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Record W4410806268 · doi:10.1080/08853134.2025.2502168

Selling and sales management for successful servitization: a systematic review and research agenda

2025· review· en· W4410806268 on OpenAlexaff
Christian Kowalkowski, Victoria Kramer, Sertan Eravci, Anna Salonen, Wolfgang Ulaga

Bibliographic record

VenueJournal of Personal Selling and Sales Management · 2025
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsEngineering Link (Canada)
FundersMarcus och Amalia Wallenbergs minnesfond
KeywordsBusinessMarketingAccountingPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Servitization—the shift from product to service-centric business models—has attracted widespread attention, yet best practices for selling services and transforming the salesforce remain unclear. In response, this study systematically reviews the literature on selling and sales management for servitization. Analyzing 66 articles across 21 journals, we identify three key themes: customer engagement throughout the purchase journey, skills and abilities of selling actors, and sales management support. Our integrative framework highlights how the selling of services and solutions necessitates a collaborative, cross-functional process of customer engagement across various stages of the journey. Ideally, this engagement fosters recurring cycles with loyalty loops, driven by proactive customer success management. We also present a comprehensive research agenda with four key themes bridging critical gaps in current knowledge. From a managerial perspective, our review underscores that servitization necessitates extensive organizational changes beyond the sales function, affecting not only what firms sell but also how they sell.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.083
GPT teacher head0.361
Teacher spread0.278 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations9
Published2025
Admission routes1
Has abstractyes

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