Aysun Yener Ögür, Türkşan Karatekin, Fatma Doğançukuru

Media Usage Purposes of Farmers in Selçuklu District of Konya Province

The aim of this study is to determine the purpose of social media usage of farmers in Selçuklu district of Konya province. The sample volume was determined as 80 according to the stratified random sampling method, with a 95% confidence interval and with a 5% margin of error. Factor analysis was conducted to determine the farmers’ social media usage purposes. Factor analysis was conducted on 19 independent variables and 3 independent variables were identified to determine the reasons for using social media. These variables are called professional development, socialization, and communication. The relationship between professional development, socialization, and communication variables and social media platforms was determined by linear regression analysis. For platforms used for socialization purposes, it was found that Facebook was statistically significant at 1% and Instagram was 5%. According to the regression analysis, platforms used for vocational development purposes, it was found that WhatsApp was statistically significant at 1% and YouTube was 5%. In social media, training, extension, projects, and promotions should be more widely supported in order to support the professional training of enterprises. In addition, pieces of training should be provided for enterprises to use social media platforms more effectively

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Anonymous 2019a. The Power of social media in Agriculture: A Guide to Success in social media, http://animalagalliance.org/images//images/ upload/ Social%20 Media%20Manual.pdf (Accessed date: 10/02/2019).
Anonymous 2019b. Digital in 2019, https://wearesocial.com/ global-digital-report-2019 (Accessed date: 10/02/2019).
Anonymous 2019c. “Demografik Durum”, http://www. konyadayatirim.gov.tr/konya.asp?SayfaID=3 (Accessed date: 10/02/2019).
Aoyama H. 1954. A study of stratified random sampling. Ann. Inst. Stat. Math, 6: 1-36.
Balkrishna B, Deshmukh A. 2017. “A Study on Role of Social Media in Agriculture Marketing and its Scope”, Global Journal of Management and Business Research:E Marketing, Volume 17, Issue 1, Global Journals Inc., USA.
Banks S, Goodyear P, Hodgson V, McConnell D. 2003. “Introduction to the Special Issue on Advances in Research on Networked Learning.” Instructoinal Science 31(1): 1–6.
Below TB, Mutabazi KD, Kirschke D, Franke C, Sieber S, Siebert R, Tscherning K. 2012. Can farmers’ adaptation to climate change be explained by socio-economic household-level variables? Global Environmental Change, 22(1): 223-235.
Boz İ, Akbay C, Orhan E, Candemir S. 2004. Çiftçilerin Tarımsal Faaliyetlerde Kullandıkları Bilgi Kaynaklarının Belirlenmesi ve Tarımsal Yayım Açısından Değerlendirilmesi. Türkiye VI. Tarım Ekonomisi Kongresi, 16-18 Eylül 2014, Tokat.
Büyükbay EO, Gündüz O. 2011. An Investigation on Computer and Internet Use for Agricultural Development in Rural Areas: A Case Study for Tokat Province in Turkey. African Journal of Biotechnology, 10 (56): 11879-11886.
Carvalho L, Goodyear P. 2014. The architecture of productive learning networks. Routledge.
Cronbach LJ. 1951. Coefficient alpha and the internal structure of tests. Psychometrika. 16:297-334.
Danso-Abbeam G, Ehiakpor DS, Aidoo R. 2018. Agricultural extension and its effects on farm productivity and income: insight from Northern Ghana. Agriculture and Food Security, 7(1): 1-10.
Dawson B, Trap RG. 2004. Basic and Clinical Biostatistics, Lange Medical Books/McGraw-Hill, Third Edition, 312.
Digital 2020. https://wearesocial-net.s3-eu-west-1.amazonaws. com/wp-content/uploads/common/reports/digital- 2020/digital-2020-global.pdf (Accessed date: 10/02/2021).
Dirckinck-Holmfeld L, Jones C, Lindström B. 2009. Analysing Networked Learning Practices in Higher Education and Continuing Professional Development (Technology Enhanced Learning Vol. 4). Rotterdam, The Netherlands: Sense Publishers.
Erdoğan İ. 1997. İşletmelerde Davranış, İstanbul Üniversitesi İşletme Fakültesi Yayın No: 272, İstanbul.
Everest B, Yavaş A, Tatar E, Acar İ, Çakar F. 2019. Çiftçilerin Kooperatifçilik eğitimi alma isteğini etkileyen faktörler: Çanakkale ili örneği. Anadolu Tarım Bilimleri Dergisi, 34(1): 40-46.
Goodyear P, Carvalho, L. 2013. “The Analysis of Complex Learning Environments.” In Rethinking Pedagogy for a Digital Age: Designing for 21st Century Learning, edited by H. Beetham and R. Sharpe, 49–63. New York, NY: Routledge.
Gujarati DN. 2009. Basic Econometrics. Tata McGraw-Hill Education.
Gül A. 1995. Sulamanın GAP Alanında Tarım Sektöründe Üretim Yapısı, Girdi Kullanımı, Verimlilik ve İşletme Gelirleri Üzerine Etkileri, Çukurova Üniversitesi Fen Bilimleri Enstitüsü Tarım Ekonomisi Anabilim Dalı, Yayınlanmamış Doktora Tezi, Adana.
