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Online Satın Alma Davranışında Genel Erteleme, Algılanan Risk, Akış Deneyimi ve Online Ertelemenin Rolüne İlişkin Bir Model Testi

Year 2021, Volume: 24 Issue: 2, 485 - 498, 30.11.2021
https://doi.org/10.29249/selcuksbmyd.978690

Abstract

Bu çalışmada, online satın alma davranışında genel erteleme eğilimi, akış deneyimi, online erteleme eğilimi ve algılanan risk kavramlarının rolünü ortaya koymaya çalışan bir model test edilmektedir. Araştırma bağlamında kolayda örnekleme yöntemi ile seçilmiş 551 katılımcı üzerinde yapılan anketten elde edilen veriler kullanılmıştır. Verilerin analizinde SmartPLS 3.2.9 programı kullanılmıştır.
Araştırma bulgularına göre genel erteleme ve online erteleme eğiliminin online satın alma davranışında etkisinin negatif olmadığı; erteleme eğilimli kişilerin online erteleme, alışveriş keyfi, tele bulunma boyutlarına etkisinin pozitif olduğunu ortaya koymaktadır. Online erteleme eğiliminin, tele bulunma ve alışveriş keyfi boyutlarında pozitif etkisi olduğu gözlenmiştir. Ancak algılanan riskin online erteleme üzerinde negatif etkisi desteklenmemiştir.

