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    Outline

    1. Introduction

    2. Literature review

    3. AHP methodology

    4. Case implementation

    5. Selecting the optimal location of hospitals to

    ensure a competitive advantage6. Conclusions

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    Implementation of the National HealthInsurance scheme in Taiwan since 1995 hasintensified competition in the local medicalsector.

    Given elevated living standards islandwide,

    Taiwanese residents have become more healthconscious and attach increasing importance toquality healthcare. Heightened consumer demand in the quality and

    scope of medical services.

    Introduction

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    Introduction

    The medical service sector has improved itsorganizational structure and encouragedhospitals to establish management practices thatwould increase their competitiveness.

    In such an intensely competitive environment,

    selecting the optimal location of hospitals to beestablished is of priority concern.

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    Introduction

    In considering where to select a location, besideslegislation restrictions, policymakers andbusiness groups seldom consider how selectingthe optimal location during the decision-makingprocess could possibly affect its competitiveness.

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    Introduction

    Health plan of 1984 .. & Aging -> more newhospitals ->fierce competition in medical servicesector->impact of wrong location decision

    Selecting the optimal location for a hospital interms of competitiveness involves the various

    hospital types in Taiwan, devising appropriateevaluation criteria and categorizing hospitalsaccording to those evaluation criteria.

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    Introduction

    Despite the considerable attention paid toselecting an optimal location for medical carefacilities, establishing a hospital must strictlycomply with governmental regulations, oftencausing decision makers to overlook the

    importance of selecting an optimal location.

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    Introduction

    This study adopts the renowned diamond modelintroduced in Porters The CompetitiveAdvantage of Nations (1990) that influences howcompetitive advantages, especially with respectto developing and evaluating the objectives of

    optimal location selection, are related in order todevise a standardized operational procedure.

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    Introduction

    Besides a literature reviewand interviewswith experts, this study also adopts themodified Delphi method, the analytichierarchy process (AHP) and thesensitivity analysis to develop an evaluation

    method for selecting the optimal location of aregional hospital in Taiwan to determine itseffectiveness.

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    Introduction

    The proposed evaluation criterion provides avaluable reference for hospital administratorsand academic in establishing a standardizedmeans of selecting the optimal location for newmedical care facilities.

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    Literature review

    Porters diamond model

    Porters diamond model comprises six elements;four country-specific determinants (i.e. Factorconditions, Demand conditions, Firm strategy,structure and rivalry and Related and supporting

    industries) and two external variables, (i.e.chance and government).

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    Literature review

    Location theory

    Weber (1909) proposed the position problems ofa factory. Early location theory focused mainlyon the production of raw materials and selling tomarkets in order to determine a factorys

    optimal position by minimizing transportationcosts.

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    Literature review

    Plant location research can be categorized intothree perspectives such as:

    1. Prescriptive, i.e. how to make plant-location-related decisions.

    2. Nation-based, i.e., what a nation should do

    to attract overseas firms to locate domestically3. Customer-based business, i.e. what criteria

    are adopted to make plant-location-relateddecisions

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    AHP Methodology

    Skipped. Please refer to the original paper:

    Wu, C.-R., Lin, C.-T., & Chen, H.-C. (2007).

    Optimal selection of location for Taiwanesehospitals to ensure competitive advantage byusing the analytic hierarchy process andsensitivity analysis.Building and Environment

    42, 1431-1444.

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    Case implementation

    An AHP-based evaluation model can bedeveloped for selecting the optimal location of

    hospitals to ensure a competitive advantage viathe following steps:

    Step 1: Define the evaluative criteria forselecting the optimal location of hospitals toensure a competitive advantage.

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    Case implementation

    Step 2: Establish a hierarchical structure. On thebasis of the modified Delphi method, acquire

    important indicators into a hierarchy ofinterrelated decision elements, including goal,criteria, sub-criteria and alternatives.

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    Case implementation

    Step 3: Establish the pair-wise comparisonmatrix. Each decision maker makes a pair-wise

    comparison of the decision elements and assignsthem relative scores.

    Step 4: Calculate the eigenvalue and eigenvectorof each pair-wise comparison matrix.

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    Case implementation

    Step 5: Test the consistency of each comparisonmatrix.

    Step 6:Aggregate the related scores provided byall decision makers using the geometric mean

    method, and then estimate the relative weightsof the relative weights of the weight of theelements of each level.

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    Case implementation

    Step 7: Combine the relative weights of theelements of each level to select the optimal

    location for hospitals to ensure a competitiveadvantage.

    Step 8: Sensitivity analysis of three locationselection areas under six criteria.

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    Case implementation

    According to governments data, among thesethree geographical position, Taiping City is the

    biggest land area. The most of populationnumber is in Dali City. The east district ofTaichung City was economically developed andmetropolis lively area.

    So, the selective regions for establishing hospitalcan be considered East district of Taichung City,Taiping City, and Dali City.

