E-Atık Geri Dönüşümünde Davranışsal Mantık Teorisinin Etkisinin İncelenmesi

Yıl 2024, Cilt: 19 Sayı: 76, 433 - 459

Dilşad Güzel , Kübra Kavalcı

Öz

E-atık geri dönüşüm ve yönetimi, çevre ve insan sağlığı üzerindeki olumsuz etkilerinden dolayı dünya çapında artan bir endişe konusudur. Çalışmada akademisyenlerin e-atık geri dönüşümüne katılma tutum ve niyetlerinin davranışsal mantık teorisi çerçevesinde incelenmesi amaçlanmıştır. Bu amaç doğrultusunda Erzurum ilinde bulunan Erzurum Teknik Üniversitesinde çalışan 193 akademisyene anket uygulanması ile toplanan veriler SPSS. 26.0 paket programı ile analiz edilmiştir. Araştırmada güvenilirlik analizi, aritmetik ortalama, standart sapma analizleri yapılmıştır. Ayrıca çalışmada davranışsal mantık teorisinin alt kategorileri olan; değer, nedenler ve karşı nedenlerin; e-atık geri dönüşümüne yönelik niyet ve tutum üzerindeki etkisini tespit etmek amacıyla 8 hipotez oluşturulmuştur. Yapılan regresyon analizi sonucunda bu hipotezlerden 5 tanesinin kabul edildiği, 3 tanesinin ise ret edildiği (H2, H5, H6) görülmüştür. Sonuçlara bakıldığında ise henüz Türkiye’de yeterli bir bilincin oluşturulmadığı, gerekli önemin verilmediği ve yaygın bir şekilde kullanılmayan e-atık geri dönüşümüne yönelik olumlu tutum ve niyetin olduğu görülmektedir. Ayrıca bu çalışmada kullanılan ankete ilişkin olarak 10.12.2021 tarihinde Atatürk Üniversitesi Sosyal ve Beşerî Bilimler Etik Kurulu tarafından E.88656144-000-2100340542 sayılı etik kurul onayı alınmıştır.

Anahtar Kelimeler

E-Atık, Davranışsal Mantık Teorisi, Geri Dönüşüm

Etik Beyan

bu çalışmada kullanılan ankete ilişkin olarak 10.12.2021 tarihinde Atatürk Üniversitesi Sosyal ve Beşerî Bilimler Etik Kurulu tarafından E.88656144-000-2100340542 sayılı etik kurul onayı alınmıştır.

Investigation of the Effect of Behavioral Logic Theory on E-Waste Recycling

Öz

E-waste recycling and management is a matter of increasing concern worldwide due to its adverse effects on the environment and human health. The study aimed to examine the attitudes and intentions of academicians to participate in e-waste recycling within the framework of behavioral logic theory. For this purpose, the data collected by applying a survey to 193 academicians working at Erzurum Technical University in Erzurum province, was collected using SPSS. It was analyzed with the 26.0 package program. Reliability analysis, arithmetic mean and standard deviation analyzes were performed in the research. In addition, the subcategories of behavioral logic theory in the study are; value, reasons and counter-reasons; 8 hypotheses were created to determine its effect on intention and attitude towards e-waste recycling. As a result of the regression analysis, it was seen that 5 of these hypotheses were accepted and 3 of them were rejected (H2, H5, H6). When looking at the results, it can be seen that sufficient awareness has not yet been created in Turkey, the necessary importance is not given and there is a positive attitude and intention towards e-waste recycling, which is not widely used. In addition, ethics committee approval numbered E.88656144-000-2100340542 was received by Atatürk University Social and Human Sciences Ethics Committee on 10.12.2021 for the survey used in this study.

