第六章 結論與建議
附錄 1 奇異企業模式彙整
A. 方程式一覽表
productQuality_Increase = (productInnovation2_ProductQuality +
productionEfficiency2_ProductQuality)/2 *productQualityGap ···1A productQualityGap = productQualityMax-productQuality ···2 A productQuality(t) = productQuality(t - dt) + (productQuality_IncreasePerYr -
productQuality_DecreasePerYr) * dt···3 L INIT productQuality = 50 ···3.1 N productQualityIncreasePerYr = productQualityIncrease···4 R produc tQualityDecreasePerYr = productQuality*productQuality_DecreaseRate ····5 R productQualityDecreaseRate = 5/100 ···6 C serviceQualityMax = 100···7 C serviceQualityGap = serviceQualityMax-serviceQuality···8 A serviceQualityIncrease =
(serviceQuality_IncreaseIndex-DELAY(serviceQuality_IncreaseIndex, 1))
*serviceQualityGap···9 A serviceQualityIncreasePerYr = serviceQualityIncrease ···10 R serviceQuality(t) = serviceQuality(t - dt) + (serviceQuality_IncreasePerYr -
serviceQuality_DecreasePerYr) * dt···11 L INIT serviceQuality = 50 ···11.1 N serviceQualityDecreasePerYr = serviceQuality*serviceQuality_DecreaseFactor ··12 R serviceQuality_DecreaseFactor = 3/100 ···13 C competitionIndex = GRAPH(productQuality * qualityWeight + serviceQuality* (1 - qualityWeight))
63.5), (70.0, 85.5), (80.0, 95.5), (90.0, 98.0), (100, 100)···14 G qualityWeight = GRAPH(time)
(1970, 0.9), (1978, 0.7), (1985, 0.6), (1993, 0.45), (2000, 0.4) ···15 G competitionIndexVariation = (competitionIndex-DELAY(competitionIndex,
1))/competitionIndex···16 A expanse = totalCostOfManagemtnControl + totalCostOfPattern + totalHR_Cost··17 R profit(t) = profit(t - dt) + (revenueWithoutNormalExpanse - expanse) * dt···18 L INIT profit = 16···18.1 N revenueWithoutNormalExpanse = revenue * revenue2NormalExpanseRate···19 R revenue2NormalExpanseRate = 60/100 ···20 C satisfiedCustomersVariation =companyMarketSize * competitionIndex_Variation21 A SCoutRateFrom_LevelOfControl = GRAPH(levelOfControl)
(1.00, 0.0255), (2.00, 0.027), (3.00, 0.0345), (4.00, 0.036), (5.00, 0.042), (6.00,
0.0495), (7.00, 0.0735), (8.00, 0.141), (9.00, 0.27), (10.0, 0.295), (11.0, 0.297) ····22 G SCoutRateBase = 1/100 ···23 C SCoutRate = SCoutRateBase+SCoutRateFrom_LevelOfControl···24 A SCIn = satisfiedCustomers_Variation···25 R satisfiedCustomers(t) = satisfiedCustomers(t - dt) + (SCIn - SCout) * dt ···26 L INIT satisfiedCustomers = 3 ···26.1 N SCout = satisfiedCustomers*SCoutRate···27 R rebuyRateOfSC = 30/100···28 C averageSpendOnEachCustomer = 30 ···29 C revenue = (satisfiedCustomers * averageSpendOnEachCustomer * rebuyRateOfSC)
···30 A investment = revenue*revenueToInvestmentRate ···31 A
companyMarketSize(t) = companyMarketSize(t - dt) + (marketSizeIncrease_PerYr) * dt···33 L INIT companyMarketSize = 30 ···33.1 N marketSizeIncrease_PerYr = companyMarketSize * marketSize_IncreaseRate···34 R marketSize_IncreaseRate = GRAPH(time)
