research-article

Effects of support and job demands on social media use and work outcomes

Author:

Peerayuth CharoensukmongkolAuthors Info & Claims

Computers in Human Behavior, Volume 36, Issue C

Pages 340 - 349

https://doi.org/10.1016/j.chb.2014.03.061

Published: 01 July 2014 Publication History

Abstract

We investigated some organizational factors that determine social media use at work.We investigated if social media use at work affects job-related outcomes.Coworker support and job demands positively associate with social media use at work.Supervisor support negatively correlates with social media use at work.Social media use at work positively correlates with job-related outcomes. Studies related to the use of social media in the workplace are still somewhat scarce despite their increasing popularity in social media research. This paper aims to investigate how employee perceptions of a workplace related to coworker support, supervisor support, and job-related demands can determine the degree of attachment some employees feel to social media use at work. The study also explores some consequences of social media use at work by analyzing its associations with job satisfaction, job performance, and cognitive absorption. The data was collected through the snowball sampling technique of 170 employees in Thailand and analyzed using partial least squares regression. For the factors predicted to influence social media use at work, the analysis found that coworker support and job demands are positively associated with social media use intensity, while supervisor support is negatively associated with it. The analysis also found a positive association between job satisfaction and job performance and social media use at work. An indirect relationship between social media use and cognitive absorption was also found through the mediating effect of job satisfaction. Overall, the evidence suggests that social media use at work may not necessarily lead to negative job-related outcomes.

References

[1]

C.S. Andreassen, T. Torsheim, G.S. Brunborg, S. Pallesen, Development of a Facebook addiction scale, Psychological Reports, 110 (2012) 501-517.

[2]

M.E. Babcock-Roberson, O.J. Strickland, The relationship between charismatic leadership, work engagement, and organizational citizenship behaviors, Journal of Psychology, 144 (2010) 313-326.

[3]

A.B. Bakker, P.M. Bal, Weekly work engagement and performance: A study among starting teachers, Journal of Occupational and Organizational Psychology, 83 (2010) 189-206.

[4]

A.B. Bakker, W.B. Schaufeli, M.P. Leiter, T.W. Taris, Work engagement: An emerging concept in occupational health psychology, Work and Stress, 22 (2008) 187-200.

[5]

S. Biswas, Psychological climate as an antecedent of job satisfaction and job involvement, Indian Journal of Industrial Relations, 46 (2011) 465-477.

[6]

D. Bouckenooghe, U. Raja, A.N. Butt, Combined effects of positive and negative affectivity and job satisfaction on job performance and turnover intentions, Journal of Psychology, 147 (2013) 105-123.

[7]

C. Cammann, M. Fichman, G.D. Jenkins, J.R. Klesh, Assessing the attitudes and perceptions of organizational members, in: Assessing organizational change: A guide to methods, measures, and practices, Wiley, New York, NY, 1983, pp. 71-138.

[8]

Cao, X., Vogel, D. R., Guo, X., Liu, H., & Gu, J. (2012). Understanding the influence of social media in the workplace: An integration of media synchronicity and social capital theories. Paper presented at the Hawaii international conference on system science (HICSS). Maui, HI.

Digital Library

[9]

C.-W. Chang, J. Heo, Visiting theories that predict college students' self-disclosure on Facebook, Computers in Human Behavior, 30 (2014) 79-86.

Digital Library

[10]

W.W. Chin, P.R. Newsted, Structural equation modeling analysis with small samples using partial least squares, in: Statistical Strategies for Small Sample Research, Sage, Thousand Oaks, CA, 1999, pp. 307-341.

[11]

B. Chiquoine, E. Hjalmarsson, Jackknifing stock return predictions, Journal of Empirical Finance, 16 (2009) 793-803.

[12]

W.S. Chow, L.S. Chan, Social network, social trust and shared goals in organizational knowledge sharing, Information and Management, 45 (2008) 458-465.

Digital Library

[13]

E. Demerouti, A.B. Bakker, Y. Fried, Work orientations in the job demands-resources model, Journal of Managerial Psychology, 27 (2012) 557-575.

