Mining version histories for change impact analysis in business process model repositories

In order to remain competitive and sustainable in today's ever-changing business environments, organizations need to frequently make changes to their business activities and the corresponding business process models. One of the critical issues that an organization faces is change impact analysis: estimating the potential effects of changing a business process to other processes in the organization's business process repository. In this paper, we propose an approach to change impact analysis which mines a version history of a business process model repository. Our approach then identifies business process models that have been co-changed in the past and uses this knowledge to predict the impact of future changes. An empirical validation on a real business process model repository has showed the effectiveness of our approach in predicting impact of a change.     

民航气象资料接收模型研究

在民航业务流程的基础上,对原有民航气象信息处理与传输系统进行研究。分析发现,随着业务量的增加,原有系统在接收气象资料实时性等方面已无法满足需求,进而提出了新一代民航气象资料接收模型。该模型使用多节点并行处理、负载均衡、内存数据库等技术提高了气象资料解码、质量检测、存储等方面的效率。该模型现已成功地应用在民航气象信息处理与传输验证系统上。     

Financial ratio selection for business crisis prediction

Recent research has used financial ratios to establish the diagnosis models for business crises. This research explores a broader coverage of financial features, namely the recommended financial ratios from TEJ (Taiwan Economic Journal) database in addition to those financial ratios studied in prior literature. The aim of this research is to discover potentially useful but previously unaware financial features for better prediction accuracy. In this study, we had applied data mining techniques to identify five useful financial ratios, which two of them, tax rates and continuous four quarterly EPS are previously unaware to the research community. Our empirical experiment indicates that our proposed feature set outperforms those models proposed by prior scholars in terms of the prediction accuracy.     

Testing the significance of solar term effect in the Taiwan stock market

This paper examines lunisolar calendar anomalies in the Taiwan stock market, particularly the solar term effect. Using the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX), the significance of the solar term effect was tested. Statistical results showed that the lowest and the highest average stock returns are observed on Cold Dew and White Dew, respectively. Additionally, we found that all of the solar terms with negative average stock returns occurred during the period of Grain Fills to Winter Solstice. Although many investors believe that the solar term effect exists in the Taiwan stock market, the results of this study appear to show that the solar term effect is a mere superstition. The analytical results may prove useful for future theoretical and empirical work on the stock market in Taiwan and elsewhere.     

Defining collaborative business rules management solutions: framework and method

The goal of this research is to define a method for configuring a collaborative business rules management solution from a value proposition perspective. In an earlier published study (Business rules management solutions: added value by means of business interoperability. In: van Sinderen M, Oude Luttighuis P, Folmer E, Bosms S (eds), International IFIP working conference on enterprise interoperability, vol 144. Springer, Twente, pp 145–157, 2013) we took a business rules perspective on interorganisational collaboration optimization, when we addressed the question what the relation was between types of business interoperability and an organisation’s business rules management solution. Different types of collaboration were defined and subsequently combined with eleven identified types of service systems; these service systems together make up the business rules management solution. In this paper we re-address and -present our earlier work, yet based on the findings, we extend it with the construction of a method for determining the configuration of collaborative business rules management solutions. This method is tested by applying it to a case study at an alliance of airlines. Presented results provide a grounded basis from which empirical and practical research on business rules management solutions can be further explored.     

Forecasting models for Taiwanese tourism demand after allowance for Mainland China tourists visiting Taiwan

The tourism industry is an increasingly important national industry for Taiwan. Government policymakers and business managers pay close attention to the development of the tourism industry. In a rapidly changing environment that is influenced by numerous socioeconomic factors, the tourism industry must have an accurate method to forecast future tourism demand such that decision makers will be able to meet future challenges more effectively. Based on these concerns, this study proposes the SARIMA–GARCH model to analyze and forecast the tourism demand in Taiwan and compare the predictive power of this model and other forecasting models. The results provide a valuable reference for decision-makers in the tourism industry of Taiwan.     

Mining shopping behavior in the Taiwan luxury products market

The rapid growth of Taiwan’s economy has been accompanied by the country’s developing market for luxury products. To successfully establish the new market demand chain for the luxury industry in Taiwan, it is essential to understand customer preferences. Thus, this study uses an association rules approach and clustering analysis for data mining to mine knowledge among luxury product-buying customers in Taiwan. The results of knowledge extraction from data mining, illustrated as knowledge patterns, rules and knowledge maps, are used to make recommendations for future developments in the luxury products industry.     

