This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/02635579710173239. When citing the…
Abstract
This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/02635579710173239. When citing the article, please cite: Chang Chung Li, Tsong Shin Sheu, Yuh Ren Wang, (1997), “Some thoughts on the evolution of quality engineering”, Industrial Management & Data Systems, Vol. 97 Iss: 4, pp. 153 - 157.
Li Chang‐Chung and Tsai Ping‐Chen
The purpose of business strategy is to achieve competitive advantages which includes higher efficiency, better quality, more innovation and faster customer response. In other…
Abstract
The purpose of business strategy is to achieve competitive advantages which includes higher efficiency, better quality, more innovation and faster customer response. In other words, the business strategy is to build unique capability of lower cost and/or differentiation. In production aspect, unique capability means better production power with better performance at 3M(Man, Machine, Material) of input and PQCDSM (Product, Quality, Cost, Delivery, Safety, Moral) from output. The Total Productive Management (TPM), a series of improvement activities focused on reduction of equipment loss, is a tool to establish business competitive advantages. In this paper, several domestic companies who won the Japan TPM Award have been studied. It is found that there is a strong cause‐effect relationship between TPM and competitive advantages because: (1) TPM can change employees mindset effectively; (2) TPM can upgrade employees capabilities; (3) TPM can lead to excellent productivity.
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Chang Chung Li, Tsong Shin Sheu and Yuh Ren Wang
Recently, Taguchi methods have become very popular among industries worldwide. Begins by reviewing the past discussion on quality engineering from viewpoints of Taguchi himself…
Abstract
Recently, Taguchi methods have become very popular among industries worldwide. Begins by reviewing the past discussion on quality engineering from viewpoints of Taguchi himself, practitioners and academic scholars. The weakness of Taguchi’s approach in quality engineering is not in the statistical analysis aspect. Posits that, on the contrary, it provides a way of thinking that emphasizes a philosophy of freely using the methods of design of experiments to solve engineering problems. States that, in this regard, quality engineering will be further empowered via the aid of various engineering techniques. Proposes, based on these kind of thoughts, two directions for evolution of quality engineering.
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The purpose of this paper is to improve the information quality of bankruptcy prediction models proposed in the literature by building prediction intervals around the point…
Abstract
The purpose of this paper is to improve the information quality of bankruptcy prediction models proposed in the literature by building prediction intervals around the point estimates generated by these models and to determine if the use of the prediction intervals in conjunction with the point estimated yields an improvement in predictive accuracy over traditional models. The authors calculated the point estimates and prediction intervals for a sample of firms from 1991 to 2008. The point estimates and prediction intervals were used in concert to classify firms as bankrupt or non-bankrupt. The accuracy of the tested technique was compared to that of a traditional bankruptcy prediction model. The results indicate that the use of upper and lower bounds in concert with the point estimates yield an improvement in the predictive ability of bankruptcy prediction models. The improvements in overall prediction accuracy and non-bankrupt firm prediction accuracy are statistically significant at the 0.01 level. The authors present a technique that (1) provides a more complete picture of the firm’s status, (2) is derived from multiple forms of evidence, (3) uses a predictive interval technique that is easily repeated, (4) can be generated in a timely manner, (5) can be applied to other bankruptcy prediction models in the literature, and (6) is statistically significantly more accurate than traditional point estimate techniques. The current research is the first known study to use the combination of point estimates and prediction intervals to in bankruptcy prediction.
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One of the more important and interesting phenomena in international business in recent times is the upgrading and catchup of firms from emerging economies. How do these firms…
Abstract
One of the more important and interesting phenomena in international business in recent times is the upgrading and catchup of firms from emerging economies. How do these firms upgrade and catchup? This paper reviews and synthesizes the literature on upgrading and catchup by emerging economy firms and develops a model and testable propositions to advance research on the topic.
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Chih-Ming Chen, Szu-Yu Ho and Chung Chang
This study aims to develop a hierarchical topic analysis tool (HTAT) based on hierarchical Latent Dirichelet allocation (hLDA) to support digital humanities research that is…
Abstract
Purpose
This study aims to develop a hierarchical topic analysis tool (HTAT) based on hierarchical Latent Dirichelet allocation (hLDA) to support digital humanities research that is associated with the need of topic exploration on the Digital Humanities Platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW). HTAT can assist humanities scholars on distant reading with analysis of hierarchical text topics, through classifying time-stamped texts into multiple historical eras, conducting hierarchical topic modeling (HTM) according to the texts from different eras and presenting through visualization. The comparative network diagram is another function provided to assist humanities scholars in comparing the difference in the topics they wish to explore and to track how the concept of a topic changes over time from a particular perspective. In addition, HTAT can also provide humanities scholars with the feature to view source texts, thus having high potential to be applied in promoting the effectiveness of topic exploration due to simultaneously integrating both the topic exploration functions of distant reading and close reading.
