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Exploring Correlates of Product Launch in Collaborative Ventures: An Empirical Investigation of Pharmaceutical Alliances

2009· article· en· W2052412225 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Product Innovation Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategy and Innovation
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsBusinessMarketingProduct (mathematics)General partnershipMultinomial logistic regressionNew VenturesNew product developmentAsset (computer security)Industrial organizationPharmaceutical industryEntrepreneurshipFinance

Abstract

fetched live from OpenAlex

This paper examines collaborative ventures leading toward the launch of new products in the pharmaceutical industry. These collaborative ventures are one of the most underresearched areas in the new product literature, yet the preponderance of these collaborative ventures makes it an area of great importance for scholars and practitioners alike. As such, the purpose of the study is to examine why some collaborative projects produce a favorable outcome (the launch of a product) whereas others do not. That is, what characteristics of partner firms in the collaborative ventures and what characteristics of the partnership lead to a successful launch of a new product in the pharmaceutical industry? Secondary data from the pharmaceutical industry are employed in a multinomial logit model. Data from 128 collaborative ventures from 1980 to 2004 are used in the analysis. The partner firms in the collaborative ventures are from various industries ranging from malt beverages to pharmaceutical preparations to electronic and other equipment among others. Of the 128 collaborative ventures, 66 were successful in leading to a new product launch, whereas 62 did not result in the launch of a new product. The results from the multinomial logit analysis suggest that combined marketing resources of parent companies, combined technological intensity of parent companies, and combined asset bases of parent companies contribute to the likelihood of an eventual product launch in a collaborative venture. However, the results of the analysis show that contrary to expectations, technological complementarity of partners in the collaborative venture is not a significant predictor of successful new product launch. The results of the study suggest certain aspects for managers to consider when establishing collaborative ventures. To maximize the possibilities of the collaborative venture leading to the successful launching of a new product, managers should be concerned with the resources potentially available to partners in the collaborative venture from parent firms. These resources are not only of financial nature but also of technological nature. The existence of these resources does not ensure provision of resources to the collaborative venture; however, without the possibility of these resources it appears that successful launch of a product is less likely.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.135
GPT teacher head0.337
Teacher spread0.202 · 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