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Record W192153459

Always Aggressive, Always Wal-Mart: What Makes Wal-Mart Keep Coming Back and Back to Financial Services? and Is "Wal-Mart Paranoia" Psychosomatic or Justifiable? (Cover Story)

2003· article· en· W192153459 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueABA banking journal · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinance, Markets, and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsLeaseFinanceBusinessService (business)SignagePaymentAdvertisingMarketing
DOInot available

Abstract

fetched live from OpenAlex

Dan Stevens was flabbergasted. Stevens is chairman, president, and CEO of Home Federal Savings, a $435 million-assets thrift based in Nampa, Idaho, that has made aggressive use of Wal-Mart branches. Starting about two years ago, Home Federal opened the first four of nine locations in Wal-Marts. opportunities didn't just drop into the bank's lap. For most locations, Home Federal had to bid both by lease payment and up-front key money against as many as eight other organizations to obtain some of these in-store sites. In exchange for the money, and the investment in facilities, the savings institution obtained the standard Wal-Mart 15-year bank branch lease. The payoff? Mixed to date, says Stevens. The stores have provided the traffic that Home Federal was hoping for, but only two of its Wal-Mart locations are near breakeven after two years. Some have a ways to go yet, and some have been closed because Home Federal found it just couldn't crack the local market with only an in-store branch that was permitted minimal outdoor signage by landlord Wal-Mart. But none of that accounts for why Stevens was flabbergasted. What does is this. Stevens learned, a few weeks before being interviewed for this article, that Wal-Mart bought too much land when it built several of the Wal-Mart Supercenters in which Home Federal leases branches. To cut costs, Wal-Mart sold the land to Washington Mutual, which plans to open three full-service branches on these properties. Stevens, envisioning his nearly invisible, limited-service in-store branches going up against full-scale WAMUs, acknowledges that there was no promise that they wouldn't do that kind of thing. Yet, he says ruefully, thought we were partners with them. Watch that handshake Partnership is an uneven quality with Wal-Mart, going by the experiences of the handful of Wal-Mart bankers interviewed. Corporately, Wal-Mart appears to have had little to do with its bank tenants other than taking their money. Their focus has been to ensure that financial services are available to their customers, says John Nicola, senior vice-president, sales, for IBT, an in-store banking consultancy based in Norcross, Ga. Initially, the leasing arrangements were Wal-Mart's reaction to customer research indicating the desire for in-store financial services as part of the retailer's one-stop shopping appeal, Nicola says. These don't grow into the size of traditional branches, and any banker who thinks otherwise is kidding himself, says Gary Dorris, president and CEO of $1.4 billion-assets First National Bank Holding Co., Scottsdale, Ariz. First National has 20 Wal-Mart branches in Arizona and Nevada, and Dorris says the degree of cooperation and interaction varies store by store. On the other hand, Ron Heaton, president and CEO of State Bank of Southern Utah, a $316 million-assets bank with three Wal-Mart branches is more satisfied. He has even been able to bring in loaner vehicles from local dealers to place near his Wal-Mart branches when promoting auto loans (see photo, previous page). There have been signs, however, for all Wal-Mart tenant banks to see, that the relationship with Wal-Mart headquarters in Bentonville, Ark., only went so far. In September 2001--a date of demarcation among bankers operating the 908 leased branches located in Wal-Marts--a letter went out to all of them describing, in general terms, Wal-Mart's intention to bring banking services to more of its branches in partnership with an unnamed financial institution. As always, Wal-Mart remains committed to the existing relationships and agreements with our bank tenants, the confidential letter stated. We value the services you provide to our customers. The arrangement hinted at in the letter turned out to be a deal with Toronto-Dominion Bank's U.S. operation--subsequently shot down by the regulators. …

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.219
Teacher spread0.196 · 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