10.21512/bbr.v12i1.6489
  • Sohaib, O., Hussain, W., Asif, M., Ahmad, M. ve Mazzara, M. (2020). A pls-sem neural network approach for understanding cryptocurrency adoption. Ieee Access, 8, 13138-13150. https://doi.org/10.1109/access.2019.2960083
  • Sonnenschein, S., Stites, M. ve Ross, A. (2021). Home learning environments for young children in the U.S. during COVID-19. Early Education and Development, 32(6), 794-811. https://doi.org/10.1080/10409289.2021.1943282
  • Teslya, N. ve Savosin, S. (2014, October). Smart-M3-based robot interaction in cyber-physical systems. In Proceedings of 16th Conference of Open Innovations Association FRUCT (pp. 108-114). IEEE. https://doi.org/10.1109/fruct.2014.7000936
  • Tor-Kadıoğlu, C. (2020). Tüketicilerin Akıllı Robot Süpürge Kullanımı Üzerine Bir Araştırma. Üçüncü Sektör Sosyal Ekonomi Dergisi, 55(4), 2515-2537. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.20.11.1450
  • Vaussard, F., Fink, J., Bauwens, V., Rétornaz, P., Hamel, D., Dillenbourg, P. ve Mondada, F. (2014). Lessons learned from robotic vacuum cleaners entering the home ecosystem. Robotics and Autonomous Systems, 62(3), 376-391. https://doi.org/10.1016/j.robot.2013.09.014
  • Wicaksari, P. (2024). The influence of green quality of work life, green employee engagement, and green rewards on green employee retention in sme employees. Small Business International Review, 8(1), e627. https://doi.org/10.26784/sbir.v8i1.627
  • Wundavalli, L., Hussain, M., Gupta, A. ve Arya, S. (2022). Psychometric analysis and construct validation of health professional education in patient safety survey in the Indian context. The National Medical Journal of India, pp. 34, 266–270. https://doi.org/10.25259/nmji_287_19
  • Yakar, U. (2022, Mart 17). Siz Kılınızı Kıpırdatmadan Evinizi Tertemiz Yapacak En İyi Robot Süpürge Tavsiyeleri. Webtekno. https://www.webtekno.com/en-iyi-robot-supurge-tavsiyeleri-h121717.html
  • Yang, H., Lee, H. ve Zo, H. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. Industrial Management & Data Systems, 117(1), 68-89. https://doi.org/10.1108/imds-01-2016-0017
  • Yuan, K. and Fang, Y. (2022). Which method delivers greater signal‐to‐noise ratio: structural equation modelling or regression analysis with weighted composites? British Journal of Mathematical and Statistical Psychology, 76(3), 646-678. https://doi.org/10.1111/bmsp.12293
Toplam 106 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Tüketici Davranışı, Tüketici Odaklı Ürün veya Hizmet Geliştirme
Bölüm Makaleler
Yazarlar

Fatih Bilici 0000-0003-4803-0463

Erken Görünüm Tarihi 25 Mart 2025
Yayımlanma Tarihi 27 Mart 2025
Gönderilme Tarihi 15 Ekim 2024
Kabul Tarihi 29 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 25 Sayı: 1

Kaynak Göster

APA Bilici, F. (2025). Tüketicilerin Akıllı Robot Süpürgeleri Kullanma Niyeti Üzerinde İyimserlik ve Yenilikçiliğin Rolü. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 25(1), 243-270. https://doi.org/10.18037/ausbd.1567807