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1 – 10 of 47
Article
Publication date: 1 August 2000

A. Kushelev, S. Polyschuk, E. Nedelko, D. Kozhevnikov and S. Pisarzhevsky

A new type of engine is proposed. The principle of the operation of this engine is as follows. The alternating electric current of high frequency flows from the…

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Abstract

A new type of engine is proposed. The principle of the operation of this engine is as follows. The alternating electric current of high frequency flows from the condenser over the vertical conductor of the cross and branches at its centre in three directions. The vertical current generates a magnetic field. The horizontal currents flow in counter‐directions; therefore their magnetic fields are mutually cancelled, but the side branches of the cross are subjected to the operation of the Ampere force (F) from the magnetic field of the vertical conductor. This force moves the engine forward.

Details

Aircraft Engineering and Aerospace Technology, vol. 72 no. 4
Type: Research Article
ISSN: 0002-2667

Keywords

Article
Publication date: 4 July 2022

Leon Kluiters, Mohit Srivastava and Ladislav Tyll

This study aims to investigate the effects of firm- and governance-specific characteristics on digital trust (DT) and firm value. Firm-specific factors include return on…

Abstract

Purpose

This study aims to investigate the effects of firm- and governance-specific characteristics on digital trust (DT) and firm value. Firm-specific factors include return on assets (ROA), market-to-book ratio (M/B ratio), size and leverage, whilst governance-related factors comprise board size, percentage of female board members, board independence and institutional ownership. All listed US firms over the period of 2011–2016 were analysed in this study.

Design/methodology/approach

This study provides a novel method to empirically measure DT by combining multiple variables to create a combined DT score. The variables include security and privacy scores, security rankings and data breaches, amongst others. Subsequently, a linear regression was performed to evaluate the effect of firm- and governance-specific characteristics on DT, as well as the effect of DT on firm value.

Findings

By using signalling theory, this study finds significant evidence that a firm’s profitability (ROA) decreases whilst its size increases DT. This could be due to the fact that firms with lower DT monetise data more actively, decrease DT and increase short-term profitability. Significant evidence also shows that increasing DT leads to an increase in firm value.

Originality/value

Although numerous studies have been conducted on developing customers’ trust by incorporating corporate social responsibility to improve firm value, the literature remains still on its digital analogue. Therefore, this study extends the knowledge of corporate digital responsibility (CDR) by providing a novel method for calculating DT across industries as an antecedent of CDR. Specifically, it sheds light on how firms can enhance DT by utilising firm- and governance-level factors. This enhanced DT can subsequently increase firm value. The study provides important managerial implications by providing empirical evidence that cybersecurity investments increase firm value. This value increase is related to the rise in shareholder value amongst investors and the increase in the organisation’s consumer perceptions as the latter’s interests are better managed.

Details

Society and Business Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5680

Keywords

Article
Publication date: 12 January 2022

Andrey Kozhevnikov, Rudie P.J. Kunnen, Gregor E. van Baars and Herman J.H. Clercx

This study aims to examine the feasibility of feedforward actuation of the recoater blade position to alleviate the resin surface non-uniformity while moving over…

Abstract

Purpose

This study aims to examine the feasibility of feedforward actuation of the recoater blade position to alleviate the resin surface non-uniformity while moving over deep-to-shallow transitions of submerged (already cured) geometric features.

Design/methodology/approach

A two-dimensional computational fluid dynamics (CFD) model has been used to determine optimized blade actuation protocols to minimize the resin surface non-uniformity. An experimental setup has been designed to validate the feasibility of the proposed protocol in practice.

Findings

A developed protocol for the blade height actuation is applied to a rectangular stair-like configuration of the underlying part geometry. The evaluation of the actuation protocol revealed the importance of two physical length scales, the capillary length and the size of the flow recirculation cell below in the liquid resin layer below the blade. They determine, together with the length scales defining the topography (horizontal extent and depth), the optimal blade trajectory. This protocol has also shown its efficiency for application to more complicated shapes (and, potentially, for any arbitrary geometry).

