From the beginning, a completed dissertation was the goal, but the real value was in the process, not the product. The dissertation demonstrates the ability of a researcher to complete a significant study, but only after the process provides the skills in conceiving and justifying a research idea, designing a study, collecting and analyzing the data, and finally reporting the results. The process was rewarding in its own right. I sincerely thank my advisor and committee chairperson, Dr. Gurvirender Tejay, for his direction, guidance, and focus. Dr. Tejay's steady and consistent mentorship gave me the confidence to follow a productive and purposeful path to completion. Committee members Dr. Steve Terrell and Dr. Michael Lane provided valuable support through the dissertation process, and created an environment that fostered learning and development. Your insight pushed me to learn beyond where I had set my own limits. I am especially grateful to my wife, Shirley, who encouraged and motivated me, while remaining patient and supporting as I hit the inevitable obstacles. You helped me strike the balance between steady progress and unproductive, wasted effort.

Data is an important asset used for various organizational activities. Poor data quality could have severe implications for information systems security in organizations. In this paper, data is viewed as embodied in the concept of signs. This paper identifies dimensions of data quality by using semiotics as a theoretical basis. We argue that the nature and scope of data quality dimensions changes as we move between different semiotic levels. An understanding of these changes is essential for ensuring information systems security.

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