Araştırma Makalesi
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COVID-19 Pandemisi Döneminde Çalışan Kadınların Öznel İyi Oluşlarının Çevrimiçi Alışveriş Bağımlılıklarına Etkisi

Yıl 2022, Cilt: 12 Sayı: 3, 432 - 439, 20.09.2022
https://doi.org/10.33631/sabd.1102518

Öz

Amaç: COVID-19 pandemisinin özellikle ilk yılı içerisinde evde ve internette geçirilen zaman artmış, sosyal aktiviteler azalmış ve bu sürece çeşitli ruhsal sorunlar da eşlik etmiştir. Bu çalışma ile COVID-19 salgını sırasında çalışan kadınların öznel iyi oluşlarının çevrimiçi alışveriş bağımlılığı durumları üzerindeki etkisinin araştırılması amaçlanmıştır.
Gereç ve Yöntemler: Bu çalışmanın örneklemini sigortalı bir işte çalışan toplam 538 kadın oluşturmuştur. Araştırma verileri, sosyo demografik bilgi formu, Öznel İyi Oluş Ölçeği ve Çevrimiçi Alışveriş Bağımlılığı Ölçeği kullanılarak çevrimiçi platform üzerinden toplanmıştır. Verilerin istatistiksel analizleri IBM Sosyal Bilimler İçin İstatistik Programı (SPSS) 25.0 ve Jeffrey’ nin Harika İstatistik Programı (JASP) 0.1.4.0 kullanılarak yapılmıştır. Araştırma verilerinin tanımlayıcı istatistiksel testleri; frekans, yüzde, ortalama ve standart sapma değerleri ile sunulmuştur. Ayrıca, değişkenler arasındaki ilişkiyi incelemek için kısmi korelasyon analizi ve enter yöntemi ile çoklu doğrusal regresyon analizi yapılmıştır.
Bulgular: Katılımcıların öznel iyi oluşlarının çevrimiçi alışveriş bağımlılığı düzeylerini genel olarak ve ayrıca çevrimiçi alışveriş bağımlılığına ait alt boyut düzeylerini yordadığı bulunmuştur. Çevrimiçi alışveriş bağımlılığındaki varyansın %16,4' ünün, duygusal bağımlılık boyutundaki varyansın %17,1' inin, sosyal bağımlılık boyutundaki varyansın %15,3' ünün ve kontrol bağımlılığı boyutundaki varyansın ise sadece %10,1' inin öznel iyi oluş ile açıklandığı görülmektedir.
Sonuç: Araştırma sonuçlarına göre çalışan kadınların COVID-19 salgını sırasında öznel iyi oluşlarını artırmak için çevrimiçi alışverişe yöneldikleri söylenebilir.