[14]

E. Demerouti, A.B. Bakker, F. Nachreiner, W.B. Schaufeli, The job demands-resources model of burnout, Journal of Applied Psychology, 86 (2001) 499-512.

[15]

A.R. Dennis, R.M. Fuller, J.S. Valacich, Media, tasks, and communication processes: A theory of media synchronicity, MIS Quarterly, 32 (2008) 575-600.

Digital Library

[16]

L.I.U. Dong, T.R. Mitchell, T.W. Lee, B.C. Holtom, T.R. Hinkin, When employees are out of step with coworkers: How job satisfaction trajectory and dispersion influence individual- and unit-level voluntary turnover, Academy of Management Journal, 55 (2012) 1360-1380.

[17]

R. Eisenberger, R. Huntington, S. Hutchinson, D. Sowa, Perceived organizational support, Journal of Applied Psychology, 71:3 (1986) 500-507.

[18]

N.B. Ellison, C. Steinfield, C. Lampe, The benefits of Facebook ''friends": Social capital and college students' use of online social network sites, Journal of Computer - Mediated Communication, 12 (2007) 1143-1168.

[19]

A. Ertureten, Z. Cemalcilar, Z. Aycan, The relationship of downward mobbing with leadership style and organizational attitudes, Journal of Business Ethics, 116 (2013) 205-216.

[20]

M.J. Fay, S.L. Kline, Coworker relationships and informal communication in high-intensity telecommuting, Journal of Applied Communication Research, 39 (2011) 144-163.

[21]

C. Fornell, F.L. Bookstein, Two structural equation models: LISREL and PLS applied to consumer exit-voice theory, Journal of Marketing Research, 19 (1982) 440-452.

[22]

C. Fornell, D. Larcker, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18 (1981) 39-50.

[23]

N. Gaan, Stress, social support, job attitudes and job outcome across gender, ICFAI Journal of Organizational Behavior, 7 (2008) 34-44.

[24]

M.D. Griffiths, Facebook addiction: Concerns, criticism, and recommendations - A response to Andreassen and colleagues, Psychological Reports, 110 (2012) 518-520.

[25]

J.F. Hair, W.C. Black, B.J. Babin, R.E. Anderson, Multivariate data analysis, Prentice Hall, Upper Saddle River, NJ, 2009.

[26]

J.A. Hausser, A. Mojzisch, M. Niesel, S. Schulz-Hardt, Ten years on: A review of recent research on the Job Demand-Control (-Support) model and psychological well-being, Work and Stress, 24 (2010) 1-35.

[27]

V.T. Ho, W. Sze-Sze, L. Chay Hoon, A tale of passion: Linking job passion and cognitive engagement to employee work performance, Journal of Management Studies, 48 (2011) 26-47.

[28]

M. Kalpidou, D. Costin, J. Morris, The relationship between Facebook and the well-being of undergraduate college students, Cyberpsychology, Behavior, and Social Networking, 14 (2011) 183-189.

[29]

A.M. Kaplan, M. Haenlein, Users of the world, unite! The challenges and opportunities of Social Media, Business Horizons, 53 (2010) 59-68.

[30]

D. Karaiskos, E. Tzavellas, G. Balta, T. Paparrigopoulos, P02-232 - Social network addiction: A new clinical disorder?, European Psychiatry, 25 (2010) 855.

[31]

R. Karasek, C. Brisson, N. Kawakami, I. Houtman, P. Bongers, B. Amick, The job content questionnaire (JCQ): An instrument for internationally comparative assessments of psychosocial job characteristics, Journal of Occupational Health Psychology, 3 (1998) 322-355.

[32]

J. Kim, J.-E.R. Lee, The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being, CyberPsychology, Behavior and Social Networking, 14 (2011) 359-364.

[33]

P.A. Kirschner, A.C. Karpinski, Facebook¿ and academic performance, Computers in Human Behavior, 26 (2010) 1237-1245.

