Advertisement

Business & Information Systems Engineering

, Volume 57, Issue 3, pp 181–196 | Cite as

Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software

  • Maurice Kügler
  • Sven Dittes
  • Stefan Smolnik
  • Alexander Richter
Research Paper

Abstract

Companies are increasingly adopting social software to support collaboration and networking. Although increasing their employees’ connectedness is a major driver for organizations to deploy enterprise social software (ESS), the social connectedness concept itself is still not sufficiently defined and conceptualized. The study therefore provides a richer perspective on social connectedness’s role in an ESS context. The authors thus investigate (1) social connectedness’s antecedents and (2) its impact on employees’ individual performance. With a survey-based investigation among 174 employees of an international business software provider headquartered in Germany, the authors show that both reputation and a critical mass significantly influence employees’ social connectedness. The authors further find that reputation’s effect is significantly stronger than critical mass’s effect and that social connectedness influences employees’ individual performance positively. The findings are discussed in the light of psychological studies and deduce implications for theory and practice.

Keywords

Enterprise social software Social connectedness Impact of IS use Individual performance Reputation Critical mass Survey-based research 

Supplementary material

12599_2015_379_MOESM1_ESM.pdf (36 kb)
Supplementary material 1 (PDF 35 kb)

References

  1. Adler PS, Kwon S-W (2002) Social capital: prospects for a new concept. Acad Manag Rev 27(1):17–40Google Scholar
  2. Alavi M, Leidner DE (2001) Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q 25(1):107–136CrossRefGoogle Scholar
  3. Alavi M, Kayworth TR, Leidner DE (2006) An empirical examination of the influence of organizational culture on knowledge management practices. J Manag Inf Syst 22(3):191–224CrossRefGoogle Scholar
  4. Aral S, Dellarocas C, Godes D (2013) Introduction to the special issue – social media and business transformation: a framework for research. Inf Syst Res 24(1):3–13CrossRefGoogle Scholar
  5. Ashforth BE, Mael F (1989) Social identity theory and the organization. Acad Manag Rev 14(1):20–39Google Scholar
  6. Bandiera O, Barankay I, Rasul I (2005) Social preferences and the response to incentives: evidence from personnel data. Q J Econ 120(3):917–962Google Scholar
  7. Bandiera O, Barankay I, Rasul I (2008) Social capital in the workplace: evidence on its formation and consequences. Labour Econ 15(4):724–748CrossRefGoogle Scholar
  8. Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182CrossRefGoogle Scholar
  9. Baumeister RF, Leary MR (1995) The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol Bull 117(3):497–529CrossRefGoogle Scholar
  10. Bock G, Zmud RW, Kim Y, Lee J (2005) Behavioral intention-formation in knowledge sharing: examining the roles of extrinsic motivators, socio-psychological factors, and organizational climate. MIS Q 29(1):87–111Google Scholar
  11. Bowlby J (1982) Attachment and loss: retrospect and prospect. Am J Orthopsychiatry 52(4):664–678CrossRefGoogle Scholar
  12. Bradner E (2001) Social affordances of computer-mediated communication technology: understanding adoption. In: Proceedings of the CHI’01 ext abstr hum factors comput syst, Seattle, pp 67–68Google Scholar
  13. Brenner O, Blazini AP, Greenhaus JH (1988) An examination of race and sex differences in managerial work values. J Vocat Behav 32(3):336–344CrossRefGoogle Scholar
  14. Burt R (1992) Structural holes: the social structure of competition. Harvard University Press, CambridgeGoogle Scholar
  15. Chan C, Morgan J (2011) State of enterprise 2.0 collaboration – Q2 2011. Chess Media Group, VancouverGoogle Scholar
  16. Chin WW (1998) The partial least squares approach to structural equation modeling. In: Marcoulides GA (ed) Modern methods for business research. Lawrence Erlbaum Associates, Hillsdale, pp 295–336Google Scholar
