Table 1

List of potential digital solutions developed and related benefits deriving from technology adoption, by industry

IndustryPotential digital solutionsPotential benefitsAuthor(s)
Agriculture, forestry and fishing
  1. Digital data platform

  2. Mobile apps for farmers

  3. Robotics

  4. Precision agriculture

  5. Services in rural areas

  6. Sustainable ecosystems

  7. Data-driven agriculture

  8. Artificial intelligence

  1. Improvement of resources efficiency

  2. Reduction of manual work

  3. Information sharing

  4. Development of rural areas

  5. Equipment innovation

Di Vaio et al. (2020), Gregorioa and Ancog (2020) 
Mining
  1. Real-time analytics and data visualization

  2. Cloud solutions

  3. Digital plants

  4. Virtual simulations and 3D printing

  5. Automation of the assets (e.g., Artificial intelligence)

  1. Integration and automation across value chain

  2. Productivity improvement

  3. Better performance

  4. Digitally enabled workforce

  5. Decrease in injuries

Li and Zhan (2018) 
Construction
  1. Focus on hospitals, schools, roads and plants

  2. Management of waste production

  3. Ecological building

  4. Augmented reality

  5. Software to prevent accidents and to monitor delivery times

  1. Higher productivity

  2. Environmental impact

  3. Reduction of emissions

  4. Safety

  5. Cost reduction

  6. Better collaboration

Sepasgozar and Davis (2019) 
Manufacturing
  1. Smart factory

  2. 3D printing

  3. Industrial robots and drones

  4. Smart grids

  5. Real-time analytics

  6. Sophisticated sensors

  1. Higher customization

  2. Better collaboration

  3. Low energy costs

  4. Reduction of emissions and materials consumption

Wuest et al. (2020) 
Transportation, communications, electric, gas and sanitary services
  1. Car sharing

  2. Autonomous and connected vehicles

  3. Real-time traffic management

  4. Robotics

  5. 3D printing

  6. Digital infrastructures

  1. Higher citizen protection

  2. Ecosystem integration

  3. Data sharing

  4. Reduction of gas emissions

  5. Supply chain optimization

  6. Higher security

Sarkis et al. (2020), Chen et al. (2020) 
Wholesale trade
  1. Sensors

  2. Predictive analytics applications and big data analytics

  3. Innovative tracking systems and real-time remote inventory sensing

  4. Artificial intelligence

  5. E-commerce

  1. Inventory optimization

  2. Data sharing

  3. Higher efficiency

  4. Disintermediation

  5. Support to decision-making

  6. More informed sales force

  7. Higher customization

Levius et al. (2018) 
Retail trade
  1. E-commerce

  2. Social media

  3. Artificial intelligence (e.g., chatbots)

  4. Augmented reality

  5. Circular economy

  6. Analytics

  7. Digital-physical integration

  1. Time saving

  2. Higher client engagement

  3. Focus on customer experience

  4. Hyper- personalization

  5. More informed customers

Saveleva et al. (2020), Weber and Schütte (2019) 
Finance, insurance and real estate
  1. Apps

  2. Artificial intelligence and robo-advice platforms

  3. Digital payments (e.g., cryptocurrencies)

  4. Advanced analytics

  5. Blockchain

  1. Disintermediation

  2. Higher accessibility

  3. Speed transactions

  4. Higher client engagement

  5. Better individual profiling

  6. Transparency

Wang et al. (2020) 
Services
  1. Robotics

  2. Sharing economy

  3. Artificial intelligence

  4. Social media and messaging

  1. Collaboration and engagement

  2. Higher accessibility

  3. Customization

  4. Data sharing and availability

  5. Innovative and fast solutions

Choi (2020) 
Public administration
  1. e-Government

  2. Electronic invoices

  3. Electronic transactions

  4. Cloud platforms

  1. Higher efficiency

  2. High-quality public services

  3. Transparency and accessibility

  4. Better interaction between administrations, citizen and businesses

Yang (2020) 

Source(s): Our elaboration

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