Be Careful What You Ask For: How Highly Inclusive Leaders Diminish Upward Communication Quality

As organizations have come to realize the value of having employees offer ideas, suggestions, and observations that can improve organizational effectiveness, scholars have sought to better understand how leaders can cultivate higher levels of upward communication within their organizations. To date, research has shown that leaders who signal inclusiveness and openness to their followers' ideas and concerns are able to create a psychologically safe environment that encourages individuals to take the risk of communicating upwards. However, an implicit and untested assumption across this literature is that inclusive leadership also has a similar positive effect on the quality of communication subordinates provide. In this dissertation, I challenge conventional wisdom that more is better by suggesting that highly inclusive leaders may elicit a higher quantity of upward communication from their followers, but potentially a lower quality. Drawing from established literatures on motivation, social exchange and self-censorship, I propose and find evidence for an inverted U-shaped relationship between inclusive leadership and individuals' upward communication quality, such that both highly exclusive and highly inclusive leaders negatively influence the quality of comments individuals provide. In doing so, I advance established theory by providing conceptual and empirical guidance on how managers should be mindful of the benefits of inclusive leadership while recognizing its potential costs.Doctor of Philosoph

Anthropological and socioeconomic factors contributing to global antimicrobial resistance: a univariate and multivariable analysis

Background Understanding of the factors driving global antimicrobial resistance is limited. We analysed antimicrobial resistance and antibiotic consumption worldwide versus many potential contributing factors. Methods Using three sources of data (ResistanceMap, the WHO 2014 report on antimicrobial resistance, and contemporary publications), we created two global indices of antimicrobial resistance for 103 countries using data from 2008 to 2014: Escherichia coli resistance—the global average prevalence of E coli bacteria that were resistant to third-generation cephalosporins and fluoroquinolones, and aggregate resistance—the combined average prevalence of E coli and Klebsiella spp resistant to third-generation cephalosporins, fluoroquinolones, and carbapenems, and meticillin-resistant Staphylococcus aureus. Antibiotic consumption data were obtained from the IQVIA MIDAS database. The World Bank DataBank was used to obtain data for governance, education, gross domestic product (GDP) per capita, health-care spending, and community infrastructure (eg, sanitation). A corruption index was derived using data from Transparency International. We examined associations between antimicrobial resistance and potential contributing factors using simple correlation for a univariate analysis and a logistic regression model for a multivariable analysis. Findings In the univariate analysis, GDP per capita, education, infrastructure, public health-care spending, and antibiotic consumption were all inversely correlated with the two antimicrobial resistance indices, whereas higher temperatures, poorer governance, and the ratio of private to public health expenditure were positively correlated. In the multivariable regression analysis (confined to the 73 countries for which antibiotic consumption data were available) considering the effect of changes in indices on E coli resistance (R2 0·54) and aggregate resistance (R2 0·75), better infrastructure (p=0·014 and p=0·0052) and better governance (p=0·025 and p<0·0001) were associated with lower antimicrobial resistance indices. Antibiotic consumption was not significantly associated with either antimicrobial resistance index in the multivariable analysis (p=0·64 and p=0·070). Interpretation Reduction of antibiotic consumption will not be sufficient to control antimicrobial resistance because contagion—the spread of resistant strains and resistance genes—seems to be the dominant contributing factor. Improving sanitation, increasing access to clean water, and ensuring good governance, as well as increasing public health-care expenditure and better regulating the private health sector are all necessary to reduce global antimicrobial resistance

Enhancing Employees’ Duty Orientation and Moral Potency: Dual Mechanisms Linking Ethical Psychological Climate to Ethically‐Focused Proactive Behaviors

Based on social cognitive theory (SCT), we develop and test a model that links ethical psychological climate to ethically‐focused proactive behavior (i.e., ethical voice and ethical taking charge) via two distinct mechanisms (i.e., duty orientation and moral potency). Results from multi‐wave field studies conducted in the United States, Turkey, France, Vietnam, and India demonstrate that an ethical psychological climate indirectly influences employees’ ethical voice and ethical taking charge behaviors through the dual mechanisms of duty orientation and moral potency. Additionally, we find that individuals’ moral attentiveness strengthened these mediating processes. Together, these findings suggest that ethical psychological climate is an important antecedent of ethically‐focused proactive behavior by stimulating individuals’ sense of duty and enhancing their moral potency, particularly when employees are already highly attuned to moral issues

