Mission and Vision Statements - Crossref Bibliographic Metadata
收藏NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/L21LYA
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This dataset provides detailed bibliographic metadata records for scholarly publications related to 'Mission and Vision Statements' (and related concepts like Purpose Statements), as retrieved from Crossref.org. This metadata corpus facilitates in-depth exploration of the academic discourse surrounding these strategic communication tools. Contextual Overview of Mission and Vision Statements: 1. Definition and Context: Mission statements define an organization's fundamental purpose, objectives, and approach to reach those objectives. Vision statements describe its desired future state or long-term aspiration. These tools aim to guide strategy, align stakeholders, and communicate organizational identity. While their use is widespread and has historical roots in strategic planning, their formulation and perceived value have evolved, particularly in response to calls for greater authenticity and stakeholder engagement. 2. Strengths and Weaknesses: Well-crafted statements can provide clarity, motivation, and a framework for decision-making. They can foster a shared understanding of purpose. However, they are often criticized for being generic, overly aspirational without clear linkage to action, or misaligned with actual organizational practices. Their effectiveness is highly dependent on the process of their development, their genuine adoption by leadership, and their integration into the organizational culture and systems. 3. Relevance and Research Potential: Mission and Vision statements remain integral to strategic communication and organizational identity, especially as organizations navigate purpose-driven initiatives and societal expectations. They are studied within strategic management, organizational behavior, and corporate communication. Research opportunities include their impact on employee engagement and performance, their role in CSR and sustainability narratives, the processes for developing effective statements, and their influence on organizational resilience and adaptation in dynamic environments. 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 Mission and Vision Statements. 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 Mission and Vision Statements. 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., ("mission statement" OR "vision statement" ...) AND ("corporate" 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 'Mission and Vision Statements' 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 Mission and Vision Statements 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 Mission and Vision Statements should consult the corresponding datasets in the Raw Extracts Dataverse and the Comparative Indices Dataverse.
创建时间:
2025-05-07