Mobile business application for service and maintenance processes: Using ex post evaluation by end-users as input for iterative design

Although mobile technologies are increasingly used for business purposes, many companies have found it difficult to successfully implement them. Not only do the rapid technological changes increase the risks of companies’ investments into mobile technologies, but many such applications have also failed to gain user acceptance. In contrast to the consumer domain, there are very few empirical studies of mobile applications’ effectiveness from the perspectives of professional end users. Furthermore, designing mobile business applications has become an increasingly iterative and incremental activity, and ex post evaluations by actual users can provide crucial feedback to an iterative design process. In this study, we seek to contribute to establishing a design cycle that closely links the building and the evaluation of mobile business applications. Our objectives are to (1) gain a better understanding of mobile business applications’ success by means of ex post evaluations from end users, and to (2) leverage these empirical insights to inform the design of mobile business applications. We conducted the study in collaboration with DEKRA Automotive, which offers expert services in the automotive sector with experience in mobile business applications. Our primary contribution is a systematic approach to using ex post evaluation as input for the iterative design of mobile business applications. We suggest an adapted version of the D&M information system (IS) Success Model, which has process quality as an additional construct, as a basis for ex post evaluations of a mobile business application by its end users. Furthermore, we illustrate how a performance-based analysis of the empirical results enables one to derive priorities and recommendations for future design iterations. Our results reveal that system quality and process quality are the main determinants of individual benefits of using mobile business applications. Our findings thus contradict other studies that identify information quality as a significant motivator of (consumer-oriented) mobile data services. We conclude that a mobile business application's design should focus on process quality, emphasizing functional support for operational tasks in a specific work context while ensuring system quality, which is largely affected by technology platform choices.     

民机运行大数据分析平台整体架构研究

针对日益增长的民用航空巨量数据,借助大数据存储和分析技术,构建民用航空运行大数据分析平台,可更有效支撑快速响应、航材管理、健康管理等各项民机运行业务。结合目前国内外民用航空领域大数据技术的应用现状,梳理民机运行的业务模式及数据类别,设计并构建民用航空大数据分析平台的整体架构。根据目前民用航空运行业务需求,对民用航空大数据平台的硬件平台的管理节点、数据节点的计算能力等功能性能进行设计,并对民用航空大数据平台的轻量级计算、离线数据计算、实时在线数据处理分析等计算需求进行研究,针对不同的计算方式,提供具体解决途径。最后对民机运行大数据分析平台的业务应用集成及接口技术进行研究。分析表明研究成果有助于提高我国民机运行效率,为民用飞机运行大数据平台提供支撑。     

Forecasting classification of operating performance of enterprises by ZSCORE combining ANFIS and genetic algorithm

Classification of operating performance of the enterprises is not only a hot issue emphasized by the management, but it is an important reference for investors too in their decision-making. Generally speaking, when predicting or analyzing business performance classification, most researchers adopt corporate financial early warning or credit-rating models, which pretty much use previous data and facts. Therefore, this paper brings about an alternative method to discriminate between excellent and poor business management, so as to take preventive measures prior to business crisis or bankruptcy. We collected the financial reports and financial ratios from the listed firms in mainland China and Taiwan as our samples to build up four kinds of forecasting models for business performance. The empirical results show that the hybrid model provides better classification forecasting capability than the other models, while the ANFIS model adjusted by genetic algorithm could effectively enhance the classification forecasting capability.     

新型航空数据信息系统功能设计

航空业若想运营的安全可靠就必需要借助航空安全信息系统的支持。而飞机的记录数据的系统又是航空安全信息系统的最重要的信息的获得源头。本文所研究开发的飞行数据系统能够为航空业提供很多的信息来支撑管理决策者做出正确的判断,该系统能对Fiji记录下来的信息和数据进行解码并分析处理,找出对航空公司经营发展和飞机安全行驶有用的一系列数据。     

How does Internet information seeking help academic performance? – The moderating and mediating roles of academic self-efficacy

Although researchers tend to agree that Internet is a good source for learning and research, little empirical data has substantiated this claim by specifically linking time and effort spent on the Internet for school related information seeking to academic performances. This research investigates the relationship between vocational high school students’ information seeking activities on the Internet, academic self-efficacy, and academic performance. We propose that academic self-efficacy both mediates and moderates the relationship between Internet information seeking and academic performance. Using survey data from 295 vocational high school students in Taiwan, we found that the positive effect of Internet information seeking to students’ academic performance is mediated through academic self-efficacy. Academic self-efficacy, at the same time, moderates the relationship between Internet information seeking to academic performance such that students’ with low academic self-efficacy benefit more from Internet information seeking in regard to their academic performance. We discussed the implications of our findings and provided future directions for research.     

