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Journal ArticleDOI

Information systems project development: knowledge and domain requirements for the systems analyst

TLDR
This work identifies and investigates the characteristics of a successful systems analyst’s domain and knowledge base, and groups domain knowledge into four major categories: technical skills, systems skills, managerial skills, and business skills.
Abstract
A principal participant in developing computer‐based information systems is the systems analyst. A wide range of skills and knowledge requirements seems to be necessary to be a systems analyst. To date, few studies have attempted to identify the specific skills that analysts indicate are critical to their success during the systems development life‐cycle process. Identifies and investigates the characteristics of a successful systems analyst’s domain and knowledge base. Specifically, groups domain knowledge into four major categories: technical skills, systems skills, managerial skills, and business skills. From within each category, analysts indicated which skills they perceived to be of importance to perform their job functions as systems analysts successfully. The results help identify the educational and training requirements for future systems analysts that need to be in place for both academic and corporate instructional programmes.

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Citations
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Journal ArticleDOI

Team structure and team performance in IS development: a social network perspective

TL;DR: The relationship betweer team structure and ISD team performance using a social network approach was found that group cohesion was positively related to overall performance and group structures seemed to be a critical factor for good performance.
Journal ArticleDOI

Theta intelligent forecasting information system

TL;DR: The architecture and implementation of a theta intelligent forecasting information system (TIFIS) is described that that first‐named author had developed during his dissertation, which adopts an object‐oriented approach to forecasting and exploits the forecasting engine of the theta model integrated with automated rule based adjustments and judgmental adjustments.
Journal ArticleDOI

Prediction of CASE adoption: a neural network approach

TL;DR: This study uses a neural network methodology to predict CASE tool adoption using factors that were previously identified in the literature, including need to improve IS department performance, use of external sources of knowledge, job rotation, pressure to reduce development time, and CASE champion.
Journal ArticleDOI

Towards a better understanding of system analysts’ tacit knowledge: A mixed method approach

TL;DR: The study found that experienced, successful analysts see systems analysis in behavioral, managerial, and political terms and focus heavily on interpersonal, project management, and organizational issues.
Journal ArticleDOI

A Collaborative Knowledge Management Process for Implementing Healthcare Enterprise Information Systems

TL;DR: A feasible health informatics domain knowledge management process which helps gather useful technology information and reduce many knowledge misunderstandings among engineers who have participated in the IBM mainframe rightsizing project at NTU Hospital is illustrated.
References
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Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
Journal ArticleDOI

Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Journal ArticleDOI

Validating instruments in MIS research

TL;DR: An operating paradigm for renewal along dimensions previously unstressed is offered and it is argued that confirmatory empirical findings will be strengthened when instrument validation precedes both internal and statistical conclusion validity and that, in many situations, MIS researchers need to validate their research instruments.
Book

Multivariate Analysis: Methods and Applications

TL;DR: Several aspects of multivariate analysis can be found in this paper, e.g., principal components analysis, factor analysis, multiple discriminant analysis, Linear Structural Relations (LISREL), Latent Structure Analysis.
Journal ArticleDOI

User Involvement and MIS Success: A Review of Research

TL;DR: The authors present a conceptual framework into which previous research has been mapped that can provide direction to future efforts and a set of variables that have been proposed as potentially impacting the relationship between user involvement and system success.
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A wide range of skills and knowledge requirements seems to be necessary to be a systems analyst.