Design/methodology/approach
This study adopts a counterbalanced experimental design to examine whether there is significant differences in the effectiveness of topic inquiry, the number of relevant topics inquired and the time spent on them when research participants were alternately conducting text exploration using DHP-LCLW with HTAT or DHP-LCLW with Single-layer Topic Analysis Tool (SLTAT). A technology acceptance questionnaire and semi-structured interviews were also conducted to understand the research participants' perception and feelings toward using the two different tools to assist topic inquiry.
Findings
The experimental results show that DHP-LCLW with HTAT could better assist the research participants, in comparison with DHP-LCLW with SLTAT, to grasp the topic context of the texts from two particular perspectives assigned by this study within a short period. In addition, the results of the interviews revealed that DHP-LCLW with HTAT, in comparison with SLTAT, was able to provide a topic terms that better met research participnats' expectations and needs, and effectively guided them to the corresponding texts for close reading. In the analysis of technology acceptance and interview data, it can be found that the research participants have a high and positive tendency toward using DHP-LCLW with HTAT to assist topic inquiry.
Research limitations/implications
The Jieba Chinese word segmentation system was used in the Mr. Lo Chia-Lun’s Writings Database in this study, to perform word segmentation on Mr. Lo Chia-Lun’s writing texts for topic modeling based on hLDA. Since Jieba word segmentation system is a lexicon based word segmentation system, it cannot identify new words that have still not been collected in the lexicon well. In this case, the correctness of word segmentation on the target texts will affect the results of hLDA topic modeling, and the effectiveness of HTAT in assisting humanities scholars for topic inquiry.
Practical implications
An HTAT was developed to support digital humanities research in this study. With HTAT, DHP-LCLW provides hmanities scholars with topic clues from different hierarchical perspectives for textual exploration, and with temporal and comparative network diagrams to assist humanities scholars in tracking the evolution of the topics of specific perspectives over time, to gain a more comprehensive understanding of the overall context of the texts.
Originality/value
In recent years, topic analysis technology that can automatically extract key topic information from a large amount of texts has been developed rapidly, but the topics generated from traditional topic analysis models like LDA (Latent Dirichelet allocation) make it difficult for users to understand the differences in the topics of texts with different hierarchical levels. Thus, this study proposes HTAT which uses hLDA to build a hierarchical topic tree with a tree-like structure without the need to define the number of topics in advance, enabling humanities scholars to quickly grasp the concept of textual topics and use different hierarchical perspectives for further textual exploration. At the same time, it also provides a combination function of temporal division and comparative network diagram to assist humanities scholars in exploring topics and their changes in different eras, which helps them discover more useful research clues or findings.
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Chih-Ming Chen and Chung Chang
With the rapid development of digital humanities, some digital humanities platforms have been successfully developed to support digital humanities research for humanists. However…
Abstract
Purpose
With the rapid development of digital humanities, some digital humanities platforms have been successfully developed to support digital humanities research for humanists. However, most of them have still not provided a friendly digital reading environment and practicable social network analysis tool to support humanists on interpreting texts and exploring characters’ social network relationships. Moreover, the advancement of digitization technologies for the retrieval and use of Chinese ancient books is arising an unprecedented challenge and opportunity. For these reasons, this paper aims to present a Chinese ancient books digital humanities research platform (CABDHRP) to support historical China studies. In addition to providing digital archives, digital reading, basic search and advanced search functions for Chinese ancient books, this platform still provides two novel functions that can more effectively support digital humanities research, including an automatic text annotation system (ATAS) for interpreting texts and a character social network relationship map tool (CSNRMT) for exploring characters’ social network relationships.
Design/methodology/approach
This study adopted DSpace, an open-source institutional repository system, to serve as a digital archives system for archiving scanned images, metadata, and full texts to develop the CABDHRP for supporting digital humanities (DH) research. Moreover, the ATAS developed in the CABDHRP used the Node.js framework to implement the system’s front- and back-end services, as well as application programming interfaces (APIs) provided by different databases, such as China Biographical Database (CBDB) and TGAZ, used to retrieve the useful linked data (LD) sources for interpreting ancient texts. Also, Neo4j which is an open-source graph database management system was used to implement the CSNRMT of the CABDHRP. Finally, JavaScript and jQuery were applied to develop a monitoring program embedded in the CABDHRP to record the use processes from humanists based on xAPI (experience API). To understand the research participants’ perception when interpreting the historical texts and characters’ social network relationships with the support of ATAS and CSNRMT, semi-structured interviews with 21 research participants were conducted.
