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Record W1570191295

Understanding the work of top managers : a shadowing study of Canadian healthcare CEOs

2013· dissertation· en· W1570191295 on OpenAlexaboutno aff
Bart Johnson

Bibliographic record

VenueWarwick Research Archive Portal (University of Warwick) · 2013
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedWork (physics)Set (abstract data type)Public relationsPrivate sectorPublic sectorHealth careObservational studySociologyPolitical scienceBusinessEngineeringComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigates three research questions about the nature of managerial work:
\n(1) What do we know about the nature of managerial work?; (2) To what extent is the work of top managers in the public and private sectors different?; and (3) What are the ethical implications of using the shadowing method to study top managers?
\nThese three research questions are presented in three research papers.
\nThe first paper titled Historical developments in research on managerial work: A critical overview is a comprehensive literature review, which outlines how research on managing has evolved theoretically, methodologically, and empirically since inception. Identifying a number of gaps in the literature, this paper suggests that much could be gained if contemporary notions of practice are brought into the study of managerial work and increased attention were paid to the sociomaterial, situated, and gendered nature of managerial work.
\nThe second paper in this thesis, Is managing in the public and private sectors really 'different'? A comparative study of managerial work activities is based on the results of an observational study in which four Canadian healthcare CEOs were shadowed for a period of 12 weeks (488 hours). Using a set of structured categories set out by Mintzberg (1973) this paper examines the extent to which managerial work is similar and different in the public and private sectors by comparing results to an investigation conducted in the private sector. Through an analysis of work type, hours, location, activities, and contact patterns, this paper finds that there are
\nrelatively few differences between the work activities of public and private managers at the top manager level. Implications for future research, managerial practice, recruitment, education, and training are theorized.
\nThe third paper in this thesis, Ethical issues and dilemmas in shadowing research: Lessons from the field of managerial work, explores ethical situations that were encountered in this study. Informing research ethics and methodology literature, this paper outlines and critically evaluates the ethical process followed in this study of top managers. Dividing the ethics process into two phases, those addressed by ethics committees (procedural ethics) and those that revealed themselves in the field (ethics in practice), this paper illustrates that while useful, procedural ethics committees are unable to establish ethical practice in and of themselves. In response, this paper poses a number of suggestions as to how ethical practice can be attained through
\nreflexivity and contingency planning.
\nAs a collection of three independent, yet interrelated papers on the nature of managerial work, this thesis contributes to management theory, management practice, and the methodological study of management by: (1) Providing researchers with a new plateau from which managerial work can be studied and theorized; (2)
\nPresenting fresh empirical data and conceptualizations on what top managers do in practice; and (3) Offering insights as to how managerial work can be ethically and practically investigated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.265
Teacher spread0.169 · 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 designQualitative
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

Citations1
Published2013
Admission routes1
Has abstractyes

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