bluuebunny/crossref_metadata_2025_split huggingface dataset:
Refugee health in Europe: mapping review of research literature (2015–2019)
Authors: Ibragimova Irina , Žužak Martina 
Published: September 2020

PurposeThe purpose of this paper is to map research literature on all aspects of refugee health in Europe (2015–2019): by research domain, study design, targeted population, type of setting, host country, journal title. This will help to identify recent research trends in the field, provide policymakers with useful source of information and help researches to target important gaps in evidence.Design/methodology/approachWHO (with other international agencies) has developed strategic documents and produced technical guidance, which formulate priority issues of refugee health in Europe. These documents state the need for relevant information and research data to support effective decision-making at all levels of health care systems. Although recent bibliometric analysis of global migration health research (2000–2016) concluded that 25.4% of retrieved documents were about refugees and asylum seekers, still there remain critical gaps in the knowledge base on a wide range of determinants of health service delivery and access for refugees and asylum seekers in the WHO European Region. Mapping review design was chosen as it maps and categorizes existing literature from which to commission further reviews and/or primary research by identifying gaps in research literature. Search strategy was developed and searches were executed in six databases: PubMed Medline; Scopus; ProQuest (Thesis and Dissertations); Cochrane Library; BASE; eLibrary (Russian journal articles).FindingsMapping review revealed that although research in some domains of refugee health was growing (mental health, infectious diseases, access to health care), there are still gaps in evidence in many important aspects: maternal and reproductive health, NCD, nutrition and economic evaluations. Most of 1,291 retrieved studies used observational or quasi-experimental design (75%), while very few were experimental studies (1.8%). Secondary research constituted a significant portion of retrieved publications: systematic reviews and meta-analysis – 8%, other reviews with systematic approach – 16%.Originality/valueDetailed mapping of research by a combination of setting, population and research domains and comparison of results with those from previous decades and with planned trials and systematic reviews.
“Representative bureaucracy as a leadership issue: the Canadian case”
Authors: Mau Tim A. 
Published: September 2020

PurposeThe public administration literature on representative bureaucracy identifies several advantages from having a diverse public service workforce, but it has not explicitly focused on leadership. For its part, the public sector leadership literature has largely ignored the issue of gender. The purpose of this paper is to rectify these limitations by advancing the argument that having a representative bureaucracy is fundamentally a leadership issue. Moreover, it assesses the extent to which representativeness has been achieved in the Canadian federal public service.Design/methodology/approachThe paper begins with a discussion of the importance of a representative bureaucracy for democratic governance. In the next section, the case is made that representativeness is fundamentally intertwined with the concept of administrative leadership. Then, the article provides an interpretive case study analysis of the federal public service in Canada, which is the global leader in terms of women's representation in public service leadership positions.FindingsThe initial breakthrough for gender representation in the Canadian federal public service was 1995. From that point onward, the proportion of women in the core public administration exceeded workforce availability. However, women continued to be modestly under-represented among the senior leadership cadre throughout the early 2000s. The watershed moment for gender representation in the federal public service was 2011 when the number of women in the executive group exceeded workforce availability for the first time. Significant progress toward greater representativeness in the other target groups has also been made but ongoing vigilance is required.Research limitations/implicationsThe study only determines the passive representation of women in the Public Service of Canada and is not able to comment on the extent to which women are substantively represented in federal policy outcomes.Originality/valueThe paper traces the Canadian federal government's progress toward achieving gender representation over time, while commenting on the extent to which the public service reflects broader diversity. In doing so, it explicitly links representation to leadership, which the existing literature fails to do, by arguing that effective administrative leadership is contingent upon having a diverse public service. Moreover, it highlights the importance of gender for public sector leadership, which hitherto has been neglected.
Variations in economic growth across states in Malaysia: an exploratory analysis
Authors: Yusof Yusniliyana , Kalirajan Kaliappa 
Published: September 2020

