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The purpose of this paper is to review options for measuring innovation in the informal sector and proposes an agenda for future work.

It starts with a review of surveys of innovation in the formal business sector, and related definitions, as sources of questions and definitions which could be applied to the informal sector. Then, labor force surveys, and those that are combined with establishment surveys to measure informal sector activities, are examined with a view to adding questions, or modules, on the measurement of innovation in the informal sector. In addition, the advantages of using semi-structured interviews and ad hoc questionnaires in specific sub-sectors of the informal sector are explored.

The discussion leads to a possible agenda for future work on the development of policy relevant indicators of innovation in the informal economy. Two viable scenarios emerge: first, adding innovation questions to existing large-scale surveys of the informal economy; and/or second, conducting ad hoc questionnaire- and interview-based sectoral studies in selected countries.

The proposed course of actions suffers from a few shortcomings: first, amending existing surveys as proposed here is always a challenging undertaking. A new survey questions have to be tested (cognitive and other testing); their deployment also depends on the willingness of countries to include new questions. Second, surveying the informal economy and applying proper sampling will remain an issue, no matter how good the survey design, and not matter how sincere the effort. Third, and finally, conducting these new survey techniques will require substantial resources over time.

In the coming years, new efforts are planned to gather data and better measure innovation in developing countries, such as the third edition of the African Innovation Outlook. This will widen the scope of reporting and analysis to include coverage of innovations in the informal sector (AU-NEPAD 2014). The suggestions in this chapter are intended to lay important groundwork for future empirical work, to help develop appropriate indicators and support new approaches to innovation policy in developing countries. Pragmatic suggestions are formulated, pointing to potential opportunities and challenges.

The informal economy is a hugely important contributor to economic growth and social well-being in Africa and other developing countries. Better measurement and contributing to a better understanding of innovation in the informal economy will be important progress.

The contribution of the paper lies in the novel combination of tested approaches in informal sector surveys, on the one hand, and innovation surveys in the formal sector, on the other hand. The approaches provide ways forward to gain better understanding of the innovation in the informal economy, and to support innovation policy in African countries and beyond.

A growing number of African countries are starting to produce science, technology and innovation (STI) indicators. The purpose of this paper is to provide some lessons learnt in the production and use of STI indicators in Malawi and South Africa. It is compares the two countries’ efforts to conduct Research and Development (R&D) surveys and examines whether and how STI indicators are used in policymaking processes.

The study approach is qualitative. The research methodology encompasses a thorough review of both policy and academic literature as well as some interviews.

The study demonstrates that South Africa has a relatively developed institutional arrangement for undertaking R&D and innovation surveys and developing related STI indicators. There is evidence that efforts are being made to use STI indicators to inform policymaking in the country. On the other hand, Malawi conducted its first R&D survey under the African Science, Technology and Innovation Indicators Initiative (ASTII) and has not established an institutional mechanism dedicated to producing STI indicators. There is no evidence that indicators are used in, or to inform, policymaking in the country.

Because of significant differences in STI policymaking histories, capacities and cultures of the two countries, it is not really useful to compare the STI production and use. Rather it is important to draw lessons from the efforts of the two countries.

The results suggest that the production of STI indicators should be embedded in policy processes. To be useful and effective, STI indicators production needs to be explicitly linked to policy formulation, evaluation and monitoring activities without necessarily undermining the independence of producing STI indicators.

Creating stand-alone programmes or agencies for R&D and innovation surveys without clear articulation with policymaking needs erodes opportunities of having evidence-based STI policy regimes.

Although in 2005 only South Africa and Tunisia had national programmes dedicated to the generation of R&D statistics, by the end of 2010 at least 19 African countries had experimented with conducting R&D surveys under the auspices of the ASTII of the New Partnership for Africa’s Development. These countries accumulated different experiences and consequently build different kinds of institutional capacities. Through the Malawi and South Africa case studies, some important lessons for STI indicators production and use and STI policymaking can be drawn for developing countries in general and African countries in particular.

Rather than businesses, individual end consumers may develop innovations for themselves. Innovating consumers generally do not protect their innovations with intellectual property rights and may be generally available – a phenomenon recently coined as “free innovation” (von Hippel, 2016). The purpose of this paper is to take stock of how innovation by individual consumers has been measured, and to propose a survey procedure for future studies of consumer innovation.

