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Record W7132151959

Bosch China: Building a Coaching Culture

2024· other· en· W7132151959 on OpenAlexaff
Siew Kim Jean Lee, Liman Zhao

Bibliographic record

VenueCEIBS Institutional Repository · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsCoachingChinaAction (physics)Organizational cultureIdentity (music)Investment (military)
DOInot available

Abstract

fetched live from OpenAlex

This case delves into the journey of Bosch (China) Investment Co., Ltd. (hereinafter “Bosch China”) as it looked to establish a coaching culture across three distinct phases: “initiation, development, and one step further”. It presents the background, challenges, reflections, and strategies entailed in this pursuit while exploring the way forward for its coaching culture as Bosch China approached the fifth anniversary of its Coach Club. In mid-2016, Bosch China introduced the “Coaching Practice of Leadership” course to facilitate its transition from traditional manufacturer to IoT-oriented tech firm while nurturing the required talents. However, the initiative met skepticism from executives right from inception. Through partnerships with external coaches, engagement of internal business executives, and operations of the coach club, Bosch China managed to get more and more employees to embrace the concept of “coaching”. As the company continued its journey, industry changes and pandemic disruptions posed substantial challenges, prompting Bosch Group to scale back China investments. Faced with slashed training budgets, Bosch China internalized coaching courses. It introduced team coaching to extend the reach of coaching leadership to a broader group of mid-level managers and business divisions. While the coaching culture took shape, the company made several trade-offs, exemplified in sections like “local identity vs. global alignment”, “independence vs. ICF accreditation”, and “taking proactive action vs. responding to needs”. After five years of exploration, Bosch China’s efforts to foster a coaching culture yielded tangible outcomes. Internally, this practice garnered recognition from executives like Han Dongli, Vice President of Bosch Intelligent Manufacturing Solutions China, and contributed to business growth in the divisions concerned. Externally, it earned accolades like the Ram Charan Management Practice Award and the ICF Germany Prism Award. Nevertheless, internal skepticism regarding the implementation of the coaching culture persisted. Some business executives viewed it as a mere garnish and argued that, given the significant business pressure, the company should prioritize skill training and employee development over pursuing a coaching culture. On November 15, 2021, Rosa Lee, Executive Vice President responsible for human resources management, received an invitation from Bosch's German headquarters to summarize her experiences of establishing a coaching culture at Bosch China and to promote it to a broader audience. The tension between advocates and detractors of coaching culture left Rosa Lee deep in thought: How should she demonstrate her experience building a coaching culture at Bosch China? Could it be replicated at HQ or within other organizations? What would be the essential conditions and steps for such an endeavor?

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0230.012
Scholarly communication0.0070.005
Open science0.0010.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.010
GPT teacher head0.266
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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