  17. Chin WW (2004) Frequently asked questions – partial least squares & PLS-graph: multi-group analysis with PLS. http://disc-nt.cba.uh.edu/chin/plsfaq/contents.htm. Accessed 11 Oct 2013
  18. Chin WW, Marcolin BL, Newsted PR (2003) A partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Inf Syst Res 14(2):189–217CrossRefGoogle Scholar
  19. Cho H (2011) Theoretical intersections among social influences, beliefs, and intentions in the context of 3G mobile services in singapore: decomposing perceived critical mass and subjective norms. J Commun 61(2):283–306CrossRefGoogle Scholar
  20. Chui M, Manyika J, Bughin J, Dobbs R, Roxbough C, Sarrazin H, Sands G, Westergren M (2012) The social economy: unlocking value and productivity through social technologies. McKinsey Global Institute, WashingtonGoogle Scholar
  21. Cohen J (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, HillsdaleGoogle Scholar
  22. Compeau DR, Higgins CA (1995a) Application of social cognitive theory to training for computer skills. Inf Syst Res 6(2):118–143CrossRefGoogle Scholar
  23. Compeau DR, Higgins CA (1995b) Computer self-efficacy: development of a measure and initial test. MIS Q 19(2):189–211CrossRefGoogle Scholar
  24. Compeau DR, Meister DB, Higgins CA (2007) From prediction to explanation: reconceptualizing and extending the perceived characteristics of innovating. J Assoc Inf Syst 8(8):211–218Google Scholar
  25. Constant D, Sproull L, Kiesler S (1996) The kindness of strangers: the usefulness of electronic weak ties for technical advice. Organ Sci 7(2):119–135CrossRefGoogle Scholar
  26. Cronbach LJ (1951) Coefficient alpha and the internal structure of tests. Psychometrika 16(3):297–334CrossRefGoogle Scholar
  27. Cronbach LJ (1971) Test validation. In: Thorndike RL (ed) Educational measurement, 2nd edn. Am Council on Education, Washington, pp 443–507Google Scholar
  28. Cross R, Cummings JL (2004) Tie and network correlations of individual performance in knowledge-intensive work. Acad Manag J 47(6):928–937CrossRefGoogle Scholar
  29. De Cremer D, Tyler TR (2005) A matter of intragroup status: the importance of respect for the viability of groups. In: Melissa C, Thomas-Hunt MC (eds) Status and groups (research on managing groups and teams). Emerald Group Publishing Limited, Bingley, pp 1–21Google Scholar
  30. Deci EL, Ryan RM (1987) The Support of autonomy and the control of behavior. J Pers Soc Psychol 53(6):1024–1037CrossRefGoogle Scholar
  31. Donath JS (1999) Identity and deception in the virtual community. In: Smith MA, Kollock P (eds) Communities in cyberspace. Routledge, New York, pp 29–59Google Scholar
  32. Dyer J, Nobeoka K (2000) Creating and managing a high performance knowledge-sharing network: the Toyota case. Strateg Manag J 21(3):345–367CrossRefGoogle Scholar
  33. Ellison NB, Steinfield C, Lampe C (2007) The benefits of facebook “friends”: social capital and college students’ use of online social network sites. J Comput-Mediat Commun 12(4):1143–1168CrossRefGoogle Scholar
  34. Faraj S, Jarvenpaa SL, Majchrzak A (2011) Knowledge collaboration in online communities. Organ Sci 22(5):1224–1239CrossRefGoogle Scholar
  35. Farzan R, DiMicco JM, Brownholtz B (2009) Spreading the honey: a system for maintaining an online community. In: Proceedings of the association for computing machinery (ACM) international conference supporting group work (GROUP), Sanibel Island, pp 31–40Google Scholar
  36. Fehr E, List JA (2004) The hidden costs and returns of incentives – trust and trustworthiness among CEOs. J Eur Econ Assoc 2(5):743–771CrossRefGoogle Scholar
  37. Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50CrossRefGoogle Scholar
  38. Frey BS, Jegen R (2001) Motivation crowding theory. J Econ Surv 15(5):589–611CrossRefGoogle Scholar
  39. Fulk J, Yuan YC (2013) Location, motivation, and social capitalization via enterprise social networking. J Comput-Mediat Commun 19(1):20–37CrossRefGoogle Scholar
