“Online Or Offline, What Do You Prefer?” Pre-Test of Measurement Scales for Empirical Analysis

In times of increasing globalization and the continuing growth of internet-based processes and services, it becomes necessary to study emerging phenomena such as user resistance from a novel theoretical perspective. In this paper, we develop measurement instruments to empirically analyze and test why different process participants use or do not use this process in a virtual environment, and why different types of people perceive a virtualized process as useful or usable. We are interested in why people reject or use virtual processes. In order to verify the rejection of virtual processes, we base our research on user resistance and we examine Process Virtualization Theory, service quality and user satisfaction and their impact on attitude towards user resistance. Therefore we conducted a pre-test in the form of an online-survey with 90 participants. The aim of this pretest is to validate our measurement instruments and to get an early understanding of construct validity.

[1]  Heshan Sun,et al.  Adaptive System Use; An Investigation at the System Feature Level , 2008, ICIS.

[2]  Izak Benbasat,et al.  Addressing the What and How of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success , 2008, Inf. Syst. Res..

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

[4]  I. Ajzen The theory of planned behavior , 1991 .

[5]  Sandra Slaughter,et al.  Research Commentary - The Design, Use, and Consequences of Virtual Processes , 2010, Inf. Syst. Res..

[6]  Eric Overby,et al.  Process Virtualization Theory and the Impact of Information Technology , 2008, Organ. Sci..

[7]  Dawn Iacobucci,et al.  Distinguishing Service Quality and Customer Satisfaction: The Voice of the Consumer , 1995 .

[8]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[9]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[10]  Viswanath Venkatesh,et al.  Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior , 2005, IEEE Transactions on Engineering Management.

[11]  Kenneth W. Green,et al.  Understanding Service Quality and Relationship Quality in is Outsourcing: Client Orientation & Promotion, Project Management Effectiveness, and the Task-Technology-Structure Fit , 2008, J. Comput. Inf. Syst..

[12]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[13]  Agnes Werner,et al.  An attributional explanation of individual resistance to the introduction of information technologies in the workplace , 1996, Behav. Inf. Technol..

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

[15]  Benn Konsynski,et al.  Task-Technology Fit and Process Virtualization Theory: An Integrated Model and Empirical Test , 2010 .

[16]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

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

[18]  Eric Overby,et al.  Migrating Processes from Physical to Virtual Environments: Process Virtualization Theory , 2012 .

[19]  Shaul Oreg,et al.  Resistance to change: developing an individual differences measure. , 2003, The Journal of applied psychology.

[20]  Daniel J. Veit,et al.  Which Processes Do Users Not Want Online? Extending Process Virtualization Theory , 2011, ICIS.

[21]  M. Lynne Markus,et al.  Power, politics, and MIS implementation , 1987, CACM.

[22]  Suzanne Rivard,et al.  A Multilevel Model of Resistance to Information Technology Implementation , 2005, MIS Q..

[23]  Kelly S. Ervin,et al.  Gender and the Internet: Women Communicating and Men Searching , 2001 .

[24]  Confirmation Model UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

[25]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[26]  H. Raghav Rao,et al.  Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration , 2009, Inf. Syst. Res..

[27]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[28]  Jin-Long Lu,et al.  Investigating passengers’ intentions to use technology-based self check-in services , 2009 .

[29]  V. Zeithaml Service quality, profitability, and the economic worth of customers: What we know and what we need to learn , 2000 .

[30]  Thompson S. H. Teo,et al.  Consumer trust in e-commerce in the United States, Singapore and China , 2007 .

[31]  S. Al-Shafi,et al.  FACTORS AFFECTING E-GOVERNMENT IMPLEMENTATION AND ADOPTION IN THE STATE OF QATAR , 2009 .

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

[33]  Paul M. Leonardi,et al.  Why Do People Reject New Technologies and Stymie Organizational Changes of which They Are in Favor? Exploring Misalignments between Social Interactions and Materiality , 2009 .

[34]  Sven Laumer,et al.  Why Do People Reject Technologies: A Review of User Resistance Theories , 2012 .

[35]  Eric Overby PROCESS VIRTUALIZATION THEORY AND THE IMPACT OF INFORMATION TECHNOLOGY. , 2005 .

[36]  Naveen Donthu,et al.  Developing and validating a multidimensional consumer-based brand equity scale , 2001 .

[37]  Dirk Lewandowski,et al.  Impact of Gender and Age on performing Search Tasks Online , 2012, MuC.

[38]  F. Buttle SERVQUAL: review, critique, research agenda , 1996 .

[39]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[40]  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.

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

[42]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[43]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..