(1970, 0.0354), (1973, 0.0516), (1976, 0.0692), (1979, 0.0975), (1982, 0.13), (1985, 0.157), (1988, 0.21), (1991, 0.26), (1994, 0.285), (1997, 0.297), (2000, 0.299) 35 C productionEfficiency2_ProductQuality =GRAPH(productionEfficiency)
(0.00, 0.03), (10.0, 0.0375), (20.0, 0.045), (30.0, 0.066), (40.0, 0.084), (50.0, 0.114), (60.0, 0.174), (70.0, 0.239), (80.0, 0.272), (90.0, 0.291), (100, 0.3) ···36 G productionEfficiency = GRAPH(managementEfficiency)
(0.00, 1.00), (10.0, 8.00), (20.0, 11.5), (30.0, 15.0), (40.0, 18.5), (50.0, 24.5), (60.0, 37.5), (70.0, 77.0), (80.0, 89.0), (90.0, 97.5), (100, 100)···37 G managementEfficiency = GRAPH(levelOfControl)
(3.00, 31.5), (3.80, 33.0), (4.60, 36.5), (5.40, 39.0), (6.20, 48.0), (7.00, 59.0), (7.80, 78.5), (8.60, 88.5), (9.40, 92.5), (10.2, 94.5), (11.0, 96.5)···38 G levelOfControl(t) = levelOfControl(t - dt) + (levelIncreasingPerYr) * dt ···39 L INIT levelOfControl = 4 ···39.1 L levelIncreasingPerYr = SMTH1(levelIncreasing, 2) ···40 R levelIncreasing = (investmentIn_ManagementComplexity /
oneUnitCostOfLevelOfControl)*levelOfControlGap ···41 A levelOfControlGap = (levelOfControlMax- levelOfControl) / levelOfControlMax 42 A levelOfControlMax = 11 ···43 C oneUnitCostOfLevelOfControl = 0.5 ···44 C costOfMaintain_LevelOfControl = GRAPH(levelOfControl)
(1.00, 1.00), (1.80, 2.23), (2.60, 3.21), (3.40, 3.45), (4.20, 4.19), (5.00, 5.17), (5.80,
6.39), (6.60, 14.0), (7.40, 37.0), (8.20, 47.8), (9.00, 50.0)···45 G totalCostOfManagemtnControl = costOfMaintain_LevelOfControl +
costOfmanagemtnControlInvestment ···46 A costOfmanagemtnControlInvestment=investmentIn_ManagementComplexity ···47 A investmentIn_ManagementComplexity = investment *
investmentIn_ManagementComplexityRatio ···48 A investmentIn_ManagementComplexityRatio =
investmentIn_ManagementComplexity_Rate / 100 ···49 R investmentIn_ManagementComplexity_Rate = 0 ···50 C productInnovation2_ProductQuality = GRAPH(patterns)
(0.00, 0.015), (100, 0.025), (200, 0.055), (300, 0.08), (400, 0.105), (500, 0.14), (600, 0.18), (700, 0.27), (800, 0.435), (900, 0.855), (1000, 1.00)···51 T patternOutdateRate = 0.03 ···52 C patternOutflow = patterns*patternOutdateRate ···53 R patterns(t) = patterns(t - dt) + (patternIncreasePerYr - patternOutflow) * dt ···54 L INIT patterns = 100 ···54.1 N patternIncreasePerYr = patternIncrease ···55 R costOfPatternMaintain = (10/100)*costOfEachPattern*patterns ···56 A costOfEachPattern = 0.01 ···57 C patternIncrease =
(investmentIn_ResearchAndDevelopment/costOfEachPattern)*patternGap ···58 A patternGap = (patternGoal-patterns)/patternGoal···59 A patternGoal = patterns*patternGoal_IncreaseRate ···60 A patternGoal_IncreaseRate = 115/100 ···61 C totalCostOfPattern = costOfDevelopmentInvestment + costOfPatternMaintain···62 A
