bluuebunny/crossref_metadata_2025_split huggingface dataset:
LQR/LQG attitude stabilization of an agile microsatellite with CMG
Authors: Tayebi Javad , Nikkhah Amir Ali , Roshanian Jafar 
Published: March 2017

PurposeThe purpose of the paper is to design a new attitude stabilization system for a microsatellite based on single gimbal control moment gyro (SGCMG) in which the gimbal rates are selected as controller parameters.Design/methodology/approachIn the stability mode, linear quadratic regulator (LQR) and linear quadratic Gaussian (LQG) control strategies are presented with the gimbal rates as a controller parameters. Instead of developing a control torque to solve the attitude problem, the attitude controller is developed in terms of the control moment gyroscope gimbal angular velocities. Attitude control torques are generated by means of a four SGCMG pyramid cluster.FindingsNumerical simulation results are provided to show the efficiency of the proposed controllers. Simulation results show that this method could stabilize satellite from initial condition with large angles and with more accuracy in comparison with feedback quaternion and proportional-integral-derivative controllers. These results show the effect of filtering the noisy signal in the LQG controller. LQG in comparison to LQR is more realistic.Practical implicationsThe LQR method is more appropriate for the systems that have project models reasonably exact and ideal sensors/actuators. LQG is more realistic, and it can be used when not all of the states are available or when the system presents noises. LQR/LQG controller can be used in the stabilization mode of satellite attitude control.Originality/valueThe originality of this paper is designing a new attitude stabilization system for an agile microsatellite using LQR and LQG controllers.
Effects of material property variation in composite panels
Authors: Wright Thomas , Hyder Imran , Daniels Mitchell , Kim David , Parmigiani John P. 
Published: March 2017

Purpose
The purpose of this paper is to determine which of the ten material properties of the Hashin progressive damage model significantly affect the maximum load-carrying ability of center-notched carbon fiber panels under in-plane tension and out-of-plane bending.

Design/methodology/approach
The approach used is to calculate the maximum load using a finite element model for a range of material property values as specified by a fraction factorial design. The finite element model used has been experimentally validated in prior work.

Findings
Results showed that for the laminates considered, at most three and as few as one of the ten Hashin material properties significantly affected the magnitude of the maximum load.

Practical implications
While the results of this paper only specifically apply to the laminates included in the study, the results suggest that, in general, only a small number of the Hashin material properties affect laminate load-carrying ability.

Originality/value
Knowing which properties are significant is of value in selecting materials to optimize performance and also in determining which properties need to be known to a high accuracy.
Sport in Europe’s era of austerity: crisis or adaptation?
Authors: Roberts Ken 
Published: March 2017

PurposeThe purpose of this paper is to assess whether European sport has been damaged or adapted during the austerity in public sector and consumer spending that has followed the financial crisis of 2008-2009.Design/methodology/approachReview of literature and data.FindingsSport has adapted successfully.Research limitations/implicationsThe overall conclusions will not apply to every sport in every country.Practical implicationsSport flourishes when it adapts to historical trends.Originality/valueUpdates all previous reviews.
Big data and knowledge management: a case of déjà vu or back to the future?
Authors: Tian Xuemei 
Published: March 2017

PurposeBig data clearly represent an important advance in information systems theory, but to describe it as “revolutionary” is premature. Similar technological breakthroughs, from online databases to ERP, were clearly modulated by advances in the organizational domain, including matters of structure, strategy and culture and arguably big data will be similar. The purpose of this paper is to encourage discussion of the wider implications of big data for the theory and practice of knowledge management.Design/methodology/approachThis is a conceptual study based on critical analysis of the relevant literatures including those of organizational studies and management, big data and knowledge management.FindingsThe literature of big data emphasizes the application of algorithms to pattern analysis and prediction, resulting in data-driven decision-making, with data being the creator of value in organizations and societies. This would appear to render obsolete previous depictions of the “data-information-knowledge” relationship and, in effect, spell the end of knowledge management. However, big data literature largely ignores the organizational dimension and, significantly, the importance of frameworks, strategies and cultures for big data. As all of these are present in the literature of knowledge management, it would seem that big data have a long way to go to catch up and qualify even as a sub-discipline. Indeed, on the evidence, big data may well have a future as a contributor to and/or an element of knowledge management. Even for this to happen, however, major advances are required across the spectrum of big data technologies.Research limitations/implicationsThis is a position paper written as the precursor for an empirical study.Originality/valueThe paper offers a critical literature-based and knowledge management perspective on big data while pointing out the common thread that runs through decades of advances in information systems technologies.
The concepts of big data applied in personal knowledge management
Authors: Liu Che-Hung , Wang Jen Sheng , Lin Ching-Wei 
Published: March 2017