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    Case implementation

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage Step 1: Define the evaluative criteria and sub-

    criteria used to select the optimal location ofhospitals to ensure a competitive advantage. The modified Delphi method is applied to define

    the evaluation criteria and sub-criteria. Murry and Hammons (1995) suggested that the

    modified Delphi method must summarize expert

    opinions on a range from 10 to 30. Seventeen hospital administrators and academics arethen issued a preliminary questionnaire in which sixevaluation criteria and 18 evaluation sub-criteria are incorporated.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage

    1. Factor conditions(1) Capital: for building a hospital capital is required.

    (2) Labor: demand for hospital personnel, including

    physicians, pharmacists, healthcare personnel,dieticians, registered professional nurses, medicalequipment technicians, medical care talent, as wellas the quality and quantity of specialized talentedindividuals.

    (3) Land: how the land obtained will affect the cost;the plan as to how the land is used; and theappropriate disposition to avoid a situation inwhich land is unavailable when hospital expansion

    occurs in the future.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage

    2. Demand(1) Population number: the demand for medical

    services varies according to the local population.For instance, the demand for medical services is

    greater in metropolitan areas than in rural areas.(2) Population density: hospital scale and rank(district hospital, regional hospital and medicalcenter) must correspond to the population densityof the region, such as Taipei with a highly densepopulation.

    (3) Population age distribution: type of illness ofhospital patients (acute, chronic, faculty orsynthesis) must correspond to the distribution ofpopulation age. For instance, ex, the area with lowratio of old age population suits to set up the

    women and children hospital.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage

    3. Firm strategy, structure and rivalry(1) Management objective: hospital administrators establish

    a mission for the hospital to continue management practices.

    (2) Rank of competing: medical centers, regional hospitals

    and district hospitals for both Western and Chinesemedicine, depending on their number and scale, affect howhospitals rank in position.

    (3) Policymakers attitude: individuals include the board ofdirectors (administrators), consultants (including hospital

    management and financial personnel) and other relatedprofessionals such as architects have opinions towardsmanagements style, such as an authoritative or a benevolentone.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage4. Related and supporting industries(1) The medicine practice and the pharmaceutical

    sector: the medicine practice includes biochemistrytechnology, cultivation of medical personnel andrelated industrial development. The pharmaceuticalsector includes medical instrumentation,pharmaceuticals and medicinal preparation, medicinalcosmetics and related industrial development.

    (2) Hospital administration sector: this area includesmanagement consultants, the information technology

    industry, material flow and related industrialdevelopment.(3) The healthcare sector: this area involves sustaining

    community health, home caregivers, long-term care,residential caregivers, the insurance sector and relatedindustrial development.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage5. Government

    (1) Qualifications of the hospitals establishment and theregulations of the established standard: this areaincludes establishment of the hospital. After health authorities

    approve the hospital, the construction license can be appliedfor, along with related governing laws complied with.(2) Efforts to promote a medical network: in order to

    promote the medical resources balanced development, thedivision medical service region, and establishes the graduationmedical service formulation. For example, lacking the regionsto the medical resources and rewarding the folk to establishmedical organizations.

    (3) Promulgating tasks that require a hospitalsassessment: to strengthen the business management ofhospitals and guarantee the quality of medical service,establishing a graded medical system will influence whetherindividuals seek a physician.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage6. Chance

    (1) Violent change in market demand: anincreasing population in this region has increasedboth hospital bed capacity and the number ofillnesses, e.g., SARS, subsequently creating adramatic fluctuation in the demand for the localmedical market.

    (2) Dramatic fluctuations in production costs:this includes the global rise in the price of steeland iron or events such as an energy crisis.

    (3) Significant changes in the financial marketand exchange rate: fluctuations in the debtcredit interest rate of banks or the influence ofglobal currency values incur changes in the cost ofmedical instrumentation and pharmaceuticals.

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    Selecting the optimal location of hospitals

    to ensure a competitive advantage

    Step 2: Establish a hierarchical structure

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage Step 3: Establish the pair-wise comparison matrix

    Purposive sampling is applied to sample 13 respondentsfrom various hospital administrators and academics.

    The weights of level 2 criteria and level 3 sub-criteria arethen determined for a sample group of 13 individualsmatching the above characteristics with each respondent,

    making a pair-wise comparison of the decision elementsand assigning them relative scores.

    The relative scores provided by 13 experts are aggregatedusing the geometric mean method.

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Table . Aggregate pair-wise comparison matrix for criteria of level 2

    Goal Factor DemandFirm

    strategy

    Related and

    supporting

    industries

    Government Chance weight

    Factor 1.000 0.380 0.408 3.706 0.318 2.266 0.121

    Demand 2.632 1.000 0.907 4.696 0.608 3.061 0.223

    Firm strategy 2.453 1.102 1.000 4.318 0.682 2.985 0.227

    Related and

    supporting

    industries

    0.270 0.213 0.232 1.000 0.2444 0.305 0.046

    Government 3.148 1.645 1.466 4.099 1.000 3.378 0.296

    Chance 0.441 0.327 0.335 3.275 0.296 1.000 0.086

    max 6.211571; CI=0.042314; RI=1.24; CR=0.034124 0.1

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage Step 4 : Calculate the eigenvalue and eigenvector

    Step 5 : Results of the consistency test and theCR of the comparison matrix from each 13experts are all 0.1, indicating consistency.