investmentIn_ResearchAndDevelopment=investmentInR&D_Ratio*investment ··64 A investmentInR&D_Ratio = investmentInR&DRate/100 ···65 A investmentInR&DRate = 0 ···66 C employeeHiringRate = 4/100 ···67 C employeeHiring_PerYr = totalEmployee*employeeHiringRate ···68 R totalEmployee(t) = totalEmployee(t - dt) + (employeeHiring_PerYr -
employeeFiring_PerYr) * dt ···69 L INIT totalEmployee = 39 ···69.1 N employeeFiring_PerYr = totalEmployee*employeeFiringRate ···70 R employeeFiringRate = GRAPH(time)
(1970, 0.025), (1973, 0.025), (1976, 0.025), (1979, 0.025), (1982, 0.203), (1985, 0.0575), (1988, 0.06), (1991, 0.01), (1994, 0.0425), (1997, 0.0475), (2000, 0.015) ···71 G
totalEmployeeVariationRatio = (totalEmployee - DELAY(totalEmployee, 1)) /
DELAY(totalEmployee, 1) ···72 A employeeFearness_IncreaseBase = 8/100···73 C employeeFearness_IncreaseFactor = (-totalEmployeeVariationRatio*1) + (-
levelOfControl_VariationRatio*1) +employeeFearness_IncreaseBase ···74 A employeeFearness_Increase =
employeeFearnessGap*employeeFearness_IncreaseFactor ···75 A employeeFearnessMax = 100 ···76 C employeeFearnessGap = (employeeFearnessMax-employeeFearness)···77 A confessLevelVariation = (confessLevel - DELAY(confessLevel, 1)) /
DELAY(confessLevel, 1)···78 A employeeFearness_Decrease = confessLevelVariation * employeeFearnessGap *1 ··79
employeeFearness_DecreasePerYr = SMTH1(employeeFearness_Decrease, 3)····80 R employeeFearness(t) = employeeFearness(t - dt) + (employeeFearness_IncreasePerYr - employe eFearness_DecreasePerYr) * dt ···81 L INIT employeeFearness = 30 ···81.1 N employeeFearness_IncreasePerYr = SMTH1(employeeFearness_Increase, 1) ···82 R levelOfControl_VariationRatio = ( levelOfControl - DELAY(levelOfControl, 1)) / DELAY(levelOfControl, 1)···83 A dela yeringDegree = GRAPH(levelOfControl)
(0.00, 98.5), (1.10, 98.0), (2.20, 95.5), (3.30, 89.5), (4.40, 76.5), (5.50, 51.5), (6.60, 31.5), (7.70, 18.5), (8.80, 13.0), (9.90, 10.0), (11.0, 10.0)···84 G delayeringDegree_VariationRatio = (delayeringDegree-DELAY(delayeringDegree, 1))/delayeringDegree 85 A
jobIncreaseFactor = (delayeringDegree_VariationRatio*0.5 +
newIdeasVariationRatio*0.5) ···86 A Noname_1 = IF (newIdeas = 0) THEN 1
ELSE newIdeas···87 A newIdeasVariationRatio = (newIdeas - DELAY(newIdeas, 1))/Noname_1 ···88 A employeeFearness2_newIdeasCreate = GRAPH(employeeFearness)
(0.00, 0.03), (10.0, 0.06), (20.0, 0.14), (30.0, 0.28), (40.0, 0.54), (50.0, 0.81), (60.0, 0.96), (70.0, 0.99), (80.0, 0.985), (90.0, 0.885), (100, 0.36)···89 G managerDeterminationLevel = GRAPH(time)
(1970, 0.085), (1973, 0.11), (1976, 0.15), (1979, 0.21), (1982, 0.295), (1985, 0.375), (1988, 0.54), (1991, 0.785), (1994, 0.935), (1997, 1.00), (2000, 1.00) ···90 G avgBurnout2_newIdeasCreate = GRAPH(avgBurnout)
(0.00, 0.94), (10.0, 0.91), (20.0, 0.88), (30.0, 0.795), (40.0, 0.605), (50.0, 0.53), (60.0, 0.47), (70.0, 0.37), (80.0, 0.315), (90.0, 0.245), (100, 0.165)···91 G
