Wojan - Subject Base innovation research 2014 ERS rural innovation surveyinnovationoecd
This document summarizes a presentation given by Timothy R. Wojan of the USDA Economic Research Service about measuring innovation in rural establishments. It discusses prior assumptions that rural innovation is rare and inconsequential. It presents a new survey of over 11,000 rural establishments that uses latent class analysis to identify subgroups of establishments as substantive innovators, data-driven innovators, nominal innovators, or non-innovators. Preliminary results suggest substantive rural innovators are more common than expected, especially in some industries and larger establishments. The reliable identification of rural innovators could help target rural policy efforts to support innovation-led growth.
Presentation at the UKIS User Group event held at BEIS on the 20th March 2017. Barriers to innovation.Methods, evidence and
implications for data collection.
Schneider eckl - The difference make a differenceinnovationoecd
This document discusses research on the relationship between team diversity and innovative capacity. It finds that firms with more diverse research teams in terms of gender, nationality, and field of education tend to have higher innovative capacity, as measured by R&D intensity and innovative efficiency. Specifically, firms with more female researchers showed significantly higher future innovativeness and innovative efficiency. Firms with more foreign and non-STEM researchers also had higher innovativeness but not higher efficiency, possibly because they conduct more basic research. The study uses data from a German R&D survey of over 1,800 firms to analyze these relationships while controlling for firm size, industry, and other factors.
Mohnen - Innovation and in formal and informal firms in Ghanainnovationoecd
This document reports on a study that examined innovation and productivity in formal and informal firms in Ghana. The study found that:
1) Informal firms engaged in innovation less than formal firms but innovation had a larger positive effect on productivity in informal firms.
2) Entrepreneurial skills and attitudes were an important driver of innovation, especially in informal firms.
3) Formal firms had higher productivity than informal firms, which the study attributed to differences in capital intensity and firm size between the sectors. Innovation helped increase productivity in both formal and informal firms.
Maghe - National innovation system and policy mixinnovationoecd
This document summarizes a study that classified innovation policies across 34 countries based on their objectives, instruments, beneficiaries, and sectors. Cluster analysis identified 5 main policy clusters: 1) countries focusing on research organizations and science, 2) countries targeting market-oriented R&D, 3) weaker innovators focusing on knowledge transfer, 4) Eastern EU countries targeting competencies, and 5) top innovators focusing on upstream R&D. The study aims to evaluate policy efficiency and complement traditional innovation performance indicators. Further research needs extensive comparable policy databases across countries.
Gokhberg - Undervalued innovators: Expansion of the harmonised innovation sur...innovationoecd
This document discusses expanding innovation surveys to include additional sectors beyond manufacturing and services.
It provides rationales for increasing the sectoral coverage of surveys to mining, utilities, and agriculture due to the transformative effects of new technologies across all sectors. These sectors represent significant shares of GDP and employment in some countries.
The document also notes the need to consider sector-specific definitions, activities, and knowledge patterns in survey methodology. Case studies on mining, utilities, and agriculture highlight technological trends driving innovation in those industries. Surveys in Russia have found mining and utilities display innovation intensities similar to low-tech sectors.
deJong - The importance of measuring husehold sector innovationinnovationoecd
This document discusses the importance of measuring household sector innovation. Some key points:
- Household sector innovation, or innovation by individual consumers, accounts for millions of innovations and substantial time and money spent. However, only a small percentage diffuse beyond the innovating household.
- Surveys can measure household sector innovation by asking consumers about novel products or modifications they have developed for personal use. Firm surveys can also track adoption of household sector innovations.
- Further developing social surveys of household innovators and revising firm innovation surveys to explicitly measure adoption of household innovations would help better capture this important type of grassroots innovation.
Dosi - The persistence of growth of large corporationsinnovationoecd
This document explores the persistence of growth in large corporations using US data from 1963-2015. It finds that while firm growth is generally not highly persistent for the average firm, some firms and industries do exhibit sustained superior growth over long periods of time. Growth rates are distributed in tent-shaped patterns and vary across industries. Firm growth is positively correlated with relative productivity and innovation measures like patents, and higher-growth firms tend to be clustered in faster-growing industries. However, the underlying drivers of persistent growth are not fully understood and require more in-depth case studies at firm and industry levels.
Wojan - Subject Base innovation research 2014 ERS rural innovation surveyinnovationoecd
This document summarizes a presentation given by Timothy R. Wojan of the USDA Economic Research Service about measuring innovation in rural establishments. It discusses prior assumptions that rural innovation is rare and inconsequential. It presents a new survey of over 11,000 rural establishments that uses latent class analysis to identify subgroups of establishments as substantive innovators, data-driven innovators, nominal innovators, or non-innovators. Preliminary results suggest substantive rural innovators are more common than expected, especially in some industries and larger establishments. The reliable identification of rural innovators could help target rural policy efforts to support innovation-led growth.
