The Impact of Chain Organization Size on Efficiency and Quality of Affiliated Facilities—Implications for Multi‐Unit Organizational Forms

Abstract

This study investigates how the affiliation of dialysis facilities within chain organizations of varying sizes impacts efficiency and quality outcomes of these facilities. We develop our hypotheses by building on the literature base that relates to organizational learning. The paper uses a panel dataset spanning the years 2008–2013. The efficiency of the dialysis facilities is operationalized by means of a data envelopment analysis model. This model considers the number of treatments in the dialysis facility as the output variable. The model uses four inputs—number of dialysis stations, number of full‐time equivalents of physicians, number of full‐time equivalents of clinical staff, and the number of employee hours per week at a dialysis facility. Quality is operationalized by considering facilities’ performance scores on three measures developed by the Center for Medicaid and Medicare Services. The findings point to distinct effects of chain organization size on quality and efficiency performance of dialysis facilities. Specifically, the results obtained by analyzing a dynamic panel data model show that chain organization size has an inverse U‐shaped curvilinear effect on quality outcomes and a U‐shaped curvilinear effect on efficiency. The findings suggest that dialysis facilities affiliated with chain organizations of varying sizes experience learning effects and causal ambiguities depending on the specific performance measure under consideration. We discuss the implications of our findings for theory and practice and present directions for future research.

Potential value of air: Effect of air pollution on retail store performance and customer behavior

“…First, to further test for the presence of U‐shape, we conduct the Sasabuchi (1980) U‐test and the Fieller (1954) interval estimation test. We refer to Dreyfus et al (2020) and Lind and Mehlum (2010) for the implementation of these tests, which will be explained in detail in Section 6. Second, we adopt the categorical measure of PM 2.5 index in a flexible model without functional‐form assumptions about air pollution effect.…”

Making Theoretically Informed Choices in Specifying Panel‐Data Models

“…In the context of operations management research, within and between effects are relevant in the management of multi‐unit or multi‐site operations in particular (e.g., Dreyfus et al. 2020, Metters et al. 1999).…”

Revenue sharing bids of a loss-averse supplier for a new product development contract: a multi-method investigation

“…This is analogous to data envelope analysis (DEA) that often derive variables like efficiency using mathematical models and then test hypotheses using these variables (e.g. Dreyfus et al, 2020b;Dutta et al, 2021;Kim and Swink, 2021;Soheilirad et al, 2018). Combining multiple methodologies allows us to visit a problem from multiple angles.…”

“…This is analogous to data envelope analysis (DEA) that often derive variables like efficiency using mathematical models and then test hypotheses using these variables (e.g. Dreyfus et al. , 2020b; Dutta et al.…”