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1 – 2 of 2Francesca Dal Mas, Maurizio Massaro, Paola Paoloni and Aino Kianto
This paper aims to analyse the role of business plan development as a knowledge translation tool, especially for the creation of start-ups. In a complex knowledge ecosystem…
Abstract
Purpose
This paper aims to analyse the role of business plan development as a knowledge translation tool, especially for the creation of start-ups. In a complex knowledge ecosystem populated by multiple diverse and autonomous actors (such as potential entrepreneurs, local companies, local public entities and business consultants) bonded together by a joint search for valuable knowledge, business plan development can work as a powerful enabler for the translation of knowledge.
Design/methodology/approach
The study uses a qualitative multi-case study approach by examining the results of a public programme devoted to the creation of new entrepreneurial ventures. The authors analysed 418 complete business plans and followed up with all the participants with an interview. In total, 40 cases were investigated more in detail.
Findings
Results show how business plan development can function as a bridge between academic, theoretical and general knowledge on start-up creation on the one hand and practical contextualised activities of potential entrepreneurs on the other.
Practical implications
The process of knowledge translation is crucial to ensure that relevant knowledge coming from both the inside (the entrepreneur) and outside (the stakeholders) of the organisation is effectively applied. To facilitate the translation process, key knowledge users should be supported in contextualising and making sense of the research knowledge. Initiatives carried out by local entities and other actors, gathering several stakeholders to develop business plans, can become valuable opportunities to facilitate the translation process for start-up development.
Originality/value
The paper contributes to knowledge management and knowledge translation literature by demonstrating the role of business plan development as an effective knowledge translation enabler. It also adds to the understanding of innovation management and entrepreneurial education by proving the relevance of the translation of knowledge for the creation of new business ventures.
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Keywords
Alberto Cavazza, Francesca Dal Mas, Paola Paoloni and Martina Manzo
Artificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of…
Abstract
Purpose
Artificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.
Design/methodology/approach
A structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.
Findings
Findings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.
Originality/value
The paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.
Details