Anahtar Kelimeler

E-Waste, Behavioral Logic Theory, Recycling

Kaynakça

• Aboelmaged, M. G. (2020, April). Acceptance of E-waste recycling among young adults: an empirical study. In 2020 IEEE Conference on Technologies for Sustainability (SusTech) (pp. 1-6). IEEE.
• Aboelmaged, M. (2021). E-waste recycling behaviour: An integration of recycling habits into the theory of planned behaviour. Journal of Cleaner Production, 278, 124182.
• Ajzen, I. ve Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261. https://psycnet.apa.org/record/1975-21012-001
• Ananno, A. A., Masud, M. H., Dabnichki, P., Mahjabeen, M. ve Chowdhury, S. A. (2021). Survey and analysis of consumers’ behaviour for electronic waste management in Bangladesh. Journal of Environmental Management, 282, 111943. https://www.sciencedirect.com/science/article/pii/S0301479721000050
• Arain, A. L., Pummill, R., Adu-Brimpong, J., Becker, S., Green, M., Ilardi, M., ... ve Neitzel, R. L. (2020). Analysis of e-waste recycling behavior based on survey at a Midwestern US University. Waste Management, 105, 119-127. https://www.sciencedirect.com/science/article/pii/S0956053X20300581
• Aydın, Ç. Y. (2017). Elektronik Atıklar ve Çevre Sağlığı. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi, 1(1), 43-52
• Basha, M. B.ve Lal, D. (2019). Indian consumers' attitudes towards purchasing organically produced foods: An empirical study. Journal of cleaner production, 215, 99-111.
• Batoo, K. M., Pandiaraj, S., Muthuramamoorthy, M., Raslan, E. H. ve Krishnamoorthy, S. (2022). Behavior-based swarm model using fuzzy controller for route planning and E-waste collection. Environmental Science and Pollution Research, 1-15
• Borthakur, A. ve Govind, M. (2017). Emerging trends in consumers’ E-waste disposal behaviour and awareness: A worldwide overview with special focus on India. Resources, Conservation and Recycling, 117, 102-113.
• Botelho, A., Ferreira Dias, M., Ferreira, C. ve Pinto, L. M. C. (2016). The market of electrical and electronic equipment waste in Portugal: Analysis of take-back consumers’ decisions. Waste Management & Research, 34(10), 1074-1080.
• Chi, X., Wang, M. Y. ve Reuter, M. A. (2014). E-waste collection channels and household recycling behaviors in Taizhou of China. Journal of Cleaner Production, 80, 87-95.
• Claudy, M. C. ve Peterson, M. (2014). Understanding the underutilization of urban bicycle commuting: A behavioral reasoning perspective. Journal of Public Policy & Marketing, 33(2), 173-187.
• Claudy, M. C., Garcia, R. ve O’Driscoll, A. (2015). Consumer resistance to innovation—a behavioral reasoning perspective. Journal of the Academy of Marketing Science, 43(4), 528-544.
• Dhir, A., Koshta, N., Goyal, R. K., Sakashita, M. ve Almotairi, M. (2021). Behavioral reasoning theory (BRT) perspectives on E-waste recycling and management. Journal of Cleaner Production, 280, 124269. https://www.sciencedirect.com/science/article/pii/S0959652620343146
• Dhir, A., Malodia, S., Awan, U., Sakashita, M. ve Kaur, P. (2021). Extended valence theory perspective on consumers'e-waste recycling intentions in Japan. Journal of Cleaner Production, 312, 127443. https://www.sciencedirect.com/science/article/pii/S0959652621016620
• Dias, P., Bernardes, A. M. ve Huda, N. (2018). Waste electrical and electronic equipment (WEEE) management: An analysis on the australian e-waste recycling scheme. Journal of cleaner production, 197, 750-764. https://www.sciencedirect.com/science/article/pii/S0959652618318110
• Dwivedy, M. ve Mittal, R. K. (2013). Willingness of residents to participate in e-waste recycling in India. Environmental Development, 6, 48-68.
