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With the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large number, fast growth, complexity and unreliable quality, which greatly increases the complexity of recommendation. The contradiction between the efficiency and effectiveness of recommendation service in social tagging is increasingly becoming prominent. The purpose of this study is to incorporate topic optimization into collaborative filtering to enhance both the effectiveness and the efficiency of personalized recommendations for social tagging.

Combining the idea of optimization before service, this paper presents an approach that incorporates topic optimization into collaborative recommendations for social tagging. In the proposed approach, the recommendation process is divided into two phases of offline topic optimization and online recommendation service to achieve high-quality and efficient personalized recommendation services. In the offline phase, the tags' topic model is constructed and then used to optimize the latent preference of users and the latent affiliation of resources on topics.

Experimental evaluation shows that the proposed approach improves both precision and recall of recommendations, as well as enhances the efficiency of online recommendations compared with the three baseline approaches. The proposed topic optimization–incorporated collaborative recommendation approach can achieve the improvement of both effectiveness and efficiency for the recommendation in social tagging.

With the support of the proposed approach, personalized recommendation in social tagging with high quality and efficiency can be achieved.

This study investigates the extent to which structural equivalence between acquiring and target firms is associated with post-merger and acquisition (M&A) performance—a relationship that is proposed to be moderated by industry-level vertical relatedness between acquiring and target firms.

Applying social network analysis and regression, this study analyzes a buyer–supplier relationship network dataset of 279 M&A deals completed between 2010 and 2017 to test the hypotheses. Structural equivalence is measured as the proportion of common customers and suppliers between an acquiring firm and a target firm.

Supporting a view about the importance of supply chains in explaining M&As outcomes, the results suggest that the structural equivalence in the supplier network is positively associated with post-M&A firm performance. The results also show that the effect of the structural equivalence in the customer network is moderated by vertical relatedness between two merging firms (i.e. structural equivalence contributes to post-M&A performance when vertical industry relatedness is high).

This study contributes to the M&A and supply network literature by investigating the performance implications of structural equivalence in supplier and customer networks, demonstrating the importance of taking a supply chain view when explaining M&As outcomes. Specifically, the authors suggest considering structural equivalence as a new type of relatedness between merging firms (i.e. relatedness in network resources in explaining post-M&A performance). It also indicates how industry-level vertical resource relatedness, which is about relatedness in internal resources between the two firms, could interact with firm-level network resource relatedness, which is about relatedness in external supply chain resources between the two firms, in affecting post-M&A performance.

This study aims to analyse the way the internal resources and their attributes contribute to the competitive advantages in an intensive organisation in knowledge of the pharmaceutical industry in an emerging market.

This is a qualitative case study focused where the NVivo software was used for information analysis and thematic analysis.

The outcomes showed that from the VRIO framework (value, rarity, imitability and organisation), the plant and equipment and the technical knowledge of its workers are the resources that, due to their attributes, especially the rare, those that grant an advantage competitive position compared to other companies in its sector. Those findings highlight that the resource-based view (RBV) is a good approximation to explain the construction of competitive advantage (CA) and, in addition, the relevance of rare attribute in pharmaceutical companies was confirmed.

The study points out empirical evidence on the relevancy of RBV, from the VRIO framework and the competitive profile matrix (CPM) for the analysis of the management of organisations from the emerging market (economy) perspective. The study also provides competitive advantage analysis tools with which managers can identify strategic resources for their companies.

The VRIO framework and CPM were integrated in the study to analyse the role of internal resources and their attributes in achieving CAs. This integration is the first time that it has been carried out in companies in the context of an emerging market.

Semantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle, lacking the luxury of centralized database administration, database schemes, shared attributes, vocabulary, structure and semantics. The existing dataset catalogs provide basic search functionality relying on keyword search in brief, incomplete or misleading textual metadata attached to the datasets. The search results are thus often insufficient. However, there exist many ways of improving the dataset discovery by employing content-based retrieval, machine learning tools, third-party (external) knowledge bases, countless feature extraction methods and description models and so forth.

In this paper, the authors propose a modular framework for rapid experimentation with methods for similarity-based dataset discovery. The framework consists of an extensible catalog of components prepared to form custom pipelines for dataset representation and discovery.

The study proposes several proof-of-concept pipelines including experimental evaluation, which showcase the usage of the framework.

To the best of authors’ knowledge, there is no similar formal framework for experimentation with various similarity methods in the context of dataset discovery. The framework has the ambition to establish a platform for reproducible and comparable research in the area of dataset discovery. The prototype implementation of the framework is available on GitHub.

This study aims to explore how a start-up entering maritime logistics networks (MLNs) in the container shipping industry integrates resources underlying value cocreation patterns in these networks.

The paper is based on a single case study of a technological start-up, providing tracking, tracing and other information services to MLN members using internet-based software. An interorganizational theory perspective informs the case study to unveil the resource integration for value cocreation in the network.

The start-up holds multiple resource interaction roles and the start-up’s involvement enables the creation of new knowledge resources, which facilitate new revenue streams and manage resource dependencies. Hence, the findings indicate that the start-up changes value cocreation patterns in the network by reconfiguring and integrating existing resources so that the service is customized for various customers, including shippers and freight forwarders.

The results provide insights about how technological start-ups can unlock resources within MLNs.

The study extends previous studies on resource roles in business networks and shows how start-ups can perform multiple roles simultaneously within these networks. In addition, the study contributes to the literature by studying information and knowledge as resources configured in different ways in a unique network setting.

The purpose of this study is to elaborate on the management, sources, levels of strength and dynamics of inherent tension in coopetition between small- and medium-sized firms (SMEs).