employeePressure2_newIdeasCreate = GRAPH(employeePressure)
(0.00, 0.395), (10.0, 0.455), (20.0, 0.585), (30.0, 0.735), (40.0, 0.92), (50.0, 0.96), (60.0, 0.985), (70.0, 0.975), (80.0, 0.91), (90.0, 0.685), (100, 0.19) ···92 G confessLevel2_newIdeasCreate = GRAPH(confessLevel)
(0.00, 0.135), (10.0, 0.17), (20.0, 0.22), (30.0, 0.245), (40.0, 0.275), (50.0, 0.36), (60.0, 0.58), (70.0, 0.83), (80.0, 0.935), (90.0, 0.99), (100, 1.00)···93 G newIdeasCreateFactor = MIN(avgBurnout2_newIdeasCreate,
confessLevel2_newIdeasCreate, employeeFearness2_newIdeasCreate,
employeePressure2_newIdeasCreate, managerDeterminationLevel)···94 A jobIncrease = jobIncreaseFactor*jobLoadingGap ···95 A jobLoadingIncreasePerYr = jobIncrease···96 R jobLoading(t) = jobLoading(t - dt) + (jobLoadingIncreasePerYr -
jobLoadingDecreasePerYr) * dt···97 L INIT jobLoading = 50 ···97.1 N jobLoadingDecreasePerYr =
jobLoading*employeeSkillLevel2_JobLoadingDecreaseRate ···98 R jobLoadingGap = jobLoadingMax-jobLoading···99 A jobLoadingMax = 100···100 C employeeSkillLevel2_JobLoadingDecreaseRate = GRAPH(employeeSkill)
(0.00, 0.01), (9.09, 0.03), (18.2, 0.0475), (27.3, 0.0575), (36.4, 0.0775), (45.5, 0.108), (54.5, 0.175), (63.6, 0.32), (72.7, 0.413), (81.8, 0.475), (90.9, 0.492), (100, 0.5)·101 G average_burnout_of_job_loading = avgBurnout/jobLoading···102 A burnout_Increase__for_jobloading = 2 ···103 C buildup = jobLoadingIncreasePerYr * burnout_Increase__for_jobloading *
avgBurnoutGap ···104 R
INIT avgBurnout = 30···105.1 N dissipate = SMTH1(jobLoadingDecreasePerYr*average_burnout_of_job_loading, 3)
···106 R avgBurnoutGap = (avgBurnoutMax-avgBurnout)/avgBurnoutMax ···107 A avgBurnoutMax = 100 ···108 C avgBurnoutVariation = avgBurnout - DELAY(avgBurnout, 1) ···109 A employeePressure_IncreaseFactor = avgBurnoutVariation * 1 ···110 A employeePressure_Increase = employeePressureGap *
employeePressure_IncreaseFactor···111 A employeePressureMax = 100 ···112 C employeePressureGap = (employeePressureMax - employeePressure) /
employeePressureMax···113 A employeePressure_IncreasePerYr = employeePressure_Increase ···114 R employeePressure(t) = employeePressure(t - dt) + (employeePressure_IncreasePerYr - employeePressure_DecreasePerYr) * dt ···115 L INIT employeePressure = 25 ···115.1 N employeePressure_DecreasePerYr = SMTH1(employeePressure *
employeePressure_AdjustRate, employee_AdjustTime)···116 R employee_AdjustTime = 2 ···117 C employeePressure_AdjustRate = 10/100 ···118 C costPerIdea = 0.01···119 C newIdeasIncrease = (investmentInHR*investmentIn_IdeaCreateRatio / costPerIdea) * newIdeasCreateFactor ···120 A newIdeasIncrease_PerYr = newIdeasIncrease ···121 R newIdeas(t) = newIdeas(t - dt) + (newIdeasIncrease_PerYr - newIdeasAdopted_PerYr)
INIT newIdeas = 1 ···122.1 N newIdeasAdopted_PerYr = SMTH1(newIdeas*adoptRate, 3) ···123 R adoptRate = GRAPH(time)