Presentation at the UKIS User Group event held at BEIS on the 20th March 2017. Barriers to innovation.Methods, evidence and
implications for data collection.
Schneider eckl - The difference make a differenceinnovationoecd
This document discusses research on the relationship between team diversity and innovative capacity. It finds that firms with more diverse research teams in terms of gender, nationality, and field of education tend to have higher innovative capacity, as measured by R&D intensity and innovative efficiency. Specifically, firms with more female researchers showed significantly higher future innovativeness and innovative efficiency. Firms with more foreign and non-STEM researchers also had higher innovativeness but not higher efficiency, possibly because they conduct more basic research. The study uses data from a German R&D survey of over 1,800 firms to analyze these relationships while controlling for firm size, industry, and other factors.
Mohnen - Innovation and in formal and informal firms in Ghanainnovationoecd
This document reports on a study that examined innovation and productivity in formal and informal firms in Ghana. The study found that:
1) Informal firms engaged in innovation less than formal firms but innovation had a larger positive effect on productivity in informal firms.
2) Entrepreneurial skills and attitudes were an important driver of innovation, especially in informal firms.
3) Formal firms had higher productivity than informal firms, which the study attributed to differences in capital intensity and firm size between the sectors. Innovation helped increase productivity in both formal and informal firms.
Maghe - National innovation system and policy mixinnovationoecd
This document summarizes a study that classified innovation policies across 34 countries based on their objectives, instruments, beneficiaries, and sectors. Cluster analysis identified 5 main policy clusters: 1) countries focusing on research organizations and science, 2) countries targeting market-oriented R&D, 3) weaker innovators focusing on knowledge transfer, 4) Eastern EU countries targeting competencies, and 5) top innovators focusing on upstream R&D. The study aims to evaluate policy efficiency and complement traditional innovation performance indicators. Further research needs extensive comparable policy databases across countries.
Gokhberg - Undervalued innovators: Expansion of the harmonised innovation sur...innovationoecd
This document discusses expanding innovation surveys to include additional sectors beyond manufacturing and services.
It provides rationales for increasing the sectoral coverage of surveys to mining, utilities, and agriculture due to the transformative effects of new technologies across all sectors. These sectors represent significant shares of GDP and employment in some countries.
The document also notes the need to consider sector-specific definitions, activities, and knowledge patterns in survey methodology. Case studies on mining, utilities, and agriculture highlight technological trends driving innovation in those industries. Surveys in Russia have found mining and utilities display innovation intensities similar to low-tech sectors.
deJong - The importance of measuring husehold sector innovationinnovationoecd
This document discusses the importance of measuring household sector innovation. Some key points:
- Household sector innovation, or innovation by individual consumers, accounts for millions of innovations and substantial time and money spent. However, only a small percentage diffuse beyond the innovating household.
- Surveys can measure household sector innovation by asking consumers about novel products or modifications they have developed for personal use. Firm surveys can also track adoption of household sector innovations.
- Further developing social surveys of household innovators and revising firm innovation surveys to explicitly measure adoption of household innovations would help better capture this important type of grassroots innovation.
Dosi - The persistence of growth of large corporationsinnovationoecd
This document explores the persistence of growth in large corporations using US data from 1963-2015. It finds that while firm growth is generally not highly persistent for the average firm, some firms and industries do exhibit sustained superior growth over long periods of time. Growth rates are distributed in tent-shaped patterns and vary across industries. Firm growth is positively correlated with relative productivity and innovation measures like patents, and higher-growth firms tend to be clustered in faster-growing industries. However, the underlying drivers of persistent growth are not fully understood and require more in-depth case studies at firm and industry levels.
Openness and innovation performance: are small firms different? (slides, pdf ...enterpriseresearchcentre
- The document discusses open innovation in small firms and examines data from the Irish Innovation Panel on linkages between firms and external organizations from 1994-2008.
- It finds that while small firms have fewer external linkages than large firms, having a greater variety of knowledge linkages ("breadth of openness") is more strongly associated with improved innovation performance for small firms. However, small firms reach the limits of benefiting from external linkages more quickly.
- For both small and large firms, linkages within the supply chain have the strongest relationship with innovation outputs, while linkages with universities and labs have a weaker or negative relationship.