An embedded single-case design is applied in the study. Two manufacturing SMEs in coopetition are studied. The units of analysis are their past dyadic coopetition with other competitors, their present coopetition with each other and their view of possible dyadic coopetition with other partners in the future.

This study addresses the call for more research on coopetition and tension dynamics. It gives longitudinal insight into the changes of a coopetitive relationship through the evolution of tension inherently present in the relationship. Furthermore, the results show that a partial separation of the cooperative and competitive dimensions enables entrepreneurs’ integration of a contradictory logic. The successful management of tension also relies on mechanisms for mutual value appropriation, which eventually enhances the ability to embrace contradictions.

This study contributes to the limited knowledge on tension management by showing how partners in coopetition apply different tension management principles or combinations of principles due to how the tension in the relationship evolves. Furthermore, on a practical level, it introduces a mapping or configuration scheme to identify the sources and levels of strength of inherent tension, enhancing coopetition partners’ ability to monitor their relationship over time.

The purpose of this paper is to inquire into how conceptualising is done in the industrial network approach (INA).

The description and analysis of conceptualising is based on key INA references and an example illustrating the characteristics of conceptualising in individual studies.

The paper concludes that there is an open and interactive way of conceptualising in the INA. The empirical and theoretical grounding achieved through combining concepts in individual empirical studies interplays with conceptual development in the research community over time.

Three paradoxes are suggested for further discussion of conceptualising as a key element in theorising in the INA community.

By explicating how INA researchers engage in conceptualising both in individual empirical studies and as a community, the authors identify characteristics similar to the empirical phenomena in focus of the research: interaction, combining and heterogeneity of concepts.

The purpose of this paper is to discuss the different approaches to the corporate reputation construct, in order to identify a comprehensive definition that can be used for measurement purposes, gaps identified by previous literature identified.

This is a theoretical essay. The authors analyzed studies that involve the relationship between corporate reputation and organizational performance, and the attributes of national and international corporate reputation ratings.

The authors identified a more comprehensive definition for the reputation construct, and indicated courses for the construct’s measurement, by considering: the judgment by the stakeholders (internal, suppliers, clients and the financial market); periodical evaluations under different organizational perspectives; attention to theoretical assumptions, among other aspects.

The study is a theoretical paper that presents that the research field has many definitions that cannot be used interchangeably. It indicated how the reputation construct should be operationalized for measurement purposes. This study presented a reflection on the relationship between corporate reputation and performance, showing that it is not a settled topic in the academy.

The study advances the understanding of the reputation construct measurement, considering the adopted definition and the discussion of the attributes of the main ratings on corporate reputation. The adoption of a measurement method that takes into account the definition used in this study and the features of the methodologies discussed will improve the corporate reputation assessment.

Literature indicates that a good corporate reputation can affect organizational performance and the inverse relationship is also true. As a social implication, it is extremely relevant to improve the understanding the definition and measurement methods of this construct.

This study discusses one of the most important intangible resources for organizations, contributing to the understanding of the difference between the market value and the book value of public companies. Besides it should be considered that there is one lack of a definition directly related to the measurement of the reputation construct in the literature, a gap in which this study contributes.

The purpose of this paper is to investigate the key drivers of coopetition by adopting a managerial and economic framework. A case of coopetition failure is investigated by means of a historical example focused on the Egyptian adventure of the Italian banks in the first decades of the XX century.

The authors adopt a qualitative case study and a flexible pattern matching approach to develop theoretical ideas. Because the flexible pattern matching approach was adopted, the authors build the analysis on a tentative analytical framework specified a priori to provide guidance and focus. This approach allows a theory-driven research paradigm. The historical case study is mainly grounded on original sources drawn from some major banking and institutional archives.

While several scholars emphasised the relevance of external drivers, the literature has paid less attention to how relational and internal drivers combine. The historical case suggests that key mechanisms supporting the success of coopetition concern planning of common goals, conflicts management, alignment and formalisation of governance. In this vein, internal and relational dimensions seem to be more relevant than environment-context dimension. In addition, the historical example shows that an intra- and inter-firm alignment is required to pursue the implementation of a coopetitive strategy. This suggests the relevance of a holistic approach to investigate coopetition. Further evidence confirms the role of governance mechanisms for the success of coopetition.

The main contribution of this study is the re-consideration of the drivers of coopetition. In particular, the role of coopetition drivers has been investigated using a historical event: the Italian multinational banking in Egypt in the interwar years.

The purpose of this study is to analyse the crisis network response of European countries and the role played by defence organizations (DOs) during the early response phase of the pandemic, here set to encompass 75 days.

Published materials – reports, news and communications – provided by authorities and DOs were used. Some of the authors actively participated in national pandemic response networks. An exploratory approach and qualitative content analysis were applied. The data were collected in national languages from 13 European countries, and they were coded and analysed using the actors, resources and activities (ARA) framework.

This study identified three main categories of activity structures in which the DOs interacted with civilian members of response networks, health-related services, logistics services and public support services. These networks among actors were found within formal response systems and emergent networks. The DOs engaged as actors that provided a range of services when civil authorities could not cope with the huge demand for specific services and when resources were scarce in the initial response phase.

This study contributes by filling an important research gap with regard to the civil-military relations associated with the use of DO resources in the civil response to the pandemic crisis in Europe, which is described as an untraditional response. The ARA network approach provides a framework for arranging ARA and extends the wider civil-military network to expand the formal networks of the early crisis response. The study lays knowledge about the co-operation between civilian and military actors in different contexts and provides a broader understanding of the roles that DOs played in the response operations.