  40. Gao G, Hinds P, Zhao C (2013) Closure vs. structural holes: how social network information and culture affect choice of collaborators. In: Proceedings of the 2013 conference on computer supported cooperative work (CSCW’13), San Antonio, pp 5–18Google Scholar
  41. Gefen D, Straub D (2005) A practical guide to factorial validity using PLS-graph: tutorial and annotated example. Commun Assoc Inf Syst 16(1):91–109Google Scholar
  42. Gefen D, Rigdon EE, Straub D (2011) An update and extension to SEM guidelines for administrative and social science research. MIS Q 35(2):iii–xivGoogle Scholar
  43. Gerbing DW, Anderson JC (1988) An updated paradigm for scale development incorporating unidimensionality and its assessment. J Mark Res 25(2):186–192CrossRefGoogle Scholar
  44. Goffman E (1959) The presentation of self in everyday life. Doubleday, Garden CityGoogle Scholar
  45. Goodhue DL, Thompson RD (1995) Task-technology fit and individual performance. MIS Q 19(2):213–236CrossRefGoogle Scholar
  46. Goswami S, Köbler F, Leimeister JM, Krcmar H (2010) Using online social networking to enhance social connectedness and social support for the elderly. In: Proceedings of the 31st international conference on information system (ICIS), St. LouisGoogle Scholar
  47. Gould S, Werbel JD (1983) Work involvement: a comparison of dual wage earner and single wage earner families. J Appl Psychol 68(2):313–319CrossRefGoogle Scholar
  48. Gray PH, Meister DB (2004) Knowledge sourcing effectiveness. Manag Sci 50(6):821–834CrossRefGoogle Scholar
  49. Gray PH, Parise S, Iyer B (2011) Innovation impacts of using social bookmarking systems. MIS Q 35(3):629–644Google Scholar
  50. Grieve R, Indian M, Witteveen K, Anne Tolan G, Marrington J (2013) Face-to-face or facebook: can social connectedness be derived online? Comput Hum Behav 29(3):604–609CrossRefGoogle Scholar
  51. Gu B, Jarvenpaa S (2003) Online discussion boards for technical support: the effect of token recognition on customer contributions. In: Proceedings of the 24th international conference on information system (ICIS), SeattleGoogle Scholar
  52. Gu B, Jarvenpaa S (2011) How formal structure of electronic knowledge sharing networks influences participation behavior in a global enterprise. In: Proceedings of the 32nd international conference on information system (ICIS), ShanghaiGoogle Scholar
  53. Hair JF, Sarstedt M, Pieper TM, Ringle CM (2012a) The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long Range Plan 45(5–6):320–340CrossRefGoogle Scholar
  54. Hair JF, Sarstedt M, Ringle CM, Mena JA (2012b) An assessment of the use of partial least squares structural equation modeling in marketing research. J Acad Mark Sci 40(3):414–433CrossRefGoogle Scholar
  55. Hamari J, Koivisto J, Sarsa H (2014) Does gamification work? A literature review of empirical studies on gamification. In: Proceedings of the 47th Hawaii international conference on system science (HICSS-47), Big Island, pp 3025–3034Google Scholar
  56. Hansen MT (1999) The search-transfer problem: the role of weak ties in sharing knowledge across organization subunits. Adm Sci Q 44(1):82–111CrossRefGoogle Scholar
  57. Healey M (2011) Rebooting the antisocial network. InformationWeek Reports. InformationWeek, New York Google Scholar
  58. Healey M (2012) Dislike – why employees aren’t taking to enterprise social networks, and what it can do to help. InformationWeek Reports. InformationWeek, New York Google Scholar
  59. Helm S, Eggert A, Garnefeld I (2010) Modeling the impact of corporate reputation on customer satisfaction and loyalty using partial least squares. In: Esposito Vinzi V, Chin WW, Henseler J, Wang H (eds) Handbook of partial least squares. Springer, Heidelberg, pp 515–534CrossRefGoogle Scholar
  60. Hester A (2011) A comparative analysis of the usage and infusion of wiki and non-wiki-based knowledge management systems. Inf Technol Manag 12(4):335–355CrossRefGoogle Scholar
