Understanding Market Actors’ Perspectives on Agri-Food Data Sharing: Insights from the Digital Food Passports Pilot in Poland DOI Creative Commons
Katarzyna Kosior,

Paulina Młodawska

Agriculture, Journal Year: 2024, Volume and Issue: 14(12), P. 2340 - 2340

Published: Dec. 20, 2024

This study examines market actors’ perspectives on agri-food data sharing within traceability- and transparency-oriented digital systems, which are crucial for enhancing sustainable food supply chains. Drawing the ‘Digital Food Passports’ pilot in Poland, research aimed to identify factors influencing willingness share provide reliable comprehensive information origin, journey, quality of products. Through thematic analysis, key motivators barriers stakeholder engagement were identified. Findings highlight necessity a clear value proposition all actors production distribution chain invest resources time additional data-exchange systems. For farmers, reducing burdensome reporting procedures providing direct financial incentives motivators. Agri-food processing, transport, packaging companies viewed collaboration as practical tool ensure high-quality raw materials promote premium-priced food. Appropriate management policies critical stakeholders. While sustainability was recognized important, opportunities going beyond economic considerations not widely explored. Additionally, concerns about how will be interpreted—even among producers demonstrating practices—emerged significant issue, topic extensively discussed existing literature. These findings underscore need data-sharing strategies that better align benefits with broader goals. Further should also explore mitigate over misinterpretation encourage greater involvement initiatives.

Language: Английский

A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0 DOI Creative Commons
Elham Shadkam, Elnaz Irannezhad

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 109930 - 109930

Published: Jan. 14, 2025

Language: Английский

Citations

2
Pairing AI and Sustainability: Envisioning Entrepreneurial Initiatives for Virtuous Twin Paths DOI
Francesco Paolo Appio, Federico Platania,

Celina Toscano Hernandez

et al.

IEEE Transactions on Engineering Management, Journal Year: 2024, Volume and Issue: 71, P. 11669 - 11686

Published: Jan. 1, 2024

Language: Английский

Citations

4
Digitalisation to zero-waste: the interplay of open eco-innovation and the circular economy in agricultural enterprises DOI Creative Commons
Wutthiya Aekthanate Srisathan,

Wongsatorn Worrakittikul,

Kanokon Rattanapon

et al.

International Journal of Sustainable Engineering, Journal Year: 2025, Volume and Issue: 18(1), P. 1 - 21

Published: Jan. 20, 2025

Language: Английский

Citations

0
Twin transition in industrial organizations: Conceptualization, implementation framework, and research agenda DOI Creative Commons
Sabrina Tabares, Vinit Parida, Koteshwar Chirumalla

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 213, P. 123995 - 123995

Published: Feb. 3, 2025

Language: Английский

Citations

0
Digital disruption, knowledge and collaborative networks and green innovation in China manufacturing transformation DOI
Yao Xiao,

Rong Xiang,

Yong-lei Sun

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 216, P. 124120 - 124120

Published: April 16, 2025

Language: Английский

Citations

0
The impact of audit quality on the CO2 emissions: empirical evidence from European companies DOI
Abir Akermi, Anis Ben Amar

EuroMed Journal of Business, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Purpose The objective of this research is to investigate the impact audit quality on CO2 disclosure in European companies. This article aims understand how attributes quality, such as auditor effort, permanence and independence, influence emissions. Design/methodology/approach A multiple regression analysis panel data was used. In addition, we applied fixed effect approach optimal most appropriate model for our main regression. control potential endogeneity problem analyse study depth, used two-stage Heckman model, least squares (2SLS) generalised method moments (GMM). Findings results clearly show that all explanatory variables have a significant disclosure. Furthermore, positive effort level However, tenure independence negatively affect Originality/value provides empirical evidence role different proxies corporate disclosure, which has been mainly neglected by previous studies not yet examined researchers. Thus, order provide an in-depth understanding emerging unprecedented idea, fills gap makes practical theoretical contribution existing literature governance environmental

Language: Английский

Citations

0
Environmental sustainability and technology as interconnected drivers of business model innovation in the agri-food industry: insights from multiple case studies DOI Creative Commons
Attilio Bruni, Francesca Magno, Fabio Cassia

et al.

Baltic Journal of Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

Purpose Business model innovation (BMI) plays a key role in accelerating the transition toward greater environmental sustainability agri-food industry. However, knowledge of mechanisms that activate BMI firms remains scarce. This study aims to clarify interdependencies between and new technologies as drivers BMI. It explores relationships these locus (i.e. internal and/or external firm) stimulus activating Design/methodology/approach An in-depth analysis 13 cases small- medium-sized have successfully introduced is performed, drawing on information collected through interviews with firms’ decision-makers. Findings The unveils behind activation firms. A framework combining proposed, highlighting paths Originality/value proposes an original outlines three main businesses: purpose-driven BMI, technology-exploration-driven compliance-driven

Language: Английский

Citations

0
Future-oriented trajectories of business model innovation for agri-food SMEs DOI Creative Commons
Attilio Bruni, Francesca Magno, Fabio Cassia

et al.

EuroMed Journal of Business, Journal Year: 2025, Volume and Issue: 20(5), P. 190 - 212

Published: March 13, 2025

Purpose Agri-food small and medium-sized enterprises (SMEs) must innovate their business models (BMs) to ensure sustainability in increasingly complex economic, social environmental scenarios. This study identifies promising future-oriented trajectories of model innovation (BMI) for these firms, highlighting the key roles new technologies goals. Design/methodology/approach adopted a qualitative approach combining long interview technique template analysis. Information was gathered from informants with extensive knowledge about agri-food sector. conducted Italy. Findings The analysis revealed multiple BMI each three components, namely, value creation, proposition capture. findings also indicate that some themes were common all including increasing importance partnership-based nature BMI, acting as driving force shaping concerns regarding well-being actors involved Research limitations/implications comprehensive view supply chain did not focus on specific perspectives at stage chain. Moreover, future studies should SMEs directly examine recent BMIs different countries. Originality/value is first adopt identify firms. In addition, it contributes reconciling previous sector highlights links between technology processes.

Language: Английский

Citations

0
Digitalization of Georgia’s Agro-Food Industry: Challenges and Opportunities for Sustainable Development DOI
Eter Kharaishvili, Ia Natsvlishvili, Tamar Lazariashvili

et al.

Springer proceedings in business and economics, Journal Year: 2025, Volume and Issue: unknown, P. 231 - 242

Published: Jan. 1, 2025

Language: Английский

Citations

0
Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review DOI Creative Commons
Muhammad Awais, Xiuquan Wang, Sajjad Hussain

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(5), P. 137 - 137

Published: May 6, 2025

The agricultural sector is evolving with the adoption of smart farming technologies, where Digital Twins (DTs) offer new possibilities for real-time monitoring, simulation, and decision-making. While previous research has explored Internet Things (IoT), UAVs, machine learning (ML), remote sensing (RS) in enhancing efficiency, a systematic approach to integrating these technologies within DTs ecosystem remains underdeveloped. This paper presents review 167 studies published between 2018 2025. objective this study examine recent advancements DTs-enabled precision agriculture propose comprehensive framework designing, integrating, optimizing farming. systematically examines current state DT adoption, identifies key barriers, computational efficiency challenges, provides step-by-step methodology implementation. sheds light on potential future direction implications policy, aim speed up DTs-based farm management systems their operational success commercial viability through analysis practical applications perspectives. an innovative strategy digital physical into important contribution existing literature.

Language: Английский

Citations

0