Understanding the Impact of Instant Messaging (IM) on Subjective Task Complexity and User Satisfaction

Instant messenger is being rapidly deployed in the workplace. Current studies largely focus on the adoption of IM and how IM is used. Little research has been conducted to understand the potential impact of using IM in the workplace. This paper theorized and empirically tested how the frequency and social network characteristic of IM interruptions could interact with an individual’s polychronic orientation, i.e. multitasking preference, and jointly influence employee satisfaction and subjective task complexity. The study illustrates that polychrons are more satisfied with the multitasking work process deploying IM technology than monochrons. In addition, the effect of interruptions is dependent upon an individual’s polychronic orientation. The increase in interruption frequency only reduces the process satisfaction of monochrons but not polychrons. Further, the polychronic orientation of message receivers also influences how they process information. When IM messages are sent from their supervisors, monochrons tend to prioritize tasks and perceive a lower level of overall task complexity. The information processing of polychrons seem to be less influenced by the social characteristic of interruptions.

[1]  Tracey E. Rizzuto,et al.  A construct‐oriented analysis of individual‐level polychronicity , 1999 .

[2]  Carol Kaufman–Scarborough,et al.  Time management and polychronicity , 1999 .

[3]  S. Green,et al.  The effects of three social decision schemes on decision group process , 1980 .

[4]  Jacob Cohen Statistical Power Analysis , 1992 .

[5]  Allen C. Bluedorn,et al.  Polychronicity and the Inventory of Polychronic Values (IPV): The development of an instrument to measure a fundamental dimension of organizational culture , 1999 .

[6]  Joseph S. Valacich,et al.  The Influence of Task Interruption on Individual Decision Making: An Information Overload Perspective , 1999 .

[7]  Louis Coraggio,et al.  Deleterious effects of intermittent interruptions on the task performance of knowledge workers: A laboratory investigation. , 1990 .

[8]  M. Hakel,et al.  Effects of Objective and Subjective Task Complexity on Performance , 1997 .

[9]  Wynne W. Chin,et al.  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 , 2003, Inf. Syst. Res..

[10]  Jane Webster,et al.  Unintended consequences of emerging communication technologies: Instant Messaging in the workplace , 2005, Comput. Hum. Behav..

[11]  C. King,et al.  The Dance of Life , 1923, Nature.

[12]  E. Hall The Silent Language , 1959 .

[13]  Jeffrey M. Conte,et al.  Polychronicity, Big Five Personality Dimensions, and Sales Performance , 2005 .

[14]  Ray Dawson,et al.  Understanding email interaction increases organizational productivity , 2003, CACM.

[15]  Allen C. Bluedorn,et al.  Organizational behavior implications of the congruence between preferred polychronicity and experienced work‐unit polychronicity , 1999 .

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

[17]  E. Hall,et al.  Understanding Cultural Differences , 1989 .

[18]  James N. Danziger,et al.  IM = Interruption Management? Instant Messaging and Disruption in the Workplace , 2007, J. Comput. Mediat. Commun..

[19]  J. D. Lindquist Time management and polychronicity Comparisons , contrasts , and insights for the workplace , 1998 .

[20]  P. Christopher Earley,et al.  Influence of information, choice and task complexity upon goal acceptance, performance, and personal goals. , 1985 .

[21]  Julie Rennecker,et al.  Theorizing the Unintended Consequences of Instant Messaging for Worker Productivity , 2008 .

[22]  Jo Ellen Moore,et al.  One Road to Turnover: An Examination of Work Exhaustion in Technology Professionals , 2000, MIS Q..

[23]  H. Ellis The dance of life , 1923 .

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

[25]  Richard L. Frei,et al.  The impact of monochronic and Type A behavior patterns on research productivity and stress , 1999 .

[26]  Mary L. Cummings,et al.  The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations , 2004, Cyberpsychology Behav. Soc. Netw..

[27]  Kil-Soo Suh,et al.  Impact of communication medium on task performance and satisfaction: an examination of media-richness theory , 1999, Inf. Manag..

[28]  J. Grube,et al.  Exploring the Dominant Media , 2006 .

[29]  Charles Benabou Polychronicity and temporal dimensions of work in learning organizations , 1999 .

[30]  J. Gregory Trafton,et al.  Preparing to resume an interrupted task: effects of prospective goal encoding and retrospective rehearsal , 2003, Int. J. Hum. Comput. Stud..

[31]  N. Allen,et al.  Exploring links between polychronicity and well-being from the perspective of person–job fit: Does it matter if you prefer to do only one thing at a time? , 2005 .

[32]  Rick R. Jacobs,et al.  Validity Evidence Linking Polychronicity and Big Five Personality Dimensions to Absence, Lateness, and Supervisory Performance Ratings , 2003 .