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Existing attempts to assess national development and processes of democratization suffer from conceptual and measurement challenges. This paper proposes a comprehensive concept of democratic development and develops a more inclusive concept of democracy to provide a common set of categories to evaluate its depth and quality.

In order to measure the depth and health of democracy, democratic development incorporates four categories of human progress, each measured by multiple variables. The four categories deemed important for human progress are general development, democratic health, democratic inclusiveness, and human capital. Components of democratic development incorporate existing measures of political and economic development to create a comprehensive and accessible measure of democratic development.

The comparative tables based on multiple goals of development clearly reveal that neither the GDP index nor the HDI are adequate measures of development. Democratic development can be more fully captured by four perspectives: development, democratic inclusiveness, democratic health, and human capital, providing a framework to measure progress in reform, democracy, and development, from public agencies up to the national level. This concept incorporates aspects and orientations of the capabilities approach to create a concept that is amenable to use as a self‐assessment tool and as a basis for comparison of development, broadly conceived.

This inclusive concept is particularly well suited for analyzing citizen satisfaction and democratic stability.

Rather than focusing on singular measures, the approach presented here offers a balanced set of measures aimed at providing a comprehensive view of the gamut of democratic and economic development processes relative to existing models that is more appropriate for self‐assessment/planning purposes than traditional measures, which may be more appropriate for statistical modeling purposes.

The paper examines whether there is a threshold between financial development and poverty in African economies.

The study adopts the innovative dynamic panel threshold model of Seo and Shin (2016) made practicable by Seo et al. (2019)–the model estimates threshold relationship even in the presence of endogeneity. Also, following the recommendations of Cihak et al. (2013) and Sahay et al. (2015), we also adopt a robust measure of financial development based on the four pillars of financial deepening, stability, efficiency and access derived from the principal component analysis (PCA).

The empirical results show that there exists a threshold level of financial development necessary for poverty reduction in Africa.

Our result is important for policy formulations. First, individual African country must discover the level of financial development necessary for spurring poverty reduction. Second, policymakers, especially in lower-income countries, must keep improving their financial sector development to achieve the threshold level necessary for achieving poverty reduction even though financial development might seem less relevant at its present level.

The policymakers in Africa should note that there exists a threshold level of financial development that reduces poverty. Hence, the present level of financial development might have not yielded a considerate effect on poverty. Still, the policymakers must keep pushing on until the threshold is achieved.

Financial development reduces poverty level but it must reach a certain threshold level before it does so. So, we advise African policymakers to continue to develop their financial sector to achieve this threshold.

This seems to be the first work to document the threshold relationship using the dynamic panel threshold. Besides, the study specifically concentrates on Africa dividing the continent into different income levels. Moreover, we adopt a robust measure of financial development unlike extant studies on Africa.

To present a measurement framework to capture the importance of the use of knowledge within the new product development (NPD) process.

A literature review enabled 200 product development measures to be compiled. These were categorised into six dimensions: stakeholder contribution, operating context, reuse, invention, exploitation, and NPD performance. Four companies applied selected measures and assessed the cube for its ability to improve measurement and management of their NPD process. This process refined the approach. A web‐based questionnaire (with 130 responses) assessed how a wider population perceived their performance and capability to measure performance in each of the six dimensions.

Respondents consider themselves capable of delivering good products and services, but are less confident in their ability to manage and measure knowledge reuse, invention and exploitation activities.

Full implementation of the measurement cube was not possible. Further research should assess the comprehensiveness, applicability and usefulness of the approach in more detail.

Introduction of the measurement cube and measures in the six dimensions identified would enable companies to go beyond traditional financial measures for their NPD processes and move towards a more performance‐oriented culture.

This paper synthesises the results from many other isolated studies on NPD metrics. In addition, it focuses on the measurement of the NPD process from a knowledge perspective, providing an integrating framework (the measurement cube), which is unique.

The key to successful project management is knowing how well the process is performing to prevent problems rather than fix them after they occur. Success measurement in product development has emphasized end‐result measures of overall project performance or economic value. The product development literature has largely ignored process performance (i.e., the measurement of how effectively the product development process is actually working). Process performance may be an early warning signal of downstream problems in a project's quality, time, or productivity. This paper proposes a model of process performance at the project level during product and process engineering. The model suggests that process performance mediates the influence of concurrent engineering (process choice) on overall project development performance. This process performance model is tested in the automobile industry using a sample of 406 product development projects in Germany and the USA. The theoretical and practical implications of the findings are discussed.

The purpose of this paper is to evaluate the measures practiced by public sector organizations (PSOs) to develop their capability and strength toward attaining the skills requirements for public-private partnership (PPP) program.

The study adopted a quantitative approach based on primary data obtained via questionnaire survey. The literature review provided the basis for identification of variables that were evaluated through structured questionnaire survey. The respondents were professionals in PSOs that have procured PPP projects in Southwestern Nigeria. These were sampled through the drawing of referral chain, involving respondents-driven sampling technique. The data collected were analyses using descriptive and inferential statistics.

The capability development measures of PSOs in PPP projects delivery clustered around five components: conventional practices, training and development, organizational practices, human capital enhancement and government-aided intervention. These five components of capability development measures are expected to be focused with adequate and equal interest and embraced by PSOs in countries with evolving PPP markets.

The study provides implications for domestic human capital strengthening for enhanced infrastructure delivery in countries with evolving PPP markets.

