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Horizontal and Vertical Interpersonal Processes of Middle Managers and Business Unit Ambidexterity

2024· article· en· W4400442066 on OpenAlexaff
Sebastian Fourné, Lotte Glaser

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAmbidexterityUnit (ring theory)BusinessStrategic business unitInterpersonal communicationHorizontal and verticalProcess managementOperations managementKnowledge managementPsychologyMarketingComputer scienceGeologySocial psychologyEngineering

Abstract

fetched live from OpenAlex

Although scholars have developed structural and contextual perspectives in research on organizational ambidexterity, little is known about more direct ways in which middle managers (MMs) responsible for business units (BUs) address challenges associated with pursuing exploration and exploitation simultaneously within their BUs. Drawing on and extending research on MMs’ work relationships, we examine how different horizontal and vertical interpersonal processes among MMs and with corporate top managers (TMs) contribute to ambidexterity at BUs. Importantly, we reveal that the relationship of horizontal knowledge exchange among MMs and BU ambidexterity depends on the specific quality of vertical interpersonal processes as integrative bargaining complements and cognitive flexibility undermines this relationship. Our results have implications for our understanding about the joint involvement of middle and top managers in executing complex strategies in multi-unit organizations. Moreover, this study provides guidance for MMs to leverage the complementarities of horizontal boundary-spanning and vertical interpersonal processes while avoiding the pitfalls of engaging in both.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.284
Teacher spread0.241 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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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