  61. Hofstede GH (2001) Culture’s consequences: comparing values, behaviors, institutions and organizations across nations. SAGE Publications Inc, Thousand OaksGoogle Scholar
  62. Hofstede G, Neuijen B, Ohayv DD, Sanders G (1990) Measuring organizational cultures: a qualitative and quantitative study across twenty cases. Adm Sci Q 35(2):286–316CrossRefGoogle Scholar
  63. Hsu C-L, Lin JC-C (2008) Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation. Inf Manag 45(1):65–74CrossRefGoogle Scholar
  64. Hsu C-L, Lu H-P (2004) Why do people play on-line games? An extended tam with social influences and flow experience. Inf Manag 41(6):853–868CrossRefGoogle Scholar
  65. Huotari K, Hamari J (2012) Defining gamification: a service marketing perspective. In: Proceedings of the the 16th international academic mindtrek conference, Tampere, pp 17–22 Google Scholar
  66. IBM Corporation (2012) IBM SPSS statistics 21.0Google Scholar
  67. Iivari J (2005) An empirical test of the delone–mclean model of information system success. Data Base Adv Inf Syst 36(2):8–28CrossRefGoogle Scholar
  68. Iivari J (2014) Perceived sociability of use and individual use of social networking sites – a field study of facebook use in the arctic. Open J Inf Syst 1(1):23–53Google Scholar
  69. Ijsselsteijn W, van Baren J, van Lanen F (2003) Staying in touch: social presence and connectedness through synchronous and asynchronous communication media. In: Proceedings of the 10th international conference on human-computer interactions, Crete, pp 924–928Google Scholar
  70. Ijsselsteijn W, van Baren J, Markopoulos P, Romero N, De Ruyter B (2009) Measuring affective benefits and costs of mediated awareness: development and validation of the abc-questionnaire. In: Markopoulos P, De Ruyter B, Mackay W (eds) Awareness systems. Springer, Heidelberg, pp 473–488CrossRefGoogle Scholar
  71. Jansen JJP, Van Den Bosch FAJ, Volberda HW (2006) Exploratory innovation, exploitative innovation, and performance: effects of organizational antecedents and environmental moderators. Manag Sci 52(11):1661–1674CrossRefGoogle Scholar
  72. Jasperson JS, Carter PE, Zmud RW (2005) A comprehensive conceptualization of post-adoptive behaviours associated with information technology enabled work systems. MIS Q 29(3):525–557Google Scholar
  73. Jaworski BJ, Kohli AK (1993) Market orientation: antecedents and consequences. J Mark 57(3):53–70CrossRefGoogle Scholar
  74. Jeppesen LB, Frederiksen L (2006) Why do users contribute to firm-hosted user communities? The case of computer-controlled music instruments. Organ Sci 17(1):45–63CrossRefGoogle Scholar
  75. Jung J, Schneider C, Valacich J (2010) Enhancing the motivational affordance of information systems: the effects of real-time performance feedback and goal setting in group collaboration environments. Manag Sci 56(4):724–742CrossRefGoogle Scholar
  76. Kane GC, Fichman RG (2009) The shoemaker’s children: using wikis for information systems teaching, research, and publication. MIS Q 33(1):1–17Google Scholar
  77. Kane GC, Fichman RG, Gallaugher J, Glaser J (2009) Community relations 2.0. Harv Bus Rev 87(11):45–50Google Scholar
  78. Kane GC, Alavi M, Labianca GJ, Borgatti SP (2014a) What’s different about social media networks: a framework and research agenda. MIS Q 38(1):275–304Google Scholar
  79. Kane GC, Palmer D, Phillips AN, Kiron D (2014b) Finding the value in social business. MIT Sloan Manag Rev 55(3):81–88Google Scholar
  80. Kankanhalli A, Tan BCY, Wei K-K (2005) Contributing knowledge to electronic knowledge repositories: an empirical investigation. MIS Q 29(1):113–143Google Scholar
  81. Karahanna E, Straub DW, Chervany NL (1999) Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q 23(2):182–213CrossRefGoogle Scholar
  82. Katz ML, Shapiro C (1986) Technology adoption in the presence of network externalities. J Polit Econ 94(4):822–841CrossRefGoogle Scholar
  83. Kim H, Kim GJ, Park HW, Rice RE (2007) Configurations of relationships in different media: ftf, email, instant messenger, mobile phone, and sms. J Comput-Mediat Commun 12(4):1183–1207CrossRefGoogle Scholar