Güneş T, Arıkan R. 1985. Agricultural Economics Statistics. Ankara University Faculty of Agriculture Journal, 924.
Han H, Xiong J, Zhao K. 2021. Digital inclusion in social media marketing adoption: the role of product suitability in the agriculture sector. Information Systems and e-Business Management, 1-27.
Harniati H, Anwarudin O. 2018. The interest and action of young agricultural entrepreneur on agribusiness in Cianjur Regency, West Java. Jurnal Penyuluhan, 14(2).
Hawley JL, Hall K, Chowdhury A. 2018. Agricultural Communicators’ Use of Mobile Devices and social media in USA. Rural Extension and Innovation Systems Journal, 14(1): 101.
Johnson RA, Wichern DW.1992. Applied Multivariate Statistical Analysis. New Jersey, Prentice-Hall Inc, 396-397.
Kalaycı Ş. 2014. SPSS uygulamalı çok değişkenli istatistik teknikleri. Ankara: Asil Yayınları.
Kanjina S. 2021. Farmers’ Use of social media and its Implications for Agricultural Extension: Evidence from Thailand. Asian Journal of Agriculture and Rural Development, 11(4): 302-310.
Kassem HS, Alotaibi BA, Muddassir M. Herab A. 2021. Factors influencing farmers’ satisfaction with the quality of agricultural extension services. Evaluation and Program Planning, 85: 101912.
Kelly N, Bennett JM, Starasts A. 2017. Networked learning for agricultural extension: a framework for analysis and two cases. The Journal of Agricultural Education and Extension, 23(5): 399-414.
Khan GA, Muhammad S, Chaudhry KM, Khan MA. 2010. Present status and future preferences of electronic media as agricultural information sources by the farmers. Pakistan Journal of Agricultural Sciences, 47(2): 166–172.
Kwon O, Lee J, Jeong D, Lee JH. 2018. A Study on the Development of Fruit Tree Experience Programs Based on User Segmentation. Journal of Environmental Science International, 27(10): 865-874.
Last JM. 2001. A Dictionary of Epidemiology, Fourth Edition, Oxford University Press,43.
Naveed MA, Anwar MA, Bano S. 2012. Information seeking by Pakistani farmers: A review of published research. Pakistan Journal of Information Management and Libraries, 13(1).
Ofori M, El-Gayar O. 2019. The State and Future of Smart Agriculture: Insights from mining social media. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 5152- 5161). IEEE.
Pradhan K, Saha A, Maity B, Ram K. 2020. Utilization Potential of Agricultural Informatıon Sources. Journal of Plant Development Sciences Vol, 12(5): 297-301.
Preston K. 2018. How to Set. a Realistic Social Media Advertising Budget, https://www.webstrategiesinc.com/ blog/how-to-set-a-realistic-social-advertising-budget (Accessed date:10.02.2019).
Raju JK. 2016. International Journal of Engineering Sciences and Research Technology Role of Facilities in Agribusiness Supply Chain Management: A Case Study of Dry Chilli Farmers. ISSN: 2277-9655.
Raju JK. 2017. Global Journal of Engineering Science and Research Management.
Riley M, Robertson B. 2021. # farming365–Exploring farmers’ social media use and the (re) presentation of farming lives. Journal of Rural Studies, 87: 99-111.
Soylu D, Cevher N, Schirone M, Medeni T. 2016. A comparative study of information-seeking behavior and digital information needs of farmers in Turkey and Sweden. International journal of ebusiness and eGovernment studies, 8(2): 18-33.
Statista 2019. Social Media Statistics and Facts, https://www.statista.com/ topics/1164/social-networks/ (Accessed date: 10/02/2019).
Tamuliene V. 2014. Project activities in Silale District Municipality. Research For Rural Development, 2: 266. Tekbaş N. 2014. Üniversite Öğrencilerinin Sosyal Ağları Kullanımlarına Yönelik Bir Araştırma, Journal of History School (JOHS), 7(17): 851-870
Thakur D, Chander M, Sinha SK. 2017. A scale to measure attitude of farmers towards social media use in agricultural extension. Indian Research Journal of Extension Education, 17(3): 10-15.
Tiraieyari N, Idris K, Hamzah A, Uli J. 2010. ‘Importance of program development competencies for agricultural extension agents’ performance in process of technology transfer.’’ American Journal of Agricultural and Biological Sciences, 5(3): 376-379.
TÜBİSAD, 2018. Türkiye’de E-Ticaret 2017 Pazar Büyüklüğü, http://www.tubisad.org.tr/tr/images/pdf/tubisad_2018_e- ticaret_sunum_tr.pdf (Accesseddate: 10.02.2019).
TURKSTAT, 2019a. http://www.tuik.gov.tr/PreTablo.do?alt_ id=1028 (Accessed date: 10.02.2019).
TURKSTAT, 2019b. https://biruni.tuik.gov.tr/medas/?kn=95& locale=tr (Accessed date: 08.02.2020).
TURKSTAT, 2019c. https://biruni.tuik.gov.tr/medas/?kn=65& locale=tr (Accessed date: 08.02.2020).
Yamane T. 1967. Elementary Sampling TheoryTaro Yamane No. 04; QA276. 5, Y3.
Yener A. 2017. Konya İlinde Süt Sığırcılığı Yapan Aile İşletmelerinde Yeniliklerin Benimsenmesi ve Yayılmasına Etki Eden Faktörler, Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Tarım ekonomisi Anabilim Dalı, Doktora Tezi, 140 sy.