bluuebunny/crossref_metadata_2025_split huggingface dataset:
Authentic leadership and creativity
Authors: Chaudhary Richa , Panda Chinmay 
Published: October 2018

PurposeThe purpose of this paper is to develop and test a conceptual model which explains whether and how authentic leadership, through psychological meaningfulness, safety and work engagement, influences employee creativity. The authors delineate two pathways from authentic leadership to work engagement, which in turn foster creativity. The first pathway illuminates how authentic leadership generates psychological meaningfulness which enhances work engagement and creativity subsequently, while the second elucidates the indirect impact of authentic leadership on creativity via psychological safety and work engagement.Design/methodology/approachData were collected from 300 employees working in heavy engineering and automobile industry in India. Regression analysis was used to analyze data with the help of SPSS 24. Serial mediation effects were tested with the help of bootstrapping procedures using SPSS process macro (Hayes, 2013).FindingsPsychological meaningfulness and work engagement were found to mediate the relationship of authentic leadership with creativity both independently and in series. Psychological safety failed to transfer the effect of authentic leadership on both work engagement and creativity.Practical implicationsOrganizations may reap the benefits of a creative and engaged workforce by selecting, nurturing and developing authentic leaders.Originality/valueThe study contributes to theory building in the area of authentic leadership by enriching the understanding of the processes carrying the effect of authentic leadership on desirable workplace outcomes. In doing so, the study also explicates the less understood nature of relationship between leadership and creativity.
Assessing Egyptian construction projects performance using principal component analysis
Authors: Marzouk Mohamed Mahdy , Gaid Emad Fayez 
Published: October 2018

Purpose
The construction sector is a major contributor to the Egyptian economy and gross domestic products, plus considered as one of its fastest-growing sectors. Various deficiencies such as low productivity, delays, cost overrun, poor quality, etc. have plagued the construction sector, leading to undesirable project performance across Egypt and several other countries. One of the best methods to measure and improve performance evaluation and consequently a step toward industry improvement is key performance indicators (KPIs). The paper aims to discuss this issue.

Design/methodology/approach
A questionnaire survey was conducted to identify the importance index for 35 KPIs. The KPIs were identified and selected based on an extensive literature review and one on one interview with expert construction professionals. Moreover, exploratory factor analysis method has been used to analyze and determine the inter-relationships between the set of indicators.

Findings
Seven indicators that have the highest importance indicator were selected to create project overall performance indicator assessment models to consistently measure the performance of different construction projects. Seven equations are introduced reflecting the output of the research while considering both organization size and project type.

Practical implications
The proposed evaluation assessment models can be used to: evaluate the relative success of projects; indicate the areas of strengths and weaknesses in performance and establish company benchmarking. Three projects were selected to validate the performance evaluation models.

Originality/value
This paper provides mathematical assessment models for evaluating overall construction project performance in Egypt, taking into consideration organization size and project type. Previously published research works on the subject matter are quite limited, and frequently deal with only one or two selected aspects.
The impacts of leadership support and coworker support on employee creative behavior
Authors: Zaitouni Michel , Ouakouak Mohamed Laid 
Published: October 2018

PurposePrevious research has emphasized how leadership style and collegial relationships can foster creativity in the workplace; in a related sense, understanding how support from leaders and coworkers affect the creativity process is critical too. Therefore, the purpose of this paper is to seek a deeper understanding of how leadership support and coworker support influence employee creativity.Design/methodology/approachA quantitative study was conducted among 299 employees working at eight organizations in a non-western country.FindingsThe results of this research revealed that both leadership support and coworker support exert positive influences on employee creativity, moderated by several additional variables. Specifically, employee engagement and tenure both strengthen the relationship of leadership support with employee creativity. Furthermore, individual creativity has a positive impact on job performance.Research limitations/implicationsThese findings offer theoretical and practical implications, as well as directions for further researchOriginality/valueThis research examined the impacts of leadership support and coworker support on employee creative behavior and individual performance. To better understand the nature of these impacts, the authors introduced two moderators such as employee engagement and tenure. To the best of our knowledge, there are no empirical evidences regarding whether and how leadership support and coworker support interact with employee engagement and tenure to influence employee creative behavior and individual performance.
Availability analysis of distillery plant using petri nets
Authors: Bahl Ankur , Sachdeva Anish , Garg Rajiv Kumar 
Published: October 2018

Purpose
The purpose of this paper is to prepare a methodology to evaluate availability analysis of distillery plant using Petri nets (PN). The effect of various failures, repair rate and availability of repair facilities on the system has been studied.

