Assessing software maintenance tool utilization using task–technology fit and fitness‐for‐use models

Dishaw, Mark T.; Strong, Diane M.

doi:10.1002/(sici)1096-908x(199805/06)10:3<151::aid-smr165>3.3.co;2-r

Cited by 25 publications

(22 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They indicated that this construct needs to be improved, to establish significant relations with other constructs, and explain the impact of an IS model. Dishaw and Strong (1998) tried to explain the System Use construct with a model with a mediator construct, Intention to Use, and the independent constructs related with the Task-Technology Fit: Intrinsic Fit, Contextual Fit, Representation Fit and Accessibility Fit; and with the Behavioural Control construct. They could explain 16 per cent of the variance of the System Use construct and 70 per cent of the Intention to Use construct.…”

Section: Voluntary and Mandatory Contextsmentioning

confidence: 99%

Analysing the impact of a business intelligence system and new conceptualizations of system use

Gonzales

Wareham

2019

JEFAS

View full text Add to dashboard Cite

Purpose In this study, three models were empirically compared, the DeLone and McLean model, the Seddon model and the Modified Seddon model, by measuring the impact of a business intelligence system (BIS) in companies in Peru. After that, the mediators and dependent constructs were analysed to determine if they were behaving properly (a good level of variance explanation and significant relations with others constructs). The study used a sample of 104 users of the BIS, from companies in several important economic sectors, in a quasi-voluntary context and with six constructs: information quality, system quality, service quality, system dependence (system use), user satisfaction and perceived usefulness (individual impact). Design/methodology/approach To interpret the results, the authors used structural equations. The idea was to look for the best fit and explanations for the outcomes. The main difference in these models is that the DeLone and McLean model considers system dependence (system use) as a part of information system success, but in the Seddon model, it is a consequence of it. Findings The Seddon model seems to show the best fit and explanation for the outcomes. After that, a review of the system use construct was realised, because of its limited variance explained and the few significant relations with other constructs, to improve its explanation power in future research. Research limitations/implications It is estimated that the sample includes more than 15 per cent of all the companies that use a BISs in Peru, so the size of the sample is adequate, but it is not entirely random and therefore limits the generalizability of outcomes. Besides that, a sample size that is bigger could be better for the sake of making a more detailed analysis, permitting the use of some items with less power, or the use of another statistical procedure for structural equations such as the Asymptotical Distribution Free, permitting a more detailed analysis (Hair et al., 2006). Originality/value Business intelligence (BI), one of the most important components of information systems (IS), is playing a very relevant role in business in this time of high competition, high amounts of data and new technology. Currently, companies feel pressured to respond quickly to change and complicated conditions in the market, needing to make the correct tactical, operational and strategic decisions (Chugh and Grandhi, 2013). BI is one of the most important drivers of the decade (Gartner, 2013). Big companies of IS are creating special units specialised in BI, helping companies become more efficient and effective in daily operations.

show abstract

Section: Voluntary and Mandatory Contextsmentioning

confidence: 99%

Analysing the impact of a business intelligence system and new conceptualizations of system use

Gonzales

Wareham

2019

JEFAS

View full text Add to dashboard Cite

show abstract

“…Each model alone tells only a particular part of the story and none of them alone has achieved a universal acceptance in terms of comprehensiveness and suitability to various IS environments specialty with materializing new huge and complex IS such as ERP systems. The current study takes lessons from the IS literature by deriving its theoretical foundation from previous IS models, suggesting that an integration of current models into a combined model would lead to a more explanatory investigation (Urbach et al, 2009;Dishaw and Strong, 1998). The study model was built after an extensive review of the literature of IS and ERP systems, combining the key ideas of TAM, TTF and D&M's models.…”

Section: Model Developmentmentioning

confidence: 99%

Evaluating the impact of ERP systems in higher education

Abugabah

Sanzogni

Alfarraj

2015

The International Journal of Information and Learning Technology

View full text Add to dashboard Cite

Purpose -The purpose of this paper is to evaluate the impacts of enterprise resource planning (ERP) systems on user performance (UP) in higher education institutions with a view to better understanding the ERP phenomenon in these institutions, and to determine whether or not these systems work well in such a complex environment. Design/methodology/approach -A quantitative methodology was used in this study and data were collected by means of a written questionnaire. Measurement items used in the operationalization of the study instrument were adopted from relevant prior research. Findings -The findings indicated that system quality, task technology fit and information quality are the most important factors that lead to better end UP. The provides evidence of the appropriateness of extending IS models as a useful way to give more powerful insights into user aspects and system impact.Research limitations/implications -Although the study factors explained a large portion of the variance in UP, there is a part of the variance that still remains unexplained. Practical implications -Vendors and designers must consider user needs and concerns in the design of ERP packages. Understanding user characteristics and their interaction will lead to better benefits. For example, if ERP users are predominantly individuals with little computer experience, the system designers should invest more in making the systems easier to use to facilitate more system impacts and benefits. Originality/value -There has been a general lack of awareness about the importance of evaluating ERP systems from a user perspective. Rather, the main focus of previous studies was either on critical factors and implementation issues and/or on user acceptance and satisfaction. This study underscores the importance of this issue and presents some insights into the benefits of ERP systems in higher education by taking lessons from IS theory in general.

show abstract

“…The measures used in this study apply to contexts where the IT is a tool with functionality for modeling or problem-solving, rather than a means of accessing data. Thus, neither measure works well in the other's context (Dishaw & Strong, 1998a). Further studies of TTF models and their operationalizations in other contexts would help in refining questionnaire items for better generalizability and reliability.…”

Section: Resultsmentioning

confidence: 96%

“…dimension by adding utilization as a dependent variable (but dropping individual characteristics to simplify the model) and broadening the context. The four studies by Dishaw and Strong (1998a;1998b;2003) extended TTF research along the method dimension by exploring methods for measuring fit. They started with Goodhue's (1995) perceived fit measure and explored alternatives by computing fit from task and technology characteristics via difference scores and via an interaction variable in multiple regression, as suggested by Venkatramen (1989), and via a latent variable in structural equation modeling (AMOS).…”

Section: Ttf Models and Their Extensionsmentioning

confidence: 99%

Extending task technology fit with computer self-efficacy

2006

Self Cite

View full text Add to dashboard Cite

This study is part of a stream of research that has a goal of understanding software utilization choices of users by extending and testing TTF models in a variety of domains using various methods of model estimation. In particular, this study extends a TaskTechnology Fit (TTF) model by including the Computer Self-Efficacy (CSE) construct, a strategy of model extension suggested by Berthon et al. (2002). In this study, the domain is the utilization of modeling tools by business students. The TTF models are estimated using PLS. This study finds that CSE, i.e., users' beliefs in their ability to use a technology, in a TTF model increases the explanatory power of the model over one with only task characteristics, technology functionality, and the fit (interaction) between them. CSE has a direct effect on tool utilization, but no significant interaction, i.e., fit, effects.

show abstract

Assessing software maintenance tool utilization using task–technology fit and fitness‐for‐use models

Cited by 25 publications

References 0 publications

Analysing the impact of a business intelligence system and new conceptualizations of system use

Analysing the impact of a business intelligence system and new conceptualizations of system use

Evaluating the impact of ERP systems in higher education

Extending task technology fit with computer self-efficacy

Contact Info

Product

Resources

About