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Record W3212974467

Development Model of Strategic Alignment of Business and Information Technology

2013· article· en· W3212974467 on OpenAlexaboutno aff
Neda Abdolvand, Mohammad Mehdi Sepehri, Vahid Baradaran

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsStrategic alignmentCategorizationStructural equation modelingStrategic managementBusinessStrategic planningKnowledge managementProcess managementPath (computing)Industrial organizationMarketingComputer scienceStrategic financial managementArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Strategic alignment is the extent to which business strategy, and information technology (IT) strategy, business structure and IT structure are fit. The factors affecting the business-IT strategic alignment has been studied in several previous researches. Most of the studies have been conducted in developed countries particularly the USA and Canada. There is a debate in the literature that we should investigate the business-IT alignment theories in various countries with different cultures and environments. This brings the capability of theory generation. In this research, we first investigate the literature to extract the antecedents. Then, we categorize them and develop a theoretical model as a path diagram of a structural equation model. We aim to empirically investigate if these antecedents are effective in the strategic alignment in a developing country. For this purpose, we run the survey-based questionnaire and analyze the models based on PLS-SEM. Based on the results; there is a difference between factors affecting the business-IT strategic alignment in the developed countries and a developing country.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.010
GPT teacher head0.187
Teacher spread0.176 · 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
Published2013
Admission routes1
Has abstractyes

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