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The aim of this chapter is to describe a four-type model of organisational structures and to discuss two cases, Embrapa and the Brazilian Agricultural Research Corporation, as well as additional cases at SAM-Research and the centre for shared medical support services established at the University of Bologna.

These cases should help readers understand the importance of designing distinctive, tailored-made support services while keeping these structures flexible for further adaptation under unforeseen changes.

The chapter concludes by stressing the role of institutions to steadily invest in the design of these tailored support structures and in personalised training for their support staff.

Purpose – This research aims to know the condition of small and medium enterprises, after guidance by the Department of Industry Trade and Cooperatives of Ponorogo. This is done as an attempt to increase the efficiency and effectiveness of the coaching that has been done.

Findings – From the research, it is known that there are three types of trainings starting from 2010 up to 2013. However, these data are not supported by its business as well as the company name. Samples of 50 participants varying in duration and the type of training were assessed. About 52% (26 SME) participants had a business, 24% did not, and the remaining 24% could not be located. While owning a business, they do not have the financial data in writing. This indicates that SMEs do not have the basic financial statements, which can be used to evaluate its financial management.

Research Limitations/Implications – Of the 26 who already have a business, 10 were in the traditional food industry (chicken satay, Dodol, ground coffee, and sugar), whereas 7 were in industrial baking and pastry and 9 in craft Industry consisting of batik, reog, and leather crafts. this research limitation hasn't mapped the existing SMEs in Ponorogo district who have not attend the training and who have attended the training.

Practical Implications – This results of this study have practical implications in Capitalized readily in abundance; jelly-making training organized by Department of Industry, Trade and Cooperatives resulted in the increase in value-added products. This success is supported by the awareness of the leader villages. However, the development effort still needs assistance for the need for promotion as well as the establishment of a marketing network. Besides strengthening the supply system, also needed is the maintenance of the existence of this business, which means that is expected to increase the economy.

Originality/Value – This is the first research that identifies the sari cincau ngrayun industry in Ponorogo city.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

This research subscribes to the on-going process school of construction project briefing. Stakeholders underrepresented in the literature are engaged with by focussing on Formula 1 motor racing circuits. Attention is given to the rationales through which stakeholders define construction projects at such venues. The aim of this paper is to understand the realities experienced by stakeholders and how these resonate with the rhetoric of briefing literatures.

A single case-based research approach, encouraged for studying informality and emergence, was used to study a heritage oriented construction project at Silverstone Formula 1 Circuit, UK. Data included field-notes, interviews and strategy documents. Stakeholder interests cannot be directly accessed; however, language used when defining projects can be. Analysis focussed on how project rationales drawn directly from data could be grouped into interpretative repertoires. These repertoires are linguistic resources, drawn upon by stakeholders, formed partly from sets of rationales oriented around a common interest.

The priorities given to competing rationales are found to fluctuate through time and depending on audience. Project advocates mobilise these conflicting rationales, from different repertoires, to different audiences simultaneously when strategically defining the heritage project. Discursive definitions emerged during analysis through studying both formal and informal briefing practices.

Conflict among stakeholders with competing agendas during briefing is widely recognised however references to discursivity are currently scant.

Coping with discursivity during briefing poses significant challenges for construction professionals.

By interpreting strategic briefing as an on-going and discursive process of project definition, researchers and practitioners can better empathise with realities experienced by stakeholders.

Building Information Modeling (BIM) is a revolutionary innovation in the construction industry to virtually design and mange projects throughout the building lifecycle. Although Estonia is one of the foremost countries in the Information and Communications Technology (ICT) sector, BIM adoption in the Estonian construction industry is still lagging behind other countries. This paper is part of doctoral research that aims to determine the barriers to BIM adoption and develop a framework for effective implementation of BIM in the Estonian construction industry. The purpose of this paper is to examine the status of BIM adoption, BIM benefits and common barriers to BIM adoption in the construction industry worldwide.

The methodology used in this study is a literature review of journal articles, conference proceedings and published reports from various sources.

This study showed BIM benefits through building lifecycle phases and explored the BIM adoption rate in the construction industry of various countries. Eighteen barriers to BIM adoption were also identified.

The study presented is limited to a literature review – some related literature may have been missed.

The main practical significance of this study is that the findings can be used to inform a further survey to model the barriers to BIM adoption in the Estonian construction industry.

This study offers information on BIM adoption in the construction industry and will form the basis of further research.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

This chapter outlines the circumstances that led to the evolution of the profession of research management and administration in Japan. The state of research administration in Japan can be characterised by a combination of a top-down approach guided by the government and a bottom-up approach taken by the practitioners named University Research Administrator (URA), which have effectively been working in alignment since 2009. Currently, the RMAN-J (Research Manager and Administrator Network Japan), a national association of URA practitioners and stakeholders, actively promotes networking not only among the practitioners but also with important stakeholders including industries. As a recent achievement, a new skills certification program is being completed based on RMAN-J’s activities over the past 13 years.

This chapter insists that local cocreation projects need not only good intentions and the hard work of volunteers but also require funding and financing of the design and implementation of new solutions. It draws a conceptual distinction between funding and financing and explains who may help to provide funding and financing and why they may do so. As a part of this discussion, attention is drawn to the importance of writing good and persuasive funding applications and drawing up a strong and convincing business case to secure financing of new solutions. The new and emerging strategy for mobilizing private capital to help finance SDG projects is explained and illustrated, before closing the chapter with a discussion of the need to develop a proper system for fiscal accounting and auditing, which can prevent mismanagement and misconduct that eventually undermine popular support for local SDG projects.

This chapter focuses on governance as a key element of the safeguarding system of the family enterprise. The management is in charge of the company’s performance in terms of profit and growth. The governance system is designed to secure value protection by designing a robust leadership system, monitoring and advising management, reviewing critical decisions, and providing fail-safe solutions in case of serious malfunctions of the management system. This chapter develops a typology of critical elements which could endanger the development of the company, including conflicts and disruptions among the owner group. Results of recent research on the root causes of the downfall of family enterprises are presented. Finally, a concept of a three-layer protection system is developed with the aim of providing stability for longevity.