This document summarizes research on skills, management practices, and productivity in small and medium enterprises (SMEs). The main points are:
1. The research examines the links between managerial skills, practices adopted by SMEs, and productivity using survey and longitudinal data. It finds that higher entrepreneurial skills are associated with more structured managerial practices, and adopting more practices leads to higher productivity.
2. Key results show entrepreneurial skills, leadership skills, and organizational skills are positively correlated with productivity. Adopting additional human resource practices is also linked to around 2% higher productivity after 3 years.
3. The implications are that both skills development and coaching to help firms adopt practices are needed to
Alessandra Faggian -The impact of external knowledge sourcing on innovation o...OECD CFE
Presentation by Alessandra Faggian, Gran Sasso Science Institute, L’Aquila, Italy at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
The document provides an overview of accounting for science and technology (S&T) and measuring S&T output. It discusses the challenges in quantifying S&T outputs and different indicators used, including R&D expenditures, patents, publications, citations and more. It also notes limitations of various indicators and the need to use multiple complementary measures to fully assess S&T activities and impacts.
Area of Work: Innovation
Title: Key Factors influencing Countries Innovation
Objectives: Evaluating the Components that contribute to a county’s innovation Performance.
For efficient use of resources in those areas, will help developing countries to emerge on a fast track.
Methodology: Using Regression model (panel data analysis)
A Guide to Business Process Outsourcing - CogneesolCogneesol
Business Process Outsourcing is becoming the latest trend in recent years. Know about the factors driving the need for outsourcing business solutions and common traps of outsourcing. Also know what to outsource or what type of business solutions are suitable for you to improve the overall productivity of your business process.
II-SDV 2017: What is Innovation and how can we measure it?Dr. Haxel Consult
Innovation means many different things to many people. Ask five people and you will likely get ten answers. But all agree that it is a key driver behind the success of organizations, the growth of economies and provides major contributions in addressing global problems. This presentation will examine various analytical methods and possible metrics for measuring innovation and determining relative performance of organizations. The challenges involved in assessing innovation and how these can be addressed will be explored. The pros and cons associated with the metrics identified will also be discussed with a view to identifying a practical method for assessing innovation.
1) The document analyzes differences in the drivers of innovation across sectors in Ireland using survey data.
2) It finds that while external interactions are important for product innovation, the effects vary across sectors. R&D is consistently important across all sectors.
3) For new products, manufacturing sectors differ in their external knowledge sources and the importance of being indigenous or foreign-owned, calling for nuanced sectoral innovation policies.
- The document summarizes Dr. Schwarzkopf's background and experience in computer information services, academia, consulting, sales, marketing, teaching, and entrepreneurship.
- It describes his roles founding three IT companies and serving on various boards and committees.
- It lists his educational background including degrees from the University of Central Florida, Carnegie Mellon University, and Case Western Reserve University.
Dr. Schwarzkopf has over 35 years of experience in various areas of computer information services including as an industry analyst, academic researcher, consultant, systems professional, sales and marketing professional, and entrepreneur. He has founded three IT companies. Dr. Schwarzkopf also served on various boards and committees. He holds multiple advanced degrees in related fields from universities in the US and Israel.
This document examines how the source of a business idea influences venture performance. It hypothesizes that in transitional institutional environments, ideas from policy sources perform better, while in stable environments, market-driven ideas perform better. Survey data from Chinese entrepreneurs supports the hypotheses, finding policy-driven ideas led to better performance during periods of transition, while market ideas worked best when the environment was stable. The findings suggest the source of the business idea deserves more attention in entrepreneurship research.
This document summarizes a study examining how market orientation (MO) influences small- and medium-sized enterprises' (SMEs) participation in public sector procurement. The study found that SMEs with higher MO, including a focus on customers, competitors, and internal coordination, were more actively seeking out public tender opportunities and submitting bids. Interfunctional coordination within SMEs in particular influenced greater activity in public procurement participation. The results suggest MO helps SMEs understand public sector customers and compete effectively for government contracts.
The Oslo Manual is the international reference guide for collecting and using data on innovation. In this new 4th edition, published in October 2018, the manual has been updated to take into account a broader range of innovation-related phenomena as well as the experience gained from recent rounds of innovation surveys in OECD countries and partner economies and organisations.
Bis science innovation week presentation tera 140314 full slide packTera Allas
The document provides an overview of the UK's science and innovation system compared to other countries. It finds that the UK has strengths in areas like the quality of scientific research and supportive business environment, but weaknesses in overall investment in R&D, human capital issues, and less innovative small and medium enterprises. The analysis uses frameworks to benchmark different elements of science and innovation systems, including money invested, talent/skills, knowledge assets, structures/incentives, and outputs, to evaluate the UK's performance in an international context.
