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Record W3177512287 · doi:10.5267/j.ijdns.2021.5.002

The role of organizational capabilities on e-business successful implementation

2021· article· en· W3177512287 on OpenAlex
Rima Kabrilyants, Bader Yousef Obeidat, Muhammad Turki Alshurideh, Ra’ed Masa’deh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Data and Network Science · 2021
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsKnowledge managementOrganizational learningOrganizational performanceBusinessSample (material)Organizational behavior and human resourcesProcess managementComputer science

Abstract

fetched live from OpenAlex

This study sought to investigate the role of organizational capabilities on e-business successful implementation. The proposed conceptual framework was tested on a sample of 16 Jordanian companies with an online involvement, and a total of 263 valid returns were obtained in a questionnaire based survey. The results provide quite a strong support for the hypothesized relations: organizational capabilities, namely learning organizational capabilities and IT capabilities have significant impact on e-business implementation success. However, no statistical support was found for the significant impact of the knowledge management capabilities on e-business successful implementation. This study implies that the policy-makers should focus on formulating policies and targeting appropriate organizational capabilities to ensure effective e-business implementation, which will eventually yield positive results for the company as a whole. An organization needs a well-designed IT infrastructure to create and maintain the organizational knowledge deriving from organizational learning capabilities and enabling IT assimilation. In light of these results, the research presented many recommendations for future research and a set of limitations.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.001
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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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