本文關(guān)鍵詞： 企業(yè)信息系統(tǒng) 數(shù)據(jù)復(fù)雜性 信息熵 復(fù)雜性格空間 信息系統(tǒng)維護(hù)　出處：《江蘇科技大學(xué)》2017年博士論文　論文類型：學(xué)位論文

【摘要】：準(zhǔn)確測(cè)量信息系統(tǒng)的復(fù)雜性是解決系統(tǒng)成本估算、合理報(bào)價(jià)以及進(jìn)行維護(hù)優(yōu)化的基礎(chǔ),現(xiàn)有的研究成果或?qū)⑿畔⑾到y(tǒng)視為軟件技術(shù)系統(tǒng),從軟件的代碼、結(jié)構(gòu)或?qū)ο蟮确矫嫣剿飨到y(tǒng)的復(fù)雜性;或拓展到信息系統(tǒng)管理視角,關(guān)注信息系統(tǒng)設(shè)計(jì)、開(kāi)發(fā)階段的復(fù)雜程度,但就當(dāng)前眾多研究成果而言,鮮有學(xué)者關(guān)注信息系統(tǒng)運(yùn)行階段的復(fù)雜性。為彌補(bǔ)當(dāng)前的研究缺陷,本文基于數(shù)據(jù)視角,提出構(gòu)建能夠全面衡量企業(yè)信息系統(tǒng)設(shè)計(jì)、開(kāi)發(fā)和運(yùn)行階段復(fù)雜性的模型和度量方法,并進(jìn)行應(yīng)用探索,以期為信息系統(tǒng)復(fù)雜性的理論研究和實(shí)踐管理提供借鑒和參考。為了全面、準(zhǔn)確地測(cè)量企業(yè)信息系統(tǒng)復(fù)雜性,本文基于表征理論,從信息系統(tǒng)的數(shù)據(jù)內(nèi)涵出發(fā),提出“數(shù)據(jù)復(fù)雜性”的概念,構(gòu)建相應(yīng)的理論模型;基于該模型開(kāi)發(fā)復(fù)雜性度量方法及其對(duì)應(yīng)的度量工具;將所提出的模型與度量方法與傳統(tǒng)模型方法進(jìn)行對(duì)比驗(yàn)證,論證模型與方法的有效性;在此基礎(chǔ)上,通過(guò)對(duì)7家制造企業(yè)162個(gè)信息系統(tǒng)的實(shí)際數(shù)據(jù)的實(shí)證分析,驗(yàn)證了企業(yè)信息系統(tǒng)的數(shù)據(jù)復(fù)雜性對(duì)維護(hù)價(jià)格的影響;最后設(shè)計(jì)了基于動(dòng)態(tài)數(shù)據(jù)復(fù)雜性的適應(yīng)性維護(hù)策略。論文的主要工作如下:(1)提出了“數(shù)據(jù)復(fù)雜性”概念并構(gòu)建理論模型。圍繞“信息系統(tǒng)的本質(zhì)是什么?是否能夠結(jié)合其本質(zhì)來(lái)探索其復(fù)雜性?包含哪些方面?”的問(wèn)題,基于表征理論中數(shù)據(jù)視圖體現(xiàn)對(duì)現(xiàn)實(shí)世界表征的內(nèi)涵分析,提出“數(shù)據(jù)復(fù)雜性”的概念,接著,依據(jù)表征理論的三個(gè)前提假設(shè)將模型具體分為數(shù)據(jù)模型、數(shù)據(jù)操作范圍、數(shù)據(jù)操作強(qiáng)度和數(shù)據(jù)量四個(gè)維度,分析了數(shù)據(jù)復(fù)雜性與有效應(yīng)用的關(guān)系,以及驅(qū)動(dòng)企業(yè)信息系統(tǒng)復(fù)雜性的因素,并探討了該模型可能的理論貢獻(xiàn)。該模型擴(kuò)展了表征理論的應(yīng)用領(lǐng)域,是信息系統(tǒng)復(fù)雜性研究的新視角。(2)設(shè)計(jì)了企業(yè)信息系統(tǒng)的數(shù)據(jù)復(fù)雜性度量方法。圍繞“信息系統(tǒng)的數(shù)據(jù)復(fù)雜性能否定量測(cè)量?如何測(cè)量?”的問(wèn)題,結(jié)合信息熵和復(fù)雜性格空間理論,設(shè)計(jì)基于企業(yè)信息系統(tǒng)數(shù)據(jù)復(fù)雜性的度量模型和度量方法,并據(jù)此開(kāi)發(fā)了一套有效的數(shù)據(jù)復(fù)雜性度量工具,并運(yùn)用該工具分別計(jì)算和分析了企業(yè)應(yīng)用和電子政務(wù)應(yīng)用兩類信息系統(tǒng)的數(shù)據(jù)復(fù)雜性,分析結(jié)果表明,首先,數(shù)據(jù)復(fù)雜性特征與企業(yè)的業(yè)務(wù)特征相一致,這與表征理論的假設(shè)相吻合;其次,運(yùn)行階段的數(shù)據(jù)量復(fù)雜性對(duì)整體復(fù)雜性的貢獻(xiàn)更大,凸顯了該模型能夠反映運(yùn)行階段特征的優(yōu)勢(shì),最后,相較于企業(yè)信息系統(tǒng),電子政務(wù)系統(tǒng)的數(shù)據(jù)操作復(fù)雜性對(duì)整體的影響更大,體現(xiàn)了電子政務(wù)系統(tǒng)應(yīng)用范圍更廣,強(qiáng)度更大的特征。(3)驗(yàn)證了企業(yè)信息系統(tǒng)數(shù)據(jù)復(fù)雜性度量方法的有效性。圍繞“信息系統(tǒng)的復(fù)雜性測(cè)量方法是否有效?”的問(wèn)題,將提出的企業(yè)信息系統(tǒng)數(shù)據(jù)復(fù)雜性的度量方法與傳統(tǒng)的體系結(jié)構(gòu)復(fù)雜性度量方法進(jìn)行比較驗(yàn)證。通過(guò)橫向比較3家不同公司的同一個(gè)信息系統(tǒng)(物資管理信息系統(tǒng))的數(shù)據(jù)復(fù)雜性,縱向分析同一家公司不同信息系統(tǒng)(物資管理信息系統(tǒng)與成本管理信息系統(tǒng))復(fù)雜性,結(jié)果均表明,信息系統(tǒng)的數(shù)據(jù)復(fù)雜性度量方法相較于傳統(tǒng)的度量方法,具有度量模型更加全面、度量方法的動(dòng)態(tài)性考慮更充分等優(yōu)勢(shì)。(4)探索了數(shù)據(jù)復(fù)雜性與企業(yè)信息系統(tǒng)維護(hù)的關(guān)系。圍繞“信息系統(tǒng)的復(fù)雜性會(huì)造成怎樣的影響?”的問(wèn)題,構(gòu)建了基于企業(yè)信息系統(tǒng)數(shù)據(jù)復(fù)雜性的“設(shè)計(jì)復(fù)雜性—開(kāi)發(fā)復(fù)雜性—運(yùn)行復(fù)雜性—維護(hù)價(jià)格”的多階段研究模型,并通過(guò)對(duì)7家大中型制造企業(yè)162個(gè)系統(tǒng)的實(shí)際數(shù)據(jù)進(jìn)行檢驗(yàn),實(shí)證結(jié)果表明,數(shù)據(jù)復(fù)雜性、維護(hù)服務(wù)水平以及系統(tǒng)使用時(shí)間均會(huì)顯著影響后期的維護(hù)價(jià)格,依據(jù)此結(jié)論,企業(yè)可以從數(shù)據(jù)復(fù)雜性角度,設(shè)計(jì)更加合理的維護(hù)價(jià)格模型。(5)提出了以企業(yè)信息系統(tǒng)的動(dòng)態(tài)復(fù)雜性為依據(jù)的適應(yīng)性系統(tǒng)維護(hù)策略。圍繞“如何通過(guò)理解信息系統(tǒng)的復(fù)雜性,為制定有效的管理措施提供幫助?”的問(wèn)題,構(gòu)建了基于動(dòng)態(tài)數(shù)據(jù)復(fù)雜性的維護(hù)策略空間,接著通過(guò)計(jì)算3家大中型制造企業(yè)物資管理系統(tǒng)運(yùn)行過(guò)程中產(chǎn)生的動(dòng)態(tài)復(fù)雜性,依據(jù)維護(hù)策略空間進(jìn)行針對(duì)性的維護(hù)策略設(shè)計(jì)。結(jié)果表明,基于分析結(jié)果制定的維護(hù)策略更能適應(yīng)業(yè)務(wù)特征,可以提高信息系統(tǒng)維護(hù)的服務(wù)效率。
