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Record W28631408 · doi:10.1111/cid.12510

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

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

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2012
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicFranchising Strategies and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsIntranetInformation and Communications TechnologyBusinessThe InternetFranchiseMarketingProfitability indexInformation technologySoftware deploymentEmpirical researchKnowledge managementEngineeringComputer scienceWorld Wide WebFinance

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.400
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2012
Admission routes1
Has abstractyes

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