Kaynakça

  • Gül H, Ünlü Y, Pekel A. Examination of the relationship between subjective well-being and empathic tendency levels for university students. Journal of Social and Humanities Sciences Research. 2017; 4(15): 1861-5.
  • Gencer N. Subjective well-being: a general overview. Hitit University Journal of Social Sciences Institute 2018; 11(3): 2621-38. https://doi.org/10.17218/hititsosbil.457382
  • Diener E, Pressman SD, Hunter J, & Delgadillo-Chase D. If, Why, and When Subjective Well-Being Influences Health, and Future Needed Research. Applied psychology. Health and Well-being. 2017; 9(2), 133-67. https://doi.org/10.1111/aphw.12090
  • Tosun LP. Use of social networking sites and subjective well-being. Current Approaches in Psychiatry. 2019; 11(3): 304-17. https://doi.org/10.18863/pgy.468532
  • Arslan G. Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. Computers in Human Behavior. 2017; 72: 57-66. https://doi.org/10.1016/j.chb.2017.02.037
  • Savcı M, Aysan F. Technological addictions and social connectedness: predictor effect of internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectedness. Journal of Psychiatry and Neurological Sciences. 2017; 30(3): 202-16. https://doi.org/10.5350/DAJPN2017300304
  • Kartal T. Turkish validity and reliability study of the online shopping addiction scale. Medical Specialty Thesis. Erzurum: Atatürk University Health Science Institute; 2018.
  • Moulding R, Duong A, Nedeljkovic M, Kyrios M. Do you think that money can buy happiness? A review of the role of mood, materialism, self, and cognitions in compulsive buying. Current Addiction Reports. 2017; 4(3): 254-61. https://doi.org/10.1007/s40429-017-0154-y
  • Müller A, Mitchell JE, & de Zwaan M. Compulsive buying. The American Journal on Addictions. 2015; 24(2): 132-137. https://doi.org/10.1111/ajad.12111
  • Trotzke P, Brand M, Starcke K. Cue-reactivity, craving, and decision making in buying disorder: A review of the current knowledge and future directions. Current Addiction Reports. 2017; 4(3): 246-53. https://doi.org/10.1007/s40429-017-0155-x
  • Jasmine CA. Impacts of COVID-19 on company and efforts to support organization adaptability. 2020; SSRN 3590726. http://dx.doi.org/10.2139/ssrn.3590726
  • Akın A. The relationships between Internet addiction, subjective vitality, and subjective happiness. Cyberpsychology, Behavior and Social Networking.2012;15(8):404-10. https://doi.org/10.1089/cyber.2011.0609
  • Kabasakal Z. Life satisfaction and family functions as-predictors of problematic internet use in university students. Computers in Human. Behavior. 2015; 53: 294-304. https://doi.org/10.1016/j.chb.2015.07.019
  • Baş AU, Soysal F, Aysan F. Relationship of problematic internet usage to psychological well-being and social support in college students. Itobiad: Journal of the Human & Social Science Researches. 2016; 5(4): 1035-46.
  • Atroszko PA, Balcerowska JM, Bereznowski P, Biernatowska A, Pallesen S, & Andreassen CS. Facebook addiction among polish undergraduate students: Validity of measurement and relationship with personality and well-being. Computers in Human Behavior. 2018; 85: 329-38 .https://doi.org/10.1016/j.chb.2018.04.001
  • Lachmann B, Sariyska R, Kannen C, Cooper A, & Montag C. Life satisfaction and problematic Internet use: Evidence for gender specific effects. Psychiatry Research. 2016; 238: 363-67. https://doi.org/10.1016/j.psychres.2016.02.017
  • Fioravanti G, Prostamo A, & Casale S. Taking a Short Break from Instagram: The Effects on Subjective Well-Being. Cyberpsychology, Behavior and Social Networking. 2020; 23(2): 107-12. https://doi.org/10.1089/cyber.2019.0400
  • Maraz A, Griffiths MD, & Demetrovics Z. The prevalence of compulsive buying: a meta-analysis. Addiction. 2016; 111(3): 408-19. https://doi.org/10.1111/add.13223
  • Hasan B. Exploring gender differences in online shopping attitude. Computers in Human Behavior. 2010; 26(4): 597-601.
  • Marangoz M, Özkoç HH, & Aydın EA. A Research on Consumers’ Internet Shopping Behaviors. Journal of Consumer and Consumption Research. 2019; 11(1): 1-22
  • Cohen J. Statistical Power Analysis for The Behavioral Science. Hillsdale: Lawrence Erlbaum Associates 1988.
  • Horwood S, & Anglim J. Problematic smartphone usage and subjective and psychological well-being. Computers in Human Behavior. 2019; 97: 44-50. https://doi.org/10.1016/j.chb.2019.02.028
  • Özçelik AB, Gegez EE, & Burnaz Ş. Mobile internet, consumer materialism, and compulsive buying: an examination of the moderating role of shopping motivations, Journal of Theory and Practice in Marketing. 2017; 3(2): 1-20.
  • Tuzgol-Dost M. Developing a subjective well-being scale: validity and reliability studies. Turkish Psychological Counseling and Guidance Journal. 2005; 3(23): 103-10.
  • Zhao H, Tian W, Xin T. The development and validation of the online shopping addiction scale. frontiers in psychology. 2017; 8: 735. https://doi.org/10.3389/fpsyg.2017.00735
  • Tabachnick BG, Fidell LS, Ullman JB. Using multivariate statistics. 2007; 5: 481-98. Boston, MA: Pearson.
  • George D. SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India, 2011.
  • Malone C, & Wachholtz A. The Relationship of Anxiety and Depression to Subjective Well-Being in a Mainland Chinese Sample. Journal of Religion and Health. 2018; 57(1): 266-78. https://doi.org/10.1007/s10943-017-0447-4
  • Kitazawa M, Yoshimura M, Hitokoto H, Sato-Fujimoto Y, Murata M, Negishi K, et al. Survey of the effects of internet usage on the happiness of Japanese university students. Health and Quality of Life Outcomes. 2019; 17(1): 151. https://doi.org/10.1186/s12955-019-1227-5
  • Koç P. Internet addiction and subjective well-being in university students. Journal of Positive School Psychology. 2017; 1(1): 34-41.
  • Müller A, Mitchell JE, Crosby RD, Cao L, Johnson J, Claes L, et al. Mood states preceding and following compulsive buying episodes: an ecological momentary assessment study. Psychiatry Research. 2012; 200(2-3): 575-80. https://doi.org/10.1016/j.psychres.2012.04.015
  • Stone AA, Broderick JE, Wang D, & Schneider S. Age patterns in subjective well-being are partially accounted for by psychological and social factors associated with aging. PloSone. 2020; 15(12). https://doi.org/10.1371/journal.pone.0242664
  • Lin MP. Prevalence of internet addiction during the COVID-19 outbreak and its risk factors among junior high school students in Taiwan. International Journal of Environmental Research and Public Health. 2020; 17(22): 8547. https://doi.org/10.3390/ijerph17228547
  • Brailovskaia J, & Margraf J. Decrease of well-being and increase of online media use: Cohort trends in German university freshmen between 2016 and 2019. Psychiatry Research. 2020; 290, 113110. https://doi.org/10.1016/j.psychres.2020.113110

