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Record W1541702383 · doi:10.1109/hicss.2001.927173

Technology management for doing business in the knowledge based economy

2005· article· en· W1541702383 on OpenAlexaboutno aff
G.J. van der Pijl, P.M.A. Ribbers, Marion Smits

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Management and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsKnowledge managementScope (computer science)Information technologyThe InternetProcess (computing)Competitive advantageInformation systemTechnology managementCritical success factorBusinessComputer scienceMarketingEngineeringWorld Wide Web

Abstract

fetched live from OpenAlex

This minitrack is the continuation of the former minitrack on Technology Management: Systems and Processes. The purpose of the mini-track is to stimulate applications of systems sciences to the management of technology (MoT) by providing a forum for the exchange of new research findings and concepts related to MoT and the creation of value. The scope includes both systems for managing technology (cases and models of success, the identification of critical success factors in MoT) and the social and psychological factors, models, and processes of organizational change and technology implementation throughout the value chain. The unifying theme is that of managing technology strategically so that an organization creates value for its stakeholders and learns from its implementation of technologies, particularly information technologies.In their paper 'Physical Retailing takes on Internet Retailing: A Preliminary Model of Threats and Opportunities for the Book Industry' Kaarst-Brown and Evaristo present a model of Internet adoption based on perceived threats and opportunities in five categories. These five areas of potential threat or opportunity include perceptions about firm characteristics, web-retailing experience, the competitive environment, internal resources and external resources. They propose that the combination of these perceptions influence very specifically the choice to adopt, Internet presence, and the nature to strategy of the site.The paper 'Building the record keeping system. Process improvement triggered by management of Archival documents ' by van Bussel, Ector, van der Pijl and Ribbers is resulting from a research project at Tilburg University, the Netherlands, in which the fields of organization, information and archival studies have been integrated. We argue that the archivistic concept of the record keeping system, in information-intensive organizations, can be used as an instrument for improving the performance of the document-flow in a business process, and, as a result, on the process.Guest speaker Pauline Sheldon is Professor at the School of Travel Industry Management, University of Hawaii. She will talk about the application of IT in the tourism industry.In 'Aligning business and information technology through the Balanced Scorecard at a major Canadian financial group: its status measured with an IT BSC Maturity Model' van Grembergen and Saull describe the implementation of an IT balanced scorecard in a Canadian financial group.Finally Gottschalk and Solli-Saeder present ' Integration between Business Planning and Information SystemsPlanning: An Analysis of Technology Exploration and Exploitation in Different Value Configurations'. This paper evaluates ten integration mechanisms and four integration stages in Norwegian companies. Most of the organizations practiced sequential and reciprocal integration. Furthermore, this paper investigates technology exploration and exploitation in different value configurations.Thus, most papers focus on the way new information technologies can be aligned with the business needs. Remarkably the control process of IT does not get very much attention. Only one paper focuses on the balanced scorecard as a tool for controlling IT. This is in contrast with the large amount of interest for control frameworks like ITIL in the European situation and the growing importance of the COBIT framework for strategic control of IT in the field of IT auditing. At the end of this minitrack, we would like to discuss with the participants whether these trends need more attention in coming HICSS conferences.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.026
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.013
Scholarly communication0.0260.023
Open science0.0010.007
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0170.005

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 head0.020
GPT teacher head0.224
Teacher spread0.204 · 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.

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".

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Citations0
Published2005
Admission routes1
Has abstractyes

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