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1 – 6 of 6Alberto Cavazza, Francesca Dal Mas, Maura Campra and Valerio Brescia
This study aims to investigate the use of Artificial Intelligence (AI) applied to vertical farms to evaluate whether disrupting technology supports sustainability and increases…
Abstract
Purpose
This study aims to investigate the use of Artificial Intelligence (AI) applied to vertical farms to evaluate whether disrupting technology supports sustainability and increases strategic business model choices in the agricultural sector. The study responds through empirical analysis to the gap on the subject of AI-driven business models present in the growing sector literature.
Design/methodology/approach
The paper analyzes the case of “ZERO”, a company linked to the strategy innovation ecosystem of the Ca’ Foscari University of Venice, Italy. The empirical data were collected through a semi-structured questionnaire, interviews and the analysis of public news on the business model available in the analyzed case study. The research is empirical and uses exploratory, descriptive analysis to interpret the findings. The article focuses on the evaluation of AI impact on the agricultural sector and its potential to create new business models.
Findings
The study identified how AI can support the decision-making process leading to an increase in productivity, efficiency, product quality and cost reduction. AI helps increase these parameters through a continuous learning process and local production, and the possible decrease in prices directed toward the goal of zero km food with fresh products. AI is a winning technology to support the key elements of the vertical farm business model. However, it must be coupled with other devices, such as robots, sensors and drones, to collect enough data to enable continuous learning and improvement.
Research limitations/implications
The research supports new research trends in AI applied to agriculture. The major implication is the construction of ecosystems between farms, technology providers, policymakers, universities, research centers and local consumer communities.
Practical implications
The ZERO case study underlines the potential of AI as a destructive technology that, especially in vertical farms, eliminates external conditions by increasing productivity, reducing costs and responding to production needs with adequate consumption of raw materials, boosting both environmental and social sustainability.
Originality/value
The study is original, as the current literature presents few empirical case studies on AI-supporting business models in agriculture. The study also favors valuable strategic implications for the policies to be adopted in favor of new business models in agriculture.
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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.
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Elisabetta Bini, Ferdinando Fasce and Toni Muzi Falconi
The purpose of this paper is to analyze the emergence and development of public relations in Italy between 1945 and 1960. Its aim is to examine the main actors (corporate and…
Abstract
Purpose
The purpose of this paper is to analyze the emergence and development of public relations in Italy between 1945 and 1960. Its aim is to examine the main actors (corporate and political) involved in the process, how they were influenced by the USA and the emergence of professional associations devoted to expanding the field
Design/methodology/approach
The paper is based on research conducted in US and Italian archives and libraries. It analyzes primary sources concerning corporations, government agencies and professional associations involved in promoting public relations in post‐war Italy, such as the United States Information Service, Standard Oil (NJ), Fiat, Piaggio, Olivetti, Pirelli, Intersind.
Findings
This paper argues that the introduction of public relations in postwar Italy was strongly influenced by US companies and government agencies, which had a considerable impact on the emergence of professional associations. It also looks at the specific Italian definitions of public relations and points out that in Italy the field of public relations emphasized the importance of “style” and culture over that of marketing, and was often carried out by an array of “humanists” (poets, graphic designers, and writers).
Originality/value
This paper is one of the first studies about the history of public relations in Italy. It points out the peculiarity of the Italian case, by showing the intersection between the terms “propaganda” and “public relations” in a country that had experienced 20 years of Fascist rule.
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Federico Ricci, Andrea Chiesi, Carlo Bisio, Chiara Panari and Annalisa Pelosi
This meta-analysis aims to verify the efficacy of occupational health and safety (OHS) training in terms of knowledge, attitude and beliefs, behavior and health.
Abstract
Purpose
This meta-analysis aims to verify the efficacy of occupational health and safety (OHS) training in terms of knowledge, attitude and beliefs, behavior and health.
Design/methodology/approach
The authors included studies published in English (2007–2014) selected from ten databases. Eligibility criteria were studies concerned with the effectiveness of OHS training for primary prevention of workplace injury; and studies focused on examined outcome related to OHS.
Findings
The selected studies (n = 28) highlighted a strong support for the effectiveness of training on worker OHS attitudes and beliefs and, to a lesser extent, on worker’s knowledge but only medium for behavior and small evidences for its effectiveness on health.
Research limitations/implications
Future research should more deeply investigate the efficacy on knowledge increase of trainings delivered by experts and researchers, applying different methods, in a small group; training delivered by peer and by researcher, applying different methods; and trained workers less than 29 years and more than 49 years old, considering that workers in these age groups are particularly vulnerable to fatalities.
Practical implications
Our study is a contribution for those they intend to grant effective training, in response to specific needs of OHS. The evidences presented could be considered a first step to identify the factors related to the efficacy of OHS training to plan adequate interventions.
Social implications
The OHS training is effective on the basis of the extent interventions are carried out for each specific learning outcome.
Originality/value
This meta-analysis suggested that classroom training, although the most used and studied, does not ever revealed itself very effective: it was not significant for outcomes in terms of knowledge and showed a decreasing efficacy for attitudes and beliefs, behaviors and health. It seemed that there was a distinction between interventions on knowledge, attitudes and beliefs, as opposed to behavioral interventions and health.
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