Discovering and Managing Interdependence with Customer‐Entrepreneurs

Research on inter‐organizational relationships has largely focused on the interdependence between formal organizations. In recent years, firms have encountered a new logic in which interdependent parties are not formal organizations but platform‐based ‘customer‐entrepreneurs’ that create value through illegal means. Drawing on a 5‐year‐long qualitative study, we examine how firms recognize and instantiate this new logic and, consequently, respond to their interdependencies with customer‐entrepreneurs. Viewed through the lens of institutional logic, we find that, with the benefit of hindsight, firms recognize the existence of the logic of customer entrepreneurship, which triggers organizational sensemaking that is made up of three elements: interpretation of legitimacy compatibility; interpretation of efficiency compatibility; and integration of stakeholder perspectives. This sensemaking results in either a determined account concluding on the compatibility calculus in a top‐down manner, or an open‐ended account avoiding the construction of a resolute, synthesized view. A determined account leads to a defiance strategy, by which firms attempt to remove the source of interdependencies with customer‐entrepreneurs, whereas an open‐ended account guides firms to espouse a decoupling strategy, whereby firms covertly resort to efficiency maximization enabled by the interdependence. Our results offer implications for the research on inter‐organizational relationships and institutional logic.     

Reporting Errors in Siblings’ Survival Histories and Their Impact on Adult Mortality Estimates: Results From a Record Linkage Study in Senegal

Estimates of adult mortality in countries with limited vital registration (e.g., sub-Saharan Africa) are often derived from information about the survival of a respondent’s siblings. We evaluated the completeness and accuracy of such data through a record linkage study conducted in Bandafassi, located in southeastern Senegal. We linked at the individual level retrospective siblings’ survival histories (SSH) reported by female respondents (n = 268) to prospective mortality data and genealogies collected through a health and demographic surveillance system (HDSS). Respondents often reported inaccurate lists of siblings. Additions to these lists were uncommon, but omissions were frequent: respondents omitted 3.8 % of their live sisters, 9.1 % of their deceased sisters, and 16.6 % of their sisters who had migrated out of the DSS area. Respondents underestimated the age at death of the siblings they reported during the interview, particularly among siblings who had died at older ages (≥45 years). Restricting SSH data to person-years and events having occurred during a recent reference period reduced list errors but not age and date errors. Overall, SSH data led to a 20 % underestimate of ₄₅ q ₁₅ relative to HDSS data. Our study suggests new quality improvement strategies for SSH data and demonstrates the potential use of HDSS data for the validation of “unconventional” demographic techniques.     

Causes of Neonatal Deaths among Tribal Women in Gujarat,India

Mortality among neonates has long been largely neglected by research in all developing nations of world including India. This study aims to identify the primary and secondary causes of neonatal deaths among the tribes of Gujarat by retrospectively analyzing 106 neonatal deaths that occurred during the year 2008 and 2009. The socio-economic, biological and traditional newborn care practices impacting newborn survival were also studied. Case studies including in-depth interviews of 33 women who had experienced neonatal deaths in period of 2008 and 2009 have also been conducted. The results show that the main causes of neonatal deaths in the study area were birth asphyxia, prematurity, aspiration, infection and congenital anomalies, irrespective of place of delivery. Absence of trained and skilled personnel for newborn resuscitation was the main cause of perinatal birth asphyxia related deaths. Around 36% mothers had a history of infant deaths. Low birth weight is one of the important causes of neonatal deaths among mothers who had a history of child loss. Cyclicality of neonatal deaths continued among clustered families with social factors initiating the cycle. Qualified trained birth attendants practicing essential newborn care are necessary during home deliveries.     

Compact labelings for efficient first-order model-checking

We consider graph properties that can be checked from labels, i.e., bit sequences, of logarithmic length attached to vertices. We prove that there exists such a labeling for checking a first-order formula with free set variables in the graphs of every class that is nicely locally clique-width-decomposable. This notion generalizes that of a nicely locally tree-decomposable class. The graphs of such classes can be covered by graphs of bounded clique-width with limited overlaps. We also consider such labelings for bounded first-order formulas on graph classes of bounded expansion. Some of these results are extended to counting queries.     