Practical implications

This study shows that incorporation of a feedforward control scheme in the recoating system might significantly reduce (by up to 80%) the surface unevenness. Moreover, this improvement of performances does not require major modifications of the existing architecture.

Originality/value

The results presented in this work demonstrate the benefits of the integration of the feedforward control to minimize the leading edge bulges over underlying part geometries in stereolithography.

Article
Publication date: 8 January 2020

Andrei Kozhevnikov, Rudie P.J. Kunnen, Gregor E. van Baars and Herman J.H. Clercx

This paper aims to explore the fluid flow in the stereolithography process during the recoating step. The understanding of the flow dynamics can be used as an input for an…

Abstract

Purpose

This paper aims to explore the fluid flow in the stereolithography process during the recoating step. The understanding of the flow dynamics can be used as an input for an active control of the resin surface height map. The recoating over a rectangular cavity has been considered to investigate the influence of the cavity depth on the resin surface height map.

Design/methodology/approach

Two-dimensional numerical simulations have been used to obtain the flow characteristics as function of the cavity depth. An experimental setup, which mimics the recoating process in the stereolithography process, was used to verify the results of simulations and to test the suitability of the 2D model. The surface height profile along the centreline was measured by a confocal chromatic distance sensor and compared to the 2D numerical results.

Findings

By means of computational fluid dynamics (CFD) simulation, the flow in the cavity and the free-surface behaviour of the resin was explained for different cavity depths and confirmed by experiments.

Research limitations/implications

The study is focused only on the cavity depth variation to show feasibility and suitability of the presented CFD model and the proposed analytical expression to estimate the layer thickness.

Practical implications

The proposed approach can serve as a tool for designing the closed-loop control for the recoating system in the next generation of stereolithography equipment.

Originality/value

In the present work, the fluid flow behaviour, a source of significant imperfection in the recoating process, has been investigated during the recoating step over a rectangular cavity.

Details

Rapid Prototyping Journal, vol. 26 no. 4
Type: Research Article
ISSN: 1355-2546

Keywords

Book part
Publication date: 17 June 2019

Marian Evans

Adopting a dual processing cognitive perspective, this study explores the decision-making processes past the start-up stage that small entrepreneurial businesses employ to…

Abstract

Adopting a dual processing cognitive perspective, this study explores the decision-making processes past the start-up stage that small entrepreneurial businesses employ to grow. The author examines how entrepreneurs evaluate and make decisions on growth opportunities in their business environment. The author uses cognitive style as a theoretical lens to capture differences in information processing, combining interviews and psychometric questionnaires to analyse cognitive styles. The longitudinal mixed methods approach illustrates the richness of the entrepreneur’s decision-making process, which the author tracks over a two-year period. The author determines how intuitive and analytical cognitive styles are used by entrepreneurs and the contribution these styles make to decision-making. The findings show that the two cognitive styles are versatile as entrepreneurs adjust and adapt their cognitive style over time, in keeping with the situational factors of their business environment. The author also finds marked differences between novice and mature entrepreneurs and that experienced entrepreneurs exhibited greater levels of cognitive versatility, which was directly linked to their prior experience. The study has significant implications for future research, which should consider the question how an entrepreneur’s cognitive style is dependent on the business context and their prior experience.

Details

Creating Entrepreneurial Space: Talking Through Multi-Voices, Reflections on Emerging Debates
Type: Book
ISBN: 978-1-78769-577-1

Keywords

Book part
Publication date: 24 November 2010

Naresh K. Malhotra, Arun K. Jain, Ashutosh Patil, Christian Pinson and Lan Wu

This chapter addresses one aspect of the broad issue of the psychological foundations of the dimensions of multidimensional scaling (MDS) solutions. Using empirical data…

Abstract

This chapter addresses one aspect of the broad issue of the psychological foundations of the dimensions of multidimensional scaling (MDS) solutions. Using empirical data from three independent studies, it is shown that the dimensionality of MDS solutions is negatively related to individual differences in the level of cognitive differentiation and integrative complexity of individuals and positively related to the individual's ability to discriminate within dimensions. MDS dimensionality is also shown to be affected by a variety of task-related variables such as perceived task difficulty, consistency in providing similarity judgments, confidence, familiarity, and importance attached to the stimuli. The chapter concludes by raising the issue of whether MDS can be validly used to describe complex cognitive processes.

