Definition and Measurement of End User Computing Sophisticiation

Blili, Samir; Raymond, Louis; Rivard, Suzanne

doi:10.4018/joeuc.1996040101

Cited by 15 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our confidence in the measurement model was bolstered by the statistical significance of all factor loadings, and the fact that all but two of these loadings exceeded the 0.4 threshold commonly considered meaningful in structural model investigations (Ford et al , 1986). We used the “rho coefficient” (see, for example, Blili et al , 1994, for more details about the coefficient) to check the reliabilities of the model constructs primarily because it is not dependent on the number of items in the scale. The obtained rho coefficients for the attitudinal and the transaction‐specific constructs were 0.831 and 0.522 respectively.…”

Section: Resultsmentioning

confidence: 99%

Does brand loyalty influence double jeopardy? A theoretical and empirical study

Bandyopadhyay

Gupta²,

Dubé

2005

Journal of Product &Amp; Brand Management

View full text Add to dashboard Cite

PurposeCompared with the large brands, not only do the small brands attract fewer customers but also their customers buy them less frequently. This twin disadvantage of the less popular brands is termed “double jeopardy” (DJ). Earlier studies on the DJ effect have generally explained this as a behavioral phenomenon relating to the size structure of the market. This article aims to argue that the DJ effect is also influenced by the relationship between consumer choice antecedents and consumer buying behavior.Design/methodology/approachUsing consumer attitudinal and behavioral data on various toothpaste brands collected by a leading consumer goods company, it is shown that small brands are jeopardized in terms of individual‐level choice antecedents of both loyal and switching consumers. In particular, small brands are further jeopardized for brand=switching consumers in terms of weaker attitude‐choice relationship.FindingsThe research findings have significant managerial implications. the research suggests that double jeopardy of small brands may not be as irreversible phenomenon posited. A more in‐depth understanding of the individual‐level antecedents of consumer choice should help small brands to develop innovative offensive and defensive strategies aimed at favorable individual choice antecedents of loyal and switching consumers. For example, it may be prudent for a small brand to concentrate on a selected few segments (such as brand‐loyal segments) instead of spreading scarce brand resources across scattered promotion and distribution strategies.Originality/valueExamines the choice antecedents of consumers who either are loyal to a brand or are brand switchers.

show abstract

Section: Resultsmentioning

confidence: 99%

Does brand loyalty influence double jeopardy? A theoretical and empirical study

Bandyopadhyay

Gupta²,

Dubé

2005

Journal of Product &Amp; Brand Management

View full text Add to dashboard Cite

show abstract

“…End-user computing is a steadily growing area of the IT industry (Kettelhut, 1992;Blili et al, 1996). The proliferation of personal computers within organizations has meant that an increasing number of end users are now capable of potentially developing their own applications (Moynihan, 1993;Edberg & Bowman, 1996).…”

Section: Introductionmentioning

confidence: 99%

End‐user computing and information systems methodologies

Taylor

Moynihan

Wood-Harper

1998

Information Systems Journal

View full text Add to dashboard Cite

End‐user computing is a growing area within the information technology (IT) industry. The number and size of end‐user‐developed applications is steadily increasing, yet little attention is paid to the way in which such applications are developed, and their impact upon organizations. In this paper we examine the relationship between information systems methodologies and the end‐user‐computing environment. In particular, the potential benefits and disadvantages of the use of information systems methodologies for end‐user‐computing, and strategies by which such usage can be accomplished are discussed. This paper is partly the result of a research programme involving case studies in 34 UK organizations aimed at improving business systems.

show abstract

“…However, the majority of these studies do not compare all three data models in all the database tasks (modeling, query writing, query comprehension) nor do they study the relationship of user performance over different database tasks, thereby limiting our understanding of how end‐user computing performance can be enhanced. This gap in knowledge is increasingly problematic in the present situation as more of today's sophisticated knowledge workers are increasingly participating in the design, development, and implementation of their own application programs using commercially available database systems (Blili, Raymond, & Rivard, 1996; Kappelman, Thompson, & McLean, 1993; Powell & Moore, 2002). For the computer information systems department to provide effective end‐user training and consultancy services, it is thus critical to develop a holistic understanding of the effectiveness of the three data models for different database tasks, and on how a task can affect another task.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of novice end‐user computing performance: Data modeling, query writing, and comprehension

Chan

Teo

Zeng

2005

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

End-user computing has become a well-established aspect of enterprise database systems today. End-user computing performance depends on the user-database interface, in which the data model and query language are major components. We examined three prominent data models-the relational model, the Extended-EntityRelationship (EER) model, and the Object-Oriented (OO) model-and their query languages in a rigorous and systematic experiment to evaluate their effects on novice end-user computing performance in the context of database design and data manipulation. In addition, relationships among the performances for different tasks (modeling, query writing, query comprehension) were postulated with the use of a cognitive model for the query process, and are tested in the experiment. Structural Equation Modeling (SEM) techniques were used to examine the multiple causal relationships simultaneously. The findings indicate that the EER and OO models overwhelmingly outperformed the relational model in terms of accuracy for both database design and data manipulation. The associations between tasks suggest that data modeling techniques would enhance query writing correctness, and query writing ability would contribute to query comprehension. This study provides a better and thorough understanding of the inter-relationships among these data modeling and task factors. Our findings have significant implications for novice end-user training and development.

show abstract

Definition and Measurement of End User Computing Sophisticiation

Cited by 15 publications

References 29 publications

Does brand loyalty influence double jeopardy? A theoretical and empirical study

Does brand loyalty influence double jeopardy? A theoretical and empirical study

End‐user computing and information systems methodologies

An evaluation of novice end‐user computing performance: Data modeling, query writing, and comprehension

Contact Info

Product

Resources

About