User evaluations of IS as surrogates for objective performance

Goodhue, Dale L.; Klein, Barbara; March, Salvatore T.

doi:10.1016/s0378-7206(00)00057-4

Cited by 193 publications

(120 citation statements)

References 32 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: 56%

“…Staples and Seddon (2004) confirmed that the technology-toperformance model can explain performance for both mandatory and voluntary use settings. Different aspects of TTF have been confirmed relevant for IS in general (Ferratt and Vlahos 1998, Goodhue 1995, Goodhue 1998, Goodhue et al 1997, and Goodhue and Thompson 1995, as well as for specific technologies Strong 1998, 1999;Goodhue et al 2000), and for a variety of tasks Strong 1998, 1999;Ferrat and Vlahos 1998;Goodhue 1995Goodhue , 1998Goodhue and Thompson 1995;Goodhue et al 1997Goodhue et al , 2000Majchrzak, Malhotra and John 2005;Staples and Seddon 2004).…”

Section: Task-technology Fit To Explain Is Successmentioning

confidence: 92%

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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: 56%

Section: Task-technology Fit To Explain Is Successmentioning

confidence: 92%

Task-Technology Fit for Mobile Information Systems

Gebauer

Shaw

Gribbins

2010

Journal of Information Technology

145

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“…Thus, we argue that current IS models individually are not broad enough to measure such a relationship as they do only capture a subset of the factors in the broad context of IS, reflecting a common agreement between many researchers [29], [16], [21]. For example, TAM and TTF overlap in a significant way and they could provide a more coherent model if they are integrated, such that model could be even stronger than either standing alone.…”

Section: Literature Reviewmentioning

confidence: 95%

“…Despite the large body of existing research on TAM, TTF and D & M's models [21], [28], [20], none of these models have achieved universal acceptance either due to narrowness of focus or inadequately developed methodologies [10]. These largely independent streams of research sparked our interest to explicitly discuss the main weakness in previous models with the goal of combining a new powerful validated model to further the understanding of the relationship between IS and users including performance impacts and systems usefulness [22], [13], [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the impact of information systems on end user performance: A proposed model

Abugabah¹,

Sanzogni²,

Alfarraj³

2010

IJACSA

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Abstract-In the last decades, information systems (IS) researchers have concentrated their efforts in developing and testing models that help with the investigation of IS and user performance in different environments. As a result, a number of models for studying end users' systems utilization and other related issues including system usefulness, system success and user aspects in business organizations have appeared. A synthesized model consolidating three well-known and widely used models in IS research is proposed.Our model was empirically tested in a sophisticated IS environment investigating the impacts of the enterprise recourse planning (ERP) systems on user perceived performance. Statistical analysis was performed including factors analysis and regression to test the model and prove its validity. The findings demonstrated that the proposed model performed well as most factors had direct and or indirect significant influences on user perceived performance suggesting therefore that the model possesses the ability to explain the main impacts of these factors on ERP users.

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“…Research conducted on adoption of health information technology stressed on a large number of adoption complications that emanated from lack of fit between technological, human and organizational contexts [5], [96][97][98][99]. Recently, Yusof et al [100] and Yusof et al [101] identified the important dimensions through conducting a rigorous evaluation of health information system adoption.…”

Section: Human-organization-technology Fit Modelmentioning

confidence: 99%

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

Esfahani

Ahmadi

Nilashi

et al. 2017

IJET

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Background: Hospital Information System (HIS) is implemented to provide high-quality patient care. The aim of this study is to identify significant dimensional factors that influence the hospital decision in adopting the HIS. Methods: This study designs the initial integrated model by taking the three main dimensions in adopting HIS technology. Accordingly, DEMATEL was utilized to test the strength of interdependencies among the dimensions and variables. Then ANP approach is adapted to determining how the factors are weighted and prioritized by professionals and main users working in the Iranian public hospitals, involved with the HIS system. Results: The results indicated that "Perceived Technical Competence" is a key factor in the Human dimension. The respondents also believed that "Relative Advantage," "Compatibility" and "Security Concern" of Technology dimension should be further assessed in relation to other factors. With respect to Organization dimension, "Top Management Support" and "Vendor Support" are considered more important than others. Conclusion: Applying the TOE and HOT-fit models as the pillar of our developed model with significant findings add to the growing literature on the factors associated with the adoption of HIS and also shed some light for managers of public hospitals in Iran to successfully adopt the HIS.

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User evaluations of IS as surrogates for objective performance

Cited by 193 publications

References 32 publications

Task-Technology Fit for Mobile Information Systems

Task-Technology Fit for Mobile Information Systems

Evaluating the impact of information systems on end user performance: A proposed model

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

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