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http://dx.doi.org/10.15207/JKCS.2019.10.5.189

A Exploratory Study on the Role of Fatigues of the Relationship between Interpersonal Communication Motives and Loneliness in Mobile Environment  

Yim, Myung-Seong (Department of Business Administration, Sahmyook University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.5, 2019 , pp. 189-201 More about this Journal
Abstract
The aim of this study is to investigate the relationship between communication motive, fatigue and loneliness in mobile environment. According to previous research, the most important communication motive in mobile environment is pleasure. Therefore, pleasure was selected as a representative communication motive. To do this, we collected data for empirical analysis from mobile messenger users using questionnaire. We found that pleasure has a negative effect on loneliness. Second, pleasure has a negative effect on connection, function, and focus. On the other hand, pleasure has no effect on delivery and relationship fatigue. Finally, function and focus have a positive effect on loneliness. On the other hand, connection, delivery, and relationship fatigue have no effect on loneliness. As a result of the research, it is possible to reduce the function and focus fatigue due to the use of the mobile messenger by adding the functions that cause the enjoyment of using the messenger. In addition, the addition of fun-inducing features can also reduce loneliness caused by the use of mobile messenger. Future research will also need to identify factors that may reduce connection and relationship fatigue.
Keywords
Communication Motive; Fatigue; Loneliness; Messenger; Mobile;
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1 J. Goodman-Deane, A. Mieczakowski, D. Johnson, T. Goldhaber & P. J. Clarkson. (2016). The Impact of Communication Technologies on Life and Relationship Satisfaction. Computers in Human Behavior, 57, 219-229.   DOI
2 R. I. Iyer & J. A. Muncy. (2009). Purpose and Object of Anti-Consumption. Journal of Business Research, 62(2), 160-168.   DOI
3 Samsung Economic Research Institute. Anti-Consumption, Why should we pay attention?. CEO Information, 803, 2011.05.11.
4 G. A. Hullman, A. Goodnight & J. Mougeotte. (2012). An Examination of Perceived Relational Messages That Accompany Interpersonal Communication Motivations. The Open Communication Journal, 6, 1-7.   DOI
5 G. Shabir, Y. W. Iqbal & G. Safdar. (2014). Demographics' Differences in Social Networking Sites Use: What Communication Motives Does It Gratify?. International Journal of Social Work and Human Services Practice, 2(5), 184-194.   DOI
6 D. J. Canary & B. H. Spitzberg. (1993). Loneliness and Media Gratifications. Communication Research, 20(6), 800-821.   DOI
7 C. A. Barbato & E. M. Perse. (1992). Interpersonal Communication Motives and the Life Position of Elders. Communication Research, 19(4), 516-531.   DOI
8 C. M. Anderson & M. M. Martin. (2002). Communication Motives (State v. Trait?) and Task Group Outcomes. Communication Research Reports, 19(3), 269-282.   DOI
9 V. Pornsakulvanich, P. Haridakis & A. M. Rubin. (2008). The Influence of Dispositions and Internet Motivation on Online Communication Satisfaction and Relationship Closeness. Computers in Human Behavior, 24, 2292-2310.   DOI
10 DMC. (2018). Social media usage behavior and ad contact attitude analysis report. DMC Report, 2018.06.25.
11 Korea Information Society Development Institute. (2018). SNS(Social Network Service) Usage trend and usage behavior analysis. KISDI STAT Report, 18(11), 2018.06.15.
12 R. Kraut, M. Patterson, V. Lundmark, S. Kiesler, T. Mukopadhyay & W. Scherlis. (1998). Internet Paradox: A Social Technology That Reduces Social Involvement and Psychological Well-Being?. American Psychologist, 53(9), 1017-1031.   DOI
13 J. C. Anderson & D. W. Gerbing. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423.   DOI
14 M.-S. Yim. (2018). A Study of Effect of Communication Motives for Mobile Messenger on Life Satisfaction and Loneliness. Journal of Management Consulting Research, 18(2), 217-235.
15 S. Akin, B. Mendi, B. Ozturk, C. Cinper & Z. Durna. (2013). Assessment of Relationship between Self-Care and Fatigue and Loneliness in Haemodialysis Patients. Journal of Clinical Nursing, 23(5/6), 856-864.
16 J. Henseler, G. Hubona & R. A. Ray. (2016). Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, 16(1), 2-20.
17 D. Gefen, D. W. Straub & M-C. Boudreau. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4(7), 1-76.
18 J. F. Hair Jr, M. Sarstedt, L. Hopkins & V. G. Kuppelwieser. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research. European Business Review, 26(2), 106-121.   DOI
19 P. B. Lowry & J. Gaskin. (2014). Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It. IEEE Transactions of Professional Communication, 57(2), 123-146.   DOI
20 J. C. Nunnally & I. H. Bernstein. (1994). Psychometric Theory. McGraw-Hill, New York, NY.
21 C. Fornell & D. F. Larcker. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.   DOI
22 J. J. Sosik, S. S. Kahai & M. J. Piovoso. (2009). Silver Bullet or Voodoo Statistics? A Primer for Using the Partial Least Squares Data Analytic Technique in Group and Organization Research. Group & Organization Management, 34(1), 5-36.   DOI
23 M. Tenenhaus, V. Esposito Vinzi, Y.-M. Chatelin & C. Lauro. (2005). PLS Path Modeling. Computational Statistics and Data Analysis, 48(1), 159-205.   DOI
24 R. T. Rust, D. V. Thompson & R. W. Hamilton. (2006). Defeating Feature Fatigue. Harvard Business Review, 84(2), 98-107.
