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doi: 10.1002/joom.1292pmid: N/A
Disasters affect hundreds of millions of people every year and the response of governments is crucial in alleviating the suffering of those affected. Despite the importance of contracting in response to disasters, research on this topic is conspicuous by its absence. This paper begins to address this gap by investigating the choice of procurement contract type by US federal agencies during disaster management operations. The research relies on 47,560 contracts issued by the US federal government in response to 14 major disasters between 2005 and 2016. We build on agency theory to investigate the choice of the contract type made by federal agencies at the different stages of a relief operation. This research provides empirical evidence of the key factors underpinning the choice of contract in the context of disaster management, namely the amount of spend per contract and the type of acquisition (product or service), and reveals the moderating role of the stage of the relief operation.
Akkermans, Henk; Basten, Rob; Zhu, Quan; Van Wassenhove, Luk
doi: 10.1002/joom.1295pmid: N/A
This research investigates growth inhibitors for smart services driven by condition‐based maintenance (CBM). Despite the fast rise of Industry 4.0 technologies, such as smart sensoring, internet of things, and machine learning (ML), smart services have failed to keep pace. Combined, these technologies enable CBM to achieve the lean goal of high reliability and low waste for industrial equipment. Equipment located at customers throughout the world can be monitored and maintained by manufacturers and service providers, but so far industry uptake has been slow. The contributions of this study are twofold. First, it uncovers industry settings that impede the use of equipment failure data needed to train ML algorithms to predict failures and use these predictions to trigger maintenance. These empirical settings, drawn from four global machine equipment manufacturers, include either under‐ or over‐maintenance (i.e., either too much or too little periodic maintenance). Second, formal analysis of a system dynamics model based on these empirical settings reveals a sweet spot of industry settings in which such inhibitors are absent. Companies that fall outside this sweet spot need to follow specific transition paths to reach it. This research discusses these paths, from both a research and practice perspective.
Wang, Qian; Jiang, Shenyang; Ngai, Eric W. T.; Huo, Baofeng
doi: 10.1002/joom.1294pmid: N/A
With the increasing digitization and networking of medical data and personal health information, information security has become a critical factor in vendor selection. However, limited understanding exists regarding how information security influences vendor selection. Drawing from the attention‐based view (ABV), this study examines the potential impact of data breaches on hospitals' selection of electronic medical record system (EMRS) vendors. To test our hypotheses, we compile a unique dataset spanning 12 years of observations from US hospitals. Utilizing a coarsened exact matching (CEM) technique combined with a difference‐in‐differences (DiD) approach, our study shows that hospitals tend to replace their EMRS vendors after experiencing data breaches. Moreover, breached hospitals tend to prioritize information security in such a vendor replacement process by switching to star vendors and migrating towards a single‐sourcing configuration. Further post‐hoc analyses reveal that these impacts of data breaches are mitigated as the relationship between breached hospitals and vendors matures or when hospitals belong to large healthcare systems. Additionally, we find that the effects of data breaches are contingent on the scale of the breach and are short‐term in nature. This research underscores the significance of information security as a crucial consideration in vendor selection for both academia and practitioners.
Falcone, Ellie C.; Ridge, Jason W.
doi: 10.1002/joom.1302pmid: N/A
Numerous studies on corporate social responsibility (CSR) indicate that firms adopt CSR practices for various reasons related to their supply chain. However, the necessity to conform to a firm's own industry CSR norm is overlooked. Conforming to one's industry CSR norm—a herding behavior known as CSR conformity—ensures firm in‐group legitimacy and preserves internal resources for core business activities. On the other hand, deviating from industry norms sets a firm apart from its peers, making the firm more appealing to supply chain partners. Motivated by this dilemma, this study draws on middle‐status conformity theory and explores how a firm's network prominence determines its CSR conformity. Panel data analyses of 1650 firm‐year observations reveal an inverse U‐shaped relationship between firm network prominence and its CSR conformity, indicating that firms with a mid‐level network prominence engage in higher CSR conformity. However, the inverse U is flattened when a firm's supply chain partners (and their respective industries) share similar CSR standards, suggesting that a firm can only prioritize its own industry CSR norms if its supply chain partners share a compatible CSR standard. These findings highlight the importance of understanding CSR from an organizational conformity perspective, especially in the context of supply chain network.
Lee, Brandon; Fredendall, Lawrence; Roth, Aleda; Sternberg, Shannon; Quiroga, Bernardo F.
doi: 10.1002/joom.1301pmid: N/A
This study empirically examines how induced learning through adopting a set of best practices and learning‐by‐doing improved a hospital's care of ischemic stroke patients using ad hoc teams. While previous studies in healthcare operations management conducted in ad hoc team environments predominantly focused on volume‐based learning (learning by doing, team familiarity via interactions among team members), our study focuses on induced learning in ad hoc teams through best practice adoptions. The analysis uses secondary data (Data period: January 2009–March 2017) about stroke patients from a comprehensive stroke center (CSC) in a U.S. tertiary teaching hospital as it adopted the U.S. American Heart Association/American Stroke Association (AHA/ASA) Target:Stroke best practices. The ad hoc stroke teams provide the initial care and their performance is measured using “Door‐to‐Needle (DTN)” time and its sub‐time segments. The DTN time is measured as the time elapsed between the stroke patient's arrival at the hospital's emergency department (ED) and the appropriate infusion of “Tissue Plasminogen Activator (TPA)” (i.e., a thrombolytic medication informally referred to as a “clot buster”). We found that adopting these best practices improved ischemic stroke care beyond improvement due to repetition. We also found that the neurologist's recent experience providing stroke care for the prior patient is positively associated with meeting the time performance goal for the current patient. This study provides insights into the use of management mechanisms to adopt and sustain best practices in healthcare that are generalizable to other organizations with ad hoc team environments.
Sharma, Luv; Pekgün, Pelin; Öztürk, Orgül D.; Ahire, Sanjay L.
doi: 10.1002/joom.1304pmid: N/A
The use of part‐time employees to support operations has been a contentious topic in the literature. While part‐time employees add cost‐effective flexibility to operations, their impact on operational outcomes has largely been documented as negative. However, there are a number of sectors (e.g., non‐profit) which rely heavily on part‐time employees, with anecdotal evidence supporting their role in improving outcomes. Through this research, we seek to shed light on these contradicting perspectives. We do so by investigating the impact of the percentage of part‐time employees in the workforce dedicated to the Supplemental Nutrition Assistance Program (SNAP) outreach efforts at United States (U.S.) food banks on the effectiveness of this initiative. SNAP is the largest domestic hunger program in the U.S., assisting over 42 million individuals, and food banks play a critical role in outreach and enrollment for SNAP. We utilize data on the operational characteristics and SNAP activities of food banks that are members of the Feeding America network and U.S. Census data on the demographic characteristics of their service area. We find that an increased percentage of part‐time FTEs (full‐time equivalent) in a food bank's workforce dedicated to SNAP outreach efforts increases its effectiveness, particularly in relation to operational and contextual factors that can benefit from a more flexible workforce. Based on these findings and our review of the literature, we propose a conceptual framework on the effectiveness of part‐time employees in different settings.
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