바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Factors Affecting User's Behavior of Smartphone: Integrated Model of Service Distribution, Addiction and Consequence

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2022, v.20 no.11, pp.99-108
https://doi.org/https://doi.org/10.15722/jds.20.11.202211.99
LEE, Won-Jun
SHIN, Luke Yunkeun
  • Downloaded
  • Viewed

Abstract

Purpose: The wide distribution of smartphones has changed life and user behavior. This phenomenon has both advantages and disadvantages for users. As smartphones become a part of our daily lives, smartphone addiction has recently become a social issue in many countries. This study explores factors that affect smartphone addiction and the consequences of addictive behaviors. Research design, data and methodology: Our model hypothesizes that four key factors determine addictive behavior: flow, enjoyment, preference for online social life, and escape reality. Commitment and compulsive use are mediating variables that connect key drivers and addictive results. Based on the SEM (structural equation model) analysis of 497 survey responses, these four driving factors each have a significant effect on the compulsive use of smartphones directly or indirectly; the compulsive use of smartphones directly influences the three results Results: We conducted a reliability and validity analysis, and the results were successful. In the hypothesis test, every path is accepted as expected at the significance level of 0.05. Conclusions: Among the four driving factors, escape reality is the vital factor influencing smartphone addiction and its consequences. And anxiety is the number one consequence influenced by the compulsive use of smartphones.

keywords
Smartphone addiction, Addictive Behavior, Commitment, Compulsive Use, User Behavior

Reference

1.

Akin, A. (2012). The relationship between internet addiction, subjective vitality, and subjective happiness. Cyberpsychology, Behavior, and Social Networking, 15(8), 404-410.

2.

Amez, S., & Baert, S. (2020). Smartphone use and academic performance: A literature review, International Journal of Educational Research, 103, 1-8.

3.

Anton, C., Camarero, C., & Rodriguez, J. (2013). Usefulness, enjoyment, and self-Image congruence: The adoption of e-book readers. Psychology & Marketing, 30(4), 372-384.

4.

Baca-Motes, K., Brown, A., Greenzy, A., Keenan, E. A., & Nelson, L. D. (2013). Commitment and behavior change: Evidence from the field. Journal of Consumer Research, 39(5), 1070-1084.

5.

Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.

6.

Beard, K. W. (2005). Internet addiction: A review of current assessment techniques and potential assessment questions. CyberPsychology & Behavior, 8(1), 7-14.

7.

Bettencourt, L. A. (1997). Customer voluntary performance: Customers as partners in service delivery. Journal of Retailing, 73(3), 383-406.

8.

Block, J. (2008). Issues for DSM-V: Internet addiction. American Journal of Psychiatry, 65(3), 306-307.

9.

Busch, P. A., & McCarthy, S. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114, 1-47.

10.

Caplan, S. E. (2003). Preference for online social interaction: A theory of problematic internet use and psychosocial well-being. Communication Research, 30(6), 625-648.

11.

Caplan. S. E. (2010). Theory and measurement of generalized problematic internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089-1097.

12.

Casey. B. M. (2012). Linking psychological attributes to smart phone addiction, face-to-face communication: Present absence and social capital. Graduate School of the Chinese University of Hong Kong.

13.

Cardak, M. (2013). Psychological well-being and internet addiction among university students. The Turkish Online Journal of Educational Technology, 12(3), 134-141.

14.

Cheever, N. A., Rosen, L. D., Carrier, L. M., & Chavez, M. (2014). Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290–297.

15.

Chen, J. (2007). Flow in games. Communications of the ACM, 50(4), 31-34.

16.

Chia, D. X., & Zhang, M. W. (2020). A scoping review of cognitive bias in Internet addiction and Internet gaming disorders. International Journal of Environmental Research and Public Health, 17(1), 1-11.

17.

Chiu, S. (2014). The Relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49-57.

18.

Correll, S. (1995). The ethnography of an electronic bar. Journal of Contemporary Ethnography, 24(3), 270-298.

19.

Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.

20.

Dai, H., Haried, P., & Salam, A. F. (2011). Antecedents of online service quality, commitment and loyalty. Journal of Computer Information Systems, 52(2), 1-11.

21.

David, M. E., Roberts, J. A., & Christenson, B. (2017). Too much of a good thing: investigating the association between actual smartphone use and individual well-being. International Journal of Human-Computer Interaction, 34(3), 265-275.

22.

Demirci, K., Akgonul, M. & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4(2), 85-92.

23.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research, Reading. MA: Addison-Wesley.

24.

Fullerton, G. (2005). The impact of brand commitment on loyalty to retail service brand. Canadian Journal of Administrative Sciences, 22(2), 97-110.

25.

Harris, B., Regan, T., Schueler, J., & Fields, S. A. (2020). Problematic mobile phone and smartphone use scales: A systematic review. Frontiers in Psychology, 11, 1-24.

26.

Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.

27.

Hodis, M. A., & Bruner, G. C. (2009). Technology addiction: An exploratory study of the negative impact of technology on consumer welfare. Advances in Consumer Research, 36, 840-841.

28.

Huizingh, E., & Hoekstra, J. C. (2003). Why do consumers like websites?. Journal of Targeting, Measurement and Analysis for Marketing, 11(4), 350-361.

29.