(1970, 0.025), (1973, 0.055), (1977, 0.075), (1980, 0.12), (1983, 0.18), (1987, 0.25), (1990, 0.28), (1993, 0.345), (1997, 0.495), (2000, 0.74)···124 G adoptedIdeas(t) = adoptedIdeas(t - dt) + (newIdeasAdopted_PerYr - discardPerYr) * dt···125 L INIT adoptedIdeas = 0 ···125.1 N discardPerYr = adoptedIdeas*discardRate ···126 R discardIdeas(t) = discardIdeas(t - dt) + (discardPerYr - ideaOut) * dt ···127 L INIT discardIdeas = 0 ···127.1 N ideaOut = discardIdeas···128 R realizedRate = GRAPH(time)
(1970, 0.0285), (1973, 0.03), (1976, 0.0285), (1979, 0.0285), (1982, 0.0435), (1985, 0.051), (1988, 0.0615), (1991, 0.108), (1994, 0.176), (1997, 0.198), (2000, 0.201) ·129 G
discardRate = 1-realizedRate ···130 R average_learningAbility_increased = IF (adoptedIdeas = 0) THEN 0
ELSE learningAbility/adoptedIdeas ···131 A learningAbility_IncreasePerYr =
SMTH1(newIdeasAdopted_PerYr*learningAbility_increase_for_per_adopted_idea*le arningAbilityGap, 3) ···132 R learningAbility(t) = learningAbility(t - dt) + (learningAbility_IncreasePerYr -
learningAbility_DecreasePerYr) * dt
···133 L
···133.1 N learningAbility_DecreasePerYr = discardPerYr * average_learningAbility_increased
···134 R learningAbility_increase_for_per_adopted_idea = 10···135 C learningAbilityGap = (learningAbilityMax- learningAbility)/ learningAbilityMax··136 A
learningAbilityMax = 100···137 C learningAbilityVariation = (learningAb ility - DELAY(learningAbility, 1) ) /
DELAY(learningAbility, 1)···138 A confessLevelMax = 100 ···139 C confessLevelGap = confessLevelMax-confessLevel···140 A confessIncrease = confessLevelGap*confessLevel_IncreaseFactor···141 A confessLevel_IncreaseFactor = learningAbilityVariation* 0.5 +
(-levelOfControl_VariationRatio * 0.5) ···142 A confessDecrease_PerYr = confessDecrease ···143 R confessLevel(t) = confessLevel(t - dt) + (confessIncrease_PerYr -
confessDecrease_PerYr) * dt
···144 L INIT confessLevel = 30
···144.1 N confessIncrease_PerYr = SMTH1(confessIncrease, 3) ···145 R confessLevelVariation = (confessLevel - DELAY(confessLevel, 1)) /
DELAY(confessLevel, 1)···146 A confessDecrease = confessLevel*confessDecrease_Rate···147 A confessDecrease_Rate = 5/100 ···148 C
((investmentInHR*investmentIn_EmployeeSkillRatio)/CostOfPer_EmployeeSkillIncr ease)*employeeSkillGap···149 A employeeSkillGap = (employeeSkillMax-employeeSkill)/employeeSkillMax ····150 A employeeSkillMax = 100 ···151 C employeeSkill_IncreasePerYr = SMTH1(employeeSkill_Increase, 3) ···152 R employeeSkill(t) = employeeSkill(t - dt) + (employeeSkill_IncreasePerYr -
employeeSkill_DecreasePerYr) * dt
···153 L INIT employeeSkill = 35
···153.1 N employeeSkill_DecreasePerYr = employeeSkill*employeeSkill_DecreaseRate ··154 R employeeSkill_DecreaseRate = 0.05 ···155 C CostOfPer_EmployeeSkillIncrease = 0.01 ···156 C employeeMoraleMax = 100 ···157 C employeeMorale_DecreaseBaseRate = 10/100 ···158 C employeeMoraleGap =
