Balanced Scorecard - Crossref Bibliographic Metadata

This dataset provides detailed bibliographic metadata records for scholarly publications related to the 'Balanced Scorecard' (BSC), as retrieved from Crossref.org. This metadata corpus facilitates in-depth exploration of the academic discourse surrounding this strategic performance management framework. Contextual Overview of Balanced Scorecard: 1. Definition and Context: The Balanced Scorecard is a strategic performance management framework developed by Kaplan and Norton in the early 1990s. It aims to provide a more comprehensive view of organizational performance by complementing traditional financial measures with metrics from three additional perspectives: customer, internal business processes, and learning and growth. Its purpose is to translate strategy into a coherent set of performance measures that drive behavior and track progress. 2. Strengths and Weaknesses: Strengths include providing a holistic view of performance, aligning operational activities with strategy, improving communication of strategic objectives, and facilitating organizational learning. Challenges can arise from difficulties in selecting appropriate measures, ensuring causal links between measures and strategic objectives ("strategy maps"), potential for information overload, and the resources required for implementation and maintenance. Its success depends on robust data systems and active leadership engagement. 3. Relevance and Research Potential: The BSC remains a widely adopted framework for strategy execution and performance management globally. It has influenced the development of performance dashboards and strategic management systems. Research opportunities include its adaptation to non-profit and public sectors, its integration with risk management and sustainability reporting, the impact of BSC use on organizational performance and agility, and the behavioral implications of its implementation (e.g., gaming of metrics, anagerial attention). Dataset Structure and Content: The dataset consists of one or more archives. Each archive contains a series of approximately 850 monthly folders (e.g., spanning from January 1950 to January 2025), reflecting a granular month-by-month process of metadata retrieval and curation for Balanced Scorecard. Within each monthly folder, users will find several JSON files documenting the search and filtering process for that specific month: term_results/: A subfolder containing JSON files for results of initial broad keyword searches related to Balanced Scorecard. merged_results.json: Aggregated results from these individual term searches before advanced filtering. filtered_results.json: Results after applying a more specific, complex Boolean query (e.g., "balanced scorecard" AND ("performance" OR "strategy" ...)) and exact phrase matching to refine relevance. The exact query used is detailed within this file. final_results.json: This is the primary file of interest for most users. It contains the curated, deduplicated (by DOI) list of unique publication metadata records deemed most relevant to 'Balanced Scorecard' for that specific month. Includes fields like Title, Authors, DOI, Publication Date, Source Title, Abstract (if available from Crossref). statistics_results.json: Summary statistics of the search and filtering process for the month. This granular monthly structure allows researchers to trace the evolution of academic discourse on Balanced Scorecard and identify relevant publications with high temporal precision. For an overview of the general retrieval methodology, refer to the parent Dataverse description (Management Tool Bibliographic Metadata (Crossref)). Users interested in aggregated publication counts or trend analysis for Balanced Scorecard should consult the corresponding datasets in the Raw Extracts Dataverse and the Comparative Indices Dataverse.