Journal of International Technology and Information Management

Abstract

Volume 14, Number 2, 2005

 

 83. Statistical Process Control For The Engineering IT Support Incident Life Cycle

Binay Anand, Halliburton Corporation

Christopher A. Chung, University of Houston

 

This paper describes a new Statistical Process Control technique to better manage the engineering Information Technology life cycle process.  This includes the identification of the activities in the engineering IT support lifecycle initiation, reproduction, analysis and resolution phases.   The performance of these lifecycle activities are analyzed using a highly modified Chart of Individuals, Statistical Process Control approach.  This new type of SPC system can help engineering IT management to determine whether or not a support incident is in control.  Out of control support incidents can then be investigated for special causes so that corrective action may be taken.

 

 93. Inference-Guiding for Intelligent Agents

Jinchang Wang, The Richard Stockton College of New Jersey

 

In many applications of intelligent agents, initially given facts are not sufficient to reach a decision, and more data are needed.  In that case, Inference-guiding is needed to identify the missing information and lead inference to a conclusion.  This paper presents a new inference-guiding strategy that selects the key pieces of missing information in such a way that the total cost of acquiring additional information for reaching a conclusion is the lowest.  The computational experiments show that the new strategy is more effective and economical than the inference-guiding strategies currently available for the intelligent systems. 

 

109. Non-Response Error within Internet Surveys: A Cautionary Note

Carl S. Bozman, Gonzaga University

Donald E. Stem, Jr., Washington State University

 

The use of the internet as a method to conduct survey research has expanded rapidly over the past decade.  High speeds of response and lower expenses have driven this rapid growth.  Relatively low response rates, however, suggest online surveys may be compromised by high levels of non-sampling error.  This paper examines a major component of non-sampling error and the consequences that may be associated with internet survey non-response.  Known population parameters are compared to point estimates from a census as well as a random sample of non-respondents in order to provide insight on the magnitude and direction of non-response error.  Issue salience and response latency are found to exhibit a significant relationship to self-selection and response valance biases.  Specifically, lower rates of non-response were obtained from respondents who perceived the topic of the survey as more important and patterns of response were more favorable among initial study participants.

 

117. Acceptance Of Wireless Internet Via Mobile Technology In China

June Lu, University of Houston – Victoria

Chang Liu, Northern Illinois University

Chun-Sheng Yu, University of Houston – Victoria

James E. Yao, Montclair State University

 

This study explores factors associated with the acceptance of Wireless Internet via Mobile Technology (WIMT) in China. The results indicate that the acceptance of WIMT is related to the factors of perceived usefulness, perceived ease of use, social influences, wireless trust environment, and facilitating conditions. It provides diagnostic insight into how different factors influence user intention to accept WIMT in China, and thus help business develop strategy to prompt WIMT communications and mobile commerce there

 

131. Analyzing The Effect Of Top Management Support On Information System (IS) Performance

Across Organizations And Industries Using Hierarchical Linear Modeling

Thawatchai Jitpaiboon, Ball State University

Sema A. Kalaian, Eastern Michigan University

 

Top management support has long been conceivable as an important factor for the success of IS projects. Due to the hierarchical nature of an organization, a cross-level interaction can occur among nested levels.  Thus, using inappropriate statistical analysis can cause misleading results and lost of information. This study provides two contributions to the IS research. First, Hierarchical Linear Modeling (HLM) was used to explain the cross-level interaction between organizational level and industry level. Second, unlike other studies focusing on an organizational level, this study considers top management support at the industry level and examines the mediating role of top management support between the two levels.

 

145. Contextual Analysis of Enterprise Mobile Services Requirements

Radhika Jain, Georgia State University

 

This article presents a framework to classify various types of mobile services implemented in organizational settings. Based on the objectives of wireless information systems (WIS), we identify three categories viz. enterprise mobile services, enterprise-advantage mobile services, and consumer mobile services. While the last two categories of mobile services have received broader attention, there has not been much work done in analyzing the role of mobile services in the organizational settings specific to various industries. In this article, we attempt to fill this void by synthesizing the extant literature in this area. Based on the degree of user’s mobility in their organizational settings, we categorize enterprise mobile services in three subcategories. This categorization helps identify differences in the information access needs of users. We then discuss how firms belonging to various industries can benefit from mobile services and various issues that need to be addressed before embracing such services. Finally this paper concludes with identification of potential research topics.