Effect of the Subjective Well-Being of Working Women on Their Online Shopping Addiction during the COVID-19 Pandemic

Yıl 2022, Cilt: 12 Sayı: 3, 432 - 439, 20.09.2022
https://doi.org/10.33631/sabd.1102518

Öz

Aim: Especially in the first year of the COVID-19 pandemic, the time spent at home and on the internet has increased, social activities have decreased, and this process has been also accompanied by several mental problems. This study aimed to explore the effect of the subjective well-being of working women on their online shopping addiction status during the COVID-19 pandemic.
Material and Methods: The sample of this study comprised 538 women who had a formal job. The data were collected online platform using a socio-demographic information form, the Subjective Well-Being Scale, and the Online Shopping Addiction Scale. The statistical analyses were conducted using IBM Statistical Package for the Social Sciences (SPSS) 25.0 for Windows, and Jeffreys’s Amazing Statistics Program (JASP) 0.1.4.0. Descriptive statistical tests of research data; presented with frequency, percentage, mean and standard deviation. Also, partial correlation and multiple linear regression enter method analyzes were performed to examine the relationship between the variables.
Results: It is found that the subjective well-being of the participants predicted their overall online shopping addiction levels and their levels regarding the components of online shopping addiction. It was explained by 16.4% of the variance in online shopping addiction, 17.1% of the variance in emotional addiction, 15.3% of the variance in social addiction and only 10.1% of the variance in control addiction by subjective well-being.
Conclusion: According to the results, it may be asserted that working women turn toward online shopping to enhance their subjective well-being during the COVID-19 pandemic period.

