Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, , 486 - 505, 31.10.2020
https://doi.org/10.21547/jss.785032

Öz

Kaynakça

  • Aghdaie, S. F., Piraman, A., ve Fathi, S. (2011). An Analysis of Factors Affecting the Consumer's Attitude of Trust and their Impact on Internet Purchasing Behaviour. International Journal of Business and Social Science, 2(23), 147-158.
  • Aharony, N. (2014). Mobile Libraries: Librarians’ and Students’ Perspectives. College & Research Libraries, 75(2), 202-217.
  • Ahn, T., Ryu, S., ve Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.
  • Alam, S. S., ve Yasin, N. M. (2010). An Investigation into the Antecedents of Customer Satisfaction of Online Shopping. Journal of Marketing Development and Competitiveness, 5(1), 71-78.
  • Ali, F., Dey, B. L., ve Filieri, R. (2015). An assessment of service quality and resulting customer satisfaction in Pakistan International Airlines: Findings from foreigners and overseas Pakistani customers. International Journal of Quality & Reliability Management, 32(1), 486-502.
  • Anderson, R. E., ve Karunamoorthy, S. (2003). E-Satisfaction and E-Loyalty: A Contingency Framework. Psychology and Marketing, 20(2), 123-138.
  • Bankalararası Kart Merkezi. (2020). https://bkm.com.tr/. https://bkm.com.tr/mektupla-telefonla-siparis-ve-e-ticaret-islemleri/ adresinden alındı.
  • Bansal, H. S., Irving, P. G., ve Taylor, S. F. (2004). A Three-Component Model of Customer to Service Providers. Journal of the Academy of Marketing Science, 32(3), 234-250.
  • Bigné‐Alcañiz, E., Ruiz‐Mafé, C., Aldás‐Manzano, J., ve Sanz‐Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review, 32(5), 648-667.
  • Bults, M., Beaujean, D. J., Zwart, O. D., Kok, G., Empelen, P. V., Steenbergen, J. E., Richardus, J. H., ve Voeten, H. A. (2011). Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys. BMC Public Health, 11(2), 1-13.
  • Burnham, T., Frels, J., ve Mahajan, V. (2003). Consumer Switching Costs: A Typology, Antecedents, and Consequences. Journal of the Academy of Marketing Science, 31(2), 109-206.
  • Chen, L.-D., Gillenson, M. L., ve Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.
  • Crespo, Á. H., ve Bosque, I. R. (2008). The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Computers in Human Behavior, 24(6), 2830-2847.
  • Crosby, L. A., ve Stephens, N. (1987). Effects of Relationship Marketing on Satisfaction, Retention, and Prices in the Life Insurance Industry. Journal of Marketing Research, 24(4), 404-411.
  • Dai, Y., Viken, G., Joo, E., ve Bente, G. (2018). Risk assessment in e-commerce: How sellers' photos, reputation scores, and the stake of a transaction influence buyers' purchase behavior and information processing. Computers in Human Behavior, 84(1), 342-351.
  • Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
  • Davis, F. D., Bagozzi, R. P., ve Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
  • De, R., Pandey, N., ve Pal, A. (2020). Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice. International Journal of Information Management, 102171.
  • Egea, J. M., ve González, M. V. (2011). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in Human Behavior, 27(1), 319-332.
  • E-Ticaret Bilgi Platformu. (2020). https://www.eticaret.gov.tr/. https://www.eticaret.gov.tr/cevrimiciegitim/sayilarla-dunyada-e-ticaret-21 adresinden alındı.
  • Farooq, M. S., Salam, M., Fayolle, A., Jaafar, N., ve Ayupp, K. (2018). Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach. Journal of Air Transport Management, 67(1), 169-180.
