bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an empowering leadership scale for salespeople: validation and reliability
Authors: Na-Nan Khahan , Kanthong Suteeluck N. , Khummueng Kattikamat 
Published: September 2020

Purpose
The purpose of this paper is to explore development and validation of an empowering leadership instrument for salespeople.

Design/methodology/approach
In all, 20 items were developed for an empowering leadership instrument based on published research, concepts and theories. The instrument was applied as a cross-sectional study for salespeople working in small and medium enterprises. The collected data were assessed using exploratory factor analysis and confirmatory factor analysis to ascertain construct validity.

Findings
The instrument established excellent reliability at 0.904. Five factors such as “Showing concern and developing strong relationships with members”, “informing”, “coaching”, “participative decision making” and “leading by example” were extracted and validated from the exploratory and confirmatory factor analysis.

Originality/value
The validity of this questionnaire will facilitate future research to extend the boundaries of empowering leadership measurement in the context of supervision and management in organisations. This instrument will assist researchers to gain a more comprehensive understanding of empowering leadership and further investigate its potential in future studies.
Perceived threats of terrorism and helping behavior: the role of dispositional mindfulness in an ethical dilemma
Authors: Memon Ubedullah , Ali Anees Janee , Nisa Zaib Un , Pathan Zahid Hussain 
Published: September 2020

PurposeThe purpose of this paper is to curtail the negative effect of job stress on the female teachers’ helping behavior amidst terrorism threat through their dispositional mindfulness.Design/methodology/approachA quantitative research design surveyed a self-administered questionnaire from the female teachers serving in the hard areas of Pakistan. To analyze the data, descriptive and interferential statistics were performed in SPSS (version 23) and SmartPLS3.FindingsThe results revealed the significant positive relationship between teachers’ perceived threats of terrorism and their job stress. The findings also confirmed the significant negative relationship between teachers’ job stress and their helping behavior, and vice-versa. Further, the indirect effect of teachers’ perceived threats of terrorism on helping behavior through their job stress was confirmed. Finally, the moderating effect of dispositional mindfulness to weaken the negative relationship between teachers’ job stress and their helping behavior was also found significant. The results also showed that the job stress of female teachers accounted for 12.9% of variance in their helping behavior.Research limitations/implicationsTo address complex ethical issues, relying solely on a research method cannot provide deep insights. Hence, future scholars are directed to combine elements of quantitative and qualitative research methods to investigate female teachers’ helping behavior in grievous conditions. Notwithstanding, the present study revitalizes educational institutions through teachers’ helping behavior in the risky work environment.Originality/valueSince the past two decades, female education has witnessed exponential growth in terrorist attacks, but there is a scanty research on the vulnerability of female teachers in Pakistan. Nevertheless, the present study is limited yet of the highest importance to foster teachers’ helping behavior in the risky work environment.
Macroeconomic shocks and credit risk stress testing the Iranian banking sector
Authors: Abdolshah Fatemeh , Moshiri Saeed , Worthington Andrew 
Published: September 2020

PurposeThe Iranian banking industry has been greatly affected by dramatic changes in macroeconomic conditions over the past several decades owing to volatile oil revenues, changing fiscal and monetary policies, and the imposition of US sanctions. The main objective of this paper is to estimate potential credit losses in the Iranian banking sector due to macroeconomic shocks and assess the minimum economic capital requirements under the baseline and distressed scenarios. The paper also contrasts the applications of linear and nonlinear models in estimating the impacts of macroeconomic shocks on financial institutions.Design/methodology/approachThe paper uses a multistage approach to derive the portfolio loss distribution for banks. In the first step, the dynamic relationship between the selected macroeconomic variables are estimated using a VAR model to generate the stress scenarios. In the second step, the default probabilities are estimated using a quantile regression model and the results are compared with those of the conventional linear models. Finally, the default probabilities are simulated for a one-year time horizon using Monte-Carlo method and the portfolio loss distribution is calculated for hypothetical portfolios. The expected loss includes the loss given default for loans drawn randomly and uniformly distributed and exposed at default values when loans are assigned a fixed value.FindingsThe results indicate that the loss distributions under all scenarios are skewed to the right, with the linear model results being very similar to those of quantile at the 50% quantile, but very unlike those at the 10% and 90% quantiles. Specifically, the quantile model for the 90% (10%) quantile generates estimates of minimum economic capital requirement that are considerably higher (lower) than those using the linear model.Research limitations/implicationsThe study has focused on credit risk because of lack of data on other types of risk at individual bank level. The future studies can estimate the aggregate economic capital using a risk aggregation approach and a panel data (not presently available), which could further improve the accuracy of the estimates.Practical implicationsThe fiscal and monetary authorities in developing countries, specially oil-exporting countries, can follow the risk assessment approach to assess the health of their banking system and adapt policies to mitigate the impacts of large macroeconomic shocks on their financial markets.Originality/valueThis is the first paper estimating the portfolio loss distribution for the Iranian banks under turbulent macroeconomic conditions using linear and nonlinear models. The case study can be applied to other developing and emerging countries, particularly those highly dependent on natural resources, prone to extreme macroeconomic shocks.
Transforming into a platform provider: strategic options for industrial smart service providers
Authors: Beverungen Daniel , Kundisch Dennis , Wünderlich Nancy 
Published: September 2020