References

  • Berk, Ö., Altunışık, R., Eskiler, E. ve Sarıkaya, N. (2021). Lay (1986)’nın Genel Erteleme Ölçeğinin Güvenilirlik ve Geçerlilik araştırması. Gümüşhane Üniversitesi Sosyal Bilimler Enstitüsü Elektronik Dergisi, 12(2), 614-626.
  • Bridges,E.ve Florsheim,R. (2008). Hedonic and Utilitarian Shopping Goals: The Online Experience. Journal of Business Research, 61(4), 309–314.
  • Chen, H. (2006). Flow on The Net-Detecting Web Users Positive Affects and Their Flow States. Computers in Human Behavior, 22,221 –233.
  • Cho, J. (2004). Likelihood to Abort an Online Transaction: Influences from Cognitive Evaluations, Attitudes, and Behavioral Variables. Information and Management, Vol. 41 No.7, pp. 827-38.
  • Chu, A. H. C. ve Choi,J. N. (2005). Rethinking Procrastination: Positive Effects of Active Procrastination Behavior on Attitudes and Performance. The Journal of Social Psychology, 145, 245-264.
  • Costa, R. C. ve Lucian, R. (2014). Structural Equations Modeling, Perceived Risk and Flow State on E-Commerce. iBusiness, 6, 38-43.
  • Cox,D.F. ve Rich,S. (1964). Perceived Risk and Consumer Decision Making: The Case of Telephone Shopping. Journal of Marketing Research, 1(4), 32-39.
  • Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety (1st Ed.). San Francisco: Jossey-Bass.
  • Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York: Harper and Row.
  • Cunnigham, S.M. (1967). The Major Dimensions of Perceived Risk. Risk Taking and Information Handling in Consumer Behavior (Editör Cox, D.F.). Harvard University Press, Boston: 82-108.
  • Darpy, D. (2000). Consumer Procrastination and Purchase Delay. 29th Annual Conference EMAC. Rotterdam, NL.
  • Ellis, A. ve Knaus, W.J. (1977). Overcoming Procrastination. New York: Signet Books.
  • Fornell,C.ve Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 382–8.
  • Forsythe, S.M. ve Shi, B. (2003). Consumer Patronage and Risk Perceptions in Internet Shopping. Journal of Business Research, 56(11), 867–875.
  • Forsythe, S., Liu, C., Shannon, D. ve Gardner, L.C. (2006). Development of a Scale to Measure The Perceived Benefits and Risks Of Online Shopping. Journal of Interactive Marketing, Vol. 20, No.2, pp.55–75.
  • Garg, N., Wansink, B. ve Inman, J. J. (2007). The Influence of Incidental Affect On Consumers Food Intake. Journal of Marketing, 71(1), 194–206.
  • Garge S.C., Wetzel M. D. ve Ogunnaike B. A. ( 2007). An Inference Based Scheme for Controlling Product End-use Properties of Reactive Extrusion Processes. In preparation.
  • Ghani, J.A. (1991). Flow in Human-Computer Interactions: Test of a Model, In J. Carey (ed.) Human Factors in Management Information systems: An Organizational Perspective. Norwood, NJ: Ablex.
  • Hair, J.F., Tomas, G., Hult, M., Ringle, C.M., ve Sarstedt, M. (2014). A Primer on Partial Least Square Structural Equations Modeling (PLS-SEM). Los Angeles: Sage.
  • Hausman, A.V. ve Siekpe, J.S. (2009). The Effect of Web Interface Features on Consumer Online Purchase Intentions. Journal Business Research, pp. 5-13.
  • Hen, M. ve Goroshit, M. (2018). The Effects of Decisional and Academic Procrastination on Students Feelings toward Academic Procrastination. Current Psychology, 1-8.
  • Henseler, J., Ringle, C.M. ve Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Varience-Based Structural Equation Modelling. Journal of the Academy of Marketing Science, 43, 115-135.
  • Horton Raymond, L. (1984). Buyer Behavior: A Decision Making Approach. New York: Charles Merrill. Https:// dictionary.apa.org/, 7.11.2018.
  • Https:// dictionary.apa.org / time- distortion, 08.09.2019.
  • Huang, L., Hsieh, Y. ve Wu, Y. J. (2014). Gratifications and Social Network Service Usage: The Mediating Role of Online Experience. Information and Management, 51(6), 774–782.
