Xiaobao Chai, Jinglin Liu, RuiZhi Guan and Minglang Xiao
To improve the output torque density of the machine and to be better suited for automation applications, this paper aims to propose a double-permanent-magnet enhanced hybrid…
Abstract
Purpose
To improve the output torque density of the machine and to be better suited for automation applications, this paper aims to propose a double-permanent-magnet enhanced hybrid stepping machine (DPMEHSM) with tangential and radial magnetization.
Design/methodology/approach
First, the structure of DPMEHSM is introduced and its operation principle is analyzed by describing the variation in stator poles versus time. Second, based on the similar electrical load and amount of PM, the size equations of the DPMEHSM are designed and the main parameters are presented. Third, the electromagnetic performances including the PM flux linkage distribution, magnetic density distribution, air-gap field, back electromotive force (back-EMF), detent torque, holding torque and output torque of DPMEHSM and stator-PM hybrid stepping machine (SPMHSM) are analyzed based on the finite element method.
Findings
The results show that the DPMEHSM has superiority in back-EMF, holding torque and output torque.
Originality/value
This paper proposes a DPMEHSM with tangential and radial magnetization to improve the output torque density.
Details
Keywords
Samuel Fosso Wamba, Shahriar Akter and Marc de Bourmont
Big data analytics (BDA) gets all the attention these days, but as important—and perhaps even more important—is big data analytics quality (BDAQ). Although many companies realize…
Abstract
Purpose
Big data analytics (BDA) gets all the attention these days, but as important—and perhaps even more important—is big data analytics quality (BDAQ). Although many companies realize a full return from BDA, others clearly struggle. It appears that quality dynamics and their holistic impact on firm performance are unresolved in data economy. The purpose of this paper is to draw on the resource-based view and information systems quality to develop a BDAQ model and measure its impact on firm performance.
Design/methodology/approach
The study uses an online survey to collect data from 150 panel members in France from a leading market research firm. The participants in the study were business analysts and IT managers with analytics experience.
Findings
The study confirms that perceived technology, talent and information quality are significant determinants of BDAQ. It also identifies that alignment between analytics quality and firm strategy moderates the relationship between BDAQ and firm performance.
Practical implications
The findings inform practitioners that BDAQ is a hierarchical, multi-dimensional and context-specific model.
Originality/value
The study advances theoretical understanding of the relationship between BDAQ and firm performance under the influence of firm strategy alignment.