• Echegaray, F. ve Hansstein, F. V. (2017). Assessing the intention-behavior gap in electronic waste recycling: the case of Brazil. Journal of Cleaner Production, 142, 180-190.
• https://www.sciencedirect.com/science/article/pii/S0959652616305285 Eryılmaz, G. A., Demiryürek, K. ve Murat, E. (2015). Avrupa Birliği ve Türkiye’de organik tarım ve gıda ürünlerine karşı tüketici davranışları. Anadolu Tarım Bilimleri Dergisi, 30(2), 199-206.
• Gao, S., Shi, J., Guo, H., Kuang, J. ve Xu, Y. (2015). An empirical study on the adoption of online household e-waste collection services in China. In Open and Big Data Management and Innovation: 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, The Netherlands, October 13-15, 2015, Proceedings 14 (pp. 36-47). Springer International Publishing
• Gupta, A., ve Arora, N. (2017a). Consumer adoption of m-banking: a behavioral reasoning theory perspective. International Journal of Bank Marketing, 35(4), 733-747.
• Gupta, A., ve Arora, N. (2017b). Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. Journal of Retailing and Consumer Services, 36, 1-7.
• İstanbul İşletme Enstitüsü. (2020, Ocak, 22) . Davranış nedir? Davranış Bilimleri Nelerdir? https://www.iienstitu.com.
• Koshta, N., Patra, S. ve Singh, S. P. (2021). Sharing economic responsibility: Assessing end user's willingness to support E-waste reverse logistics for circular economy. Journal of Cleaner Production, 130057. https://www.sciencedirect.com/science/article/pii/S0959652621042232
• Kumar, A. (2019). Exploring young adults’e-waste recycling behaviour using an extended theory of planned behaviour model: A cross-cultural study. Resources, Conservation and Recycling, 141, 378-389. https://www.sciencedirect.com/science/article/pii/S0921344918303781
• Mohamad, N. S., Thoo, A. C. ve Huam, H. T. (2022). The Determinants of Consumers’ E-Waste Recycling Behavior through the Lens of Extended Theory of Planned Behavior. Sustainability, 14(15), 9031.
• Nduneseokwu, C. K., Qu, Y. ve Appolloni, A. (2017). Factors influencing consumers’ intentions to participate in a formal e-waste collection system: A case study of Onitsha, Nigeria. Sustainability, 9(6), 881.
• Nelen, D., Manshoven, S., Peeters, J. R., Vanegas, P., D'Haese, N. ve Vrancken, K. (2014). A multidimensional indicator set to assess the benefits of WEEE material recycling. Journal of Cleaner Production, 83, 305-316. https://www.sciencedirect.com/science/article/pii/S0959652614007070
• Odabasi, Y. ve Baris, G. (2011). Tüketici davranışı. Baskı, MediaCat Yayınları, İstanbul.
• Resul, U. (2011). Üniversite öğrencilerinin mobil reklamcılığa karşı tutumları. Doğuş Üniversitesi Dergisi, 10(2), 294-309.
• Ramzan, S., Liu, C., Xu, Y., Munir, H. ve Gupta, B. (2021). The adoption of online e-waste collection platform to improve environmental sustainability: An empirical study of Chinese millennials. Management of Environmental Quality: An International Journal, 32(2), 193-209.
• Sabbir, M. M., Taufique, K. M. R. ve Nomi, M. (2023). Consumers' reverse exchange behavior and e-waste recycling to promote sustainable post-consumption behavior. Asia Pacific Journal of Marketing and Logistics, 35(10), 2484-2500.
• Sahu, A. K., Padhy, R. K. ve Dhir, A. (2020). Envisioning the future of behavioral decision-making: A systematic literature review of behavioral reasoning theory. Australasian Marketing Journal (AMJ), 28(4), 145-159.
• Sarıgül, Tuba, “Dijitalleşen Dünyanın Yeni Çevre Sorunu: E-Atıklar”. 0cak 2022’de erişildi. TÜBİTAK genç bilim. https://bilimgenc.tubitak.gov.tr/makale/dijitallesen-dunyanin-yeni-cevre-sorunu-e-atiklar