  • Kim, T. ve Biocca, F. (1997). Telepresence Via Television: Two Dimensions of Telepresence may have Different Connections to Memory and Persuasion. Journal of Computer-Mediated Communication, 3(2), n.p.
  • Kim, K.R. ve Seo, E. H. (2015). The Relationship between Procrastination and Academic Performance: A Meta-Analysis. Personality and Individual Differences, 82, 26-33.
  • Knaus, W.J. (2000). Procrastination, Blame and Change [Special issue]. Journal of Social Behavior and Personality, 15, 153-166.
  • Lavoie, J.A.A. ve Pychyl, T.A. (2001). Cyberslacking and the Procrastination Superhighway: A Web-Based Survey of Online Procrastination, Attitudes, and Emotion. Social Science Computer Review, 19(4), 431-444.
  • Lay, C.H. (1986). At Last My Research Article on Procrastination. Journal of Research in Personality, 20, 474-495.
  • Lee, K.S. ve Tan, S.J. (2003). E-retailing Versus Physical Retailing: A Theoretical Model and Empirical Test of Consumer Choice . Journal of Business Research, 56(11), 877–885.
  • Li, S. ve Chatterjee, P. (2005). Shopping Cart Abandonment at Retail Websites-A Multi-stage Model of Online Shopping Behavior. Available at: http://elab.vanderbilt.edu/ Research_papers.
  • Mahnke, R., Benlian, A. ve Hess, T. (2014). Flow Experience in Information Systems Research: Revisiting its Conceptualization, Conditions, and Effects. ICIS 2014 proceedings.
  • McCown, W. ve Johnson, J. (2012). Validation of an Adult Inventory of Procrastination. New York: Society for Personality Assessment.
  • Negra, A., Mzoughi, N. ve Bouhlel, O. (2008) . E-procrastination: A Netnographic Approach. Journal of Customer Behaviour, Vol. 7 No. 2, pp. 103-109.
  • Novak, Thomas P., Hoffman, Donna L., Yung, Yiu-Fai (2000) . Measuring the Customer Experience in Online Environments: A Structural Modeling Approach. Marketing Science, 19 (1), 22–42.
  • O’Cass, A. ve Carlson, J. (2010). Examining the Effects of Website-Induced Flow in Professional Sporting Team Websites. Internet Research, 20(2), 115–134.
  • Peter, J.P. ve Tarpey, L.X. (1975). A Comparative Analysis of Three Consumer Decision Strategies. Journal of Consumer Research, 2: 29-37.
  • Ringle, C.M., Wende, S. ve Becker, J.M. (2015). SmartPLS 3. www.smartpls.com.
  • Sabini,J. ve Silver M. (1981). Procrastinating. Journal for the Theory of Social Behaviour, pp. 207-221.
  • ScanAlert (2005). A New Era of Digital Window Shopping: from Shopping Cart Abandonment to Purchase. www.webhostgear.com/shopping_habits.pdf.
  • Seock, Y. ve Bailey, L.R. (2008). The Influence of College Students Shopping Orientations and Gender Differences on Online Information Searches and Purchase Behaviors. International Journal of Consumer Studies, 32, 113-121.
  • Shang ,R.A., Chen Y.C. ve Shen, L. (2005). Extrinsic versus Intrinsic Motivations for Consumers to Shop Online. Information Management, pp. 401-413.
  • Shaw, N. ve Sergueeva, K. (2019). The Non-monetary Benefits of Mobile Commerce: Extending UTAUT2 with Perceived Value. International Journal of Information Management, 44–55.
  • Solomon, L.J. ve Rothblum, E. D. (1984). Academic Procrastination: Frequency and Cognitive-Behavioral Correlates. Journal of Counseling Psychology, 31 (4), 503-509.
  • Thakur, R. ve Srivastava, M. (2014). Adoption Readiness,Personal Innovativeness, Perceived Risk and Usage Intention across Customer Groups for Mobile Payment Services in India. Internet Research, 24(3), 369-392.
  • Thatcher, A., Wretschko, G. ve Fridjhon, P. (2008). Online Flow Experiences, Problematic Internet Use and Internet Procrastination. Computers in Human Behavior, 24, 2236–2254. doi:10.1016/j.chb.2007.10.008.