Design/methodology/approach
The PN model of a system is developed to study the dynamic behavior of the system under various working conditions. Availability analysis of the plant is presented taking into consideration of failure and repair rates of their subsystems and has been carried out using Monte Carlo simulation.

Findings
The bottle washing machine is the most critical machine from a maintenance point of view which has more compact on the system performance as compared to other machines. The availability analysis of distillery plant helps the management to adopt a suitable maintenance policy to improve upon plant production and plant availability.

Originality/value
The application of this proposed PN-based approach is very useful in finding the most critical subsystem and its effect on the performance of the system in terms of availability and plant production. Further, the advantage of the PN approach is that dynamic behavior of the system under consideration is modeled with graphic representation of the system and given distribution can be associated with the subsystems for analysis. The superiority of this approach over others, such as network, fault tree and Markov analysis, is outlined in the paper.
Optimizing replacement time for mining shovel teeth using reliability analysis and Markov chain Monte Carlo simulation
Authors: Sembakutti Dilip , Ardian Aldin , Kumral Mustafa , Sasmito Agus Pulung 
Published: October 2018

Purpose
The purpose of this paper is twofold: an approach is proposed to determine the optimum replacement time for shovel teeth; and a risk-quantification approached is developed to derive a confidence interval for replacement time.

Design/methodology/approach
The risk-quantification approach is based on a combination of Monte Carlo simulation and Markov chain. Monte Carlo simulation whereby the wear of shovel teeth is probabilistically monitored over time is used.

Findings
Results show that a proper replacement strategy has potential to increase operation efficiency and the uncertainties associated with this strategy can be managed.

Research limitations/implications
The failure time distribution of a tooth is assumed to remain “identically distributed and independent.” Planned tooth replacements are always done when the shovel is not in operation (e.g. between a shift change).

Practical implications
The proposed approach can be effectively used to determine a replacement strategy, along with the level of confidence level, for preventive maintenance planning.

Originality/value
The originality of the paper rests on developing a novel approach to monitor wear on mining shovels probabilistically. Uncertainty associated with production targets is quantified.
THz spectroscopy for inspection and evaluation of internal structure of sandwich samples
Authors: Mieloszyk Magdalena , Majewska Katarzyna , Ostachowicz Wieslaw 
Published: October 2018

Purpose
The purpose of this paper is to discuss the application of THz spectroscopy for the inspection and evaluation of the internal structure of complex samples with honeycomb fillers.

Design/methodology/approach
Three complex samples with honeycomb fillers are investigated using THz spectrometer in order to determine the applicability of chosen non-destructive method for the analysis of internal structure of structural components. The first analysed sample has aluminium honeycomb filler with some cells filled with water. The aim of the analysis is to distinguish empty and full cells. The other two sandwich samples are made of different non-metallic components and for them the possibility of THz spectroscopy application is analysed.

Findings
The empty and full cells in metal honeycomb filler were easily distinguished due to different absorption coefficients of electromagnetic waves in THz range for air and water. It was especially visible for frequency domain. The THz spectroscopy was able to inspect the non-metallic samples internal structures and distinguish skins (with layers), honeycomb fillers and adhesive layers between them. It was also possible to detect, localise and determine the size of a local damage of honeycomb walls due to impact influence.

Originality/value
The present study is an original research work. There are very limited literature papers which present analyses of internal structures of sandwich elements using THz spectroscopy and investigate utility of the method for mechanical damage and contamination (water) detection and localisation.
Designs of low frictional coefficients for joint bearings by inlaying graphites and liquid spraying of MoS2
Authors: Cao Jun , Yin Zhongwei 
Published: October 2018

Purpose
The purpose of this paper is to solve the problem of joint bearings that cannot work in high temperature because of their high frictional coefficients.

Design/methodology/approach
Two methods of inlaying graphites and liquid spraying of MoS2 are designed. The arrangement of graphites is shown and its frictional coefficients (COFs) are discussed. MoS2 coating is deposited by liquid spraying. The ingredients of liquid spraying of MoS2 are illustrated. Stresses, structure deformations and fatigue life are analyzed by finite element analysis.

Findings
Results show that both two designed methods can decrease COFs effectively. All stresses are in the limit of the maximum permissible stresses. The new designed bearings can be safety worked in sealed and high temperature environment which are proved by fatigue analyses.

Practical implications
Two new designs can help joint bearings work in nuclear plants because of their low COFs and litter wear. The new designs can improve bearings life.