  • Garbarino, E., ve Johnson, M. S. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63(2), 70-87.
  • George, A., ve Kumar, G. G. (2013). Antecedents of Customer Satisfaction In Internet Banking: Technology Acceptance Model (TAM) Redefined. Global Business Review, 14(4), 627-638.
  • Hallikainen, H., ve Laukkanen, T. (2018). National culture and consumer trust in e-commerce. International Journal of Information Management, 38(1), 97-106.
  • Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., ve Tabar, M. J. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62-78.
  • Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling.
  • He, D., Lu, Y., ve Zhou, D. (2008). Empirical Study of Consumers' Purchase Intentions in C2C Electronic Commerce. Tsinghua Science & Technology, 13(3), 287-292.
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., ve Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52.
  • Hernández, B., Jiménez-Martínez, J., ve Martín, M. J. (2011). Age, gender and income: Do they really moderate online shopping behaviour? Online Information Review, 35(1), 113-133.
  • Hubert, M., Blut, M., Brock, C., Backhaus, C., ve Eberhardt, T. (2017). Acceptance of Smartphone‐Based Mobile Shopping: Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context. Psychology & Marketing, 34(2), 175-194.
  • Izogo, E. E., ve Ogba, I.-E. (2015). Service quality, customer satisfaction and loyalty in automobile repair services sector. International Journal of Quality & Reliability Management, 32(1), 250-269.
  • Jang, H. Y., ve Noh, M. J. (2011). Customer acceptance of IPTV service quality. International Journal of Information Management, 31(1), 582-592.
  • Jeong, H. (2011). An investigation of user perceptions and behavioral intentions towards the e-library. Library Collections, Acquisitions, and Technical Services, 35(2), 45-60.
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  • Keaveney, S. M., ve Parthasarathy, M. (2001). Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors. Journal of the Academy of Marketing Science, 29(4), 374-390.
  • Kim, C., Tao, W., Shin, N., ve Kim, K.-S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84-95.
  • Kim, H., ve Song, J. H. (2010). The quality of word-of-mouth in the online shopping mall. Journal of Research in Interactive Marketing, 4(4), 376-390.
  • King, S. F., ve Liou, J.-S. (2004). A framework for internet channel evaluation. International Journal of Information Management, 24(6), 473-488.
  • Koenig-Lewis, N., Marquet, M., Palmer, A., ve Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537-554.
  • Laohapensang, O. (2009). Factors influencing internet shopping behaviour: A survey of consumers in Thailand. Journal of Fashion Marketing and Management, 13(4), 501-513.
  • Lee, W.-I., Cheng, S.-Y., ve Shih, Y.-T. (2017). Effects among product attributes, involvement, word-of-mouth, and purchase intention in online shopping. Asia Pacific Management Review, 22(1), 223-229.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., ve Muñoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151-166.
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  • Liu, Y., Yingxin, S., Sun, J., Sun, C., Liu, C., ve Chen, X. (2020). Understanding the relationship between food experiential quality and customer dining satisfaction: A perspective on negative bias. International Journal of Hospitality Management, 87(1), 102381.
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ONLİNE MARKET ALIŞVERİŞİNİN (KURU GIDA, YAŞ MEYVE SEBZE VE PAKETLİ GIDA ÜRÜNLERİ VB.) BENİMSENMESİ: COVID-19 ANKSİYETESİNİN DÜZENLEYİCİ ROLÜ

