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Article

Wei Quan, Bikun Chen and Fei Shu

The purpose of this paper is to present the landscape of the cash-per-publication reward policy in China and reveal its trend since the late 1990s.

Abstract

Purpose

The purpose of this paper is to present the landscape of the cash-per-publication reward policy in China and reveal its trend since the late 1990s.

Design/methodology/approach

This study is based on the analysis of 168 university documents regarding the cash-per-publication reward policy at 100 Chinese universities.

Findings

Chinese universities offer cash rewards from USD30 to USD165,000 for papers published in journals indexed by Web of Science, and the average reward amount has been increasing for the past ten years.

Originality/value

The cash-per-publication reward policy in China has never been systematically studied and investigated before except for in some case studies. This is the first paper that reveals the landscape of the cash-per-publication reward policy in China.

Details

Aslib Journal of Information Management, vol. 69 no. 5
Type: Research Article
ISSN: 2050-3806

Keywords

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Article

Wai Kwan Lau, Loan N.T. Pham and Lam Dang Nguyen

The purpose of this paper is to lay the necessary conceptual and empirical groundwork that advances knowledge about paternalistic leadership (PL). PL is reinterpreted as a…

Abstract

Purpose

The purpose of this paper is to lay the necessary conceptual and empirical groundwork that advances knowledge about paternalistic leadership (PL). PL is reinterpreted as a leadership style consisting of authoritative, moral and benevolent leadership. The mediating role of trust is examined, and a formal, unified construct model of PL is suggested through evidence of construct validity.

Design/methodology/approach

An on-site survey was used to collect data from 312 full-time employees in nine organizations in China. Factor analysis, reliability and validity test, and an analysis of bivariate correlations were conducted.

Findings

The new construct of PL achieved a positive alignment and coherence among the three dimensions. Subordinates’ trust was found to be critical for paternalistic leaders to be perceived as effective leaders.

Research limitations/implications

Leadership and its effectiveness were examined only at the dyadic level. The levels of the supervisors and their effectiveness differ because some were from middle management, whereas others were from first line managers.

Practical implications

Trust is an important explanatory mechanism for the relationship between PL and employee performance, especially in China. It is a key factor that creates loyalty and builds a good relationship between leaders and subordinates.

Social implications

Trust signals a strong sense of sharing within the relationship. It induces positive emotional feelings in their leader by the subordinates and, therefore, taps into positive evaluations about the effectiveness of their leader.

Originality/value

This study developed the theoretical underpinnings and provided measurement instruments for PL. It offered a formal, unified construct model of PL.

Details

Leadership & Organization Development Journal, vol. 40 no. 7
Type: Research Article
ISSN: 0143-7739

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Article

Mayank Sadana and Dipasha Sharma

This paper aims to analyse how the top over-the-top (OTT) platform is becoming a preferred source of entertainment amongst young consumers over traditional Pay TV service…

Abstract

Purpose

This paper aims to analyse how the top over-the-top (OTT) platform is becoming a preferred source of entertainment amongst young consumers over traditional Pay TV service (Cable TV/DTH) in India and what factors play a vital role in such preferences along with gamification of content. The study follows the theoretical framework of use and gratifications theory and Niche analysis.

Design/methodology/approach

The study establishes a conceptual framework of understanding the preference of consumers, which triggers the shift from old media to new. This research develops an approach to understanding the relevant implications in responses of consumers through a structured online survey conducted amongst different age groups by applying exploratory and confirmatory factor analysis. To further comprehend the relations between measured variables and constructs, the statistical technique is incorporated, i.e. logistic regression.

Findings

Empirical results and discussion insinuated the five factors which affect consumers’ choices concerning entertainment i.e. content and viewing behaviour, expenses incurred on services, shifts influenced by offerings/incentives, convenience and telecom. Logistic regression validated the strength of these factors which made content and viewing behaviour, expenses incurred on services and convenience the three most important factors.

Research limitations/implications

This study analyses the driving factors that are revolutionising the entertainment industry and can be applied in designing a comfortable and engaging experience for a consumer in the future.

Originality/value

This research is original in nature and the findings of this study are valuable for online streaming services, video-on-demand services, Cable TV operators and entertainment content producers.

