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Record W2073021585 · doi:10.1108/jbim-04-2012-0071

Antecedents and consequences of using information from customers involved in new service development

2014· article· en· W2073021585 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 Business and Industrial Marketing · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsYork University
Fundersnot available
KeywordsBusinessMarketingService (business)Context (archaeology)OriginalitySurvey data collectionValue (mathematics)Variety (cybernetics)Information systemKnowledge managementComputer scienceQualitative research

Abstract

fetched live from OpenAlex

Purpose – The current research aims to analyze antecedents and consequences of using the information provided by customers involved in new service development (NSD). It also seeks to examine the moderating effect of technological turbulence on the antecedents and consequences of information use. Design/methodology/approach – Data were collected from service firms in a variety of industrial sectors. Unit of analysis was a NSD project in which current or potential customers were involved during its development process. A self-administered mail survey was used to collect the data. A total of 102 complete questionnaires were returned. The proposed model was tested using partial least squares. Findings – The results indicate that the instrumental use of the information collected from customers involved in NSD can lead to higher service advantage and service newness and in turn to higher market performance. Findings reveal that higher recording and reviewing of information collected from customers involved in NSD result in greater use of the information during the NSD process. An important result is that under technologically turbulent environments, recording and reviewing information from customers involved in NSD is less likely to result in a higher instrumental use of such information. Finally, the authors' results show that when technological turbulence is high the instrumental use of information from customers involved in NSD has lower value for both service advantage and service newness. Originality/value – Findings confirm the importance of customer involvement for NSD in a business context. Using the information from customers involved in NSD to resolve specific problems or make decisions regarding NSD projects can result in enhanced service performance. Moreover, information processing capabilities are key antecedents to instrumental information use. Finally, managers should be aware of the potential negative effect of technological turbulence.

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)0.001
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 score0.302
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.051
GPT teacher head0.233
Teacher spread0.182 · 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