(employeeMoraleMax-employeeMorale)/employeeMoraleMax···159 A employeeMorale_DecreaseRate = employeeFearness_Variation*employeeMoraleGap + employeeMorale*employeeMorale_DecreaseBaseRate ···160 A employeeMoraleIncrease =
(investmentInHR*investmentIn_BonusRatio/costOfPer_EmployeeMoraleIncrease)*e mployeeMoraleGap···161 A costOfPer_EmployeeMoraleIncrease = 0.01 ···162 C employeeMorale_IncreasePerYr = SMTH1(employeeMoraleIncrease, 5) ···163 R employeeMorale(t) = employeeMorale(t - dt) + (employeeMorale_IncreasePerYr -
INIT employeeMorale = 35 ···164.1 N employeeMorale_DecreasePerYr = employeeMorale_DecreaseRate ···165 R serviceQuality_IncreaseIndex = MIN(employeeMorale*2,
employeeSkill*2,learningAbility*2)···166 A employeeFearness_Variation = (employeeFearness - DELAY(employeeFearness, 1))
···167 A investmentInHR_Rate = 0···168 C investmentInHR_Ratio = investmentInHR_Rate/100 ···169 A investmentInHR = investment*investmentInHR_Ratio ···170 A investmentIn_EmployeeSkillRate = 0/100 ···171 C investmentIn_EmployeeSkillRatio = investmentIn_EmployeeSkillRate/ 100 ···172 A investmentInBonus_Ra te = 0/100 ···173 C investmentIn_BonusRatio = investmentInBonus_Rate/100 ···174 A investmentIn_IdeaCreateRate = 0/100···175 C investmentIn_IdeaCreateRatio = investmentIn_IdeaCreateRate/100 ···176 A costOfMaintain_PerEmployeeSkill = 0.03 ···177 C costOfMaintain_PerEmployeeMorale = 0.01 ···178 C costOfMaintain_PerLearningAbility = 0.05 ···179 C totalHR_Cost = costOfMaintain_PerEmployeeMorale * employeeMorale
+costOfMaintain_PerEmployeeSkill * employeeSkill +
costOfMaintain_PerLearningAbility * learningAbility +investmentInHR ···180 A
B. 變數名稱及單位一覽表
productQualityIncrease：產品品質增加量（無單位）
productQualityGap：產品品質差距（無單位）
productQuality：產品品質（無單位）
productQualityIncreasePerYr：產品品質每年的增加量（無單位）
productQualityDecreasePerYr：產品品質每年的減少量（無單位）
productQualityDecreaseRate：產品品質減少比率（無單位）
serviceQualityMax：產品品質最大值（無單位）
serviceQualityIncreasePerYr：服務品質每年的增加量（無單位）
serviceQuality：服務品質（無單位）
serviceQualityDecreasePerYr：服務品質每年的減少量（無單位）
serviceQualityDecreaseFactor：服務品質每年的減少因子（無單位）
competitionIndex：競爭指標（無單位）
qualityWeight：品質權數（無單位）
competitionIndexVariation：競爭指標變化量（無單位）
expanse：費用（單位：億元美金）
totalCostOfManagementControl：管理控制的成本（單位：億元美金）
totalCostOfPattern：專利權的成本（單位：億元美金）
totalHR_Cost：人力資源成本 profit：利潤（單位：億元美金）
revenueWithoutNormalExpanse：除去一般費用後的盈收（單位：億元美金）
revenue2NormalExpanseRate：一般費用佔盈收的比例（無單位）
satisfiedCustomersVariation：滿意顧客變化量（單位：萬人）
SCoutRateFromLevelOfControl：滿意顧客因管理階層數所造成的流失率（無單位）
SCoutRateBase：滿意顧客基本流失率（無單位）
SCoutRate：滿意顧客流失率（無單位）
SCIn：滿意顧客增加量（單位：萬人）
SCout：滿意顧客流失量（單位：萬人）
satisfiedCustomers：滿意顧客數（單位：萬人）
rebuyRateOfSC：滿意顧客重購比率（無單位）
averageSpendOnEachCustomer：每個顧客平均購買金額（單位：百萬美金）
revenue：收益（單位：億美金）
investment：投資額（單位：億美金）