Purpose
The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM).

Design/methodology/approach
Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM.

Findings
This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM.

Originality/value
While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM.
Big data systems: knowledge transfer or intelligence insights?
Authors: Rothberg Helen N. , Erickson G. Scott 
Published: March 2017

Purpose
This paper aims to bring together the existing theory from knowledge management (KM), competitive intelligence (CI) and big data analytics to develop a more comprehensive view of the full range of intangible assets (data, information, knowledge and intelligence). By doing so, the interactions of the intangibles are better understood and recommendations can be made for the appropriate structure of big data systems in different circumstances. Metrics are also applied to illustrate how one can identify and understand what these different circumstances might look like.

Design/methodology/approach
The approach is chiefly conceptual, combining theory from multiple disciplines enhanced with practical applications. Illustrative data drawn from other empirical work are applied to illustrate some concepts.

Findings
Theory suggests that the KM theory is particularly useful in guiding big data system installations that focus primarily on the transfer of data/information. For big data systems focused on analytical insights, the CI theory might be a better match, as the system structures are actually quite similar.

Practical implications
Though the guidelines are general, practitioners should be able to evaluate their own situations and perhaps make better decisions about the direction of their big data systems. One can make the case that all the disciplines have something to add to improving how intangibles are deployed and applied and that improving coordination between KM and analytics/intelligence functions will help all intangibles systems to work more effectively.

Originality/value
To the authors’ knowledge, very few scholars work in this area, at the intersection of multiple types of intangible assets. The metrics are unique, especially in their scale and attachment to theory, allowing insights that provide more clarity to scholars and practical direction to industry.
An exploration of contemporary organizational artifacts and routines in a sustainable excellence context
Authors: Carayannis Elias G. , Grigoroudis Evangelos , Del Giudice Manlio , Della Peruta Maria Rosaria , Sindakis Stavros 
Published: March 2017

Purpose
Organizations and their members operate in increasingly complex, dynamic and even disruptive environments, with risk and uncertainty being major challenges. To that effect, data, information, knowledge, and respective competences are increasingly instrumental in enabling and sustaining organizational intelligence that translates into resilience in the shorter and sustainable excellence in the longer term. Therefore, the purpose of this paper is to explore the role of the artifacts and routines in a sustainable organizational excellence context.

Design/methodology/approach
An extensive literature review was used to develop the context of the paper, focusing on big data and organizational intelligence for enterprise excellence and resilience. In addition, a thematic literature review method was used to study the role and impacts of routines and artifacts in organizational change, policies, structure and performance.

Findings
Although many traditional management practices retain their validity, knowledge management must give a clearer view of the existing connection between firm-level competitive advantage in open economies flows and difficult-to-use knowledge assets. The proposed framework studies knowledge exploration and knowledge exploitation as organizational phenomena opposed and mutually incompatible.

Originality/value
The paper presents a first attempt to study the linkages of organizational routines and artifacts as a cycle wherein knowledge acquisition and learning competencies form and enhance a firm’s organizational intelligence, leading to robust competitiveness and sustainable entrepreneurship.
Do Mental Health First Aid™ courses enhance knowledge?
Authors: Morrissey Hana , Moss Simon , Alexi Nektarios , Ball Patrick 
Published: March 2017

Purpose
Biased assumptions and unhelpful tendencies in human nature can lead people who are experiencing mental illness to shun help and support. Mental illness is often perceived as immutable and/or a sign of weakness. Even those seeking support may not receive the assistance they need. Advice may be unsuitable or people feel too nervous and challenged to help. The Mental Health First Aid™ courses, like general first aid, are designed to enhance community knowledge and thereby support appropriate assistance. The purpose of this paper is to evaluate the extent to which this is achieved.

