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1 – 10 of over 11000Carlos Pestana Barros and Peter Wanke
This chapter analyses the efficiency of African airlines using a two-stage network DEA (Data Envelopment Analysis) model. Network DEA models usually take into account the…
Abstract
This chapter analyses the efficiency of African airlines using a two-stage network DEA (Data Envelopment Analysis) model. Network DEA models usually take into account the production process with intermediate inputs derived from the first stage and a second stage that departs from it. This fundamental feature enables one to view the airline production process as a carry-over activity. The analysis covers the 2010–2013 period. The relative efficiency ranks are presented and policy implications are derived.
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Yi-Cheng Chen and Yen-Liang Chen
In this “Info-plosion” era, recommendation systems (or recommenders) play a significant role in finding interesting items in the surge of online digital activity and e-commerce…
Abstract
Purpose
In this “Info-plosion” era, recommendation systems (or recommenders) play a significant role in finding interesting items in the surge of online digital activity and e-commerce. The purpose of this paper is to model users' preference evolution to recommend potential items which users may be interested in.
Design/methodology/approach
A novel recommendation system, namely evolution-learning recommendation (ELR), is developed to precisely predict user interest for making recommendations. Differing from prior related methods, the authors integrate the matrix factorization (MF) and recurrent neural network (RNN) to effectively describe the variation of user preferences over time.
Findings
A novel cumulative factorization technique is proposed to efficiently decompose a rating matrix for discovering latent user preferences. Compared to traditional MF-based methods, the cumulative MF could reduce the utilization of computation resources. Furthermore, the authors depict the significance of long- and short-term effects in the memory cell of RNN for evolution patterns. With the context awareness, a learning model, V-LSTM, is developed to dynamically capture the evolution pattern of user interests. By using a well-trained learning model, the authors predict future user preferences and recommend related items.
Originality/value
Based on the relations among users and items for recommendation, the authors introduce a novel concept, virtual communication, to effectively learn and estimate the correlation among users and items. By incorporating the discovered latent features of users and items in an evolved manner, the proposed ELR model could promote “right” things to “right” users at the “right” time. In addition, several extensive experiments are performed on real datasets and are discussed. Empirical results show that ELR significantly outperforms the prior recommendation models. The proposed ELR exhibits great generalization and robustness in real datasets, including e-commerce, industrial retail and streaming service, with all discussed metrics.
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Min-Ling Liu, Chieh-Peng Lin, Mei-Liang Chen, Pei-Chun Chen and Kuang-Jung Chen
The purpose of this paper is to propose a moderated mediation model to explain how corporate social responsibility (CSR) and ethical leadership influence knowledge sharing and job…
Abstract
Purpose
The purpose of this paper is to propose a moderated mediation model to explain how corporate social responsibility (CSR) and ethical leadership influence knowledge sharing and job dedication through the mediating mechanism of positive affective tone and cognitive meaningfulness.
Design/methodology/approach
The research hypotheses were empirically tested using a survey of employees from the high-tech industry in Taiwan. The research constructs in this study were measured using five-point Likert scales modified from existing literature. The survey data were empirically analyzed with two-step structural equation modeling (SEM) and regression analysis.
Findings
The empirical results of this study reveal that CSR and ethical leadership positively relate to positive affective tone and cognitive meaningfulness. Knowledge sharing is positively affected by positive affective tone whereas job dedication is positively affected by positive affective tone and cognitive meaningfulness. While the relationship between positive affective tone and job dedication is positively moderated by job demand, the relationship between cognitive meaningfulness and job dedication is negatively moderated by job demand.
Originality/value
This study elucidates the ethical influences from organizations (i.e. CSR) and leaders (i.e. ethical leadership) respectively to explain affective and cognitive processes involved in work situations. At the same time, by clarifying the moderating role of job demand, this study provides valuable implications for managers to effectively leverage job demand for increasing employees’ job dedication.
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Chun-Liang Chen, Yao-Chin Lin, Wei-Hung Chen and Xin-Si Heng
The purpose of this paper is to prove the importance of both cluster leadership and identification on cluster innovation.
Abstract
Purpose
The purpose of this paper is to prove the importance of both cluster leadership and identification on cluster innovation.