  84. Kiron D, Palmer D, Nguyen Phillips A, Berkman R (2013) Social business: shifting out of first gear. MIT Sloan Manag Rev Res Rep, CambridgeGoogle Scholar
  85. Köbler F, Riedl C, Vetter C, Leimeister JM, Krcmar H (2010) Social connectedness on facebook – an explorative study on status message usage. In: Proceedings of the 16th American conference on information system (AMCIS), LimaGoogle Scholar
  86. Koroleva K, Krasnova H, Veltri N, Günther O (2011) It’s all about networking! empirical investigation of social capital formation on social network sites. In: Proceedings of the 32nd international conference on information system (ICIS), ShanghaiGoogle Scholar
  87. Krasnova H, Spiekermann S, Koroleva K, Hildebrand T (2010) Online social networks: why we disclose. J Inf Technol 25(2):109–125CrossRefGoogle Scholar
  88. Krasnova H, Veltri NF, Günther O (2012) Self-disclosure and privacy calculus on social networking sites: the role of culture. Bus Inf Syst Eng 4(3):125–127CrossRefGoogle Scholar
  89. Kügler M, Smolnik S, Raeth P (2012) Why don’t you use it? Assessing the determinants of enterprise social software usage: a conceptual model integrating innovation diffusion and social capital theories. In: Proceedings of the 33rd international conference on information system (ICIS), OrlandoGoogle Scholar
  90. Lam C (2013) The efficacy of text messaging to improve social connectedness and team attitude in student technical communication projects: an experimental study. J Bus Tech Commun 27(2):180–208CrossRefGoogle Scholar
  91. Lampe CA, Ellison N, Steinfield C (2007) A familiar face (book): profile elements as signals in an online social network. In: Proceedings of the special interest group on computer–human interaction (SIGCHI) conference on human factors computer system. San Jose, pp 435–444Google Scholar
  92. Ledbetter AM, Mazer JP, DeGroot JM, Meyer KR, Mao Y, Swafford B (2011) Attitudes toward online social connection and self-disclosure as predictors of facebook communication and relational closeness. Commun Res 38(1):27–53CrossRefGoogle Scholar
  93. Lee AS, Baskerville RL (2003) Generalizing generalizability in information systems research. Inf Syst Res 14(3):221–243CrossRefGoogle Scholar
  94. Lee RM, Robbins SB (1995) Measuring belongingness: the social connectedness and the social assurance scales. J Couns Psychol 42(2):232–241CrossRefGoogle Scholar
  95. Lee RM, Draper M, Lee S (2001) Social connectedness, dysfunctional interpersonal behaviors, and psychological distress: testing a mediator model. J Couns Psychol 48(3):310–318CrossRefGoogle Scholar
  96. Leonardi PM, Huysman M, Steinfield C (2013) Enterprise social media: definition, history, and prospects for the study of social technologies in organizations. J Comput-Mediat Commun 19(1):1–19CrossRefGoogle Scholar
  97. Li D, Chau PYK, Lou H (2005) Understanding individual adoption of instant messaging: an empirical investigation. J Assoc Inf Syst 6(4):102–129Google Scholar
  98. Lin C-P, Bhattacherjee A (2008) Elucidating individual intention to use interactive information technologies: the role of network externalities. Int J Electron Commer 13(1):85–108CrossRefGoogle Scholar
  99. Lin CP, Bhattacherjee A (2010) Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test. Inf Syst J 20(2):163–181CrossRefGoogle Scholar
  100. Lin K-Y, Lu H-P (2011) Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Comput Hum Behav 27(3):1152–1161CrossRefGoogle Scholar
  101. Lou H, Luo W, Strong D (2000) Perceived critical mass effect on groupware acceptance. Europ J Inf Syst 9(2):91–103CrossRefGoogle Scholar
  102. Lowry PB, Gaskin J (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 Trans Prof Commun 57(2):123–146CrossRefGoogle Scholar
  103. Lu Y, Deng Z, Wang B (2010) Exploring factors affecting chinese consumers’ usage of short message service for personal communication. Inf Syst J 20(2):183–208CrossRefGoogle Scholar