Originality/value
Two methods of decreasing COFs of joint bearings are designed in this paper. The technologies are illustrated. The proper scopes of applications of two designed methods are discussed.
A two-level optimized graph-based simultaneous localization and mapping algorithm
Authors: Xiong Hui , Chen Youping , Li Xiaoping , Chen Bing 
Published: October 2018

Purpose
Because submaps including a subset of the global map contain more environmental information, submap-based graph simultaneous localization and mapping (SLAM) has been studied by many researchers. In most of those studies, helpful environmental information was not taken into consideration when designed the termination criterion of the submap construction process. After optimizing the graph, cumulative error within the submaps was also ignored. To address those problems, this paper aims to propose a two-level optimized graph-based SLAM algorithm.

Design/methodology/approach
Submaps are updated by extended Kalman filter SLAM while no geometric-shaped landmark models are needed; raw laser scans are treated as landmarks. A more reasonable criterion called the uncertainty index is proposed to combine with the size of the submap to terminate the submap construction process. After a submap is completed and a loop closure is found, a two-level optimization process is performed to minimize the loop closure error and the accumulated error within the submaps.

Findings
Simulation and experimental results indicate that the estimated error of the proposed algorithm is small, and the maps generated are consistent whether in global or local.

Practical implications
The proposed method is robust to sparse pedestrians and can be adapted to most indoor environments.

Originality/value
In this paper, a two-level optimized graph-based SLAM algorithm is proposed.
How groups of nursing home residents respond to “the CRDL”: a pilot study
Authors: Luyten Tom , Braun Susy , van Hooren Susan , de Witte Luc 
Published: October 2018

Purpose
The purpose of this paper is to describe whether and how groups of nursing home residents respond to the interactive device “the CRDL”. The CRDL can translate touches between people into sounds. It recognises the type of touch and adjusts the produced sound accordingly.

Design/methodology/approach
This was as an observational explorative study. Responses were coded and analysed using an existing theoretical framework.

Findings
The CRDL creates an atmosphere of playfulness and curiosity. It lowers the threshold to touch, provides an incentive to touch and encourages experimentation with different types of touches on arms and hands. The sounds the CRDL produces sometimes trigger memories and provide themes to start and support conversation. Involving a (large) group of nursing home residents to interact with the CRDL is challenging.

Research limitations/implications
In order to more fully understand the potential of the CRDL, its use should be studied in different group and individual sessions and the effects of tailored content, adjusted to individual preferences and/or stages of cognition should be explored. Finally, the effects of using the CRDL on the general wellbeing of nursing home residents should be studied.

Practical implications
The CRDL can help caregivers to use touch to make contact with (groups of their) residents. A session should be guided by an experienced caregiver. Some familiarisation and practice with the CRDL are recommended and a quiet environment is advised.

Originality/value
This paper demonstrates the potential of interactive objects, such as the CRDL, in the nursing home.
Risk reporting appraisal in post-revolutionary Tunisia
Authors: Hemrit Wael 
Published: October 2018

PurposeThis paper aims to investigate the determinants of operational and liquidity risk reporting for the Tunisian insurance and banking sectors after the outbreak of the Tunisian revolution on 14 January 2011.Design/methodology/approachA manual content analysis approach was used to measure risk disclosure by counting the number of risk-related words within risk-related sentences in a wide range of publications.FindingsThe results show that operational risk disclosure is associated positively with operational losses frequency, institution size and the proportion of independent non-executive members of the board of directors. Also, board size is found to be negatively associated with risk disclosure. Moreover, net stable funding ratio, size and proportion of independent non-executive members have a positive effect on liquidity risk disclosure. The authors also discover that infrequency of board meetings and the presence of young members on the board increase the extent of liquidity risk information.Research limitations/implicationsThe research focuses on a small number of observations which somewhat restrict the generalization of results to the entire class of financial sector in Tunisia. Also, the qualitative character of some supposed explanatory variables (frequency and severity of operational risk) relies heavily on the experiences of interviewees and their basic perceptions.Practical implicationsInvestors might do well to rely on such characteristics (large board size, less active board and a high proportion of non-executive directors) to predict the disclosure of risk information, either operational or liquidity risk. Board members should keep an eye on reporting on risk, by promoting the success keys of governance, because good corporate governance has to be recognizable at first to be an effective value driver.Originality/valueThe findings rationalize the debate over the impact of improved corporate governance on risk disclosure practices within the context of the Tunisian revolution. The logic of this rationalization may help to promote political incentives that will encourage a risk management culture based on a dynamic communication framework.
Markov probabilistic decision making of self-driving cars in highway with random traffic flow: a simulation study
Authors: Guan Yang , Li Shengbo Eben , Duan Jingliang , Wang Wenjun , Cheng Bo 
Published: October 2018

Purpose
Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model policies for different driving situations.

