bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green product innovation and competitive advantage: an empirical study of chemical industrial plants in Jordanian qualified industrial zones
Authors: Al-Abdallah Ghaith M. , Al-Salim Majda I. 
Published: March 2021

PurposeGreen product innovation is a global industrial concern. This research examines the possible impact of green product innovation on firms' competitive advantage in industrial enterprises operating in qualified industrial zones (QIZs).Design/methodology/approachThis research follows a descriptive analytical methodology, testing two hypotheses formulated based on the reviewed literature among chemical industrial plants of the three Jordanian QIZs (Amman, Zarqa and Irbid) in Jordan. Following a preliminary scoping study of all 219 Jordanian chemical manufacturers, a quantitative five-point Likert scale questionnaire was administered to firms applying green product activities.FindingsIn total, 20 firms were found to be utilizing green product innovation, representing only 9.13% of the overall population. The hypothesis testing results indicated that green product innovation has a statistically significant positive impact on competitive advantage. The results also showed that the factor “firm resources” has a statistically significant positive moderation effect on the relationship between green product innovation and competitive advantage.Research limitations/implicationsThe vast majority of Jordanian chemical manufacturers were not implementing green innovation or practices; further study is needed to identify barriers. Findings are limited to managers of chemical industrial plants in Jordan, excluding the demand side (e.g. plant customers who purchase final products), which leaves a different research angle to be explored.Originality/valueThis is a pioneering study of green product innovation implications for firm competitive advantage in manufacturing enterprises, especially in QIZs of Jordan (which offer tax exemptions to foreign and local investors and sell products to regional and international markets).
Careers in the Greek public sector: calibrating the kaleidoscope
Authors: Mouratidou Maria , Grabarski Mirit K. 
Published: March 2021

PurposeThe authors draw upon the kaleidoscope career model (KCM) to explore the career perceptions of public service employees in Greece.Design/methodology/approachQualitative semistructured interviews were conducted with 33 civil servants.FindingsThe authors’ demonstrate how context frames career perceptions and propose an additional KCM parameter (security).Research limitations/implicationsThis context-based study proposes an extension of the KCM theory beyond the original three parameters that were dominant at its inception.Practical implicationsThe authors provide recommendations for human resource practices, such as empowerment through training, fair promotions and providing meaning. Despite the common perception, the need for challenge exists even within the public sector, such that satisfying it can help organizations to gain strategic advantage.Originality/valueThis study expands a prominent career theory by exploring it in a unique context. By doing that, the authors are able to better understand how the parameters of the model are readjusted in different settings and to uncover a previously unidentified theme.
G-GERT network model of online public opinion reversal based on kernel and grey degree
Authors: Yan Shuli , Zeng Xiangyan , Xiong Pingping , Zhang Na 
Published: March 2021

PurposeIn recent years, online public opinion reversal incidents have been occurring frequently, which has increased the complexity of the evolution of online public opinion, and they have become a difficult issue for public opinion management and control. It is of great significance to explore the regularity of online public opinion reversal.Design/methodology/approachCombined with the grey characteristics of online public opinion information, a grey graphical evaluation review technique (G-GERT) network model is constructed based on kernel and grey degree, and the frequency, probability and time of online public opinion reversal nodes are calculated using C-marking method and Z-marking method.FindingsThroughout the online public opinion reversal events, there are all repeated outbreak nodes occurring, so the authors regard the repeated occurrence of outbreak nodes as reversal. According to the average frequency, probability and time of repeated outbreak nodes in the G-GERT network model, the authors predict the corresponding key information of reversal. It can simulate the evolution process of public opinion events accurately.Originality/valueThe G-GERT network model based on kernel and grey degree reveals the regulation of public opinion reversal, predicts the frequency, probability and time of reversal nodes, which are the most concerned and difficult issues for decision-makers. The model provides the decision basis and reference for government decision-making departments.
Islamic banking sustainability: theory and evidence using a novel quadruple bottom line framework
Authors: Hamidi M. Luthfi , Worthington Andrew C. 
Published: March 2021