Yıl 2020, , 486 - 505, 31.10.2020
https://doi.org/10.21547/jss.785032

Öz

Covid-19 kaynaklı yaşanan pandemi sürecinin online ticaret hacmi ve tutarı üzerinde yaratmış olduğu etkinin yanı sıra gündelik hayata getirdiği kısıtlamalar ve oluşturduğu kaygı bozuklukları (anksiyete) bu çalışmanın ana motivasyon kaynaklarını oluşturmaktadır. Çalışma tüketicilerin, özellikle kuru gıda, yaş meyve, sebze ve paketli gıda ürünleri gibi kategorilerde yapmış oldukları online market alışverişlerine odaklanmaktadır. Çalışmanın ana amacı; tüketicilerin, algılanan kullanışlılık, kullanım kolaylığı, güvenlik, bilgi kullanılabilirliği, teslimat, fiyatlama ve zaman kazanma algılarının online alışveriş tutumu, memnuniyeti ve satın alma niyeti üzerine etkisini açığa çıkarmak ve bu değişkenler arası ilişkilerde Covid-19 anksiyetesinin düzenleyici rolünü belirlemektir. Çalışmada araştırma hipotezlerini test etmek amacıyla kolayda örneklem yöntemi kullanılarak 251 adet tüketiciden anket ile veriler toplanmıştır. Araştırma sonuçları, online bakkaliye ürünlerinin satın alınmasında web sitesi üzerinde verilen bilgilerin güvenilir ve geçerli olmasının yanı sıra, tüketiciye fiyat avantajı sağlamasının hem memnuniyet, hem de tutum için en önemli değişkenler olduğunu göstermiştir. Anksiyetenin düzenleyici rolü de araştırma da sınırlı olarak bazı değişkenlerde bulgulanmıştır.