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-85724-475-8

Article
Publication date: 1 March 2013

Tal G. Zarankin and Shu Wang

This paper focuses on individuals' improvisation in organizations. The extant literature in this area examines improvisation as either a predictor or an outcome variable…

Abstract

This paper focuses on individuals' improvisation in organizations. The extant literature in this area examines improvisation as either a predictor or an outcome variable. However, there is still considerable confusion about the essence of improvisation and its individual-level determinants. To address these deficiencies, we discuss the differences between improvisation, creativity, and intuition, integrating insights and theories from those fields. Then, we propose a comprehensive model describing a process that includes contextual and individual level variables, which leads to improvisation. Finally, we discuss the theoretical and practical implications of our model and suggest avenues for future research.

Details

International Journal of Organization Theory & Behavior, vol. 16 no. 3
Type: Research Article
ISSN: 1093-4537

Abstract

Details

Effective Leadership for Overcoming ICT Challenges in Higher Education: What Faculty, Staff and Administrators Can Do to Thrive Amidst the Chaos
Type: Book
ISBN: 978-1-83982-307-7

Book part
Publication date: 2 December 2019

Lyudmila Y. Bogachkova, Lidiya S. Guryanova and Shamam G. Khurshudyan

The energy efficiency policy is a priority component of the overall economic policy of different countries striving to ensure the competitiveness and sustainability of…

Abstract

The energy efficiency policy is a priority component of the overall economic policy of different countries striving to ensure the competitiveness and sustainability of national economic development. The improvement of energy efficiency represents an important economic task for the post-Soviet countries, characterized by excessive energy intensity of the economy, and the solution of this task requires proper information and analytical support: a system for accounting and analyzing energy consumption indicators. The present research is aimed at developing the tools to support decision-making in the sphere of evaluation and estimation of performance of the State energy efficiency policy of territories and testing these tools on the example of Russian regions. The study has been carried out using the methods of statistics, economic, mathematical and econometric modeling, structural, dynamic and comparative analyses. The following tools have been proposed: the method for differentiated accounting of various factors’ influence on the dynamics of energy consumption in the regions and for estimating the index of technological efficiency of electricity consumption; the method for the empirical classification of territories by types of their energy and economic development. We’ve revealed the general trend and typological features in the dynamics of electricity consumption efficiency indicators in the constituent entities of the Russian Federation and carried out the decomposition factor and comparative analysis of energy consumption patterns of the Volgograd region over 2005–2014 on the basis of the proposed tools.

Book part
Publication date: 29 June 2016

Paul J. Riccomini, Jiwon Hwang and Stephanie Morano

While deficits for students with learning disabilities (LD) are prevalent in almost all aspects of mathematics, difficulty in the application and understanding of…

Abstract

While deficits for students with learning disabilities (LD) are prevalent in almost all aspects of mathematics, difficulty in the application and understanding of problem-solving tasks are much more challenging to remediate than computational and procedural skills. Given the complexities involved in authentic problem-solving activities emphasized in current mathematics standards and the inherent challenges presented to students with LD, the importance of using strategies and techniques guided by evidence-based practices is paramount. Yet, ineffective instructional strategies for problem solving are still widespread in both mathematics curricula and available teacher resources. In this chapter, we provide a description of a commonly used ineffective problem-solving strategy (i.e., the keyword strategy), an overview of the keyword research, and an explanation for its ineffectiveness. We conclude with a description of three evidenced-based problem-solving approaches and practices that significantly improve the mathematical performance of students with LD.

Details

Instructional Practices with and without Empirical Validity
Type: Book
ISBN: 978-1-78635-125-8

Keywords

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