PurposeThe study aims to extend the conventional triple bottom line (TBL) framework (prosperity, people and planet) to the quadruple bottom line (QBL) by newly adding a “prophet” dimension for Islamic banks seeking compliance with Islamic law in their pursuit of sustainability.Design/methodology/approachEmploy Chapra's corollaries of maqasid al-shari'ah (the goals of Islamic law) to develop constructs for a survey of 504 Islamic bank stakeholders from five Indonesian provinces to gather primary data to quantitatively verify the dimensions and items in the proposed QBL framework. Categorical principal component analysis (CATPCA) then identifies the sustainability of ten Islamic banks from ten countries as a trial application of the resulting QBL index.FindingsUsing the dimensions and items identified using CATPCA, the authors develop a QBL index to assess the sustainability of the ten Islamic banks. The findings suggest that half of the banks are sufficiently sustainable, with three being proactive (doing more than is required) and two being accommodative (doing all that is required). The remaining five banks are unsustainable, with two banks being defensive (doing the least that is required) and three being reactive (doing less than is required). Most of the banks perform relatively poorly according to the “planet” (38%) and “people” (41%) dimensions and perform better on the “prosperity” (53%) and “prophet” (63%) dimensions. Nonetheless, there is ample room for improvement across all dimensions of sustainability.Research limitations/implicationsThe generalizability of the findings is limited by the small-scale single-country survey used in the CATPCA part of the analysis. Only ten Islamic banks were included in the QBL scoring and ranking exercisesPractical implicationsIslamic banks can improve their sustainability by increasing green financing and reaching out to rural areas and disadvantaged populations. In countries with Islamic banking systems, regulators can support this through training, guidance and incentives.Originality/valuePioneering exploration of TBL from maqasid al-shari'ah perspective. First, we develop a QBL index to assess the sustainability of Islamic banks in line with actual stakeholder expectations.
Dynamic walking of humanoid robot on flat surface using amplified LIPM plus flywheel model
Authors: Kashyap Abhishek Kumar , Parhi Dayal R. 
Published: March 2021

PurposeHumanoid robots have complicated dynamics, and they lack dynamic stability. Despite having similarities in kinematic structure, developing a humanoid robot with robust walking is quite difficult. In this paper, an attempt to produce a robust and expected walking gait is made by using an ALO (ant lion optimization) tuned linear inverted pendulum model plus flywheel (LIPM plus flywheel).Design/methodology/approachThe LIPM plus flywheel provides the stabilized dynamic walking, which is further optimized by ALO during interaction with obstacles. It gives an ultimate turning angle, which makes the robot come closer to the obstacle and provide a turning angle that optimizes the travel length. This enhancement releases the constraint on the height of the COM (center of mass) and provides a larger stride. The framework of a sequential locomotion planer has been discussed to get the expected gait. The proposed method has been successfully tested on a simulated model and validated on the real NAO humanoid robot.FindingsThe convergence curve defends the selection of the proposed controller, and the deviation under 5% between simulation and experimental results in regards to travel length and travel time proves its robustness and efficacy. The trajectory of various joints obtained using the proposed controller is compared with the joint trajectory obtained using the default controller. The comparison shows the stable walking behavior generated by the proposed controller.Originality/valueHumanoid robots are preferred over mobile robots because they can easily imitate the behaviors of humans and can result in higher output with higher efficiency for repetitive tasks. A controller has been developed using tuning the parameters of LIPM plus flywheel by the ALO approach and implementing it in a humanoid robot. Simulations and experiments have been performed, and joint angles for various joints are calculated and compared with the default controller. The tuned controller can be implemented in various other humanoid robots
Inhibiting unethical pro-organizational behavior: harnessing the effects of responsible leadership and leader–member exchange
Authors: Inam Aneeq , Ho Jo Ann , Ng Siew Imm , Mohamed Rosmah 
Published: March 2021

PurposeLeadership styles appear to influence unethical pro-organizational behavior (UPB), but there has been little empirical research on employees' ethical behavior as an outcome of responsible leadership. This study examines the positive effect of responsible leadership on unethical pro-organizational behavior (UPB) via the mediator, leader–member exchange (LMX).Design/methodology/approachResponses from 200 full-time working employees in Pakistan were collected in two waves, and structural equation modeling was used to test the hypotheses.FindingsThe results indicated that LMX mediated the relationship between responsible leadership and UPB. Our research also yielded a negative relationship between responsible leadership and employees' willingness to engage in UPB and between LMX and UPB. In addition, the mediation and direct relationship results were stronger for employees who spent more than seven years in the organization as compared to those with less than seven years.Research limitations/implicationsThe leader's responsible behavior trickles down to the subordinates and encourages their employees to behave responsibly too. We also showed that responsible leadership influenced employees’ UPB engagement through LMX.Practical implicationsBy adopting a responsible leadership style through training practices and appraisal tools, organizations may increase quality exchange relationship between leader and subordinates, which will reduce UPB.Originality/valueThis paper is one of the few empirical studies which have examined the relationship between responsible leadership, LMX and UPB. The results from our study help to enhance findings from earlier studies on the antecedents of UPB. Contrary to previous studies, our study also shows that LMX can lead to ethical behavior i.e. reduce UPB.
The agribusiness sector as a regional export opportunity: evidence for the Vojvodina region
Authors: Matkovski Bojan , Zekić Stanislav , Jurjević Žana , Đokić Danilo 
Published: March 2021

