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The purpose of this paper is to investigate whether young people’s peer networks can be an asset in finding employment during the transition from school to work. It examines whether peer networks size and peers’ self-efficacy regarding their own job search are associated with job seekers’ career-relevant behaviors and outcomes, i.e., the number of applications completed and the number of job offers received.

Associations between job seekers’ peer networks and their job search behaviors and outcomes were investigated during their final year of vocational training. Sociometric measures were used to assess young people’s peer network size. Sociometric and self-report measures were used to establish the characteristics of the peers that comprise each job seekers’ network, resulting in the overall self-efficacy across each job seekers’ network.

The results show that peers’ efficacy beliefs are positively associated with young people’s engagement in job search activities (i.e. a greater number of applications completed) and indirectly associated with their job search outcomes (i.e. a greater number of job offers, which are mediated by the number of applications) that are independent of the peer network size.

The results underline that although peers might not provide instrumental support, encouraging interactions with (efficacious) peers may nonetheless be beneficial to young job seekers. Methodologically, the results demonstrate that the operationalization of self-efficacy as a network characteristic might provide us with valuable insights into the characteristics that turn social networks into beneficial social resources.

The purpose of this paper is to explore the knowledge infrastructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field.

Based on bibliometric data downloaded from the Web of Science, the authors apply various social network analysis (SNA) and visualization tools to examine the structure of knowledge networks of the PLS-SEM domain. Specifically, the authors investigate the PLS-SEM knowledge network by analyzing 84 methodological studies published in 39 journals by 145 authors from 106 institutions.

The analysis reveals that specific authors dominate the network, whereas most authors work in isolated groups, loosely connected to the network’s focal authors. Besides presenting the results of a country level analysis, the research also identifies journals that play a key role in disseminating knowledge in the network. Finally, a burst detection analysis indicates that method comparisons and extensions, for example, to estimate common factor model data or to leverage PLS-SEM’s predictive capabilities, feature prominently in recent research.

Addressing the limitations of prior systematic literature reviews on the PLS-SEM method, this is the first study to apply SNA to reveal the interrelated structures and properties of PLS-SEM’s research domain.

The purpose of this paper is to establish the influences of the colours red and blue on perceived well being, social cohesion and productivity in complex real life work conditions during regular meetings.

In total, seven regular government teams held seven regular meetings in red, blue and reference meeting rooms. In literature it is often mentioned that red is a warm and blue a cool colour. To be able to test the warmth and coldness effects the authors have amplified the warm and cold qualities with light colour and colour of the table top desk. The employees were asked to complete questionnaires concerning perceived well being, social cohesion and productivity. In total, 52 subjects completed three questionnaires, at the start, the end and two or three days after the meeting. Data were analysed with SPSS 16.

The findings did not show any effects of the red and blue environment on perceived well being, social cohesion and productivity. The authors assume the processes in real life work situations are too complex to measure influences.

The research focuses on individual perceptions and did not measure actual well being, social cohesion and productivity.

Practical implications are that statements frequently mentioned in literature concerning influences of red and blue might be not valid in real life meeting settings. New ways of testing the impact of colours should be reconsidered. Because lab situations are too simplified and artificial, the authors suggest testing influences of colour in an isolated setting in relation to art.

The originality of this research concerns testing colour influences in complex real life work settings, such as meetings.

A first exploration of the impact of blockchain on real estate in the Netherlands took place in 2017. In the follow-up, several blockchain and real estate studies have appeared with research on real estate and blockchain worldwide. In view of the previous research, the question remained as to what is now happening worldwide in the field of blockchain and real estate. This has resulted in the start-up of the Foundation for International Blockchain and Real Estate Expertise (FIBREE) network. This network has led to the launch of two investigations: Industry Report Blockchain Real Estate 2019 on exploration of international products and a database exploring blockchain and real estate on exploring (inter)national research. This paper aims to provides an overview and analysis of all relevant scientific publications – targeted on the Netherlands – and does so within a context of a first small international exploration of international research, experts and products – in particular land registration.

I have asked everybody at the Regionals Chairs of FIBREE to collect data with info about which blockchain and real estate product-suppliers or initiatives do you see, which research-output on blockchain and real estate is there and who are the experts with which specific expertise? This paper provides an overview and analysis of all relevant scientific publications – targeted on the Netherlands – and does so within a context of a first small international exploration of international research, experts and products – in particular land registration.

This paper provides an overview and analysis of all relevant scientific publications – targeted on the Netherlands – and does so within a context of a first small international exploration of international research, experts and products – in particular land registration.

A question that remains is to continue to look at existing markets or too disruptive innovation newcomers in the blockchain market. The question is whether blockchain is only a technological disruption or a real game changer and whether the entire value chain of the market is going to embrace this. Confidence in blockchain is therefore a precondition for guiding that disruption where (new) companies use new technology to offer cheaper and superior alternatives in the market. But the big question is how quickly blockchain will develop as well as all its applications.

A question that remains is to continue to look at existing markets or too disruptive innovation newcomers in the blockchain market. The question is whether blockchain is only a technological disruption or a real game changer and whether the entire value chain of the market is going to embrace this. Confidence in blockchain is therefore a precondition for guiding that disruption where (new) companies use new technologies to offer cheaper and superior alternatives in the market. But the big question is how quickly blockchain will develop as well as all its applications.

A first exploration of the influence of blockchain on real estate in the Netherlands took place in 2017. In the follow-up, several blockchain and real estate studies appear with research about real estate and blockchain worldwide.

SGML, or Standard Generalised Markup Language, is an international standard (ISO 8879) allowing the logical structure of electronic documents to be represented rigorously and independent of applications. This article does not discuss the actual standard, but rather proposes a strategy libraries can consider when implementing SGML applications on top of existing products, or when embedding these in innovative end‐user services. Experiences of SGML within the VUBIS‐Antwerpen Library Network (Belgium) are discussed VUBIS‐Antwerpen has adopted SGML as a key standard for the exploitation of its bibliographical data (union catalogues, document ordering online contents, current awareness, publishing on the World Wide Web). With the move towards electronic publication and distribution of documents, SGML tends to become a crucial standard for digital libraries. Projects such as TEI, ELSA, DECOMATE and ELVYN now focus on access to and delivery of full‐text electronic documents, using SGML to manipulate, process and transform the document for the purposes of full‐text searching or hypertext navigation.

Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to examine how PLS-SEM has been applied in KM research, also providing some new guidelines how to improve PLS-SEM report analysis.

To ensure an objective way to analyse relevant works in the field of KM, this study conducted a systematic literature review of 63 publications in three SSCI-indexed and specific KM journals between 2015 and 2017.

Our results show that over the past three years, a significant amount of KM works has empirically used PLS-SEM. The findings also suggest that in light of recent developments of PLS-SEM reporting, some common misconceptions among KM researchers occurred mainly related to the reasons for using PLS-SEM, the purposes of PLS-SEM analysis, data characteristics, model characteristics and the evaluation of the structural models.

This study contributes to that vast KM literature by documenting the PLS-SEM-related problems and misconceptions. Therefore, it will shed light for better reports in PLS-SEM studies in the KM field.