Pierpaoli, Emanuele
  
(2014)
Technology Development and Consumer Acceptance of Innovation in Fruit Production, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. 
 Dottorato di ricerca in 
Scienze e tecnologie agrarie, ambientali e alimentari, 26 Ciclo. DOI 10.6092/unibo/amsdottorato/6623.
  
 
  
  
        
        
        
  
  
  
  
  
  
  
    
  
    
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      Abstract
      Precision Agriculture (PA) and the more specific branch of Precision Horticulture are two very promising sectors. They  focus on the use of technologies in agriculture to optimize the use of inputs, so to reach a better efficiency, and minimize waste of resources.
This important objective motivated many researchers and companies to search new technology solutions. Sometimes the effort proved to be a good seed, but sometimes an unfeasible idea. So that PA, from its birth more or less 25 years ago, is still a “new” management, interesting for the future, but an actual low adoption rate is still reported by experts and researchers.
This work aims to give a contribution in finding the causes of this low adoption rate and proposing a methodological solution to this problem.
The first step was to examine prior research about Precision Agriculture adoption, by ex ante and ex post approach. It was supposed as important to find connections between these two phases of a purchase experience. In fact, the ex ante studies dealt with potential consumer’s perceptions before a usage experience occurred, therefore before purchasing a technology, while the ex post studies described the drivers which made a farmer become an end-user of PA technology.
Then, an example of consumer research is presented. This was an ex ante research focused on pre-prototype technology for fruit production. This kind of research could give precious information about consumer acceptance before reaching an advanced development phase of the technology, and so to have the possibility to change something with the least financial impact.
The final step was to develop the pre-prototype technology that was the subject of the consumer acceptance research and test its technical characteristics.
     
    
      Abstract
      Precision Agriculture (PA) and the more specific branch of Precision Horticulture are two very promising sectors. They  focus on the use of technologies in agriculture to optimize the use of inputs, so to reach a better efficiency, and minimize waste of resources.
This important objective motivated many researchers and companies to search new technology solutions. Sometimes the effort proved to be a good seed, but sometimes an unfeasible idea. So that PA, from its birth more or less 25 years ago, is still a “new” management, interesting for the future, but an actual low adoption rate is still reported by experts and researchers.
This work aims to give a contribution in finding the causes of this low adoption rate and proposing a methodological solution to this problem.
The first step was to examine prior research about Precision Agriculture adoption, by ex ante and ex post approach. It was supposed as important to find connections between these two phases of a purchase experience. In fact, the ex ante studies dealt with potential consumer’s perceptions before a usage experience occurred, therefore before purchasing a technology, while the ex post studies described the drivers which made a farmer become an end-user of PA technology.
Then, an example of consumer research is presented. This was an ex ante research focused on pre-prototype technology for fruit production. This kind of research could give precious information about consumer acceptance before reaching an advanced development phase of the technology, and so to have the possibility to change something with the least financial impact.
The final step was to develop the pre-prototype technology that was the subject of the consumer acceptance research and test its technical characteristics.
     
  
  
    
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Pierpaoli, Emanuele
          
        
      
        
          Supervisore
          
          
        
      
        
      
        
          Dottorato di ricerca
          
          
        
      
        
          Scuola di dottorato
          Scienze agrarie
          
        
      
        
          Ciclo
          26
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          Technology Adoption, Technology Acceptance Model, Structural Equation Model, Exploratory Factor Analysis, Wireless Sensor Network, Precision Horticulture, Precision Fuit Growing
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/6623
          
        
      
        
          Data di discussione
          8 Maggio 2014
          
        
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Tesi di dottorato
      
      
      
      
        
      
        
          Autore
          Pierpaoli, Emanuele
          
        
      
        
          Supervisore
          
          
        
      
        
      
        
          Dottorato di ricerca
          
          
        
      
        
          Scuola di dottorato
          Scienze agrarie
          
        
      
        
          Ciclo
          26
          
        
      
        
          Coordinatore
          
          
        
      
        
          Settore disciplinare
          
          
        
      
        
          Settore concorsuale
          
          
        
      
        
          Parole chiave
          Technology Adoption, Technology Acceptance Model, Structural Equation Model, Exploratory Factor Analysis, Wireless Sensor Network, Precision Horticulture, Precision Fuit Growing
          
        
      
        
          URN:NBN
          
          
        
      
        
          DOI
          10.6092/unibo/amsdottorato/6623
          
        
      
        
          Data di discussione
          8 Maggio 2014
          
        
      
      URI
      
      
     
   
  
  
  
  
  
    
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