机场货运物流业务服务管理系统的研究

近几年来,全球经济贸易的发展使得航空货运增长迅速。航空物流业作为我国国民经济中一个新兴的服务性行业,在迎接良好发展机遇时,也正面临着严峻的挑战。在这种形势下,如何提高我国航空货运服务的安全、效率和质量,成为我国航空物流企业参与市场竞争的首要问题。研究整合了机场货运物流管理系统结构,并对该系统进行了总体设计和功能模块的设计。     

Reinventing GTE with information technology

In response to shifting business demands, evolving information technologies play a key role in first reengineering and then reinventing GTE (telecommunications company). To illustrate the growing impact of IT within GTE, we chronicle the evolution of GTE's Network Management System (NMS). Although we focus primarily on the NMS, we broadly identify three major phases in the application of IT within GTE: the initial, reengineering, and reinvention phases. Each phase exemplifies the larger forces at play, both from a business and an IT perspective. During the initial phase, IT served a business support function within GTE, meeting day-to-day needs but not significantly affecting the business as a whole. Next, IT enabled the reengineering of many of our core business processes. Finally, IT has allowed us to make significant steps in reinventing our telecommunications business     

BI前端工具在民用机场数据领域应用的研究

该文通过对民航机场领域数据业务的深入分析,以及对目前各种主流BI前端工具应用的研究,提出了如何更好地使用BI前端数据分析工具进行相关领域数据分析和挖掘的解决方案。文中介绍了作者针对机场不同业务场景,应用BI前端工具制作的六个实用案例,阐述了BI前端工具中各种分析方法适用的最佳业务场景,为如何更好地在民航机场业务领域进行数据分析提供了一些合理化建议。     

Fighting identity theft: The coping perspective

The proliferation of the online business transaction has led to a large number of incidents of identity theft, which have incurred expensive costs to consumers and e-commerce industries. Fighting identity theft is important for both online business and consumers. Although the practical significance of fighting identity theft has been of great interest, empirical studies on identity theft are very limited. Drawing upon coping behavior theories, this study examines two types of coping behaviors to fight identity theft (i.e., conventional coping and technological coping). Following structural equation modeling approach, we test the model using data collected from 117 subjects through a survey. The results reveal that both conventional coping and technological coping are effective to defend against identity theft. Technological coping is determined by an individual's conventional coping, self-efficacy, perceived effectiveness of coping, and social influence. This study presents a timely empirical study on identity theft, and provides valuable insights for consumers, government agencies, and e-commerce industries.     

电子通路与公司绩效关联性之研究

The stimulus of advances in Information Technology (IT), particularly the Internet, has forced firms to explore new organizational forms and deliver service innovation. Emerging Internet-based electronic distribution channels, i.e., Internet channels, might be another forms of services innovation for firms to face the market dynamics. However, empirical studies fail to provide direct evidence of whether Internet channels enhance business performance[1]. In order to fill in the literature gap, this empirical study attempts to investigate performance implications of Internet channels in Taiwan by means of applying data envelopment analysis (DEA). Results show that operating efficiency of financial services firms following the Internet channels announcement is increased. This work therefore concludes that Internet channels have positive influence on business performance.     

Comparative effect of company-driven SNS activity vs. consumer-driven SNS activity on firm value: Evidence from facebook

As mobile technology and social media have advanced, companies have become more and more motivated to make use of social network services (SNS) such as Facebook to increase future firm performance. Perusing the literature on the association between SNS and firm performance, we found very few empirical studies of the comparative effect of company-driven activity (e.g. posting) and consumer-driven activity (e.g. liking, commenting, sharing) on firm performance. Moreover, specific SNS activities affecting firm performance in the present, future, or both have not been explicitly identified. Hence, we developed an empirical model to identify and find differences between the effects of SNS activities on firm performance in the present (as measured by returns on investment) or future (as measured by Tobin’s q) to improve our understanding of the impact of corporate SNS as a marketing channel. Text mining techniques are applied in this study to identify SNS activities from SNS data. The results suggest that SNS contributes significantly to future firm performance, as evidenced by increases in Tobin’s q. Moreover, company-driven activities affect future value, while consumer-driven activities affect present value. Implications from these results are discussed.     

Knowledge sharing and ERP system usage in post-implementation stage

Many organizations have adopted enterprise resource planning (ERP) systems in recent years to integrate information and information-based processes within and across functional areas. Because of the under-utilization of ERP systems, most of these organizations are disappointed in reaching the anticipated business goals. It is imperative to explore how to facilitate the usage of ERP systems for organizations. This study aims to develop an understanding of the effect of knowledge sharing on ERP system usage and the factors affecting employees’ knowledge sharing after the initial implementation of an ERP system. Selected social oriented theories were employed to develop our conceptual model. By means of a survey of 804 ERP users from 53 Taiwan companies, we confirmed our research model to some extent and found that social capital, intrinsic motivation, and self-efficacy all have significant impacts on knowledge sharing. However, contrary to common belief, we found a negative, though insignificant, effect of extrinsic motivation on knowledge sharing. The implications for research, practice, and future research directions are discussed herein.     

民航电子商务发展的支撑体系与技术平台

电子商务已成为未来民航信息化发展的重要内容之一,但它的发展要受到信息技术、网络资源、网络安全、网上支付、企业信息化程度以及网络诚信等多种因素制约,该文对民航电子商务发展的支撑体系和技术平台进行了全面分析。