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The process of innovation in developing countries is different from that of developed countries, with mature technologies often being adopted with limited success. Universities are increasingly being viewed by policymakers as engines of innovation through the technology transfer office (TTO). However, with the adoption of various new intellectual property right legislation, university TTOs in developing countries have had an inefficient approach to technology transfer. Framed in the above premises, this study aims to develop a Maturity Model to measure, through non-monetary indicators, the efficiency of TTOs.

The Maturity Model is inspired by the Berkley (PM)2 Model which allows an organization to determine strengths and weaknesses and to focus on weak practices to achieve higher maturity. Fuzzy analytical hierarchy process is adopted to determine the priorities and weights of the non-monetary indicators because they are ambiguous.

The Maturity Model to measure the efficiency of TTO cover the following efficiency areas: intellectual property strategy and policy; organization design and structure; human resource; technology; industry links; and networking. The model provides a theoretical continuum along which the process of maturity can be developed incrementally in TTO from one level to the next, moving from awareness, defined, managed, integrated and sustained stage.

The Maturity Model needs to be tested and applied in TTOs in developing countries.

The Maturity Model provides a means to sustain the decision-making process more effectively, especially in those countries considered as an inefficient innovator.

The findings inform the design of a customizable solution to barriers to the success of technology transfer and highlight weaknesses within each institution or TTOs efficiency.

This paper has two purposes. The first is to provide a critical evaluation of current methods of measuring monetary versus non-monetary pro-poor growth. The second is to propose an alternative method based on the fuzzy logic aggregation approach, which allows including both monetary and non-monetary indicators simultaneously for measuring the “global pro-poor growth”.

The methodology that we propose is based on the fuzzy logic approach to aggregate both monetary and non-monetary indicators simultaneously and thus to calculate the “Global Welfare Index”. This index will be considered as the main global wellbeing indicator based on which a “Global Growth Incidence Curve” is constructed to analyze the pro-poor growth. 10; Also, an application of the main previous procedures for measuring monetary vs non-monetary pro-poor growth is presented to compare their results and to discuss their advantages and limitations.

Empirical validation using Tunisian data reveals that on one hand, results of the pro-poor growth analysis are very sensitive to the used measurement method and may lead to different conclusions. On the other hand, our alternative procedure may provide a more appropriate analysis of pro-poor growth given that it takes into consideration the multidimensional aspect of poverty while remaining faithful to the fundamental principle of pro-poor growth measurement.

The proposed method for constructing the “Global Growth Incidence Curve” is original given that it presents a new procedure to take into account both monetary and non-monetary indicators simultaneously, which allows having a more global view of the phenomenon. Also, the comparative study of the different proposed methods in the literature of measuring pro-poor growth is useful to identify their limitations and advantages.

The study assessed welfare of migrant and non-migrant labourers on cocoa farms in Ghana, using multidimensional poverty index (MPI) with four dimensions (education, health, dietary diversity, living standards) and 21 indicators. Specifically, we examined and compared non-monetary welfare of migrant and non-migrant labourers on cocoa farms in Ghana by adopting MPI approach. Also, we explored the factors affecting labourers' welfare.

A sample of 400 labourers was used. Qualitative and quantitative data were used. Quantile regression was used to investigate factors affecting labourers' deprivation in the different domains of non-monetary welfare.

Labourers on cocoa farms are generally deprived in all the welfare indicators. Apart from having low education, labourers were underfed and lived under poor conditions. Though both migrants and non-migrants were multidimensionally poor, welfare of the later was higher than the former. Welfare of migrants and non-migrants on cocoa farms are influenced by similar factors: secondary occupation, income, credit accessibility, nature of contract and distance to social amenities.

For migrants, permanent status improves welfare. To improve labourers' welfare for enhanced productivity, cocoa farmers should provide permanent/long-term contracts for labourers and government should provide social amenities in cocoa-producing communities.

Most previous welfare studies focused on farmers, with little attention paid to welfare of labourers on cocoa farms. We examined and compared the factors that affect migrant and non-migrant labourers' welfare on cocoa farms in Ghana. Moreover, we adopted the MPI (non-monetary) approach to assess labourers' welfare, instead of the expenditure and income approaches prevalent in literature.

The purpose of this paper is to identify the antecedents of perceived customer value, such as the perceived quality and perceived sacrifices, and the effects on customer satisfaction and customer loyalty (CL) in the restaurant industry.

Based on an extensive literature review, a research model and questionnaire were designed. To assess the hypothesised relationships, data were collected in a field survey. Partial least squares regression (a variance-based regression analysis of SEM) was selected to analyse the relationships within the research model.

The findings of this study indicate that the perceived monetary sacrifice (PMS) and perceived service quality were found to be antecedents of perceived value (PV), whereas PMS was the major precursor of PV. Further, PV was found to have a substantial influence on customer satisfaction and CL.

The study provides a better understanding of the price–value–satisfaction–loyalty relationships in the restaurant context in a more holistic sense and recommendations to move this research stream forward.

This paper is a study on child poverty from two perspectives: child income poverty (derived from family income) and child deprivation (evaluated by non‐monetary indicators). On the one hand, empirical evidence supports the thesis that income‐based poverty measures and deprivation measures do not overlap. On the other hand, the relationship between poverty and the child's living conditions is not linear. Uses micro‐econometric techniques to analyse child income poverty and present deprivation indicators, and thereby an index of child deprivation, to study child poverty. The measurements used are centred on the child. The results obtained support the thesis that the study of child poverty differs whether the focus is on the child or on the family.

