Email-free collaboration: An exploratory study on the formation of new work habits among knowledge workers

The potential of social-collaboration technologies seriously questions email usage in organizations.This research investigates the role played by the notion of habit in influencing the relationship between perceived positive attributes about a social collaboration platform and employee knowledge sharing capability.A theoretical model is developed and tested through a quantitative case study methodology.Habit moderates the relationships between perceived attributes (relative advantage, perceived ease of use, and compatibility to a lesser extent) and knowledge sharing.When studying IT adoption/acceptance in the context of disruptive technologies, the link between perceptions, intention, and behavior is more complex than thought. Social collaboration technologies have rapidly spread across organizations, offering a unique opportunity to improve the exchange of knowledge among employees, especially in distributed work environments. The increasing popularity of social-collaboration tools as an employee-oriented communication channel, inevitably raises questions about the future of email as its intensive use by knowledge workers is more and more perceived as being inefficient and unproductive. Through a quantitative case study methodology, this study seeks to explore the role played by the notion of habit in explaining employee knowledge sharing capability for firms implementing social collaborative practices in the context of no-email initiatives. Data collected within a large international IT services company, which is among the first firms having made such shift, were used to test the developed conceptual model. The findings suggest that habit is positively influenced by relative advantage and perceived ease of use while relative advantage was found to positively impact knowledge sharing capability. Besides, habit moderates the relationships between three attributes (relative advantage, perceived ease of use, and compatibility to a lesser extent) and knowledge sharing capability. Theoretical and practical implications developed from these findings are then discussed.

[1]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[2]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[3]  Maurizio Napolitano,et al.  An Empirical Analysis on Social Capital and Enterprise 2.0 Participation in a Research Institute , 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

[4]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[5]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[6]  J. Coleman,et al.  Social Capital in the Creation of Human Capital , 1988, American Journal of Sociology.

[7]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[8]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[9]  Laurie E. Damianos,et al.  Factors impeding Wiki use in the enterprise: a case study , 2010, CHI Extended Abstracts.

[10]  J. Sinacore Multiple regression: Testing and interpreting interactions , 1993 .

[11]  Gerald C. Kane,et al.  The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing , 2013, J. Comput. Mediat. Commun..

[12]  Viswanath Venkatesh,et al.  Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research , 2010, J. Manag. Inf. Syst..

[13]  Siew H. Chan,et al.  Knowledge sharing in Asian public administration sector: the case of Hong Kong , 2007, J. Enterp. Inf. Manag..

[14]  Aditya Johri,et al.  Look ma, no email!: blogs and IRC as primary and preferred communication tools in a distributed firm , 2011, CSCW.

[15]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[16]  Thomas Jackson,et al.  The cost of email interruption , 2001, Journal of Systems and Information Technology.

[17]  Shuiwang Ji,et al.  Partial Least Squares , 2016 .

[18]  J. Roberto Evaristo,et al.  Information Load Revisited: A Theoretical Model , 1995, ICIS.

[19]  Fred D. Davis,et al.  The Accuracy of Behavioral Intention Versus Behavioral Expectation for Predicting Behavioral Goals , 1985 .

[20]  R. Bagozzi,et al.  Trying to Consume , 1990 .

[21]  Robert M. Mason,et al.  The Nature of Knowledge in the Social Media Age: Implications for Knowledge Management Models , 2012, 2012 45th Hawaii International Conference on System Sciences.

[22]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..

[23]  Ojelanki K. Ngwenyama,et al.  Virtual team collaboration: building shared meaning, resolving breakdowns and creating translucence , 2009, Inf. Syst. J..

[24]  Richard Bentley,et al.  Basic support for cooperative work on the World Wide Web , 1997, Int. J. Hum. Comput. Stud..

[25]  R. Yin Case Study Research: Design and Methods , 1984 .

[26]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[27]  B. Verplanken,et al.  Habit and information use in travel mode choices , 1997 .

[28]  E. Rogers Diffusion of Innovations , 1962 .

[29]  B. Verplanken,et al.  Habit, information acquisition, and the process of making travel mode choices , 1997 .

[30]  S. Geisser A predictive approach to the random effect model , 1974 .

[31]  J. Creswell Qualitative inquiry and research design: choosing among five traditions. , 1998 .