PurposeThe purpose of this paper is to identify strategic options and challenges that arise when an industrial firm moves from providing smart service toward providing a platform.Design/methodology/approachThis conceptual study takes on a multidisciplinary research perspective that integrates concepts, theories and insights from service management and marketing, information systems and platform economics.FindingsThe paper outlines three platform types – smart data platform, smart product platform and matching platform – as strategic options for firms that wish to evolve from smart service providers to platform providers.Research limitations/implicationsInvestigating smart service platforms calls for launching interdisciplinary research initiatives. Promising research avenues are outlined to span boundaries that separate different research disciplines today.Practical implicationsManaging a successful transition from providing smart service toward providing a platform requires making significant investments in IT, platform-related capabilities and skills, as well as implement new approaches toward relationship management and brand-building.Originality/valueThe findings described in this paper are valuable to researchers in multiple disciplines seeking to develop and to justify theory related to platforms in industrial scenarios.
Control-Oriented Modeling of Lithium-Ion Batteries
Authors: Riemann Brody J. C. , Li Jie , Adewuyi Kasim , Landers Robert G. , Park Jonghyun 
Published: September 2020

Abstract
Battery management systems (BMSs), which monitor and optimize performance while ensuring safety, require control-oriented models, i.e., models tailored to the design and implementation of estimation and control algorithms. Physics-based electrochemical models describe detailed battery phenomena, but are too computationally intensive for use in estimation and control applications. Single particle models (SPMs), which retain some of the physics of electrochemical models, are often used for control-oriented battery modeling since they are computationally efficient; however, they are only valid over very low frequency ranges and C-rates. Empirical equivalent circuit models (ECMs) are also used for control-oriented battery modeling since they are computationally efficient and can describe battery behavior over wide frequency ranges; however, they provide no physical understanding of the battery and, therefore, have limited applicability. Further, fractional order terms (e.g., Warburg impedances) are often employed, making the models unwieldy for use in the time domain. This work provides a control-oriented battery model that combines the benefits of SPM and ECM models, while overcoming their limitations. The proposed model incorporates some of the battery physics found in electrochemical models, can easily be used in both the time and frequency domains, and describes battery behavior over its entire frequency range. A linearized single particle model, which incorporates key electrochemical parameters, is used for modeling battery physics at very low frequencies. For low frequencies, integer-order linear systems are used to approximate diffusion physics described by Warburg impedances, and high frequency behavior is modeled by the double layer capacitance effect. The proposed battery model is more computationally efficient than full electrochemical models since it does not require the solution of PDEs, is accurate for a wider frequency range than the SPM considered in this paper, and does not suffer from the unwieldiness and limited applicability of empirical ECMs. The model is validated in the time and frequency domains via a comparison to pseudo-two-dimensional (P2D) model simulations and experimental data.
Hybrid Compound Function/Subinterval Perturbation Method for Kinematic Analysis of a Dual-Crane System With Large Bounded Uncertainty
Authors: Zhou Bin , Zi Bin , Li Yuan , Zhu Weidong 
Published: September 2020

Abstract
By introducing the subinterval perturbation method (SIPM), a hybrid compound function/subinterval perturbation method (HCFSPM) is presented for a dual-crane system (DCS) with large interval variables. The HCFSPM employs the SIPM to decompose a large interval variable into several subinterval variables with small uncertain levels. The interval kinematic compound function vectors and their inverses are approximated by the first-order Taylor and Neumann series, respectively. Based on the monotonic technique, the bounds of original luffing angle vectors are derived. Compared with the first-order compound function/interval perturbation method and the Monte Carlo method, numerical examples verify the effectiveness of the HCFSPM at conducting uncertain kinematic analysis of the DCS, especially when it comes to large uncertain levels.
Closed-Loop High-Fidelity Simulation Integrating Finite Element Modeling With Feedback Controls in Additive Manufacturing
Authors: Wang Dan , Chen Xu 
Published: September 2020