This study contributes to the existing literature on capabilities improvement on PPP projects. This was achieved by providing empirical evidences with respect to human resource boost for enhanced performance of public sector organizations in their partnership with their private sector counterparts for PPP project success.

This paper provides a deeper examination of the fundamentals of commonly‐used techniques – such as coefficient alpha and factor analysis – in order to more strongly link the techniques used by marketing and social researchers to their underlying psychometric and statistical rationale.

A wide‐ranging review and synthesis of psychometric and other measurement literature both within and outside the marketing field is used to illuminate and reconsider a number of misconceptions which seem to have evolved in marketing research.

The research finds that marketing scholars have generally concentrated on reporting what are essentially arbitrary figures such as coefficient alpha, without fully understanding what these figures imply. It is argued that, if the link between theory and technique is not clearly understood, use of psychometric measure development tools actually runs the risk of detracting from the validity of the measures rather than enhancing it.

The focus on one stage of a particular form of measure development could be seen as rather specialised. The paper also runs the risk of increasing the amount of dogma surrounding measurement, which runs contrary to the spirit of this paper.

This paper shows that researchers may need to spend more time interpreting measurement results. Rather than simply referring to precedence, one needs to understand the link between measurement theory and actual technique.

This paper presents psychometric measurement and item analysis theory in easily understandable format, and offers an important set of conceptual tools for researchers in many fields.

This paper aims to study the problem of designing a Performance Measurement System (PMS) for R&D. In particular, it aims at investigating the influence exerted by the type of activity being measured (i.e. Basic and Applied Research or New Product Development) on the design of the PMS constitutive elements.

First, a literature review made it possible to build a theoretical model that identifies the constitutive elements of the PMS for R&D. Second, a survey involving 129 Italian firms (with a response rate of 33 per cent) was performed to unearth a number of similarities and differences between PMSs used in Research and New Product Development settings. Finally, a follow‐up multiple case study investigation made it possible to understand the reason underlying the dissimilarities which emerged from the survey.

The analysis suggests that a specialisation of the performance measurement practices in research and development is pursued by the Italian firms in the sample, especially when a number of conditions are in place (e.g. high level of uncertainty in R&D, availability of resources, organisational separation between the research and development functions).

The empirical analyses reported here focus on R&D‐intensive firms, because they invest more heavily in R&D and hence are more interested in measuring its performance. The generalisability of these results to other empirical settings is discussed and represents a promising avenue for future research.

The paper provides R&D managers with a number of criteria they should employ to design more effective PMSs for the R&D activities for which they are responsible. Moreover, it suggests that designing and using two different PMSs for research and new product development can be a valuable alternative but only under specific circumstances.

The paper is one of the first contributions that empirically assess the differences in the approaches employed to measure performance of research and new product development activities.

To examine the effects of telecommunications on national development, broadly measured in the areas of economic, social, and political change, and cultural development.

The results of a structural equation model are reported, designed to examine the bi‐directional relationship between telecommunications infrastructure and national development for countries worldwide. The economic, social, and political development, and cultural changes that result from telecommunications infrastructure are investigated.

Telecommunications infrastructure effects extend beyond economic impacts to include social, political, and cultural change.

Criteria used to measure development and change, particularly those that examine the effects of telecommunications on culture, are inadequate and do not adequately measure the effects of telecommunications on national development.

Alternative methods of assessment or measure are needed to examine more critically the effects of telecommunications within the context of national development.

This paper argues for the necessity of deeper investigation into the influence of technology on society, particularly in the area of cultural change.

To explore the usefulness of the cybernetic approach to support development programs by offering a theoretical framework that helps us to re‐understand development and measuring systems.

The paper presents a summary of Beer's theory for organisational development and measuring systems, shows examples of application in design and implementation of socio‐economic development programs in Colombia, and uses them to explore the usefulness of the approach in this field.

Analysis of the reported examples shows a clear indication of the usefulness of Beer's approach to design and measure development programs. It reveals an important field for applied research that could benefit from further applications of the approach.

The experiences analysed here showed the strength or alliances between government, universities and development agencies, for applied research. It makes clear that more long‐term oriented projects are required to fully implement innovative approaches like the one described.

Applying a cybernetic approach in this field implies changing from top‐down to bottom‐up design; wider involvement of stakeholders to agree on critical measurements; changes from emphasis in technological and managerial improvements, to improvements in learning and self‐control tools for the developing communities.

Even if there has been agreement on the convenience of experimenting with more holistic approaches to socio‐economic development, few researchers show the potential of the cybernetic approach, as this paper does.

The purpose of this paper is to develop a leadership skills development model and measure, based on its effect on organizational effectiveness and moderator effect of knowledge sharing.

Using the survey method, this paper investigates the validation of measures and model of the study. It tests the reliability and constructs validity of a leadership skills development measurement scale, created on the basis of the existing measures of leadership, organizational effectiveness and knowledge sharing. This scale is harmonized with transformational, transactional and servant leadership theories.

A structural model and measure of leadership skills development is proposed.

This study is limited by its particular population; therefore, future research need to be done to illustrate whether the current results can be generalized with other samples from different situations and cultures.

The paper provides an in depth review of leadership development, as well as developing a theory-based model and a valid and reliable questionnaire, which measures leadership skills development, effectiveness and knowledge sharing. The study results could improve the future empirical leadership development research.