Details

Young Consumers, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1747-3616

Keywords

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Article

Xiting Wu, Qun CAO, Xiaoping Tan and Liang Li

This paper aims to examine the relationship between the audit of outgoing leading officials' natural resource accountability and environmental governance, as well as the…

Abstract

Purpose

This paper aims to examine the relationship between the audit of outgoing leading officials' natural resource accountability and environmental governance, as well as the internal mechanism of audit of outgoing leading officials' natural resource accountability that plays a role in national environmental governance.

Design/methodology/approach

Based on city-level panel data from 2012 to 2015, this paper adopts a difference-in-difference model to examine the role of government audit in national governance from an environmental perspective. Furthermore, using a mediating effect model, the study sheds light on the internal mechanism of audit of outgoing leading officials’ natural resource accountability that plays a role in national environmental governance.

Findings

This paper finds that: the implementation of the audit of outgoing leading officials’ natural resource accountability has significantly improved the water quality of the pilot area, but its effects on waste gas and smoke are not obvious; environmental supervision partly plays a mediating role in the improvement of regional environmental governance by the audit of outgoing leading officials’ natural resource accountability; the audit of outgoing leading officials’ natural resource accountability can complement the incentive mechanism of promotion. The older the local officials are, the more obvious the effect of the audit of outgoing leading officials’ natural resource accountability on the environmental quality of the pilot areas is.

Originality/value

This paper reveals the role of government audit from the perspective of environmental governance. It provides empirical evidence for policy regarding the audit of outgoing leading officials' natural resource accountability.

Details

Managerial Auditing Journal, vol. 35 no. 9
Type: Research Article
ISSN: 0268-6902

Keywords

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Article

Mu Shengdong, Wang Fengyu, Xiong Zhengxian, Zhuang Xiao and Zhang Lunfeng

With the advent of the web computing era, the transmission mode of the Internet of Everything has caused an explosion in data volume, which has brought severe challenges…

Abstract

Purpose

With the advent of the web computing era, the transmission mode of the Internet of Everything has caused an explosion in data volume, which has brought severe challenges to traditional routing protocols. The limitations of the existing routing protocols under the condition of rapid data growth are elaborated, and the routing problem is remodeled as a Markov decision process. this paper aims to solve the problem of high blocking probability due to the increase in data volume by combining deep reinforcement learning. Finally, the correctness of the proposed algorithm in this paper is verified by simulation.

Design/methodology/approach

The limitations of the existing routing protocols under the condition of rapid data growth are elaborated and the routing problem is remodeled as a Markov decision process. Based on this, a deep reinforcement learning method is used to select the next-hop router for each data transmission task, thereby minimizing the length of the data transmission path while avoiding data congestion.

Findings

Simulation results show that the proposed method can significantly reduce the probability of data congestion and increase network throughput.

Originality/value

This paper proposes an intelligent routing algorithm for the network congestion caused by the explosive growth of data volume in the future of the big data era. With the help of deep reinforcement learning, it is possible to dynamically select the transmission jump router according to the current network state, thereby reducing the probability of congestion and improving network throughput.

Details

International Journal of Web Information Systems, vol. 16 no. 5
Type: Research Article
ISSN: 1744-0084

Keywords

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Article

Ahmad Sarani Ali Abadi and Saeed Balochian

The purpose of this paper is to address the problem of control in a typical chaotic power system. Chaotic oscillations cannot only extremely endanger the stabilization of…

Abstract

Purpose

The purpose of this paper is to address the problem of control in a typical chaotic power system. Chaotic oscillations cannot only extremely endanger the stabilization of the power system but they can also not be controlled by adding the traditional controllers. So, the sliding mode control based on a fuzzy supervisor can sufficiently ensure perfect tracking and controlling in the presence of uncertainties. Closed-loop stability is proved using the Lyapunov stability theory. The simulation results show the effectiveness of the proposed method in damping chaotic oscillations of the power system, eliminating control signal chattering and also show less control effort in comparison with the methods considered in previous literatures.

Design/methodology/approach

The sliding mode control based on a fuzzy supervisor can sufficiently ensure perfect tracking and controlling in the presence of uncertainties. Closed-loop stability is proved using the Lyapunov stability theory.