[Abstract]:The accurate measurement of the complexity of information system is to solve the system cost estimation, reasonable pricing and maintenance optimization based on the existing research results or information system as a software system, the software code, to explore the complexity of the system structure or objects; or to expand the perspective of management information system, pay attention to the information system design, complex the degree of development, but the large number of research results, the complexity of operation and few scholars pay attention to information system. In order to make up for the defects of the current research, this paper based on the data perspective, put forward to design a comprehensive measure of enterprise information system development and operation stage the complexity of the model and measurement methods, and provide reference and application exploration. The reference to the information system complexity theory research and practice management. In order to fully and accurately measure the complexity of enterprise information system In this paper, based on the representation theory, starting from the data of information system connotation, puts forward the concept of "data complexity", construct the corresponding theoretical model; the model development and the corresponding measure of complexity measurement tool based on the proposed model; and the traditional measurement method and model method are validated to demonstrate the effectiveness of the model and method; on this basis, through the empirical data of the 7 manufacturing enterprises 162 information system analysis, verify the enterprise information system to maintain data complexity of price influence; finally design based on dynamic data complexity adaptive maintenance strategy. The main contents are as follows: (1) put forward the "data complexity". The concept and construct a theoretical model. Focusing on "what is the nature of information system? Whether can combine its essence to explore its complexity? Include what?", base In the data representation theory in view of the real world embodies the concept of characterization analysis, put forward the "data complexity" concept, then, on the basis of the three hypotheses theory of representation model will be divided into specific data model, data operation range, the four dimensions of the intensity and amount of data operation, analyzes the relationship between the data complexity and effective application well, the driving factors of the complexity of enterprise information system, and discusses the theoretical contribution of this model. This model may expand the application field of representation theory, which is a new perspective of the complexity of information. (2) the data complexity of enterprise information system. The data measure around the "complexity of information system can be quantitative measurement? How to measure?", combined with information entropy and complex character space theory, the design of measurement model and measurement method of enterprise information system based on data complexity, and According to the development of a set of effective data complexity measurement