Digital Library

[34]

Kock, N. (2012). WarpPLS 3.0 User Manual. Laredo, TX: ScriptWarp Systems.

[35]

N. Kock, G.S. Lynn, Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations, Journal of the Association for Information Systems, 13 (2012) 546-580.

[36]

C.J. König, M.E. Caner de la Guardia, Exploring the positive side of personal internet use at work: Does it help in managing the border between work and nonwork?, Computers in Human Behavior, 30 (2014) 355-360.

Digital Library

[37]

C.-P. Lin, Modeling corporate citizenship, organizational trust, and work engagement based on attachment theory, Journal of Business Ethics, 94 (2010) 517-531.

[38]

M. Lindell, D. Whitney, Accounting for common method variance in cross-sectional research designs, Journal of Applied Psychology, 86 (2001) 114-121.

[39]

E.A. Locke, The nature and causes of job satisfaction, in: Handbook of Industrial and Organizational Psychology, Rand McNally, Chicago, IL, 1976, pp. 1297-1349.

[40]

S.E. Maxwell, D.A. Cole, Bias in cross-sectional analyses of longitudinal mediation, Psychological Methods, 12 (2007) 23-44.

[41]

B. Menguc, J.P. Boichuk, Customer orientation dissimilarity, sales unit identification, and customer-directed extra-role behaviors: Understanding the contingency role of coworker support, Journal of Business Research, 65 (2012) 1357-1363.

[42]

J.S. Michel, L.M. Kotrba, J.K. Mitchelson, M.A. Clark, B.B. Baltes, Antecedents of work-family conflict: A meta-analytic review, Journal of Organizational Behavior, 32 (2011) 689-725.

[43]

Millward, S. (2013). Thailand now has 18 million social media users. Tech in Asia. <http://www.techinasia.com/thailand-18-million-social-media-users-in-2013/> (Retrieved 2.01.14).

[44]

R.D. Mohr, C. Zoghi, High-involvement work design and job satisfaction, Industrial and Labor Relations Review, 61 (2008) 275-296.

[45]

M.A. Moqbel, S. Nevo, N. Kock, Organizational members' use of social networking sites and job performance: An exploratory study, Information Technology and People, 26 (2013) 240-264.

[46]

A. Nadkarni, S.G. Hofmann, Why do people use Facebook?, Personality and Individual Differences, 52 (2012) 243-249.

[47]

H.J. Oh, E. Ozkaya, R. LaRose, How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction, Computers in Human Behavior, 30 (2014) 69-78.

Digital Library

[48]

N. Park, K.F. Kee, S. Valenzuela, Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes, CyberPsychology and Behavior, 12 (2009) 729-733.

[49]

S. Petter, D. Straub, A. Rai, Specifying formative constructs in information systems research, MIS Quarterly, 31 (2007) 623-656.

Digital Library

[50]

K.J. Preacher, A.F. Hayes, SPSS and SAS procedures for estimating indirect effects in simple mediation models, Behavior Research Methods, Instruments, and Computers, 36 (2004) 717-731.

[51]

J. Raacke, J. Bonds-Raacke, MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites, CyberPsychology and Behavior, 11 (2008) 169-174.

[52]

M.S. Rehman, Exploring the impact of human resources management on organizational performance: A study of public sector organizations, Journal of Business Studies Quarterly, 2 (2011) 1-16.

[53]

L. Reinecke, S. Trepte, Authenticity and well-being on social network sites: A two-wave longitudinal study on the effects of online authenticity and the positivity bias in SNS communication, Computers in Human Behavior, 30 (2014) 95-102.

Digital Library

[54]

M.A. Sacks, N. Graves, How many "Friends" do you need? Teaching students how to network using social media, Business Communication Quarterly, 75 (2012) 80-88.

[55]

W.B. Schaufeli, A.B. Bakker, M. Salanova, The measurement of work engagement with a short questionnaire: A cross-national study, Educational and Psychological Measurement, 66 (2006) 701-716.