Insights on the performance of the UK's science and innovation systemTera Allas
Summary slide pack drawing out main conclusions of the BIS report on "Insights from international benchmarking of the UK's science and innovation system"
This document discusses clusters and cluster management. It begins by defining clusters as geographic concentrations of interconnected businesses and institutions in a particular field. It notes clusters are related through buyer-supplier relationships, common technologies, and distribution channels. Clusters provide a learning environment and have close geographic proximity. The document discusses critical dimensions of clusters, why their development is important for policymakers, how government can support cluster development through various policies and programs, and challenges facing clusters from globalization and other factors. It also examines networks within clusters and different models of internationalization for clusters.
Publicly funded science can generate both direct benefits for supported businesses as well as indirect spillover benefits for other non-supported businesses through various mechanisms. This study aims to assess these spillover effects by examining how public R&D investment shapes the local innovation and business growth landscapes. Specifically, it will analyze relationships between public science funding, firms' product/service innovation rates, and business performance metrics using UK data. Additional analyses may explore how impacts vary by sector, area, funding type, partnership nature, and over time. The goal is to better understand wider indirect economic impacts of public science investments beyond just direct effects.
This document summarizes several presentations from the ERC Research Showcase on February 22nd 2024.
The first presentation identified a small group of UK SMEs called "Productivity Heroes" that have significantly increased turnover, jobs, and productivity at the same time between 2021-2022. The next steps are to track their long-term performance and understand the drivers of their productivity gains through qualitative research.
The second presentation discussed research on UK firms' export decisions. It found customer demand is important at all stages of exporting. Exporting firms make multiple decisions over time to first enter markets, exit and re-enter, and persist in exporting. Support should target firms at different points in their export journey.
The document outlines several projects and partnerships that the ERC will be involved in through 2024. These include projects on export decisions and mindsets, investment mindsets in the UK, mental health and wellbeing in the workplace, entrepreneurship focusing on ethnic minorities, innovation and infrastructure for commercialization in agriculture. The ERC can also help with rapid or systematic literature reviews, collaborative primary research, survey conduct, policy development, capacity building, and convening expert groups.
More Related Content
Similar to Local and firm level influences on innovation performance. Jim love. ERC Understanding Small Business Growth Conference 2015
Openness and innovation performance: are small firms different? (slides, pdf ...enterpriseresearchcentre
- The document discusses open innovation in small firms and examines data from the Irish Innovation Panel on linkages between firms and external organizations from 1994-2008.
- It finds that while small firms have fewer external linkages than large firms, having a greater variety of knowledge linkages ("breadth of openness") is more strongly associated with improved innovation performance for small firms. However, small firms reach the limits of benefiting from external linkages more quickly.
- For both small and large firms, linkages within the supply chain have the strongest relationship with innovation outputs, while linkages with universities and labs have a weaker or negative relationship.
This document summarizes research on skills, management practices, and productivity in small and medium enterprises (SMEs). The main points are:
1. The research examines the links between managerial skills, practices adopted by SMEs, and productivity using survey and longitudinal data. It finds that higher entrepreneurial skills are associated with more structured managerial practices, and adopting more practices leads to higher productivity.
2. Key results show entrepreneurial skills, leadership skills, and organizational skills are positively correlated with productivity. Adopting additional human resource practices is also linked to around 2% higher productivity after 3 years.
3. The implications are that both skills development and coaching to help firms adopt practices are needed to
Alessandra Faggian -The impact of external knowledge sourcing on innovation o...OECD CFE
Presentation by Alessandra Faggian, Gran Sasso Science Institute, L’Aquila, Italy at the OECD Workshop on Spatial Dimensions of Productivity, 28-29 March 2019, Bolzano.
More info: https://oe.cd/GFPBolzano2019
The document provides an overview of accounting for science and technology (S&T) and measuring S&T output. It discusses the challenges in quantifying S&T outputs and different indicators used, including R&D expenditures, patents, publications, citations and more. It also notes limitations of various indicators and the need to use multiple complementary measures to fully assess S&T activities and impacts.
Area of Work: Innovation
Title: Key Factors influencing Countries Innovation
Objectives: Evaluating the Components that contribute to a county’s innovation Performance.
For efficient use of resources in those areas, will help developing countries to emerge on a fast track.
Methodology: Using Regression model (panel data analysis)
A Guide to Business Process Outsourcing - CogneesolCogneesol
Business Process Outsourcing is becoming the latest trend in recent years. Know about the factors driving the need for outsourcing business solutions and common traps of outsourcing. Also know what to outsource or what type of business solutions are suitable for you to improve the overall productivity of your business process.
