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The purpose of this paper is to extend sponsorship literature by investigating the role of the fit construct and perceived sponsorship portfolio size for event sponsorship success. To analyze the sponsor–event fit in more detail, the authors draw on the network perspective and, as a consequence, split the sponsor–event fit into two constructs: the sponsor–artist fit construct and the sponsor–event organizer fit construct. Then, a model is developed and tested that examines the effect of these two constructs and perceived sponsorship portfolio size on sponsorship success.

The model is tested with data from 330 visitors to two different concerts in Switzerland. Real events with non-student samples are examined. The data are tested using Mplus 6.0 structural equation modeling.

Results report that the sponsor–artist fit, the sponsor–event organizer fit and perceived sponsorship portfolio size are important drivers of attitude toward the sponsor. Moreover, sponsorships that cause positive attitudes toward the sponsor are found to enhance willingness to pay a price premium and purchase intention.

This paper reveals that it is important for sponsorship managers to correctly consider the fit construct and perceived sponsorship portfolio size for sponsorship success. Additionally, the tested model provides an instrument for measuring sponsorship effectiveness.

The current paper reveals new results by investigating the impact of the sponsor–artist fit and the sponsor–event organizer fit on sponsorship success. Furthermore, the current research paper is the first to analyze the effects of a sponsorship portfolio which is not limited to one sponsorship category on sponsorship success.

The purpose of this paper is to introduce a method that the authors call stakeholder cross-impact analysis (SCIA), which is aimed at analyzing how a given set of stakeholders influence one another and also how such stakeholders relate to a given set of issues.

The authors first identify, in the current literature, a lack of analytical tools for assessing mutual influences among stakeholders. The authors then identify cross-impact analysis, a method that was initially developed in the field of futures research, as a suitable method to be applied in the present research. Its application, which the authors call SCIA, is described in detail through a fictitious case.

SCIA permits to assess the direction and the strength of relationships between stakeholders. Furthermore, it allows for the classification of stakeholders based on their level of dependence and influence on others. Also, it is possible to integrate SCIA with social network analysis in order to understand the degree to which stakeholders agree on how issues influence one another, as well as to identify which issues most stakeholders consider to be central and which stakeholders have the most shared opinion on how issues are related.

This method can be used, along with traditional segmentation techniques, by corporate communication and public relations practitioners in order to gain a more sophisticated understanding of the complexity of organizations’ environments.

SCIA represents a much-needed and novel way of understanding the complexity of organizations’ environments.

Satellite-based weather index insurance has recently been considered in order to reduce the high basis risk of station-based weather index insurance. However, the use of satellite data with a relatively low spatial resolution has not yet made it possible to determine the satellite indices free of disturbing landscape elements such as mountains, forests and lakes.

In this context, the Normalized Difference Vegetation Index (NDVI) was used based on both Moderate Resolution Imaging Spectroradiometer (MODIS) (250 × 250 m) and high-resolution Landsat 5/8 (30 × 30 m) images to investigate the effect of a higher spatial resolution of satellite-based weather index contracts for hedging winter wheat yields. For three farms in north-east Germany, insurance contracts both at field and farm level were designed.

The results indicate that with an increasing spatial resolution of satellite data, the basis risk of satellite-based weather index insurance contracts can be reduced. However, the results also show that the design of NDVI-based insurance contracts at farm level also reduces the basis risk compared to field level. The study shows that higher-resolution satellite data are advantageous, whereas satellite indices at field level do not reduce the basis risk.

To the best of the author’s knowledge, the effect of increasing spatial resolution of satellite images for satellite-based weather index insurance is investigated for the first time at the field level compared to the farm level.

The purpose of this paper is to present an exploratory essay evaluating whether involuntary intellectual capital disclosure (ICD) is value relevant to stakeholders. The authors define involuntary disclosure as “what external stakeholders and stakeseekers disclose about a company”. This essay is timely because it lays the foundations for future ICD research that departs from traditional analyses of corporate reports, especially annual reports.

The paper provides a critical reflection on current and future developments in ICD research. The normative arguments rely on the experience and expertise along with examples from the ICD literature and contemporary business media to critique existing ICD research and practice and to offer new ways forward for future research.

In highlighting the limitations of the traditional ICD literature, the authors provide a foundation from which researchers should contemplate a powerful new force in ICD brought about by the rapid transformation in technologies and forces of mass communication. The authors introduce the concept of “involuntary disclosure”, and highlight several key issues that intellectual capital (IC) researchers should consider if they want their academic endeavours to contribute not only to practice, but to a wider environmental and social good.

Involuntary disclosures produced by stakeholders and stakeseekers introduce opportunities and threats to organisations, bringing new risks that impact share value and reputations. How well organisation manage these risks, and the impact inside and outside organisational boundaries, to provide economic, environmental and social value, should provide ample fuel for future transformational IC research.

The most value relevant disclosures are not what an organisation discloses or reports about itself, but rather what stakeholders and stakeseekers communicate. However, how reliable are involuntary disclosures and how can stakeholders and organisations verify IC disclosures coming from outside the organisation? If involuntary IC disclosures are value relevant, how might organisations seek to influence and manage them to serve their ends?