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Enregistrement W28631408 · doi:10.1111/cid.12510

The effect of information and communications technology (ICT) on franchisee to franchisor relationships

2012· dissertation· en· W28631408 sur OpenAlexvenueno aff
Clive Brooks

Notice bibliographique

RevueClinical Implant Dentistry and Related Research · 2012
Typedissertation
Langueen
DomaineBusiness, Management and Accounting
ThématiqueFranchising Strategies and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIntranetInformation and Communications TechnologyBusinessThe InternetFranchiseMarketingProfitability indexInformation technologySoftware deploymentEmpirical researchKnowledge managementEngineeringComputer scienceWorld Wide WebFinance

Résumé

récupéré en direct d'OpenAlex

Throughout the franchise industry, franchisors are increasingly introducing information and communications (ICT) technology into their franchise networks in attempts to save costs and increase efficiency, and are subsequently replacing their franchise support managers and preexisting, socially-rooted franchisor-to-franchisee relationships with computers. Because large and complex ICT franchise support and reporting systems are costly, it is vital for franchisors to be able call upon sound empirical research, of which there is currently a paucity, to assist them in judging whether such expensive technology-driven ICT strategies are likely to be worth the cost and effort, and indeed if they are, how to subsequently prepare for and handle any resulting changes in their relationships with their networks of franchisees. Even though there is rapidly escalating use of ICT systems in franchising worldwide, very little has been written about the way that such technological deployment within the industry has modified or affected the franchisee to franchisor relationship and network profitability. Therefore, this work seeks to make a contribution in this area. Multiple sources of data were collected (interview, observation and Intranet materials). Semistructured interviews were held with the CEO’s of two United Kingdom franchise systems, and with twenty-eight franchisees from one of these systems. The interviews were tape-recorded. Intranet materials made available by the case companies included franchise agreements, operations manuals, various Intranet resource files and other online management information. Visits to the Head Offices of both franchise systems provided the opportunity for direct observations and an understanding of the operating norms of the businesses. The initial interviews were transcribed and coded using Grounded Theory procedures, and then multiple follow-up interviews with fifteen of the franchisees were completed over a twelve-month period enabling the developing process of focused coding, conceptual categories and theoretical sampling to be carried out, which resulted in a Theory of Franchise Remote Control being revealed. The content of the resultant theory was then viewed through the context of extant franchising, relationship marketing and B2B literature. The results of this empirical grounded theory study, unusually carried out from the franchisee perspective, shows that franchisors must crucially recognise that virtual support delivered through an ICT system via online methods such as electronic updates, knowledge bases and email, plus a change in strategy to one of offering reactive rather than pro-active assistance, does not automatically result in successful technological implementation, however expensive or competent the ICT system is. Through the development of a complex Theory of Franchise Remote Control, this thesis reveals that for every time and cost-saving technological advance deployed through the ICT for their own benefit and ease, franchisors must advance a balancing social benefit for their franchisees. Equally importantly, franchisors embarking upon ICT introduction must understand that franchisees will accept newness and change only if they continue to feel valued. Valuing cannot be demonstrated through electronic means alone. It must be operationalised though the mechanisms of social bonding and the recognition of success.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,069
Tête enseignante GPT0,400
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2012
Routes d'admission1
Résumé présentoui

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