Wim Verbeke , Mariam Amadou Diallo , Coby van Dooremalen , Marten Schoonman , James H. Williams , Marie Van Espen , Marijke D’Haese , Dirk C. de Graaf
{"title":"European beekeepers’ interest in digital monitoring technology adoption for improved beehive management","authors":"Wim Verbeke , Mariam Amadou Diallo , Coby van Dooremalen , Marten Schoonman , James H. Williams , Marie Van Espen , Marijke D’Haese , Dirk C. de Graaf","doi":"10.1016/j.compag.2024.109556","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the adoption of Digital Beehive Monitoring Technology (DBMT) based on a survey with 844 beekeepers across 18 European countries, shedding light on their characteristics, current usage patterns, expected benefits, and the determinants influencing technology adoption. Notably, 79.1 % of beekeepers had yet to embrace any form of digital monitoring, while 20.9 % engaged in limited monitoring, primarily focused on hive weight. The perceived benefits of DBMT were explored, with hive management facilitation, colony health enhancement, winter loss reduction, and time-saving emerging as primary expectations. A quarter of beekeepers expressed uncertainty regarding these anticipated benefits, underscoring the need for increased awareness and education about the advantages of DBMT. Logistic regression is used to uncover key determinants influencing DBMT adoption, emphasizing the role of professionalism, regional disparities, and active participation in beekeepers’ associations. The application of the Theory of Planned Behaviour (TPB) through Structural Equation Modelling reinforced the central role of beekeepers’ personal attitudes in shaping their intention to adopt DBMT, with social norms and perceived behavioural control providing complementary albeit minor influences. The findings imply that hobbyist beekeepers may be more involved in beekeeping as a nature-centric activity, whereas professional beekeepers demonstrate a greater inclination toward digitalisation. With the so-called social tipping point of 25 % for technology adoption being almost reached, this study provides a timely empirical perspective on the European beekeeping sector’s evolution towards digitalisation, so-called Apiculture 4.0.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169924009475","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the adoption of Digital Beehive Monitoring Technology (DBMT) based on a survey with 844 beekeepers across 18 European countries, shedding light on their characteristics, current usage patterns, expected benefits, and the determinants influencing technology adoption. Notably, 79.1 % of beekeepers had yet to embrace any form of digital monitoring, while 20.9 % engaged in limited monitoring, primarily focused on hive weight. The perceived benefits of DBMT were explored, with hive management facilitation, colony health enhancement, winter loss reduction, and time-saving emerging as primary expectations. A quarter of beekeepers expressed uncertainty regarding these anticipated benefits, underscoring the need for increased awareness and education about the advantages of DBMT. Logistic regression is used to uncover key determinants influencing DBMT adoption, emphasizing the role of professionalism, regional disparities, and active participation in beekeepers’ associations. The application of the Theory of Planned Behaviour (TPB) through Structural Equation Modelling reinforced the central role of beekeepers’ personal attitudes in shaping their intention to adopt DBMT, with social norms and perceived behavioural control providing complementary albeit minor influences. The findings imply that hobbyist beekeepers may be more involved in beekeeping as a nature-centric activity, whereas professional beekeepers demonstrate a greater inclination toward digitalisation. With the so-called social tipping point of 25 % for technology adoption being almost reached, this study provides a timely empirical perspective on the European beekeeping sector’s evolution towards digitalisation, so-called Apiculture 4.0.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.