A user evaluation of information characteristics related to demand deposit systems: An empirical analysis

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In a recent issue of Information and Management, Neumann and Segev developed a correlation analysis of user evaluation of information characteristics (IC) for system improvement. The purpose of this note is to offer a modest extension to their theory which is otherwise viewed as an excellent attempt at modeling realistic aspects of the user IC evaluation. This empirical study factor analyzes the four IC variables. These variables (Content, Accuracy, Frequency, and Recency) are also ranked according to their relative dominance. The differentiation level among these IC variables is found to be low. Thus, the four variables have been reduced to one factor. Moreover, a formula for an index of IC has been set. Thus, it is possible to condense these four variables into one factor.

Original languageEnglish (US)
Pages (from-to)69-72
Number of pages4
JournalInformation and Management
Volume7
Issue number2
DOIs
StatePublished - Jan 1 1984

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Deposits
Empirical analysis
Evaluation
Factors

Keywords

  • Accuracy
  • Banking
  • Computer Systems
  • Content
  • Demand Deposit Systems
  • Electronic Data Processing (EDP)
  • Factor Analysis
  • Frequency
  • Information Characteristics
  • Information Systems
  • Interactive
  • Online Systems
  • Recency
  • User Evaluation

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

Cite this

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title = "A user evaluation of information characteristics related to demand deposit systems: An empirical analysis",
abstract = "In a recent issue of Information and Management, Neumann and Segev developed a correlation analysis of user evaluation of information characteristics (IC) for system improvement. The purpose of this note is to offer a modest extension to their theory which is otherwise viewed as an excellent attempt at modeling realistic aspects of the user IC evaluation. This empirical study factor analyzes the four IC variables. These variables (Content, Accuracy, Frequency, and Recency) are also ranked according to their relative dominance. The differentiation level among these IC variables is found to be low. Thus, the four variables have been reduced to one factor. Moreover, a formula for an index of IC has been set. Thus, it is possible to condense these four variables into one factor.",
keywords = "Accuracy, Banking, Computer Systems, Content, Demand Deposit Systems, Electronic Data Processing (EDP), Factor Analysis, Frequency, Information Characteristics, Information Systems, Interactive, Online Systems, Recency, User Evaluation",
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AB - In a recent issue of Information and Management, Neumann and Segev developed a correlation analysis of user evaluation of information characteristics (IC) for system improvement. The purpose of this note is to offer a modest extension to their theory which is otherwise viewed as an excellent attempt at modeling realistic aspects of the user IC evaluation. This empirical study factor analyzes the four IC variables. These variables (Content, Accuracy, Frequency, and Recency) are also ranked according to their relative dominance. The differentiation level among these IC variables is found to be low. Thus, the four variables have been reduced to one factor. Moreover, a formula for an index of IC has been set. Thus, it is possible to condense these four variables into one factor.

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KW - Content

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KW - Electronic Data Processing (EDP)

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KW - Interactive

KW - Online Systems

KW - Recency

KW - User Evaluation

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