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Record W4320854509 · doi:10.5281/zenodo.7643614

Politics in the Implementation of Technology Strategy / Política en la implementación de estrategia tecnológica

2021· dissertation· es· W4320854509 on OpenAlexaboutno aff
Marc-Elliott Finkelstein

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedissertation
Languagees
FieldSocial Sciences
TopicScience, Technology, and Education in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceHumanitiesWelfare economicsEconomicsPhilosophyLaw

Abstract

fetched live from OpenAlex

Las organizaciones muestran una gran variabilidad en la implementación de sus estrategias tecnológicas, lo que supone un reto de gestión considerable. Existe un vacío teórico en la intersección entre la política y la implementación de la estrategia tecnológica. Se ha llevado a cabo un estudio de caso inductivo y exploratorio en tres organizaciones canadienses diferentes para explorar la relación entre la política y el fracaso en la implementación de la estrategia tecnológica. Se ha descubierto que había seis factores que contribuían a esta variabilidad: la forma de reconocimiento del rendimiento, la alineación organizativa de las actividades, la viabilidad de la declaración de misión/visión, la transparencia del proceso, la complexión de la gobernanza y la sofisticación en el desarrollo de la estrategia tecnológica. Aunque los factores se expresaron de forma diferente entre las organizaciones, la actividad política posibilitada por estos seis factores influyó significativamente en la variabilidad de la implantación, que osciló entre una variación de implantación casi nula y una variación de implantación superior al 100%. Por tanto, en la relación entre estas variables y la implementación de la estrategia tecnológica, existe una variable intermedia y dependiente identificable, el comportamiento político, que expresa una relación fuerte, lineal, monótona y positiva con las seis variables independientes. La variable comportamiento político tiene una relación fuerte, lineal, monótona y negativa con la segunda variable dependiente, el logro de la implementación de la estrategia tecnológica. A diferencia de los estudios existentes, los factores más ostensiblemente significativos fueron la viabilidad de la declaración de misión, la estructura de gobierno representativa y la transparencia de los procesos, que en conjunto establecen la dirección existencial de la organización, facultaron a los individuos para actuar en favor de la organización y no en interés propio, y arrojaron luz sobre todas las áreas de la organización para que las acciones políticas estuvieran sujetas al Efecto Foco en la medida de lo posible. Al reducirse el comportamiento político, aumentó la consecución de la estrategia tecnológica. A significant managerial issue, organizations exhibit large variance in the implementation of their technology strategies. There is an extant theory gap at the intersection of politics and technology strategy implementation. Inductive, exploratory case study research was conducted at three different Canadian organizations to explore the linkage between politics and technology strategy implementation failure. It was found that six factors contributed to this variance: manner of performance recognition, organizational alignment of activities, mission/vision statement achievability, process transparency, governance complexion and sophistication in technology strategy development. While the factors were expressed differently among the organizations, the political activity enabled by these six factors influenced the implementation variance significantly, ranging from nearly no implementation variance to more than 100% implementation variance. Therefore, in the relationship between these variables and technology strategy implementation, there is an identifiable intermediate, dependent variable, political behaviour, which expresses a strong, linear, monotonic, positive relationship with the six independent variables. The variable political behaviour has a strong, linear, monotonic, negative relationship with the second dependent variable, technology strategy implementation achievement. Departing from extant studies, the most ostensibly significant factors were mission statement achievability, representative governance structure, and process transparency, which collectively set out the existential direction of the organization, empowered individuals to act for the organization and not in self-interest, and shone a light on all areas of the organization so that political actions were subject to the Spotlight Effect to the extent possible. In the reduction of political behaviour, technology strategy achievement was increased.

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)0.016
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0050.010
Scholarly communication0.0150.005
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.027
GPT teacher head0.373
Teacher spread0.346 · 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.

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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