Beyond the transaction: exploring resources stewardship, relational connectedness and co-creation in B2B marketing
Bibliographic record
Abstract
Purpose This study aims to explore the interplay between resource stewardship, relational connectedness and value co-creation in business-to-business (B2B) marketing, addressing gaps in understanding how these elements collectively influence stakeholder relationships and organizational outcomes. Drawing on stewardship theory, social exchange theory and service-dominant logic, the study develops a model that highlights the synergies between ethical resource management, strategic relational engagement and co-creative value processes. Design/methodology/approach Using an abductive qualitative approach, the study focuses on the B2B service sector in an emerging economy. Data were collected through in-depth interviews with 30 management professionals and analyzed thematically, supported by a network view to visualize the interconnected dynamics. Findings Resource stewardship emerges as a key driver of trust and relational connectedness, which facilitates collaborative innovation and value co-creation. Relational connectedness enhances loyalty and cooperative problem-solving, while active participation in co-creation fosters shared ownership, satisfaction and long-term engagement. Research limitations/implications The study’s context-specific focus on an emerging economy limits broader applicability, suggesting future cross-industry, cross-cultural approach and quantitative validation. Originality/value This study presents an empirically grounded framework that advances theoretical understanding and offers practical insights for optimizing B2B marketing strategies through resource stewardship, relational connectedness and co-creative practices.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".