  104. MacKenzie SB, Podsakoff PM, Podsakoff NP (2011) Construct measurement and validation procedures in mis and behavioral research: integrating new and existing techniques. MIS Q 35(2):293–334Google Scholar
  105. Majchrzak A, Cherbakov L, Ives B (2009) Harnessing the power of the crowds with corporate social networking tools: how ibm does it. MIS Q Exec 8(2):103–108Google Scholar
  106. Majchrzak A, Faraj S, Kane GC, Azad B (2013) The contradictory influence of social media affordances on online knowledge affordances. J Comput-Mediat Commun 19(1):38–55CrossRefGoogle Scholar
  107. Markus ML (1987) Toward a “critical mass” theory of interactive media: universal access, interdependence and diffusion. Commun Res 14(5):491–511CrossRefGoogle Scholar
  108. Markus ML, Connolly T (1990) Why CSCW applications fail: problems in the adoption of interdependent work tools. In: Proceedings of the association for computing machinery (ACM) conference on computer-supported cooperative work (CSCW), Los Angeles, pp 371–380Google Scholar
  109. Maslow AH (1968) Toward a psychology of being. Van Nostrand Reinhold Publishing, New YorkGoogle Scholar
  110. McAfee A (2009) Shattering the myths about enterprise 2.0. Harv Bus Rev 87(11):1–6Google Scholar
  111. Meehl PE (1990) Why Summaries of research on psychological theories are often uninterpretable. Psychol Rep 66(1):195–244CrossRefGoogle Scholar
  112. Mom TJM, Van Den Bosch FAJ, Volberda HW (2009) Understanding variation in managers’ ambidexterity: investigating direct and interaction effects of formal structural and personal coordination mechanisms. Organ Sci 20(4):812–828CrossRefGoogle Scholar
  113. Moore GC, Benbasat I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res 2(3):192–222CrossRefGoogle Scholar
  114. Nunnally JC, Bernstein IH (1994) Psychometric teory, 3rd edn. McGraw-Hill Inc, New YorkGoogle Scholar
  115. Pawlowski JM, Bick M, Peinl R, Thalmann S, Maier R, Hetmank L, Kruse P, Martensen M, Pirkkalainen H (2014) Social knowledge environments. Bus Inf Syst Eng 6(2):81–88CrossRefGoogle Scholar
  116. Phang CW, Kankanhalli A, Sabherwal R (2009) Usability and sociability in online communities: a comparative study of knowledge seeking and contribution. J Assoc Inf Syst 10(10):721–747Google Scholar
  117. Plouffe CR, Hulland JS, Vandenbosch M (2001) Richness versus parsimony in modeling technology adoption decisions – understanding merchant adoption of a smart card-based payment system. Inf Syst Res 12(2):208–222CrossRefGoogle Scholar
  118. Rettie R (2003a) A comparison of four new communication technologies. In: Jacko J, Stephanidis C (eds) Human–computer interaction: theory and practice. Lawrence Erlbaum Associates, Mahwah, pp 686–690Google Scholar
  119. Rettie R (2003) Connectedness, awareness and social presence. In: Proceedings of the annual international workshop on presence (PRESENCE), AalborgGoogle Scholar
  120. Richter A, Riemer K (2013) Malleable end-user software. Bus Inf Syst Eng 5(3):195–197CrossRefGoogle Scholar
  121. Richter D, Riemer K, vom Brocke J (2011) Internet social networking. Bus Inf Syst Eng 3(2):89–103CrossRefGoogle Scholar
  122. Riedl C, Köbler F, Goswami S, Krcmar H (2013) Tweeting to feel connected: a model for social connectedness in online social networks. Int J Hum-Computr Interact 29(10):670–687CrossRefGoogle Scholar
  123. Riemer K, Stieglitz S, Meske C (2015) From top to bottom: investigating the changing role of hierarchy and influence in enterprise social networks. Bus Inf Syst Eng 57(3)Google Scholar
  124. Ringle CM, Wende S, Will A (2005) SmartPLS 2.0 M3. http://www.smartpls.de. Accessed 15 Nov 2012
  125. Riordan CM, Vandenberg RJ, Richardson HA (2005) Employee involvement climate and organizational effectiveness. Hum Resour Manag 44(4):471–488CrossRefGoogle Scholar
  126. Roca JC, Gagné M (2008) Understanding e-learning continuance intention in the workplace: a self-determination theory perspective. Comput Hum Behav 24(4):1585–1604CrossRefGoogle Scholar
  127. Rogers EM (1983) Diffusion of innovations, 3rd edn. Free Press, New YorkGoogle Scholar
