Ladder of analytical abstraction: a constructive map for data analysis a case of voluntary reporting of human capital
Qualitative Research in Accounting & Management
ISSN: 1176-6093
Article publication date: 18 April 2023
Issue publication date: 4 May 2023
Abstract
Purpose
This study aims to demonstrate how Carney’s ladder of analytical abstraction is used to examine the motivations of banks for reporting human capital (HC) information.
Design/methodology/approach
The authors use semi-structured interviews of senior bank employees at eight large New Zealand banks. They analyse the managers’ views using a constructive mapping of responses applying Carney’s ladder of analytical abstraction. The findings are interpreted from a stakeholder theory perspective.
Findings
The authors find that the New Zealand banks report on HC to manage reputation, strengthen employee relationships and achieve competitive advantages. The results suggest that banks engage in opportunistic reporting to distract external stakeholders while advancing their interests.
Research limitations/implications
The study will guide researchers in the use of Carney’s ladder of analytical abstraction in analysing qualitative data.
Practical implications
This study provides insights for businesses to improve the consistency and quality of HC reporting and ensure that the information needs of broader stakeholder groups are met.
Originality/value
Some previous voluntary reporting studies analyse their data using inductive analysis. The authors use Carney’s ladder of analytical abstraction as a framework to guide our inductive analysis.
Keywords
Acknowledgements
The authors are grateful to the editor, Dr Hannele Mäkelä and two anonymous reviewers for their thoughts and constructive feedback on their manuscript.
Citation
Perera, A. and Rainsbury, L. (2023), "Ladder of analytical abstraction: a constructive map for data analysis a case of voluntary reporting of human capital", Qualitative Research in Accounting & Management, Vol. 20 No. 3, pp. 398-420. https://doi.org/10.1108/QRAM-05-2021-0098
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited