scholarly journals Enterprise Information Management in Cultural Heritage Domain

2018 ◽  
pp. 3-14
Author(s):  
Cezary Mazurek ◽  
Marcin Werla
Keyword(s):  
Cultural Heritage ◽  
Information Management ◽  
Enterprise Information

Microarray Enterprise Information Management

2006 ◽  
pp. 221-240
Author(s):  
Peter Morrison ◽  
Pankaj Prakash ◽  
Soheil Shams
Keyword(s):  
Information Management ◽  
Enterprise Information

Research of Enterprise Information System Based on SOA Architecture

2010 ◽  
Vol 26-28 ◽  
pp. 457-461
Author(s):  
Min Peng ◽  
Jun Tang
Keyword(s):  
Information System ◽  
Information Management ◽  
Object Oriented ◽  
Management Systems ◽  
Enterprise Information System ◽  
Enterprise Information ◽  
Information System Architecture ◽  
Information Management Systems ◽  
System Architecture Design ◽  
Oriented Layer

This paper describes the basic theory of SOA architecture and the related technologies to achieve SOA, presents a simplified information system architecture design based on SOA architecture, one by one analyzes the function of each layer, and in detail designs the object-oriented layer, SOA service bus, finally analyzes the SOA application in enterprise information management systems and its prospect.

A retrospective overview of Journal of Enterprise Information Management using bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naveen Donthu ◽  
Gaurav Kumar Badhotiya ◽  
Satish Kumar ◽  
Gunjan Soni ◽  
Nitesh Pandey
Keyword(s):  
Retrospective Analysis ◽  
Information Management ◽  
Descriptive Analysis ◽  
Resource Planning ◽  
Enterprise Information ◽  
Content Type ◽  
Regression Methods ◽  
Manufacturing Resource Planning ◽  
Manufacturing Resource ◽  
The Impact

PurposeJournal of Enterprise Information Management (JEIM) is a leading journal that publishes studies on applied information management relevant to industry personals, academicians and researchers. This study uses bibliometric tools to present a retrospective analysis of the journal's outcomes.Design/methodology/approachThe authors applied bibliometric tools for analysing the impact, topic coverage, renowned authors with affiliation, citation, methodology and analysis of the JEIM corpus. Additionally, they used bibliographic coupling to develop a graphical visualisation and analyse the journal's thematic evolution.FindingsWith 16 yearly articles, JEIM contributed 656 research articles on various themes. The major themes that have come to define the JEIM over this time include information and systems, supply chain management, manufacturing resource planning, communication technologies and small- to medium-sized enterprises. Empirical methodology, quantitative techniques with descriptive analysis and regression methods are the most preferred. The article's primary research purpose shows the majority of theory-verifying articles. Co-authorship analysis reveals that the single-author trend is decreasing and the journal now has articles with international collaborations.Originality/valueThis study is the retrospective analysis of the JEIM, which is useful for aspiring contributors and the journal's editors.

Mastering Intelligent Decision Support Systems in Enterprise Information Management

2017 ◽  
pp. 35-56 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Information Management ◽  
Support Systems ◽  
Management Systems ◽  
Enterprise Information ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems ◽  
Information Management Systems ◽  
Intelligent Decision Support

This chapter explains the overview of Intelligent Decision Support Systems (IDSSs); the overview of Enterprise Information Management (EIM); the IDSS techniques for EIM in terms of Expert System (ES), Multi-Agent System (MAS), Fuzzy Logic (FL), Artificial Neural Network (ANN), Evolutionary Computation (EC), and Hybrid System (HS); and the multifaceted applications of IDSSs in EIM. IDSS techniques are rapidly emerging as the modern tools in information management systems and include various techniques, such as ES, MAS, FL, ANN, EC, and HS. IDSS techniques can increase the sensitiveness, flexibility, and accuracy of information management systems. IDSS techniques should be implemented in modern enterprise in order to gain the benefits of using the decision-making process concerning EIM. The chapter argues that utilizing IDSS techniques for EIM has the potential to increase organizational performance and reach strategic goals in global operations.

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