  128. Ross C, Orr ES, Sisic M, Arseneault JM, Simmering MG, Orr RR (2009) Personality and motivations associated with facebook use. Comput Hum Behav 25(2):578–586CrossRefGoogle Scholar
  129. Ryan RM, Deci EL (2000) Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol 55(1):68–78CrossRefGoogle Scholar
  130. Satterthwaite FE (1946) An approximate distribution of estimates of variance components. Biom Bull 2(6):110–114CrossRefGoogle Scholar
  131. Scheepers H, Stockdale R, Scheepers R, Nurdin N (2014) The dependent variable in social media use. J Comput Inf Syst 54(2):25–34Google Scholar
  132. Schöndienst V, Günther O, Krasnova H, Riehle D (2011) Micro-blogging adoption in the enterprise. In: Proceedings of the 10th international conference on Wirtschaftsinformatik (WI), ZurichGoogle Scholar
  133. Shin D-H (2010) Analysis of online social networks: a cross-national study. Online Inf Rev 34(3):473–495CrossRefGoogle Scholar
  134. Sledgianowski D, Kulviwat S (2009) Using social network sites: the effects of playfulness, critical mass and trust in a hedonic context. J Comput Inf Syst 49(4):74–83Google Scholar
  135. Smith ER, Mackie DM (2007) Social psychology, 3rd edn. Hove, New YorkGoogle Scholar
  136. Sobel ME (1982) Asymptotic confidence intervals for indirect effects in structural equation models. In: Leinhart S (ed) Sociological methodology. Jossey-Bass, San Francisco, pp 290–312Google Scholar
  137. Stone EF (1978) Research methods in organizational behavior. Goodyear, Santa MonicaGoogle Scholar
  138. Straub DW (1989) Validating instruments in MIS research. MIS Q 13(2):147–169CrossRefGoogle Scholar
  139. Subrahmanyam K, Reich SM, Waechter N, Espinoza G (2008) Online and offline social networks: use of social networking sites by emerging adults. J Appl Dev Psychol 29(6):420–433CrossRefGoogle Scholar
  140. Suh A, Shin K-S, Ahuja M, Kim MS (2011) The influence of virtuality on social networks within and across work groups: a multilevel approach. J Manag Inf Syst 28(1):351–386CrossRefGoogle Scholar
  141. Sundaram S, Schwarz A, Jones E, Chin WW (2007) Technology use on the front line: how information technology enhances individual performance. J Acad Mark Sci 35(1):101–112CrossRefGoogle Scholar
  142. Sykes TA, Venkatesh V, Johnson JL (2014) Enterprise system implementation and employee job performance: understanding the role of advice networks. MIS Q 38(1):51–72Google Scholar
  143. Teigland R, Wasko MM (2003) Integrating knowledge through information trading: examining the relationship between boundary spanning communication and individual performance. Decis Sci 34(2):261–286CrossRefGoogle Scholar
  144. Tesluk PE, Jacobs RR (1998) Toward an integrated model of work experience. Pers Psychol 51(2):321–355CrossRefGoogle Scholar
  145. Thom J, Millen D, DiMicco J (2012) Removing gamification from an enterprise SNS. In: Proceedings of the association on computing machinery (ACM) conference on computer-supported cooperative work (CSCW), Bellevue, pp 1067–1070Google Scholar
  146. Thompson R, Higgins CA, Howell JM (1991) Personal computing: toward a conceptual model of utilization. MIS Q 15(1):125–143CrossRefGoogle Scholar
  147. Tong ST, Van Der Heide B, Langwell L, Walther JB (2008) Too much of a good thing? The relationship between number of friends and interpersonal impressions on facebook. J Comput-Mediat Commun 13(3):531–549CrossRefGoogle Scholar
  148. Townsend KC, McWhirter BT (2005) Connectedness: a review of the literature with implications for counseling, assessment, and research. J Couns Dev 83(2):191–201CrossRefGoogle Scholar
  149. Trier M, Richter A (2014) The deep structure of organizational online networking – an actor-oriented case study. Inf Syst J. (forthcoming)Google Scholar
  150. Urbach N, Smolnik S, Riempp G (2010) An empirical investigation of employee portal success. J Strateg Inf Syst 19(3):184–206CrossRefGoogle Scholar
