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This paper aims to propose a method based on Linked Data and Semantic Web principles for composing microservices through data integration. Two frameworks that provide support for the proposed composition method are also described in this paper: Linkedator, which is responsible for connecting entities managed by microservices, and Alignator, which aligns semantic concepts defined by heterogeneous ontologies.

The proposed method is based on entity linking principles and uses individual matching techniques considering a formal notion of identity. This method imposes two major constraints that must be taken into account by its implementation: architectural constraints and resource design constraints.

Experiments were performed in a real-world scenario, using public government data. The obtained results show the effectiveness of the proposed method and that, it leverages the independence of development and composability of microservices. Thereby, the data provided by microservices that adopt heterogeneous ontologies can now be linked together.

This work only considers microservices designed as data providers. Microservices designed to execute functionalities in a given application domain are out of the scope of this work.

The proposed composition method exploits the potential data intersection observed in resource-oriented microservice descriptions, providing a navigable view of data provided by a set of interrelated microservices. Furthermore, this study explores the applicability of ontology alignments for composing microservices.

This paper describes a software architecture that automatically adds semantic capabilities to data services. The proposed architecture, called OntoGenesis, is able to semantically enrich data services, so that they can dynamically provide both semantic descriptions and data representations.

The enrichment approach is designed to intercept the requests from data services. Therefore, a domain ontology is constructed and evolved in accordance with the syntactic representations provided by such services in order to define the data concepts. In addition, a property matching mechanism is proposed to exploit the potential data intersection observed in data service representations and external data sources so as to enhance the domain ontology with new equivalences triples. Finally, the enrichment approach is capable of deriving on demand a semantic description and data representations that link to the domain ontology concepts.

Experiments were performed using real-world datasets, such as DBpedia, GeoNames as well as open government data. The obtained results show the applicability of the proposed architecture and that it can boost the development of semantic data services. Moreover, the matching approach achieved better performance when compared with other existing approaches found in the literature.

This work only considers services designed as data providers, i.e., services that provide an interface for accessing data sources. In addition, our approach assumes that both data services and external sources – used to enhance the domain ontology – have some potential of data intersection. Such assumption only requires that services and external sources share particular property values.

Unlike most of the approaches found in the literature, the architecture proposed in this paper is meant to semantically enrich data services in such way that human intervention is minimal. Furthermore, an automata-based index is also presented as a novel method that significantly improves the performance of the property matching mechanism.

Entrepreneurship education has had a remarkable evolution over time and the number of entrepreneurship textbooks has multiplied given the increased interest in entrepreneurship programs in higher education. Yet, studies that review the coverage of textbooks focusing on entrepreneurship are scarce. This study provides an inventory of entrepreneurship textbooks and the topics they cover as well as specific emerging topics they do not cover by analyzing the content of 57 textbooks. Our results suggest that most textbooks provide significant coverage of such topics as the nature of entrepreneurship, business plans, financing, marketing, and cases. Among emerging concepts, social media has been relatively well covered with increasing coverage in more recent textbooks, while business canvas, as an example of alternatives to conventional business plans, is rarely covered. Most textbooks have provided little coverage of such topics as sales, family business, women and minorities, as well as ethics and sustainability. This study not only reveals areas that are covered by existing textbooks but also themes that future textbooks and research could cover to address the challenges of future entrepreneurship education.

Manufacturers have experienced many stages of evolution and paradigm shift. The paradigm shifts from crafts to mass production, then to lean production, and finally to agile manufacturing (AM). Agility will reduce the time to market for appropriate products and services. Twenty-first century companies must meet a demanding customer base that will increasingly seek high quality, low-cost products adapted to their specific and continually evolving needs. It is time for companies to compete, and “push the boundaries” in response to delivery, product quality, and overall excellence in customer service and satisfaction. For addressing these challenges, a new way to manage businesses was proposed called “Agility,” AM is defined as the ability to survive in a competitive environment characterized by the continual and unpredictable changes, by responding effectively to the changing markets with products and services designed by the customer. This chapter presents a review of research related to the agility concept through an analysis of the variously proposed studies. This analysis was conducted based on a meta-model of three words (Agility, Management, and Organization).

The purpose of this study is to characterize output and impact evaluation initiatives from the perspective of entrepreneurs and investors of social enterprises (SE) by highlighting their relevance, implementation processes and consequences.

This study adopted a qualitative approach through a multiple case study. This study also analyzed ten SE in five areas and three investors, using semi-structured interviews, codification and content analysis.

Evaluation is still at an initial stage in these businesses, and there is a gap between what the field-specific literature proposes and what firms do. Although entrepreneurs feel that evaluation is essential to demonstrate their value and confirm their purpose and impact, it is not a priority.

Due to the small number of Brazilian enterprises and investors, it is impossible to generalize the results.

The results are relevant to rethink strategies, processes and methodological tools that seek to portray, more realistically and reliably, the evaluation dimensions in SE.

This study highlights the risk regarding the legitimacy of social impact ventures since, without the due causal inferences, it is not easy to prove the impact they claim to achieve. This situation conducts to the weakening of the ecosystem leading to the emptying of the term impact.

The main research contributions address the methodologies, practices and evaluation routines of some Brazilian SE and their investors, presenting the characteristics, perceptions and limitations of the studied ventures.

Social entrepreneurship is gaining increased attention from academia and practitioners worldwide. Owing to its financing challenges, academic pedagogies are seeking methods to strengthen the social financing dimension of this emerging discipline. This paper bridges the gap in social entrepreneurship education by portraying diverse perspectives on this topic from multiple actors in two cross-cultural contexts.

A qualitative case analysis was conducted to explore financing aspects of social entrepreneurship in France and the United States. The authors interviewed academicians and practitioners to learn about their current experiments and thoughts on integrating finance into the curriculum for social entrepreneurship.

The authors found multiple facets of the social entrepreneurship finance construct, focused not only on specific financial skills but also on a general approach to venture designs. Multidisciplinary knowledge is sought not just on the topic of finance but also in other disciplines that can broaden its scope of financing to a larger investor domain. While in France, this came out as a need for integrating the financial communication skills to personify the social value creation process; in the US, it was pointed out as the need for having a contractual knowledge to differentiate investment opportunities and comprehend their risks levels.

By bringing perspectives from multiple actors who have had experience in social entrepreneurship financing in regions with the fastest development, this paper is seminal in bridging the financing skill gaps that exist in social entrepreneurship discipline. The main theoretical contribution of this article concerns the skills, financial and otherwise that are useful in social finance.

Research on buyer‐seller relationships in the agricultural sector receives little attention. A growing body of evidence suggests that strengthening buyer‐seller relationships fosters more efficient supply chains. Much of the long‐term relationship literature tends to treat suppliers as a homogeneous group when identifying motivations, strategies and incentives to enhance the quality of buyer‐seller relationships. This article aims to explore the role of long‐term relationships between buyers and sellers in Malaysia's dairy industry, taking into consideration the heterogeneous nature of producers.

The study examines variation in relationship quality (trust, satisfaction, and commitment), loyalty and price satisfaction dimensions, using data from a survey of 133 dairy producers.

Cluster analysis suggests two well‐defined groups differing in terms of demographic characteristics and relationship perceptions about their buyers.

The study results highlight ways milk buyers can develop and promote more appropriate and efficient marketing strategies with milk producers.

This study provides evidence of producer relationship segmentation in an agricultural industry of an emerging economy.