Enterprise social media: combating turnover in businesses

The purpose of this study is to investigate how enterprise social media (ESM) use combats turnover by impacting work perceptions, and ultimately turnover intention.,This study undertook a survey at a major information technology (IT) corporation. Data from a total of 276 working professionals were collected to test the proposed research model.,The structural equation modeling results show that ESM increase workplace integration; workplace integration decreased turnover intention, augmented job satisfaction and also reduced job tensions (perceived work stress) – job satisfaction and work stress perceptions influenced turnover intention.,Low response bias is one of the limitations in this study, although this study used a priori and post hoc measures to mitigate non-response bias. This study contributed to the theory by improving our understanding of the role of ESM in combating turnover by impacting work perceptions through the lens of social capital and emotional dissonance theories. This study also has practical implications for managers. The results suggest that incorporating ESM within organizations improves employees' perceptions and behaviors – providing an option for managers to consider it as a way to save costs associated with employee turnover.,Although several studies have been conducted on ESM, our understanding of the impact of ESM on work perceptions and turnover is still far from complete. This paper helps to close the gap in literature by improving our understanding of how ESM combats turnover by influencing work perceptions in an organization, which provides an essential contribution to research and practice in the field.

[1]  Lisa Giermindl.  Lost in Digital Transformation? The role of Enterprise Social Networks in facilitating digital collaboration , 2019 .

[2]  Qing Chang,et al.  How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research , 2006, J. Assoc. Inf. Syst..

[3]  M. Lindell,et al.  Accounting for common method variance in cross-sectional research designs. , 2001, The Journal of applied psychology.

[4]  Richard M. Steers,et al.  Organizational, work, and personal factors in employee turnover and absenteeism. , 1973 .

[5]  M. S. Weber,et al.  Enterprise Social Media , 2016 .

[6]  N. Kock.  Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach , 2015, Int. J. e Collab..

[7]  A. Tziner,et al.  Assessing the Costs of Behavioral and Psychological Withdrawal: A New Model and an Empirical Illustration , 2002 .

[8]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[9]  J. Gastwirth,et al.  A robust modification of the Jarque–Bera test of normality , 2008 .

[10]  Ned Kock,et al.  Intended Continued Use Social Networking Sites: Effects on Job Satisfaction and Performance , 2016, Int. J. Virtual Communities Soc. Netw..

[11]  Jennifer L. Gibbs,et al.  The Use of Enterprise Social Network Sites for Knowledge Sharing in Distributed Organizations , 2015 .

[12]  R. Putnam.  Bowling Alone: America's Declining Social Capital , 1995 .

[13]  Greg W. Marshall,et al.  Workplace Isolation, Salesperson Commitment, and Job Performance , 2008 .

[14]  R. Burt.  Structural Holes and Good Ideas1 , 2004, American Journal of Sociology.

[15]  A. H. Brayfield,et al.  Employee attitudes and employee performance. , 1955, Psychological bulletin.

[16]  Cliff Lampe,et al.  Cultivating Social Resources on Social Network Sites: Facebook Relationship Maintenance Behaviors and Their Role in Social Capital Processes , 2014, J. Comput. Mediat. Commun..

[17]  A. Bell,et al.  Job stress, wellbeing, work-life balance and work-life conflict among Australian academics , 2012 .

[18]  Dorit Nevo,et al.  Linking dimensions of social media use to job performance: The role of social capital , 2015, J. Strateg. Inf. Syst..

[19]  Paul M. Leonardi,et al.  Enterprise Social Media: Definition, History, and Prospects for the Study of Social Technologies in Organizations , 2013, J. Comput. Mediat. Commun..

[20]  Wei-Lun Chang,et al.  Nurturing user creative performance in social media networks: An integration of habit of use with social capital and information exchange theories , 2016, Internet Res..

[21]  MntymkiMatti,et al.  Enterprise social networking , 2016 .

[22]  Anil K. Bera,et al.  Efficient tests for normality, homoscedasticity and serial independence of regression residuals: Monte Carlo Evidence , 1981 .

[23]  Nicole B. Ellison,et al.  Managing Impressions Online: Self-Presentation Processes in the Online Dating Environment , 2006, J. Comput. Mediat. Commun..

[24]  Kenneth A. Bollen,et al.  Total, Direct, and Indirect Effects in Structural Equation Models , 1987 .

[25]  David G. Allen,et al.  Meta-Analytic Review of Employee Turnover as a Predictor of Firm Performance , 2013 .

[26]  Saggi Nevo,et al.  Organizational members' use of social networking sites and job performance: An exploratory study , 2013, Inf. Technol. People.

[27]  Timothy R. Hinkin,et al.  The Cost of Turnover , 2000 .

[28]  Kim-Kwang Raymond Choo,et al.  Exploring Factors Influencing the Use of Enterprise Social Networks in Multinational Professional Service Firms , 2015, J. Organ. Comput. Electron. Commer..

[29]  Fernando Jaramillo,et al.  Workplace isolation: salespeople and supervisors in USA , 2011 .

[30]  WadeMichael,et al.  Linking dimensions of social media use to job performance , 2015 .

[31]  R Abraham,et al.  The impact of emotional dissonance on organizational commitment and intention to turnover. , 1999, The Journal of psychology.

[32]  Alicia A. Grandey,et al.  WHEN 'THE SHOW MUST GO ON': SURFACE ACTING AND DEEP ACTING AS DETERMINANTS OF EMOTIONAL EXHAUSTION AND PEER-RATED SERVICE DELIVERY , 2003 .

[33]  G. Ironson,et al.  A General Measure of Work Stress: The Stress in General Scale , 2001 .