  151. Utz S (2010) Show me your friends and I will tell you what type of person you are: how one’s profile, number of friends, and type of friends influence impression formation on social network sites. J Comput-Mediat Commun 15(2):314–335CrossRefGoogle Scholar
  152. Valkenburg PM, Peter J (2009) Social consequences of the internet for adolescents: a decade of research. Curr Dir Psychol Sci 18(1):1–5CrossRefGoogle Scholar
  153. Vallerand RJ (1997) Toward a hierarchical model of intrinsic and extrinsic motivation. In: Zanna MP (ed) Advances in experimental social psychology. Academic Press, San Diego, pp 271–360Google Scholar
  154. Van Slyke C, Ilie V, Lou H, Stafford T (2007) Perceived critical mass and the adoption of a communication technology. Eur J Inf Syst 16(3):270–283CrossRefGoogle Scholar
  155. Venkatesh V (1999) Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Q 23(2):239–260CrossRefGoogle Scholar
  156. Venkatesh V, Morris MG (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Q 24(1):115–139CrossRefGoogle Scholar
  157. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478Google Scholar
  158. von Krogh G (2012) How does social software change knowledge management? Toward a strategic research agenda. J Strateg Inf Syst 21(2):154–164CrossRefGoogle Scholar
  159. Wang C-C, Hsu Y, Fang W (2004) Acceptance of technology with network externalities: an empirical study of internet instant messaging services. J Inf Technol Theory Appl 6(4):15–28Google Scholar
  160. Wasko MM, Faraj S (2005) Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Q 29(1):35–57Google Scholar
  161. Wasko MM, Faraj S, Teigland R (2004) Collective action and knowledge contribution in electronic networks of practice. J Assoc Inf Syst 5(11–12):493–513Google Scholar
  162. Wattal S, Racherla P, Mandviwalla M (2010) Network externalities and technology use: a quantitative analysis of intraorganizational blogs. J Manag Inf Syst 27(1):145–174CrossRefGoogle Scholar
  163. Wilden R, Gudergan SP (2014) The impact of dynamic capabilities on operational marketing and technological capabilities: investigating the role of environmental turbulence. J Acad Mark Sci. ForthcomingGoogle Scholar
  164. Wu L (2013) Social network effects on productivity and job security: evidence from the adoption of a social networking tool. Inf Syst Res 24(1):30–51CrossRefGoogle Scholar
  165. Wu A, DiMicco JM, Millen DR (2010) Detecting professional versus personal closeness using an enterprise social network site. In: Proceedings of the special interest group on computer–human interaction (SIGCHI) conference on human factors computer system, AtlantaGoogle Scholar
  166. Xu Y, Yang Y, Cheng Z, Lim J (2014) Retaining and attracting users in social networking services: an empirical investigation of cyber migration. J Strateg Inf Systems. ForthcomingGoogle Scholar
  167. Yoon E, Lee RM (2010) Importance of social connectedness as a moderator in Korean immigrants’ subjective well-being. Asian Am J Psychol 1(2):93–105CrossRefGoogle Scholar
  168. Yoon E, Hacker J, Hewitt A, Abrams M, Cleary S (2012) Social connectedness, discrimination, and social status as mediators of acculturation/enculturation and well-being. J Couns Psychol 59(1):86–96CrossRefGoogle Scholar
  169. Zhang X, Venkatesh V (2013) Explaining employee job performance: the role of online and offline workplace communication networks. MIS Q 37(3):695–722Google Scholar
  170. Zhang X, Wang C (2012) Network positions and contributions to online public goods: the case of Chinese wikipedia. J Manag Inf Syst 29(2):11–40CrossRefGoogle Scholar

Copyright information

© Springer Fachmedien Wiesbaden 2015

Authors and Affiliations

  • Maurice Kügler
    • 1
    • 2
  • Sven Dittes
    • 3
  • Stefan Smolnik
    • 3
  • Alexander Richter
    • 4
  1. 1.EBS Business SchoolWiesbadenGermany
  2. 2.Carroll School of ManagementBoston CollegeChestnut HillUSA
  3. 3.Faculty of Business Administration and EconomicsUniversity of HagenHagenGermany
  4. 4.Department of InformaticsUniversity of ZurichZurichSwitzerland

Personalised recommendations