Authors:
M. Jevšnik Department of Sanitary Engineering, College of Health Studies, University of Ljubljana Poljanska 26a, SI-1000 Ljubljana. Slovenia

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V. Hlebec Faculty of Social Sciences, University of Ljubljana Kardeljeva ploščad 5, SI-1000 Ljubljana. Slovenia

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P. Raspor Chair of Biotechnology, Department of Food Science and Technology, Biotechnical Faculty, University of Ljubljana Jamnikarjeva 101, SI-1000 Ljubljana. Slovenia

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The objectives of the study were twofold, i.e. to evaluate methodological approaches of analyzed papers and to identify, cluster, and classify barriers to HACCP system implementation using meta-analysis as methodological tool. Hazard Analysis and Critical Control Point (HACCP) is a science-based system of risk management designed to control food safety. HACCP is based on seven basic principles, which present an important tool in combating food borne disease. Articles for analysis were initially selected in the major on-line database for the field, namely “Food Science and Technology Abstract”. Other databases were also used, including Commonwealth Agricultural Bureau and Co-operative Online Bibliographic System and Services. Selection was based on scientific excellence of the journal as well as on the method applied within the study. Main keywords to select appropriate scientific and technical articles were “HACCP”, “barrier” and “implementation”. Main results of methodological inquiry revealed that the most frequent methods used in scientific articles were quantitative ones. Among qualitative methods, the “narrative interview” was used most often, while among quantitative methods survey was used most frequently. Whereas narrative interview enables in-depth analysis of implicit role of individual actor in HACCP system, survey methods estimate frequency distributions of particular behaviours or attitudes in observed population. Lately, when analyzing implicit role of an individual in ensuring food safety, a psychological approach became important. The main goal of methodological analysis is to propose advances in research models that would tackle both qualitative and quantitative issues at the same time and offer new insights into barriers in HACCP system implementation. After analyzing the barriers to efficiency of the system, we identified elements that enabled us to cluster barriers into groups and identify the influence of specific elements on HACCP system efficiency. This paper is offering a novel approach to terminological classification of identified barriers, which will open new dimensions in assuring common language among food safety professionals in the future.

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Senior editors

Editor(s)-in-Chief: András Salgó

Co-ordinating Editor(s) Marianna Tóth-Markus

Co-editor(s): A. Halász

       Editorial Board

  • L. Abrankó (Szent István University, Gödöllő, Hungary)
  • D. Bánáti (University of Szeged, Szeged, Hungary)
  • J. Baranyi (Institute of Food Research, Norwich, UK)
  • I. Bata-Vidács (Agro-Environmental Research Institute, National Agricultural Research and Innovation Centre, Budapest, Hungary)
  • F. Békés (FBFD PTY LTD, Sydney, NSW Australia)
  • Gy. Biró (National Institute for Food and Nutrition Science, Budapest, Hungary)
  • A. Blázovics (Semmelweis University, Budapest, Hungary)
  • F. Capozzi (University of Bologna, Bologna, Italy)
  • M. Carcea (Research Centre for Food and Nutrition, Council for Agricultural Research and Economics Rome, Italy)
  • Zs. Cserhalmi (Food Science Research Institute, National Agricultural Research and Innovation Centre, Budapest, Hungary)
  • M. Dalla Rosa (University of Bologna, Bologna, Italy)
  • I. Dalmadi (Szent István University, Budapest, Hungary)
  • K. Demnerova (University of Chemistry and Technology, Prague, Czech Republic)
  • M. Dobozi King (Texas A&M University, Texas, USA)
  • Muying Du (Southwest University in Chongqing, Chongqing, China)
  • S. N. El (Ege University, Izmir, Turkey)
  • S. B. Engelsen (University of Copenhagen, Copenhagen, Denmark)
  • E. Gelencsér (Food Science Research Institute, National Agricultural Research and Innovation Centre, Budapest, Hungary)
  • V. M. Gómez-López (Universidad Católica San Antonio de Murcia, Murcia, Spain)
  • J. Hardi (University of Osijek, Osijek, Croatia)
  • H. He (Henan Institute of Science and Technology, Xinxiang, China)
  • K. Héberger (Research Centre for Natural Sciences, ELKH, Budapest, Hungary)
  • N. Ilić (University of Novi Sad, Novi Sad, Serbia)
  • D. Knorr (Technische Universität Berlin, Berlin, Germany)
  • H. Köksel (Hacettepe University, Ankara, Turkey)
  • K. Liburdi (Tuscia University, Viterbo, Italy)
  • M. Lindhauer (Max Rubner Institute, Detmold, Germany)
  • M.-T. Liong (Universiti Sains Malaysia, Penang, Malaysia)
  • M. Manley (Stellenbosch University, Stellenbosch, South Africa)
  • M. Mézes (Szent István University, Gödöllő, Hungary)
  • Á. Németh (Budapest University of Technology and Economics, Budapest, Hungary)
  • P. Ng (Michigan State University,  Michigan, USA)
  • Q. D. Nguyen (Szent István University, Budapest, Hungary)
  • L. Nyström (ETH Zürich, Switzerland)
  • L. Perez (University of Cordoba, Cordoba, Spain)
  • V. Piironen (University of Helsinki, Finland)
  • A. Pino (University of Catania, Catania, Italy)
  • M. Rychtera (University of Chemistry and Technology, Prague, Czech Republic)
  • K. Scherf (Technical University, Munich, Germany)
  • R. Schönlechner (University of Natural Resources and Life Sciences, Vienna, Austria)
  • A. Sharma (Department of Atomic Energy, Delhi, India)
  • A. Szarka (Budapest University of Technology and Economics, Budapest, Hungary)
  • M. Szeitzné Szabó (National Food Chain Safety Office, Budapest, Hungary)
  • S. Tömösközi (Budapest University of Technology and Economics, Budapest, Hungary)
  • L. Varga (University of West Hungary, Mosonmagyaróvár, Hungary)
  • R. Venskutonis (Kaunas University of Technology, Kaunas, Lithuania)
  • B. Wróblewska (Institute of Animal Reproduction and Food Research, Polish Academy of Sciences Olsztyn, Poland)

 

Acta Alimentaria
E-mail: Acta.Alimentaria@uni-mate.hu

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2023  
Web of Science  
Journal Impact Factor 0,8
Rank by Impact Factor Q4 (Food Science & Technology)
Journal Citation Indicator 0.19
Scopus  
CiteScore 1.8
CiteScore rank Q3 (Food Science)
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SJR index 0.235
SJR Q rank Q3

Acta Alimentaria
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Acta Alimentaria
Language English
Size B5
Year of
Foundation
1972
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia    
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0139-3006 (Print)
ISSN 1588-2535 (Online)

 

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