Economic impacts of in-house and packaged software investments: the influence of software investment opportunities
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.
Bibliographic record
Abstract
Purpose Software has become increasingly important in business. However, the value of aggregate in-house and packaged software investments and the influence of an industry's software investment opportunities (SIOs) are poorly understood in the literature. This study addresses this research gap and proposes that an industry's SIOs play an essential role in the economic impacts of industry in-house and packaged software investments. Design/methodology/approach A model of the economic impacts of in-house and packaged software investments at the industry level under different SIOs is developed and empirically tested based on a panel dataset of private industries in the USA between 1998 and 2020. Findings The results show that with the increase in the number of SIOs in an industry, the economic performance of in-house software investments increases, while that of packaged software investments decreases. Originality/value By highlighting the role of SIOs in moderating the economic performance of in-house and packaged software, this study shows the critical role of the information technology (IT) environment in understanding software's economic value.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it