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Record W146942385

Enriching Planning through Industry Analysis.

2009· article· en· W146942385 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

VenuePlanning for higher education · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsRivalryStrategic planningHigher educationBargaining powerMarketingEconomicsPublic relationsBusinessService (business)Industrial organizationPolitical scienceEconomic growthMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The authors perform an 'industry analysis' for higher education, using the five forces model of M.E. Porter. Although strategic planning has fallen out of favor in many business organizations (Jelinek 1979; Welch and Welch 2005), it remains the primary means for strategy making on virtually every college campus in the United States. The higher education literature on strategic planning ranges from the conceptual (Peterson, Dill, and Mets 1997) to the practical, including step-by-step instructions for completing the process (Rowley, Lujan, and Dolence 1997). Strategic planning is an important tool, but higher education's sole dependence on it has come at the expense of other useful instruments in the strategy making process. For instance. Porter's (1980) five forces model, which sets the standard for industry analysis, can complement strategic planning and thus contribute to a more comprehensive organizational strategy. An industry analysis using Porter's model pays particular attention to five forces that influence any industry: threat of new entrants, intensity of rivalry, threat of substitutes, bargaining power of buyers, and bargaining power of suppliers. Current examples of the model's application vary from exploring leadership and differentiation in professional service firms (Ou and Chai 2007) to understanding the Internet's role in changing markets and entire industries (Karagiannopoulos, Georgopoulos, and Nikolopoulos 2005). In light of the ongoing interest in the five forces model in diverse fields outside of higher education, we ask two questions. First, does industry analysis provide insight into higher education? Second, does Porter's emphasis on the five forces sufficiently describe the environment in which higher education institutions function? In addition to answering these questions, we highlight where industry analysis complements and/or compares to strategic planning throughout the article. Applications of the Five Forces Model Academicians from a variety of disciplines have used Porter's five forces model to describe different industries. Ondersteijn, Giesen, and Huirne (2006) conducted an industry analysis using Porter's model to interpret the external context of Dutch dairy farming. Fratto, Jones, and Cassili (2006) employed it to better understand apparel retailers and price competition within the apparel industry. Siaw and Yu (2004) were interested in the impact of the Internet on banking competition. Pines's (2006) application of the model to emergency medicine allowed him to develop a set of recommendations for how players within the field - including emergency departments and physicians might better work together to strengthen their services and ultimately offer improved care. In an article about building a firm's lobbying strategy, Vining, Shapiro, and Borges (2005) used Porter's model to identify the environmental context in which the firm operates. Dobni and Dobni (1996) provide one of the few examples of an industry analysis in higher education planning. They applied Porter's model to Canadian university-based business schools and uncovered pathologies that were incompatible with the realities for which they were supposedly preparing their students. The relative absence of industry analysis in college and university planning suggests a need for more serious consideration and application in the field. A New Era for the Higher and Postsecondary Education Industry Peterson and Dill (1997) defined three eras that characterize the evolution of the higher education industry: traditional higher education, mass higher education, and postsecondary education. We contend that higher education has moved into a fourth era that brings with it immense pressure from organizations that in the past offered little competition for students and resources. International institutions now compete with U.S. colleges and universities for students. Corporations and private companies deliver training, education, or a mixture of the two. …

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.331
Teacher spread0.290 · 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