Mediating role of mentoring functions on linking personality and occupational commitment in Indian organizations

ABSTRACT

This study investigated the mediating effect of mentoring on the relationship between the Five Factor Model (FFM) Personality traits and occupational commitment (OC). The study used cross-sectional survey-based research design. Data were collected from 362 managers of public and private sector organizations located in North India. The results indicated that psychosocial mentoring acts as a partial mediator for facilitating the linkage between all the FFM traits and OC. Contrary to this, career mentoring was found to partially mediate the link between only conscientiousness-OC, agreeableness-OC and emotional stability-OC. No mediating effect of career mentoring was found for personality factors of openness and extraversion. HRD practitioners are encouraged to implement train-for-trainers’ sessions for raising awareness among senior managers/mentors about the importance of psychosocial mentoring functions. This study is unique, because it is among the few to appropriately capture the mediating role of mentoring functions vis a vis the personality and OC relationship. Further, it also enriches the existing body of research on workplace mentoring and careers, especially in the South-Asian context.     

Power analysis for clustered non-continuous responses in multicenter trials

Power analysis for multi-center randomized control trials is quite difficult to perform for non-continuous responses when site differences are modeled by random effects using the generalized linear mixed-effects model (GLMM). First, it is not possible to construct power functions analytically, because of the extreme complexity of the sampling distribution of parameter estimates. Second, Monte Carlo (MC) simulation, a popular option for estimating power for complex models, does not work within the current context because of a lack of methods and software packages that would provide reliable estimates for fitting such GLMMs. For example, even statistical packages from software giants like SAS do not provide reliable estimates at the time of writing. Another major limitation of MC simulation is the lengthy running time, especially for complex models such as GLMM, especially when estimating power for multiple scenarios of interest. We present a new approach to address such limitations. The proposed approach defines a marginal model to approximate the GLMM and estimates power without relying on MC simulation. The approach is illustrated with both real and simulated data, with the simulation study demonstrating good performance of the method.     

Righting anachronistic exclusions: The ethics of blood donation by men who have sex with men

ABSTRACT

Recently, the FDA announced that it would soon lift the long-standing lifetime ban on blood donation by men who have sex with men (MSM). Reexamining blood donation by MSM, it is clear that there are several ethical goods that must be balanced. Through balancing the primary duty to safety with the imperatives to craft a policy that is formally equal, upholds the public's trust, and is nondiscriminatory, an ethical blood donation deferral guideline may be advanced, both for MSM and the population at large.     

On a characterization of the dispersion matrix based on the properties of regression

This paper provides a partial solution to a problem posed by J. Neyman (1965) regarding the characterization of multivariate negative binomial distribution based on the properties of regression. It is shown that some of the properties of regression characterize the form of the nonsingular dispersion matrix of the parent distribution, which, interestingly enough, corresponds to only two types viz. those of positive and negative multivariate binomial distributions.     

Is There a Trade-off Between Parent Care and Self-care?

Caregiving for family members is often described as a 36-hour day. Previous literature has suggested that family caregivers have little time to attend to their own health needs, such as participating in leisure-time physical activity. Using data from the Health and Retirement Study, we analyze whether time-allocation decisions reflect a conflict between time devoted to informal care and time devoted to self-health promotion through physical activity. The empirical model is a system of four correlated equations, wherein the dependent variables are hours spent caregiving, frequency of moderate and vigorous physical activity, and hours spent in paid work. Results from joint estimation of the four equations indicate limited evidence of a competition between time spent in caregiving and frequency of physical activity. Parental factors that increase allocation of care time to parents do not comprehensively induce reductions in the frequency of any type of physical activity, or in hours of work, among either men or women.     

Locally best invariant and locally minimax test of independence

Let X₁ X₂ … X_N be independent normal p-vectors with common mean vector $$ = ($$) and common nonsingular covariance matrix $$ = Diag ($sG_i) [(1–p) I + pE] Diag ($sG_i), $sG_i> 0, i = 1… p, 1>p>=1/p–1. Write r_ij = sample correlation between the i th and the j th variable i j = 1,… p. It has been proved that for testing the hypothesis H₀ : p = 0 against the alternative H₁ : p>0 where $$ and $sG₁,…, $sG_p are unknown, the test which rejects H₀ for large value of $$ r_ij is locally best invariant for every $aL: 0 > $aL > 1 and locally minimax as p $$ 0 in the sense of Giri and Kiefer, 1964, for every $aL: 0 > $aL $$ $aL₀ > 1 where$aL₀ = P_p=0 $$.     

Non-negative estimation of variance components in heteroscedastic one-way random-effects ANOVA models

There is a considerable amount of literature dealing with inference about the parameters in a heteroscedastic one-way random-effects ANOVA model. In this paper, we primarily address the problem of improved quadratic estimation of the random-effect variance component. It turns out that such estimators with a smaller mean squared error compared with some standard unbiased quadratic estimators exist under quite general conditions. Improved estimators of the error variance components are also established.     

THE END OF THE ART CONNOISSEUR? EXPERTS AND KNOWLEDGE PRODUCTION IN THE VISUAL ARTS IN THE DIGITAL AGE

In this digital age, declarations surface of the death of the expert and the democratization of information. Crowd wisdom is seen as the new guide in constructing and evaluating knowledge. In the context of the art world, this tension between the amateurs and the experts becomes particularly pronounced as popular meets high culture. Questions arise such as: what is the role of the expert in the evaluation of art in contemporary times? Do social media dismantle age-old hierarchies and established priesthoods in the art world? And can we assume that mass participation in valuation results in better judgments? This article addresses such popular notions of participation and expertise concerning social media in the art world through a historical lens by re-examining and positioning art experts from past to present. Particularly, characteristics of intermediaries in the art market are examined closely regarding their strategies in knowledge production and the establishment of expertise. This historical situatedness enables us to move beyond the hype of new media expectations, generating more appropriate avenues of investigation to better grasp possible changes amongst actors within the contemporary art world. This examination is not just theoretically relevant but practically so, given current pressures on art institutions to embrace and reach out to new audiences online.     

The impact of lean practices on operational performance – an empirical investigation of Indian process industries

In deciding to adopt lean manufacturing, it is imperative to investigate where and how lean practices are most needed to influence manufacturing and business performance. Such an investigation becomes indispensable when lean thinking is to be considered in a production arrangement different to the conventional, repetitive, high-volume, stable-demand and discrete-manufacturing environment. This study provides explanations of how performance is improved through the adoption of lean practices in process industries. This is a relatively under-researched area compared to the performance effects associated with the introduction and implementation of lean principles in traditional, discrete manufacturing. Based on a survey of Indian process industries, this study attempts to develop an empirical relationship between lean practices and performance improvement through the use of multivariate statistical analysis. The findings have led to the conclusion that lean practices are positively associated with timely deliveries, productivity, first-pass yield, elimination of waste, reduction in inventory, reduction in costs, reduction in defects and improved demand management. However, within a process-industry context, lean practices related to pull production were found to have a marginal impact on performance improvement. A detailed discussion of the findings along with their theoretical and managerial implications is provided in the paper.