[56]

W. Schaufeli, M. Salanova, V. González-romá, A. Bakker, The measurement of engagement and burnout: A two sample confirmatory factor analytic approach, Journal of Happiness Studies, 3 (2002) 71-92.

[57]

B.H.J. Schreurs, I.J. Hetty van Emmerik, H. Günter, F. Germeys, A weekly diary study on the buffering role of social support in the relationship between job insecurity and employee performance, Human Resource Management, 51 (2012) 259-279.

[58]

P. Singh, D. Suar, M.P. Leiter, Antecedents, work-related consequences, and buffers of job burnout among Indian software developers, Journal of Leadership and Organizational Studies, 19 (2012) 83-104.

[59]

Skeels, M. M., & Grudin, J. (2009). When social networks cross boundaries: A case study of workplace use of Facebook and LinkedIn. Paper presented at the ACM 2009 International conference on supporting group work. New York, NY.

Digital Library

[60]

M. Smayling, H. Miller, Job satisfaction and job performance at the internship level, Journal of Leadership, Accountability and Ethics, 9 (2012) 27-33.

[61]

R.T. Sparrowe, R.C. Liden, S.J. Wayne, M.L. Kraimer, Social networks and the performance of individuals and groups, Academy of Management Journal, 44 (2001) 316-325.

[62]

H.K. Tang, An inventory of organizational innovativeness, Technovation, 19 (1998) 41-51.

[63]

H.H.M. Tse, X. Huang, W. Lam, Why does transformational leadership matter for employee turnover? A multi-foci social exchange perspective, Leadership Quarterly, 24 (2013) 763-776.

[64]

Z. Yunxia, F. Jianmin, Does the relationship between job satisfaction and job performance depend on culture?, Academy of Management Perspectives, 24 (2010) 86-87.

[65]

C.D. Zatzick, R.D. Iverson, Putting employee involvement in context: A cross-level model examining job satisfaction and absenteeism in high-involvement work systems, International Journal of Human Resource Management, 22 (2011) 3462-3476.

[66]

Z. Zhang, M. Jia, Using social exchange theory to predict the effects of high-performance human resource practices on corporate entrepreneurship: Evidence from China, Human Resource Management, 49 (2010) 743-765.

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Published In

cover image Computers in Human Behavior

Computers in Human Behavior Volume 36, Issue C

July 2014

560 pages

ISSN:0747-5632

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Copyright © Elsevier Ltd.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 July 2014

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Cited By

He H(2022)A comprehensive review on the role of online media in sustainable business development and decision makingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-022-06993-126:20(10789-10803)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1007/s00500-022-06993-1
Ndung'u JVertinsky IOdhiambo Onyango J(2021)The Effect of Social Media Use On Competency and Task Performance Among Faculty in Kenya Private UniversitiesProceedings of the 13th International Conference on Education Technology and Computers10.1145/3498765.3498829(407-411)Online publication date: 22-Oct-2021
https://dl.acm.org/doi/10.1145/3498765.3498829
Cai DLiu JZhao HLi M(2020)Could social media help in newcomers' socialization? The moderating effect of newcomers’ utilitarian motivationComputers in Human Behavior10.1016/j.chb.2020.106273107:COnline publication date: 1-Jun-2020
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Moqbel MKock N(2018)Unveiling the dark side of social networking sitesInformation and Management10.1016/j.im.2017.05.00155:1(109-119)Online publication date: 1-Jan-2018
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van Zoonen WVerhoeven JVliegenthart R(2016)How employees use Twitter to talk about workComputers in Human Behavior10.1016/j.chb.2015.09.02155:PA(329-339)Online publication date: 1-Feb-2016
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Kock NChatelain-Jardón R(2016)Surprise-enhanced and technology-mediated learningCognition, Technology and Work10.1007/s10111-015-0349-818:1(105-119)Online publication date: 1-Feb-2016
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Charoensukmongkol P(2015)Social Media Use and Job PerformanceInternational Journal of Cyber Behavior, Psychology and Learning10.4018/IJCBPL.20150401055:2(59-74)Online publication date: 1-Apr-2015
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