Balanced scorecards are having a major impact on executives’ strategic decision making by encouraging their use of future‐oriented, non‐monetary success indicators. This article explains how to create a balanced scorecard with a reasonable number of indicators, set appropriate benchmarks for them, and evaluate overall management performance against those benchmarks. In doing so, it relies heavily on a controlling tool that is new to the business sector: data envelopment analysis. After discussing the theoretical foundations of this nonparametric optimization procedure and defining several key terms, the article presents a practical example. The example assesses management's performance from several perspectives, paying particular attention to implications of the analytic results for a firm's strategic and operational controlling. The article also offers an overview of various models for data envelopment analysis, describes limits to its use, and concludes with a summary of key findings.

An approach to providing an inclusive model for business value analysis is presented, where “inclusive” means that broadly defined stakeholder values are added to conventional financial criteria. A value oriented model is an interesting extension of accounting and information provision, with information seen as the carrier of value. Modelling and evaluation can be thought of as an information process that is central to steering a business towards its goals and maximising its value. The analytical expression of the model deals rigorously with both financial and intangible values, serves as a test‐bed for strategic explorations, can cover environmental and ethical risk, and can optimise a business with respect to both financial and inclusive criteria. Gathering the information and operating a model of this kind is akin to providing a strategic information service that integrates all the information into a single strategic picture. The model is a valuable information resource.

The purpose of this paper is to evaluate the non-monetary effect of credit access by providing an econometric framework which controls the problem of selection bias.

The study is conducted in Assam, India and uses a quasi-experiment design to gather primary data. The ordered probit model is used to evaluate the non-monetary impact of credit access. The paper uses a propensity score approach to check the robustness of the ordered probit model.

The study confirms the positive association of credit access to life satisfaction of borrowers. It is found that, in general, rural borrower’s life satisfaction is influenced by the ability and capacity to work, the value of physical assets of the borrowers as well as some other lenders’ and borrowers’ specific factors. But, the direction of causality of the factors influencing borrowers’ life satisfaction is remarkably different across credit sources.

The study argues to provide productive investment opportunities to semiformal and informal borrowers while improving their life satisfaction score. Although the results are adjusted for selection and survivorship biases, it is impossible with the available data to assess which non-income factors explain the findings, and therefore this limitation is left to future research.

The study contributes to the literature of rural credit by assessing the probable differences among formal, semiformal and informal credit sources with respect to non-monetary impacts.

The economic crisis has more than ever revealed the necessity for companies to extend their focus from the maximization of shareholder returns to the management of their complex stakeholder relationships including societal stakeholders. Although companies and scholars alike have been searching for adequate performance measurement systems that allow them to evaluate their relations with society, practical approaches to measure the benefits of CSR are still missing. This paper aims at filling this research gap. It proposes a measurement and a governance model to evaluate and manage the business as well as the societal benefits of CSR.

The research follows a two‐step approach. First, a measurement model is developed based on a sound theoretical analysis. It is then applied in an in‐depth case study to test its applicability to business practice.

The research finds that current measurement approaches fail to provide a practicable measurement framework, especially relating to an evaluation of individual CSR activities. Thus, a framework is developed that applies methods of investment appraisal as well as qualitative evaluation approaches to individual CSR activities. The case study offers an easy‐to‐use evaluation tool that can be directly applied by business practice.

Current research mostly focuses on quantitatively or qualitatively evaluating CSR. However, a comprehensive measurement of CSR needs to combine both. This is the focus of this paper. In addition, most measurement models focus on the business case for CSR. In this research, this perspective is complemented by proposing an evaluation from both perspectives – business and society.

The purpose of this paper is to analyze the value of a strong decision-making information technology (IT) influence within organizations. Although research and managerial practice has repeatedly shown the importance of IT departments within firms and has commented on the influence of IT departments on business performance, prior research has still no evidence about the value of a strong decision-making IT influence yet.

To prove the influence of the IT department within the company, this study identifies and operationalizes a formative construct determined by four main specifics of the IT department: IT department size, IT department value assessment, IT experience of the top management and degree of digitization. A questionnaire was used to collect the data of 124 experts from companies that could be assigned mainly to the sectors manufacturing, trade as well as information and communication. The data were analyzed using exploratory and confirmatory factor analyses. Further, partial least squares structural equation model (PLS-SEM) was used to test the proposed model.

The results show that both investments in the size of the IT department as well as in top managers with IT experience, and a high degree of digitization in a company positively influence the role of the IT department. It also shows that a higher general appreciation of the IT department goes hand in hand with a higher influence of IT in the company. The measures are significant as companies, which do have an influential IT department, actually have higher monetary as well as non-monetary business performances.

The study is aimed equally at science and practice, as it provides information on the extent to which more importance should be attached to IT management in the future and what organizational adjustments need to be made.

Despite the ongoing discussions on the importance of IT management for business performance, no existing studies have delivered evidence that there is a significant direct link between the decision-making influence of IT and the extent of corporate performance. The present work therefore has two objectives. The theoretical goal is to clarify the impact of the IT department on business performance and to identify the factors that make up an influential IT department. The practical objective of the research is to provide recommendations on how firms could establish or expand the IT department.