Organizing Business Research Papers(10)

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    Organizing Business Research Papers(10)

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    Business Research

    http://www.chineseowl.idv.tw/http://www.chineseowl.idv.tw/
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    (:)

    Setting of research ():??

    Research problem () :?

    Quantitative specification of problem () :

    Importance of problem () :,?

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    (:)

    Research objective ()

    Methodology to achieve objective()

    Anticipated results ()

    Contribution to field ()

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    ( :) A rapidly growing elderly population poses a major challengefor long-term care management, requiring immediate solutions givenchanging family structures and the frequency of chronic illnesses.Employees in hospital subsidized respiratory care centers, respiratorycare wards and nursing homes are nearly all nursing care attendants.Belonging to a sub-specialized field of a medical department, nursing

    care attendants do not hold specialized license certification nor have acertain academic level. These workers simply require basic healthcaretraining skills and knowledge of hospital or governmental infrastructureto perform their tasks efficiently. Playing an important role in Taiwanesesociety, nursing care attendants accompany disabled individuals andprovide assistance in daily activities such as taking a bath, taking meals,monitoring urinary or stool specimens, changing the posture ofincapacitated stroke victims and providing general comfort. Despitetheir contributions, most nursing care attendants lack a uniformmanagement approach to ensure the quality of service given that theseworkers have no restrictions on age, education or experience - just thatthey are mentally and physically sound.

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    ( :) Despite the abundance of outsourcing agencies for nursing careattendants, the lack of standardized training makes it impossible to control thequality of service provided island wide. Moreover, changes in Taiwans NationalHealth Insurance scheme have led to an emphasis on controlling personnelcosts while maintaining highly quality services, further contributing to theoutsourcing of nursing care attendants.

    Generally, relatives or the patient directly employ nursing careattendants without adequate evaluative criteria to select the most appropriatecare provider. Additionally, outsourcing firms also lack objective criteria inselecting nursing care attendants, leading to widespread customerdissatisfaction and increasing management difficulty.

    Given the twenty two hospital subsidized nursing homes andeighteen respiratory care wards currently operating in Taiwan, the importanceof nursing care attendants is obvious. The inability to manage effectively thequality of service that nursing care attendants provide will lead to a furtherdecline in hospital revenues, eventually leading to a reduction in personnel andcommunity services.

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    (:) Based on the above, we should develop aneffective selection model for use in evaluating outsourcednursing care attendants to help hospital administratorsselect the most productive outsourcing agencies.

    To do so, evaluative criteria for hospital

    administrators to select among agencies that outsourcenursing care attendants can be established using a nominalgroup technique-based method. The relative weights ofevaluative criteria can then be determined using fuzzytheory and the analytic hierarchy process (AHP) to rankalternatives and select the most appropriate outsourcing

    agencies, subsequently enabling hospital administrators toachieve an objective evaluative criteria to make decisionsoptimally.

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    (:) As anticipated, the proposed selection modelbased on fuzzy theory and the AHP method can provide anobjective means of evaluating the quality of nursing careattendants, thus enhancing the quality of service, increasingcustomer satisfaction and lowering personnel costs.

    Via an objective evaluative criteria, optimumalternatives to outsource nursing care needs in Taiwan canbe selected efficiently.

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    ( :) Unforeseeable circumstances in the constantly fluctuating businessclimate necessitate that enterprises adopt effective inventory managementpractices to strengthen their competitive edge. Inventory stock is often viewedas a somewhat static resource of economic value, with the quality of itsmanagement directly impacting company operations. Therefore, an effectivestock inventory system is essential in the supply chain of commercial activities.

    However, while focusing on specific stock inventory systems toachieve the most appropriate design, previous studies have seldom addressedthe supplying chain strategy for stock inventory of multiple products and manysuppliers. The research directions and research methods in inventory stockpolicies developed previously widely vary. While some policies emphasizereducing the retailers costs, others focus on decreasing the producersoverhead costs. While fierce market competition makes it difficult for a

    company to assess its current market position, efforts must be made toconsider how to effectively manage stock inventory so that both the producerand the retail reap profits. Either simulation or statistical approaches areadopted to establish inventory stock management policies. Simulation requiresmuch time, making it inefficient with questionable results. Statisticalapproaches can only offer guidelines aimed at simplifying either the inventorystock administrative system or a complex system intended to establishapproximate mathematical patterns; such approaches are often difficult tointerpret.

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    ( :) According to investigations of commercial practices in theUnited States over the past decade, the oversupply of inventory stock accountsfor 20% of the gross domestic product (GDP) in the United States,subsequently tying up an enterprise's funds. The American Council of LogisticsManagement Statistics recently indicated that 20% - 30% of revenuesgenerated from sales of different industries is consumed in the interflow ofcommodities. Suppliers and manufacturers have many unnecessary overheadcosts that can be identified through an effective inventory stock administrativesystem. Maloni and Benton (1997) suggested that instituting inventorymanagement procedures throughout the entire supply chain can significantlyreduce overhead costs, simplify the interflow of commodities, increase thesharing of information, and allow each unit in the supply chain to increaseeconomic benefits through efficiency.

    As short supply or overstocked inventory is a commondilemma in modern business, the inability to enhance stock inventorymanagement practices will exacerbate short supply situations, increasecustomer dissatisfaction, create bottlenecks on the production line and tarnishan enterprises reputation. Correspondingly, overstocked inventory will tie upcompany funds, subsequently reducing the return rate of investment and theturnover rate of total assets, ultimately lowering the effectiveness of enterprisemanagement.

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    (:) Based on the above, we should develop an inventory stockmanagement modelthat coordinates the efforts of suppliers andretailers, in which the inventory stock model of distribution for thenormality is adopted to determine the minimum total cost via themetering method.

    To do so, the (s, Q) policy of the inventory stockbetween the supplier and the manufacturer can be adopted to reducethe amount of minimum stock required to reduce the total cost whenordering larger quantities. Problems encountered between the supplierand the manufacturer in predicting the required amount of inventorystock can be addressed individually. Next, the stock model (s , Q) canbe utilized to derive the inventory stock models for the supplier and

    manufacturer without complex mathematical equations For theinventory stock cost, sales volume and orders in short supply, the mostappropriate control channel can be adopted by the supplier and themanufacturer, followed by mathematical analysis and estimation.

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    (:) As anticipated, the proposed inventorymanagement model can determine the most economicpurchasing amount, purchasing opportunity and inventorystock policy for both the supplier and the manufacturer.

    By using random and the most appropriatecontrol measures, the proposed management model candetermine precisely the demand between the supplier andthe manufacturers, reduce overhead costs and enableenterprise managers to select the most effective inventorystock policy to enhance overall operations.

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