The author provides a literature review of how innovation by individual end consumers has been measured, and reports on a pilot study conducted in Finland to improve and standardize the measurement of consumer innovation.

The survey procedure includes up to six steps which can be tailored to specific research purposes.

The procedure will enable better international/cross-study comparisons and an efficient collection of data.

This article aims to highlight the results of a Global Innovation Survey from 407 organizations representing 33 countries. This was the third of three surveys conducted by the researchers since 2011. Ten key insights were formulated to gauge the progress of innovation in organizations as well as the practice and success of nine innovation methods (data analytics, design thinking, innovation metrics, etc.) used to support innovation execution.

The survey data was bifurcated into two groups, high and low innovators, by analyzing their innovation scores using a K-means cluster analysis. This was followed by correlational analysis with the innovation practices by these groups. Qualitative survey data was also collected and used to interpret the results.

Overall innovation scores have improved over the decade. Organizations are still struggling with process drivers such as idea management and innovation measures. High innovators are pervasively using innovative methods to advance innovation execution much more than low innovators. The two methods that showed the highest correlation to an innovative culture were design thinking and open innovation.

Comparing the Global Innovation Survey to two other surveys, 2011 Canadian Executives (n = 605) and 2013 US Fortune 1000 (n = 1,203) that use the same innovation measurement scale, provides a unique longitudinal perspective. The nine innovation methods investigated in the Global Innovation Survey provide original insight into how high and low innovative organizations are using methods to advance innovation execution.

The goal of this research is to evaluate obstacles to innovation according to the perception of firms in the Chilean food sector, and to assess the relationships of these obstacles with innovation spending and willingness to innovate.

We analyzed data from the Chilean National Innovation Survey (Encuesta Nacional de Innovación) of 2017 and 2019, which were administered by the Ministry of Economy and the National Institute of Statistics. This survey is designed to be nationally representative. The methods we employed to analyze the data include linear regression, probit and logit models and factor analysis.

We found that obstacles to innovation can be grouped into five types, namely: cost-based, knowledge-related, market problems, lack of necessity for innovations and regulatory. Cost was positively, and significantly, associated with innovation (expenditures and willingness to innovate). We argue that this is because as firms engage in innovation, they become aware of the associated costs. Also, knowledge obstacles and lack of necessity were negatively associated with innovation. This may mean that as firms engage in innovation, they are able to overcome said obstacles; which speaks well of their innovation ecosystem.

We develop the argument that survey-based studies of obstacles are amenable to a perception-based interpretation of obstacles, because most surveys tend to collect firms' perceptions. Consequently, we provide perception-based explanations for our findings. Additionally, most empirical studies of obstacles in the food sector are of a qualitative nature. Our work supplements this literature with a quantitative analysis that can expand our understanding of innovation in the food industry.

The purpose of this study is to discuss the theory of gender bias in innovation studies, to illustrate the gender bias of innovation studies by using empirical means and to suggest what is needed to reduce such bias. Previous studies on innovation have primarily focussed on male-dominated industries. These studies have been biased and hence unable to capture the range of innovations covered by theoretical definitions.

An innovation survey was conducted among entrepreneurs in the traditionally “female-labelled” health-care industry, avoiding the “male-labelled” concept of innovation itself in the questionnaire. The authors endeavoured to ascertain whether there is a significant difference between males and females in terms of innovativeness. Quantitative analyses were used to analyse the results and draw comparisons with an ordinary innovation survey.

Using a gender-aware operationalisation of innovation, no significant difference in innovativeness was found between men and women. This suggests that more attention is needed to correct the prevailing gender bias in innovation studies. A research model is presented to further understand the gender-biased operationalisations of innovation. Each of its three dimensions has a clear impact upon perceived innovativeness: the gender-label of the sector studied, the gender-neutrality of the operationalisation used in the study and the gender of the actors involved. All dimensions should be taken into account in future innovation studies that aim for gender neutrality.

Operationalisations for measuring innovations are usually biased. Therefore, women appear less innovative, which, in turn, leads to less visibility.

Gender perspectives are very seldom employed in innovation studies. In quantitative studies of this sort, it is even rarer. Our empirical evidence from the quantitative study shows the urgency of the need to broaden the concept both in academic, political and public debates. This is not the least for efficiency reasons in resource allocation and public policy.