Kaynakça

  • Aghdaie, S. F., Piraman, A., ve Fathi, S. (2011). An Analysis of Factors Affecting the Consumer's Attitude of Trust and their Impact on Internet Purchasing Behaviour. International Journal of Business and Social Science, 2(23), 147-158.
  • Aharony, N. (2014). Mobile Libraries: Librarians’ and Students’ Perspectives. College & Research Libraries, 75(2), 202-217.
  • Ahn, T., Ryu, S., ve Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.
  • Alam, S. S., ve Yasin, N. M. (2010). An Investigation into the Antecedents of Customer Satisfaction of Online Shopping. Journal of Marketing Development and Competitiveness, 5(1), 71-78.
  • Ali, F., Dey, B. L., ve Filieri, R. (2015). An assessment of service quality and resulting customer satisfaction in Pakistan International Airlines: Findings from foreigners and overseas Pakistani customers. International Journal of Quality & Reliability Management, 32(1), 486-502.
  • Anderson, R. E., ve Karunamoorthy, S. (2003). E-Satisfaction and E-Loyalty: A Contingency Framework. Psychology and Marketing, 20(2), 123-138.
  • Bankalararası Kart Merkezi. (2020). https://bkm.com.tr/. https://bkm.com.tr/mektupla-telefonla-siparis-ve-e-ticaret-islemleri/ adresinden alındı.
  • Bansal, H. S., Irving, P. G., ve Taylor, S. F. (2004). A Three-Component Model of Customer to Service Providers. Journal of the Academy of Marketing Science, 32(3), 234-250.
  • Bigné‐Alcañiz, E., Ruiz‐Mafé, C., Aldás‐Manzano, J., ve Sanz‐Blas, S. (2008). Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review, 32(5), 648-667.
  • Bults, M., Beaujean, D. J., Zwart, O. D., Kok, G., Empelen, P. V., Steenbergen, J. E., Richardus, J. H., ve Voeten, H. A. (2011). Perceived risk, anxiety, and behavioural responses of the general public during the early phase of the Influenza A (H1N1) pandemic in the Netherlands: results of three consecutive online surveys. BMC Public Health, 11(2), 1-13.
  • Burnham, T., Frels, J., ve Mahajan, V. (2003). Consumer Switching Costs: A Typology, Antecedents, and Consequences. Journal of the Academy of Marketing Science, 31(2), 109-206.
  • Chen, L.-D., Gillenson, M. L., ve Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & Management, 39(8), 705-719.
  • Crespo, Á. H., ve Bosque, I. R. (2008). The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Computers in Human Behavior, 24(6), 2830-2847.
  • Crosby, L. A., ve Stephens, N. (1987). Effects of Relationship Marketing on Satisfaction, Retention, and Prices in the Life Insurance Industry. Journal of Marketing Research, 24(4), 404-411.
  • Dai, Y., Viken, G., Joo, E., ve Bente, G. (2018). Risk assessment in e-commerce: How sellers' photos, reputation scores, and the stake of a transaction influence buyers' purchase behavior and information processing. Computers in Human Behavior, 84(1), 342-351.
  • Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
  • Davis, F. D., Bagozzi, R. P., ve Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
  • De, R., Pandey, N., ve Pal, A. (2020). Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice. International Journal of Information Management, 102171.
  • Egea, J. M., ve González, M. V. (2011). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in Human Behavior, 27(1), 319-332.
  • E-Ticaret Bilgi Platformu. (2020). https://www.eticaret.gov.tr/. https://www.eticaret.gov.tr/cevrimiciegitim/sayilarla-dunyada-e-ticaret-21 adresinden alındı.
  • Farooq, M. S., Salam, M., Fayolle, A., Jaafar, N., ve Ayupp, K. (2018). Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach. Journal of Air Transport Management, 67(1), 169-180.
  • Garbarino, E., ve Johnson, M. S. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63(2), 70-87.
  • George, A., ve Kumar, G. G. (2013). Antecedents of Customer Satisfaction In Internet Banking: Technology Acceptance Model (TAM) Redefined. Global Business Review, 14(4), 627-638.
  • Hallikainen, H., ve Laukkanen, T. (2018). National culture and consumer trust in e-commerce. International Journal of Information Management, 38(1), 97-106.
  • Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., ve Tabar, M. J. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62-78.
  • Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling.
  • He, D., Lu, Y., ve Zhou, D. (2008). Empirical Study of Consumers' Purchase Intentions in C2C Electronic Commerce. Tsinghua Science & Technology, 13(3), 287-292.
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., ve Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38-52.
  • Hernández, B., Jiménez-Martínez, J., ve Martín, M. J. (2011). Age, gender and income: Do they really moderate online shopping behaviour? Online Information Review, 35(1), 113-133.
  • Hubert, M., Blut, M., Brock, C., Backhaus, C., ve Eberhardt, T. (2017). Acceptance of Smartphone‐Based Mobile Shopping: Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context. Psychology & Marketing, 34(2), 175-194.
  • Izogo, E. E., ve Ogba, I.-E. (2015). Service quality, customer satisfaction and loyalty in automobile repair services sector. International Journal of Quality & Reliability Management, 32(1), 250-269.
  • Jang, H. Y., ve Noh, M. J. (2011). Customer acceptance of IPTV service quality. International Journal of Information Management, 31(1), 582-592.
  • Jeong, H. (2011). An investigation of user perceptions and behavioral intentions towards the e-library. Library Collections, Acquisitions, and Technical Services, 35(2), 45-60.
  • Jones, M. A., Mothersbaugh, D. L., ve Beatty, S. E. (2002). Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research, 55(6), 441-450.
