Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis

Skarmeas, Dionysis; Leonidou, Constantinos N.; Saridakis, Charalampos

doi:10.1016/j.jbusres.2013.12.010

Cited by 253 publications

(219 citation statements)

References 48 publications

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“…Hypotheses testing that relies on such methods cannot always be trusted. For instance, MRA follow net effect estimations and its findings can be affected by the existence of high multicollinearity (Skarmeas, Leonidou, & Saridakis, 2014). Even when researchers control for high multicollinearity, net effects may change direction and level of significance when additional predictors are added in the equation (Armstrong, 2012).…”

Section: The Need For Set-theoretic Approaches: Fsqcamentioning

confidence: 99%

“…(a) symmetry -that is, low (high) degrees of the independent variable always correspond to low (high) degrees of the dependent variable; and (b) linearity -that is, an increase (decrease) in an independent variable will result in a corresponding increase (decrease) in the dependent variable (Skarmeas et al, 2014). However, in reality, relationships could be asymmetric and non-linear.…”

Section: The Need For Set-theoretic Approaches: Fsqcamentioning

confidence: 99%

“…the membership of a variable in the category is binary: 0 for non-membership and 1 for membership) or fuzzy sets (i.e. variables take varying degrees of memberships from 0 to 1) (Skarmeas et al, 2014). Fuzzy set analysis usually uses three threshold breakpoints for set calibration: 0.05 for full non-membership, 0.50 as the crossover point of maximum ambiguity, and 0.95 for full membership (Ragin, 2008).…”

Section: Calibration Of Datamentioning

confidence: 99%

“…Each solution provides pathways for high membership of the outcome of interest (Skarmeas et al, 2014). A complex solution reflects only the empirically observed combinations of causal conditions; the remainders (i.e.…”

Section: Simplification Of Combinations and Assessment Of Solutionsmentioning

confidence: 99%

“…Apart from consistency measures, coverage statistics are used to interpret fsQCA findings (Ragin, 2008). Coverage gauges the empirical importance of solutions for reaching the outcome of interest; specifically, it demonstrates how much of the outcome is explained by the solution as a whole and by each solution pathway separately (Skarmeas et al, 2014). A model solution is perceived as explanatory when coverage is between 0.25 and 0.65 (Rihoux & Ragin, 2009).…”

Section: Simplification Of Combinations and Assessment Of Solutionsmentioning

confidence: 99%

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Alternative pathways to utilizing customer knowledge: A fuzzy-set qualitative comparative analysis

Chari

Tarkiainen

Salojärvi

2016

Journal of Business Research

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This study explores alternative configurations of causes to customer knowledge utilization using a set theoretic approach with fuzzy set qualitative comparative analysis. The study uses a previous empirical dataset of Salojärvi, Sainio, and Tarkiainen (2010) to assess organizational factors that enhance customer knowledge utilization. The results show that use of key account management teams and customer relationship management systems are core predictors for high degrees of customer knowledge utilization. However, these core causes are not sufficient on their own; they need to be accompanied by different degrees (i.e. high/low) and combinations of other peripheral antecedents, such as customer relationship orientation, top management involvement, and formalization. This study shows that many firms make trade-off decisions regarding the use of these core and peripheral conditions. The present study identifies alternative pathways to customer knowledge utilization, discuss their differences, and suggest managerial implications and future research directions.

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Section: The Need For Set-theoretic Approaches: Fsqcamentioning

confidence: 99%

Section: The Need For Set-theoretic Approaches: Fsqcamentioning

confidence: 99%

Section: Calibration Of Datamentioning

confidence: 99%

Section: Simplification Of Combinations and Assessment Of Solutionsmentioning

confidence: 99%

Section: Simplification Of Combinations and Assessment Of Solutionsmentioning

confidence: 99%

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Alternative pathways to utilizing customer knowledge: A fuzzy-set qualitative comparative analysis

Chari

Tarkiainen

Salojärvi

2016

Journal of Business Research

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Non‐financial strategy disclosure and environmental, social and governance score: Insight from a configurational approach

et al. 2021

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Evaluating the determinants of environmental, social and governance (ESG) score is significant for topic for academics and regulators and companies. Despite its importance, little attention has been paid to non-financial strategy disclosure and how to communicate non-financial information. However, in the recent years, attention to the topic has considerably increased as demonstrated, in the European context, by the introduction of the non-financial reporting directive in 2014. Therefore, it is important to analyse how the quantity and quality of disclosure influence the ESG score. To explore this relationship, a configurational analysis aimed at 31 Italian listed companies was studied by fuzzy-set qualitative comparative analysis. The results showed that there were three path types driving the ESG score and that integrated reporting played a highly significant role in promoting a high ESG score. Specifically, we show the importance of assessing the combinations of quality and quantity disclosures for ESG score through configurational thinking. These results provide a first theoretical basis for the effectiveness of disclosure measurements on ESG score, charting the future direction for environmental management studies.

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Determinants of corporate sustainability message sharing on social media: A configuration approach

2021

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With an increasing number of consumers receiving information on social media, companies have adopted these channels to communicate their sustainability efforts. Digital channels enable reaching large audiences in a short period of time, and engaging consumers in message sharing activities to reap those rewards has its own challenges. Companies need to understand what increases sharing of their sustainability messages, but they must be mindful of not overstating their sustainability efforts which may be perceived as greenwashing. The Information Adoption Model is used to assess how message information quality and source credibility affect sharing of corporate sustainability messages. A fuzzy‐set Qualitative Comparative Analysis is conducted on a survey of UK social media users (n = 527). Results show that dimensions of information quality and source credibility act in combination to influence sustainability message sharing. The study informs managers what to stress in social media message planning to facilitate effective sustainability communications.

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Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis

Cited by 253 publications

References 48 publications

Alternative pathways to utilizing customer knowledge: A fuzzy-set qualitative comparative analysis

Alternative pathways to utilizing customer knowledge: A fuzzy-set qualitative comparative analysis

Non‐financial strategy disclosure and environmental, social and governance score: Insight from a configurational approach

Determinants of corporate sustainability message sharing on social media: A configuration approach

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