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エンタープライズメッセージ管理の指向的開発：電子メールトピック推論の視覚的注意（電子メールのAttLDA）およびECSとERPの統合（SuccERP）に関する研究Author(s)LIN, Yung Yu

CitationIssue Date

2021‑03

TypeThesis or Dissertation

Text version

ETDURLhttp://hdl.handle.net/10119/17467

RightsDescription

Supervisor:永井由佳里, 先端科学技術研究科, 博士

Japan Advanced Institute of Science and Technology

氏

名

LIN, Yung Yu

学

位の 種類

博士（知識科学）

学位記号

博知第 282 号番

学 位 授 与年 月 日

令和 3 年 3 月 24 日
Oriented Development of Enterprise Message Management: Study論文題

目on Visual Attention of Email Topic Inference (AttLDA for Email) andIntegration of ECS and ERP (SuccERP)

論 文 審 査 委 員

主査

永井由佳里

北陸先端科学技術大学院大学

理事

Huynh Nam Van

同教授

郷右近英臣

同准教授

由井薗隆也

同准教授

Chun-Liang Tung

National Chin-Yi University of Technology 准教授

論文の内容の要旨
Our dissertation is mainly focusing on several topics for improving collaboration andcommunication in an enterprise. Come with considering two features of collaboration,unstructured collaboration (information collaboration) and structured collaboration (processcollaboration); we primarily focus on two representative applications: email and EnterpriseResource Planning (ERP) System.

In terms of an enterprise, most of the current research result struggles to achieve specificand practical goals by proposed theoretical findings in the ERP domain. To allow themanagers to get a fuller picture of all the messages generated from an ERP system with theEnterprise Collaboration System (ECS) and improve collaboration and communication, we

propose a complete method to develop an artifact-SuccERP based on the Design Science
approach to carry out the integration. Based on exploring multiple ERP systems, wesummarize

ourtasks

intothreeaspects

beforeimplementing

theintegrations:authentication, data initialization, and specific procedures implementation; we also explain
how the data-processing and integrations between the ERP and ECS.

In our perspective, we can distinguish our contribution of the proposed SuccERP into twoparts; 1) We present a complete demonstration of how to get the architecture and database

schema of an existing ERP system and address the internal and external hosting issues. 2)

According to a series of literature reviews, we implement the integration based on thecritical success factors and existing issues discussed in the previous studies. In other words,
we attempt to fill up the gap in communication and collaboration capabilities by enhancing

the ERP and ECS systems' integrations. Meanwhile, we fulfill the data-processing anddata-sharing from an ERP system to the external resources. Given the context of theincreasing demands of custom ERP, it is reasonable to provide elaborate research as aguideline to those enterprises that plan to upgrade and enhance their ERP systems.

Furthermore, based on our results, follow-up research can explore the implementation withother external resources for improving different issues.

Next, the definition of information collaboration is employees applying IT tools tocommunicate and request assistance (answer); email is the most standard documentation

tool for communication. Although existing studies use the topic model to support users forclassifying emails, they disregard that humans are not like a machine that can focus on all

the words in an email to determine the distribution of email topics. The Latent Dirichlet

Allocation (LDA) model forms a basis for inferring topics; our work aims to discover howeach word's visual attention influences the topic inference and estimates attention to a word
according to its location features.

By reviewing the visual-spatial research and the state-of-the-art visual attention models, weselect the Bayesian Models to estimate attention and proposing a novel model-Attention
orientation Latent Dirichlet Allocation model (AttLDA). In AttLDA, each email can regard
as encoded into a two-dimensional space, taking the line length (the characters per line inan email) and window size (the number of lines in an email) into account. After that, draw

the optimal display size as a visual space and assigning each word's location. Besides

location, attention estimation also considers the Term Frequency and Inverse Document
Frequency (TFIDF) and inferred topics for each iteration. Our aim is as follows; the readers
can not completely capture all the hidden topics behind each word in an email, especially thecontext in the forwarded message. Moreover, our result shows each email's topic distribution

and including the distribution of related words' attention in each topic by considering thevisual attention as the significance of an email's topic distribution. In our experiment, weconsider the public Enron email corpus as a dataset and apply the Perplexity metrics tomeasure the performance of AttLDA. AttLDA is outperforming the previous research on theperplexity evaluation.

Advanced technology has made the communication distance between people shorter thanever before and accumulates the number of messages quicker and quicker. People might
quickly out of control for managing their messages owing to their negligence. Our research

proposes the SuccERP, which builds a platform to manage ERP and ECS messages throughdefinite guidelines to keep communication efficiency. On the other hand, we also proposed

the AttLDA to effectively extract the email topics to improve email message management
performance. The research findings can be regarded as a strategy for settling further tasks
relating to collaboration in an enterprise.

Keywords: Latent Dirichlet Allocation (LDA), Visual Attention, Email Management,

Enterprise Resource Planning (ERP), Enterprise Collaboration Systems (ECS), DesignScience (DS).

論文審査の結果の要旨
Yung-Yu LIN の博士論文は、現代の企業社会において誰もが利用しつつも過剰な頻度のために不便を被りかねない電子メールによるコミュニケーションの問題や、煩雑な業務タスクの整理を含む、実務上の課題を背景とした研究である。デジタルメッセージを主としたビジネス場面でのスマート化に関する問題解決に資する研究成果を目指して、人の視覚的認知プロセスに着目し、トピックモデルとして、独自に考案した Latent Dirichlet Allocation model によるシステムを構築し、実装によりその評価を行った。このモデルは本研究が従来の手法に勝る新しい方法を検討する上で、技術的解決のみならず、その根拠となりうる人間の知覚特性にまで掘り下げて追及したことで得られたものであり、人間中心設計の理念に依拠した、優れた方策である。Enterprise
resource planning （ERP） と Enterprise collaboration system（ECS）の統合を実現する
SuccERP を構想し、実務的な有用性を示している。博士後期課程の 3 年間で、実際の企業活動に通用するシステムを作りあげ、使用過程における検証を行うことは、社会ニーズに対する直接的な貢献を可能とする方法であり、知識科学が議論してきた人間の知、組織の知、社会の知への総合的アプローチの事例として、有意義な取り組みであることが示されている。先行研究についても体系的に検討しており、実務的な動機を学術的知見の集積と応用に展開することに成功している。

企業のビジネス・マネジメントを効率化するシステム改革をデザイン科学の観点から議論し、自身の開発するソフトウェアによる実現にチャレンジしたことは、知識科学が課題としている、知識創造とその活用による社会的価値の創出プロセスと結びついており、技術開発の側面のみならず、マネジメント研究への貢献も認められる。

以上、本論文は、企業活動の場面で用いられるメッセージやメールによるコミュニケーションのために新規なトピック推論の仕組みを構築したものであり、学術的に貢献するところが大きい。
よって博士（知識科学）の学位論文として十分価値あるものと認めた。