Smokeless tobacco use among adult males in India and selected states: Assessment of education and occupation linkages

Abstract

This article is an effort to analyze the influence of education and occupation as critical determinants of smokeless tobacco use among adult males in India and its selected states. Global Adult Tobacco Survey (GATS) India 2009–10 data are used to analyze the prevalence of smokeless tobacco use among adult males aged 15 years and above (N = 33,767) by their different education and occupational status. Bivariate and multivariate (Cox proportional survival model) analyses are carried out to assess the linkages of education and occupation with use of smokeless tobacco among adult males. The study suggests that the majority of Indian men are using khaini (18%) and gutkha (13%) (the local terms used for smokeless tobacco). Further, it is observed that education and occupation remain the two important critical predictors of smokeless tobacco use among men. A greater percentage of young men with no education from rural areas use smokeless tobacco (44.3%) than their counterpart group from urban areas. The socioeconomically disadvantaged states, noticeably the east and central (4.992 and 3.218; p < .001) states, record higher prevalence of smokeless tobacco use than other states. Considering the high prevalence of smokeless tobacco use among illiterate and socioeconomically deprived youths, there is an urgent need to sensitize the issue. More concrete efforts to generate awareness on the ill effects of tobacco use among the illiterate and those who are employed in low-profile occupations are needed.     

Beware the angry leader: Trait anger and trait anxiety as predictors of petty tyranny

Drawing on the general aggression model and theories of victimization and temperamental goodness-of-fit, we investigated trait anger and trait anxiety as antecedents of petty tyranny: employing a multilevel design with data from 84 sea captains and 177 crew members. Leader trait anger predicted subordinate-reported petty tyranny. Subordinate trait anxiety was associated with subordinate-reported petty tyranny. The association between leader trait anger and subordinate-reported petty tyranny was strongest among low trait anger subordinates supporting the theory of temperamental goodness-of-fit—or rather misfit—in dyads. Hence, leader anger-generated petty tyranny seems to constitute itself both as an average leadership style and as behavior targeting specific subordinates, in this case low trait anger subordinates. In addition, anxious subordinates report more exposure to such abusive leadership behaviors irrespective of levels of trait anger in the captain. The practical implications are above all the needs for organizational and individual management of leader trait anger.     

Two-step calibration of design weights under two auxiliary variables in sample survey

Calibration on the available auxiliary variables is widely used to increase the precision of the estimates of parameters. Singh and Sedory [Two-step calibration of design weights in survey sampling. Commun Stat Theory Methods. 2016;45(12):3510–3523.] considered the problem of calibration of design weights under two-step for single auxiliary variable. For a given sample, design weights and calibrated weights are set proportional to each other, in the first step. While, in the second step, the value of proportionality constant is determined on the basis of objectives of individual investigator/user for, for example, to get minimum mean squared error or reduction of bias. In this paper, we have suggested to use two auxiliary variables for two-step calibration of the design weights and compared the results with single auxiliary variable for different sample sizes based on simulated and real-life data set. The simulated and real-life application results show that two-auxiliary variables based two-step calibration estimator outperforms the estimator under single auxiliary variable in terms of minimum mean squared error.     

Simultaneous estimation of λs for poisson distributions

Consider the problem of simultaneously estimating an integral power of the parameters of POISSOK populations using independent samples. Let the loss be the sum of quadratic losses for the components. An estimator which is better than the unbiased esti¬mator is obtained     

Open review of science publications

Publication of scientific research in print is traditionally peer reviewed anonymously prior to publication, which is a time-tested process but has serious limitations. The advent of the Internet permits postpublication open review online after minimal review by the editors or the author-selected reviewers, which can be quick, that permits the authors to revise the content. Most meritorious articles published online may be selected for publication in print as annual or biennial collections.     

A new class of estimators of finite population mean in sample surveys

This article suggests the class of estimators of population mean of study variable using various parameters related to an auxiliary variable with its properties in simple random sampling. It has been identified that the some existing estimator/classes of estimators are members of suggested class. It has been found theoretically as well as empirically that the suggested class is better than the existing methods.