Design/methodology/approach
The case studies presented in this study involve a cluster by micro-enterprises in Yilan, Taiwan. Data collected during interviews, observations and secondary data provide understanding and practices for the impact of cluster identification on cluster innovation.
Findings
This study proved: first, the importance of cluster identification on innovation by representing the need of consensus and collaboration of the members in conducting innovation actions; and second, the cluster identification is influenced by the cluster leadership by showing high satisfaction of the leader, close interaction between the members and high identification with the cluster.
Research limitations/implications
This study predicts the ongoing cluster innovation activities will be achieved due to the transformational leadership and high cluster identification.
Originality/value
This study enriches the factors of cluster innovation accomplishment and proposes the important of cluster identification, which has not been discussed much in the past.
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Zheng Wang, Shuo Xu, Yibo Wang, Xiaojiao Chai and Liang Chen
The purpose of this study is to solve the problems caused by the growing volumes of pre-annotated literature and variety-oriented annotations, including teamwork, quality control…
Abstract
Purpose
The purpose of this study is to solve the problems caused by the growing volumes of pre-annotated literature and variety-oriented annotations, including teamwork, quality control and time effort.
Design/methodology/approach
An annotation collaboration workbench is developed, which is named as Bureau for Rapid Annotation Tool (Brat). Main functionalities include an enhanced semantic constraint system, Vim-like shortcut keys, an annotation filter and a graph-visualizing annotation browser. With these functionalities, the annotators are encouraged to question their initial mindset, inspect conflicts and gain agreement from their peers.
Findings
The collaborative patterns can indeed be leveraged to structure properly every annotator’s behaviors. The Brat workbench can actually be seen as an experienced-based annotation tool by harnessing collective intelligence. Compared to previous counterparts, about one-third of time can be saved on Xinhuanet military news and patent corpora with the workbench.
Originality/value
The various annotations are very popular in real-world annotation tasks with multiple annotators. Though, it is still under-discussed on variety-oriented annotations. The findings of this study provide the practitioners valuable insight into how to govern annotation projects. In addition, the Brat workbench takes the first step for future research on annotating large-scale text resources.
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The purpose of this study is to investigate the benefits of using a more diverse derivative strategy of a fund in relation to their performance and risk characteristics.
Abstract
Purpose
The purpose of this study is to investigate the benefits of using a more diverse derivative strategy of a fund in relation to their performance and risk characteristics.
Design/methodology/approach
In this study, samples of 3,382 individual hedge funds and 761 funds of hedge funds are used to analyse risk in derivative strategies.
Findings
The results of the study are consistent with the hypotheses that the diversity of derivatives strategy can be related to increased probability of suffering large losses and weaker performance. These awkward characteristics related to the diversity are particularly apparent for the fixed‐income arbitrage strategy. Funds of hedge funds differ from hedge funds as they are more likely to use derivatives for risk management.
Originality/value
This study presents new evidence on the relation between derivative use and fund performance. In this study, a new measure of the diversity of a derivative strategy is considered, which is the number of derivatives used by a fund.
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Yi-An Chen and Chun Liang Chen
The purpose of this study is to explore how creative-cultural hotels can achieve sustainable service design through the development of a holistic conceptual framework.
Abstract
Purpose
The purpose of this study is to explore how creative-cultural hotels can achieve sustainable service design through the development of a holistic conceptual framework.
Design/methodology/approach
The authors created this framework using a qualitative exploratory multi-case study of four creative-cultural hotels in Taiwan. The framework comprises strategic, organizational and interface levels to describe the design process and implementation of service offerings that co-create value within a multifaceted network of actors.
Findings
The findings of this study show that incorporating local arts and culture into sustainable service design can generate unique value and experiences for customers. From the perspective of sustainable development, these hotels seek to add value by using local creative and cultural resources to ensure that they have a sound commercial base from which to showcase their cultural features. As such, this study recommends that the hotel industry shift its focus to a paradigm that provides a strategic and sustainability-framed vision to create value for society while protecting local natural and cultural resources.