II-SDV 2017: What is Innovation and how can we measure it?Dr. Haxel Consult
Innovation means many different things to many people. Ask five people and you will likely get ten answers. But all agree that it is a key driver behind the success of organizations, the growth of economies and provides major contributions in addressing global problems. This presentation will examine various analytical methods and possible metrics for measuring innovation and determining relative performance of organizations. The challenges involved in assessing innovation and how these can be addressed will be explored. The pros and cons associated with the metrics identified will also be discussed with a view to identifying a practical method for assessing innovation.
1) The document analyzes differences in the drivers of innovation across sectors in Ireland using survey data.
2) It finds that while external interactions are important for product innovation, the effects vary across sectors. R&D is consistently important across all sectors.
3) For new products, manufacturing sectors differ in their external knowledge sources and the importance of being indigenous or foreign-owned, calling for nuanced sectoral innovation policies.
- The document summarizes Dr. Schwarzkopf's background and experience in computer information services, academia, consulting, sales, marketing, teaching, and entrepreneurship.
- It describes his roles founding three IT companies and serving on various boards and committees.
- It lists his educational background including degrees from the University of Central Florida, Carnegie Mellon University, and Case Western Reserve University.
Dr. Schwarzkopf has over 35 years of experience in various areas of computer information services including as an industry analyst, academic researcher, consultant, systems professional, sales and marketing professional, and entrepreneur. He has founded three IT companies. Dr. Schwarzkopf also served on various boards and committees. He holds multiple advanced degrees in related fields from universities in the US and Israel.
This document examines how the source of a business idea influences venture performance. It hypothesizes that in transitional institutional environments, ideas from policy sources perform better, while in stable environments, market-driven ideas perform better. Survey data from Chinese entrepreneurs supports the hypotheses, finding policy-driven ideas led to better performance during periods of transition, while market ideas worked best when the environment was stable. The findings suggest the source of the business idea deserves more attention in entrepreneurship research.
This document summarizes a study examining how market orientation (MO) influences small- and medium-sized enterprises' (SMEs) participation in public sector procurement. The study found that SMEs with higher MO, including a focus on customers, competitors, and internal coordination, were more actively seeking out public tender opportunities and submitting bids. Interfunctional coordination within SMEs in particular influenced greater activity in public procurement participation. The results suggest MO helps SMEs understand public sector customers and compete effectively for government contracts.
The Oslo Manual is the international reference guide for collecting and using data on innovation. In this new 4th edition, published in October 2018, the manual has been updated to take into account a broader range of innovation-related phenomena as well as the experience gained from recent rounds of innovation surveys in OECD countries and partner economies and organisations.
Bis science innovation week presentation tera 140314 full slide packTera Allas
The document provides an overview of the UK's science and innovation system compared to other countries. It finds that the UK has strengths in areas like the quality of scientific research and supportive business environment, but weaknesses in overall investment in R&D, human capital issues, and less innovative small and medium enterprises. The analysis uses frameworks to benchmark different elements of science and innovation systems, including money invested, talent/skills, knowledge assets, structures/incentives, and outputs, to evaluate the UK's performance in an international context.
Insights on the performance of the UK's science and innovation systemTera Allas
Summary slide pack drawing out main conclusions of the BIS report on "Insights from international benchmarking of the UK's science and innovation system"
This document discusses clusters and cluster management. It begins by defining clusters as geographic concentrations of interconnected businesses and institutions in a particular field. It notes clusters are related through buyer-supplier relationships, common technologies, and distribution channels. Clusters provide a learning environment and have close geographic proximity. The document discusses critical dimensions of clusters, why their development is important for policymakers, how government can support cluster development through various policies and programs, and challenges facing clusters from globalization and other factors. It also examines networks within clusters and different models of internationalization for clusters.
Publicly funded science can generate both direct benefits for supported businesses as well as indirect spillover benefits for other non-supported businesses through various mechanisms. This study aims to assess these spillover effects by examining how public R&D investment shapes the local innovation and business growth landscapes. Specifically, it will analyze relationships between public science funding, firms' product/service innovation rates, and business performance metrics using UK data. Additional analyses may explore how impacts vary by sector, area, funding type, partnership nature, and over time. The goal is to better understand wider indirect economic impacts of public science investments beyond just direct effects.
Similar to Local and firm level influences on innovation performance. Jim love. ERC Understanding Small Business Growth Conference 2015 (20)
This document summarizes several presentations from the ERC Research Showcase on February 22nd 2024.
The first presentation identified a small group of UK SMEs called "Productivity Heroes" that have significantly increased turnover, jobs, and productivity at the same time between 2021-2022. The next steps are to track their long-term performance and understand the drivers of their productivity gains through qualitative research.
