Antecedents and Consequences of User Satisfaction with E-Mail Systems

E-mail is an important component of the e-collaborative environment. This study contributes to the literature by using the American Customer Satisfaction Index (ACSI) framework to model the antecedents and consequences of customer satisfaction with e-mail systems. We employ a survey to gather empirical evidence to test the modified ACSI model for e-mail systems. Additionally, we test whether spam has an influence on a user’s satisfaction with his or her e-mail system. Our results generally support the notion that the ACSI framework can be used to model e-mail user satisfaction, but we do not find statistically significant evidence that spam affects overall user satisfaction with their e-mail system.

[1]  S. Davidson,et al.  Physician and nurse satisfaction with an Electronic Medical Record system. , 2004, The Journal of emergency medicine.

[2]  E. E. Jones,et al.  From Acts To Dispositions The Attribution Process In Person Perception1 , 1965 .

[3]  F. Reichheld The one number you need to grow. , 2003, Harvard business review.

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

[5]  Henry Lieberman,et al.  Aria: an agent for annotating and retrieving images , 2001, Computer.

[6]  P. S. Ireland A management paradigm to reduce information overload-the introduction of the intranet into BT , 1997 .

[7]  Stephen Hinde Spam, scams, chains, hoaxes and other junk mail , 2002, Comput. Secur..

[8]  Barbara Wixom,et al.  Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..

[9]  Brian Whitworth,et al.  Spam and the social-technical gap , 2004, Computer.

[10]  Gerard Fogarty,et al.  Validation of a Computer User Satisfaction Questionnaire to Measure IS Success in Small Business , 2005, J. Res. Pract. Inf. Technol..

[11]  James R. Van Scotter,et al.  Linking Perceived Quality and Customer Satisfaction to Store Traffic and Revenue Growth , 2004, Decis. Sci..

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

[13]  C. Fornell,et al.  Foundations of the American Customer Satisfaction Index , 2000 .

[14]  Germà Coenders,et al.  Estimation of the European Customer Satisfaction Index: Maximum Likelihood versus Partial Least Squares. Application to Postal Services , 2004 .

[15]  G. Walsh,et al.  Examining Consumer Behavior in the Liberalized German Energy Marketbthe Influence of Customer Satisfaction on Customer Willingness to Switch Public Utility Companies , 2004 .

[16]  Ruth N. Bolton,et al.  A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction , 1994 .

[17]  B. Weiner,et al.  Perceiving the Causes of Success and Failure , 1989 .

[18]  E. E. Jones Attribution: Perceiving the Causes of Behavior , 1987 .

[19]  H. Kelley Attribution in social interaction. , 1987 .

[20]  Simson L. Garfinkel,et al.  Stopping Spam , 1998 .

[21]  Shari Lawrence Pfleeger,et al.  Canning SPAM: Proposed solutions to unwanted email , 2005, IEEE Security & Privacy Magazine.

[22]  C. Fornell,et al.  The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .

[23]  W. A. Lucas,et al.  Effects of E-Mail on the Organization , 1998 .

[24]  Rajiv Kohli,et al.  Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective , 2004, J. Manag. Inf. Syst..

[25]  Robert J. Hall How to avoid unwanted email , 1998, CACM.

[26]  Arvind K. Tripathi,et al.  Admediation: New Horizons in Effective Email Advertising , 2001, CACM.

[27]  J. Christianson,et al.  Consumer experiences in a consumer-driven health plan. , 2004, Health services research.

[28]  Ned Kock,et al.  What is E-Collaboration ? , 2005 .

[29]  P. Léo,et al.  Retail Centres: Location and Consumer's Satisfaction , 2002 .

[30]  Woo-Hyun Cho,et al.  The relationships among quality, value, satisfaction and behavioral intention in health care provider choice: A South Korean study , 2004 .

[31]  C. Fornell,et al.  The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .

[32]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[33]  Moon-Koo Kim,et al.  The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services , 2004 .

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

[35]  F. Heider The psychology of interpersonal relations , 1958 .

[36]  T. J. Gerpott,et al.  Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market , 2001 .

[37]  Barbara S. Chaparro,et al.  Using the End-User Computing Satisfaction (EUCS) Instrument to Measure Satisfaction with a Web Site , 2005, Decis. Sci..

[38]  Charlene Y. Senn,et al.  Not Wanted in the Inbox!: Evaluations of Unsolicited and Harassing E-Mail1 , 2004 .

[39]  W. Neville Holmes In Defense of Spam , 2005, Computer.

[40]  H. Bansal,et al.  A three-component model of customer commitment to service providers , 2004 .

[41]  P. Oscar Boykin,et al.  Leveraging social networks to fight spam , 2005, Computer.

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

[43]  Kaitlin Duck Sherwood Overcome EMail Overload with Microsoft Outlook 2000 and Outlook 2002: Get through Your Electronic Mail Faster , 2002 .

[44]  Linda L. Price,et al.  Going to Extremes: Managing Service Encounters and Assessing Provider Performance , 1995 .

[45]  Maureen S. Battistella,et al.  Connections: New Ways of Working in the Networked Organization , 1991 .