Abstract
A high-precision additive manufacturing (AM) process, powder bed fusion (PBF) has enabled unmatched agile manufacturing of a wide range of products from engine components to medical implants. While finite element modeling and closed-loop control have been identified key for predicting and engineering part qualities in PBF, existing results in each realm are developed in opposite computational architectures wildly different in time scale. This paper builds a first-instance closed-loop simulation framework by integrating high-fidelity finite element modeling with feedback controls originally developed for general mechatronics systems. By utilizing the output signals (e.g., melt pool width) retrieved from the finite element model (FEM) to update directly the control signals (e.g., laser power) sent to the model, the proposed closed-loop framework enables testing the limits of advanced controls in PBF and surveying the parameter space fully to generate more predictable part qualities. Along the course of formulating the framework, we verify the FEM by comparing its results with experimental and analytical solutions and then use the FEM to understand the melt-pool evolution induced by the in- and cross-layer thermomechanical interactions. From there, we build a repetitive control (RC) algorithm to attenuate variations of the melt pool width.
Static Friction Behavior of Spherical Contact With Ultrathin Soft Coating
Authors: Zhang Haibo , Etsion Izhak 
Published: September 2020

Abstract
A surprising behavior of ultrathin soft coating is described in the relevant literature showing discontinuity (sharp drop) between the static friction coefficients before and after an ultrathin soft coating is applied on a harder substrate. Existing finite element (FE) models are unable to explain this unusual behavior since they suffer from convergence problem due to excessive distortion of elements in such ultrathin films. To address this problem, an FE model based on the coupled Eulerian–Lagrangian (CEL) method is presented. This method is able to capture the unexpected behavior of ultrathin soft coatings and hence, to provide a reliable scientific explanation to the experimental observation reported in the literature.
Computation of the Alpha Cabin Sound Absorption Coefficient by Using the Finite Transfer Matrix Method (FTMM): Inter-Laboratory Test on Porous Media
Authors: Santoni Andrea , Bonfiglio Paolo , Fausti Patrizio , Pompoli Francesco 
Published: September 2020

Abstract
The transfer matrix method (TMM) has become an established and widely used approach to compute the sound absorption coefficient of a multilayer structure. Due to the assumption made by this method of laterally infinite media, it is necessary to introduce in the computation the finite-size radiation impedance of the investigated system, in order to obtain an accurate prediction of the sound absorption coefficient within the entire frequency range of interest; this is generally referred to as finite transfer matrix method (FTMM). However, it has not been extensively investigated the possibility of using the FTMM to accurately approximate the sound absorption of flat porous samples experimentally determined in an Alpha Cabin, a small reverberation room employed in the automotive industry. To this purpose, a simulation-based round robin test was organized involving academic and private research groups. Four different systems constituted by five porous materials, whose properties were experimentally characterized, were considered. Each participant, provided with all the mechanical and physical properties of each medium, was requested to simulate the sound absorption coefficient with an arbitrary chosen code, based on the FTMM. The results indicated a good accuracy of the different formulations to determine the finite-size radiation impedance. However, its implementation in the computation of the sound absorption coefficient as well as the upper limit of the range of incidence angles within which the acoustic field is simulated, and the model adopted to describe each material, significantly influenced the results.
Effect of Modal Interactions on Friction-Damped Self-Excited Vibrations
Authors: Woiwode Lukas , Gross Johann , Krack Malte 
Published: September 2020

Abstract
It is well-known that nonlinear dry friction damping has the potential to bound the otherwise unboundedly growing vibrations of self-excited structures. An important technical example are the flutter-induced friction-damped limit cycle oscillations of turbomachinery blade rows. Due to symmetries, natural frequencies are inevitably closely spaced, and they can generally be multiples of each other. Not much is known on the nonlinear dynamics of self-excited friction-damped systems in the presence of such internal resonances. In this work, we analyze this situation numerically by regarding a two degrees-of-freedom system. We demonstrate that in the case of closely-spaced natural frequencies, the self-excitation of the lower-frequency mode gives rise to non-periodic oscillations, and the occurrence of unbounded behavior well before reaching the maximum friction damping value. If the system is close to a 1:3 internal resonance, limit cycles associated with much higher frictional damping appear, however, most of these are unstable. If more than one mode is subjected to self-excitation, the maximum resistance against self-excitation is at least given by the damping capacity of the most weakly friction-damped mode. These results are of high technical relevance, as the prevailing practice is to analyze only periodic limit states and argue the stability solely by the slope of the damping-amplitude curve. Our results demonstrate that this practice leads to considerable mis- and overestimation of the resistance against self-excitation, and a more rigorous stability analysis is required.
Association between night-shift work, sleep quality and health-related quality of life: a cross-sectional study among manufacturing workers in a middle-income setting
Authors: Lim Yin Cheng , Hoe Victor C. W. , Darus Azlan , Bhoo-Pathy Nirmala 
Published: September 2020