A Model Test On The Role Of General Procrastination, Perceived Risk, Flow Experience And Online Procrastination In Online Purchasing Behavior

Year 2021, Volume: 24 Issue: 2, 485 - 498, 30.11.2021
https://doi.org/10.29249/selcuksbmyd.978690

Abstract

In this study, a model that tries to reveal the role of general procrastination, flow experience, online procrastination and perceived risk in online purchasing behavior is tested. In the context of the research, the data obtained from the survey conducted on 551 participants selected by convenience sampling method were used. SmartPLS 3.2.9 program was used in the analysis of the data.
According to the research findings, the effect of general procrastination and online procrastination on online purchasing behavior is not negative; It reveals that the procrastination prone people have a positive effect on online procrastination, shopping pleasure, and telepresence. It has been observed that the tendency to procrastinate online has a positive effect on the dimensions of tele presence and shopping pleasure.However, the negative effect of perceived risk on online procrastination is not supported.

References

  • Berk, Ö., Altunışık, R., Eskiler, E. ve Sarıkaya, N. (2021). Lay (1986)’nın Genel Erteleme Ölçeğinin Güvenilirlik ve Geçerlilik araştırması. Gümüşhane Üniversitesi Sosyal Bilimler Enstitüsü Elektronik Dergisi, 12(2), 614-626.
  • Bridges,E.ve Florsheim,R. (2008). Hedonic and Utilitarian Shopping Goals: The Online Experience. Journal of Business Research, 61(4), 309–314.
  • Chen, H. (2006). Flow on The Net-Detecting Web Users Positive Affects and Their Flow States. Computers in Human Behavior, 22,221 –233.
  • Cho, J. (2004). Likelihood to Abort an Online Transaction: Influences from Cognitive Evaluations, Attitudes, and Behavioral Variables. Information and Management, Vol. 41 No.7, pp. 827-38.
  • Chu, A. H. C. ve Choi,J. N. (2005). Rethinking Procrastination: Positive Effects of Active Procrastination Behavior on Attitudes and Performance. The Journal of Social Psychology, 145, 245-264.
  • Costa, R. C. ve Lucian, R. (2014). Structural Equations Modeling, Perceived Risk and Flow State on E-Commerce. iBusiness, 6, 38-43.
  • Cox,D.F. ve Rich,S. (1964). Perceived Risk and Consumer Decision Making: The Case of Telephone Shopping. Journal of Marketing Research, 1(4), 32-39.
  • Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety (1st Ed.). San Francisco: Jossey-Bass.
  • Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York: Harper and Row.
  • Cunnigham, S.M. (1967). The Major Dimensions of Perceived Risk. Risk Taking and Information Handling in Consumer Behavior (Editör Cox, D.F.). Harvard University Press, Boston: 82-108.
  • Darpy, D. (2000). Consumer Procrastination and Purchase Delay. 29th Annual Conference EMAC. Rotterdam, NL.
  • Ellis, A. ve Knaus, W.J. (1977). Overcoming Procrastination. New York: Signet Books.
  • Fornell,C.ve Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 382–8.
  • Forsythe, S.M. ve Shi, B. (2003). Consumer Patronage and Risk Perceptions in Internet Shopping. Journal of Business Research, 56(11), 867–875.
  • Forsythe, S., Liu, C., Shannon, D. ve Gardner, L.C. (2006). Development of a Scale to Measure The Perceived Benefits and Risks Of Online Shopping. Journal of Interactive Marketing, Vol. 20, No.2, pp.55–75.
  • Garg, N., Wansink, B. ve Inman, J. J. (2007). The Influence of Incidental Affect On Consumers Food Intake. Journal of Marketing, 71(1), 194–206.
  • Garge S.C., Wetzel M. D. ve Ogunnaike B. A. ( 2007). An Inference Based Scheme for Controlling Product End-use Properties of Reactive Extrusion Processes. In preparation.
  • Ghani, J.A. (1991). Flow in Human-Computer Interactions: Test of a Model, In J. Carey (ed.) Human Factors in Management Information systems: An Organizational Perspective. Norwood, NJ: Ablex.
  • Hair, J.F., Tomas, G., Hult, M., Ringle, C.M., ve Sarstedt, M. (2014). A Primer on Partial Least Square Structural Equations Modeling (PLS-SEM). Los Angeles: Sage.
  • Hausman, A.V. ve Siekpe, J.S. (2009). The Effect of Web Interface Features on Consumer Online Purchase Intentions. Journal Business Research, pp. 5-13.
  • Hen, M. ve Goroshit, M. (2018). The Effects of Decisional and Academic Procrastination on Students Feelings toward Academic Procrastination. Current Psychology, 1-8.
  • Henseler, J., Ringle, C.M. ve Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Varience-Based Structural Equation Modelling. Journal of the Academy of Marketing Science, 43, 115-135.
  • Horton Raymond, L. (1984). Buyer Behavior: A Decision Making Approach. New York: Charles Merrill. Https:// dictionary.apa.org/, 7.11.2018.
