Funding natural monopoly infrastructure expansion: auctions versus regulated uniform access prices

Journal of Regulatory Economics - This paper characterizes equilibrium behavior in an auction where firms bid a unit price in order to fund and gain access to a new piece of infrastructure. Firms...     

Social capital,knowledge sharing,and innovation capability: an empirical study of R&D teams in Iran

Effectively encouraging employees to share valuable knowledge can increase and sustain a firm's competitive advantages. This study adopted an integrated approach to understand casual relationships among knowledge sharing (KS) enablers (social capital factors), mechanism of forming KS behaviours (knowledge collecting and knowledge donating) through individuals’ KS intention, and KS outcome (innovation capability) within research and development teams. The research model was developed by reviewing literature and tested with survey data collected from 230 employees in multiple companies in Iran. Results of partial least squares analysis indicated that social interaction ties (as a structural capital factor), trust, reciprocity, and team identification (as relational capital factors) significantly associated with KS intention. KS intention, in turn, was significantly related to KS behaviours (knowledge colleting and knowledge donating). In addition, findings revealed that members’ willingness to collect and donate knowledge can affect team innovation capability. This study also discusses the implications for fostering social capital and KS behaviours to enhance team innovation capability.     

Value-added care: a paradigm shift in patient care delivery

Spiraling costs in health care have placed hospitals in a constant state of transition. As a result, nursing practice is now influenced by numerous factors and has remained in a continuous state of flux. Multiple changes within the last 2 decades in nurse/patient ratio and blend of front-line nurses are examples of this transition. To reframe the nursing practice into an economic equation that captures the cost, quality, and service, a paradigm shift in thinking is needed in order to assess work redesign. Nursing productivity must be evaluated in terms of value-added care, a vision that goes beyond direct care activities and includes team collaboration, physician rounding, increased RN-to-aide communication, and patient centeredness; all of which are crucial to the nurse's role and the patient's well-being. The science of appropriating staffing depends on assessment and implementation of systematic changes best illustrated through a "systems theory" framework. A throughput transformation is required to create process changes with input elements (number of front-line nurses) in order to increase time spent in value-added care and to decrease waste activities with an improvement in efficiency, quality, and service. The purpose of this pilot study was two-fold: (a) to gain an understanding of how much time RNs spent in value-added care, and (b) whether increasing the combined level of RNs and unlicensed assistive personnel increased the amount of time spent in value-added care compared to time spent in necessary tasks and waste.     

Negotiating Complex Contracts

Work to date on computational models of negotiation has focused almost exclusively on defining contracts consisting of one or a few independent issues and tractable contract spaces. Many real-world contracts, by contrast, are much more complex, consisting of multiple inter-dependent issues and intractably large contract spaces. This paper describes a simulated annealing based approach appropriate for negotiating such complex contracts that achieves near-optimal social welfares for negotiations with binary issue dependencies.     

AFT regression-adjusted monitoring of reliability data in cascade processes

Today’s competitive market has witnessed a growing interest in improving the reliability of products in both service and industrial operations. A large number of monitoring schemes have been introduced to effectively control the reliability-related quality characteristics. These methods have focused on single-stage processes or considered quality variables which are independent. However, the main feature of multistage processes is the cascade property which needs to be justified for the sake of optimal process monitoring. The problem becomes complicated when the presence of censored observations is pronounced. Therefore, both the effects of influential covariates and censored data must be taken into account while presenting a monitoring scheme. In this paper, the accelerated failure time models are used and two regression-adjusted control schemes based on Cox-Snell residuals are devised. Two different scenarios with censored and non-censored data are considered respectively. The competing control charts are compared in terms of zero-state and steady-state average run length criteria using Markov chain approach. The comparison study reveals that the cumulative sum based monitoring procedure is superior and more effective. It should be noted that the application of the proposed monitoring schemes are not restricted to manufacturing processes and thus service operations such as healthcare systems can benefit from them.     

Enhancing the quality of municipality services using four-dimensional house of quality

Quality & Quantity - In some organizations, there are various departments, each having customers with different wants. The purpose of this research is to use a new tool named 4-Dimensional...     

A causal relationship between trade efficiency and economic efficiency: Evidence from dynamic simultaneous equations models

The objective of this study is to examine the causal relationship between economic efficiency and trade efficiency using dynamic panel data in simultaneous equations models for global panel of 50 countries over the period 2000–2014. The study also implements this interrelationship for two groups of countries based on their level of development. Two models applying different factors reflecting countries’ economic and trade policies are proposed to measure the targeted efficiencies using data envelopment analysis method. Evidence from the simultaneous equations models to identify a relationship between economic efficiency and trade efficiency supports the bidirectional causality between them in all three categories of countries. It has been also found that both economic and institutional factors have a significant positive influence on trade and growth performance, with the effect of political factors being especially pronounced for developing countries that suffer from weak institutional capacity. These empirical findings are of particular interest to policy-makers as they help to build sound policies in order to maximize trade performance as well as economic efficiency.     

On the monitoring of multi-attributes high-quality production processes

Over the last decade, there have been an increasing interest in the techniques of process monitoring of high-quality processes. Based upon the cumulative counts of conforming (CCC) items, Geometric distribution is particularly useful in these cases. Nonetheless, in some processes the number of one or more types of defects on a nonconforming observation is also of great importance and must be monitored simultaneously. However, there usually exist some correlations between these two measures, which obligate the use of multi-attribute process monitoring. In the literature, by assuming independence between the two measures and for the cases in which there is only one type of defect in nonconforming items, the generalized Poisson distribution is proposed to model such a problem and the simultaneous use of two separate control charts (CCC & C chats) is recommended. In this paper, we propose a new methodology to monitor multi-attribute high-quality processes in which not only there exist more than one type of defects on the observed nonconforming item but also there is a dependence structure between the two measures. To do this, first we transform multi-attribute data in a way that their marginal probability distributions have almost zero skewnesses. Then, we estimate the transformed mean vector and covariance matrix and apply the well-known χ² control chart. In order to illustrate the proposed method and evaluate its performance, we use two numerical examples by simulation and compare the results. The results of the simulation studies are encouraging.