The effect of cognitive absorption on marketing learning performance

Miguel Guinalíu · Blanca Hernández Ortega

15 citations0/0 files storedSpanish Journal of Marketing - ESIC

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Management and Marketing Education Digital Marketing and Social Media Flow Experience in Various Fields

Abstract

Purpose The purpose of this paper is to analyse the individual’s experience during the use of Pinterest in a marketing learning process. This experience is a fundamental starting point from which to develop marketing learning processes that flow naturally. Thus, it is necessary to examine the components that determine the individual’s experience and to explore consequences such as collaborative learning and marketing learning performance. Design/methodology/approach To conceptualise the individual’s experience, this study focuses on her/his state of cognitive absorption (CA) and establishes a second-order formative structure made up of five components: heightened enjoyment, curiosity, control, temporal dissociation and focused immersion. The model is estimated with partial least squares modelling, using SmartPLS 2.0 software. Findings The results confirm the significant weights of the components, with the exception of focused immersion, and support the influence of overall CA on the proposed outcomes. They also confirm that collaborative learning exerts a positive influence on the individual’s performance. Originality/value This study makes three contributions. First, it holistically examines the individual’s experience during marketing learning and the importance of its constituent components. Second, it establishes what the consequences of the marketing learning experience are, taking into account both social and individual factors, that is, collaborative learning and individual performance. Third, Pinterest is proposed as a social network with great potential in marketing learning. It is a well-known network which includes very interesting features for learning contexts. Nevertheless, it has been little studied in research.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences 1988On the Evaluation of Structural Equation Models 2011PLS-SEM: Indeed a Silver Bullet 2011An assessment of the use of partial least squares structural equation modeling in marketing research 2004Does Active Learning Work? A Review of the Research 2016Understanding Customer Experience Throughout the Customer Journey 2006The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice

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