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Record W55454765

Outsourcing, Offshoring, Nearshoring: What to Do? Whether You Outsource Locally or Globally, You're Still Responsible for Client Privacy

2005· article· en· W55454765 on OpenAlexaboutno aff
Gary S. Shamis, M. Cathryn Green, Susan M. Sorensen, Donald L. Kyle

Bibliographic record

VenueJournal of accountancy online/Journal of accountancy · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOutsourcing and Supply Chain Management
Canadian institutionsnot available
Fundersnot available
KeywordsOutsourcingBusinessOffshoringService providerLiabilityConsolidation (business)Valuation (finance)Service (business)MarketingFinance
DOInot available

Abstract

fetched live from OpenAlex

EXECUTIVE SUMMARY * FANS OF OFFSHORE OUTSOURCING SAY it lowers labor costs; it's efficient; and it lets firms accept new work during periods of peak demand. * SOME LONG-TERM CONCERNS CPAs VOICE ARE: How will outsourcing affect the traditional CPA career path? How will it affect U.S. employees' training? How will accountants who do not perform the tasks associated with entry-level competencies develop true understanding of the services they provide? * FIRMS MUST DISCLOSE THEIR USE of third-party vendors to clients whether the outsource provider is located within U.S. borders or in a foreign country. * PROPONENTS SAY THE PROCESS IS MORE efficient, though firms lose the efficiency that develops when the same in-house staff members service a client from year to year. * OUTSOURCERS OFTEN USE FIREWALLS that are more secure than those used by many U.S. firms. But focus-group participants said they were uneasy about having their personal information sent 7,000 miles away. * BEFORE CONTRACTING WITH A PROVIDER, ask how it screens and monitors employees, how a system breach will be handled, where disputes will be resolved and what the firm's liability insurance covers. If there's a problem, liability will rest with the U.S. firm. ********** New ideas and services can change a business culture with astonishing speed. A generation ago few CPA firms offered business valuation, litigation support or retirement planning, yet those services are mainstream today. Equally common are formerly cutting-edge ideas such as flextime, cross-selling and firm consolidation. Now, as technology makes it easy to move data great distances, another innovation has its foot in the door. It's tax-preparation and financial-services outsourcing--called offshoring when the work is done overseas and nearshoring if it's done in Canada or Mexico. This article describes some pros and cons of business process outsourcing (BPO)--with the emphasis on work done out of the country-and suggests how interested firms of all sizes can research whether it's right for them. WHAT IS TAX OUTSOURCING? The tax-preparation outsourcing process is simple. A CPA firm staff member scans client documents, including W-2s, 1099s and K-1s, into a .pdffile saved in the network, then sends along the prior-year tax file to the outsource provider. The provider, in or outside the United States, then uploads all scanned documents and relevant tax files to a U.S. data center. Outsource workers access the documents via a Web browser, organize them into a Web-based file and prepare the returns. If the provider happens to be in India, chartered accountants using the U.S. firm's preferred tax software follow the same procedures and prepare the returns. Then the firm picks up the returns electronically and reviews and corrects them as needed. WHAT ARE THE GOOD POINTS? Proponents of tax outsourcing cite these virtues: It's efficient. Outsourcing provides seasonal labor without the overhead of permanent hires, which is particularly helpful to firms dealing with a staff shortage. Firms with enough people to handle busy season but that worry about a glut of unused hours the rest of the year may see a benefit, too. Indian providers, who are at work while U.S. workers are sleeping, may offer two- to three-day turnarounds during crunch time, quicker than most firms can deliver internally. Fred Shapss, CPA, partner at Rosen, Seymour, Shapss, Martin (RSSM) & Co., New York, says his firm has found tax offshoring helps relieve busy season overload. The firm outsourced about 150 of its 2003 individual returns to India and upped that number to about 600 returns (out of about 4,000) for 2004. It's a straightforward operation with no complexities he says. We get a 48-hour turnaround. But--like anything else--you have to monitor and manage the process. It lets firms handle more work. …

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 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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0040.009
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.295
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations17
Published2005
Admission routes1
Has abstractyes

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