Author List: Torkzadeh, Gholamreza;
Journal of Management Information Systems, 1988, Volume 5, Issue 2, Page 99-108.
User documentation is an important tool for communication. It enhances the value of an application to the user and, in turn, improves user satisfaction. The impact of user documentation is even more considerable since interest in end-user computing is booming. Yet, there are very few practical managerial tools for measuring the quality of user documentation. This article examines two alternative forms of an instrument for measuring user perceptions of the quality of user documentation. The reliability and validity of these instruments are examined. Using a survey of 618 end-users from 44 firms, the author cross validates this instrument, conducts a factor analysis, and assesses the construct validity of the instrument. Furthermore, the reliability and validity of the instrument is assessed by nature and type of application. The results indicate a strong support for the instrument. With these instruments, management can more easily monitor and control the condition of their firm's user documentation.
Keywords: documentation; management; user documentation; user satisfaction
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#263 0.394 instrument measurement factor analysis measuring measures dimensions validity based instruments construct measure conceptualization sample reliability development develop responses assess use
#253 0.232 user involvement development users satisfaction systems relationship specific results successful process attitude participative implementation effective application authors suggested user's contingency
#59 0.075 capabilities capability firm firms performance resources business information technology firm's resource-based competitive it-enabled view study value infrastructure results organizational model
#248 0.075 computing end-user center support euc centers management provided users user services organizations end satisfaction applications article ibm step field policies
#173 0.074 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship