Effect of product and geographic diversification on company performance: Evidence during an economic crisis

Based on a novel sample of Spanish listed companies from nonfinancial sectors, we explore the effect of product and geographic diversification on company performance during an economic downturn. The study develops comprehensive models to understand the interaction effect of both strategies on company performance. We find a U-shaped geographic diversification–performance relationship and no evidence of a positive effect from product diversification, unless combined with high levels of geographic diversification. The results show that companies improved their performance by combining these strategies. The results are robust after controlling for the endogeneity of both types of diversification. Our findings highlight that geographic diversification is an effective and valuable strategy in economic downturns. Furthermore, this study confirms the importance of the interaction between product and geographic diversification to determine the total effect of product or geographic diversification on company performance.     

Structural and contextual approaches to ambidexterity: A meta-analysis of organizational and environmental contingencies

This meta-analysis examines the conditions under which structural and contextual approaches help balance exploration and exploitation. Drawing on heterogeneous samples of prior ambidexterity studies, we apply moderated meta-analytic regression methods to 33,492 organizations sampled in 114 primary studies from 1991 to 2017 to test a contingency model. Our findings suggest that structural separation helps firms of all sizes to balance exploration and exploitation, and that structural separation is more conducive for balancing exploration and exploitation in high technology environments. Also, avoiding a structural separation approach benefits service firms. As research on ambidexterity enters the maturity stage we discuss the implications for future theory development, methodology, and for managers interested in developing ambidextrous organizations.     

A Multicompartment SIS Stochastic Model with Zonal Ventilation for the Spread of Nosocomial Infections: Detection,Outbreak Management,and Infection Control

In this work, we study the environmental and operational factors that influence airborne transmission of nosocomial infections. We link a deterministic zonal ventilation model for the airborne distribution of infectious material in a hospital ward, with a Markovian multicompartment SIS model for the infection of individuals within this ward, in order to conduct a parametric study on ventilation rates and their effect on the epidemic dynamics. Our stochastic model includes arrival and discharge of patients, as well as the detection of the outbreak by screening events or due to symptoms being shown by infective patients. For each ventilation setting, we measure the infectious potential of a nosocomial outbreak in the hospital ward by means of a summary statistic: the number of infections occurred within the hospital ward until end or declaration of the outbreak. We analytically compute the distribution of this summary statistic, and carry out local and global sensitivity analysis in order to identify the particular characteristics of each ventilation regime with the largest impact on the epidemic spread. Our results show that ward ventilation can have a significant impact on the infection spread, especially under slow detection scenarios or in overoccupied wards, and that decreasing the infection risk for the whole hospital ward might increase the risk in specific areas of the health‐care facility. Moreover, the location of the initial infective individual and the protocol in place for outbreak declaration both form an interplay with ventilation of the ward.     

A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests

Humans are continuously exposed to chemicals with suspected or proven endocrine disrupting chemicals (EDCs). Risk management of EDCs presents a major unmet challenge because the available data for adverse health effects are generated by examining one compound at a time, whereas real‐life exposures are to mixtures of chemicals. In this work, we integrate epidemiological and experimental evidence toward a whole mixture strategy for risk assessment. To illustrate, we conduct the following four steps in a case study: (1) identification of single EDCs (“bad actors”)—measured in prenatal blood/urine in the SELMA study—that are associated with a shorter anogenital distance (AGD) in baby boys; (2) definition and construction of a “typical” mixture consisting of the “bad actors” identified in Step 1; (3) experimentally testing this mixture in an in vivo animal model to estimate a dose–response relationship and determine a point of departure (i.e., reference dose [RfD]) associated with an adverse health outcome; and (4) use a statistical measure of “sufficient similarity” to compare the experimental RfD (from Step 3) to the exposure measured in the human population and generate a “similar mixture risk indicator” (SMRI). The objective of this exercise is to generate a proof of concept for the systematic integration of epidemiological and experimental evidence with mixture risk assessment strategies. Using a whole mixture approach, we could find a higher rate of pregnant women under risk (13%) when comparing with the data from more traditional models of additivity (3%), or a compound‐by‐compound strategy (1.6%).     