  • Joo, S., ve Choi, N. (2015). Factors affecting undergraduates’ selection of online library resources in academic tasks: Usefulness, ease-of-use, resource quality, and individual differences. Library Hi Tech, 33(2), 272-291.
  • Keaveney, S. M., ve Parthasarathy, M. (2001). Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors. Journal of the Academy of Marketing Science, 29(4), 374-390.
  • Kim, C., Tao, W., Shin, N., ve Kim, K.-S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84-95.
  • Kim, H., ve Song, J. H. (2010). The quality of word-of-mouth in the online shopping mall. Journal of Research in Interactive Marketing, 4(4), 376-390.
  • King, S. F., ve Liou, J.-S. (2004). A framework for internet channel evaluation. International Journal of Information Management, 24(6), 473-488.
  • Koenig-Lewis, N., Marquet, M., Palmer, A., ve Zhao, A. L. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537-554.
  • Laohapensang, O. (2009). Factors influencing internet shopping behaviour: A survey of consumers in Thailand. Journal of Fashion Marketing and Management, 13(4), 501-513.
  • Lee, W.-I., Cheng, S.-Y., ve Shih, Y.-T. (2017). Effects among product attributes, involvement, word-of-mouth, and purchase intention in online shopping. Asia Pacific Management Review, 22(1), 223-229.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., ve Muñoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151-166.
  • Liu, Y., Chen, D. Q., ve Gao, W. (2020). How does customer orientation (in) congruence affect B2B electronic commerce platform firms' performance? Industrial Marketing Management, 87(1), 18-30.
  • Liu, Y., Yingxin, S., Sun, J., Sun, C., Liu, C., ve Chen, X. (2020). Understanding the relationship between food experiential quality and customer dining satisfaction: A perspective on negative bias. International Journal of Hospitality Management, 87(1), 102381.
  • Lu, Y., Cao, Y., Wang, B., ve Yang, S. (2011). A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior, 27(1), 355-364.
  • Mainardes, E. W., Souza, I. M., ve Correia, R. D. (2020). Antecedents and consequents of consumers not adopting e-commerce. Journal of Retailing and Consumer Services, 55(1), 102138.
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  • Miller, J., ve Khera, O. (2010). Digital Library Adoption and the Technology Acceptance Model: A Cross-Country Analysis. Electronic Journal of Information Systems in Developing Countries, 40(6), 1-19.
  • Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., ve Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78(1), 185-193.
  • Oliveira, T., Thomas, M., Baptista, G., ve Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(1), 404-414.
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  • Pham, T.-T. T., ve Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43(1), 159-172.
  • Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., ve Bashir, A. K. (2020). Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM). Computers & Education, 145(1), 103732.
  • Rafique, H., Anwer, F., Shamim, A., Minaei-Bidgoli, B., Qureshi, M. A., ve Shamshirband, S. (2018). Factors Affecting Acceptance of Mobile Library Applications: Structural Equation Model. Libri - International Journal of Libraries and Information Studies, 68(2), 99-112.
  • Ranganathan, C., ve Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465.
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  • Schmidthuber, L., Maresch, D., ve Ginner, M. (2020). Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model. Technological Forecasting & Social Change, 155(1), 119328.
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  • Venkatesh, V., ve Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
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  • Wu, J.-H., ve Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729.
  • Wu, K., Zhao, Y., Zhu, Q., Tan, X., ve Zheng, H. (2011). A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type. International Journal of Information Management, 31(1), 572-581.
  • Wu, L.-Y., Chen, K.-Y., Chen, P.-Y., ve Cheng, S.-L. (2014). Perceived value, transaction cost, and repurchase-intention in online shopping:A relational exchange perspective. Journal of Business Research, 67(1), 2768-2776.
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  • Yoon, H.-Y. (2016). User Acceptance of Mobile Library Applications in Academic Libraries: An Application of the Technology Acceptance Model. The Journal of Academic Librarianship, 42(6), 687-693.
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  • Zha, X., Zhang, J., ve Yan, Y. (2015). Comparing digital libraries in the Web and mobile context from the perspective of the digital divide. Journal of Librarianship and Information Science, 47(4), 330-340.
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  • Zhao, Y., Deng, S., ve Zhou, R. (2015). Understanding Mobile Library Apps Continuance Usage in China: A Theoretical Framework and Empirical Study. Libri - International Journal of Libraries and Information Studies, 65(3), 161-173.
Toplam 82 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finans
Bölüm İşletme Finans
Yazarlar

Emrah Sitki Yılmaz 0000-0003-2741-4222

Hanifi Murat Mutlu 0000-0001-9757-6708

Yayımlanma Tarihi 31 Ekim 2020
Gönderilme Tarihi 25 Ağustos 2020
Kabul Tarihi 13 Ekim 2020
Yayımlandığı Sayı Yıl 2020

Kaynak Göster

APA Yılmaz, E. S., & Mutlu, H. M. (2020). ONLİNE MARKET ALIŞVERİŞİNİN (KURU GIDA, YAŞ MEYVE SEBZE VE PAKETLİ GIDA ÜRÜNLERİ VB.) BENİMSENMESİ: COVID-19 ANKSİYETESİNİN DÜZENLEYİCİ ROLÜ. Gaziantep Üniversitesi Sosyal Bilimler Dergisi, 19(COVID-19 Special Issue), 486-505. https://doi.org/10.21547/jss.785032