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題名:物流資訊系統的典範轉移:知識生產隱形網路的觀點
作者:胡福進
作者(外文):Fu-Jin Hu
校院名稱:長榮大學
系所名稱:經營管理研究所
指導教授:林財源
林秋娟
學位類別:博士
出版日期:2017
主題關鍵詞:物流資訊系統典範轉移智慧結構隱形知識網絡書目計量學社會網絡分logistics information system (LIS)paradigm shiftsintellectual structureinvisible network of knowledge(INK)bibliometric techniquessocial network analysi
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本研究之目的為利用物流資訊系統文獻,探討物流資訊系統的
無形知識網絡及其典範轉移。研究方法上, 2016年以前採用
INK(invisible network of knowledge)方法的書目計量學、標籤雲和社
會網絡分析技術,主要以2006 年至 2015 年發表在 SCI 與 SSCI
期刊有關物流資訊系統議題的研究文獻為對象,總計分析25,950 篇
文章及 569,113 筆參考文獻資料,並分析2006-2010到2011-2015年
間典範轉移(paradigm shift)。在2016年以後,本研究應用引用文獻
滾雪球法(citation pearl growing),採用目前雲端科技物流資訊系統
文獻推論未來的新的雲端科技物流資訊系統的典範轉移。
在2015年以前是庫存控制期、MRP期、MRPII期、ERP期、VEI
期是傳統的科技時代,未來是指2016年以後是新的雲技術時期,未
來物流資訊系統將朝向自動化工業4.0和物聯網(IOT)的智慧物流
方向發展。
本研究結果發現,物流資訊系統的研究呈現五個主要的典範轉
移的趨勢:
(1)高度引用文獻的典範轉移。
(2)因素分析的典範轉移。
(3)網絡分析的典範轉移。
(4)中心分析的典範轉移。
(5)集群分析的典範轉移。
本研究實務意涵,物流資訊系統有系統動力學(system dynamics)、
工作夥伴關係、供應鏈協調(supply chain coordination)、信息失真
( information distortion)、模型的方法(models method) 、構念的測量
(constructs measurements ) 、綠色供應鏈管理(green supply chain
management)、風險管理(risk management)、長鞭效應(bullwhip effect)、
全球供應鏈設計(global supply chain design) 等重要議題。本研究提出
一個可以讓學術界及實務界更了解物流資訊系統研究發展趨勢
之方法,此方法可描繪出物流資訊系統研究領域的智慧結構及闡明
其研究領域的發展及變化。
The purpose of this study is to use the logistics information system
literature to explore the logistics information system of the intangible
knowledge network and its exemplary shift. Based on the research
method, we use bibliometrics, tag cloud and social network analysis
techniques to examine the INK (invisible network of knowledge)
method before 2016, mainly looking at studies published from 2006 to
2015 in SCI and SSCI journals related to the issue of logistics
information system research. This study includes a total analysis of
25,950 articles and 569,113 reference materials, and analysis of the
model transfer (paradigm shift) from 2006-2010 to 2011-2015. After
2016, this study uses the citation pearl growing strategy, which uses the
current cloud technology logistics information system literature to infer
the future of new cloud technology logistics information systems after
model transfer.
In 2015, before the stock control period, MRP period, MRPII period,
and ERP period, the VEI period was the traditional era of science and
technology. After 2016, the new cloud technology era began, marking
the future development direction of logistics information systems based
on industry 4.0 automation and the networking (IoT) wisdom of
logistics.
The results of this study show that the research of logistics
information system presents five major trends of model transfer:
(1) a high degree of references to the model of the transfer.
(2) a model transfer of factor analysis.
(3) model analysis of network transfer.
(4) model analysis of the central shift.
(5) model analysis of cluster analysis.
In this study, the logistics information system includes system
dynamics, working partnership, supply chain coordination, information
distortion, model method, construction of measurements, green supply
chain management, risk management, bullwhip effect, global supply
chain design, and other important issues. This study presents a way to
make academic and practical circles more aware of the development of
trends in logistics information systems. This method can describe the
structure of logistics information system research and clarify the
development and changes in this research
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