25 E. E. Graham, C. A. Barbato & E. M. Perse. (1993). The Interpersonal Communication Motives Model. Communication Quarterly, 41(2), 172-186.   DOI
26 Y. Erdogan. (2008). Exploring the Relationships among Internet Usage, Internet Attitudes and Loneliness of Turkish Adolescents. Journal of Psychosocial Research on Cyberspace, 2(2), Article 4.
27 U. Wolfradt & J. Doll. (2001). Motives of Adolescents to Use the Internet as a Function of Personality Traits, Personal and Social Factors. Journal of Educational Computing Research, 24(1), 13-27.   DOI
28 H. Hong, M. Cao & G. A. Wang. (2017). The Effects of Network Externalities and Herding on User Satisfaction with Mobile Social Apps. Journal of Electronic Commerce Research, 18(1), 18-31.
29 B. Jin & N. Park. (2010). In-Person Contract Begets Calling and Texting: Interpersonal Motives for Cell Phone Use, Face-to-Face Interaction, and Loneliness. Cyberpsychology, Behavior, and Social Networking, 13(6), 611-618.   DOI
30 D. Russell, L. A. Peplau & C. E. Cutrona. (1980). The Revised UCLA Loneliness Scale: Concurrent and Discriminant Validity Evidence. Journal of Personality and Social Psychology, 39(3), 477-480.
31 J. C. Fisk, P. G. Ritvo, L. Ross, D. A. Haase, T. J. Marrie & W. F. Schlech. (1994). Measuring the Functional Impact of Fatigue: Initial Validation of the Fatigue Impact Scale. Clinical Infectious Diseases, 18, S79-S83.   DOI
32 H. J. Michielsen, J. De Vies & G. L. Van Heck. (2003). Psychometric Qualities of Brief Self-Rated Fatigue Measure: The Fatigue Assessment Scale. Journal of Psychosomatic Research, 54, 345-352.   DOI
33 R. B. Rubin, E. M. Perse & C. A. Barbato. (1988). Conceptualization and Measurement of Interpersonal Communication Motives. Human Communication Research, 14(4), 602-628.   DOI
34 N. M. Punyanunt-Carter. (2007). Using Attachment Theory to Study Communication Motives in Father-Daughter Relationships. Communication Research Reports, 24(2), 311-318.   DOI
35 Y. Hwang. (2014). Antecedents of Interpersonal Communication Motives on Twitter: Loneliness and Life Satisfaction. International Journal of Cyber Society and Education, 7(1), 49-70.   DOI
36 W. C. Schutz. (1966). The Interpersonal Underworld. Palo Alto, CA: Science and Behavior Books.
37 E. Katz, J. G. Blumler & M. Gurevitch. (1974). Utilization of Mass Communication by the Individual. In J. G. Blumler & E. Katz. (ed.). The Uses of Mass Communications: Current Perspectives on Gratifications Research, Beverly Hills: Sage, 19-32.
38 J. De Vries, H. J. Michielsen & G. L. Van Heck. (2003). Assessment of Fatigue among Working People: A Comparison of Six Questionnaires. Occupational and Environmental Medicine, 60, i10-i15.   DOI
39 K. A. Lee, G. Hicks & G. Nino-Murcia. (1991). Validity and Reliability of a Scale to Assess Fatigue. Psychiatry Research, 36, 291-298.   DOI
40 B. F. Piper, A. M. Lindsey & M. J. Dodd. (1987). Fatigue Mechanisms in Cancer Patients: Developing Nursing Theory. Oncology Nursing Forum, 14, 17-23.
41 Z. Papacharissi & A. M. Rubin. (2000). Predictors of Internet Use. Journal of Broadcasting & Electronic Media, 44(2), 175-196.   DOI
42 K. D. Stein, P. B. Jacobsen, C. M. Blanchard & C. Thors. (2004). Further Validation of the Multidimensional Fatigue Symptom Inventory-Short Form. Journal of Pain and Symptom Management, 27(1), 14-23.   DOI
43 A. Blachnio, A. Przepiorka, W. Boruch & E. Balakier. (2016). Self-presentation styles, privacy, and loneliness as predictors of Facebook use in young people. Personality and Individual Differences, 94, 26-31.   DOI
44 L. M. Jaremka, R. R. Andridge, C. P. Fagundes, C. M. Alfano, S. P. Povoski, A. M. Lipari, D. M. Agnese, M. W. Arnold, W. B. Farrar, L. D. Yee, W. E. Carson, T. Bekaii-Saab, E. W. Martin, C. R. Schmidt & J. K. Kiecolt-Glaser. (2014). Pain, Depression, and Fatigue: Loneliness as a Longitudinal Risk Factor. Health Psychology, 33(9), 948-957.   DOI
45 L. M. Jaremka, C. P. Fagundes, R. Glaser, J. M. Bennett, W. B. Marlarkey & J. K. Kiecolt-Glaser. (2013). Loneliness Predicts Pain, Depression, and Fatigue: Understanding the Role of Immune Dysregulation. Psychoneuroendocrinology, 38, 1310-1317.   DOI