Findings
An ATAS embedded in the reading interface of CABDHRP can collect resources from different databases through LD for automatically annotating ancient texts to support digital humanities research. It allows the humanists to refer to resources from diverse databases when interpreting ancient texts, as well as provides a friendly text annotation reader for humanists to interpret ancient text through reading. Additionally, the CSNRMT provided by the CABDHRP can semi-automatically identify characters’ names based on Chinese word segmentation technology and humanists’ support to confirm and analyze characters’ social network relationships from Chinese ancient books based on visualizing characters’ social networks as a knowledge graph. The CABDHRP not only can stimulate humanists to explore new viewpoints in a humanistic research, but also can promote the public to emerge the learning interest and awareness of Chinese ancient books.
Originality/value
This study proposed a novel CABDHRP that provides the advanced features, including the automatic word segmentation of Chinese text, automatic Chinese text annotation, semi-automatic character social network analysis and user behavior analysis, that are different from other existed digital humanities platforms. Currently, there is no this kind of digital humanities platform developed for humanists to support digital humanities research.
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Xuanli Xie, Jeffrey J. Reuer and Elko Klijn
Despite the growing interest in IJVs and their governance, systematic research is limited on the board of directors and their roles in international joint ventures in emerging…
Abstract
Despite the growing interest in IJVs and their governance, systematic research is limited on the board of directors and their roles in international joint ventures in emerging markets. In this study, we draw from corporate governance research that suggests that the levels of control and collaboration by boards are influenced by organizational complexity. While joint ventures possess several similarities compared to unitary firms, they also have unique sources of complexity given the fact that two or more international partners collaborate within JVs under an incomplete contract. Based on a sample of 114 IJVs, we argue and show four separate conditions that influence the functions that boards undertake as well as how control and collaboration as two separate functions are interrelated. Our findings address calls for research to open the black box of what boards actually do as well as to bring corporate governance theory to new organizational forms such as joint ventures.
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Chih-Ming Chen, Chung Chang and Yung-Ting Chen
Digital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study develops a…
Abstract
Purpose
Digital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study develops a character social network relationship map tool (CSNRMT) that can semi-automatically assist digital humanists through human-computer interaction to more efficiently and accurately explore the character social network relationships from Chinese ancient texts for useful research findings.
Design/methodology/approach
With a counterbalanced design, semi-structured in-depth interview, and lag sequential analysis, a total of 21 research subjects participated in an experiment to examine the system effectiveness and technology acceptance of adopting the ancient book digital humanities research platform with and without the CSNRMT to interpret the characters and character social network relationships.
Findings
The experimental results reveal that the experimental group with the CSNRMT support appears higher system effectiveness on the interpretation of characters and character social network relationships than the control group without the CSNRMT, but does not achieve a statistically significant difference. Encouragingly, the experimental group with the CSNRMT support presents remarkably higher technology acceptance than the control group without the CSNRMT. Furthermore, use behaviors analyzed by lag sequential analysis reveal that the CSNRMT could assist digital humanists in the interpretation of character social network relationships. The results of the interview present positive opinions on the integration of system interface, smoothness of operation, and external search function.
Research limitations/implications
Currently, the system effectiveness of exploring the character social network relationships from texts for useful research findings by using the CSNRMT developed in this study will be significantly affected by the accuracy of recognizing character names and character social network relationships from Chinese ancient texts. The developed CSNRMT will be more practical when the offered information about character names and character social network relationships is more accurate and broad.
Practical implications
This study develops an ancient book digital humanities research platform with an emerging CSNRMT that provides an easy-to-use real-time interaction interface to semi-automatically support digital humanists to perform digital humanities research with the need of exploring character social network relationships.
Originality/value
At present, a real-time social network analysis tool to provide a friendly interaction interface and effectively assist digital humanists in the digital humanities research with character social networks analysis is still lacked. This study thus presents the CSNRMT that can semi-automatically identify character names from Chinese ancient texts and provide an easy-to-use real-time interaction interface for supporting digital humanities research so that digital humanists could more efficiently and accurately establish character social network relationships from the analyzed texts to explore complicated character social networks relationship and find out useful research findings.
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Desislava Dikova, Ahmad Arslan and Jorma Larimo
We investigate the effect of distance – political, economic, cultural and spatial, on developed-economy multinational enterprises’ (MNEs’) ownership decisions in cross-border (CB…
Abstract
We investigate the effect of distance – political, economic, cultural and spatial, on developed-economy multinational enterprises’ (MNEs’) ownership decisions in cross-border (CB) acquisitions. We start with the premise that distance discourages full and majority ownership in CB acquisitions, and further investigate the moderating role of distance-reducing factors. We examine how the relationship between distance and acquisition ownership decision is moderated by firm-specific characteristics, such as firm size, general international experience, and specific host country experience. Our data sample consists of 1,041 CB acquisitions under taken by Finnish MNEs in 58 countries during the time period 1990–2010. We find substantial support for all our hypotheses and conclude that the negative effects of distance on CB acquisition equity stake are positively moderated by the three firm-specific resources but their individual importance is conditional on the host country type (developed or emerging).