Sharing science, building bridges, and enhancing impact: Public-Private Partnerships in the CGIAR

"This study, which examines the role of public–private partnerships in international agricultural research, is intended to provide policymakers, research managers, and business decisionmakers with an understanding of how such partnerships operate and how they potentially contribute to food security and poverty reduction in developing countries. The study examines public–private partnerships in light of persistent market failure, institutional constraints, and systemic weaknesses, which impede the exchange of potentially pro-poor knowledge and technology. The study focuses on three key issues: whether public–private partnerships contribute to reducing the cost of research, whether they add value to research by facilitating innovation, and whether they enhance the impact of research on smallholders and other marginalized groups in developing-country agriculture. The study examines 75 projects undertaken by the research centers and programs of the Consultative Group on International Agricultural Research (CGIAR) in partnership with various types of private firms. Data and information were obtained through document analysis, semi-structured interviews with key informants, and an email survey of CGIAR centers. The resulting analysis provides a characterization of public–private partnerships in the CGIAR and describes the factors that contribute to their success. These finding are important to improving both public policy and organizational practices in the international agricultural research system." - from authors' abstract.Agricultural R&D, CGIAR, Innovation, Public-private partnerships,

Formalization of the informal venture capital market - Business angel networks and syndicates

Business angels are natural persons who provide equity financing for young enterprises and gain ownership in them. They are usually anonym investors and they operate in the background of the companies. Their important feature is that over the funding of the enterprises based on their business experiences they can contribute to the success of the companies with their special expertise and with strategic support. As a result of the asymmetric information between the angels and the companies their matching is difficult (Becsky-Nagy – Fazekas 2015), and the fact, that angel investors prefer anonymity makes it harder for entrepreneurs to obtain informal venture capital. The primary aim of the different type of business angel organizations and networks is to alleviate this matching process with intermediation between the two parties. The role of these organizations is increasing in the informal venture capital market compared to the individually operating angels. The recognition of their economic importance led many governments to support them. There were also public initiations that aimed the establishment of these intermediary organizations that led to the institutionalization of business angels. This study via the characterization of business angels focuses on the progress of these informational intermediaries and their ways of development with regards to the international trends and the current situation of Hungarian business angels and angel networks

Benchmarking research performance at the University. Level with information theoretic measures

This paper presents a new method for comparing universities based on information theoretic measures. The research output of each academic institution is represented statistically by an impact-factor histogram. To this aim, for each academic institution we compute the probability of occurrence of a publication with impact factor in different intervals. Assuming the probabilities associated with a pair of academic institutions our objective is to measure the Information Gain between them. To do so, we develop an axiomatic characterization of relative information for predicting institution-institution dissimilarity. We use the Spanish university system as our scenario to test the proposed methodology for benchmarking three universities with the rest as a case study. For each case we use different scientific fields such as Information and Communication Technologies, Medicine & Pharmacy, and Economics & Business as we believe comparisons must take into account their disciplinary context. Finally we validate the Information Gain values obtained for each case with previous studies

Firm’s Competitiveness through Supply Chain Responsiveness and Supply Chain Management Practices in Nigeria

Supply Chain Management (SCM) is management of material, money, men, and information within and across the supply chain to maximize customer satisfaction and to enhance competitive advantage. However, the characterization of the current business practices by variation in demands and differences in customer requirements has motivated many firms to be responsive. In the light of this, the paper examines how these firms respond to these changes so as sustain and further create competitive advantages. One hundred and fifteen (115) manufacturing companies, basically medium/large companies formed the sample of the study and data was analyzed using multiple regression analysis. The result revealed positive association between Supply Chain Responsiveness (SCR), SCM practices and Competitive Advantage. Finally, the study provides suitable recommendation on the scope for improvement based on current levels of various predominant SCM practices and SCR criteria that directly impact competitive advantage of a firm, so as to make the organizations more competitive. Key words: Supply Chain Practices, Responsiveness, Competitive Advantage, Information Sharing.

Energy Information Systems: From the Basement to the Boardroom

A significant buildings energy reduction opportunity exists in the office sector, given that this market segment typically is an early adopter of new technology. There is a rising trend towards smart and connected offices through the internet of things (IoT) that provides new opportunities for operational efficiency and environmental sustainability practices. Leading commercial real estate companies have begun to shift from individual building automation systems (BAS) to partially integrated and automated systems such as energy information systems (EIS). In both the United States and India, organizations are seeking operational excellence, enhanced tenant relationships, and topline growth. Hence it is imperative to engage the executives with decision-making power, by tapping into their interest in sustainability, corporate social responsibility, and innovation. This expansion of interest can enable data-driven decisions, strong energy investments, and deeper energy benefits, and would drive innovation in this field. However, none of this would be possible without robust, consistent building energy information to provide visibility across all the levels of decision making, i.e. from the basement where the facilities staff take operational action to the boardroom where the executives make investment decisions. Price, security, and ease of use remain barriers to the adoption and pervasive use of promising EIS technologies in commercial office buildings. We believe that these barriers can be addressed through the development of ready, simplified, consistent, commercially available, low-cost EIS-in-a-box packages, that have a pre-defined set of hardware components and software features and functionality that are pertinent to a particular building sector. These simplified, sector-specific EIS packages can help to obviate the need for customization, and enhance ease of use, thereby enabling scale-up, in order to facilitate building energy savings. The EIS-in-a-box are adaptable in both U.S. and Indian office buildings, and potentially beyond these two countries

Generalized Exponentiated Moment Exponential Distribution

Moment distributions have a vital role in mathematics and statistics, in particular in probability theory, in the perspective research related to ecology, reliability, biomedical field, econometrics, survey sampling and in life-testing. Hasnain (2013) developed an exponentiated moment exponential (EME) distribution and discussed some of its important properties. In the present work, we propose a generalization of EME distribution which we call it generalized EME (GEME) distribution and develop various properties of the distribution. We also present characterizations of the distribution in terms of conditional expectation as well as based on hazard function of the GEME random variable