Anthropological and socioeconomic factors contributing to global antimicrobial resistance: a univariate and multivariable analysis

Background Understanding of the factors driving global antimicrobial resistance is limited. We analysed antimicrobial resistance and antibiotic consumption worldwide versus many potential contributing factors. Methods Using three sources of data (ResistanceMap, the WHO 2014 report on antimicrobial resistance, and contemporary publications), we created two global indices of antimicrobial resistance for 103 countries using data from 2008 to 2014: Escherichia coli resistance—the global average prevalence of E coli bacteria that were resistant to third-generation cephalosporins and fluoroquinolones, and aggregate resistance—the combined average prevalence of E coli and Klebsiella spp resistant to third-generation cephalosporins, fluoroquinolones, and carbapenems, and meticillin-resistant Staphylococcus aureus. Antibiotic consumption data were obtained from the IQVIA MIDAS database. The World Bank DataBank was used to obtain data for governance, education, gross domestic product (GDP) per capita, health-care spending, and community infrastructure (eg, sanitation). A corruption index was derived using data from Transparency International. We examined associations between antimicrobial resistance and potential contributing factors using simple correlation for a univariate analysis and a logistic regression model for a multivariable analysis. Findings In the univariate analysis, GDP per capita, education, infrastructure, public health-care spending, and antibiotic consumption were all inversely correlated with the two antimicrobial resistance indices, whereas higher temperatures, poorer governance, and the ratio of private to public health expenditure were positively correlated. In the multivariable regression analysis (confined to the 73 countries for which antibiotic consumption data were available) considering the effect of changes in indices on E coli resistance (R2 0·54) and aggregate resistance (R2 0·75), better infrastructure (p=0·014 and p=0·0052) and better governance (p=0·025 and p<0·0001) were associated with lower antimicrobial resistance indices. Antibiotic consumption was not significantly associated with either antimicrobial resistance index in the multivariable analysis (p=0·64 and p=0·070). Interpretation Reduction of antibiotic consumption will not be sufficient to control antimicrobial resistance because contagion—the spread of resistant strains and resistance genes—seems to be the dominant contributing factor. Improving sanitation, increasing access to clean water, and ensuring good governance, as well as increasing public health-care expenditure and better regulating the private health sector are all necessary to reduce global antimicrobial resistance. Funding None

MOLECULAR PREVALENCE OF PORCINE CIRCOVIRUS 2 INFECTION: FOREMOST REPORT IN SOUTHERN STATES OF INDIA

Porcine circovirus 2 (PCV2) is the emerging viral pathogen in the swine associated with multi-systemic clinical and subclinical outcomes. This study aimed to detect the molecular and serological prevalence of PCV2 infection in the southern states of India. A total of 434 random samples comprising serum (n=273), pooled postmortem tissues (n=109) and rectal, vaginal, and nasal swabs (n=52) and were collected from PCV2 suspected and healthy swine populations of Tamil Nadu, Kerala, Andhra Pradesh, Telangana, and Puducherry states in India from 2019 to 2021 were screened for PCV2 by specific polymerase chain reaction (PCR) assay. Of 434 samples screened, 12.2% (n=53) showed positivity to PCV2 genome. Statistical analysis of the molecular prevalence of PCV2 within breed, age, sex, and vaccination status revealed no significant (p>0.05) difference but there was a significant (p<0.05) difference in the prevalence of PCV2 among healthy and suspected swine populations. Suspected pigs had a significantly higher prevalence of PCV2 in comparison to healthy. ELISA-based PCV2 antibody screening in 176 non-vaccinated serum samples revealed a seropositivity of 44.8% (n=79). The molecular and seroprevalence of PCV2 is alarming in southern states of India, which necessitates the need for genotypic characterization and phylogenetic analysis and development of candidate vaccine for implementation of suitable prevention and control measures

