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To provide useful references for manufacturing industry which guide the linkage of business strategies and performance indicators for information security projects.

This study uses balanced scorecard (BSC) framework to set up performance index for information security management in organizations. Moreover, BSC used is to strengthen the linkage between foundational performance indicators and progressive business strategy theme.

The general model of information security management builds the strategy map with 12 strategy themes and 35 key performance indicators are established. The development of strategy map also express how to link strategy themes to key performance indicators.

The investigation of listed manufacturing companies in Taiwan may limit the application elsewhere.

Traditional performance measurement system like return on investment, sales growth is not enough to describe and manage intangible assets. This study based on BSC to measure information security management performance can provide the increasing value from improving measures and management insight in modern business.

This study combines the information security researches and organizational performance studies. The result helps organizations to assess values of information security projects and consider how to link projects performance to business strategies.

The purpose of this study is to examine the influences of green entrepreneurial orientation (GEO) and green relationship quality (GRQ) on green service innovation (GSI).

The authors mailed 1,898 questionnaires to the sampled companies. Ultimately, 207 companies participated in the authors’ study. This resulted in a valid sample of 542 hotel managers.

The research results indicate that GEO improves GRQ and GSI. Furthermore, GRQ positively affects GSI and mediates the relationship between GEO and GSI.

The authors’ study enhances the quality of nature and highlights the mediation role of GRQ.

Firms can create and establish GRQ to enhance their GSI.

The authors’ study shows that environmentally friendly firms can enhance natural locations and conditions of natural resources.

This study aims to develop a context-specific model of GEO for hospitality managers.

本论文旨在研究绿色创业倾向和绿色关系质量对于绿色服务创新的影响。

本论文采用邮寄问卷采样形式, 向采样公司共寄出1898份问卷。最终, 207家公司参与本研究项目。有效样本数量为542份来自酒店经理人的问卷。

绿色创业倾向对于绿色关系质量和绿色服务创新有着促进作用。此外, 绿色关系质量积极地影响绿色服务创新, 并且对于绿色创业倾向和绿色服务创新有着中间变量的作用。

本论文对提高自然质量有着促进作用, 并且着重说明了绿色关系质量的中间调解作用。

公司能够通过创造和建立绿色关系质量的手段来提高他们的绿色服务创新。

本论文以特定背景为基础, 建立了一个针对酒店经理人的绿色创业倾向的模型.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Describes how a statistical Taguchi approach and a backpropagation neural network model were devised to evaluate the effect of various parameters and identify the optimal parameter setup values in a gas‐assisted injection moulding process. In applying the Taguchi approach, an L18orthogonal array was employed to collect the observations, and the same collected data sets, with two additional inputs, were utilized to construct a neural network model to ascertain whether utilizing such a neural network would provide an improved generalization capability over a statistical method. The effect of the learning rate and the number of hidden nodes on the efficiency of the neural network learning algorithm was extensively studied to identify what provides the best forecasting of performance measure. In addition, to verify the generalization capability of the neural model, eight different parameter setups, which had not been included in the full factorial design, were constructed for network testing. The results revealed that the network is more efficient in identifying the real optimal parameter setup.

Using social networks to identify users with traits similar to those of the target user has proven highly effective in the development of personalized recommendation systems. Existing methods treat all dimensions of user data as a whole, despite the fact that most of the information related to different dimensions is discrete. This has prompted researchers to adopt the skyline query for such search functions. Unfortunately, researchers have run into problems of instability in the number of users identified using this approach.

We thus propose the m-representative skyline queries to provide control over the number of similar users that are returned. We also developed an R-tree-based algorithm to implement the m-representative skyline queries.

By using the R-tree based algorithm, the processing speed of the m-representative skyline queries can now be accelerated. Experiment results demonstrate the efficacy of the proposed approach.

Note that with this new way of finding similar users in the social network, the performance of the personalized recommendation systems is expected to be enhanced.

