Supporting software maintenance with software engineering tools: A Computed task–technology fit analysis

Dishaw, Mark T.; Strong, Diane M.

doi:10.1016/s0164-1212(98)10048-1

Cited by 98 publications

(57 citation statements)

References 42 publications

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“…Related studies broadly confirmed the relevance of the TTF construct to assess the value of an IS (Goodhue 1995) and to assess and predict system usage (Dishaw and Strong 1998) and individual performance (Goodhue et al 2000). Staples and Seddon (2004) confirmed that the technology-toperformance model can explain performance for both mandatory and voluntary use settings.…”

Section: Task-technology Fit To Explain Is Successmentioning

confidence: 55%

Task-Technology Fit for Mobile Information Systems

Gebauer

Shaw

Gribbins

2010

Journal of Information Technology

145

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Mobile information systems hold great promise to support organizational processes. Clear guidelines however, of how to design effective mobile information systems in support of organizational processes have not been developed. Based on earlier research studies that emphasized the importance of a fit between organizational tasks and technology (Goodhue and Thompson 1995), and that developed a systematic fit profile for one particular task−technology combination, namely group support systems to support group tasks (Zigurs and Buckland 1998), this research paper seeks to develop a fit profile for mobile information systems to support managerial tasks. We suggest to determine task−technology fit as a three−way match between managerial tasks (operationalized by non−routineness, interdependence and time−criticality), mobile information systems (operationalized by functionality, user interface, and adaptability), and the mobile use context (operationalized by distraction, quality of network connection, previous experience, and mobility). The analysis shows that use situations characterized by high distraction and poor quality of network connection are particularly challenging for the design of mobile information systems, and that the user interface requires particular attention. The proposed framework provides guidelines for the design of effective mobile information systems and for future research studies. AbstractMobile information systems (IS) hold great promise to support organizational processes. Clear guidelines, however, of how to design effective mobile IS in support of organizational processes have not been developed. Based on earlier research that emphasizes the importance of fit between organizational tasks and technology and that develops fit profiles for specific task-technology combinations, this paper develops a task-technology fit (TTF) profile for mobile IS to support managerial tasks. We suggest a three-way match between dimensions of managerial tasks, mobile IS, and the mobile use context. We find that use situations characterized by high distraction and poor quality of network connection are particularly challenging for the design of mobile IS, and that the user interface requires particular attention. The proposed conceptual model of task-technology fit provides guidelines for the design of effective mobile IS and for future research studies.

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Section: Task-technology Fit To Explain Is Successmentioning

confidence: 55%

Task-Technology Fit for Mobile Information Systems

Gebauer

Shaw

Gribbins

2010

Journal of Information Technology

145

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“…Another model is the Task-Technology Fit (TTF) model [16], which states that the 'fit' between a task and technology is "the matching of the functional capability of available software with the activity demands of the task" [10], but this ignores human and social factors such as personal preferences of developers. Others focus on specific contexts; for example, both Rossi et al [42], and Fitzgerald et al [14] present frameworks to explain FOSS adoption in the public sector.…”

Section: Explaining Adoption Of New Toolsmentioning

confidence: 99%

How do free/open source developers pick their tools?

Krafft¹,

Stol

Fitzgerald

2016

Proceedings of the 38th International Conference on Software Engineering Companion

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Free and Open Source Software (FOSS) has come to play a critical role in the global software industry. Organizations are widely adopting FOSS and interacting with open source communities, and hence organizations have a considerable interest in seeing these communities flourishing. Little research has focused on the tools used to develop that software. Given the absence of formal mandate that would appear in traditional organizations, an open question is what influences a FOSS contributor's decision to adopt a tool and how workflows get established in FOSS teams. In this paper we report on a Delphi study conducted in the Debian Project, one of the largest FOSS projects. Drawing from data collected in three phases from a panel of 21 carefully selected and well-informed participants, we identified 15 factors that affect decisions to adopt tools and relate those to existing models of innovation and diffusion. CCS Concepts• Software and its engineering → Software maintenance tools; Collaboration in software development KeywordsFree/open source software, tools, Delphi study, qualitative study

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“…Others presented a more indirect approach and determined fit as the extent to which technology complied with theoretically derived requirements to support a particular task. For example, Zigurs and Buckland (1998) determined fit based on the adherence of group support systems to ideal profiles of requirements of group tasks, whereas Dishaw and Strong (1998) used a computational approach to determine fit as a match between user-indicated requirements of software maintenance tasks, and the functionality that was actually provided by the systems.…”

Section: Applications Of the Theory Of Task-technology Fit To Variousmentioning

confidence: 99%

“…A comparable approach has been applied by Goodhue and Thompson (1995) who conceptualized system use as the "extent to which the information systems have been integrated into each individual's work routine, whether by individual choice or by organizational mandate" (p.223, see also p. 218), and measured integration by the degree to which users were dependent on the individual systems. Dishaw and Strong (1998) operationalized the extent to which a software tool was used based on user-indications that ranged from a very small to very large extent.…”

Section: Measurement Scalesmentioning

confidence: 99%