PurposeThe study contributes to the aim of regional development policy in reducing regional disparities, by examining the spatial balance in socioeconomic development across the states of Malaysia based on composite development index (CDI). Besides, the study has attempted to understand the issues in the development gaps across Malaysian states by evaluating the factors that explain the variation in economic growthDesign/methodology/approachThis study uses three-stage least squares (3SLS) and bootstrap sampling and estimation techniques to examine the factors that explain the variations in the growth of development across the states in Malaysia. The analysis involves 13 states in Malaysia (Johor, Melaka, Negeri Sembilan, Pulau Pinang, Perak, Perlis, Selangor, Kedah, Kelantan, Pahang, Terengganu, Sabah and Sarawak) from 2005 to 2015.FindingsThe pattern in the spatial socioeconomic imbalance demonstrates a decreasing trend. However, the development index reveals that the performance of less developed states remained behind that of the developed states. The significant factors in explaining the variation in growth across the Malaysian states are relating to agriculture, manufacturing, human capital, population growth, Chinese ethnicity, institutional factors and natural resources.Research limitations/implicationsThe authors focused on Malaysian states over the period between 2005 and 2015. The authors encountered some limitations in obtaining relevant data such as international factors and technological change that might also explain the variation in economic growth as the data on these variables are not reported at the state level. Moreover, the data on GSDP by sector was only available from the year 2005. Second, the study is based on secondary data. Future studies might examine the factors that contribute to the development gap across Malaysian states through interviews or questionnaires and compare the findings with the existing results. Despite its limitations, this study contributes to the existing literature that emphasizes on spatial balance of socioeconomic in a developing country, focusing on Malaysian states.Practical implicationsThese findings provide guidance for policymakers by understanding key potential areas to reduce the disparity in economic growth across Malaysian states by understanding their impact on the growth.Originality/valueThis study employs different method of 3SLS and bootstrap sampling and estimation techniques in examining the factors that explain the variations in the growth of development across the states in Malaysia.
Structural analysis of the development of the Iranian tourism market employing a MICMAC approach: a new long-range planning method to attract the ASEAN international tourist market
Authors: Nematpour Mohammad , Khodadadi Masood , Rezaei Nasser , Makian Sarasadat 
Published: September 2020

PurposeAs tourism development is an unquestionable part of every national growth policy, this study aims to introduce an integrated method employing MICMAC analysis for understanding the key strategic variables of Iran's tourism development system.Design/methodology/approachThe structural analysis with MICMAC method was used to determine the classification of variables, aimed at structuring ideas to deal with complex decision-making and help planners and policymakers formulate future-based strategies.FindingsThe cross-impact matrix was used to identify the development variables having the greatest impact on the development of Southeast Asian tourism to Iran. The results showed that among 43 variables, 10 have great potential as key variables in the future of Iran's tourism development.Research limitations/implicationsMICMAC, as a structural analysis technique, is regarded as being the most appropriate to identify the key variables in the development of the Iranian tourism system. The limitation was that the other tourism markets, apart from ASEAN tourists, and the tourism demand-side were excluded from this study.Practical implicationsThe present study indicates that identifying key factors that influence the supply side of Iran's tourism system is worthwhile. Consequently, the findings show how these key factors can play a vital role in long-range economic sustainability and lead to the development of Iran's tourism market to enhance globally its competitiveness as a destination to attract international ASEAN tourists.Originality/valueThis study is one of the first papers to focus on the development of Iran's tourism market from a supply-side through structural analysis. Its findings are valuable as they can be used by the tourism authorities in the process of developing future tourism scenarios for Iran.
Strategic alliances, exploration and exploitation and their impact on innovation and new product development: the effect of knowledge sharing
Authors: Ferreira Jorge , Coelho Arnaldo , Moutinho Luiz 
Published: September 2020

PurposeThis study delves in the controversy about the nature and the sign of the effect of strategic alliances and exploration and exploitation capabilities on innovation and new product development. The paper analyses the effects of knowledge sharing and strategic alliances relationships at the firm level. Specifically, we study the influence of strategic alliances relationships in new product development and the mediating role of exploration and exploitation as dynamic capabilities.Design/methodology/approachThis investigation proposes a theoretical model tested using structural equation modeling (SEM). The multigroup analysis was performed to understand the moderating role of. A questionnaire survey was developed to explore the relations between strategic alliances and innovation and new product development variables. For this study, 387 valid questionnaires were collected from a sample of Portugal SME' firms. A 90-item questionnaire was submitted to employees managers of a large number of Portuguese SMEs, which consists to study the relationships among all the variables.FindingsThe results show that exists a positive direct influence of strategic alliances on innovation and new product development, and mediating impact the exploration and exploitation by the moderating role of knowledge sharing.Research limitations/implicationsThis study has some methodological limitations affecting its potential contributions. A cross-sectional study that captures one image in time and its ability to identify strict causality between variables is limited. Furthermore, the results are based on log collected from a key respondent, rather than broader actual data. The results are restricted to one country, Portugal. Future research should initially target different countries. Such research could then test the generalizability of the results.Practical implicationsTo fill this managerial relevance gap, we propose a process model in which the main antecedents of alliance stability will be examined. We argue that an alliance's evolutionary dynamics depend on these factors and variables that the partners must assess and manage over its developmental stages. In this sense, managers have significant scope to influence the ultimate success of strategic alliances. This study highlights the need to actively manage the cooperation – competition (coopetition) tension with the alliance partner and to apply the knowledge acquired from the partner to create new knowledge to enhance innovative performanceOriginality/valueThis paper contributes to fill the gap between strategic alliances and new product development mediated by exploration and exploitation in the dynamic capabilities view.
Understanding knowledge translation in university–industry research projects: a case analysis in the automotive sector
Authors: Canonico Paolo , De Nito Ernesto , Esposito Vincenza , Pezzillo Iacono Mario , Mangia Gianluigi 
Published: September 2020