• Sarıyar, E. A., Odabasi, S. U. ve Büyükgüngör, H. (2021). Sıfır atık kapsamında atık elektrikli ve elektronik eşyaların geri kazanımı: halkın bu konudaki bilgisi. Karadeniz Fen Bilimleri Dergisi, 11(1), 257-276.
• Saunders, M., Lewis, P. ve Thornhill, A. (2003). Research methods forbusiness students. Essex: Prentice Hall: Financial Times
• Schluep, M., Hagelüken, C., Meskers, C., Magalini, F., Wang, F., Müller, E., ... ve Sonnemann, G. (2009). Market potential of innovative e-waste recycling technologies in developing countries. In R’09 World Congress, Davos, Switzerland. https://www.researchgate.net
• Sreen, N., Dhir, A., Talwar, S., Tan, T. M. ve Alharbi, F. (2021). Behavioral reasoning perspectives to brand love toward natural products: Moderating role of environmental concern and household size. Journal of Retailing and Consumer Services, 61, 102549. https://www.sciencedirect.com/science/article/pii/S0969698921001156
• Steg, L. ve Vlek, C. (2009). Encouraging pro-environmental behaviour: An integrative review and research agenda. Journal of environmental psychology, 29(3), 309-317.
• Tandon, A., Dhir, A., Kaur, P., Kushwah, S. ve Salo, J. (2020). Behavioral reasoning perspectives on organic food purchase. Appetite, 154, 104786.
• Teachers College Columbia University. (2021, Şubat). Reasoning Underlying the Roles in Dnt. https://www.tc.columbia.edu/dnl/theory/behavioral-reasoning-theory/
• Thi Thu Nguyen, H., Hung, R. J., Lee, C. H. ve Thi Thu Nguyen, H. (2018). Determinants of residents’ E-waste recycling behavioral intention: A case study from Vietnam. Sustainability, 11(1), 164.
• Toprak, A. O., Hobikoğlu, E. H., Eğri, T. ve Özdemir, Z. (2013). Elektrikli ve Elektronik Atıkların Geri Dönüşümünde Tüketici Davranışları: İstanbul Örneği. In Internatıonal Conference On Eurasıan Economıes (pp. 17-18). https://avekon.org/papers/701.pdf
• Virmani, N., Sharma, S., Kumar, A. ve Luthra, S. (2023). Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective. Technological Forecasting and Social Change, 188, 122317.
• Westaby, J. D. ve Braithwaite, K. N. (2003). Specific factors underlying reemployment self-efficacy: Comparing control belief and motivational reason methods for the recently unemployed. The Journal of Applied Behavioral Science, 39(4), 415-437.
• Westaby, J. D. (2005). Behavioral reasoning theory: Identifying new linkages underlying intentions and behavior. Organizational behavior and human decision processes, 98(2), 97-120.
• Westaby, J. D., Probst, T. M. ve Lee, B. C. (2010). Leadership decision-making: A behavioral reasoning theory analysis. The Leadership Quarterly, 21(3), 481-495.
• Widmer, R., Oswald-Krapf, H., Sinha-Khetriwal, D., Schnellmann, M. ve Böni, H. (2005). Global perspectives on e-waste. Environmental impact assessment review, 25(5), 436-458.
• Ylä-Mella, J., Keiski, R. L. ve Pongrácz, E. (2015). Electronic waste recovery in Finland: Consumers’ perceptions towards recycling and re-use of mobile phones. Waste management, 45, 374-384.
• Zeng, X., Song, Q., Li, J., Yuan, W., Duan, H. ve Liu, L. (2015). Solving e-waste problem using an integrated mobile recycling plant. Journal of cleaner production, 90, 55-59.
• Zhang, X., Bai, X. ve Shang, J. (2018). Is subsidized electric vehicles adoption sustainable: Consumers’ perceptions and motivation toward incentive policies, environmental benefits, and risks. Journal of Cleaner Production, 192, 71-79.
• Zhang, B., Du, Z., Wang, B. ve Wang, Z. (2019). Motivation and challenges for e-commerce in e-waste recycling under “Big data” context: a perspective from household willingness in China. Technological Forecasting and Social Change, 144, 436-444. https://www.sciencedirect.com/science/article/pii/S0040162517313501