The management of end user computing

Rockart, John F.; Flannery, Lauren S.

doi:10.1145/358413.358429

Cited by 445 publications

(152 citation statements)

References 4 publications

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“…Success factors for a specific asset management service could require different prioritisation as a result of an organisation's competitive position, compared with its peers in the industry, based on specific managerial positions, the conditions of the macro environment in which the organisation operates, and temporary success factors becoming critical for certain periods of time [18]. This implies that a single prioritised set of success factors is unsuitable for all asset management service instances.…”

Section: The Need For a Decision Support Modelmentioning

confidence: 99%

A Decision Support Model to Determine the Critical Success Factors of Asset Management Services

Jooste

Vlok

2015

The South African Journal of Industrial Engineering

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Business-to-business services relating to physical asset management play an increasingly important role in industry. This is in the context of the current pressures that organisations experience in realising optimal value from their assets. Complying with asset management standards such as ISO 55000 contributes towards the importance of these services. This paper summarises the findings from a study identifying the critical success factors for asset management services, and presents a decision support model that provides the asset management community with access to these factors for decision-making and for improving asset management services. OPSOMMINGBesigheid-tot-besigheidsdienste met betrekking tot fisiese batebestuur speel 'n toenemende belangrike rol in die industrie. Dit is te midde van die druk wat batebesittende organisasies tans ondervind om optimale waarde uit hul fisiese bates te verkry. Die strewe om te voldoen aan batebestuurstandaarde soos ISO 55000 dra by tot die belangrikheid van hierdie dienste. Die verhandeling gee 'n opsomming van 'n studie rakende die identifisering van die kritiese suksesfaktore vir batebestuurdienste, en lê 'n besluitnemingsmodel voor wat die batebestuurgemeenskap toegang gee tot hierdie suksesfaktore vir besluitnemingsdoeleindes en vir die verbetering van batebestuurdienste.

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Section: The Need For a Decision Support Modelmentioning

confidence: 99%

A Decision Support Model to Determine the Critical Success Factors of Asset Management Services

Jooste

Vlok

2015

The South African Journal of Industrial Engineering

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“…In previous literature, most of studies define that the end-user is an individual who directly interacting with his or her computer [4]- [6]. End-user computing refers to direct interaction with application software by managerial, professional, and operating level personnel in user departments [7], [8].…”

Section: A Concepts Of End-user Computingmentioning

confidence: 99%

Framework and Items for Measuring End-User Computing Competency with a Case Study

Yoon¹

2014

IJCTE

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Abstract-The end-user computing capability is necessitated for efficiently performing his or her given tasks and improving his or her business performance in an computing environment. A measurement framework and items of an end-user computing competency is extracted from the major components of a general computing competency. Through a survey measurement of 287 respondents, this study performed factor and reliability analyses, and proposed a 15-item framework that can examine an end-user computing competency in an organizational computing environment. The application of the measure is confirmed by applying it to measuring the computing competency of the end-users in a firm computing environment and by presenting the measurement results for them.Index Terms-End-User computing, competency, framework, measurement items. I. INTRODUCTIONIn a computer system environment, the end-users use their computing systems for performing the end-users' given tasks. In this environment, we can think that their computing ability have an effect on the performance of their tasks in a computing environment. Hence, this research considers the measures to efficiently examine the end-user computing ability and improve it for raising his or her business completion and the competitiveness of an enterprise. But the researches on the measurement of the end-user computing ability have not actively executed, and these studies focus on specific software skills, professional skills, and operational skills and so on [1]- [3]. For the end-users effectively accomplish their tasks in a computing environment, they have to be qualified with not fragmentary computing skills but the total computing ability including the concepts, knowledge, application, and experience departments. The measurement scale suitable for examining end-user computing ability in a whole computing capability perspective are very important to effectively manage and improve the computing capability that an end-user can efficiently execute the given tasks in a computing environment. That is, the computing capability of an end-user is a critical factor to raise his or her business execution and results, and it also connects with a firm management performance.Therefore, this study presents a measurement framework Manuscript received August 26, 2013; revised October 20, 2013. The research was supported by a grant from the Academic Research Program of Korea National University of Transportation in 2013.Chui Young Yoon is with the Department of IT Applied-Convergence, Korea National University of Transportation, Chungbuk, 368-701, South Korea (e-mail: yoon0109@ut.ac.kr).and items scale for gauging a perceived end-user computing competency to efficiently perform his or her business tasks in a firm of computing environment. II. END-USER COMPUTING COMPETENCY A. Concepts of End-User ComputingIn previous literature, most of studies define that the end-user is an individual who directly interacting with his or her computer [4]- [6]. End-user computing refers to direct interaction with applic...

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“…End-user support services include development support, data support, and purchasing support among others. Govindarajulu and Reithel (1998) Rockart and Flannery (1983) fail to represent the contemporary end-user. In the current research, a ten-item instrument is used for end-user classifications.…”

Section: Introductionmentioning

confidence: 99%

The Status of End-User Computing Support: An Exploratory Study

Govindarajulu

Lippert

2002

InSITE Conference

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End-User Computing (EUC) influences user productivity, information systems backlogs and user satisfaction. An exploratory study of 192 Midwest end-users was undertaken to investigate support services and end-user types superimposed on support sources. The results of this integrated review offer a richer understanding of end-user dynamics. Data collection occurred through a three-part questionnaire. End-user types were categorized using the Cotterman and Kumar (1989) classification scheme. Support categories were assessed using the Mirani and King (1994) instrument. The Govindarajulu and Reithel (1998) assessment instrument evaluated support services within information centers for local MIS staff and informal assistance. Results are presented from instrument validation procedures and descriptive data analysis that permit conclusions about EUC dynamics. Instrument validation was conducted using standard measures of internal consistency reliability and factor analysis, Cronbach's alpha and a Principle Components Factor Analysis (PCFA), to facilitate factor loading. Descriptive data analysis employed conventional frequency distributions, scatterplots, descriptive data statistics, and other graphical data displays.

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The management of end user computing

Cited by 445 publications

References 4 publications

A Decision Support Model to Determine the Critical Success Factors of Asset Management Services

A Decision Support Model to Determine the Critical Success Factors of Asset Management Services

Framework and Items for Measuring End-User Computing Competency with a Case Study

The Status of End-User Computing Support: An Exploratory Study

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