Sustainable Interpersonal Interaction: Research on Instant Message and Helping from the Perspective of Sender
Abstract
:1. Introduction
2. Theory Framework and Hypotheses
2.1. Conservation of Resource Theory
2.2. Instant Messages Sent and Perceived Work Goal Progress
2.3. Mediating Role of Work Goal Progress
2.4. Moderated Mediation
3. Method
3.1. Participants and Procedure
3.2. Measures
3.2.1. Instant Messages Sent
3.2.2. Usefulness of Reply
3.2.3. Perceived Work Goal Progress
3.2.4. Helping
4. Data Analysis and Results
4.1. Common Method Variance
4.2. Confirmatory Factor Analysis
4.3. Descriptive Data Analysis
4.4. Results of Hypothesis Testing
5. Discussion
5.1. Theoretical and Practical Contributions
5.2. Limitations and Suggestions for Future Research
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Sun, Z.; Lin, C.H.; Wu, M.; Zhou, J.; Luo, L. A tale of two communication tools: Discussion-forum and mobile instant-messaging apps in collaborative learning. Br. J. Educ. Technol. 2018, 49, 248–261. [Google Scholar] [CrossRef] [Green Version]
- Ou, C.X.J.; Davison, R.M. Shaping guanxi networks at work through instant messaging. J. Assoc. Inf. Sci. Technol. 2016, 67, 1153–1168. [Google Scholar] [CrossRef]
- Huang, L.V.; Zhang, K. Engagement, Formality, and Visibility: Managing Paradoxes of Using Mobile Instant Messaging for Work. Int. J. Commun. 2019, 13, 1919–1938. [Google Scholar]
- Cui, D. Beyond “connected presence”: Multimedia mobile instant messaging in close relationship management. Mob. Media Commun. 2016, 4, 19–36. [Google Scholar] [CrossRef]
- Darics, E. The Blurring Boundaries Between Synchronicity and Asynchronicity. Int. J. Bus. Commun. 2014, 51, 337–358. [Google Scholar] [CrossRef] [Green Version]
- Yuan, C.-H.; Wu, Y.J. Mobile instant messaging or face-to-face? Group interactions in cooperative simulations. Comput. Hum. Behav. 2020, 113, 106508. [Google Scholar] [CrossRef]
- Cho, J.; Lee, H.E.; Kim, H. Effects of Communication-Oriented Overload in Mobile Instant Messaging on Role Stressors, Burnout, and Turnover Intention in the Workplace. Int. J. Commun. 2019, 13, 1743–1763. [Google Scholar]
- Sheer, V.C.; Rice, R.E. Mobile instant messaging use and social capital: Direct and indirect associations with employee outcomes. Inf. Manag. 2017, 54, 90–102. [Google Scholar] [CrossRef] [Green Version]
- McGowan, M.L.; Lin, A.; Ou-Yang, R.; Zei, M.; Grobman, W. Concentration and the Second Stage of Labor: Outcomes Associated with the Interactive Metronome. Am. J. Perinatol. 2012, 29, 823–826. [Google Scholar] [CrossRef]
- Rosen, C.C.; Simon, L.S.; Gajendran, R.S.; Johnson, R.E.; Lee, H.W.; Lin, S.J. Boxed in by your inbox: Implications of daily e-mail demands for managers’ leadership behaviors. J. Appl. Psychol. 2019, 104, 19–33. [Google Scholar] [CrossRef]
- Mazmanian, M.; Orlikowski, W.J.; Yates, J. The Autonomy Paradox: The Implications of Mobile Email Devices for Knowledge Professionals. Organ. Sci. 2013, 24, 1337–1357. [Google Scholar] [CrossRef]
- Dahya, N.; Dryden-Peterson, S.; Douhaibi, D.; Arvisais, O. Social support networks, instant messaging, and gender equity in refugee education. Inf. Commun. Soc. 2019, 22, 774–790. [Google Scholar] [CrossRef] [Green Version]