The second presentation discussed research on UK firms' export decisions. It found customer demand is important at all stages of exporting. Exporting firms make multiple decisions over time to first enter markets, exit and re-enter, and persist in exporting. Support should target firms at different points in their export journey.
The document outlines several projects and partnerships that the ERC will be involved in through 2024. These include projects on export decisions and mindsets, investment mindsets in the UK, mental health and wellbeing in the workplace, entrepreneurship focusing on ethnic minorities, innovation and infrastructure for commercialization in agriculture. The ERC can also help with rapid or systematic literature reviews, collaborative primary research, survey conduct, policy development, capacity building, and convening expert groups.
This document provides a summary of over a decade of research from the Enterprise Research Centre on trends affecting small businesses in the UK. It finds that while the number of small businesses has grown, pressures have increased as well, requiring resilience. Research shows business growth depends on many factors like innovation, finance access, exporting, and management practices. However, many small firms face barriers in these areas. The document reviews research on topics that influence small business growth and productivity such as finance, business support, innovation, and leadership.
This document summarizes research on how UK firms make export decisions. It finds that:
- Customer demand plays a key role in firms' exporting decisions at various stages, though its importance may change over time.
- Exporting decisions are not static - firms change how and why they export as they persist, and new/intermittent exporters may do the same if they continue exporting.
- Multiple internal and external stakeholders, like business connections, influence export decision-making. Support targeted at different firms' export stages could encourage more exporting.
The document discusses research into small businesses in the UK called "Productivity Heroes" - defined as SMEs aged 3+ years that are growing both revenues and headcount, with revenues increasing at a faster rate. Out of over 1 million SMEs in 2021-22, around 8% or 36,298 firms qualified as Productivity Heroes, growing revenue by 196% on average while increasing jobs by 29%. The document recommends focusing policy support on these firms to better understand how to address the UK's productivity problem and long tail of unproductive small businesses. It also plans to track the performance of Productivity Heroes over time and understand the drivers of their productivity gains through future research.
Workplace mental health in England, Ireland and Sweden – a comparative study ...enterpriseresearchcentre
This document summarizes findings from a comparative study of workplace mental health in England, Ireland, and Sweden. It finds significant country-level differences in patterns of mental health-related sickness absence, presenteeism, engagement in mental health initiatives, and adoption of hybrid working models. Swedish firms reported lower impacts of mental health issues on operations despite higher absence rates. They were also more likely to invest in strategic initiatives than training. The implications discussed include how employers can best manage psychological detachment with remote working and address presenteeism issues that may arise.
Rural SMEs, environmental action, and perceived opportunities - Kevin Moleenterpriseresearchcentre
- Rural small businesses are more likely than urban ones to consider the environment when making decisions and take steps to reduce their environmental impact. However, very few measure their greenhouse gas emissions.
- Most rural businesses see opportunities around health/well-being and environmental/green products and services, though perceive constraints like cost and lack of expertise.
- Those seeing themselves well-placed to capitalize on opportunities are more likely to invest in areas like the environment, new products, and training, but challenges around housing, transport and broadband remain.
Firms’ response to climate change and digital technologies – insights from an...enterpriseresearchcentre
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This document summarizes the key points from an ERC Research Showcase event. It discusses several areas of current research being highlighted, including trade, climate change and digital technologies, rural SMEs and environmental action, and workplace mental health. Specifically, it outlines a study on firms' responses to climate change and digital technologies that aims to explore the relationships between the digital and net-zero transitions and their implications for firm productivity through an international comparative analysis. The study involves examining underlying conditions and enablers that influence the twin transition and productivity.
The causal effect of strategic human resource management systems on firm inno...enterpriseresearchcentre
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Firm-level decisions on productivity-enhancing investments Rapid literature r...enterpriseresearchcentre
1. The document reviews literature on firm-level decisions regarding productivity-enhancing investments. It finds heterogeneity in how different firm characteristics, contexts, markets, and structures influence investment decisions.
2. Investment decisions are contextual, influenced by external factors, the type of investment, financial constraints, investment objectives, and past investment history, both individually and combined.
3. Studies show different effects on tangible versus intangible investments, and potential combinations of the two. However, few examine who specifically makes investment decisions and what influences them.