Design/methodology/approach
In this research, a probabilistic decision-making method based on the Markov decision process (MDP) is proposed to deduce the optimal maneuver automatically in a two-lane highway scenario without using any human data. The decision-making issues in a traffic environment are formulated as the MDP by defining basic elements including states, actions and basic models. Transition and reward models are defined by using a complete prediction model of the surrounding cars. An optimal policy was deduced using a dynamic programing method and evaluated under a two-dimensional simulation environment.

Findings
Results show that, at the given scenario, the self-driving car maintained safety and efficiency with the proposed policy.

Originality/value
This paper presents a framework used to derive a driving policy for self-driving cars without relying on any human driving data or rules modeled by hand.
From laurels to learners: leadership with virtue
Authors: Antonacopoulou Elena , Bento Regina F. 
Published: October 2018

Purpose
The purpose of this paper is to present a new approach to leadership development founded on the principle of the Leader-as-Learner: a reflective human who pursues the 4C – virtues of courage, commitment, confidence and curiosity, rather than the laurels of traditional approaches of heroic leadership.

Design/methodology/approach
Exploring art-based methods and fostering a new approach to leadership development: Leaders-as-Learners.

Findings
In this paper, studies and theoretical findings from the literature are discussed.

Research limitations/implications
This paper includes extending life stories and modes of learning by projecting possible selves as leaders, to learn the daily practice of leadership.

Practical implications
Leadership involves not only the art of judgment but refines it through a learning orientation to confront volatility, uncertainty, complexity and ambiguity conditions.

Social implications
Leadership is not limited to organizations and in relation to work practices. It is a central aspect in all social affairs and integral to building societies which serve, through leaders, the common good.

Originality/value
An approach to leadership development that supports human flourishing and locates leadership among ordinary people who do extra-ordinary things.
What determines customers’ engagement in the digital service process?
Authors: Saunila Minna , Ukko Juhani , Rantala Tero 
Published: October 2018

Purpose
The purpose of this paper is to examine customer engagement behavior (CEB) in digital environments. Specifically, the paper seeks to determine the factors that affect CEB in the different parts of the digital service process.

Design/methodology/approach
A longitudinal, qualitative, single-case study is used to examine CEB in digital environments. The selected case company is a provider of streaming TV services. Both primary data, gathered from interviews, focus groups and participant observations in meetings with a selected focus group, and secondary data, gathered from company websites sources, were used.

Findings
This study shows that CEB is determined by different factors in different phases of the digital service process. Moreover, the results show that engagement is highlighted during the front-end phase of the process. During the back-end phase, the role of engagement is realized by maintaining and updating solutions.

Originality/value
The originality of the research is based on the study of CEB in the context of the digital service process. The factors that affect CEB are classified as customer-based, firm-based and context-based factors.
Detection of phishing websites using a novel twofold ensemble model
Authors: Nagaraj Kalyan , Bhattacharjee Biplab , Sridhar Amulyashree , GS Sharvani 
Published: October 2018

PurposePhishing is one of the major threats affecting businesses worldwide in current times. Organizations and customers face the hazards arising out of phishing attacks because of anonymous access to vulnerable details. Such attacks often result in substantial financial losses. Thus, there is a need for effective intrusion detection techniques to identify and possibly nullify the effects of phishing. Classifying phishing and non-phishing web content is a critical task in information security protocols, and full-proof mechanisms have yet to be implemented in practice. The purpose of the current study is to present an ensemble machine learning model for classifying phishing websites.Design/methodology/approachA publicly available data set comprising 10,068 instances of phishing and legitimate websites was used to build the classifier model. Feature extraction was performed by deploying a group of methods, and relevant features extracted were used for building the model. A twofold ensemble learner was developed by integrating results from random forest (RF) classifier, fed into a feedforward neural network (NN). Performance of the ensemble classifier was validated using k-fold cross-validation. The twofold ensemble learner was implemented as a user-friendly, interactive decision support system for classifying websites as phishing or legitimate ones.FindingsExperimental simulations were performed to access and compare the performance of the ensemble classifiers. The statistical tests estimated that RF_NN model gave superior performance with an accuracy of 93.41 per cent and minimal mean squared error of 0.000026.Research limitations/implicationsThe research data set used in this study is publically available and easy to analyze. Comparative analysis with other real-time data sets of recent origin must be performed to ensure generalization of the model against various security breaches. Different variants of phishing threats must be detected rather than focusing particularly toward phishing website detection.Originality/valueThe twofold ensemble model is not applied for classification of phishing websites in any previous studies as per the knowledge of authors.