Jahan, I., Bhuiyan, K. H., Rahman, S., Bipasha, M. S., & Zayed, N. M. (2020), Factors influencing consumers’ attitude toward techno-marketing: An empirical analysis of restaurant business in Bangladesh, International Journal of Management, 11(8), 114-129.

30.

Jeong, E., & Kim, D. (2011). Social activities, self-efficacy, game attitudes, and game addiction. Cyberpsychology, Behavior, and Social Networking, 14(4), 213-221.

31.

Jeong, S., Kim, H., Yum, J., & Hwang, Y. (2015). What type of content are smartphone users addicted to? SNS vs. games. Computers in Human Behavior, 54, 10-17.

32.

Kalkbrenner, J., & McCampbell, A. (2011). The advent of smartphones: A study on the effect of handheld electronics on personal and professional productivity. Journal of Applied Global Research, 4(8), 1-9.

33.

Kwon, M., Lee,Y., Won, W., Park, J., Min, J., Hahn, C., Gu, X., Choi, J., & Kim, D. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), 1-7.

34.

Lawrence, T. L., Peng, Z., Mai, J., & Jing, J. (2009). Factors associated with internet addiction among adolescents. CyberPsychology & Behavior, 12(5), 551-555.

35.

Lee, W. (2013). An exploratory study on addictive use of smartphone: Developing SAUS(smartphone addictive use scale). Journal of Convergence Information Technology, 8(12), 403-407.

36.

Lee, Y., Chang,, C., Lin, Y., & Cheng, Z. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373-383.

37.

Leung, L. (2008). Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. Journal of Children and Media, 2(2), 93-113.

38.

Lin, Y.-H., Pan, Y.-C., Lin, S.-H., & Chen, S.-H. (2016). Development of short-form and screening cutoffpoint of the smartphone addiction inventory (SPAI-SF). International Journal of Methods in Psychiatric Research, 26(2), 1-6.

39.

Lyibomirsky, S., & Lepper. H. S. (1999). A measure of subjective happiness: Preliminary reliability and construct validation. Social Indicators Research, 46(2), 137-155.

40.

Morgan, R., & Hunt, S. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38.

41.

Park, N., Kim, Y., Shon, H., & Shim, H. (2013). Factors influencing smartphone use and dependency in South Korea. Computers in Human Behavior, 29(4), 1763-1770.

42.

Park, N., & Lee, H. (2014). Nature of youth smartphone addiction in Korea. Journal of Communication Research, 51(1), 100-132.

43.

Pies, R. (2009). Should DSM-V designate “internet addiction” a mental disorder?. Psychiatry, 6(2), 31-37.

44.

Robinson, T., & Berridge, K. (2003). Pleasure of the brain. Annual Review of Psychology, 52(1), 25-53.

45.

Salehan, M., & Negahban, A. (2013). Social networking on smartphones: When mobile phones become additive. Computers in Human Behavior, 29(6), 2632-2639.

46.

Scherer, K. (1997). College-life online: Healthy and unhealthy internet use. Journal of College Student Development, 38(6), 655-65.

47.

Shin, S., Lee, W-J., & Odom, D. (2014). A comparative study of smartphone user’s perception and preference towards mobile payment methods in the U.S. and Korea. Journal of Applied Business Research, 30(5), 1365–1375.

48.

Skues J. L., Williams, B., & Wise, L. (2012). The effects of personality traits, self-esteem, loneliness, and narcissism on Facebook use among university students. Computers in Human Behavior, 28(6), 2414-2419.

49.

Takao, M., Takahashi, S. & Kitamura, M. (2009). Addictive personality and problematic mobile phone use. CyberPsychology Behavior, 12(5), 501-507.

50.

Thatcher, A., Wretschko, G., & Fridjhon, P. (2008). Online flow experiences, problematic internet and internet procrastination. Computers in Human Behavior, 24(5), 2236-2254.

51.

Thomas, S. (2011). Addiction in internet chatting: An empirical study using modified technology acceptance model. Interdisciplinary Journal of Contemporary Research in Business, 3(4), 287-298.

52.

Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. MIS Quarterly, 35(4), 1043-1061.

53.

van Deursen, A, Bolle, C. L., Hegner, S. M., & Kommers, P. (2015). Modelling habitual and addictive smartphone behavior. Computers in Human Behavior, 45, 411-420.

54.

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Science, 27(3), 451-481.

55.

Wallace, A. (1999). The psychology of the internet. New York: Cambridge University Press.

56.

Wang, J., Wang, H., Gaskin, J., & Wang, L. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181-188.

57.

Webster, J., & Martocchio, J. J. (1992). Microcomputer playfulness: Development of a measure with workplace implications. MIS Quarterly, 16(2), 201-226.

58.

Wei, R., & Lo, V. (2006). Staying connected while on the move: Cell phone use and social connectedness. New Media & Society, 8(1), 53-72.

59.

Wu, H. R., & Zhu, K. J. (2004). Path analysis on related factors causing internet addiction disorder in college student. Chinese Journal of Public Health, 20(11), 1363-1364.

60.

Young, K. S. (1998). Caught in the net. New York: John Wiley & Sons.

61.

Yu, S., & Choi, J. (2015). The relationship of university students’ smartphone addiction with depression, anxiety and aggression: The moderating effect of self-control. Journal of Korea Institute of Youth Facility and Environment, 13(1), 131-144.

The Journal of Distribution Science