Development of a Digital Tool to Overcome the Challenges of Rural Food SMEs

Loo, Saskia van der; Chen, Liang; Edwards, Peter; Holden, Jennifer; Karamperidis, Stavros; Kollingbaum, Martin J.; Marqui, Angela Cristina; Nelson, John D.; Norman, Timothy J.; Piecyk, Maja; Pignotti, Edoardo

doi:10.1080/14702541.2014.994673

Cited by 8 publications

(3 citation statements)

References 4 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These localisation factors are more common in urban agglomerations favouring the creation of competitive clusters and I+R+D advances. However, there are cases of companies which, contrary to what the literature assumes, are located in remote zones like in Scotland 6 where digital tools facilitate SMEs expansion (Loo et al, 2015). Where new elements related with the importance of spatial loyalty are introduced, these theories are examined in a framework of firm territorial embeddedness (Granovetter, 1985;Pallarès-Barberà, 2004), defined on the basis of the incorporation of small and medium-sized businesses in a particular area and taking into account the social and cultural aspects of the company's location.…”

Section: Conceptual Framework 31 Localisation Factors Of the New Ecomentioning

confidence: 88%

Innovation, Spatial Loyalty, and ICTs as Locational Determinants of Rural Development in the Catalan Pyrenees

Vera

Tulla

2019

European Countryside

View full text Add to dashboard Cite

Information and communication technologies (ICTs) open up new possibilities for development in rural and mountain areas. ICTs are analysed as a factor attracting business and enabling a dispersion of economic activity that is usually concentrated in metropolitan areas. Rural and mountain areas have benefited from the increasing incorporation of ICT in companies because development strategies are now made viable, thus bringing local territories into global markets and vice versa. Competitiveness and the added value of local development companies are incorporated into the product through the value given to local identity factors. Other competitive localisation factors of these zones are lower localisation costs and spatial loyalty among companies in the cluster. On the other hand, there may be an a priori shortage of available skilled workers in these particular areas but this deficit could be balanced out by the small size of companies established in these zones. This paper describes several case studies of specific companies in the Catalan Pyrenees where parts of the productive process with the highest added value—like design, organisation, etc—are carried out, while manufacturing occurs in other countries. It also analyses activities and services offered by smart farms and in smart rural areas. ICTs are important for the educational and informative levels of the population and also for the establishment of new companies and services in rural and mountain areas.

show abstract

Section: Conceptual Framework 31 Localisation Factors Of the New Ecomentioning

confidence: 88%

Innovation, Spatial Loyalty, and ICTs as Locational Determinants of Rural Development in the Catalan Pyrenees

Vera

Tulla

2019

European Countryside

View full text Add to dashboard Cite

show abstract

“…Khana et al (2018) discusses about the potential of industrial robots and how cyber-physical systems can promote and effectively influence the optimal integration of robots in food manufacturing, thus reducing human errors and increase productivity. Loo et al (2015) aims to understand the issues and challenges associated with product distribution from rural SME's to the market and identify crucial parameters that can be corrected or optimized to minimize this hindrance and strengthen the supply chain. Iqbal et al (2017) limelight the various prospects of industrial robots in food sector and studies the kinematics, maintenance, credibility, quality and efficiency of robots to conclude how industrial robots have new opportunities in the food service sector.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling and analysis of key enablers of digital transformation in food SMEs using ISM and MICMAC approach

Chandrayan¹,

Jagtap²,

Dangayach³

et al. 2022

IJIE

View full text Add to dashboard Cite

The food business in India is the backbone of the country, meeting the fundamental human need of food for a large portion of the country's population while also exporting it to other countries. Small and Medium-sized enterprises (SME's) account for the major share of total food production, even though they lack the necessary technological infrastructure and operating standards. Due to COVID-19 crisis, the food sector has been obliged to resolve and upgrade to the new laws tralatitious by the government, which has significantly stimulated the long-awaited digital transformation of food SMEs in India. The purpose of this study is to identify and analyse the major enablers of digital transformation in food SMEs. The Interpretive Structural Modelling (ISM) methodology has been used to categorize the identified enablers of digital transformation, which further helps in identifying the most proactive enabler and assess the integration of other enablers in the technological paradigm.