- Gabriel, A.S.; Koopman, J.; Rosen, C.C.; Johnson, R.E. Helping others or helping oneself? An episodic examination of the behavioral consequences of helping at work. Pers. Psychol. 2018, 71, 85–107. [Google Scholar] [CrossRef] [Green Version]
- Lanaj, K.; Johnson, R.E.; Barnes, C.M. Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organ. Behav. Hum. Decis. Process. 2014, 124, 11–23. [Google Scholar] [CrossRef]
- Lanaj, K.; Johnson, R.E.; Wang, M. When lending a hand depletes the will: The daily costs and benefits of helping. J. Appl. Psychol. 2016, 101, 1097–1110. [Google Scholar] [CrossRef]
- Trougakos, J.P.; Beal, D.J.; Cheng, B.H.; Hideg, I.; Zweig, D. Too drained to help: A resource depletion perspective on daily interpersonal citizenship behaviors. J. Appl. Psychol. 2015, 100, 227–236. [Google Scholar] [CrossRef]
- Glomb, T.M.; Bhave, D.P.; Miner, A.G.; Wall, M. Doing Good, Feeling Good: Examining the Role of Organizational Citizenship Behaviors in Changing Mood. Pers. Psychol. 2011, 64, 191–223. [Google Scholar] [CrossRef]
- Bolino, M.C.; Turnley, W.H.; Bloodgood, J.M. Citizenship behavior and the creation of social capital in organizations. Acad. Manag. Rev. 2002, 27, 505–522. [Google Scholar] [CrossRef]
- Thompson, P.S.; Bolino, M.C. Negative beliefs about accepting coworker help: Implications for employee attitudes, job performance, and reputation. J. Appl. Psychol. 2018, 103, 842–866. [Google Scholar] [CrossRef]
- Hobfoll, S.E. Conservation of Resources—A New Attempt at Conceptualizing Stress. Am. Psychol. 1989, 44, 513–524. [Google Scholar] [CrossRef]
- Hobfoll, S.E. Stress, culture, and community: The psychology and philosophy of stress. Br. J. Med. Psychol. 1998, 44, 408–409. [Google Scholar]
- Hobfoll, S.E. The Influence of Culture, Community, and the Nested-Self in the Stress Process: Advancing Conservation of Resources Theory. Appl. Psychol. 2001, 50, 337–421. [Google Scholar] [CrossRef]
- Davison, R.M.; Ou CX, J.; Martinsons, M.G.; Zhao, A.Y.; Du, R. The communicative ecology of Web 2.0 at work: Social networking in the workspace. J. Assoc. Inf. Sci. Technol. 2014, 65, 2035–2047. [Google Scholar] [CrossRef]
- David, D.; Dawley, W.P. Anthony. User Perceptions of E-Mail at Work. J. Bus. Tech. Commun. 2003, 17, 170–200. [Google Scholar]
- Barley, S.R.; Meyerson, D.E.; Grodal, S. E-mail as a Source and Symbol of Stress. Organ. Sci. 2011, 22, 887–906. [Google Scholar] [CrossRef] [Green Version]
- Jerejian AC, M.; Reid, C.; Rees, C.S. The contribution of email volume, email management strategies and propensity to worry in predicting email stress among academics. Comput. Hum. Behav. 2013, 29, 991–996. [Google Scholar] [CrossRef]
- Qin, X.; Huang, M.; Johnson, R.E.; Hu, Q.; Ju, D. The Short-lived Benefits of Abusive Supervisory Behavior for Actors: An Investigation of Recovery and Work Engagement. Acad. Manag. J. 2018, 61, 1951–1975. [Google Scholar] [CrossRef]
- Halbesleben JR, B.; Bowler, W.M. Emotional exhaustion and job performance: The mediating role of motivation. J. Appl. Psychol. 2007, 92, 93–106. [Google Scholar] [CrossRef]
- Halbesleben, J.R.B.; Wheeler, A.R. To Invest or Not? The Role of Coworker Support and Trust in Daily Reciprocal Gain Spirals of Helping Behavior. J. Manag. 2015, 41, 1628–1650. [Google Scholar] [CrossRef] [Green Version]