[32]  Akhil Kumar,et al.  Research Commentary: Workflow Management Issues in e-Business , 2002, Inf. Syst. Res..

[33]  Jeffrey M. Quinn,et al.  Habits in everyday life: thought, emotion, and action. , 2002, Journal of personality and social psychology.

[34]  Samer Faraj,et al.  Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice , 2005, MIS Q..

[35]  Walter C. Borman,et al.  Hiring for Knowledge-Based Competition , 2003 .

[36]  Fred D. Davis,et al.  Disentangling behavioral intention and behavioral expectation , 1985 .

[37]  D. Whetten What Constitutes a Theoretical Contribution , 1989 .

[38]  R. Grant Chapter 8 – Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration , 1999 .

[39]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[40]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[41]  M. Stone Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[42]  D. Straub,et al.  A CRITICAL LOOK AT THE USE OF PLS-SEM IN MISQ , 2012 .

[43]  Johanna Gunnlaugsdottir,et al.  Seek and you will find, share and you will benefit: organising knowledge using groupware systems , 2003, Int. J. Inf. Manag..

[44]  Detmar W. Straub,et al.  An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research , 2011 .

[45]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[46]  Jeffrey D. Pierce,et al.  Building An Innovation Community , 2011 .

[47]  Cliff Lampe,et al.  Bowling online: social networking and social capital within the organization , 2009, C&T.

[48]  R. Gurrea,et al.  The role played by perceived usability, satisfaction and consumer trust on website loyalty , 2006, Inf. Manag..

[49]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[50]  Claudia van Oppen,et al.  USING PLS PATH MODELING FOR ASSESSING HIERARCHICAL CONSTRUCT MODELS : GUIDELINES AND EMPIRICAL , 2022 .

[51]  Massimo Magni,et al.  Motivating Employees to Explore Collaboration Technology in Team Contexts , 2015, MIS Q..

[52]  Roman Beck,et al.  Knowledge Exchange and Symbolic Action in Social Media-Enabled Electronic Networks of Practice: A Multilevel Perspective on Knowledge Seekers and Contributors , 2014, MIS Q..

[53]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[54]  Gregory B. Northcraft,et al.  To be or not to be trusted: The influence of media richness on defection and deception , 2008 .

[55]  Wynne W. Chin,et al.  A critical look at partial least squares modeling , 2009 .

[56]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[57]  Morten T. Hansen,et al.  Knowledge Transfer in Intraorganizational Networks : Effects of Network Position and Absorptive Capacity on Business Unit Innovation and Performance , 2007 .

[58]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[59]  Gerald L. Lohse,et al.  A Classification of Internet Retail Stores , 1997, Int. J. Electron. Commer..

[60]  Moez Limayem,et al.  Force of Habit and Information Systems Usage: Theory and Initial Validation , 2003, J. Assoc. Inf. Syst..

[61]  Frank Tian Xie,et al.  Antecedents of Customer Loyalty: An Empirical Synthesis and Reexamination , 2012 .

[62]  Bonnie Kaplan,et al.  Combining Qualitative and Quantitative Methods in Information Systems Research: A Case Study , 1988, MIS Q..

[63]  Michael J. Muller,et al.  Motivations for social networking at work , 2008, CSCW.

[64]  Jacob Cohen Partialed products are interactions; partialed powers are curve components. , 1978 .

[65]  Gregoris Mentzas,et al.  Review and functional classification of collaborative systems , 2002, Int. J. Inf. Manag..

[66]  Emma Russell,et al.  Describing the strategies used for dealing with email interruptions according to different situational parameters , 2007, Comput. Hum. Behav..

[67]  Michael J. Brzozowski WaterCooler: exploring an organization through enterprise social media , 2009, GROUP.

[68]  H. Aarts,et al.  Physical exercise habit: on the conceptualization and formation of habitual health behaviours. , 1997, Health education research.

[69]  Stephen R. Barley,et al.  E-mail as a Source and Symbol of Stress , 2011, Organ. Sci..

[70]  Izak Benbasat,et al.  Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users , 1996 .

[71]  J. A. McGeoch The psychology of human learning , 1942 .

[72]  Robert Blackburn,et al.  Older People and the Enterprise Society: Age and Self-Employment Propensities , 2001 .

