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Stochastic models are seldom used when we analyze the stability and the efficiency of enterprise cost systems. Despite of numerous restrictions, along with the complexity of mathematic formalization, this approach would encourage more rational use of resources under conditions of extreme change in external and internal business environments. Different methods of Maximum Likelihood Estimations (MLE) have been introduced to weaken these parametric drawbacks.

However, the high computational complexity makes its use difficult. This work prevailingly demonstrates the use of coenosis theory to design and analyze cost systems of industrial enterprises, including the use of numerically reliable statistical computations.

This approach can also be observed as a delicate parametric adjustment of economic coenosis structures ensuring stability and sustainability. The chapter provides the example of the mentioned methodology within the frame of an ordinary industrial enterprise.

The mission of the Department of Forestry at the University of Florida, Gainesville “is to provide high quality programs that develop and disseminate knowledge, and result in better understanding and management of forests and related natural resources.” There are close to 40 researchers in the department, including affiliate and adjunct faculty. The current research and instructional programs of the Department reflect the tremendous technological and socio‐economic changes that impact all areas of agriculture/forestry and natural resource management. Major research interests of the faculty include: using genetic engineering to improve stress hardiness and disease resistance; developing a more comprehensive understanding of all the physiological aspects of the resource including effects of disease and human impact such as acid deposition, biometric analysis, general biology and ecology of forest resources with particular emphasis on southern pines; studying the economic and policy factors affecting the forest industry, and exploring the use of mathematical modelling techniques.

Information about the former and current status of many scientific journals is summarized.

Newly‐created journals (sometimes based on old ones), cessation of issues, journals incorporated into others, merged and split journals are mentioned. Information about a large number of scientific publishers (publishing houses, scientific institutions and organizations, educational institutions, societies, associations, federations, unions and companies) which make a significant contribution to printed and electronic output are noted. The web addresses of electronic libraries, information networks, search systems, databases and catalogs of natural‐scientific literature are collected.

It behoves scientists, who profess to disseminate scientific knowledge, to avail themselves of the myriad information sources on offer.

This is possibly the first attempt to embrace comprehensively and in minute detail the vast field of information on the sources of contemporary sciences and their representative bodies.

This paper aims to introduce a general framework for the analysis of knowledge integration and diffusion using bibliometric data.

The authors propose that in order to characterise knowledge integration and diffusion of a given issue (the source, for example articles on a topic or by an organisation, etc.), one has to choose a set of elements from the source (the intermediary set, for example references, keywords, etc.). This set can then be classified into categories (cats), thus making it possible to investigate its diversity. The set can also be characterised according to the coherence of a network associated to it.

This framework allows a methodology to be developed to assess knowledge integration and diffusion. Such methodologies can be useful for a number of science policy issues, including the assessment of interdisciplinarity in research and dynamics of research networks.

The main contribution of this article is to provide a simple and easy to use generalisation of an existing approach to study interdisciplinarity, bringing knowledge integration and knowledge diffusion together in one framework.

The purpose of this paper is to propose a multiple set of journal evaluation indicators using methods and theories from author analysis. Among those are the journal citation identity and the journal citation image.

The Journal of Documentation is celebrating its 60th anniversary, and for that reason it is portrayed in a bibliometric study using the two indicators, based, e.g. on analyses of references in journal articles and journal co‐citation analyses.

The Journal of Documentation, which is portrayed in this study is characterized by high impact and high visibility. It publishes a relatively low number of documents with scientific content compared to other journals in the same field. It reaches far into the scientific community and belongs to a field that is more and more visible. The journal is relatively closely bounded to Western Europe, which is an increasing tendency.

The research is based on analyses of just three LIS journals.

Journal citation identity and the journal citation image indicators contribute in giving a more detailed multifaceted picture of a single journal.

The multiple set of indicators give rise to a journal evaluation of a more qualitative nature.

A network of partners helps and assists a crowdfunding platform (CFP) in scouting, assessing and selecting projects. This cooperation increases the number of successful projects by attracting a sizable number of investors, proponents and attracting marginal investors when a campaign falls short of the threshold for success. This study examines the role of partner networks in a platform ecosystem, specifically in terms of number of different partners and their diversity in the performance of the crowdfunding campaign.

Using logistic and linear regressions, we analyze a sample of 233 projects, both funded and not funded, launched by 10 Italian equity CFPs between 2014 and 2018.

Our findings indicate that the variety of partners in a platform's network influence the probability of campaign success and how much capital the proponent company raises. CFPs are resource-constrained new ventures, and a network with a wider variety of partners ensures the strategic resources and competencies that are required in an early stage market, thus facilitating campaign funding.

The variety of partner networks could help CFPs to offer unique and strategic value propositions and define the competitive positioning of platforms.

This study provides a deeper understanding of the determinants of equity crowdfunding campaign performance by emphasizing the role of CFP's network of partners on the entire crowdfunding ecosystem and its underlying organizational elements.