tools, data complexity and using the tools of enterprise applications and e-government information system and application of two types of calculation respectively, analysis results show that, first, business features and characteristics of the complexity of enterprise data consistent with this characterization coincides with the theoretical assumptions; secondly, the amount of data complexity of operation period of contribution to the overall complexity of the larger, highlights the model can reflect the characteristics of the operational phase of the advantage, finally, compared to the effect of the enterprise information system, the complexity of data operation of e-government system on the whole more embodies the application of e-government system more widely, characteristics of greater strength. (3) to verify the effectiveness of enterprise information system data complexity measure method. Around the "complexity measurement method of information system is effective?", the enterprise The architecture complexity measure complexity of information system data and the traditional measurement methods are compared and verified. The same information system through the comparison of 3 different companies (Management Information System) data complexity, longitudinal analysis of the same company in different information systems (material management information system and information system complexity, cost management) results show that the method for measuring data complexity of information system compared with the traditional measurement method, a measurement model is more comprehensive and dynamic evaluation method to consider more fully the advantages. (4) to explore the relation between data complexity and enterprise information system maintenance. Around the "complexity of information system will impact?" the problem, build enterprise information systems based on data complexity "design complexity - development complexity - operation complexity - maintenance price" Study on multi stage model, and verified by actual data of 7 large and medium-sized manufacturing enterprises of the 162 systems, the empirical results show that the data complexity, maintenance service level and the service time of the system can be significantly influenced the late maintenance price, on the basis of the conclusion, enterprises can to data from the perspective of complexity, maintenance of price model design more reasonable. (5) proposed the dynamic complexity of enterprise information system for maintenance strategy adaptability system based on "how to understand. Through the complexity of information systems, to provide help for the development of effective management measures?", constructs the dynamic complexity of data maintenance strategy based on space, and then through the dynamic complexity calculation 3 large and medium sized manufacturing enterprise material management system in the operation process, based on the maintenance strategy for space design maintenance strategy. The results show that based on The maintenance strategy developed by the analysis results can be more adapted to the business characteristics and can improve the service efficiency of the information system maintenance.

【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：F270.7
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本文編號(hào)：1535425