Findings

Closed-loop stability is proved using the Lyapunov stability theory. The simulation results show the effectiveness of the proposed method in damping chaotic oscillations of power system, eliminating control signal chattering and also less control effort in comparison with the methods considered in previous literatures.

Originality/value

Main contributions of the paper are as follows: the chaotic behavior of power systems with two uncertainty parameters and tracking reference signal for the control of generator angle and the controller signal are discussed; designing sliding mode control based on a fuzzy supervisor in order to practically implement for the first time; while the generator speed is constant, the proposed controller will enable the power system to go in any desired trajectory for generator angle at first time; stability of the closed-loop sliding mode control based on the fuzzy supervisor system is proved using the Lyapunov stability theory; simulation of the proposed controller shows that the chattering is low control signal.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 10 no. 1
Type: Research Article
ISSN: 1756-378X

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Article

Maiko Kimura

The purpose of this paper is to propose a modification of the Functional Requirements for Authority Data (FRAD) model to accommodate names in non-Roman languages with…

Abstract

Purpose

The purpose of this paper is to propose a modification of the Functional Requirements for Authority Data (FRAD) model to accommodate names in non-Roman languages with diverse writing systems.

Design/methodology/approach

The model modifies and clarifies the attributes and relationships regarding non-Roman languages of the current FRAD model, based on the definitions of transliteration, transcription, and Romanization in ISO 5127:2001. The modified model overcomes the problems inherent in the current FRAD model when handling writing systems in non-Roman languages.

Findings

The proposed model clearly shows the hierarchy of Controlled Access Points (CAPs). CAPs are either based directly on names or derived from other CAPs. For name or person identification, a CAP and its derivations should be treated as a set. The proposed model also resolves ambiguity in the definition of the word transliteration in the current FRAD model.

Originality/value

By establishing new relationships and amending the attributes of the FRAD model, the proposed model better expresses personal names in non-Roman languages as well as names in western languages. It also organizes complex writing systems of non-Roman languages. The proposed model could lead to an improved format for authority data and will facilitate international sharing of data.

Details

Journal of Documentation, vol. 71 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

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Article

Rudolf Espada, Armando Apan and Kevin McDougall

The purpose of this paper was to develop an integrated framework for assessing the flood risk and climate adaptation capacity of an urban area and its critical…

Abstract

Purpose

The purpose of this paper was to develop an integrated framework for assessing the flood risk and climate adaptation capacity of an urban area and its critical infrastructures to help address flood risk management issues and identify climate adaptation strategies.

Design/methodology/approach

Using the January 2011 flood in the core suburbs of Brisbane City, Queensland, Australia, various spatial analytical tools (i.e. digital elevation modeling and urban morphological characterization with 3D analysis, spatial analysis with fuzzy logic, proximity analysis, line statistics, quadrat analysis, collect events analysis, spatial autocorrelation techniques with global Moran’s I and local Moran’s I, inverse distance weight method, and hot spot analysis) were implemented to transform and standardize hazard, vulnerability, and exposure indicating variables. The issue on the sufficiency of indicating variables was addressed using the topological cluster analysis of a two-dimension self-organizing neural network (SONN) structured with 100 neurons and trained by 200 epochs. Furthermore, the suitability of flood risk modeling was addressed by aggregating the indicating variables with weighted overlay and modified fuzzy gamma overlay operations using the Bayesian joint conditional probability weights. Variable weights were assigned to address the limitations of normative (equal weights) and deductive (expert judgment) approaches. Applying geographic information system (GIS) and appropriate equations, the flood risk and climate adaptation capacity indices of the study area were calculated and corresponding maps were generated.

Findings

The analyses showed that on the average, 36 (approximately 813 ha) and 14 per cent (approximately 316 ha) of the study area were exposed to very high flood risk and low adaptation capacity, respectively. In total, 93 per cent of the study area revealed negative adaptation capacity metrics (i.e. minimum of −23 to <0), which implies that the socio-economic resources in the area are not enough to increase climate resilience of the urban community (i.e. Brisbane City) and its critical infrastructures.

