JAIST Repository
https://dspace.jaist.ac.jp/Title

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

ABSTRACTOur dissertation is mainly focusing on several topics for improving collaborationand communication in an enterprise. Come with considering two features ofcollaboration, unstructured collaboration (information collaboration) and structuredcollaboration (process collaboration); we primarily focus on two representative
applications: email and Enterprise Resource Planning (ERP) System.
In terms of an enterprise, most of the current research result struggles to achieve
specific and practical goals by proposed theoretical findings in the ERP domain. To
allow the managers to get a fuller picture of all the messages generated from an ERP
system with the Enterprise Collaboration System (ECS) and improve collaboration andcommunication, we propose a complete method to develop an artifact-SuccERP basedon the Design Science approach to carry out the integration. Based on exploring
multiple ERP systems, we summarize our tasks into three aspects before implementing
the integrations: authentication, data initialization, and specific procedures
implementation; we also explain how the data-processing and integrations between theERP and ECS.
In our perspective, we can distinguish our contribution of the proposed SuccERP
into two parts; 1) We present a complete demonstration of how to get the architectureand 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 theintegration based on the critical success factors and existing issues discussed in theprevious studies. In other words, we attempt to fill up the gap in communication andcollaboration capabilities by enhancing the ERP and ECS systems' integrations.
Meanwhile, we fulfill the data-processing and data-sharing from an ERP system to theexternal resources. Given the context of the increasing demands of custom ERP, it isreasonable to provide elaborate research as a guideline to those enterprises that plan toupgrade and enhance their ERP systems. Furthermore, based on our results, follow-up
research can explore the implementation with other external resources for improving
different issues.
Next, the definition of information collaboration is employees applying IT tools
to communicate and request assistance (answer); email is the most standard
documentation tool for communication. Although existing studies use the topic modelto support users for classifying emails, they disregard that humans are not like amachine that can focus on all the words in an email to determine the distribution ofemail topics. The Latent Dirichlet Allocation (LDA) model forms a basis for inferring
topics; our work aims to discover how each 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, we select 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 in an 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 assigningeach word's location. Besides location, attention estimation also considers the Term
Frequency and Inverse Document Frequency (TFIDF) and inferred topics for eachiteration. Our aim is as follows; the readers can not completely capture all the hidden
topics behind each word in an email, especially the context in the forwarded message.
Moreover, our result shows each email's topic distribution and including the distributionof related words' attention in each topic by considering the visual attention as thesignificance of an email's topic distribution. In our experiment, we consider the public
Enron email corpus as a dataset and apply the Perplexity metrics to measure theperformance of AttLDA. AttLDA is outperforming the previous research on theperplexity evaluation.
Advanced technology has made the communication distance between people
shorter than ever before and accumulates the number of messages quicker and quicker.
People might quickly out of control for managing their messages owing to theirnegligence. Our research proposes the SuccERP, which builds a platform to manage
ERP and ECS messages through definite 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).