Originality/value
This multilevel model reframes the development of customer value constellations through a holistic understanding of user experience, eco-design practice, service encounters aligned with user touchpoints and front-line employee capabilities. To integrate the perspectives of both service providers and their customers, the proposed model embeds these stakeholders within a single model through the vehicle of local value co-creation. This holistic framework can assist in designing sustainable service within the hospitality industry to deliver better services and customer experiences. The findings provide an illustration of how the proposed multilevel sustainable-development-oriented service design framework can serve as a useful tool in guiding hotels toward corporate sustainability.
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Mindong Chen, Huijie Zhang, Liang Chen and Dongmei Fu
An electrochemical method based on the open circuit potential (OCP) fluctuations was put forward. It can be used to optimize the alloy compositions for improving the corrosion…
Abstract
Purpose
An electrochemical method based on the open circuit potential (OCP) fluctuations was put forward. It can be used to optimize the alloy compositions for improving the corrosion resistance of rust layer.
Design/methodology/approach
The potential trends and potential fluctuations of carbon steels in seawater were separated by Hodrick–Prescott filter. The Spearman correlation coefficient and max information coefficient were used to explore the correlation of alloy compositions and potential fluctuations.
Findings
After long-term immersion, potential fluctuation resistance (PFR) can be used to characterize the corrosion resistance of metals and its rust layers. In the 1,500 to 2,500 h exposure period, Fe, C and S compositions have strong negative correlations, whereas PFR and P composition have weak negative correlations. Mn, Cu and Ti alloy compositions help the rust layer of carbon steels have higher PFRs. These elements that exhibit higher PFRs in this period have been confirmed to have the effect on improving the corrosion resistance of rust layer.
Originality/value
A new computing method for alloy composition optimization of carbon steels based on the OCP fluctuations was put forward. This method combines electrochemical monitoring with the long-term actual seawater environmental tests of various carbon steels.
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Women from many cultures have historically been closely tied to the land and the environment through their role as subsistence farmers. But as the more developed nations have…
Abstract
Women from many cultures have historically been closely tied to the land and the environment through their role as subsistence farmers. But as the more developed nations have shifted to commercial agriculture and improved technology, farming has become a male-dominated industry. China’s shift from traditional family-operated farms to government-controlled collectives required a system of incentives to encourage agricultural labor to remain and prevent mass exodus to the cities. Hukou was created in the 1950s as a system of governmental registration for restricting the internal migration of labor within China, identifying citizens’ residency by place of birth. Residents of rural or urban locations are classified agricultural or nonagricultural labor, respectively. But as China’s industrialization has grown and technology has reduced the need for human agricultural labor, the need and desire for urban employment has intensified. For women, relocating has changed marriage practices, influenced child rearing, and altered their right to land tenure in their home region. This paper examines the role of gender in the changing use of hukou in the development of China, focusing on the impact of women’s patterns of migration on land tenure. Although hukou policies are still changing and there is a lack of data on the most recent changes, initial studies show that there are few who wish to give up their rural hukou in order to obtain urban hukou. Changes over the past decade indicate that rural woman are not only taking on more of the agricultural workload as men are drawn to urban employment, but also that they are less likely to care about environmental degradation in China.
Chia-Ling Chang, Yen-Liang Chen and Jia-Shin Li
The purpose of this paper is to provide a cross-platform recommendation system that recommends the most suitable public Instagram accounts to Facebook users.
Abstract
Purpose
The purpose of this paper is to provide a cross-platform recommendation system that recommends the most suitable public Instagram accounts to Facebook users.
Design/methodology/approach
We collect data from both Facebook and Instagram and then propose a similarity matching mechanism for recommending the most appropriate Instagram accounts to Facebook users. By removing the data disparity between the two heterogeneous platforms and integrating them, the system is able to make more accurate recommendations.
Findings
The results show that the method proposed in this paper can recommend suitable public Instagram accounts to Facebook users with very high accuracy.
Originality/value
To the best of the authors’ knowledge, this is the first study to propose a recommender system to recommend Instagram public accounts to Facebook users. Second, our proposed method can integrate heterogeneous data from two different platforms to generate collaborative recommendations. Furthermore, our cross-platform system reveals an innovative concept of how multiple platforms can promote their respective platforms in a unified, cooperative and collaborative manner.
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