PurposeIn this paper, we depart from extant conceptualisations of knowledge translation mechanisms to examine projects as a way to achieve effective knowledge transfer. Our empirical analysis focused on a university–industry research project in the automotive industry.Design/methodology/approachThe empirical analysis was based on a qualitative investigation. We analysed material collected within a research project involving a partnership between two universities and Fiat-Chrysler Automotive (FCA), a multi-brand auto manufacturer with a product range covering several different market segments. We used three data collection techniques: internal document analysis, participant observation and semi-structured interviews.FindingsOur findings show that, in a U-I research project, goals represent a key dimension to support knowledge translation. Defining the goal implies an ongoing negotiation process, where researchers and company employees work together, in order to converge towards a shared meaning of the goal. In this sense, goal orientation and goal-based interaction have significant implications for knowledge translation processes.Originality/valueStudies to date have focussed on the concept of knowledge translation as a way to contextualise the transfer from the source of knowledge to the receiver and to interpret the knowledge to be exchanged. This study expands the understanding of knowledge translation mechanisms in university–industry research settings. It investigates the concept of projects as powerful knowledge translation mechanism in a dynamic and longitudinal perspective. Our contribution provides insight, reflecting on how the use of projects may represent a way to facilitate knowledge transfer and build up new ideas and solutions.
The effect of superstar gig workers on shareholder value: evidence from professional wrestling
Authors: Carter Kelly 
Published: September 2020

PurposeThe purpose of this paper is to measure the effect of superstar gig workers, defined as independent contractors who are the most successful in their field, on shareholder value. Gig workers comprise as much as 33% of the workforce and are projected to exceed 50% by 2028. Thus, understanding their impact on shareholder value is important.Design/methodology/approachThis paper uses OLS regression analysis. To establish causality regarding wealth effects, the sudden deaths of superstar gig workers are used. To facilitate the uncontaminated measurement of wealth effects, sudden deaths that coincide with a significant event on a [−3, 3] window about the death event are not used.FindingsThe sudden death of a superstar gig worker causes shareholder wealth to increase significantly by 0.35% or almost $1.5m. Rational and behavioral explanations are offered for this result.Research limitations/implicationsGeneralizability is limited because data on superstar gig workers in traditional corporations are unavailable. For this reason, this paper uses the only available data, namely, data on superstar wrestlers, who are contracted to perform in matches (i.e. “gigs”) in a lucrative promotion (e.g. World Wrestling Entertainment (WWE)). Future research could examine the effect of corporate gig workers on shareholder value if the data become available at some point.Originality/valueThis paper is the first to document the effects of any type of gig worker, whether superstar or regular, on shareholder value.
A spiritual perspective on Senge’s five disciplines: harmony and Alibaba
Authors: Mak Carry , Snell Robin Stanley , Hong Jacky 
Published: September 2020

Purpose
The purpose of this paper is to investigate Peter Senge’s ideas from the perspective of the spiritual ideal of harmony/He (和).

Design/methodology/approach
Following a literature review of the conceptualization of Senge’s fifth discipline and harmony, an appreciative case study of Alibaba is adopted to demonstrate the role of harmony in guiding the transformative application of the five disciplines of the learning organization.

Findings
In developing as a learning organization, Alibaba is portrayed as having embraced three levels of harmony: person-within-oneself, person-to-others and person-to-nature harmony. The authors identify three equivalencies between Senge’s disciplines and the traditional Chinese ideal of harmony. First, personal mastery and metal models correspond to developing person-within-oneself harmony. Second, team learning and shared vision entail developing person-to-others harmony. Third, systems thinking aligns with person-to-nature harmony.