Design/methodology/approach
An educational audit based upon a short quiz administered anonymously to 162 tertiary students from a range of disciplines, before and after delivery of the standard 12 hour Mental Health First Aid™ course. This was used to examine assumptions and proposed actions before and after training.

Findings
Analysis of the 162 responses found that the Mental Health First Aid™ courses significantly improve knowledge. This has the potential to increase understanding and support for those suffering mental illness.

Research limitations/implications
This educational audit looked only at knowledge improvement. Whether this really does translate into improved outcomes requires further investigation.

Practical implications
Tertiary students who are enrolled in health courses and others which involve human interaction as provision of services will be empowered with skills that enable them to interact with those who they will be serving at well-informed level and equity.

Social implications
Social inclusion and de-stigmatising mental health issues

Originality/value
Mental health first aid courses potentially enable individuals who are not otherwise involved in mental health to assist people in need.
Objective structured clinical exam: a successful approach to pre-registration mental health nurse assessment
Authors: Murcott William John , Clarke Nicola 
Published: March 2017

PurposePre-registration mental health nursing courses are a mixture of clinical practice and university-based education completed over three years, culminating in a successful student entering the professional nursing register. During a student’s time at university they will encounter many different types of assessment, whether formative or summative. These are typically academic written assignments, academic exams, presentations, viva, assessed clinical practice by an approved mentor, and objective structured clinical exam (OSCE). The paper aims to discuss these issues.Design/methodology/approachAn OSCE to assess second year mental health nursing students was determined to be a highly appropriate method of allowing students to demonstrate the skills associated with the nursing process, NMC standards and learning outcomes for the module.FindingsIt was recognised that preparation was essential in supporting the reduction of the student’s anxieties over the process, careful design and planning was needed to ensure reliability and validity of a logistically challenging assessment method.Originality/valueOSCE have become a major contributor towards the assessment of student nurses and are regarded by some as the gold standard for assessment. However, this assessment has not been widely utilised within mental health nurse education and little research exists surrounding their use. This paper furthers the literature base on the use of OSCE by exploring the underpinning design rationale and the subjective experience of staff and students.
Implementation of rapid manufacturing for mass customisation
Authors: Deradjat Dominik , Minshall Tim 
Published: March 2017

PurposeThe purpose of this paper is to increase the understanding of how companies can implement rapid manufacturing (RM) (i.e. the use of additive manufacturing (AM) technologies for final part production) for mass customisation (MC), drawing upon the experiences of firms in the dental sector (one of the major users of AM technologies).Design/methodology/approachA framework for implementation of RM for MC was developed from the literature to guide the data gathering. Data from six case companies in the dental sector implementing RM for MC, supplemented with insights from their respective AM machine providers and software companies, were used to analyse how companies implement RM for MC and what considerations and challenges they face in the process.FindingsThe study shows how implementation of RM for MC entails different considerations depending on the stage of implementation and maturity of involved technologies. In total, 26 challenges have been identified that seem to play a crucial role in implementation. The paper suggests that RM can enable MC in manufacturing by achieving both a high number of units produced and as well as a high level of customisation of each product.Originality/valueBased on the review of the literature, no case studies exist that investigate companies implementing RM for MC despite literature having suggested RM as an enabler for MC in manufacturing for many years.
The changing face of additive manufacturing
Authors: Gibson Ian 
Published: March 2017

Purpose
The purpose of this paper is to discuss the current state-of-the-art in additive manufacturing, more commonly known as 3D printing, from the business perspectives. The primary drivers behind the development of the associated technologies are considered along with features that limit growth.

Design/methodology/approach
The approach is a personal perspective, based on approximately 25-years study of the development of the associated technologies and applications.

Findings
The discussion has found that the technology is still growing healthily, but with an understanding that there are numerous application areas that should be considered separately. Some areas are significantly more mature than others and success in some areas does not guarantee success in others.

