Change Management - Crossref Bibliographic Metadata

This dataset provides detailed bibliographic metadata records for scholarly publications related to 'Change Management', as retrieved from Crossref.org. This metadata corpus facilitates in-depth exploration of the academic discourse surrounding the processes and strategies for managing organizational transitions. Contextual Overview of Change Management: 1. Definition and Context: Change Management refers to the structured approach to transitioning individuals, teams, and organizations from a current state to a desired future state. Its purpose is to minimize resistance and maximize the benefits of change initiatives, such as new strategies, technologies, or processes. While organizational change is constant, formal Change Management methodologies became prominent as the pace and scale of business transformations increased, particularly from the latter half of the 20th century. 2. Strengths and Weaknesses: Effective Change Management can increase the likelihood of successful project outcomes, improve employee morale and engagement during transitions, and reduce disruption. Key strengths include clear communication, stakeholder involvement, and addressing resistance proactively. Weaknesses can arise from overly prescriptive models, lack of genuine leadership commitment, insufficient resources, underestimation of cultural factors, and "change fatigue" if not managed with empathy and strategic foresight. 3. Relevance and Research Potential: Change Management is perennially relevant as organizations continuously adapt to market shifts, technological advancements, and evolving workforce expectations. It is a core area in organizational behavior, leadership studies, and project management. Research opportunities include agile change management approaches, the role of digital tools in facilitating change, managing change in diverse and virtual work environments, building organizational change capability, and the psychological aspects of individual and collective adaptation to change. 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 Change Management. 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 Change Management. 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., ("change management" OR "organizational change") AND ("process" OR ...)) 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 'Change Management' 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 Change Management 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 Change Management should consult the corresponding datasets in the Raw Extracts Dataverse and the Comparative Indices Dataverse.