4. Relatively little literature indicates that improving productivity is firms' primary investment goal.
This document summarizes key findings from the Longitudinal Small Business Survey (LSBS) for 2022. It provides data on various metrics like employment levels, turnover, profitability, innovation, exporting, access to finance, and obstacles faced by small businesses over multiple years. It shows trends like a decline in employment increases during the pandemic, followed by recovery. Innovation rates fell in 2020 but have since recovered. Exporting levels declined slightly each year. Risk appetite for external finance has decreased somewhat. Growth expectations and actual growth have improved since 2021. Training and innovation are consistently linked to better outcomes, while evidence is less clear for other activities.
Slide deck from the ERC _ IFB event held at the Shard on March 2nd 2023
This conference focussed on the theme of new frontiers in family business research. Researchers, decision makers, and family business practitioners came together to discuss current themes and challenges in the family business research field and practice, and to explore new priorities and avenues for research in 2023 and beyond.
This document summarizes presentations from the ERC Research Showcase on January 26th, 2023. It discusses three main topics:
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2) The "Managing Minds" intervention, an online training for line managers to prevent work-related stress, which showed improvements in manager competencies and employee well-being.
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Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
AI Transformation Playbook: Thinking AI-First for Your BusinessArijit Dutta
I dive into how businesses can stay competitive by integrating AI into their core processes. From identifying the right approach to building collaborative teams and recognizing common pitfalls, this guide has got you covered. AI transformation is a journey, and this playbook is here to help you navigate it successfully.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
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Local and firm level influences on innovation performance. Jim love. ERC Understanding Small Business Growth Conference 2015
1. Local and firm-level influences
on innovation performance
Stephen Roper, Jim Love and Karen Bonner
Enterprise Research Centre, Warwick
Business School and Aston Business School
2. Background
Change in policy landscape in England:
• Focus of local economic development ( and enterprise)
moving from RDAs to LEPs
• Renewed interest in how local business eco-system influences
firms’ innovation performance
• How ‘local’ is a business eco-system? Does the spread of local
influences vary for large and small firms?
3. Contribution
• Re-evaluate the impact of local economic environment on
innovation:
– Skills, occupational structure, perceived barriers to innovation
• Examine the role of firm search and knowledge acquisition
– Interactive and non-interactive knowledge search
• Externality (i.e. ‘spillover’) effect of firm search behaviour
– Potentially complex effects - spillovers vs. competition effects
• Does this differ at LEP and Local Authority level?
– does spatial scale matter?
5. Why do innovation eco-systems
matter?
• Location still matters even in a globally connected
world
• Knowledge has a spatial dimension:
– Some areas are more ‘knowledge rich’ than others – greater pool of
knowledge firms can draw on
– Reflects the range of institutions present as well as nature and extent
of inter-connectedness of firms
• Evidence that e.g. network density and structure is important in
encouraging innovation at firm level
6. How do firms draw on their eco-
systems?
Few firms innovate entirely from own internal (e.g. R&D) resources
Firms have a choice of how to access external knowledge
• Interactive Search
– Involves strategic intent and mutual engagement of parties – co-operative
relationships
• Non-interactive search
– Non-reciprocal e.g. imitation, copying, reverse engineering, codification of
public knowledge etc.
• Each has different costs and benefits, but likely to be
complementary
7. Externalities of openness
Externalities arising not from the quasi-public good nature of
local knowledge but from the open innovation process:
• the more widespread is the adoption of ‘openness’ in innovation the
greater will be the potential for knowledge diffusion through unplanned
and/or informal, unpriced mechanisms
• 3 possible mechanisms: knowledge diffusion or ‘buzz’ effects in dense
networks; imitation or demonstration; competition effects
• Roper et al (2013) find evidence of such externalities in Ireland
8. Empirical approach
Estimate modified innovation production function
Innovation in firm i is a function of
• R&D (RDi),
• Interactive knowledge sourcing (IKSi) and non-interactive knowledge
sourcing (NKSi)
• Resource base of the firm (RBASEi)– size, skills etc
• Strength of the local knowledge climate (LKj )
• Technology of the sector (ITECHk )
9. Data
• UK Innovation Survey (UKIS).
• We use pooled data from waves four to seven of the UKIS,
covering the periods 2002-04, 2004-06, 2006-08 and 2008-10
• Matched to data at both LEP and Local Authority District (LAD)
level on: local occupational mix, labour quality, and the
perceived barriers to innovation.
• Dependent variables:
– Proportion of new products in total sales
– (log) of firms' sales of products or services newly introduced during
the previous three years
10. Data (contd.)
Interactive and non-interactive search:
• Interactive (0-7)
– Standard measure of the ‘breadth’ of search activity
– the number of innovation partner types with which each firm was
working (other enterprises within the group; suppliers; customers;
competitors; consultants, commercial labs or private R&D institutes;
universities; government or public research institutes.)