revenueToInvestmentRate：收益對投資的比例（無單位）
companyMarketSize：公司可能佔有的市場規模（單位：萬人）
marketSizeIncreasePerYr：每年的市場規模增加量（單位：萬人）
marketSizeIncreaseRate：市場規模增加率（無單位）
productionEfficiency2_ProductQuality：生產效率對產品品質的比例（無單位）
productionEfficiency：生產效率（無單位）
managementEfficiency：管理效率（無單位）
levelOfControl：組織層級數（單位：級）
levelIncreasingPerYr：每年組織層級增加量（單位：級）
levelIncreasing：組織層級增加量（單位：級）
levelOfControlGap：組織層級差距（單位：級）
levelOfControlMax：最大組織層級數（單位：級）
oneUnitCostOfLevelOfControl：每一層組織層級所需的成本（單位：億美金）
costOfMaintainLevelOfControl：維持組織層級所需的成本（單位：億美金）
totalCostOfManagementControl：管理控制的總成本（單位：億美金）
costOfManagementControlInvestment：投資於管理控制的成本（單位：億美金）
investmentInManagementComplexityRatio：投資於管理控制的比率（無單位）
investmentInManagementComplexityRate：投資於管理控制的比例（無單位）
productInnovation2_ProductQuality：產品創新對品質的增加（無單位）
patternOutdateRate：專利權失效的比率（無單位）
patternOutflow：專利權流失量（單位：專利）
pattern：專利權數（單位：專利）
patternIncreasingPerYr：每年專利權增加數（單位：專利）
costOfPatternMaintain：維持專利的成本（單位：億美金）
costOfEachPattern：每項專利的成本（單位：億美金）
patternIncreasing：專利權增加量（單位：專利）
patternGap：專利權差距（單位：專利）
patternGoal：目標的專利權數量（單位：專利）
patternGoal_IncreaseRate：目標的專利權增加率（無單位）
totalCostOfPattern：專利的總成本（單位：億美金）
costOfDevelopmentInvestment：投資於研發的成本（單位：億美金）
investmentIn_ResearchAndDevelopment：投資於研發的金額（單位：億美金）
investmentInR&D_Ratio：投資於 R&D 的比率（無單位）
investmentInR&Drate：投資於 R&D 的比例（無單位）
employeeHiringRate：員工僱用率（無單位）
employeeHiring_PerYr：每年員工僱用人數（單位：萬人）
totalEmployee：員工人數（單位：萬人）
employeeFiring_PerYr：每年員工解僱人數（單位：萬人）
employeeFiringRate：員工解僱率（無單位）
totalEmployeeVariationRatio：員工人數變化率（無單位）
employeeFearness_IncreaseBase：員工不安全感基礎增加率（無單位）
employeeFearness_IncreaseFactor：員工不安全感增加因子（無單位）
levelOfControl_VariationRatio：組織層級變化率（無單位）
employeeFearness_Increase：員工不安全感增加量（無單位）employeeFearness_IncreasePerYr：
每年員工不安全感增加量（無單位）
employeeFearnessGap：員工不安全感差距（無單位）
employeeFearnessMax：員工不安全感極大值（無單位）
confessLevelVariation：坦誠的變化量（無單位）
confessLevel：坦誠程度（無單位）
employeeFearness_Decrease：員工不安全感減少量（無單位）
employeeFearness_DecreasePerYr：每年員工不安全感減少量（無單位）
employeeFearness：員工不安全感（無單位）
delayeringDegree：扁平化程度（無單位）
delayeringDegree_VariationRatio：扁平化程度的變化（無單位）
jobIncreaseFactor：工作負荷增加因子（無單位）
delayeringDegree_VariationRatio：扁平化程度變化率（無單位）
newIdeasVariationRatio：新點子變化率（無單位）
Noname_1：判斷條件－判斷新點子數是否為零 newIdeas：新點子數（單位：千個點子）
employeeFearness2_newIdeasCreate：員工不安全感對於新點子影響因子（無單位）
managerDeterminationLevel：管理者的決心程度（無單位）
avgBurnout2_newIdeasCreate：平均員工倦怠度對於新點子影響因子（無單位）
employeePressure2_newIdeasCreate：員工壓力對於新點子影響因子（無單位）
confessLevel2_newIdeasCreate：坦誠程度對於新點子影響因子（無單位）
newIdeasCreateFactor：新點子產生因子（無單位）
jobIncrease：工作負荷增加（無單位）
jobLoadingGap：工作負荷差距（無單位）
jobLoading：工作負荷（無單位）
jobLoadingMax：工作負荷極大值（無單位）
jobLoadingIncreasePerYr：每年工作負荷增加量（無單位）
jobLoadingDecreasePerYr：每年工作負荷減少量（無單位）
employeeSkillLevel2_JobLoadingDecreaseRate：員工技能程度對於工作負荷減少的影響因子（無 單位）
average_burnout_of_job_loading：平均員工倦怠感與工作負荷的比值（無單位）
burnout_Increase__for_jobloading：員工倦怠感對於工作負荷的增加量（無單位）