  • Https:// dictionary.apa.org / time- distortion, 08.09.2019.
  • Huang, L., Hsieh, Y. ve Wu, Y. J. (2014). Gratifications and Social Network Service Usage: The Mediating Role of Online Experience. Information and Management, 51(6), 774–782.
  • Kim, T. ve Biocca, F. (1997). Telepresence Via Television: Two Dimensions of Telepresence may have Different Connections to Memory and Persuasion. Journal of Computer-Mediated Communication, 3(2), n.p.
  • Kim, K.R. ve Seo, E. H. (2015). The Relationship between Procrastination and Academic Performance: A Meta-Analysis. Personality and Individual Differences, 82, 26-33.
  • Knaus, W.J. (2000). Procrastination, Blame and Change [Special issue]. Journal of Social Behavior and Personality, 15, 153-166.
  • Lavoie, J.A.A. ve Pychyl, T.A. (2001). Cyberslacking and the Procrastination Superhighway: A Web-Based Survey of Online Procrastination, Attitudes, and Emotion. Social Science Computer Review, 19(4), 431-444.
  • Lay, C.H. (1986). At Last My Research Article on Procrastination. Journal of Research in Personality, 20, 474-495.
  • Lee, K.S. ve Tan, S.J. (2003). E-retailing Versus Physical Retailing: A Theoretical Model and Empirical Test of Consumer Choice . Journal of Business Research, 56(11), 877–885.
  • Li, S. ve Chatterjee, P. (2005). Shopping Cart Abandonment at Retail Websites-A Multi-stage Model of Online Shopping Behavior. Available at: http://elab.vanderbilt.edu/ Research_papers.
  • Mahnke, R., Benlian, A. ve Hess, T. (2014). Flow Experience in Information Systems Research: Revisiting its Conceptualization, Conditions, and Effects. ICIS 2014 proceedings.
  • McCown, W. ve Johnson, J. (2012). Validation of an Adult Inventory of Procrastination. New York: Society for Personality Assessment.
  • Negra, A., Mzoughi, N. ve Bouhlel, O. (2008) . E-procrastination: A Netnographic Approach. Journal of Customer Behaviour, Vol. 7 No. 2, pp. 103-109.
  • Novak, Thomas P., Hoffman, Donna L., Yung, Yiu-Fai (2000) . Measuring the Customer Experience in Online Environments: A Structural Modeling Approach. Marketing Science, 19 (1), 22–42.
  • O’Cass, A. ve Carlson, J. (2010). Examining the Effects of Website-Induced Flow in Professional Sporting Team Websites. Internet Research, 20(2), 115–134.
  • Peter, J.P. ve Tarpey, L.X. (1975). A Comparative Analysis of Three Consumer Decision Strategies. Journal of Consumer Research, 2: 29-37.
  • Ringle, C.M., Wende, S. ve Becker, J.M. (2015). SmartPLS 3. www.smartpls.com.
  • Sabini,J. ve Silver M. (1981). Procrastinating. Journal for the Theory of Social Behaviour, pp. 207-221.
  • ScanAlert (2005). A New Era of Digital Window Shopping: from Shopping Cart Abandonment to Purchase. www.webhostgear.com/shopping_habits.pdf.
  • Seock, Y. ve Bailey, L.R. (2008). The Influence of College Students Shopping Orientations and Gender Differences on Online Information Searches and Purchase Behaviors. International Journal of Consumer Studies, 32, 113-121.
  • Shang ,R.A., Chen Y.C. ve Shen, L. (2005). Extrinsic versus Intrinsic Motivations for Consumers to Shop Online. Information Management, pp. 401-413.
  • Shaw, N. ve Sergueeva, K. (2019). The Non-monetary Benefits of Mobile Commerce: Extending UTAUT2 with Perceived Value. International Journal of Information Management, 44–55.
  • Solomon, L.J. ve Rothblum, E. D. (1984). Academic Procrastination: Frequency and Cognitive-Behavioral Correlates. Journal of Counseling Psychology, 31 (4), 503-509.
  • Thakur, R. ve Srivastava, M. (2014). Adoption Readiness,Personal Innovativeness, Perceived Risk and Usage Intention across Customer Groups for Mobile Payment Services in India. Internet Research, 24(3), 369-392.
  • Thatcher, A., Wretschko, G. ve Fridjhon, P. (2008). Online Flow Experiences, Problematic Internet Use and Internet Procrastination. Computers in Human Behavior, 24, 2236–2254. doi:10.1016/j.chb.2007.10.008.
There are 47 citations in total.

Details

Primary Language Turkish
Journal Section Original Research Articles
Authors

Özsev Berk 0000-0002-1314-9125

Remzi Altunışık 0000-0001-7934-1841

Nilgün Sarıkaya 0000-0002-1696-4950

Publication Date November 30, 2021
Submission Date August 4, 2021
Published in Issue Year 2021 Volume: 24 Issue: 2

Cite

APA Berk, Ö., Altunışık, R., & Sarıkaya, N. (2021). Online Satın Alma Davranışında Genel Erteleme, Algılanan Risk, Akış Deneyimi ve Online Ertelemenin Rolüne İlişkin Bir Model Testi. Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 24(2), 485-498. https://doi.org/10.29249/selcuksbmyd.978690

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