Research limitations/implications

While the framework in this study was obtained through a robust approach, the following are the research limitations and recommended for further examination: analyzing and incorporating the impacts of economic growth; population growth; technological advancement; climate and environmental disturbances; and climate change; and applying the framework in assessing the risks to natural environments such as in agricultural areas, forest protection and production areas, biodiversity conservation areas, natural heritage sites, watersheds or river basins, parks and recreation areas, coastal regions, etc.

Practical implications

This study provides a tool for high level analyses and identifies adaptation strategies to enable urban communities and critical infrastructure industries to better prepare and mitigate future flood events. The disaster risk reduction measures and climate adaptation strategies to increase urban community and critical infrastructure resilience were identified in this study. These include mitigation on areas of low flood risk or very high climate adaptation capacity; mitigation to preparedness on areas of moderate flood risk and high climate adaptation capacity; mitigation to response on areas of high flood risk and moderate climate adaptation capacity; and mitigation to recovery on areas of very high flood risk and low climate adaptation capacity. The implications of integrating disaster risk reduction and climate adaptation strategies were further examined.

Originality/value

The newly developed spatially explicit analytical technique, identified in this study as the Flood Risk-Adaptation Capacity Index-Adaptation Strategies (FRACIAS) Linkage/Integrated Model, allows the integration of flood risk and climate adaptation assessments which had been treated separately in the past. By applying the FRACIAS linkage/integrated model in the context of flood risk and climate adaptation capacity assessments, the authors established a framework for enhancing measures and adaptation strategies to increase urban community and critical infrastructure resilience to flood risk and climate-related events.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 8 no. 4
Type: Research Article
ISSN: 1759-5908

Keywords

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Article

Xuexin Xu, Xiaodong Yang, Junhua Lu, Ji Lan, Tai-Quan Peng, Yingcai Wu and Wei Chen

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems…

Abstract

Purpose

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems where players can consume and trade in-game items with virtual currency. The in-game currency price, an important indicator of a virtual economy, is highly contingent on players’ behavioral interaction in MMORPGs. The purpose of this paper is to adopt a network perspective to examine how topological characteristics of social networks in an MMORPG, namely, network externalities, density, and closure, would exert impacts on the in-game currency price.

Design/methodology/approach

Players’ behavioral data were collected from a popular MMORPG in China on a weekly basis for 52 weeks. With a time series analytical approach, the empirical model for the price function of in-game currency was estimated with vector autoregression.

Findings

The results show that the number of core avatars and network density are positively associated with in-game currency price, while network closure has a negative effect on in-game currency price. However, in-game currency price is found to have no significant relationship with the trade volume of the currency.

Originality/value

This study fills in an important research gap by investigating factors influencing the in-game currency price of MMORPGs from a network perspective, which contributes to the existing literature of network effects and advances our understanding about how players’ interaction will influence the dynamics of a virtual economy. The findings could offer useful insights for online game companies to better understand their players’ social interaction and consumption behavior.

Details

Internet Research, vol. 27 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

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Article

Rashmi Singh and Jogendra Kumar Nayak

The purpose of this study is to examine the effect of work-family conflicts (WFC) on job stress and its subsequent impact on job satisfaction among the police officials…

Abstract

Purpose

The purpose of this study is to examine the effect of work-family conflicts (WFC) on job stress and its subsequent impact on job satisfaction among the police officials. It also examined the moderating effect of the social support from organisations between employees’ job stress and satisfaction.

Design/methodology/approach

The authors conducted a survey on 599 police officials associated with 20 police stations in New Delhi, India. The study involved a hierarchical regression analysis to examine the relationship between independent (WFC) and dependent (satisfaction) variable with the mediator (stress) as well as the moderator (social support).

Findings

The findings revealed that stress mediated the relationship between WFC and satisfaction of the police officials. Further, social support acted as a moderator between their job stress and satisfaction.

Practical implications

The study findings added a new chapter in the existing literature by developing a comprehensive framework that considers different dimensions, i.e. WFC and job stress in Indian context.

Originality/value

The study has originality and offers value to police organisation as it focuses on police officials, and explores their WFC and job stress and its subsequent effect on their job satisfaction.

Details

Policing: An International Journal of Police Strategies & Management, vol. 38 no. 4
Type: Research Article
ISSN: 1363-951X

Keywords

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