- Moore, E.; Holding, A.C.; Moore, A.; Levine, S.L.; Powers, T.A.; Zuroff, D.C.; Koestner, R. The role of goal-related autonomy: A self-determination theory analysis of perfectionism, poor goal progress, and depressive symptoms. J. Couns. Psychol. 2020. [Google Scholar] [CrossRef]
- De Clercq, D.; Rahman, Z.; Haq, I.U. Explaining Helping Behavior in the Workplace: The Interactive Effect of Family-to-Work Conflict and Islamic Work Ethic. J. Bus. Ethics 2017, 155, 1167–1177. [Google Scholar] [CrossRef]
- Deckop, J.R.; Cirka, C.C.; Andersson, L.M. Doing unto others: The reciprocity of helping behavior in organizations. J. Bus. Ethics. 2003, 47, 101–113. [Google Scholar] [CrossRef]
- Liang, H.Y.; Shih, H.A.; Chiang, Y.H. Team diversity and team helping behavior: The mediating roles of team cooperation and team cohesion. Eur. Manag. J. 2015, 33, 48–59. [Google Scholar] [CrossRef]
- Gorgievski, M.J.; Halbesleben, J.R.B.; Bakker, A.B. Expanding the boundaries of psychological resource theories. J. Occup. Organ. Psychol. 2011, 84, 1–7. [Google Scholar] [CrossRef]
- Dabbish, L.A.; Kraut, R.E. Email overload at work: An analysis of factors associated with email strain. IEEE Eng. Manag. Rev. 2010, 38, 76–90. [Google Scholar]
- Kato, Y.; Kato, S. Reply speed to mobile text messages among Japanese college students: When a quick reply is preferred and a late reply is acceptable. Comput. Hum. Behav. 2015, 44, 209–219. [Google Scholar] [CrossRef]
- Koopman, J.; Lanaj, K.; Scott, B.A. Integrating the Bright And Dark Sides of Ocb: A Daily Investigation of the Benefits and Costs of Helping Others. Acad. Manag. J. 2016, 59, 414–435. [Google Scholar] [CrossRef]
- Farh, J.L.; Earley, P.C.; Lin, S.C. Impetus for action: A cultural analysis of justice and organizational citizenship behavior in Chinese society. Adm. Sci. Q. 1997, 42, 421–444. [Google Scholar] [CrossRef]
- Eby, L.T.; Dobbins, G.H. Collectivistic orientation in teams: An individual and group-level analysis. J. Organ. Behav. 1997, 18, 275–295. [Google Scholar] [CrossRef]
- Livingstone, L.P.; Nelson, D.L.; Barr, S.H. Person–environment fit and creativity: An examination of supply–value and demand–ability versions of fit. J. Manag. 1997, 23, 119–146. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.-Y.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef] [PubMed]
- Seung Yeop, L.; Sang Woo, L. Social Media Use and Job Performance in the Workplace: The Effects of Facebook and KakaoTalk Use on Job Performance in South Korea. Sustainability 2020, 12, 4052. [Google Scholar]
- Pimmer, C.; Bruhlmann, F.; Odetola, T.D.; Dipeolu, O.; Grohbiel, U.; Ajuwon, A.J. Instant messaging and nursing students’ clinical learning experience. Nurse Educ. Today 2018, 64, 119–124. [Google Scholar] [CrossRef] [PubMed]
- Siemsen, E.; Roth, A.; Oliveira, P. Common method bias in regression models with linear, quadratic, and interaction effects. Organ. Res. Methods 2010, 13, 456–476. [Google Scholar] [CrossRef]
Characteristics | Percent (%) | |
---|---|---|
Gender | Male | 28.4 |
Female | 71.6 | |
Age | Under 25 | 9.8 |
26–30 | 54.3 | |
36–40 | 18.1 | |
41–45 | 14.6 | |
