Explicit and Implicit Antecedents of Users' Behavioral Beliefs in Information Systems: A Neuropsychological Investigation

Guinea, Ana Ortíz de; Titah, Ryad; Léger, Pierre‐Majorique

doi:10.2753/mis0742-1222300407

Cited by 82 publications

(36 citation statements)

References 107 publications

(171 reference statements)

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“…Ortiz de Guinea et al, 2014;Ortiz de Guinea and Markus, 2009;Ortiz de Guinea and Webster, 2013). We have adapted PU and PE leading to emotions as they are two of the most researched constructs in IS research and also for the reason of parsimony of the model, which allows a clear illustration between cognition and emotions.…”

Section: Limitation and Further Thoughtsmentioning

confidence: 99%

Interplay of cognition and emotion in IS usage

Yang

Bahli

2015

Journal of Enterprise Information Management

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Access to this document was granted through an Emerald subscription provided by emeraldsrm:198285 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to demonstrate the effects of emotion as outcomes of cognition, in turn influencing levels of information system (IS) usage at work. In doing so, the author presents set of propositions illustrating an integrated model by adapting both cognitive and affects aspects to explain continuance of IS usage. Design/methodology/approach -This conceptual paper explains the importance of cognitive judgement to IS usage via emotional lenses. Based on literature covering the concepts of technology adaptation theory, emotions, as well as the theoretical foundations in cognitive appraisal, the author has examined the relationship between cognition and IS usage with mediating emotion. Findings -Propositions based on literature review of cognition and emotions in IS research are presented for further empirical study. The author argues that by connecting cognitive judgement and emotional reactions on IS, both ease of use and usefulness should be considered in designing IS as to how these may generate positive or negative emotions. Research limitations/implications -As the success of IS depends on the users' continued use of the system, an integrated model adapting both cognitive and affects aspects will be better equipped to explain continuance of IS usage. Practical implications -Good IS design could influence not only the effectiveness of IS but also the emotional well-being of employees. Originality/value -This is one of the first studies to consider together the impact of the cognitive and affective processes leading to IS continuance in one model. This is one of the first studies in which one single model is used to consider together the impact of the cognitive and affective processes leading to IS continuance. Thus, the author contributes to IS continuance literature as well as employees' well-being literatures given how IS is embedded in today's working organization. The author also believes the model will stimulate more comprehensive understanding of IS continuance as IS users are considered as human beings with both cognition and emoti...

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Section: Limitation and Further Thoughtsmentioning

confidence: 99%

Interplay of cognition and emotion in IS usage

Yang

Bahli

2015

Journal of Enterprise Information Management

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“…Both IS (Evaristo, Adams, & Curley, 1995;Johannsen, Levis, & Stassen, 1992;Stassen, Johannsen, & Moray, 1990) and, in particular, neuroIS research (Gwizdka, 2010;Riedl et al, 2010: Dimoka et al, 2011Dimoka et al, 2012;Buettner, 2014Buettner, , 2017bde Guinea et al, 2014) has often cited the means of determining a user's mental effort as a fundamental problem. Researchers have established mental effort as an essential construct in theories such as information processing theory (Miller, 1956), cognitive load theory (Sweller, 1988;Sweller, van Merrienboer, & Paas, 1998), task-technology fit theory (Goodhue & Thompson, 1995), flow theory (Csíkszentmihályi, 1975), job demands-resources theory (Bakker & Demerouti, 2006), psychobiological theory (Kock, 2004), and dual process theory (Stanovich & West, 2000).…”

Section: Mental Effort In Is Researchmentioning

confidence: 99%

“…As Figure 5 shows, we achieved good classification accuracy of user performance after only approximately 40 seconds (approximately 5% of the total trial time for each user). User performance is one of the most important IS constructs (Zhang et al, 2009;Kositanurit et al, 2011), while mental effort is in all probability closely related to further significant IS constructs such as perceived ease of use (Davis, 1989;de Guinea et al, 2014;Dimoka et al, 2011;van der Heijden, 2004).…”

Section: Contributions To Research and Practicementioning

confidence: 99%

“…Using our cost-efficient and physiology-based method, one can empirically investigate the relationships between mental effort and other important IS constructs such as perceived ease of use in a much more sophisticated manner (Dimoka et al, 2011;Dimoka et al, 2012;de Guinea et al, 2014). Furthermore, our approach may complement other eye-tracking approaches such as gaze-fixation analysis in order to improve user experience (Djamasbi, Siegel, & Tullis, 2012;Sheng & Joginapelly, 2012;Eckhardt et al, 2013;Djamasbi, 2014), a triangulation that may also help to better explain the construct of mental effort itself since, until now, research has not defined mental effort and its derivatives well psychometrically (Xie & Salvendy, 2000;Dunaway & Steelman 2013, Matthews, Reinerman-Jones, Barber, & Abich, 2015.…”

Section: Future Researchmentioning

confidence: 99%

“…Since, in all probability, mental effort is also closely related to pivotal IS constructs other than performance such as perceived ease of use (Davis, 1989;de Guinea, Titah, & Léger, 2014;Dimoka et al, 2011, p. 12;van der Heijden, 2004, p. 697), applying the method to study the relations to these IS constructs would be worthwhile. Our study will likely have a high impact on IS research since one can apply the performance measurement method costefficiently to research and practical environments without disturbing participants.…”

Section: Introductionmentioning

confidence: 99%

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This is a methodological presentation of the relationship between semantics and survey statistics in human resource development (HRD) research. This study starts with an introduction to the semantic theory of survey response (STSR) and proceeds by offering a guided approach to conducting such analyses. The reader is presented with two types of semantic algorithms and a brief overview of how they are calculated and how they can be accessed by interested researchers. Subsequently, we use semantic data to reanalyze a previously published study on the relationships between perceptions of a trainee program, intrinsic motivation, and work outcomes. The semantic algorithms can explain between 31 and 55% of the variation in the observed correlations. This article shows how the statistical models originally used to explore the survey data can be replicated using semantics either alone or as an identifiable source of variation in the data. All the steps are presented in detail, and the datasets as well as the statistical syntax necessary to perform the analyses are made available to the readers. Implications for methodology and the improvement of predictive validity in HRD research are discussed.

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Explicit and Implicit Antecedents of Users' Behavioral Beliefs in Information Systems: A Neuropsychological Investigation

Abstract: Ryad Titah is an associate professor of Information Systems at HEC Montréal. His main research interests are in information technology acceptance, use and impact in both public and private organizations. His work has been published in journals such as Computers in Human Behavior,

Cited by 82 publications

References 107 publications

Interplay of cognition and emotion in IS usage

Interplay of cognition and emotion in IS usage

Real-time Prediction of User Performance based on Pupillary Assessment via Eye-Tracking

Measuring semantic components in training and motivation: A methodological introduction to the semantic theory of survey response

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