[34]  Giuseppe Labianca,et al.  A social network perspective on turnover intentions: The role of distributive justice and social support , 2013 .

[35]  Edwin A. Locke,et al.  Personnel Attitudes and Motivation , 1975 .

[36]  N. Ellison,et al.  Social capital, self-esteem, and use of online social network sites: A longitudinal analysis , 2008 .

[37]  A. Kaplan,et al.  A Beginner's Guide to Partial Least Squares Analysis , 2004 .

[38]  Chris J. Sablynski,et al.  WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNTARY TURNOVER , 2001 .

[39]  B. Campbell,et al.  Personality and gene expression: Do individual differences exist in the leukocyte transcriptome? , 2015, Psychoneuroendocrinology.

[40]  Ian Brissette,et al.  The role of optimism in social network development, coping, and psychological adjustment during a life transition. , 2002, Journal of personality and social psychology.

[41]  R. Burt.  The contingent value of social capital. , 1997 .

[42]  N. Aaronson,et al.  Effectiveness of behavioral techniques and physical exercise on psychosocial functioning and health‐related quality of life in breast cancer patients and survivors—a meta‐analysis , 2011, Psycho-oncology.

[43]  John P. Hausknecht,et al.  One Hundred Years of Employee Turnover Theory and Research , 2017, The Journal of applied psychology.

[44]  S. Blithe.  Creating the Water Cooler: Virtual Workers' Discursive Practices of Gossip , 2014 .

[45]  Terence R. Mitchell,et al.  5 Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future , 2008 .

[46]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[47]  Gregory B. Lewis,et al.  The Aging of the State Government Workforce: Trends and Implications , 2011 .

[48]  Ned Kock,et al.  A Note on How to Conduct a Factor-Based PLS-SEM Analysis , 2015, Int. J. e Collab..

[49]  M. Barak,et al.  Stress, Social Support, and Workers' Intentions to Leave Their Jobs in Public Child Welfare , 2005 .

[50]  F. Requena,et al.  Social Capital, Satisfaction and Quality of Life in the Workplace , 2003 .

[51]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[52]  Milton Mayfield,et al.  The creative environment's influence on intent to turnover , 2007 .

[53]  Pelin Vardarlıer,et al.  Social Media's Role in Developing an Employees Sense of Belonging in the Work Place as an HRM Strategy , 2013 .

[54]  Matti Mäntymäki,et al.  Enterprise social networking: A knowledge management perspective , 2016, Int. J. Inf. Manag..

[55]  Daniel A. Newman,et al.  How Important are Job Attitudes? Meta-Analytic Comparisons of Integrative Behavioral Outcomes and Time Sequences , 2006 .

[56]  S. Ghoshal,et al.  SOCIAL CAPITAL, INTELLECTUAL CAPITAL AND THE CREATION OF VALUE IN FIRMS. , 1997 .

[57]  Greg W. Marshall,et al.  Workplace isolation: Exploring the construct and its measurement , 2007 .

[58]  Sherry D. Ryan,et al.  Turnover Intention of Technology Professionals: A Social Exchange Theory Perspective , 2018, J. Comput. Inf. Syst..

[59]  M. Youndt,et al.  Turnover and Knowledge Loss: An Examination of the Differential Impact of Production Manager and Worker Turnover in Service and Manufacturing Firms , 2014 .

[60]  J. Feldon,et al.  Effect of social isolation on stress-related behavioural and neuroendocrine state in the rat , 2004, Behavioural Brain Research.

[61]  Paul E. Spector.  Measurement of human service staff satisfaction: Development of the Job Satisfaction Survey , 1985, American journal of community psychology.

[62]  Anat Rafaeli,et al.  Expression of Emotion as Part of the Work Role , 1987 .

[63]  Gregory B. Lewis,et al.  Turnover Intention and Turnover Behavior , 2012 .

[64]  Nathan P. Podsakoff,et al.  Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: a meta-analysis. , 2007, The Journal of applied psychology.

[65]  Georg von Krogh,et al.  How does social software change knowledge management? Toward a strategic research agenda , 2012, J. Strateg. Inf. Syst..

[66]  Xiongfei Cao,et al.  Exploring the influence of social media on employee work performance , 2016, Internet Res..

[67]  Steve Sawyer,et al.  Social Technologies, Informal Knowledge Practices, and the Enterprise , 2013, J. Organ. Comput. Electron. Commer..

[68]  Gerald C. Kane,et al.  What's in IT for employees? Understanding the relationship between use and performance in enterprise social software , 2015, J. Strateg. Inf. Syst..

[69]  Dorothy E. Leidner,et al.  Bridging the work/social divide: the emotional response to organizational social networking sites , 2012, Eur. J. Inf. Syst..

[70]  R. Humphrey,et al.  A meta‐analysis of emotional intelligence and work attitudes , 2017 .

[71]  Ned Kock,et al.  Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations , 2012, J. Assoc. Inf. Syst..

[72]  Ned Kock,et al.  Social Networking Site Use, Positive Emotions, and Job Performance , 2019, J. Comput. Inf. Syst..

[73]  V. Ariyabuddhiphongs,et al.  Creativity and turnover intention among hotel chefs: The mediating effects of job satisfaction and job stress , 2016 .

[74]  H. Kwon.  A Social Embeddedness Perspective on Turnover Intention: The Role of Informal Networks and Social Identity Evidence From South Korea , 2017 .

[75]  Darshana Sedera,et al.  Special Issue Editorial: Enterprise Systems Frontiers , 2018, J. Inf. Technol. Theory Appl..