PurposeThe purpose of this paper is to determine if the agribusiness sector can be an initiator of export on the emerging markets. For this aim, we analyzed export opportunities for the region of Vojvodina, the region in Serbia with the most potential for agribusiness.Design/methodology/approachThis paper uses the Comparative Advantage Index and the Index of Intra-industrial Integration to determine the region's level of comparative advantage and the market's level of integration on the main emerging markets.FindingsThe results show that this region has the most competitive advantages in crop production – primarily in cereals and industrial plants – but the situation is not favorable for livestock production. Because of this, comparative advantage should be used as a factor for the growth of competitiveness in the sectors for which crop products are the raw material base. At the same time, agricultural policy measures should encourage more intensive agricultural production, which could create a better foundation for progress in the food industry.Research limitations/implicationsData collected on foreign trade at the level of statistical regions is not always reliable. Also, regional and local characteristics are specific to each country, so the ability to generalize conclusions is limited.Practical implicationsThis paper provides a useful review of the agri-food sector's competitiveness and determines which agri-food segments have competitive advantages. It is essential for policymakers to identify what determinants improve or degrade the competitiveness of the region's agri-food sector.Originality/valueSince there are a limited number of studies analyzing trends of competitiveness for the region's agri-food sector, the paper will contribute to filling this gap. Furthermore, the framework is conceptually innovative in identifying the determinants that create export opportunities for the region on the international market.
Performance effects of entrepreneurial orientation, strategic intent and absorptive capacity within coopetitive relationships
Authors: Seepana Chandrasekararao , Huq Fahian Anisul , Paulraj Antony 
Published: March 2021

PurposeWhile the significance of organizational resources and capabilities is widely discussed, little is known about their interrelationships as well as benefits for firms that are involved in coopetitive relationships. Against this backdrop, the purpose of this paper is to investigate the performance effects of entrepreneurial orientation, strategic intent and potential absorptive capacity as well as their complementarity effects on operational and innovation performance for firms involved in horizontal coopetitive relationships.Design/methodology/approachDrawing upon the resource-based-view, dynamic capabilities and the relational view theories, this study forwards numerous hypotheses between the constructs of interest. The proposed hypotheses are tested utilizing survey data collected from 313 horizontal coopetitive relationships.FindingsThe results clearly suggest that entrepreneurial orientation, strategic intent and potential absorptive capacity could positively impact innovation and operational performance outcomes independently. In addition, the authors also find strategic intent and potential absorptive capacity to have differential moderating effects on the relationships between entrepreneurial orientation and the performance outcomes.Originality/valueThe findings suggest that although strategic intent and potential absorptive capacity could lead to performance benefits independently, when it comes to coopetitive relationships, the use of both these capabilities may not substantially increase the positive impact of entrepreneurial orientation on performance outcomes. Specifically, given that these capabilities could intensify competitiveness as well as hostility between partners, they seem to affect the firm's performance differently.
Multiscale convolutional neural network and decision fusion for rolling bearing fault diagnosis
Authors: Lv Defeng , Wang Huawei , Che Changchang 
Published: March 2021

Purpose
The purpose of this study is to achieve an accurate intelligent fault diagnosis of rolling bearing.

Design/methodology/approach
To extract deep features of the original vibration signal and improve the generalization ability and robustness of the fault diagnosis model, this paper proposes a fault diagnosis method of rolling bearing based on multiscale convolutional neural network (MCNN) and decision fusion. The original vibration signals are normalized and matrixed to form grayscale image samples. In addition, multiscale samples can be achieved by convoluting these samples with different convolution kernels. Subsequently, MCNN is constructed for fault diagnosis. The results of MCNN are put into a data fusion model to obtain comprehensive fault diagnosis results.

Findings
The bearing data sets with multiple multivariate time series are used to testify the effectiveness of the proposed method. The proposed model can achieve 99.8% accuracy of fault diagnosis. Based on MCNN and decision fusion, the accuracy can be improved by 0.7%–3.4% compared with other models.

