Business Model Innovation for Intelligent Automation: Unpacking the Productivity Paradox
智能自动化的商业模式创新:破解生产力悖论
基本信息
- 批准号:EP/R024367/1
- 负责人:
- 金额:$ 161.57万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Fellowship
- 财政年份:2018
- 资助国家:英国
- 起止时间:2018 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Productivity growth has been slowing down in the last decade in major economies as well as in emerging markets despite the prevalence of digital technologies. This phenomenon is widely known as the productivity paradox. The productivity growth slowdown is particularly acute in the UK compared to other major economies. Moreover, industries that are the most intensive users of Information and Communication Technologies (ICT) appear to have contributed most to the slowdown in productivity. One of the main reasons for this productivity slowdown could be due to the limited redesign of business processes and business models following the adoption of new digital technologies by firms. Through the research programme Dr. Velu will provide a better understanding the relationship between business model innovation and productivity improvements following the adoption of intelligent automation technologies. Dr. Velu will build a digital tool for management information and decision support systems for assessment of productivity of business models in order to enable rapid and sustained improvements in productivity within firms following the adoption of digital technologies. In doing so, the Dr Velu aims to propose a new framework for productivity reporting for national income accounting.Dr. Velu will conduct historical analysis of firms that have implemented intelligent automation technologies in order to learn and develop the criteria for productivity measurement of business models. This will include analysis from historical publically available data as well as within firm analysis of a number of selected sectors such as manufacturing, distribution and the sharing economy. In addition, the research will conduct longitudinal in depth analysis of firms in similar sectors as the historical analysis in order to build a digital tool that will identify business model innovation opportunities following the adoption of intelligent automation technologies. This will involve working with the senior management team of a selected number of firms in these sectors in order to define the data requirements, draw-up the technology specification, develop the software programme, populate and test the digital tool with data and propose ways to embed the digital productivity tool within existing management reporting systems. The research will benefit firms as it will provide the basis for a systematic evaluation of the need for business model innovation opportunities following the implementation of intelligent automation technologies. The research will also benefit policymakers by defining good quality and appropriate data in addressing the challenges of measuring productivity in the digital economy.
尽管数字技术盛行,但过去十年主要经济体和新兴市场的生产率增长一直在放缓。这种现象被广泛称为生产力悖论。与其他主要经济体相比,英国的生产率增长放缓尤其严重。此外,信息和通信技术(ICT)用户最密集的行业似乎对生产率下降负有最大责任。生产力下降的主要原因之一可能是由于企业采用新的数字技术后对业务流程和业务模型的重新设计有限。通过该研究项目,Velu 博士将更好地理解采用智能自动化技术后商业模式创新与生产力提高之间的关系。 Velu 博士将为管理信息和决策支持系统构建一个数字工具,用于评估商业模式的生产力,以便在采用数字技术后能够快速、持续地提高企业的生产力。在此过程中,Velu 博士旨在为国民收入核算提出一个新的生产力报告框架。 Velu将对已实施智能自动化技术的公司进行历史分析,以学习和制定商业模式生产力衡量标准。这将包括对历史公开数据的分析以及对制造、分销和共享经济等一些选定行业的公司内部分析。此外,该研究还将对类似行业的企业进行纵向深入分析,作为历史分析,以构建一个数字工具,识别采用智能自动化技术后的商业模式创新机会。这将涉及与这些行业中选定数量的公司的高级管理团队合作,以确定数据要求,起草技术规范,开发软件程序,用数据填充和测试数字工具,并提出将数字生产力工具嵌入现有管理报告系统的方法。该研究将使企业受益,因为它将为系统评估智能自动化技术实施后商业模式创新机会的需求提供基础。该研究还将通过定义高质量和适当的数据来应对衡量数字经济生产力的挑战,从而使政策制定者受益。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The Effect of Robot Adoption on Profit Margins
- DOI:10.1109/tem.2023.3260734
- 发表时间:2024
- 期刊:
- 影响因子:5.8
- 作者:Y. Chen;C. Velu;D. McFarlane
- 通讯作者:Y. Chen;C. Velu;D. McFarlane
Malaysianization and the Barlow Boustead Estates Agency
马来西亚化和 Barlow Boustead 地产代理
- DOI:10.1353/ras.2020.0013
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Glew R
- 通讯作者:Glew R
Monitoring on a shoestring: Low cost solutions for digital manufacturing
- DOI:10.1016/j.arcontrol.2021.04.007
- 发表时间:2021-04
- 期刊:
- 影响因子:0
- 作者:Greg Hawkridge;Anandarup Mukherjee;D. McFarlane;Yedige Tlegenov;A. Parlikad;Nicholas J. Reyner;Alan Thorne
- 通讯作者:Greg Hawkridge;Anandarup Mukherjee;D. McFarlane;Yedige Tlegenov;A. Parlikad;Nicholas J. Reyner;Alan Thorne
Does Blockchain for 3D Printing Offer Opportunities for Business Model Innovation?
3D打印区块链是否为商业模式创新提供机会?
- DOI:10.1080/08956308.2020.1762444
- 发表时间:2020
- 期刊:
- 影响因子:2.2
- 作者:Klöckner M
- 通讯作者:Klöckner M
Preparing for Industry 4.0: digital business model innovation in the food and beverage industry
为工业 4.0 做好准备:食品和饮料行业的数字化商业模式创新
- DOI:10.1504/ijmms.2020.108334
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Köbnick P
- 通讯作者:Köbnick P
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Chander Velu其他文献
The strategy behind one of the most successful labs in the world.
世界上最成功的实验室之一背后的战略。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:64.8
- 作者:
Luka Gebel;Chander Velu;Antonio Vidal - 通讯作者:
Antonio Vidal
Real options and demographic decisions
- DOI:
10.1016/j.jdeveco.2005.02.005 - 发表时间:
2006-06-01 - 期刊:
- 影响因子:
- 作者:
Sriya Iyer;Chander Velu - 通讯作者:
Chander Velu
When to adopt a service innovation: Nash equilibria in a competitive diffusion framework
- DOI:
10.1016/j.ejor.2018.05.038 - 发表时间:
2018-12-16 - 期刊:
- 影响因子:
- 作者:
M. Fazıl Paç;Sergei Savin;Chander Velu - 通讯作者:
Chander Velu
Chander Velu的其他文献
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