Information System Use–Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use

Barki, Henri; Titah, Ryad; Boffo, Céline

doi:10.1287/isre.1070.0122

Cited by 222 publications

(195 citation statements)

References 53 publications

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“…Actual system use is a behavior of three dimensions: immersion (Burton-Jones & Straub, 2006), reinvention, and learning (Barki, Titah, & Boffo, 2007). There is an element of interaction with technology between the user and the system, development of fit between the task and the system, and the user's search for knowledge to improve skills required to use the system.…”

Section: Discussionmentioning

confidence: 99%

“…Actual system use was measured in three dimensions: immersion, reinvention, and learning (Barki, Titah & Boffo, 2007;Burton-Jones & Straub, 2006 All of the aforementioned scales were adapted for use in this study and factor analyzed (see Appendix). The total correlation of items in each scale was above 0.34, and therefore all items contributed to the measure significantly (Rust & Golombok, 1995).…”

Section: Instrumentmentioning

confidence: 99%

“…Prediction of behaviors is therefore not based on intention to use the system (Rawstorne, Jayasuriya & Caputi 1998;. The occurrence of actual system use involves interaction among a user, a system, and a task (BurtonJones & Straub, 2006;Barki, Titah & Boffo, 2007). Actual system use can be characterized in terms of three behaviors, namely, technology interaction behavior, task-technology adaptation behavior, and individual adaptation behavior.…”

Section: Introductionmentioning

confidence: 99%

“…Reinvention is based on task-technology adaptation behavior, or task-technology fit (Barki, Titah & Boffo, 2007). Task-technology adaptation behavior includes all acts such as modifying or changing information system for its use in the organization.…”

Section: Introductionmentioning

confidence: 99%

“…Learning, as an additional dimension of actual system use, is based on individual adaptation behavior (Barki, Titah & Boffo, 2007). Learning is the degree to which users communicate with each other and search for information in order to improve their knowledge and skill on the system.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of User Efficacy and Expectation on Actual System Use

Akinbobola

Adeleke

2013

IJIKM

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Many studies have been done on human-computer interaction (HCI), but there is a dearth of studies on the mandatory actual system use in Nigerian university libraries. The relationship between sources of computer self-efficacy and outcome expectancy on actual system use was assessed, based on social cognitive theory, by surveying mandatory use of KOHA version 3.0.1 integrated library management software. The questionnaire survey was conducted on 61 library personnel in 5 private Nigerian universities. Data were analyzed by multiple regression analysis and Pearson product moment correlation. The structural model accounted for 48% of variance in actual system use, 80% in computer self-efficacy, and 19% in outcome expectancy. This study suggests that usability, supportive management, and computer self-efficacy are important determinants of actual system use of KOHA software. Self-efficacy had influence on outcome expectancy. The implication of applying the social cognitive theory to actual system use of KOHA software by library personnel is discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Instrumentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Influence of User Efficacy and Expectation on Actual System Use

Akinbobola

Adeleke

2013

IJIKM

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Working with activity theory: Context, technology, and information behavior

Allen¹,

Karanasios

Slavova

2011

J. Am. Soc. Inf. Sci.

139

100

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Over the last 7 years, the AIMTech Research Group in the University of Leeds has used cultural-historical activity theory (CHAT) to inform a range of research activities in the fields of information behavior and information systems. In this article, we identify certain openings and theoretical challenges in the field of information behavior, which sparked our initial interest in CHAT: context, technology, and the link between practice and policy. We demonstrate the relevance of CHAT in studying information behavior and addressing the identified openings and argue that by providing a framework and hierarchy of activity-action-operation and semantic tools, CHAT is able to overcome many of the uncertainties concerning information behavior research. In particular, CHAT provides researchers a theoretical lens to account for context and activity mediation and, by doing so, can increase the significance of information behavior research to practice. In undertaking this endeavour, we have relied on literature from the fields of information science and others where CHAT is employed. We provide a detailed description of how CHAT may be applied to information behavior and account for the concepts we see as relevant to its study. Information BehaviorIn 2002, the AIMTech research group in University of Leeds was formed with the broad aims of focusing on the interaction among information behavior, technology, organizational adaptation, and change. Although projects were undertaken in a variety of contexts and environments (from offshore oil rigs to women's refuges), a common strand, which unified research and practice within the group, was the use of cultural-historical activity theory (CHAT) as a theoretical lens. In this article, we outline our motivation for using activity theory and the potential utility of the theory for understanding information behavior.The term "information behavior" was coined by Wilson to cover all aspects of information-related activity, which was originally referred to in the ARIST literature (1966)(1967)(1968)(1969)(1970)(1971)(1972)(1973)(1974)(1975)(1976)(1977)(1978)(1979)(1980) as "user needs" or "information needs" research, until Wilson (1981) suggested the term "information-seeking behavior." Later, Wilson argued that "information behavior" would be more appropriate as a broader term. Wilson's (2000) widely accepted definition describes information behavior as "the totality of human behavior in relation to sources and channels of information, including both active and passive information seeking, and information use" (p. 46). Pettigrew, Fidel, and Bruce's (2001, p. 44) definition, "the study of how people need, seek, give and use information in different contexts, including the workplace and everyday living" is approximately consistent with this. These generalized definitions encompass the active seeking and purposeful retrieval of information, as well as the passive exposure or chance encountering of information. They include an array of interactions with formal sources of information su...

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Everyday appropriations of information technology: A study of creative uses of digital cameras

Salovaara

Helfenstein

Oulasvirta

2011

J. Am. Soc. Inf. Sci.

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Repurposive appropriation is a creative everyday act in which a user invents a novel use for information technology (IT) and adopts it. This study is the first to address its prevalence and predictability in the consumer IT context. In all, 2,379 respondents filled in an online questionnaire on creative uses of digital cameras, such as using them as scanners, periscopes, and storage media. The data reveal that such creative uses are adopted by about half of the users, on average, across different demographic backgrounds. Discovery of a creative use on one's own is slightly more common than is learning it from others. Most users discover the creative uses either completely on their own or wholly through learning from others. Our regression model explains 34% of the variance in adoption of invented uses, with technology cognizance orientation, gender, exploration orientation, use frequency, and use tenure as the strongest predictors. These findings have implications for both design and marketing.

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Information System Use–Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use

Cited by 222 publications

References 53 publications

The Influence of User Efficacy and Expectation on Actual System Use

The Influence of User Efficacy and Expectation on Actual System Use

Working with activity theory: Context, technology, and information behavior

Everyday appropriations of information technology: A study of creative uses of digital cameras

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