Statistics for Quality and Productivity: A New Graduate-Level Statistics Course

The growing popular realization that American product quality and productivity are no longer without challenge for world leadership presents an opportunity for the American statistical community to make stronger contributions to sound industrial practice than it has in the past. Management consultants, such as Deming and Juran, are promoting philosophies that contain strong statistical components and are being heard by top U.S. executives. There are thus growing opportunities for industrial statisticians. Upon reviewing the content of typical graduate-level statistical quality control courses and books in the light of the present situation, we find them to be inadequate and in some cases to suffer from inappropriate emphases. In this article we discuss our perceptions of what is needed in the way of a new graduate-level course in statistics for quality and productivity (SQP). We further offer for discussion a syllabus for such a course (which is a modification of one used at Iowa State in the 1983 spring semester), some comments on how specific topics might be approached, and also a partially annotated list of references for material that we believe belongs in a modern SQP course.     

Resolving the Mixed Models Controversy

Two standard mixed models with interactions are discussed. When each is viewed in the context of superpopulation models, the mixed models controversy is resolved. The tests suggested by the expected mean squares under the constrained-parameters model are correct for testing the main effects and interactions under both the unconstrained-and constrained-parameters models.     

Performance of the One-Sample Goodness-of-Fit P–P-Plot Length Test

This article studies the performance of the one-sample goodness-of-fit test which is based on the length of the P–P-plot initially introduced in a similar context by Reschenhofer and Bomze (1991 Reschenhofer , E. , Bomze , I. M. ( 1991 ). Length tests for goodness-of-fit . Biometrika 78 : 207 – 216 . [Google Scholar]). The distributional properties of the length test are revised empirically via simulations. In the Monte Carlo power study that follows the length test is shown empirically to have high power under various alternatives considered relative to members of the Cramér–von Mises family of goodness-of-fit tests, and the Kolmogorov–Smirnov test.     

From primacy to purpose commitment: How emerging profit-with-purpose corporations open new corporate governance avenues

This paper aims at contributing to corporate governance theory by developing a model of governance that takes into account a recent legal innovation: the introduction of purpose-driven legal business forms in the corporate law of several countries. Current debates in such theory oppose models that grant “primacy” (i.e., ultimate control rights) to different constituencies. The resulting uncertainty proves problematic in the face of new, urgent social and environmental stakes that are difficult to represent in traditional governance bodies. Newly adopted profit-with-purpose corporate forms' introduction of a “purpose” in corporate contracts renews these debates. We show that through the “purpose commitment” model it enables, the distribution of control rights in the governance system is decoupled from the objectives assigned to the corporation. This new approach renews the formal role of management, and corporations’ accountability to society. We explore the theoretical, practical, and political consequences of this new model.     

Understanding platform business models: A mixed methods study of marketplaces

Recent technological advances have enabled the emergence of novel business models based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to connect previously unmatched demand-side and supply-side participants through innovative forms of value creation, delivery and capture. While countless firms claim to offer the next ‘Airbnb for X’ or ‘Uber for Y’, we lack knowledge about the defining business model characteristics of these marketplaces. To close the gap, this paper provides a conceptually and empirically grounded taxonomy of their business models. Applying a mixed methods approach, it first develops an integrative framework of marketplace business models. Guided by the framework, the research systematically analyzes 100 randomly selected marketplaces with content analysis and binary coding. The gathered data is analyzed with cluster analysis techniques to develop a taxonomy for marketplace business models. The clustering process reveals six clearly distinguishable types of marketplace business models and thus shows that there is no one-size-fits-all approach to creating, delivering, and capturing value with marketplaces and platforms in general. We characterize these distinctive types on basis of the qualitative and quantitative findings. Among others, we find that two of these types are highly aligned with business model characteristics associated with the so-called sharing economy. The findings are discussed against platform, marketplace, and sharing economy literature to contribute to a higher integration of different literature streams that are concerned with similar organizational types and phenomena.     

Probabilistic frontier regression models for binary type output data

This paper proposes a probabilistic frontier regression model for binary type output data in a production process setup. We consider one of the two categories of outputs as ‘selected’ category and the reduction in probability of falling in this category is attributed to the reduction in technical efficiency (TE) of the decision-making unit. An efficiency measure is proposed to determine the deviations of individual units from the probabilistic frontier. Simulation results show that the average estimated TE component is close to its true value. An application of the proposed method to the data related to the Indian public sector banking system is provided where the output variable is the indicator of level of non-performing assets. Individual TE is obtained for each of the banks under consideration. Among the public sector banks, Andhra bank is found to be the most efficient, whereas the United Bank of India is the least.     

Developments in gender and U.S. politics: A call for intersectionality

Since “women and politics” scholarship emerged in the 1970s, social, institutional, and theoretical developments have shaped the trajectory of U.S. scholarship in this field. First, the presence of women in formal politics has increased, albeit unevenly across parties and minority groups over time. Simultaneously, the capacity to study “political women” has become supported through institutional mechanisms such as academic journals and communities of practice. Moreover, gender as a critical focus of analysis has been developed and refined. In the literature on women and politics, the shift from studying sex differences to interrogating gendered political institutions is especially salient. This institutional focus, along with recent intersectional studies of gender and politics, increases opportunities for cross‐pollination of sociological and political science perspectives. In this review, I provide a brief history of the U.S. scholarship on gender and politics and map these relevant social, institutional, and theoretical advances. I highlight the value of recent intersectional contributions in this field and make the case for bringing partisanship—an increasingly salient political identity and structure—into intersectional approaches to gender and politics.