Supply chain management for small business--how to avoid being part of the food chain

A supply chain is a series of customer and supplier relationships that extend throughout and beyond the company. It is an interwoven set of links that together form a chain supplying our customers in a seamless and integrated fashion delivering a high level of customer satisfaction. Supply chain management (SCM) integrates all activities so they are focused on customer satisfaction (both internally and externally). One of the things this article will attempt to accomplish is to provide a clear understanding of SCM's positive impact on customer service as well as on improving profitability, cash flow, product cycle times, and communication. Whether we go forward in the supply chain to the final end-user or backward in the supply chain to our supplier's suppliers, SCM will significantly improve our ability to serve our customers.     

Abstract writing

A carefully crafted abstract, which catches the essence of a research paper, may determine the acceptance or rejection of the paper for presentation. Yet, the literature on the preparation of abstracts is minimal. Suggestions for what to include in an abstract, how to prepare it, and sources for additional help in developing the skill of abstract writing are provided in a brief article especially for beginning nurse researchers.     

Weak Property Rights and Holdup in R&D

We study how the sequence of financing of R&D varies according to the ease with which property rights over knowledge can be defined. There are two financiers: a venture capitalist (VC) and a corporation. The knowledge acquired in costly research becomes embodied in the researcher's human capital, and she may hold up the financier and walk away with the project to develop it elsewhere. The main results are: (1) When property rights are strong, research is always funded by the VC, development is performed efficiently, and breakaways from the VC to the corporation are observed in equilibrium. (2) When property rights are weak, projects may be financed by the VC or the corporation, or may remain unfunded. (3) When property rights are weak, no breakaways occur in equilibrium; local spillovers and strong product market competition increase the likelihood that research projects will get funding. (4) The equilibrium sequence of R&D finance need not be first-best efficient. (5) In equilibrium, and controlling for the strength of property rights, VCs finance projects that are more profitable on average.     

Exact inference for progressively Type-I censored exponential failure data

For reasons of time constraint and cost reduction, censoring is commonly employed in practice, especially in reliability engineering. Among various censoring schemes, progressive Type-I right censoring provides not only the practical advantage of known termination time but also greater flexibility to the experimenter in the design stage by allowing for the removal of test units at non-terminal time points. In this article, we consider a progressively Type-I censored life-test under the assumption that the lifetime of each test unit is exponentially distributed. For small to moderate sample sizes, a practical modification is proposed to the censoring scheme in order to guarantee a feasible life-test under progressive Type-I censoring. Under this setup, we obtain the maximum likelihood estimator (MLE) of the unknown mean parameter and derive the exact sampling distribution of the MLE under the condition that its existence is ensured. Using the exact distribution of the MLE as well as its asymptotic distribution and the parametric bootstrap method, we then discuss the construction of confidence intervals for the mean parameter and their performance is assessed through Monte Carlo simulations. Finally, an example is presented in order to illustrate all the methods of inference discussed here.     

Multivariate contemporaneous-threshold autoregressive models

This paper proposes a contemporaneous-threshold multivariate smooth transition autoregressive (C-MSTAR) model in which the regime weights depend on the ex-ante probabilities that latent regime-specific variables exceed certain threshold values. A key feature of the model is that the transition function depends on all the parameters of the model as well as on the data. Since the mixing weights are also a function of the regime-specific noise covariance matrix, the model can account for contemporaneous regime-specific co-movements of the variables. The stability and distributional properties of the proposed model are discussed, as well as issues of estimation, testing and forecasting. The practical usefulness of the C-MSTAR model is illustrated by examining the relationship between US stock prices and interest rates.     

Mismeasured Household Size and Its Implications for the Identification of Economies of Scale: Correction

We correct an error from Halliday (2010) in which we explored the degree to which household size is measured with errors.