Search results

The purpose of this paper is to describe a rapid and robust axisymmetric hybrid algorithm to create dynamic temporal and spatial charge distributions, or charge map, in the simulation of bipolar charge injection using Schottky emission and Fowler-Nordheim tunneling, field-dependent transport, recombination, and bulk and interfacial trapping/de-trapping for layered polymer films spanning the range from initial injection to near breakdown.

This hybrid algorithm uses a source distribution technique based on an axisymmetric boundary integral equation method (BIEM) to solve the Poisson equation and a fourth-order Runge-Kutta (RK4) method with an upwind scheme for time integration. Iterative stability is assured by satisfying the Courant-Friedrichs-Levy (CFL) stability criterion. Dynamic charge mapping is achieved by allowing conducting and insulating boundaries and material interfaces to be intuitively represented by equivalent free and bound charge distributions that collectively satisfy all local and far-field conditions.

Charge packets cause substantial increase of electric stress and could accelerate the breakdown of polymeric capacitors. Conditions for the creation of charge packets are identified and numerically demonstrated for a combination of impulsive step excitation, high charge injection, and discontinuous interface.

Metallized bi-axially oriented polypropylene (BOPP) dielectric thin film capacitor with self-clearing and enhanced current carrying capability offer an inexpensive and lightweight alternative for efficient power conditioning, energy storage, energy conversion, and pulsed power. The originality is the comprehensive physics and multi-dimensional modeling which span the dynamic range from initial injection to near breakdown. This model has been validated against some empirical data and may be used to identify failure mechanisms such as charge packets, gaseous voids, and electroluminescence. The value lies in the use of this model to develop mitigation strategies, including re-designs and materials matching, to avoid these failure mechanisms.

Prior research on interfirm collaborations has demonstrated that trust and contract are two central governance mechanisms that influence a firm’s knowledge sharing decision and the subsequent effect on performance. However, we know little about how effective these mechanisms are in different market conditions and levels of organizational innovativeness. This study aims to advance the literature on interfirm knowledge sharing by exploring these contingencies and by providing an alternative explanation of the contradictory effects of knowledge sharing on firm performance.

The authors collected 156 firms’ relationships with their suppliers in two batches from 300 firms in the 2017 list of Statistics in the Zhejiang province in China. The authors used unstructured interviews and formal questionnaires to collect data from these firms.

Market turbulence served as a boundary condition for the effect of interfirm trust and formal contracts on knowledge sharing. Both interfirm trust and formal contracts, as governance mechanisms, are effective in raising interfirm knowledge sharing only when the firms operate in high turbulent markets. On the contrary, knowledge sharing negatively affected firm performance when firms exhibit low organizational innovativeness. Moreover, a three-way interaction among market turbulence, organizational innovativeness and knowledge sharing revealed that when market turbulence and organizational innovativeness were both low, interfirm knowledge sharing was detrimental to firm performance.

Based on the results, this study recommends managers consider external (market turbulence) and internal (organizational innovativeness) when firms decide to share knowledge and benefit from such activities.

This study extends prior research on the determinant of knowledge sharing and clarifies the inconsistent findings of knowledge sharing on firm performance. Thus, strategic organizational leaders need to pay attention to when they need to share information with suppliers to best benefit from those collaborations.

Theory is needed for a discipline to mature. This research aims to provide a summary analysis of the theories being used in contemporary logistics and supply chain management (SCM) studies.

A comprehensive literature review of articles appearing in five top tier logistics and SCM journals is conducted in order to identify how often theory is used and to classify the specific theories used. An analysis of the theoretical categories is presented to explain the type and frequency of theory usage.

Over 180 specific theories were found within the sampled articles. Theories grouped under the competitive and microeconomics categories made up over 40 per cent of the theoretical incidences. This does not imply all articles utilize theory. The research found that theory was explicitly used in approximately 53 per cent of the sampled articles.

Two implications are central. First, in the minds of editors, reviewers and authors is approximately 53 per cent theory use enough? Literature suggests there continues to be a need for theory‐based research in the discipline. A first step may be to increase our theory use, and to clearly describe the theory being used. Second, the vast majority of theories used in recent logistics and SCM research originated in other disciplines. Growth in the discipline dictates the need for greater internal theory development.

Despite multiple calls for the use of theory in logistics and SCM, little formal research has been produced examining the actual theories being used. This research provides an in‐depth review and analysis of the use of theory in logistics and SCM research during the period 2004‐2009.