[73]  R. Noe,et al.  Knowledge sharing: A review and directions for future research , 2010 .

[74]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[75]  Eric W. T. Ngai,et al.  Social media research: Theories, constructs, and conceptual frameworks , 2015, Int. J. Inf. Manag..

[76]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[77]  P. Leonardi,et al.  Social Media Use in Organizations: Exploring the Affordances of Visibility, Editability, Persistence, and Association , 2013 .

[78]  Alejandro Ruelas-Gossi La expansión desde el producto al concepto: el flujo de KONE , 2010 .

[79]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[80]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[81]  Gloria Mark,et al.  "A pace not dictated by electrons": an empirical study of work without email , 2012, CHI.

[82]  Paul Schepers,et al.  Social Factors of Work-Environment Creativity , 2007 .

[83]  Vincenzo Esposito Vinzi,et al.  PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement , 2010 .

[84]  Jonathon N. Cummings Work Groups, Structural Diversity, and Knowledge Sharing in a Global Organization , 2004, Manag. Sci..

[85]  Straub,et al.  Editor's Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research , 2011 .

[86]  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..

[87]  Klaus Moser,et al.  Coping with information overload in email communication: Evaluation of a training intervention , 2010, Comput. Hum. Behav..

[88]  Corey M. Angst,et al.  Reconceptualizing Compatibility Beliefs in Technology Acceptance , 2006 .

[89]  C. H. Lyttkens,et al.  Habit versus choice: the process of decision-making in health-related behaviour. , 2002, Social science & medicine.

[90]  Detmar W. Straub,et al.  Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..

[91]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[92]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[93]  Shu-Chiung Lin,et al.  A quasi-experiment approach to study the effect of e-mail management training , 2011, Comput. Hum. Behav..

[94]  Vincent S. Lai,et al.  Factors in the Global Assimilation of Collaborative Information Technologies: An Exploratory Investigation in Five Regions , 2008, J. Manag. Inf. Syst..

[95]  Mikolaj Jan Piskorski,et al.  Mapping the social internet , 2010 .

[96]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[97]  Louis Raymond,et al.  Determinants of EIS use: Testing a behavioral model, , 1995, Decis. Support Syst..

[98]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[99]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[100]  Fred D. Davis,et al.  Self-Understanding and the Accuracy of Behavioral Expectations , 1984 .

[101]  Jonathan Grudin,et al.  When social networks cross boundaries: a case study of workplace use of facebook and linkedin , 2009, GROUP.

[102]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[103]  William J. Doll,et al.  The Collaborative Use of Information Technology: End-User Participation and Systems Success , 2001, Inf. Resour. Manag. J..

[104]  Y. Connie Yuan,et al.  Location, Motivation, and Social Capitalization via Enterprise Social Networking , 2013, J. Comput. Mediat. Commun..

[105]  S. Ghoshal,et al.  Social Capital, Intellectual Capital, and the Organizational Advantage , 1998 .

[106]  Gerald C. Kane,et al.  The Shoemaker's Children: Using Wikis for Information Systems Teaching, Research, and Publication , 2009, MIS Q..

[107]  John P. Kotter,et al.  Why Transformation Efforts Fail , 1996 .

[108]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[109]  Kwok Kee Wei,et al.  What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs , 2009, Decis. Support Syst..

[110]  Malcolm R. Parks,et al.  Cues Filtered Out, Cues Filtered In: Computer-Mediated Communication and Relationships , 2002 .

[111]  M. Lynne Markus,et al.  Toward a “Critical Mass” Theory of Interactive Media , 1987 .

[112]  Atreyi Kankanhalli,et al.  Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation , 2005, MIS Q..

[113]  Gerald C. Kane,et al.  What's Different about Social Media Networks? A Framework and Research Agenda , 2014, MIS Q..

[114]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[115]  D. Coleman,et al.  Taking advantage of real-time collaboration tools , 1999 .

[116]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[117]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[118]  Jörg Henseler,et al.  Testing Moderating Effects in PLS Path Models. An Illustration of Available Procedures , 2005 .

[119]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[120]  M. Castells ”Networks of Outrage and Hope. Social Movements in the Internet Age”. , 2019 .