• Non-interactive (0-4)
– four non-interactive knowledge contacts: conferences, trade fairs,
exhibitions; scientific journals and trade/technical publications; professional
and industry associations; technical, industry or service standards
• Externalities of openness – area averages of above measures
11. (1)
VARIABLES All
Employment (Log) -3.789***
(0.474)
R&D Investment 30.94***
(1.403)
Design investment 17.50***
(1.331)
Science Graduates 0.0986***
(0.0369)
Other Graduates 0.144***
(0.0315)
Exporter 5.796***
(1.384)
Interactive search 13.60***
(1.112)
Interactive search sqrd. -1.440***
(0.184)
Non-interactive search 14.28***
(1.468)
Non-interactive search sqrd. -2.828***
(0.379)
LEA SOC 7-9 0.340*
(0.198)
LEA NVQ3+ 0.219
(0.193)
LEA interactive 11.55*
(6.732)
LEA non-interactive -6.039
(8.417)
LEA barriers (avg.) -3.129
(2.997)
Constant -21.60
(26.00)
Observations 30,337
Standard results – R&D, design,
skills, exporting good for
innovation
Interactive and non-interactive
search: positive effect at
decreasing rate
Little evidence of local area skills
effects
Modest ‘openness externality’
effects (but note signs)
Standard results – R&D, design,
skills, exporting good for
innovation
Interactive and non-interactive
search: positive effect at
decreasing rate
Little evidence of local area skills
effects
Modest ‘openness externality’
effects (but note signs)
12. (1) (4) (5) (6)
VARIABLES All Small Medium Large
Employment (Log) -3.789*** -7.068*** -0.362 -0.0886
(0.474) (1.610) (1.424) (0.0737)
R&D Investment 30.94*** 33.58*** 21.55*** 18.77***
(1.403) (1.783) (1.806) (0.404)
Design investment 17.50*** 19.25*** 12.90*** 10.91***
(1.331) (1.742) (1.647) (0.368)
Science Graduates 0.0986*** 0.0919** 0.0878* 0.156***
(0.0369) (0.0457) (0.0472) (0.00978)
Other Graduates 0.144*** 0.154*** 0.0822* 0.0888***
(0.0315) (0.0392) (0.0443) (0.00733)
Exporter 5.796*** 5.840*** 7.056*** 1.392***
(1.384) (1.764) (1.785) (0.398)
Interactive search 13.60*** 15.14*** 9.058*** 7.691***
(1.112) (1.464) (1.125) (0.0997)
Interactive search sqrd. -1.440*** -1.618*** -0.942*** -0.688***
(0.184) (0.243) (0.194) (0.0150)
Non-interactive search 14.28*** 15.59*** 10.71*** 6.250***
(1.468) (1.922) (1.603) (0.147)
Non-interactive search sqrd. -2.828*** -3.109*** -2.116*** -0.926***
(0.379) (0.506) (0.416) (0.0354)
LEA SOC 7-9 0.340* 0.405 0.195 0.312***
(0.198) (0.252) (0.234) (0.0177)
LEA NVQ3+ 0.219 0.181 0.319 0.422***
(0.193) (0.242) (0.223) (0.00987)
LEA interactive 11.55* 12.38 7.132 5.881***
(6.732) (8.592) (7.260) (0.764)
LEA non-interactive -6.039 -5.731 -6.249 -5.850***
(8.417) (10.67) (9.670) (0.489)
LEA barriers (avg.) -3.129 -5.117 3.866 -2.429***
(2.997) (3.811) (3.530) (0.200)
Constant -21.60 -11.84 -45.79* -198.3***
(26.00) (31.40) (24.13) (0.483)
Observations 30,337 15,850 7,515 6,972
Small firms gain
most from
search
No effect on
SMEs
No effect on
SMEs
Small firms gain
most from
search
No effect on
SMEs
No effect on
SMEs
15. Does size of local area
matter?
General pattern of results unchanged.
Slight differences in results at Local Authority level on
externalities of openness:
• Positive effect of interactive search externality stronger at LA
level
• Externalities of openness affect small as well as large firms at
LA level
Still no evidence of eco-system effects on SME innovation
16. Summary and conclusions
• Strong effects of interactive and non-interactive knowledge
sourcing – but subject to diminishing returns
• For most firms, level of such activity below (private) optimum
• Little effect of local eco-system on innovation on SMEs
– Improving skills will make little difference
– Firms not disadvantaged by being in low-skills areas
• Strong positive externality of interactive knowledge sourcing
– Potential role for policy intervention?
• Strong negative externality of non-interactive k sourcing
– Suggests social costs in areas high in copying, imitation etc.