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ON THE IMPLEMENTATION OF DECISION SUPPORT SYSTEM COMBINING CRITICAL PERFORMANCE INDICATORS IN THE FINNISH REAL ESTATE BUSINESS

机译:结合关键绩效指标的芬兰房地产企业决策支持系统的实施

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This comparative case study in Finnish real estate business addresses the compilation, of customer delight model, progression of economic values theory, Sense and Respond methodology and Analytical hierarchical process (AHP) analysis in an innovation cycle. It pilots the construction of intelligent knowledge-driven Decision Support System (DSS) that provides specialized decision making expertise stored as facts, rules, procedures, and indicates critical factors CF in the housing lifecycle. The used CF Index method is a measurement tool that indicates attribute of a business process with high deviation between expectations and experience of the company's employees and customers, imposing prompt action to be taken for the lowest valued attributes. The CFI was developed on the basis of the Gab analysis and the implementation index (IMPL). The method reveals which attributes are critical within the business process and therefore supports the management to make decisions concerning which indicators should be improved. The proposed DSS integrates the contemporary view of progress of economic values, which puts experience and customer delight at the top of the competitive advantages and pricing level possibilities. Delightful experiences bring customers back and create interest in potential customer groups, thus distinguishing the company from the competition. The level of satisfaction is monitored by clients' questionnaires and front desk staff interviews. Originally conceived as a quality tool for obtaining a good match of customer need and product functions, it helps property managers not only to grade requirements, but also to evaluate budget allocations and priorities. Still it omits operational effectiveness, except as far as operational capability is reflected in product or service quality that influences customer satisfaction. That's why the proposed DSS applies AHP analysis to facilitate multi-focused strategic decision making.rnHousing market in challenging economic conditions requires flexible strategy orientation combined with proactive identification and assessment of service concepts. Making a sound judgement for resources allocation in property management activities to enhanced customer experience is amendable task, still often executives have to make decisions for the company based on information dispatched from indirect expectation for the level of service needed. That creates information gaps which often separates efficient decision making from day to day operations. To fill these breaches, the DSS looks into the company's systems and processes, which support customer deliverables. They are great places for searching up much needed relevant information about whether or not the organization is satisfying the customer in sustainable and efficient way. The main goal of DSS is to enlarge property values through active day-to-day management that focuses on maintaining high levels of occupancy and residents satisfaction and at the same time stay cost efficient.
机译:芬兰房地产业务的这个比较案例研究解决了创新周期中客户满意度模型的建立,经济价值理论的发展,感知和响应方法以及层次分析法(AHP)分析的问题。它引导了智能知识驱动的决策支持系统(DSS)的建设,该系统提供了存储为事实,规则,程序的专业决策专业知识,并指出了住房生命周期中的关键因素CF。使用的CF指数方法是一种度量工具,用于指示业务流程的属性,该期望的期望值与公司员工和客户的经验之间存在较大偏差,并对价值最低的属性采取迅速的措施。 CFI是根据Gab分析和实施指数(IMPL)制定的。该方法揭示了哪些属性在业务流程中至关重要,因此可以支持管理层做出有关应改进哪些指标的决策。拟议的DSS融合了当代关于经济价值进步的观点,从而将经验和客户满意度置于竞争优势和定价水平可能性的顶部。令人愉悦的体验将客户带回去,并对潜在的客户群产生兴趣,从而使公司在竞争中脱颖而出。满意度水平由客户的问卷调查和前台工作人员访谈来监控。最初被认为是一种用于获得客户需求和产品功能的良好匹配的质量工具,它不仅可以帮助物业管理人员满足等级要求,还可以帮助他们评估预算分配和优先级。它仍然忽略了运营有效性,除非运营能力体现在影响客户满意度的产品或服务质量中。这就是为什么拟议的DSS应用AHP分析来促进多目标战略决策的原因。在充满挑战的经济条件下住房市场需要灵活的战略导向以及主动识别和评估服务理念。对物业管理活动中的资源分配做出合理的判断以增强客户体验是一项可修正的任务,但高管仍然经常必须基于从间接期望中获得的有关所需服务水平的信息来为公司做出决策。这就造成了信息鸿沟,这常常使日常运营的有效决策分开。为了填补这些漏洞,DSS会研究公司的系统和流程,以支持客户的可交付成果。它们是搜索有关组织是否以可持续和有效的方式满足客户需求的急需的相关信息的好地方。 DSS的主要目标是通过积极的日常管理来扩大财产价值,该管理着重于保持较高的入住率和居民满意度,同时保持成本效益。

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