Originality/value
This viewpoint has been prepared for the current state-of-the-art and can be compared with earlier viewpoints to see how things may have changed in the past. This should be of value to those interested to explore how the technology has developed in recent times and how it may move into the future.
Proactive personality, core self-evaluations, and engagement: the role of negative emotions
Authors: Haynie Jeffrey Joseph , Flynn C. Brian , Mauldin Shawn 
Published: March 2017

PurposeThe authors examined the simultaneous indirect effects of proactive personality (PP) and core self-evaluations (CSEs) on the work outcomes of employee task performance and affective organizational commitment (AOC) via job engagement. Additionally, the authors tested the potential energizing capacity of high negative work affect in this process. The paper aims to discuss these issues.Design/methodology/approachData were collected from a sample of teachers in the South-Eastern USA (n=193). The online survey assessed PP, CSE, work affect, job engagement and AOC. Employee task performance was obtained from archival sources.FindingsThe results indicated that job engagement mediated the relationships of PP and CSE with employee task performance and AOC. Additionally, negative work affect strengthened the PP-job engagement-work outcomes relationship when it was high.Research limitations/implicationsPP and CSE individuals appear to devote their job engagement energies for differing reasons. These distinctions are further supported by high negative work affect being found to bolster the PP-job engagement-work outcomes relationship only. Future research should continue to investigate the unique contributions made by PP and CSE to job engagement.Originality/valueBy examining PP, CSE, negative work affect and job engagement within a conservation of resources (COR) lens, the authors were able to further distinguish through interpretation of the findings the motivational aspects of PP and CSE as well as providing an instance where negative work affect can incite additional job engagement.
Determinants of stock market development: a review of the literature
Authors: Ho Sin-Yu , Njindan Iyke Bernard 
Published: March 2017

PurposeThis paper aims to provide a comprehensive review of the literature on the determinants of stock market development.Design/methodology/approachThe paper divides the existing studies into the theoretical and empirical literature. Then, it analyses these studies in turn.FindingsBased on the theoretical literature, the determinants of stock market development can be broadly classified into two groups: macroeconomic factors and institutional factors. The theory and the empirics predict different ways in which macroeconomic factors affect stock market development. The real income and its growth rate foster stock market development, while the banking sector, interest rate and private capital flows can foster or inhibit it. Inflation and exchange rates have adverse effects on stock market development. In terms of the institutional factors, the literature indicates that different legal origins and stock market integration can have a positive or negative impact on stock market development. In addition, factors such as legal protection of investors, corporate governance, financial liberalisation and trade openness contribute positively to the development of the stock market.Research limitations/implicationsFrom the survey, it is imperative that policies which aim at enhancing institutional quality, financial integration, real income growth, macroeconomic stability and capital inflows, among others, will certainly promote stock market development within and across countries. Although the empirical studies have incorporated a large set of variables in their models, the theoretical studies do not contain rich models of stock market development. It is understandable that a theoretical model which contains a large set of the determinants of stock market development may be difficult to solve. However, such a model seems very appealing and will provide a unification of the existing literature.Originality/valueThe originality of the paper lies in the fact that it is the first to undertake a survey of the determinants of stock market development in the literature. It is hoped that this paper will spur further theoretical and empirical research on the determinants of stock market development.
Rare case of vascular malformations in both skin and brain: Case report and published work review
Authors: Oka Masahiro , Sakaguchi Masanobu , Fukumoto Takeshi , Seki Shin‐ichiro , Nishigori Chikako 
Published: March 2017

AbstractSolitary venous malformation (VM) of the skin, previously known as cavernous hemangioma, is frequently observed in the dermatological field, but multiple acquired VM are rare. We present a case of multiple VM of the skin associated with multiple cerebral cavernous malformations (CCM) in a 70‐year‐old Japanese woman. In addition, we summarize seven reported similar cases, including the present case. That some reports have described concomitant VM of the skin and CCM, together with the present case, suggests a tight relationship or a common pathogenetic pathway between these two diseases.