An experimental design is used to examine the effect of products’ country‐of‐origin on first‐mover advantage. Specifically, focuses on the effects of favorable/unfavorable country‐of‐origin on first‐mover advantage, as well as its effects with regard to “early followers” and “late followers”. The results have direct implications for products entering international markets as a first mover, “early” follower, or “late” follower. Results indicate that with increasing number of competitors entering an international market, a product’s favorable country image begins to lose its strategic importance. Consequently, the pursuit of first‐mover advantage may be more relevant than a positive country‐of‐origin effect. Also, the results suggest that for products from countries with a less than favorable image, it may be more useful to be a “follower” than a “first‐mover” because the advantage of being first in a market can be negated by the unfavorable country‐of‐origin effect.

The purpose of this paper is to explain the Creative Common license (CC license) a digital copyright license, which can clearly express the scope of copyright granted by the owners and therefore help users, including crawlers and software robots, to comprehend the scope of authority and then collect digital contents via the internet legally. However, both the complex format and difficulty in embedding the digital codes in a binary file impede the spread of CC licenses. This paper seeks to propose a new protocol CCFE, based on the CC license, to solve the above problems.

Instead of embedding the CC licensing information in the body of a CC file, CCFE attaches the authentication information in the file extension. The syntax of CCFE to verify the validity of CCFE is illustrated.

CCFE allows the authorization data to be embedded and is consequently preserved in the process of duplication and transmission. Thus the portability of the authentication method is magnified. In addition, users can use general search engines, like Google, to find the CC licensed documents.

The paper points out the disadvantages of the current CC license and explains a new protocol. Furthermore, it explains how this new paradigm can be used for constructing an online digital library and how librarians can use software robots to collect digital contents on the internet within copyright guidelines.

This study aims to study the dynamic characteristics of a helical geared rotor-bearing system with composite material rotating shafts.

A finite element model of a helical geared rotor-bearing system with composite material rotating shafts is developed, in which the rotating shafts of the system are composed of composite material and modeled as Timoshenko beam; a rigid mass is used to represent the gear and their gyroscopic effect is taken into account; bearings are modeled as linear spring-damper; and the equations of motion are obtained by applying Lagrange’s equation. Natural frequencies, mode description, lateral responses, axial responses, lamination angles, lamination numbers, gear mesh stiffness and bearing damping coefficients are investigated.

The desired mechanical properties could be constructed using different lamination numbers and fiber included angles by composite rotating shafts. The frequency of the lateral module decreases as the included angle of the fibers and the principal shaft of the composite material rotating shaft increase. Because of the gear mesh stiffness increase, the resonance frequency of the coupling module of the system decreases, the lateral module is not influenced and the steady-state response decreases. The amplitude of the steady-state lateral and axial responses gradually decreases as the bearing damping coefficient increases.

The model of a helical geared rotor-bearing system with composite material rotating shafts is established in this paper. The dynamic characteristics of a helical geared rotor-bearing system with composite rotating shafts are investigated. The numerical results of this study can be used as a reference for subsequent personnel research.

The dynamic characteristics of the geared rotor-bearing system had been reported in some literature. However, the dynamic analysis of a helical geared rotor-bearing system with composite material rotating shafts is still rarely investigated. This paper shows some novel results of lateral and axial response results obtained by different lamination angles and different lamination numbers. In the future, it makes valuable contributions for further development of dynamic analysis of a helical geared rotor-bearing system with composite material rotating shafts.

Purpose: The purpose of the present study is to synthesize and organize existing literature on contagious diseases and tourism. This systematic mapping of the literature helps to identify various mature and emerging themes around the research domain in the literature.

Design/Methodology/Approach: The study uses systematic methodology along with bibliometric and content analysis. Using a combination of electronic database searching and forward and backward references searching, the study identifies 160 suitable published studies.

Findings: Initial bibliometric analysis reveals that Tourism Geographies and Tourism Management are most influential journals and Law and Lee are most influential authors working on this field. The Hong Kong Polytechnic University and Universiti Sains Malaysia are among the top contributing educational and research organizations. Further, the content analysis reveals that literature on contagious diseases and tourism industry revolves around three prominent themes namely SARS and other contagious diseases, crisis management and tourism forecasting.

Research Limitations/Implications: The study does not consider ‘grey literature’ and conference proceedings.

Originality and Value: Present study is one of the early attempts that analyzes the literature on contagious diseases and tourism using bibliometric analysis and contributes to the literature by identifying various mature and emerging on contagious diseases and tourism literature. These insights provide a robust map for future investigation in this field and also offer implications for practitioners.