Practical implications
The case study demonstrates various approaches that can be used to foster the development of person-within-oneself, person-to-others and person-to-nature harmony within an aspiring learning organization.

Originality/value
This paper shows how core values of Confucianism, Taoism and Buddhism, distilled into the Chinese ideal of harmony, can encourage the cultivation of learning organizations.
Modeling, Analysis, and Identification of Parallel and Angular Misalignments in a Coupled Rotor-Bearing-Active Magnetic Bearing System
Authors: Srinivas R. Siva , Tiwari Rajiv , Babu Ch Kanna 
Published: September 2020

Abstract
The standard techniques used to detect misalignment in rotor systems are loopy orbits, multiple harmonics with predominant 2X component, and high axial vibration. This paper develops a new approach for the identification of misalignment in coupled rotor systems modeled using two-node Timoshenko beam finite elements. The coupling connecting the turbine and generator rotor systems is modeled by a stiffness matrix, which has both static and additive components. While the magnitude of static stiffness component is fixed during operation, the time-varying additive stiffness component displays a multiharmonic behavior and exists only in the presence of misalignment. To numerically simulate the multiharmonic nature coupling force/moment as observed in experiments, a pulse wave is used as the steering function in the mathematical model of the additive coupling stiffness (ACS). The representative turbogenerator (TG) system has two rotor systems, each having two disks and supported on two flexible bearings—connected by coupling. An active magnetic bearing (AMB) is used as an auxiliary bearing on each rotor for the purposes of vibration suppression and fault identification. The formulation of mathematical model is followed by the development of an identification algorithm based on the model developed, which is an inverse problem. Least-squares linear regression technique is used to identify the unbalances, bearing dynamic parameters, AMB constants, and importantly the coupling static and additive stiffness coefficients. The sensitivity of the identification algorithm to signal noise and bias errors in modeling parameters has been tested. The novelty of paper is the representation and identification of misalignment using the ACS matrix coefficients, which are direct indicators of both type and severity of the misalignment.
Fast Generation of Stability Charts for Time-Delay Systems Using Continuation of Characteristic Roots
Authors: Samukham Surya , Uchida Thomas K. , Vyasarayani C. P. 
Published: September 2020

Abstract
Many dynamic processes involve time delays, thus their dynamics are governed by delay differential equations (DDEs). Studying the stability of dynamic systems is critical, but analyzing the stability of time-delay systems is challenging because DDEs are infinite-dimensional. We propose a new approach to quickly generate stability charts for DDEs using continuation of characteristic roots (CCR). In our CCR method, the roots of the characteristic equation of a DDE are written as implicit functions of the parameters of interest, and the continuation equations are derived in the form of ordinary differential equations (ODEs). Numerical continuation is then employed to determine the characteristic roots at all points in a parametric space; the stability of the original DDE can then be easily determined. A key advantage of the proposed method is that a system of linearly independent ODEs is solved rather than the typical strategy of solving a large eigenvalue problem at each grid point in the domain. Thus, the CCR method can significantly reduce the computational effort required to determine the stability of DDEs. As we demonstrate with several examples, the CCR method generates highly accurate stability charts, and does so up to 10 times faster than the Galerkin approximation method.
A Study of Noise Impact on the Stability of Electrostatic MEMS
Authors: Qiao Yan , Xu Wei , Zhang Hongxia , Guo Qin , Abdel-Rahman Eihab 
Published: September 2020

Abstract
Noise-induced motions are a significant source of uncertainty in the response of micro-electromechanical systems (MEMS). This is particularly the case for electrostatic MEMS where electrical and mechanical sources contribute to noise and can result in sudden and drastic loss of stability. This paper investigates the effects of noise processes on the stability of electrostatic MEMS via a lumped-mass model that accounts for uncertainty in mass, mechanical restoring force, bias voltage, and AC voltage amplitude. We evaluated the stationary probability density function (PDF) of the resonator response and its basins of attraction in the presence noise and compared them to that those obtained under deterministic excitations only. We found that the presence of noise was most significant in the vicinity of resonance. Even low noise intensity levels caused stochastic jumps between co-existing orbits away from bifurcation points. Moderate noise intensity levels were found to destroy the basins of attraction of the larger orbits. Higher noise intensity levels were found to destroy the basins of attraction of smaller orbits, dominate the dynamic response, and occasionally lead to pull-in. The probabilities of pull-in of the resonator under different noise intensity level are calculated, which are sensitive to the initial conditions.