Perspective on succession planning in multiple MNCs: interview with Aparna Sharma

?Organizations are often confronted with the challenges of developing a continuous flow of functional leaders who can operate effectively in different cultural contexts. To maintain a sustainable leadership structure across different functional units, organizations need to put in place an efficient succession plan to meet any unexpected leadership void. The existing scholar practitioner literature offers limited information regarding evidence-based practices adopted by organizations for creating an effective succession planning strategy. The interview presented here is an attempt to highlight different approaches and strategies of effective succession management for ensuring leadership continuity and harnessing talent from within the organizations.     

Exploitation Strategy and Performance of Contract Manufacturing Exporters: The Mediating Roles of Exploration Strategy and Marketing Capability

Contract manufacturing exporters (CMEs) receive a meagre share of global value chain returns, primarily because of the mundane and exploitative nature of the activities they perform in their dependency relationships with lead firms. We posit that CMEs can enhance their performance by capitalizing on their exploitation strategy. Exploitation strategy triggers exploration strategy which requires building marketing capabilities for enhanced performance. Based on data from 154 Vietnamese CMEs, we find significant indirect only mediation effects of: 1) exploration strategy between exploitation strategy and export performance; and 2) marketing capability between exploration strategy and export performance. Further, we find significant indirect only serial mediation of exploration strategy and marketing capability between exploitation strategy and export performance. The findings are also supported and contextualized based on illustrative quotes from face to face semi-structured interviews with senior managers of 10 Vietnamese CMEs. The findings suggest that CMEs' that consciously capitalize on the exploitation strategy by seeking exploration opportunities while building their marketing capability exhibit enhanced performance.     

DOES THE VAT TAX EXPORTS?

While a VAT should in principle be neutral with respect to international trade, it may in practice function as a tax on exporters' input purchases if firms receive incomplete VAT refunds. Using data for over 100 countries that span the majority of historical VAT adoption episodes, this paper finds that—consistent with this hypothesis—the VAT reduces the exports of an industry with a 10 percentage point higher intermediate goods share of output by over 8% relative to an industry with a lower share. This effect is driven by developing countries and is absent for high-income countries. (JEL F13, F14, H25, H87, O11)     

A hierarchical Bayes analysis for one-shot device testing experiment under the assumption of exponentiality

The article considers a two-stage hierarchical Bayes technique to analyze a dataset coming from a “one-shot” device testing experiment. The development is based on the assumption of exponential model for the lifetimes with failure rate regressed according to the Cox proportional hazards model. The Bayes implementation is done through a Gibbs–Metropolis hybridization scheme that easily entertains the missing data cases as well. Lastly, numerical illustration is provided based on a real data example on electro-explosive devices. The results show that the Bayesian method performs considerably well for such type of experiments.     

Estimation of P(Y < X) for progressively first-failure-censored generalized inverted exponential distribution

In this article, we consider the problem of estimation of the stress–strength parameter δ?=?P(Y?<?X) based on progressively first-failure-censored samples, when X and Y both follow two-parameter generalized inverted exponential distribution with different and unknown shape and scale parameters. The maximum likelihood estimator of δ and its asymptotic confidence interval based on observed Fisher information are constructed. Two parametric bootstrap boot-p and boot-t confidence intervals are proposed. We also apply Markov Chain Monte Carlo techniques to carry out Bayes estimation procedures. Bayes estimate under squared error loss function and the HPD credible interval of δ are obtained using informative and non-informative priors. A Monte Carlo simulation study is carried out for comparing the proposed methods of estimation. Finally, the methods developed are illustrated with a couple of real data examples.     

Sufficient admissibility conditions for scale parameter estimator

Although there are a number of results available for the admissibility of the best translation equivariant estimator of the parameter, there is hardly any stated explicitly for the best scale equivariant estimator of the scale parameter. In this paper, we derive sufficient conditions for the admissibility of the scale parameter estimators and compara them. The derivations use the well known results due to Brown [1], Farrell [2], and Portnoy [3]. The loss function has been taken to be quadratic.     

Socio-Environmental and Behavioral Correlates of Having Ever Had Sexual Intercourse Among Adolescents in Peru: A School-Based Cross-Sectional Study

Objective: We assessed the socio-environmental and behavioral correlates of having ever had sexual intercourse among Peruvian adolescents aged 12–18 years in Lima. Methods: A cross-sectional study was conducted in 2014. Result: Of 950 participants, 26.5% of males and 13.0% of females had ever had sexual intercourse. Early adolescents who ever had sexual intercourse had higher odds of being insulted, being involved in a fight, and smoking; whereas late adolescents having sexual experiences were more likely to be male and to report smoking, alcohol consumption, involvment in a fight, and having no/low parental understanding. Conclusion: An integrated approach is useful in addressing risk behaviors in adolescents.     

Some efficient classes of estimators of population mean in two-phase successive sampling under random non response

In this paper, an attempt has been made to present some efficient classes of estimators of population mean on current occasion in two-occasion successive sampling under random non response in two-phase setup. Effectiveness of the proposed classes of estimators has been studied under the assumptions that sampling units follow a distribution under the random non response. To check the performances, the proposed classes of estimators are compared with an estimator under the similar situation under the complete response. Results are demonstrated through empirical studies which show the reliable nature of the proposed classes of estimators. Suitable recommendations have been made to the survey practitioners.