Bibliographic record
Abstract
Welcome to this second issue of Volume 33. This issue marks the inaugural debut of our technical editor, Gina Green, who has done a marvelous job taking the manuscripts from the point of acceptance to the point of publication. A special thanks is in order for Gina and also for Carrolle Kamperman, who provided Gina some welcome assistance. In addition, Laurie Schatzberg helped make the transition as smooth as possible. Preparing a manuscript for publication is quite an arduous task that requires a keen attention to details. We appreciate the efforts of Gina, Carrolle and Laurie to bring this issue together.We are pleased to include three papers, each one of which offers compelling data on an important IT topic, including IT Evaluation, IT Sourcing, and IT Service Quality. The papers offer an international perspective, with one based upon a survey of IT executives predominantly from the United Kingdom, one based upon a case study of a Canadian firm, and one based upon survey responses from IT users in the United States.The first paper, "Measuring Organizational Effectiveness: An Overview and Update of Senior Management Perspectives," by Seddon, Graeser, and Willcocks, provides a scintillating look at the methods currently used by organizations to evaluate IT projects, to evaluate a specific IT, and to evaluate the IT function. Using responses from senior IT managers in the Europe and the US, the authors examine ten questions related to IT evaluation. This paper should be of interest to both researchers and practitioners. In addition, for those who frequently face such questions from MBA students as "how should an IT application be evaluated?" this paper is a gem. One of the insights of the paper, is that the increased use of outsourcing has led to increased rigor of IT evaluation. This leads us nicely to the second paper in this issue.In "A Resource-Based Analysis of IT Sourcing," Roy and Aubert examine the relationship between the sourcing mode for IS, the value of the resources used in systems development activities, and the presence of the resources within the firm. The authors provide a framework based on the resource-based theory of the firm that helps explain when outsourcing is a desirable option versus when internal governance or partnerships are appropriate. The authors describe the case of Desjardins-Laurentian. The company tried two suppliers, experienced two failures, and eventually settled on internal governance and later, a partnership with a third supplie.The third paper in this issue, "Sources of Dissatisfaction in End-User Support: An Empirical Study" by Shaw, DeLone, and Niederman, explores the end-user support factors that correlate with user satisfaction. A unique aspect of this paper is that it divides end-users into various groups and offers a separate analysis of satisfaction for each group. Measuring service quality as the gap between perceived importance and performance for each support factor, the authors found that service quality gaps and user satisfaction vary across groups. The groups they considered were: faculty, non-IS staff, and students. Knowledge of the inter-relationships among group membership and factors influencing satisfaction can be useful in allocation decisions in the area of end-user support.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.010 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".