This study aims to analyze the innovation overview of the Brazilian industrial sector using data published by innovation survey – PINTEC. The aim was to provide a macro and updated diagnosis of the innovation scenario in Brazil and build reflections for further studies.

The authors used information from the years 1998–2014 covered by PINTEC to analyze innovation indicators, namely, innovation types, problems and obstacles, novelty degree, established partnerships and interactions, as well as governmental incentives. This study is exploratory; thus, descriptive methods were used for data presentation through analyses and presented through figures and tables.

The results show that innovation of the Brazilian industrial sector is concentrated mainly in the acquisition of machinery and equipment, innovations that already exist in national or global markets, interactions for the innovation process with suppliers and governmental support for financing machinery and equipment acquisitions.

This study has relevance, as its results provide important subsidies for policy-makers to incorporate the needs and overcome challenges of innovation in Brazil.

This study first aims to survey the state of user innovation in Iran and then identified barriers and incentives for user innovation in Iran.

In this study, a questionnaire (through 1,360 adults from Iran) prepared by De Jong (2016) was used to survey user innovation.

The results showed: the percentage of user innovators is high in Iran, there is no linear relationship between the income of a country and the percentage of the user innovators, there is a positive relationship between the education level and the percentage of user innovators in Iran, there is no linear relationship between the number of people educated in the scientific and technical fields and the percentage of user innovators. Finally, based on surveying users opinion in questionnaire, four incentives and five barriers in user innovation were identified that can help policymakers to improve their innovation policies.

Literature review in this field showed it was found that in a number of developed countries, the issue of user innovation has been addressed, but in Iran as a developing country, no such research has been conducted so far. In addition, it was found that so far, no comprehensive research has identified barriers and incentives for user innovation, so this study, first surveyed the state of user innovation in Iran and then identified barriers and incentives for user innovation in Iran.

The purpose of this paper is to investigate the effect of financial constraints on innovation in developing countries. It also examines how the effect of financial constraints varies by sector and with main firm characteristics such as size and age.

The study utilizes matched firm-level data from two sources; the World Bank Enterprise Survey and the Innovation Follow-Up Survey. From 11 African countries, 4,720 firms have been included in the sample. A recursive bivariate probit model is used.

The result shows that financial constraints adversely affect a firm’s decision to engage in innovative activities and the likelihood to have product innovation and process innovation. The results point out that the extent of the adverse effect of financial constraints on innovation differs across the sectors, firm size and age groups. A firm’s innovation is also explained by firm size, R&D, cooperation/alliance, the human capital of the firm, staff training, public financial support and export. At last, the probability of encountering financial constraints is explained by firms’ ex ante financing structure, amount of collateral, accounting and auditing practices and group membership.

Managers should strengthen the internal and external financing capacity to reduce financing constraints and their adverse effect on innovation.

A pending policy task for African leaders is to design and evaluate reforms that reduce the adverse effects of financial constraints on innovation.

This study contributes to the existing literature on financing of innovation by examining how and to what extent financial constraints affect innovation across various sectors, size and age groups.

Students are an essential part of university innovation. Through their training, research and energy, students acquire and transfer knowledge to industry, and they help establish new businesses and start-up companies. This paper investigates how universities might capture the entrepreneurial energies of students toward the goal of university improvement and transformation while also educating students to pursue their aspirations to create new businesses.

A framework is presented for integrating “Students as Partners” (SaP) with entrepreneurship training to achieve “inside innovation,” meaning innovation to advance the practices of the university. Students participating in Blackstone Launchpad at three American universities were surveyed as to how they perceive innovation culture and support at their universities.

Common services (help with business plans, market assessment and entrepreneurial training) had the biggest positive effect on satisfaction with university support. Nevertheless, many students had sought to apply their innovations inside their university and, in so doing, found navigating bureaucracy and knowing “whom to talk to” to be the biggest obstacles. Respondents were least likely to agree with the statement that their institution was willing to accept risks.

Survey included three universities. A larger sample would be useful for a broader assessment.

Partnered services, technology entrepreneurship, system add-ons and immersion are proposed as four strategies to overcome obstacles to make universities more innovative in their practices.

The paper proposes a culture change toward engaging student entrepreneurs in innovation within universities to improve higher education practices.

A framework for how higher education leaders might use the SaP model to capture entrepreneurial energies of students for university improvement and transformation.