Over 45 | 3.3 | |
Education | Technical or Mechanical | 15.3 |
Bachelor | 52.3 | |
Master | 32.4 | |
Work experience (years) | Under 5 | 41.7 |
5–10 | 37.2 | |
11–15 | 12.6 | |
16–20 | 5.8 | |
Over 20 | 2.8 | |
Types of company | State-owned enterprise | 10.8 |
Private enterprise | 72.1 | |
Foreign enterprise | 14.3 | |
Joint venture | 1.5 | |
Government and institutions | 1.3 |
Variable | M | SD | AVE | 1 | 2 | 3 | 4 |
---|---|---|---|---|---|---|---|
SEND | 2.774 | 0.928 | 0.903 | 0.982 | |||
GPrg | 3.602 | 0.654 | 0.754 | 0.169 ** | 0.936 | ||
UR | 3.509 | 0.670 | 0.775 | 0.463 ** | 0.345 ** | 0.938 | |
Help | 3.967 | 0.544 | 0.865 | 0.079 | 0.495 ** | 0.288 ** | 0.982 |
Dependent Variable | ||||||
---|---|---|---|---|---|---|
Perceived Goal Progress | Help | |||||
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
Intercept | 3.273 ** | 2.417 ** | 2.312 ** | 3.838 ** | 2.486 ** | 2.490 ** |
SEND | 0.119 * | 0.008 | −0.023 | 0.046 | −0.003 | |
UR | 0.331 ** | 0.375 ** | ||||
Int | 0.125 * | |||||
GPrg | 0.411 ** | 0.412 ** | ||||
R2 | 0.028 | 0.118 | 0.139 | 0.006 | 0.245 | 0.245 |
△R2 | 0.091 ** | 0.021 * | 0.241 ** |
Path: SEND->GPrg->Help | 95%CI | ||||
---|---|---|---|---|---|
Total effect | se | t | p | LLCI | ULCI |
0.046 | 0.029 | 1.582 | 0.115 | −0.011 | 0.104 |
Direct effect | |||||
−0.003 | 0.026 | −0.097 | 0.923 | −0.054 | 0.049 |
Indirect effect | BootSE | BootLLCI | BootULCI | ||
0.048 | 0.020 | 0.014 | 0.092 |
Estimate | S.E. | p | CI95% | ||
---|---|---|---|---|---|
Lower 2.5% | Upper 2.5% | ||||
Slope | |||||
Mean + 1SD | 0.061 | 0.044 | 0.162 | −0.032 | 0.142 |
Mean − 1SD | −0.106 | 0.066 | 0.105 | −0.226 | 0.034 |
Difference | 0.167 | 0.074 | 0.023 | 0.005 | 0.294 |
Direct effect | |||||
Mean + 1SD | 0.411 | 0.081 | 0.000 | 0.254 | 0.581 |
Mean − 1SD | −0.416 | 0.079 | 0.000 | −0.582 | −0.273 |
Difference | 0.826 | 0.150 | 0.000 | 0.555 | 1.152 |
Indirect effect | |||||
Mean + 1SD | 0.025 | 0.018 | 0.159 | −0.013 | 0.059 |
Mean − 1SD | −0.044 | 0.027 | 0.101 | −0.094 | 0.013 |
Difference | 0.069 | 0.029 | 0.019 | 0.007 | 0.124 |
Total effect | |||||
Mean + 1SD | 0.436 | 0.083 | 0.000 | 0.280 | 0.608 |
Mean − 1SD | −0.459 | 0.082 | 0.000 | −0.632 | −0.309 |
Difference | 0.895 | 0.152 | 0.000 | 0.619 | 1.219 |
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Jiang, X.; Du, J.; Yang, T.; Zhou, J. Sustainable Interpersonal Interaction: Research on Instant Message and Helping from the Perspective of Sender. Sustainability 2021, 13, 402. https://doi.org/10.3390/su13010402
Jiang X, Du J, Yang T, Zhou J. Sustainable Interpersonal Interaction: Research on Instant Message and Helping from the Perspective of Sender. Sustainability. 2021; 13(1):402. https://doi.org/10.3390/su13010402
Chicago/Turabian StyleJiang, Xia, Jing Du, Tianfei Yang, and Jinfan Zhou. 2021. "Sustainable Interpersonal Interaction: Research on Instant Message and Helping from the Perspective of Sender" Sustainability 13, no. 1: 402. https://doi.org/10.3390/su13010402
APA StyleJiang, X., Du, J., Yang, T., & Zhou, J. (2021). Sustainable Interpersonal Interaction: Research on Instant Message and Helping from the Perspective of Sender. Sustainability, 13(1), 402. https://doi.org/10.3390/su13010402