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By using the lens of effectuation and causation, this paper aims at exploring how the team is formed in high-tech academic spinoffs, by looking specifically at decisional heuristics in an academic context. Indeed, the team composition is a critical issue for the subsequent growth of the academic new venture: on the one hand, the scientific-centred knowledge of the academic entrepreneurs is one of the main elements that lay the foundation for the new venture; on the other hand, it has been widely recognized that the lack of market-related knowledge and experience often has detrimental effects on performance. Decisive is then to explore how team decisions pertaining to the team formation process are taken.

A qualitative methodology based on multiple case studies is adopted under an abductive approach.

Results shed light on how decisions pertaining to team formation are taken by academic entrepreneurs and with what effects on team composition, a fundamental element to foster the growth of academic new ventures. Specifically, this study derives some propositions about the adoption of effectuation and causation in the team formation process, their occurrence and sequence in the light of the scientific context in which academic new ventures spin out and the effects on the team composition.

This study contributes to the debate on academic entrepreneurs’ decisional heuristic and the use of effectuation or causation in the early stages of an academic new venture, by focusing on the team formation process. This study specifically considers three temporal micro-phases – the selection of founders before inception, the appointment of top management teams, and the integration of early employees after the inception – and whether the academic context influences the decisional heuristics. Managerial implications are also derived.

The purpose of this paper is to investigate the formative dimensions of organizational resilience – namely dynamic capabilities (DCs) and social capital – displayed by retail entrepreneurs in the face of natural disasters (i.e. the 2012 Emilia earthquake). The paper evaluates social capital and the various types of DCs that support small entrepreneurs’ resilience during three temporal units of analysis: before the earthquake, during the emergency period, and during the recovery process.

The study was performed by applying a qualitative approach based on two focus groups and a double set of semi-structured interviews administered to a sample of eight small retail entrepreneurs hit by the 2012 Emilia earthquake. Content analysis was then applied.

The findings show that DCs and social capital are instrumental to enhancing organizational resilience; moreover the contribution of each category of DCs (reconfiguration, leveraging, sensing and interpreting, learning and knowledge integration) and social capital to entrepreneurs’ resilience changes according to the temporal phase of the natural disaster under analysis.

This study will provide small retailer entrepreneurs and public authorities with useful insights on how DCs and social capital can practically support recovery paths at different times in the occurrence of a natural disaster.

This study contributes to the scientific debate on organizational resilience in disaster management, studying it through the lens of DCs and social capital, and analyzing the role of different types of DCs in developing entrepreneurs’ resilience during the various periods of a natural disaster. Moreover, it contributes by applying the concepts of resilience and DCs to a poorly investigated entrepreneurial context such as the retail one.

This study aims to build and test an International Market Selection (IMS) decision process method that is able to capture, within a small firm’s risk-averse setting, the entrepreneur's experience, reduce cognitive biases, and preserve the flexibility of the decision, by combining the advantages of systematic and behavioural-based international market selection approaches.

The unit of analysis is the IMS decision process of a small firm venturing abroad. We adopt a ranking approach based on three-step screening. We assess the markets through a multi-criteria approach with a wider set of variables aggregated within a tree-shaped model. To obtain the ranking, we use a Fuzzy Expert System (FES) as an evaluative tool.

The results show that the proposed decision method is consistent with the entrepreneur’s strategic orientation and experience, while preserving the flexibility requested for decision-making in small firms. Unlike traditional behavioural IMS approaches, the method demonstrates an ability to reduce the cognitive biases associated with the use of a limited set of variables and unreliable evaluation models.

The single-case-study approach limits generalization of the findings.

The proposed methodology helps the decision-maker to improve the quality of the IMS decision by reducing the effect of cognitive biases that usually affect traditional behavioural models.

For the first time, a decision-process methodology based on an FES is applied to a small firm’s IMS problem.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

The purpose of this paper is to reflect on what can be learned about disaster risk reduction (DRR) from the L’Aquila trial of scientists. The court case was initiated because of a controversial meeting on 31 March 2009 of the Major Risks Committee (MRC), held under the auspices of the Italian Department of Civil Protection. The purpose of the meeting was to consider (prior to the fatal earthquake of 6 April 2009) disaster risk in the L’Aquila area, which was being affected by an earthquake swarm since October 2008.

The authors undertook a document analysis of trial materials, and a review of academic and media commentary about the trial.

The legal process revealed that disaster governance was inadequate and not informed by the DRR paradigm or international guidelines. Risk assessment was carried out only in a techno-scientific manner, with little acknowledgement of the social issues influencing risks at the local community level. There was no inclusion of local knowledge or engagement of local people in transformative DRR strategies.

Most previous commentary is inadequate in terms of not considering the institutional, scientific and social responsibilities for DRR as exposed by the trial. This paper is unique in that it considers the contents of the MRC meeting as well as all trial documents. It provides a comprehensive reflection on the implications of this case for DRR and the resilience of peoples and places at risk. It highlights that a switch from civil protection to community empowerment is needed to achieve sustainable outcomes at the local level.