Identification and validation of performance indicators for SMEs
中小企业绩效指标的识别和验证
基本信息
- 批准号:530390-2018
- 负责人:
- 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
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
Klippant是该应用程序的公司合作伙伴,它为 ** 客户提供了各种指标和测量,作为在线仪表板。Klipping致力于为 ** 公司提供最有价值的指标,并非常重视教育中小企业如何正确使用指标。能够 ** 为中小企业确定合适的指标,并有证据证明这些指标的有用性和有效性,将 ** 使Kliptom能够为其客户提供更大的价值,反过来,也将使中小企业客户能够改善其 ** 业绩。该项目旨在通过进行系统的文献审查,根据行业、垂直定位和特殊管理目的,确定几组中小企业的关键绩效指标。为了验证KPI列表,将进行深入 ** 访谈和客户调查。在这个初始项目之后,所获得的知识将用于设计一种系统的方法,为不同细分领域的客户识别和验证适当的KPI。这些知识将被封装到技术机器学习算法中。将使用现场混合案例研究来调查该算法的 ** 功能和可用性。** Klippery打算将这一合作的成果商业化。大学 ** 研究团队和公司的科学/技术人员将共同努力,以确保 ** 知识/技术将有效地转移到公司。行业伙伴参与了 ** 这一新提案的设计,说明了他们的长期利益以及项目 ** 的成果如何有助于技术转让和产品开发的新机会。该公司 ** 密切参与了该提案的制定,审查了拟议的范围、研究方法、** 和项目里程碑。随着算法组件的设计和实施,该公司将提供 ** 反馈,并将参与其评估。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Inkpen, Diana其他文献
A Machine Learning Approach for Identifying Disease-Treatment Relations in Short Texts
- DOI:
10.1109/tkde.2010.152 - 发表时间:
2011-06-01 - 期刊:
- 影响因子:8.9
- 作者:
Frunza, Oana;Inkpen, Diana;Tran, Thomas - 通讯作者:
Tran, Thomas
A survey of book recommender systems
- DOI:
10.1007/s10844-017-0489-9 - 发表时间:
2018-08-01 - 期刊:
- 影响因子:3.4
- 作者:
Alharthi, Haifa;Inkpen, Diana;Szpakowicz, Stan - 通讯作者:
Szpakowicz, Stan
Prior and contextual emotion of words in sentential context
- DOI:
10.1016/j.csl.2013.04.009 - 发表时间:
2014-01-01 - 期刊:
- 影响因子:4.3
- 作者:
Ghazi, Diman;Inkpen, Diana;Szpakowicz, Stan - 通讯作者:
Szpakowicz, Stan
Location detection and disambiguation from twitter messages
- DOI:
10.1007/s10844-017-0458-3 - 发表时间:
2017-10-01 - 期刊:
- 影响因子:3.4
- 作者:
Inkpen, Diana;Liu, Ji;Ghazi, Diman - 通讯作者:
Ghazi, Diman
Multi-task learning to detect suicide ideation and mental disorders among social media users.
- DOI:
10.3389/frma.2023.1152535 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Buddhitha, Prasadith;Inkpen, Diana - 通讯作者:
Inkpen, Diana
Inkpen, Diana的其他文献
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{{ truncateString('Inkpen, Diana', 18)}}的其他基金
Learning from Social Media Texts
从社交媒体文本中学习
- 批准号:
RGPIN-2018-05181 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Learning from Social Media Texts
从社交媒体文本中学习
- 批准号:
RGPIN-2018-05181 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Learning from Social Media Texts
从社交媒体文本中学习
- 批准号:
RGPIN-2018-05181 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Multi-modal and multi-lingual child safety application
多模式、多语言儿童安全应用
- 批准号:
538430-2018 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Learning from Social Media Texts
从社交媒体文本中学习
- 批准号:
RGPIN-2018-05181 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Multi-modal and multi-lingual child safety application
多模式、多语言儿童安全应用
- 批准号:
538430-2018 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Learning from Social Media Texts
从社交媒体文本中学习
- 批准号:
RGPIN-2018-05181 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Learning from Social Media Texts
从社交媒体文本中学习
- 批准号:
RGPIN-2017-04323 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Social web mining and sentiment analysis for mental illness detection
用于精神疾病检测的社交网络挖掘和情感分析
- 批准号:
478857-2015 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Strategic Projects - Group
Social media text mining for detecting behavioral and psychological conditions in children
用于检测儿童行为和心理状况的社交媒体文本挖掘
- 批准号:
499383-2016 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
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