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276E-<strong>Commerce</strong>Fig. 4.3-3 The data structure of organizational positions and their file permission data(September)Next, in the following month, when the temporal project “ProjectA” is complete and twostaff members from different departments are assigned to the project temporally, as seen inFig 4.3-4, a user creates a formula and adds it to the previous formula (formula 4.3-4).formula 4.3-4:(formula4.3-3)+OrgInfo(Oct.×(HQ1(SalesDept.(Staff(Kodama+Morihashi)+Dept.Head×Arai)+PersonnelDept.(Staff×Seki)+HQ1Head×Ishiguro+ProjectA(Kodama+Seki))))Fig. 4.3-4 Data structure of an organization and its staff
The Automatic Attaching Function Based on the Incrementally Modular Abstraction Hierarchy 277In formula 4.3-4, the overlap of projects to an employee is allowed because, if the factors foreach staff member are the same, equivalence is guaranteed in CDS. And, obviously, you seethat a user can add a new project as he/she likes using the + function of CDS.O c t.×pe rsonne lFileem ploye eID na m e age sex ad dre ss d ep t. e xt. te l spec ial m e ntionE 1 0 K ayam a 5 5 m C hiba H Q 1 2 345 particu lar w ith lawE 1 1 … … … … … … …… … … … … … … …O c t.×sale sF ilesalesID prod uctN am e am o unt em ploye eIDS 50 rakuche et 1 0 E 3S 51 … … …… … … …O c t.×c ustom e rF ilecu stom erID na m e age add ress te l e -m ail sp ecia l m en tio nC 100 T anaka 4 5 T okyo 81 -3-1 234-1tan aka@ ... p atant spec ialistC 101 … … … … … …… … … … … … …O c t.×pr ojec tF ileproje ctID proje ctN am e d ate ext.telP 1 pro ject A 2 009/9 /1 2 379P 2 … … …… … … …Fig. 4.3-5 Data for each file (October)And in the same way, when the file structure of employee or customer data changes inOctober (the columns of “ext. tel”, “special mention” are added to the personnel file and thecolumns of “e-mail”,”special mention” are added to the customer file), a user only has tocreate a formula for each piece of data in October as a disjoint union of cellular spacesaccording to the space design and adds it to the previous formula (formula 4.3-5). In doingthis, you don’t need to consider differences in file structure at all.formula 4.3-5:(formula 4.3-4)+FileInfo(Octp.×personnelFile×employeeID{name+age+sex+address+dept.+ext.tel+specialMention}(E10{“Kayama”+55+m+”Chiba”+HQ1+2345+”particular with law”}+E11{…}+…)+Oct.×salesFile×salesID{productName+amount+employeeID}(S50{“rakutrack”+10+E5}+S2{…}+…)+Oct.×customerFile×customerID{name+age+address+tel+e-mail+specialMention}(C100{“Tanaka”+45+”Tokyo”+”81-3-1234-1234”+”tanaka@...”+”patent specialist”}+C101{…}+…))+Oct.×projectFile×projectID{projectName+date+ext.tel}(P1{“projectA”+”2009/09/01”+”2379”}+P2{…}+…)If a user wants to input data for the file permission in October of the year expressed in Fig4.3-6, he/she also creates a formula according to the space design and adds it to the previousformula (formula 4.3-6).formula 4.3-6:(formula 4.3-5)+PermissionInfo(Oct.(HQ1(HQ1Head(r+w)(customerFile+salesFile+personnelFile)+SalesDept.(Dept.1head((r+w)(customerFile+salesFile)+(r)personnelFile(emp
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IE-Commerce
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Published by In-TehIn-TehOlajnica 1
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VIIWe wish to thank the reviewers o
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IXContentsPrefaceV1. A Conceptual F
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A Conceptual Framework and an Exten
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12E-CommerceThe Application Layer c
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14E-CommerceService description. Th
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16E-Commerceunderstanding about the
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18E-CommerceThis chapter contribute
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20E-CommercePorter M (2001). Strate
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22E-CommerceTo evaluate the e-comme
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24E-CommerceAa 2a a4m1 m 2 m 3m (
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26E-CommerceV v ij , i 1,2,...,
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28E-CommerceIndexFuzzy numberAltern
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30E-CommerceS. Mabuchi (1988). An a
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32E-Commercetechnology implementati
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34E-Commerceapplied to study an ind
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36E-Commerce PEOU of the public sec
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38E-CommerceNITC (National Informat
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40E-Commercewill describe the mecha
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42E-Commerce(2) The manner of commu
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44E-CommerceIf ADS is employed in a
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46E-Commerce4.2 Case studyThe detai
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48E-CommerceAs a high-speed develop
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50E-Commerce4.3.2 The architecture
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52E-Commerceone conclusion is that
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54E-Commerce
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56E-Commerceorganizations expose de
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58E-Commercerules. Such adapters ne
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60E-CommerceThe third level of inve
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62E-Commercecommon “language” h
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64E-Commercewell described in (Mül
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66E-Commerce3.3 Organizational Comp
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68E-Commercethe interaction of defi
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70E-CommerceAs a first step towards
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72E-Commerce5. Conclusion and Outlo
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74E-CommerceSchmid, B. F., Schroth,
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76E-CommerceThe following section p
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78E-Commerce(a) G cooc(b) G overlap
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80E-CommerceBetweenness centrality
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82E-Commerce4.1.1 Generating Networ
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84E-CommerceThe resultant value som
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86E-CommerceG shareholdershareholdi
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88E-Commerce17: Murata Noda Screen
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90E-Commerceand testing data in the
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92E-Commerce(c) Centrality-based ra
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Ranking Companies Based on Multiple
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Ranking Companies Based on Multiple
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Considering Culture in Designing We
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Consumer Responses to Colors of E-C
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120E-Commerce4. Research methodOur
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122E-Commerceavailable information
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124E-CommerceNewsvine Green. Starti
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126E-CommerceProcedureRespondents w
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128E-Commerce6. Data analysis and r
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130E-CommerceHue 1Newsvine Green (d
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132E-CommerceEffects of graphic cha
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134E-Commercethe consumer retains w
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136E-Commercemaintain, load more ra
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138E-CommerceBellizzi J. A. & Hite
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140E-CommerceHill A. & Scharff L. V
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142E-CommerceSpool J. M., Scanlon T
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144E-CommerceConsequently, we concl
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146E-CommerceDimensionsSystems qual
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148E-Commercefunction deployment (Q
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150E-CommerceUseful help serviceEle
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152E-Commerceplanning, enacting and
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154E-Commercecomplete and measurabl
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156E-Commerce There is "About us" s
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158E-Commerce Validation testing -
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160E-Commercefor the Websites (Lohs
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162E-CommerceSinnappan S., Carlson
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164E-Commercerecommendations of a t
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166E-Commerce3.1 Neighborhood Based
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168E-Commerce3.3 Significance Weigh
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170E-Commerce , u1 0,fR5fuR1 u2else
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172E-CommerceFigure 6 shows the ste
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174E-CommerceMAE0.750.740.730.720.7
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Improving performance in recommende
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Attacks on Two Buyer-Seller Waterma
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Electronic Commerce Readinessin Dev
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