Normal misconduct in the prescription opioid supply chain

IF 10.2 2区 管理学 Q1 MANAGEMENT Journal of Supply Chain Management Pub Date : 2022-04-09 DOI:10.1111/jscm.12286
Paul F. Skilton, Ednilson Bernardes
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引用次数: 2

Abstract

How and when do relationships between supply chain stages normalize misconduct? This question is especially relevant to oversupply, a form of normal misconduct peculiar to supply chains. Oversupply occurs when apparently ordinary production and distribution processes deliver products in excess of the safe needs of a market. Although past research sheds light on firm-level processes of organizational misconduct, it has neglected the question of between-stage influences on systemic phenomena like oversupply. We explore this question by analyzing the oversupply of prescription drugs that fueled the American opioid epidemic during the early decades of the 21st century. Manufacturers, distributors, pharmacies, and physicians have settled billions of dollars in claims related to opioid oversupply. These settlements overshadow the fact that many supply chain members made the strategic choice to not participate in oversupply. Focusing on the pharmacy stage of the supply chain, this study finds that participation in opioid oversupply is positively influenced by pressure from supplier pools and by the example of nearby competitors as well as by market characteristics. We test our model using a unique dataset that combines geographic, market, and public health data with prescription opioid transaction data from the United States Drug Enforcement Agency. The study breaks new ground by developing the oversupply construct to explain how pressures within supply chains shape misconduct. The oversupply concept is widely generalizable with the potential to inform a next generation of responsible supply chain research that addresses wicked problems like toxic production and consumption.

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处方阿片类药物供应链中的正常不当行为
供应链各阶段之间的关系如何以及何时使不当行为正常化?这个问题与供过于求特别相关,这是供应链特有的一种正常不当行为。供过于求是指表面上普通的生产和分销过程所提供的产品超过了市场的安全需求。尽管过去的研究揭示了组织不当行为的公司层面过程,但它忽略了对供过于求等系统性现象的阶段间影响问题。我们通过分析21世纪初美国阿片类药物泛滥的处方药供过于求来探讨这个问题。制造商、分销商、药店和医生已经就与阿片类药物供应过剩有关的索赔达成了数十亿美元的和解。这些解决方案掩盖了一个事实,即许多供应链成员做出了不参与供过于求的战略选择。本研究聚焦于供应链的药房阶段,发现参与阿片类药物供过于求受到供应商池压力、附近竞争对手的例子以及市场特征的积极影响。我们使用一个独特的数据集来测试我们的模型,该数据集将地理、市场和公共卫生数据与美国缉毒局的处方阿片类药物交易数据相结合。该研究开辟了新的领域,通过发展供过于求的结构来解释供应链内的压力如何塑造不当行为。供过于求的概念可以广泛推广,有可能为下一代负责任的供应链研究提供信息,解决有毒生产和消费等邪恶问题。
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来源期刊
CiteScore
16.00
自引率
6.60%
发文量
18
期刊介绍: ournal of Supply Chain Management Mission: The mission of the Journal of Supply Chain Management (JSCM) is to be the premier choice among supply chain management scholars from various disciplines. It aims to attract high-quality, impactful behavioral research that focuses on theory building and employs rigorous empirical methodologies. Article Requirements: An article published in JSCM must make a significant contribution to supply chain management theory. This contribution can be achieved through either an inductive, theory-building process or a deductive, theory-testing approach. This contribution may manifest in various ways, such as falsification of conventional understanding, theory-building through conceptual development, inductive or qualitative research, initial empirical testing of a theory, theoretically-based meta-analysis, or constructive replication that clarifies the boundaries or range of a theory. Theoretical Contribution: Manuscripts should explicitly convey the theoretical contribution relative to the existing supply chain management literature, and when appropriate, to the literature outside of supply chain management (e.g., management theory, psychology, economics). Empirical Contribution: Manuscripts published in JSCM must also provide strong empirical contributions. While conceptual manuscripts are welcomed, they must significantly advance theory in the field of supply chain management and be firmly grounded in existing theory and relevant literature. For empirical manuscripts, authors must adequately assess validity, which is essential for empirical research, whether quantitative or qualitative.
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