Originality/value
The proposed model can extract deep general features of vibration signals by MCNN and obtained robust fault diagnosis results based on the decision fusion model. For a long time series of vibration signals with noise, the proposed model can still achieve accurate fault diagnosis.
Ultra-high-speed TEHL characteristics of T-groove face seal under supercritical CO2 condition
Authors: Zhu Delei , Bai Shaoxian 
Published: March 2021

Purpose
The purpose of this paper is to acquire sealing properties of supercritical CO2 (S-CO2) T-groove seal under ultra-high-speed conditions by thermo-elastohydrodynamic lubrication (TEHL) analysis.

Design/methodology/approach
Considering the choked flow effect, the finite difference method is applied to solve the gas state equation, Reynolds equation and energy equation. The temperature, pressure and viscosity distributions of the lubricating film are analyzed, and sealing characteristics is also obtained.

Findings
The face distortions induced by increasing rotational speed leads to the convergent face seal gap. When the linear velocity of rotation exceeds 400 m/s, the maximum temperature difference of the sealing film is approximately 140 K, and the viscosity of CO2 is altered by 17.80%. Near the critical temperature point of CO2, while the seal temperature increases by 50 K, the opening force of the T-groove non-contact seal enhances by 20% and the leakage rate declines by 80%.

Originality/value
The TEHL characteristics of the T-groove non-contact seal are numerically analyzed under ultra-high-speed, considering the real gas effect and choked flow effect. In the supercritical conditions, the influence of rotational speed, seal temperature, seal pressure and film thickness on sealing performance and face distortions is analyzed.
Shared mental models and perceived proximity: a comparative case study
Authors: Zamani Efpraxia D. , Pouloudi Nancy 
Published: March 2021

PurposeThe aim of this study is to understand how virtual teams experience perceived proximity. Existing literature suggests that perceived proximity can be achieved through quality communication and increased identification. However, not much is known as to how these two may be achieved within the context of virtual teams.Design/methodology/approachThe authors address their research question through a comparative case study, with the help of two virtual teams of software developers and the authors adopt a subset from the Constructivist Grounded Theory Method procedures for the purposes of coding to understand the potential explanations regarding the two teams' differences in perceptions of perceived proximity.FindingsThe authors’ study shows that shared mental models support quality communication and team members to identify with the shared values of their team. Quality communication is easier achieved when the team shares a dynamic and evolving understanding of the tools for communication and collaboration. The authors also draw attention to the importance of how work is organised and the influence of the temporal dimension on virtual teams beyond the temporal organisation of collaborative work.Originality/valueThe value of this study is found in its contribution towards the development of a formal connection between perceived proximity and shared mental models, that is empirically grounded, and which holds an explanatory value in addressing how perceived proximity can be supported rather than compromised.
Liability rules for autonomous vehicles
Authors: Epstein Richard A. 
Published: March 2021

PurposeThe coming use of autonomous vehicles has kindled an extensive debate over the choice of a desirable liability regime. This article contributes to that debate by explaining how rules for liability and damages ought to be constructed to deal first with stranger (including highway) cases and then with consensual cases (like medical malpractice). It concludes that an output regime based on events as they unfold is applicable in the former but not in the latter. It then argues that this legal regime carries over without a hitch to autonomous vehicles. It then further notes that in private disputes there are no fixed rules for deciding how to mix rules for injunctions and liabilities for threatened harms, and further notes that the regulatory regime for IoT will face those same difficulties, which are best solved by trying to minimize the sum of Type I and Type II errors, as in other cases.Design/methodology/approachLegal reasoning/analysis.FindingsOne salient point is that the rules of the road should change in response to technical innovation, but liability rules should not. The sound approach for dealing with damages for past incidents ought to be constructed to deal first with stranger (including highway) cases in which there is a dichotomous decision on compliance or not. That regime is based on events as they unfold, and carries over without a hitch to autonomous vehicles. For dealing with the prevention of future harms from violation of these rules, by contrast, there are no fixed rules for deciding how to mix damages with injunction, and the substitution of a system of direct state enforcement faces the same difficulties of implementation. In both settings, the rules of the road should be held constant, after which the ideal remedial mix follows the traditional approach of trying to minimize the sum of Type I and Type II errors, relating to over and underenforcement. The basic rules of tort liability stand in contrast to the different standards of liability that arise in consensual situations, and in all cases, they must necessarily be supplemented by rules of vicarious and product liability. Overall, the bottom line is this: autonomous vehicle innovations are relevant to designing regulations for future and uncertain harms, but irrelevant to liability for past harms.Originality/valueThis is an original legal analysis on the topic of Autonomous Vehicles.