Analyzing the Effects of the Personality Traits on the Success of Online Collaborative Groups

Cavdar, Seyma Kucukozer; Temizel, Tuğba Taşkaya

doi:10.1016/j.sbspro.2016.07.057

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…The focus groups pooled participants into single personality groups, so that they could be shown a personality tailored energy product proposition. Studies have investigated the relationship between personality and group performance (De Dreu & Van Vianen, 2001; Peeters et al, 2006; Rhee et al, 2013) with Kucukozer-Cavdar and Taskaya-Temizel (2016) finding that assigning virtual groups based on personality had a limited impact on enhancing collaboration. The reason for the personality groupings however was to (a) determine whether personality tailored messaging increased willingness to invest and (b) to mirror potential tailored marketing customer journeys that could then be implemented by an organisation if the former was found to be true.…”

Section: Methodsmentioning

confidence: 99%

An Online ‘Face to Face’ Focus Group Approach for Understanding How Household Energy Use and Green Investment Decisions Differ by Personality Traits

Turner

Rushby

Gauthier

et al. 2021

International Journal of Qualitative Methods

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In a UK context, encouraging the uptake of energy efficiency measures at the household level is an ongoing challenge of ever-increasing importance. A combination of economic and psychological factors influence green investment decisions and so this study aims to determine whether online focus groups are a viable means of interacting and evaluating the effectiveness of personality tailored marketing strategies. Here, we present the learnings from over 70 synchronous online focus groups undertaken with a UK energy provider’s household customers ( N = 143) to test the effectiveness of two energy product propositions (smart thermostat and hybrid heat pump) through two channels of communication: video and discussion. The researchers examined and analysed the online engagement and focus group method, focusing on the customer feedback, appropriateness of the approach and how it works in practice, providing key learnings for further research. The approach allowed for greater interaction with a geographically and demographically diverse pool of participants, many of whom are time poor and would ordinarily be unwilling or unable to participate. In this article, we report the differences between implementing online focus groups and face-to-face focus groups and examine the difficulties and uncertainties, in particular relating to entry to sessions and drop-out rates. Online focus groups were found to be a viable, flexible and convenient method for engaging with an energy company’s current customer base in the comfort of their own home.

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Section: Methodsmentioning

confidence: 99%

An Online ‘Face to Face’ Focus Group Approach for Understanding How Household Energy Use and Green Investment Decisions Differ by Personality Traits

Turner

Rushby

Gauthier

et al. 2021

International Journal of Qualitative Methods

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Investigating group formation: An experiment on the distribution of extraversion in educational settings

Müller,

Röpke,

Konert

et al. 2024

Acta Psychologica

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Modeling “Stag and Hare Hunting” Behaviors Using Interaction Data from an mCSCL Application for Grade 5 Mathematics

Bringula

Enverzo

Gonzales

et al. 2023

MTI

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This study attempted to model the stag and hare hunting behaviors of students using their interaction data in a mobile computer-supported collaborative learning application for Grade 5 mathematics. Twenty-five male and 12 female Grade 5 students with an average age of 10.5 years participated in this study. Stag hunters are more likely to display personality dimensions characterized by Openness while students belonging to hare hunters display personality dimensions characterized by Extraversion and Neuroticism. Students who display personality dimensions characterized by Agreeableness and Conscientiousness may tend to be either hare or stag hunters, depending on the difficulty, types of arithmetic problems solved, and the amount of time spent solving arithmetic problems. Students engaged in a stag hunting behavior performed poorly in mathematics. Decision tree modeling and lag sequential analysis revealed that stag and hare hunting behaviors could be identified based on personality dimensions, types of arithmetic problems solved, difficulty level of problems solved, time spent solving problems, and problem-solving patterns. Future research and practical implications were also discussed.

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Analyzing the Effects of the Personality Traits on the Success of Online Collaborative Groups

Cited by 3 publications

References 20 publications

An Online ‘Face to Face’ Focus Group Approach for Understanding How Household Energy Use and Green Investment Decisions Differ by Personality Traits

An Online ‘Face to Face’ Focus Group Approach for Understanding How Household Energy Use and Green Investment Decisions Differ by Personality Traits

Investigating group formation: An experiment on the distribution of extraversion in educational settings

Modeling “Stag and Hare Hunting” Behaviors Using Interaction Data from an mCSCL Application for Grade 5 Mathematics

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