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Outsourcing - Crossref Bibliographic Metadata

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NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/1IBLKY
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资源简介:
This dataset provides detailed bibliographic metadata records for scholarly publications related to the management practice of 'Outsourcing', as retrieved from Crossref.org. This metadata corpus facilitates in-depth exploration of the academic discourse surrounding Outsourcing. Contextual Overview of Outsourcing: 1. Definition and Context: Outsourcing involves contracting out non-core business activities or functions to third-party providers, aiming to leverage external expertise, reduce costs, or improve service quality. While firms have long subcontracted certain tasks, strategic outsourcing as a significant management practice gained momentum from the late 1980s and 1990s, driven by globalization, technological advancements enabling remote work, and a focus on core competencies within organizations across various sectors. 2. Strengths and Weaknesses: Key strengths include cost savings, access to specialized skills and technology, increased flexibility, and allowing firms to focus on their core business. Weaknesses can involve loss of control over outsourced functions, risks to data security and intellectual property, potential for quality issues if vendor management is poor, hidden costs, and negative impacts on employee morale or public perception. Effective governance and clear contracts are crucial. 3. Relevance and Research Potential: Outsourcing remains a highly relevant strategic option, evolving with trends like cloud computing (SaaS, IaaS), robotic process automation (RPA), and global talent sourcing. It is central to operations management, strategic sourcing, and international business studies. Research areas include the impact of digital technologies on outsourcing models, managing global outsourcing relationships, ethical considerations (e.g., labor practices), backsourcing decisions, and the strategic implications of outsourcing innovation and R&D activities. 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 Outsourcing. 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 Outsourcing. 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., "outsourcing" AND ("strategy" OR "BPO" ...)) 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 'Outsourcing' 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 Outsourcing 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 Outsourcing should consult the corresponding datasets in the Raw Extracts Dataverse and the Comparative Indices Dataverse.
创建时间:
2025-05-07
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