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

机译:关于决策支持系统的实施结合芬兰房地产业务中的关键绩效指标

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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. Housing 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:这一比较案例研究芬兰房地产业务解决了汇编,客户愉悦的模型,经济价值观理论,意识和响应方法的进展和创新周期中的分析分析和分析分析。它试用智能知识驱动的决策支持系统(DSS)的建设,提供专业决策,使得存储为事实,规则,程序,并表示住房生命周期中的关键因素CF。使用的CF索引方法是一种测量工具,指示业务流程的属性,在公司员工和客户的期望和经验之间具有高偏差,旨在为最低值的属性提供迅速采取的行动。基于GAB分析和实施指数(拆除)制定CFI。该方法显示了哪些属性在业务流程中至关重要,因此支持管理管理,以制定有关哪些指标的决定。拟议的DSS集成了经济价值观进展的当代观,这使得经验和客户喜悦在竞争优势和定价水平可能性之上。令人愉快的经验为客户带来了回归并为潜在客户群体创造兴趣,从而区分公司与竞争对手。客户的问卷和前台员工访谈监测满意度。最初被认为是获得客户需求和产品功能的良好匹配的质量工具,它可以帮助物业管理人员不仅要评估预算分配和优先事项。仍然它省略了操作效率,除了运行能力反映在影响客户满意度的产品或服务质量方面。这就是为什么建议的DSS适用AHP分析,以促进多重重点战略决策。经济状况有挑战性的住房市场需要灵活的战略方向,结合服务概念的积极识别和评估。对资源管理活动进行健康判断,以增强客户体验的财产管理活动是可修订的任务,仍然经常基于从间接期望派遣所需的服务水平的信息作出决定。这会产生信息差距,这些差距通常会使日常运营中的有效决策。为了填补这些违规行为,DSS研究了公司的系统和流程,支持客户可交付成果。他们是寻找有关该组织是否满足客户在可持续和有效的方式方面的需求相关信息的好地方。 DSS的主要目标是通过积极的日常管理来扩大物业价值,专注于维持高水平的占用和居民满意度,同时保持成本效益。

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