The role of digital visualisation in climate change scenarios' decision-making
Tracks
Jade 1
| Tuesday, July 2, 2024 |
| 9:30 AM - 9:45 AM |
Presenter
Assoc Prof Laura Maran
Assoc Prof
RMIT University
The role of digital visualisation in climate change scenarios' decision-making
Abstract
PURPOSE:
The purpose of this study is to provide an application of digital visualization techniques to make comprehensible and useful for strategic decision-making purposes large datasets of qualitative data on the companies perceived challenges and opportunities to prepare and provide climate-change scenarios financial disclosures.
DESIGN/METHODOLOGY:
Card et al. (1999) model of data visualisation process is applied to categorise large datasets of raw qualitative data into inner elements and their relationships. Strategic-decision making matrices applications inspires the interpretation and design of relevant decision-making drivers into a system of quadrants. This one provides a clear positioning of the companies towards the successful implementation of climate-change scenarios disclosures depending on the industry sector of reference and, therefore, the exposure to physical and/or transitional climate-change risks.
FINDINGS:
With respect to two extremes of ideal positioning, the resulting data visualisation matrix indicates the relative positioning of companies pertaining to different industry sectors, according to their balanced perceptions of risks and opportunities in the implementation of climate-change scenarios disclosures. Since the industry sectors are differently affected by physical or transitional risks to climate change, the matrix may predict the level of implementation of such disclosures, visualise the resistances and suggest targeted industry interventions for an effective and successful full implementation.
ORIGINALITY/VALUE:
This work has a methodological and original value in terms of the application of specific visualisation techniques, typical of strategic decision-making, to large dataset of qualitative data about companies perception. As far as we know, this is the first attempt of this kind on CDP data related to climate-change scenarios disclosures. The further point of originality sits on the mapping and prediction capacities of the resulting visual matrix for disclosures preparers (companies), accounting regulation authorities, governmental decision makers and to a lesser extent investors.
The purpose of this study is to provide an application of digital visualization techniques to make comprehensible and useful for strategic decision-making purposes large datasets of qualitative data on the companies perceived challenges and opportunities to prepare and provide climate-change scenarios financial disclosures.
DESIGN/METHODOLOGY:
Card et al. (1999) model of data visualisation process is applied to categorise large datasets of raw qualitative data into inner elements and their relationships. Strategic-decision making matrices applications inspires the interpretation and design of relevant decision-making drivers into a system of quadrants. This one provides a clear positioning of the companies towards the successful implementation of climate-change scenarios disclosures depending on the industry sector of reference and, therefore, the exposure to physical and/or transitional climate-change risks.
FINDINGS:
With respect to two extremes of ideal positioning, the resulting data visualisation matrix indicates the relative positioning of companies pertaining to different industry sectors, according to their balanced perceptions of risks and opportunities in the implementation of climate-change scenarios disclosures. Since the industry sectors are differently affected by physical or transitional risks to climate change, the matrix may predict the level of implementation of such disclosures, visualise the resistances and suggest targeted industry interventions for an effective and successful full implementation.
ORIGINALITY/VALUE:
This work has a methodological and original value in terms of the application of specific visualisation techniques, typical of strategic decision-making, to large dataset of qualitative data about companies perception. As far as we know, this is the first attempt of this kind on CDP data related to climate-change scenarios disclosures. The further point of originality sits on the mapping and prediction capacities of the resulting visual matrix for disclosures preparers (companies), accounting regulation authorities, governmental decision makers and to a lesser extent investors.
Biography
Laura Maran is Associate Professor in Management Accounting at RMIT University (Australia). Her research interests include management accounting in the public sector and accounting history. She is interested in exploring the root dynamics that informed the current evolution of performance management systems and forms of accounting in a diverse range of institutions (universities, councils, health-care institutions, charities, industries). She is joint editor of Accounting History (ABDC: A-ranked) and was identified as Australian field leader in 2020. Her accounting history scholarship is also acknowledged internationally. She is editorial board member of accounting journals, such as AAAJ (ABDC: A*-ranked), and ad-hoc reviewer for CPA, FAM, BAR, SAMPJ, JPBA&F and others. Her former industry experience includes managerial and consultant positions for national and international organizations, such as suppliers of Ferrari sports cars, regional governments, and health-care organizations. This experience allows her to embed authentic cases and industry-relevant issues to the teaching of undergraduate and post-graduate courses in the strategic and management accounting field. Her students and PhD students praise her efforts as extremely relevant to establish their successful career beyond academia in either industry (cybersecurity companies, business incubators, renewable energy companies) and government (Commonwealth Treasury).
Chair
Yinka Moses
Academic Programme Leader
Victoria University Of Wellington