ObjectivesNight-shift work may adversely affect health. This study aimed to determine the impact of night-shift work on health-related quality of life (HRQoL), and to assess whether sleep quality was a mediating factor.DesignA cross-sectional study.Setting11 manufacturing factories in Malaysia.Participants177 night-shift workers aged 40–65 years old were compared with 317 non-night-shift workers.Primary and secondary outcomesParticipants completed a self-administered questionnaire on socio-demographics and lifestyle factors, 12-item Short Form Health Survey V.2 (SF-12v2) and the Pittsburgh Sleep Quality Index (PSQI). The Baron and Kenny’s method, Sobel test and multiple mediation model with bootstrapping were applied to determine whether PSQI score or its components mediated the association between night-shift work and HRQoL.ResultsNight-shift work was associated with sleep impairment and HRQoL. Night-shift workers had significantly lower mean scores in all the eight SF-12 domains (p<0.001). Compared with non-night-shift workers, night-shift workers were significantly more likely to report poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction (p<0.001). Mediation analyses showed that PSQI global score mediated the association between night-shift work and HRQoL. ‘Subjective sleep quality’ (indirect effect=−0.24, SE=0.14 and bias corrected (BC) 95% CI −0.58 to −0.01) and ‘sleep disturbances’ (indirect effect=−0.79, SE=0.22 and BC 95% CI −1.30 to −0.42) were mediators for the association between night-shift work and physical well-being, whereas ‘sleep latency’ (indirect effect=−0.51, SE=0.21 and BC 95% CI −1.02 to −0.16) and ‘daytime dysfunction’ (indirect effect=−1.11, SE=0.32 and BC 95% CI −1.86 to −0.58) were mediators with respect to mental well-being.ConclusionSleep quality partially explains the association between night-shift work and poorer HRQoL. Organisations should treat the sleep quality of night-shift workers as a top priority area for action to improve their employees’ overall wellbeing.
HPV vaccination and Native Americans: protocol for a systematic review of factors associated with HPV vaccine uptake among American Indians and Alaska Natives in the USA
Authors: Gopalani Sameer Vali , Sedani Ami E , Janitz Amanda E , Clifton Shari C , Stoner Julie , Peck Jennifer , Comiford Ashley , Salvatore Alicia L , Campbell Janis 
Published: September 2020

IntroductionThe nine-valent human papillomavirus (HPV) vaccine could prevent an estimated 92% of the cancers attributable to HPV types targeted by the vaccine. However, uptake of the HPV vaccine among American Indian and Alaska Native (AI/AN) adolescents has been low. AI/ANs also bear a disproportionate burden of cervical and other HPV-associated cancers. Increasing HPV vaccination rates is a national priority, but reviews and national surveys on HPV vaccination factors are lacking for the AI/AN population. The objective of this systematic review is to assess factors associated with HPV vaccination among AI/ANs in the USA.Methods and analysisA systematic review is proposed to synthesise the current literature on HPV vaccination factors in AI/ANs from 1 July 2006 until 30 September 2019. As applicable, controlled vocabulary terms, keywords and special features (eg, limits, explode and focus) will be incorporated into database searches. To maximise the identification of relevant studies, citation indexes and databases that index dissertations, preprints and grey literature are included. Studies will be screened and selected independently in two stages. In stage 1, titles and abstracts will be screened. In stage 2, full-text articles will be screened and selected. A data extraction form and quality assessment tool will be piloted, revised and implemented. If available, measures of frequency and association will be presented. A narrative synthesis of the included studies will also be undertaken and reported.Ethics and disseminationAs our review will use publicly available data and publications, an Institutional Review Board review will not be required. We will disseminate the findings from this review through peer-reviewed publication(s) and conference presentation(s).Potential amendmentsIn the event of amendments to the protocol, we will provide the date, rationale, and description of the change for each amendment.PROSPERO registration numberCRD42020156865.