buildup：倦怠感增加量（無單位）
dissipate：倦怠感減少量（無單位）
averageburnoutGap：平均員工倦怠感差距（無單位）
averageburnoutMax：平均員工倦怠感極大值（無單位）
employeePressureGap：員工壓力差距（無單位）
employeePressure_IncreaseFactor：員工壓力增加因子（無單位）
employeePressureMax：員工壓力極大值（無單位）
employeePressure_IncreasePerYr：每年員工壓力增加量（無單位）
employeePressure_Increase：員工壓力增加量（無單位）
employeePressure：員工壓力（無單位）
employeePressure_DecreasePerYr：每年員工壓力減少量（無單位）
employeePressure_AdjustRate：員工壓力調整率（無單位）
employee_AdjustTime：員工壓力調整時間（單位：年）
costPerIdea：每千個點子產生所需的成本（單位：億美金）
newIdeasIncrease：新點子的產生量（單位：千個點子數）
investmentInHR：人力資源的投資（單位：億美金）
investmentIn_IdeaCreateRatio：投資在新點子創造的比率（無單位）
newIdeasCreateFactor：新點子創造的影響因子（無單位）
newIdeasIncrease_PerYr：每年產生新點子的數量（單位：千個點子數）
newIdeas：新點子的數量（單位：千個點子數）
newIdeasAdopted_PerYr：每年採納新點子的數量（單位：千個點子數）
newIdeasAdoptRate：每年採納新點子的比例（無單位）
adoptIdeas：採納點子數（單位：千個點子數）（無單位）
discardRate：放棄實施的點子比例（無單位）
ideaOut：放棄的點子數（單位：千個點子數）
realizetRate：實際實施的點子的比例（無單位）
discardPerYr：每年放棄實行的點子數（單位：千個點子數）
average_learningAbility_increased：平均學習能力的增加 average_learningAbility：平均學習能力（無單位）
learningAbility_IncreasedPerYr：每年學習能力的增加（無單位）
learningAbility_increase_for_per_adopted_idea：每千個點子被實施後對於學習能力的提升量（無 單位）
learningAbilityGap：學習能力的差距（無單位）
learningAbility_DecreasedPerYr：每年學習能力的減少（無單位）
learningAbilityMax：學習能力的極大值（無單位）
learningAbilityVariation：學習能力的變化量（無單位）
confessLevelMax：坦誠程度的極大值（無單位）
confessLevelGap：坦誠程度的差距（無單位）
confessLevelIncrease：坦誠程度的增加量（無單位）
confessLevelIncreaseFactor：坦誠程度的增加因子（無單位）
learningAbilityVariation：學習能力的變化量（無單位）
levelOfControl_VariationRatio：組織層級的變化率（無單位）
confessDecrease_PerYr：每年坦誠程度的減少量（無單位）
confessDecrease：坦誠程度的減少量（無單位）
confessLevel：坦誠程度（無單位）
confessIncrease_PerYr：每年坦誠程度的增加量（無單位）
confessIncreaseVariation：坦誠程度的變化量（無單位）
confessDecrease_Rate：坦誠程度的減少率（無單位）
employeeSkill_Increase：員工技術增加量（無單位）
investmentInHR：人力資源的投資（單位：億美金）
investmentIn_EmployeeSkillRatio：投資在員工技術的比率（無單位）
CostOfPer_EmployeeSkillIncrease：每單位員工技術增加所需的成本（單位：億美金）
employeeSkillGap：員工技術的差距（無單位）
employeeSkillMax：員工技術的極大值（無單位）
employeeSkill_IncreasePerYr：每年的員工技術增加量（無單位）
employeeSkill_DecreasePerYr：每年的員工技術減少量（無單位）
employeeSkill：員工技術（無單位）
employeeSkill_DecreaseRate：員工技術減少率（無單位）
employeeMoraleMax：員工士氣的極大值（無單位）
employeeMorale_DecreaseBaseRate：員工士氣減少的基本率（無單位）
employeeMoraleGap：員工士氣的差距（無單位）
employeeMorale：員工士氣（無單位）
employeeMorale_DecreaseRate：員工士氣減少率（無單位）
employeeFearness_Variation：員工不安全感的變化量（無單位）
employeeMoraleIncrease：員工士氣增加量（無單位）
investmentIn_BonusRatio：投資在獎金紅利的比率（無單位）
costOfPer_EmployeeMoraleIncrease：每單位員工士氣增加的成本（無單位）
employeeMorale_IncreasePerYr：每年的員工士氣增加量（無單位）
employeeMorale_Increase：員工士氣增加量（無單位）
employeeMorale_DecreasePerYr：每年的員工士氣減少量（無單位）
employeeMorale_Decrease：員工士氣減少量（無單位）
employeeMorale_DecreaseRate：員工士氣減少率（無單位）
serviceQuality_IncreaseIndex：服務品質增加指標（無單位）
learningAbility：學習能力（無單位）
investmentInHR_Rate：投資在人力資源的比率（無單位）
investmentInHR_Ratio：投資在人力資源的比例（無單位）
investmentInHR：投資在人力資源金額（單位：億美金）
investmentInHR：投資在人力資源金額（單位：億美金）