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Factor Capital Labor Land weight

    Capital 1.000 2.261 1.414 0.464

    Labor 0.442 1.000 0.587 0.201

    Land 0.707 1.704 1.000 0.335

    max3.000449332; CI=0.000224666; RI=0.58; CR=0.000387355 0.1

    max6.211571; CI=0.042314; RI=1.24; CR=0.034124 0.1 max 6.211571; CI=0.042314; RI=1.24; CR=0.034124 0.1

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Eigenvalue and CR

    Factor

    max

    =3.00044; CI=0.00022; RI=0.58CR=0.0003870.1

    Demandmax=3.00013; CI=0.000669; RI=0.58CR=0.0011540.1

    Firm strategymax=3.00116; CI=0.000584; RI=0.58CR=0.0010073770.1

    Related and supportingindustries

    max=3.000972; CI=0.000486; RI=0.58CR=0.0008380.1

    Governmentmax=3.00534; CI=0.00267; RI=0.58CR=0.0046060.1

    Chancemax=3.00128; CI=0.000643; RI=0.58

    CR=0.001108

    0.1

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Step 6 : Estimate the relative weights of the

    elements of each level.

    Step 7 : Calculate the weights of overall levels

    Step 8:Sensitivity analysis of three locationselection areas under six criteria

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    Sensitivity analysis The performance graph displays how the

    alternatives perform with respect to the change

    in scenario of all parameters.

    East district of Taichung city

    Taiping cityDali city

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    Sensitivity analysis Performance sensitivity of alternatives when

    related and supporting industries (Rsi) is

    increased by 25%

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    Sensitivity analysis Performance sensitivity of alternatives when

    Change (Ca) is increased by 30%

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    Sensitivity analysis Performance sensitivity of alternatives when

    Government (Gv) is increased by 20%

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Criteria Sub-criteriaWeights of sub-

    criteriaEast district ofTaichung city Taiping city Dali city

    Factor

    Capital 0.464 0.239 0.137 0.624

    Labor 0.201 0.51 0.127 0.364

    Land 0.335 0.616 0.118 0.267

    Synthesis

    0.42

    0.129

    0.452

    Demand

    Population number 0.197 0.25 0.123 0.627

    Population density 0.274 0.552 0.119 0.329

    Population agedistribution

    0.529 0.504 0.128 0.368

    synthesis 0.467 0.125 0.408

    Table. Eigen vectors and weights of three location selection areas under 18 sub-criteria

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Criteria Sub-criteriaWeights of sub-

    criteriaEast district ofTaichung city

    Taiping city Dali city

    Firm strategy

    Management object 0.166 0.24 0.129 0.631

    Rank of competinghospitals

    0.266 0.55 0.124 0.326

    The healthcaresector

    0.568 0.57 0.11 0.319

    Synthesis 0.51 0.117 0.373

    Related andsupportingindustries

    The medicinepractice and the

    pharmaceuticalsector

    0.42 0.548 0.113 0.338

    Hospitaladministration

    sector0.287 0.565 0.121 0.314

    The healthcaresector

    0.293 0.296 0.133 0.571

    Synthesis 0.479 0.121 0.399

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    Selecting the optimal location of

    hospitals to ensure a competitiveadvantage

    Criteria Sub-criteriaWeights of sub-

    criteriaEast district ofTaichung city

    Taiping city Dali city

    Government

    Qualifications of the

    hospitals establishmentand the regulations of

    the established standard

    0.563 0.586 0.111 0.303

    Efforts to promote amedical network

    0.196 0.499 0.133 0.368

    Promulgating tasks thatrequire a hospitals

    assessment0.242 0.332 0.143 0.526

    Synthesis 0.508 0.123 0.37

    Chance

    Violent change inmarket demand

    0.282 0.442 0.128 0.43

    Dramatic fluctuations inproduction costs

    0.403 0.584 0.112 0.304

    Significant changes inthe financial market and

    exchange rate0.314 0.369 0.145 0.486

    Synthesis 0.476 0.127 0.396

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    Conclusions Demand conditions, firm strategy, structure and

    rivalry and government are high.

    Goal The synthesis values

    Factor conditions 0.121

    Demand conditions 0.223

    Firm strategy, structure andrivalry

    0.227

    Related and supportingindustries

    0.046

    Government 0.296

    Chance 0.086

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    Conclusions

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    Conclusions Priorities of the three location selection areas arethe locations of the East district of Taichung city

    (EDoTC), Dali City and Taiping City.