Re-distributed manufacturing and the food-water-energy nexus: opportunities and challenges

Abstract

Addressing the intersection of two important emerging research areas, re-distributed manufacturing (RDM) and the food-energy-water (FEW) nexus, this work combines insights from engineering, business and policy perspectives and explores opportunities and challenges towards a more localized and sustainable food system. Analysis centred on two specific food products, namely bread and tomato paste reveals that the feasibility and potential of RDM vary with the type of food product and the supply chain (SC) components. Physically, energy efficiency, water consumption and reduction of waste and carbon footprint may be affected by scale and location of production activities and potentials of industrial symbiosis. From the business perspective, novel products, new markets and new business models are expected in order for food RDM to penetrate within the established food industry. Studies on policies, through the lens of public procurement, call for solid evidence of envisioned environmental, social and economic benefits of a more localized food system. An initial integrated framework is proposed for understanding and assessing food RDM and the FEW nexus.     

Knowledge management for sustainability in operations

Abstract

The purpose of this paper is to examine the effect of Knowledge Management (KM) as a platform to enable sustainability in firms’ operations and to provide recommendations for managers to integrate sustainable operations into their business strategies. The urgency to create and implement sustainable operations is also argued. The conceptual framework is based on the hypothesis that KM contributes to the achievement of more suitable operations. To test this hypothesis, a model of structural equations was developed with data collected from 345 SMEs. Empirical evidence supported the hypothesis, indicating that KM represents an important alternative to implementing sustainability. The results suggest that managers need to implent KM, as they will enable a better understanding and awareness regarding the global dangerous impacts from unsustainable operations mainly focused on sales and cost reduction. For this reason, this research provides evidence that KM offers an alternative impulse on the quest for more sustainable operations.     

Productive organizational energy mediates the impact of organizational structure on absorptive capacity

The ability of an organization to cope with radical technological change is regarded to be heavily dependent on its ability to absorb and apply knowledge from its environment. This study investigates the role of organizational structure in driving absorptive capacity and uncovers the role of the emergent phenomenon of organizational energy as the enabler of this relationship. A field study was conducted among firms that are challenged by the disruptive nature of Cloud computing. Our results show that organizational design affects the degree of mobilization of an organization's affective, cognitive and behavioral resources, which in turn influence the effectiveness of learning processes related to the absorption and exchange of knowledge within the organization. Furthermore, they reveal the positive relationship between the enactment of absorptive capacity and the successful adoption of Cloud technology for incumbent firms. The findings contribute to our understanding of the micro-foundations of absorptive capacity and how positive organizational phenomena facilitate effective adoption and implementation of emerging technologies.     

Science-Based Trade Disputes: A New Challenge in Harmonizing the Evidentiary Systems of Law and Science

In November 2001, the University of Michigan hosted one of the first dialogues among international trade law scholars and scientists in the field of risk assessment with the goal of identifying critical areas of misunderstanding between the two fields. This article discusses key issues that need to be addressed in order to better harmonize the scientific and legal systems of evidence within the context of trade disputes and trade law and presents the recommendations that emerged from the Michigan meeting.     

The Dynamics of Employee Dissent: Whistleblowers and Organizational Jiu-Jitsu

Whistleblowing is a form of organizational dissent that is rarely successful, instead usually leading to disaster for the whistleblower. Organizational theorists seldom have addressed the question of how to improve whistleblowers strategies. A useful general perspective for doing this is to conceive of bureaucracies as authoritarian political systems. The concept of political jiu-jitsu, from the theory of nonviolent action, is adapted to organizational contexts and used to assess a range of tactics used by organizational elites against dissidents. The resulting implications for whistleblower strategies are assessed by comparison with standard recommendations offered by experienced whistleblower advisers.     

Allocation rules for cooperative games with restricted communication and a priori unions based on the Myerson value and the average tree solution

We consider cooperatives games (TU-games) enriched by a system of a priori unions and a communication forest graph which are independent from each other. These two structures reflect the limitations of cooperation possibilities. In this framework, we introduce four Owen-type allocation rules, which are defined by a two-step application of an allocation rule à la Owen (in: Henn R, Moeschlin O (eds) Essays in mathematical economics and game theory, Springer, Berlin, 1977) to TU-games with a priori unions where the TU-game is replaced by Myerson’s (Math Oper Res 2:225–229, 1977) graph-restricted TU-game. The four possibilities arise by applying, at each step, either the Myerson value (Myerson 1977) or the average tree solution (Herings et al. in Games Econ Behav 62:77–92, 2008). Our main result offers comparable axiomatizations of these four allocation rules.