show abstract

“…L'IdO est utile, notamment pour le suivi des objets expédiés, mais une connexion suffisamment rapide et fiable demeure des plus importants (Van der Loo et al 2015). Celle-ci permet non seulement la bonne gestion des entreprises, mais permet aussi au secteur public de livrer des services à distance.…”

Section: Le Rôle Facilitateur De L'ido Et Des Technologies De Communi...unclassified

Pourquoi seules les villes sont‐elles qualifiées d'intelligentes? Un vocabulaire du biais urbain

Shearmur

Charron

Pajević

2019

Canadian Geographies / Géographies canadiennes

View full text Add to dashboard Cite

Messages clés• La « ville intelligente » (ou « smart city ») fait désormais partie du langage courant. Ceci fait suite à d'autres désignations propres aux villes comme la ville créative ou la ville intelligente. • La fait d'utiliser des adjectifs comme « créative », « innovante » et « intelligente » pour désigner les villes laisse entendre que les zones rurales et périphériques ne sont ni créatives, ni innovantes, ni intelligentes. • Il n'y a aucune raison sur le plan technique ou social pour ne pas appliquer le terme intelligent à certaines zones rurales ou périphériques. Le fait de réserver ce terme aux villes exprime l'existence d'un biais urbain qu'il convient de dénoncer.Depuis 2010, le terme « ville intelligente » (ou « smart city » en anglais), terme vague qui renvoie à l'intégration croissante des technologies de l'information aux processus de gestion urbaine et, parfois, aux pratiques sociales et communautaires associées, est beaucoup utilisé. Or, l'adjectif « intelligent » n'est associé qu'aux villes: par implication les non-villes (soient les régions rurales ou périphériques) ne sont pas intelligentes. Dans cet article, nous décrivons comment le terme « ville intelligente » est utilisé et montrons que des processus semblables à ceux qui rendent les villes « intelligentes » se déploient en dehors des villes. Réserver l'adjectif « intelligent » aux villes reflète donc un biais, soit le même biais qui n'associe l'innovation et la créativité qu'aux villes. En tant que géographes, nous avons pris conscience de nos biais disciplinaires coloniaux et sexistes. Cet article démontre qu'un biais urbain demeure présent et il suggère d'en prendre conscience afin de modifier notre manière de penser les différents territoires. Mots clés : villes intelligentes, biais urbain, régions rurales ou périphériques, vocabulaire scientifiqueWhy is it only cities that are labelled smart? A vocabulary of urban bias Since 2010, the term "smart city" has become a buzzword, used in a vague way to denote the increasing integration of information technology into city management processes and to describe the social and community processes they enable. The adjective "smart" is, however, only applied to cities: by implication non-cities (i.e., rural and peripheral regions) are not smart. In this paper we describe how the term "smart city" is used, and show that processes similar to those that make cities smart also occur outside cities. Reserving the term "smart" for cities therefore reflects a bias, similar to the bias that associates creativity and innovation with cities. As geographers we have become aware of ourThe Canadian Geographer / Le Géographe canadien 2020, 64(2): 310-322

show abstract

Development of a Digital Tool to Overcome the Challenges of Rural Food SMEs

Cited by 8 publications

References 4 publications

Innovation, Spatial Loyalty, and ICTs as Locational Determinants of Rural Development in the Catalan Pyrenees

Innovation, Spatial Loyalty, and ICTs as Locational Determinants of Rural Development in the Catalan Pyrenees

Modelling and analysis of key enablers of digital transformation in food SMEs using ISM and MICMAC approach

Pourquoi seules les villes sont‐elles qualifiées d'intelligentes? Un vocabulaire du biais urbain

Contact Info

Product

Resources

About