Kaynakça

  • Gül H, Ünlü Y, Pekel A. Examination of the relationship between subjective well-being and empathic tendency levels for university students. Journal of Social and Humanities Sciences Research. 2017; 4(15): 1861-5.
  • Gencer N. Subjective well-being: a general overview. Hitit University Journal of Social Sciences Institute 2018; 11(3): 2621-38. https://doi.org/10.17218/hititsosbil.457382
  • Diener E, Pressman SD, Hunter J, & Delgadillo-Chase D. If, Why, and When Subjective Well-Being Influences Health, and Future Needed Research. Applied psychology. Health and Well-being. 2017; 9(2), 133-67. https://doi.org/10.1111/aphw.12090
  • Tosun LP. Use of social networking sites and subjective well-being. Current Approaches in Psychiatry. 2019; 11(3): 304-17. https://doi.org/10.18863/pgy.468532
  • Arslan G. Psychological maltreatment, forgiveness, mindfulness, and internet addiction among young adults: A study of mediation effect. Computers in Human Behavior. 2017; 72: 57-66. https://doi.org/10.1016/j.chb.2017.02.037
  • Savcı M, Aysan F. Technological addictions and social connectedness: predictor effect of internet addiction, social media addiction, digital game addiction and smartphone addiction on social connectedness. Journal of Psychiatry and Neurological Sciences. 2017; 30(3): 202-16. https://doi.org/10.5350/DAJPN2017300304
  • Kartal T. Turkish validity and reliability study of the online shopping addiction scale. Medical Specialty Thesis. Erzurum: Atatürk University Health Science Institute; 2018.
  • Moulding R, Duong A, Nedeljkovic M, Kyrios M. Do you think that money can buy happiness? A review of the role of mood, materialism, self, and cognitions in compulsive buying. Current Addiction Reports. 2017; 4(3): 254-61. https://doi.org/10.1007/s40429-017-0154-y
  • Müller A, Mitchell JE, & de Zwaan M. Compulsive buying. The American Journal on Addictions. 2015; 24(2): 132-137. https://doi.org/10.1111/ajad.12111
  • Trotzke P, Brand M, Starcke K. Cue-reactivity, craving, and decision making in buying disorder: A review of the current knowledge and future directions. Current Addiction Reports. 2017; 4(3): 246-53. https://doi.org/10.1007/s40429-017-0155-x
  • Jasmine CA. Impacts of COVID-19 on company and efforts to support organization adaptability. 2020; SSRN 3590726. http://dx.doi.org/10.2139/ssrn.3590726
  • Akın A. The relationships between Internet addiction, subjective vitality, and subjective happiness. Cyberpsychology, Behavior and Social Networking.2012;15(8):404-10. https://doi.org/10.1089/cyber.2011.0609
  • Kabasakal Z. Life satisfaction and family functions as-predictors of problematic internet use in university students. Computers in Human. Behavior. 2015; 53: 294-304. https://doi.org/10.1016/j.chb.2015.07.019
  • Baş AU, Soysal F, Aysan F. Relationship of problematic internet usage to psychological well-being and social support in college students. Itobiad: Journal of the Human & Social Science Researches. 2016; 5(4): 1035-46.
  • Atroszko PA, Balcerowska JM, Bereznowski P, Biernatowska A, Pallesen S, & Andreassen CS. Facebook addiction among polish undergraduate students: Validity of measurement and relationship with personality and well-being. Computers in Human Behavior. 2018; 85: 329-38 .https://doi.org/10.1016/j.chb.2018.04.001
  • Lachmann B, Sariyska R, Kannen C, Cooper A, & Montag C. Life satisfaction and problematic Internet use: Evidence for gender specific effects. Psychiatry Research. 2016; 238: 363-67. https://doi.org/10.1016/j.psychres.2016.02.017
  • Fioravanti G, Prostamo A, & Casale S. Taking a Short Break from Instagram: The Effects on Subjective Well-Being. Cyberpsychology, Behavior and Social Networking. 2020; 23(2): 107-12. https://doi.org/10.1089/cyber.2019.0400