Optics and Quantum Electronics

Contains table of contents for Section 2 and reports on twenty research projects.Charles S. Draper Laboratory Contract DL-H-404179Joint Services Electronics Program Contract DAALO3-89-C-0001National Sciences Foundation Grant EET 87-00474National Science Foundation Grant EET 88-15834U.S. Air Force - Office of Scientific Research Contract F49620-88-C-0089National Science Foundation Grant ECS 85-52701International Business Machines CorporationMassachusetts General Hospital Contract N00014-86K-0117National Institutes of Health Grant 2-RO1-GM35459U.S. Department of Energy Grant DE-FG02-89-ER14012Lawrence Livermore National Laboratory Subcontract B04870

Optics and Quantum Electronics

Contains table of contents for Section 2 and reports on eighteen research projects.National Science Foundation (Grant EET 87-00474)Joint Services Electronics Program (Contract DAAL03-86-K-0002)Joint Services Electronics Program (Contract DAALO3-89-C-0001)Charles Stark Draper Laboratory (Grant DL-H-285408)Charles Stark Draper Laboratory (Grant DL-H-2854018)National Science Foundation (Grant EET 87-03404)National Science Foundation (Grant ECS 84-06290)U.S. Air Force - Office of Scientific Research (Contract F49620-88-C-0089)AT&T Bell FoundationNational Science Foundation (Grant ECS 85-52701)National Institutes of Health (Grant 5-RO1-GM35459)Massachusetts General Hospital (Office of Naval Research Contract N00014-86-K-0117)Lawrence Livermore National Laboratory (Subcontract B048704

Optics and Quantum Electronics

Contains reports on eleven research projects.National Science Foundation (Grant EET 87-00474)Joint Services Electronics Program (Contract DAALO03-86-K-O002)Charles Stark Draper Laboratory, Inc. (Grant DL-H-2854018)National Science Foundation (Grant DMR 84-18718)National Science Foundation (Grant EET 87-03404)National Science Foundation (ECS 85-52701)US Air Force - Office of Scientific Research (Contract AFOSR-85-0213)National Institutes of Health (Contract 5-RO1-GM35459)US Navy - Office of Naval Research (Contract N00014-86-K-0117

Optics and Quantum Electronics

Contains table of contents for Section 3, reports on twenty-one research projects and a list of publications and meeting papers.Joint Services Electronics Program Contract DAAL03-92-C-0001U.S. Air Force - Office of Scientific Research Contract F49620-91-C-0091Charles S. Draper Laboratories Contract DL-H-441692MIT Lincoln LaboratoryNational Science Foundation Grant ECS 90-12787Fujitsu LaboratoriesU.S. Navy - Office of Naval Research Grant N00014-92-J-1302National Center for Integrated Photonic TechnologyNational Science Foundation Grant ECS 85-52701U.S. Navy - Office of Naval Research (MFEL) Grant N00014-91-C-0084U.S. Navy - Office of Naval Research (MFEL) Grant N00014-91-J-1956National Institutes of Health Grant R01-GM35459-08U.S. Air Force - Office of Scientific Research Grant F49620-93-1-0301MIT Lincoln Laboratory Contract BX-5098Electric Power Research Institute Contract RP3170-2

Optics and Quantum Electronics

Contains table of contents for Section 3 and reports on twenty-one research projects.Joint Services Electronics Program Contract DAAL03-89-C-0001Joint Services Electronics Program Contract DAAL03-92-C-0001U.S. Air Force - Office of Scientific Research Contract F49620-91-C-0091Charles S. Draper Laboratories Contract DL-H-441629MIT Lincoln LaboratoryCharles S. Draper Laboratories, Inc. Contract DL-H-418478Fujitsu LaboratoriesNational Science Foundation Grant ECS 90-12787National Center for Integrated PhotonicsNational Science Foundation Grant EET 88-15834National Science Foundation Grant ECS 85-52701U.S. Air Force - Office of Scientific Research Contract F49620-88-C-0089U.S. Navy - Office of Naval Research Contract N00014-91-C-0084U.S. Navy - Office of Naval Research Grant N00014-91-J-1956Johnson and Johnson Research GrantNational Institutes of Health Contract 2-R01-GM35459U.S. Department of Energy Grant DE-FG02-89 ER14012-A00