Consumer demand for information accessible through automatic identification

Ulf Lindqvist (Corresponding Author), Liisa Hakola, Maija Federley, Mikko Laukkanen, Aino Mensonen, Anna Viljakainen

    Research output: Contribution to journalArticleScientificpeer-review

    5 Citations (Scopus)

    Abstract

    Packages are expected to carry ever more information in a limited space. One solution to this problem is automatic identification, i.e. adding elements to the package that can be linked to electronic information systems. The aim of this study was to find the best way to produce additional business for the value chain of packages via existing technologies for automatic identification. Automatic identification can give benefits in the form of cost savings, new business opportunities, additional value to existing business and increased customer loyalty to all players in the value chain. Available technologies are 2D bar codes, digital watermarks, image recognition, fibre matrix, radiofrequency identification tags and magnetic codes. Pilot tests and user studies showed that additional services offered via automatic identification should include detailed product data, recipes, nutrient needs and user instructions and should match user demand. Obstacles to use are costs, time consumption and complexity. In Japan, mobile barcodes are part of everyday life: well known to consumers and used on a flat‐rate basis. From the beginning, the introduction was based on consumer needs, not on early profit. Today, it operates on a win–win principle, with benefits for all the players in the value chain, and several traditional printers have created completely new service concepts for their customers.
    Original languageEnglish
    Pages (from-to)1-6
    Number of pages6
    JournalPackaging Technology and Science
    Volume25
    Issue number1
    DOIs
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed
    Event25th IAPRI Symposium on Packaging - Berlin, Germany
    Duration: 16 May 201118 May 2011

    Keywords

    • automatic identification
    • intelligent packages
    • hybrid media

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