The Future of Target-Setting Theory and Practice

ABSTRACT This paper highlights three emerging trends in target setting: (1) Objectives and Key Results (OKRs), (2) sustainability goals, and (3) targets for artificial intelligence (AI) agents. OKR is increasingly used in practice but remains under-researched, offering opportunities to apply existing theories to understand its effectiveness. Although sustainability targets are widely reported externally, their internal use and impact are less understood. Finally, organizations start delegating tasks to AI agents. Target setting can be a means to align autonomous AI agent behavior with organizational goals. Researchers must examine how the direction, reflected in target metrics, and the demands imposed by target difficulty or budget limits, shape AI behavior—sometimes in unintended ways. JEL Classifications: M12; M14; M15; M41.

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Publication Details

Journal
Journal of Management Accounting Research
Published
2025-09-23
DOI
https://doi.org/10.2308/jmar-2025-063
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

The Future of Target-Setting Theory and Practice

Matthias D. Mahlendorf
1 citations
Journal of Management Accounting Research
Ethics and Social Impacts of AI
2.37
article

The Future of Target-Setting Theory and Practice

Matthias D. Mahlendorf
article en
1 citations

Abstract

ABSTRACT This paper highlights three emerging trends in target setting: (1) Objectives and Key Results (OKRs), (2) sustainability goals, and (3) targets for artificial intelligence (AI) agents. OKR is increasingly used in practice but remains under-researched, offering opportunities to apply existing theories to understand its effectiveness. Although sustainability targets are widely reported externally, their internal use and impact are less understood. Finally, organizations start delegating tasks to AI agents. Target setting can be a means to align autonomous AI agent behavior with organizational goals. Researchers must examine how the direction, reflected in target metrics, and the demands imposed by target difficulty or budget limits, shape AI behavior—sometimes in unintended ways. JEL Classifications: M12; M14; M15; M41.

Journal of Management Accounting ResearchVol. 37(3)
Frankfurt School of Finance & Management (DE)
Openalex Percentile: Top 9%
Ethics and Social Impacts of AI
2.37
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