  • Maraz A, Griffiths MD, & Demetrovics Z. The prevalence of compulsive buying: a meta-analysis. Addiction. 2016; 111(3): 408-19. https://doi.org/10.1111/add.13223
  • Hasan B. Exploring gender differences in online shopping attitude. Computers in Human Behavior. 2010; 26(4): 597-601.
  • Marangoz M, Özkoç HH, & Aydın EA. A Research on Consumers’ Internet Shopping Behaviors. Journal of Consumer and Consumption Research. 2019; 11(1): 1-22
  • Cohen J. Statistical Power Analysis for The Behavioral Science. Hillsdale: Lawrence Erlbaum Associates 1988.
  • Horwood S, & Anglim J. Problematic smartphone usage and subjective and psychological well-being. Computers in Human Behavior. 2019; 97: 44-50. https://doi.org/10.1016/j.chb.2019.02.028
  • Özçelik AB, Gegez EE, & Burnaz Ş. Mobile internet, consumer materialism, and compulsive buying: an examination of the moderating role of shopping motivations, Journal of Theory and Practice in Marketing. 2017; 3(2): 1-20.
  • Tuzgol-Dost M. Developing a subjective well-being scale: validity and reliability studies. Turkish Psychological Counseling and Guidance Journal. 2005; 3(23): 103-10.
  • Zhao H, Tian W, Xin T. The development and validation of the online shopping addiction scale. frontiers in psychology. 2017; 8: 735. https://doi.org/10.3389/fpsyg.2017.00735
  • Tabachnick BG, Fidell LS, Ullman JB. Using multivariate statistics. 2007; 5: 481-98. Boston, MA: Pearson.
  • George D. SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India, 2011.
  • Malone C, & Wachholtz A. The Relationship of Anxiety and Depression to Subjective Well-Being in a Mainland Chinese Sample. Journal of Religion and Health. 2018; 57(1): 266-78. https://doi.org/10.1007/s10943-017-0447-4
  • Kitazawa M, Yoshimura M, Hitokoto H, Sato-Fujimoto Y, Murata M, Negishi K, et al. Survey of the effects of internet usage on the happiness of Japanese university students. Health and Quality of Life Outcomes. 2019; 17(1): 151. https://doi.org/10.1186/s12955-019-1227-5
  • Koç P. Internet addiction and subjective well-being in university students. Journal of Positive School Psychology. 2017; 1(1): 34-41.
  • Müller A, Mitchell JE, Crosby RD, Cao L, Johnson J, Claes L, et al. Mood states preceding and following compulsive buying episodes: an ecological momentary assessment study. Psychiatry Research. 2012; 200(2-3): 575-80. https://doi.org/10.1016/j.psychres.2012.04.015
  • Stone AA, Broderick JE, Wang D, & Schneider S. Age patterns in subjective well-being are partially accounted for by psychological and social factors associated with aging. PloSone. 2020; 15(12). https://doi.org/10.1371/journal.pone.0242664
  • Lin MP. Prevalence of internet addiction during the COVID-19 outbreak and its risk factors among junior high school students in Taiwan. International Journal of Environmental Research and Public Health. 2020; 17(22): 8547. https://doi.org/10.3390/ijerph17228547
  • Brailovskaia J, & Margraf J. Decrease of well-being and increase of online media use: Cohort trends in German university freshmen between 2016 and 2019. Psychiatry Research. 2020; 290, 113110. https://doi.org/10.1016/j.psychres.2020.113110
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Hemşirelik
Bölüm Araştırma Makaleleri
Yazarlar

Didem Ayhan 0000-0001-6687-6564

Hilal Seki Öz 0000-0003-2228-9805

Yayımlanma Tarihi 20 Eylül 2022
Gönderilme Tarihi 12 Nisan 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 12 Sayı: 3

Kaynak Göster

Vancouver Ayhan D, Seki Öz H. Effect of the Subjective Well-Being of Working Women on Their Online Shopping Addiction during the COVID-19 Pandemic. SABD. 2022;12(3):432-9.