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Identification and validation of performance indicators for SMEs

Identification and validation of performance indicators for SMEs
中小企业绩效指标的识别和验证
批准号:
530390-2018
负责人:
Inkpen, Diana
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
Klipfolio, the company partner in this application, provides a variety of indicators and measurements to**customers as an online dashboard. Klipfolio is committed to providing the most valuable indicators to**companies and places great emphasis on educating SMEs on the appropriate use of indicators. Being able to**identify suitable indicators for SMEs and having evidence with regards to their usefulness and validity would**allow Klipfolio to provide greater value to its clients, and in turn, would allow client SMEs to improve their**performance.**The project aims to identify KPIs for several groups of SMEs based on industry, vertical positioning, and**special managerial purposes by conducting a systematic literature review. To validate the list of KPIs, in-depth**interviews and customer surveys will be conducted. Following this initial project, the gained knowledge will be**used to design a systematic approach to identification and validation of proper KPIs for customers in different**segmentations. This knowledge will be encapsulated into a technical machine learning algorithm. The**functionality and usability of this algorithm will be investigated using an in-site mixed case study.**Klipfolio intends to commercialize the outcome of this collaboration in their products. The university**research team and the company's scientific/technical staff will work together to ensure that the**knowledge/technology will be transferred effectively to the company. The industry partner has participated in**the design of this new proposal by describing their long-term interests and how the outcomes of the project**may contribute to new opportunities for technology transfer and product development. The company was**closely involved in the development of this proposal, in reviewing the proposed scope, research methodology,**and project milestones. As algorithmic components are designed and implemented, the company will provide**feedback and will participate in their evaluation.
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