The Framing Effect of Decision Making

Takemura, Kazuhisa

doi:10.1007/978-981-16-5453-4_10

Cited by 2 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Barreto and Patient (2013) confirm that managers at a relatively high distance tend to focus more on the opportunity aspects than on the threat aspects of an exogenous event. Moreover, powerful chairpersons may use elaborative strategies and operations to alter the attention of other team members and their framing of decisions (Takemura, 2021). Implicit and explicit tactics might be applied to shape decision rules and decision process, which in turn influence the interpretive schemes of TMT or board members, as well as the decision-making process (Pfeffer, 1981).…”

Section: The Role Of the Functional Variety And Power Of A Chairpersonmentioning

confidence: 99%

How a chairperson's international experience can affect the post-entry speed of international SMEs from emerging economies: the roles of functional variety and power

Qin

Akhtar

Farooq

et al. 2022

IJOEM

View full text Add to dashboard Cite

PurposePrevious research features the international experience of managers in the decisions regarding internationalisation speed. However, the vitality of the role a chairperson plays in shaping the internationalisation decisions of small and medium-sized enterprises (SMEs) from emerging economies is intriguing. Moreover, the decision-making process and leadership context of SME internationalisation are not fully understood. Drawing upon the upper echelons decision-making theory and the cognitive perspectives of decision, this paper examines the impact of a chairperson's previous experience on the post-entry speed of internationalisation, highlighting the conditioning effects of leadership contingencies – the functional variety and power of the chairperson.Design/methodology/approachThe study uses a panel data set of Chinese SMEs active from 2010 to 2019 to test the research hypotheses. A feasible generalised least-squares estimator was applied to test the hypotheses.FindingsThe results show that the international experience of a chairperson speeds up the depth and breadth of the post-entry speed of internationalisation. However, the strength of these relationships depends on the leadership context. The chairperson's functional variety alleviates the influence of international experience, whilst the power of the chairperson reinforces its impact.Originality/valueThe results show that the international experience of a chairperson speeds up the depth and breadth of the post-entry speed of internationalisation. However, the strength of these relationships depends on the leadership context. The chairperson's functional variety alleviates the influence of international experience, whilst the power of the chairperson reinforces its impact.

show abstract

Section: The Role Of the Functional Variety And Power Of A Chairpersonmentioning

confidence: 99%

How a chairperson's international experience can affect the post-entry speed of international SMEs from emerging economies: the roles of functional variety and power

Qin

Akhtar

Farooq

et al. 2022

IJOEM

View full text Add to dashboard Cite

show abstract

Firm-level climate change risk and adoption of ESG practices: a machine learning prediction

Khan,

Zein Alabdeen,

Anupam

2024

BPMJ

View full text Add to dashboard Cite

PurposeBy combining the notion of prospect theory with advanced machine learning algorithms, this study aims to predict whether financial institutions (FIs) adopt a reactive stance when they perceive climate change as a risk, consequently leading to the adoption of environmental, social and governance (ESG) practices to avoid this risk. Prospect theory assumes that decision-makers react quickly when decisions are framed as a risk or threat rather than as an opportunity.Design/methodology/approachWe used a sample of 168 FIs across 27 countries and seven regions over the period 2003–2020. To conduct our empirical investigation, we compared the prediction accuracy of various machine learning algorithms.FindingsOur findings suggest that out of 12 machine learning algorithms, AdaBoost, Gradient Boosting and XGBoost have the most precision in predicting whether FIs react to climate change risk in adopting ESG practices. This study also tested the overall climate change risk and risks associated with physical, opportunity and regulatory shocks of climate change. We observed that risks associated with physical and regulatory shocks significantly impact the adoption of ESG practices, supporting prospect theory predictions.Practical implicationsThe insights of this study provide important implications for policymakers. Specifically, policymakers must take into account the risk posed by climate change in the corporate decision-making process, as it directly influences a firm’s adoption of corporate actions (ESG practices).Originality/valueTo the best of our knowledge, this is the first study to investigate the firm-level climate change risk and adoption of ESG practices from a prospect theory perspective using novel machine learning algorithms.

show abstract

The Framing Effect of Decision Making

Cited by 2 publications

References 26 publications

How a chairperson's international experience can affect the post-entry speed of international SMEs from emerging economies: the roles of functional variety and power

How a chairperson's international experience can affect the post-entry speed of international SMEs from emerging economies: the roles of functional variety and power

Firm-level climate change risk and adoption of ESG practices: a machine learning prediction

Contact Info

Product

Resources

About