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Measuring task conflicts as they occur: a real-time assessment of task conflicts and their immediate affective, cognitive and social consequences

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Abstract

When two or more individuals with different values, interests, and experiences work together, interpersonal conflicts are inevitable. Conflicts, in turn, can hinder or delay successful task completion. However, certain types of conflicts may also have beneficial effects. The literature differentiates between task conflicts (TCs) and relationship conflicts (RCs). Whether TCs are detrimental or beneficial for performance largely depends on the simultaneous occurrence of RCs. However, the reasons for the differential effects of TCs with and without RCs remain largely unknown. Therefore, we explored the underlying fine-grained mechanisms of the conflict-performance relationship in two studies. We used event-sampling methodology to track employees’ conflicts in the field (study 1) and we examined conflicts in a controlled laboratory setting (study 2). We found that RCs during TCs made participants feel disrespected and thereby increased negative affect. Further, RCs during TCs impaired knowledge gain, which decreased positive affect. In turn, low positive affect explained why TCs with RCs led to poorer performance than TCs without RCs. However, neither of the two studies supported the assumption that high negative affect from RCs during TCs—by itself—had adverse effects on performance. Our results confirm previous findings of the destructive character of RCs during TCs and additionally provide new insights into the nature and complexity of workplace conflicts by introducing positive affect as a missing piece of the puzzle.

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Notes

  1. We invited several researchers not involved in this study to evaluate the quality of the items and asked them for formulation suggestions.

  2. We performed two additional path analyses in which we contrasted pure TCs with interactions without any conflicts to investigate the mere effects of pure TCs. Here, we also found that participants experienced more positive affect during pure TCs (than during interactions without conflicts) as mediated by knowledge gain (estimate = .069 (.027), CI95% = [.021, .128]). Furthermore, participants performed better during pure TCs (than during interactions without conflicts) as mediated by positive affect (estimate = .020 (.011), CI95% = [.002, .047]) but not as mediated by negative affect (estimate = .004 (.012), CI95% = [− .018, .029]). However, participants experienced not only more positive affect but also more negative affect during pure TCs (than during interactions without conflicts) as mediated by feelings of respect (estimate = .496 (.074), CI95% = [.362, .653]). This finding is unsurprising as during pure TCs, one’s opinions and arguments are rejected, which lowers feelings of respect and increases stress. Yet, compared with TCs with RCs, individuals still feel relatively respected and relaxed during pure TCs.

    Furthermore, we performed two additional path analyses in which we contrasted the absence and presence of TCs during RCs to investigate whether the amount of conflict may explain why TCs with RCs are “bad” conflicts in contrast to pure TCs. We found that pure RCs are more damaging than TCs with RCs as follows: Participants experienced more negative affect during pure RCs (compared with TCs with RCs) as mediated by feelings of respect (estimate = .244 (.134), CI95% = [.002, .528]). Further, participants experienced less positive affect during pure RCs (than during TCs with RCs) as mediated by knowledge gain (estimate = − .392 (.141), CI95% = [− .712, − .150]). Furthermore, pure RCs hindered performance more than TCs with RCs (estimate = − 1.434 (.329), CI95% = [− 2.080, − 0.788]). However, neither negative nor positive affect acted as a mediator here. Hence, the amount of conflict was less essential for the conflict’s consequences than the type of conflict.

  3. The TOST procedure (Lakens, 2016) indicated that the observed effect size was significantly within the equivalence bounds of a medium effect size (Cohen’s d = − 0.5 and Cohen’s d = 0.5), t(34) = 2.16, p = .019.

  4. The TOST procedure (Lakens, 2016) indicated that the observed effect size was significantly within the equivalence bounds of a medium effect size (Cohen’s d = − 0.5 and Cohen’s d = 0.5), t(34) = 2.61, p = .007.

  5. We adapted the German version of Jehn’s (1995) conflict scale by Lehmann-Willenbrock et al. (2011) to suit the laboratory setting. Specifically, we asked about the presence or absence of conflicts (e.g., “Did you experience disagreements with your interaction partner regarding the content of the work being done?”), and, if conflicts were present, participants were asked to rate the intensity rather than the frequency of conflicts (e.g., “How intense were these disagreements with your interaction partner?”), on a 6-point response scale (from 1 = mild to 6 = intense).

  6. Prior to the analysis, we performed a baseline correction.

  7. As control analyses (in which we eliminated the participants who reported suspicion that they were not interacting with a real person) increased rather than decreased the size of the coefficients, we decided to use a more conservative approach and report the results based on all participants.

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Acknowledgements

We would like to thank Antonia Föhl, Annika Walther, Katharina Heise, Nadine Panzlaff, Kirsten Wagner, and Laura Linke for their help with the participant recruitment and participant care as well as with the data collection and preparation of the stimulus material for study 2.

Funding

Data collection of this study was supported by a grant from the structured graduate program “Self-Regulation Dynamics Across Adulthood and Old Age: Potentials and Limits” (Humboldt-Universität zu Berlin) to Heidi Mauersberger.

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Correspondence to Heidi Mauersberger.

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All procedures performed in the two studies were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the studies.

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The authors declare that they have no conflict of interest.

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ESM 1

Fig. A. Overview of results from model 1 and model 2 in study 1, controlled for task conflict intensity. Coefficients are standardized. Sample size varies slightly between models due to missing data. Pure TCs, task conflicts without relationship conflicts; TCs with RCs, task conflicts with relationship conflicts. *p < .05; **p < .01; ***p < .001 (PDF 47 kb)

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Mauersberger, H., Hess, U. & Hoppe, A. Measuring task conflicts as they occur: a real-time assessment of task conflicts and their immediate affective, cognitive and social consequences. J Bus Psychol 35, 813–830 (2020). https://doi.org/10.1007/s10869-019-09640-z

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