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The purpose of this paper is to investigate the possibility of using the new marketing research tool of prediction markets (PMs), which integrates customers to into the marketing research process. The research questions are: does taking part in PMs influence customers’ brand perception? Is there a danger of damaging a brand through this tool?

The paper uses a series of five short-term (less than one hour) and five long-term (three weeks) experimental online PMs where customers are integrated into marketing research and apply a series of online-surveys before and after taking part as virtual stock market traders. Subjects of research are taken from the sporting goods industry.

The paper shows that PMs can be used by marketing researchers without the danger of damaging the brand of the products that are subject of the PMs, although customers are being integrated to improve the markets’ forecasting accuracy.

The study's subject are medium priced sporting goods only. Possibly in other product fields, results may differ. Thus, the authors see a field for further research in this limitation.

Managers for marketing intelligence have more reason to make use of the efficient and rather new tool, PMs. Marketers can potentially improve their forecasting accuracy by integrating customer information into their reports. In addition, the authors see a high potential in the area of innovation management as well.

There has been no research on perceptions of PMs and brands at all so far.

The objective in this study is to evaluate the mediating role of personal factors affecting the Web behaviour and in turn the length of Web sessions as a highly‐subjective variable among individuals. This could be used to explain and improve the users’ experience of being and acting in the Web. The present study uses a flow‐ versus goal‐directed theoretical and practical approach to determine the influence of personal factors on Web behaviours and session lengths. A field study of 209 Web users was conducted to validate measures used to operationalise model variables and to test the hypothesised network of relationships using partial least squares (PLS) as a second‐generation multivariate analysis technique. The study findings indicate that experiential behaviour, followed by goal‐directed behaviour, has the largest influence on the lengths of Web sessions.

The purpose of this paper is to acknowledge that there are bibliometric differences between Social Sciences and Humanities (SSH) vs Science, Technology, Engineering and Mathematics (STEM). It is not so that either SSH or STEM has the right way of doing research or working as a scholarly community. Accordingly, research evaluation is not done properly in one framework based on either a method from SSH or STEM. However, performing research evaluation in two separate frameworks also has disadvantages. One way of scholarly practice may be favored unintentionally in evaluations and in research profiling, which is necessary for job and grant applications.

In the case study, the authors propose a tool where it may be possible, on one hand, to evaluate across disciplines and on the other hand to keep the multifaceted perspective on the disciplines. Case data describe professors at an SSH and a STEM department at Aalborg University. Ten partial indicators are compiled to build a performance web – a multidimensional description – and a one-dimensional ranking of professors at the two departments. The partial indicators are selected in a way that they should cover a broad variety of scholarly practice and differences in data availability.

A tool which can be used both for a one-dimensional ranking of researchers and for a multidimensional description is described in the paper.

Limitations of the study are that panel-based evaluation is left out and that the number of partial indicators is set to 10.

The paper describes a new tool that may be an inspiration for practitioners in research analytics.

In the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.

From the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).

Four configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.

This study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.

The study aims to investigate the impact of technological innovation, such as blockchain, in the music field from a value co-creation perspective, highlighting how it is determining a radical change in the business model and value creation process.

To shed light on how blockchain adoption is reconfiguring the music industry, the authors adopted a qualitative-based approach based on a case study, allowing us to investigate value co-creation at three levels (macro, meso and micro) through exchange and integration of multi-actor resources.

The authors found that blockchain adoption in the music industry can singularly shape the business model, representing a powerful tool to enhance inter-organizational cooperation in value creation. It effectively deals with operational and business issues, besides financial transactions, profoundly impacting both the creation and distribution of value within the supply chain.

The research contributes to a better understanding of innovation adoption in a specific setting, the music industry, giving support and guidance for players working in this ecosystem. The blockchain-music link helps close the gap between music and society through technology, thus providing a foundation for future research.

The paper provides new insights into the antecedents and mechanisms of value co-creation, spanning macro-, meso-, and micro-levels of context. It also illustrates the factors underpinning Bitsong viability to embed the value co-creation perspective in designing the business model within a value network.