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Alessandro Grandi

Researcher at University of Bologna

Publications -  37
Citations -  1494

Alessandro Grandi is an academic researcher from University of Bologna. The author has contributed to research in topics: Mediterranean sea & New Ventures. The author has an hindex of 12, co-authored 37 publications receiving 1386 citations.

Papers
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Business incubators and new venture creation: an assessment of incubating models

TL;DR: In this paper, the authors identify a list of incubator "characterizing" variables to highlight the main differences between the four types of incubators and to describe the incubating models.
Posted Content

Academics' Organizational Characteristis and the Generation of Successful Business Ideas

TL;DR: In this paper, the authors investigated the organizational factors that affect the success of new ventures established by academics and found that the business idea market attractiveness of the startup is positively influenced by the market orientation of the academic founders and the interaction frequency with outside agents.
Journal ArticleDOI

Exploring the Networking Characteristics of New Venture Founding Teams: A Stdy of Italian Academic Spin-off

TL;DR: In this article, the authors deal with newly established academic spin-off companies and their relations with external agents, and they identify the external agents who are most likely to have interactions with academic spinoff companies.
Journal ArticleDOI

Academics' organizational characteristics and the generation of successful business ideas

TL;DR: In this paper, the authors investigated organizational factors affecting the process through which new ventures are established by academics and are likely to affect their performance, and found that the BI Market Attractiveness at the time of establishment of the new venture is positively influenced by the market orientation of the academic founders, and by their frequency of interaction with external agents.
Book

Evaluation and Performance Measurement of Research and Development: Techniques and Perspectives for Multi-level Analysis

TL;DR: In this paper, a comprehensive, multi-level framework for the evaluation of industrial R&D activities and the measurement of their performances is developed and illustrates a set of hierarchical, interrelated levels at which research evaluation and performance measurement could be undertaken.