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Record W6998709892

Applying the WWII Sabotage Manual to the IS Discipline: Are We Self-Sabotaging?

2025· article· en· W6998709892 on OpenAlexaff

Bibliographic record

VenueJournal of the Association for Information Systems · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsAgency (philosophy)Relevance (law)Action (physics)State (computer science)Information systemField (mathematics)World War II
DOInot available

Abstract

fetched live from OpenAlex

Since the birth of humanity, sabotage – the intentional action aimed at weakening a particular entity such as a state, an organization, a group of people, or an individual – has been present in virtually all areas of life. In the management context, this concept gained attention in the early 19th century during the infamous Luddite movement, when workers sabotaged machinery to protest against their employers who replaced manual labor with technology. Sabotage also plays a critical role in wartime, but such actions are generally shrouded in secrecy. Recently, the U.S. Central Intelligence Agency (CIA) declassified the Sabotage Field Manual developed by the Office of Strategic Services (the predecessor of the CIA) and used during World War Two to train prospective citizen-saboteurs in German-occupied Europe (Office of Strategic Services, 1944). In addition to instructions pertaining to direct physical sabotage – destroying and paralyzing critical equipment, resources, and industrial systems – the manual focuses on indirect sabotage performed by managers, supervisors, and other decision-makers to interfere with and impede critical production processes in organizations. We focus on the latter category of sabotage and compare the manual’s instructions with the key functioning principles within the information systems (IS) discipline. Information systems scholars have traditionally been concerned with the state and evolution of their discipline. For example, previous inquiries have examined the nature of the discipline’s publication venues, the practical relevance of academic research, and citation practices. We seek to productively contribute to that discourse by analyzing whether IS has successfully developed a robust scholarly system or has, perhaps inadvertently, engaged in forms of self-sabotage. To do so, we draw upon our observations and experience in academia as well as debates among IS scholars such as those in CAIS (Kautz, 2018). We discuss how several instructions in the Sabotage Manual relate to behaviors, academic activities, and debates in the IS discipline. For example, Instruction 1 recommends to: Insist on conducting all activities through formal channels and avoid shortcuts that might expedite decision-making. When it comes to IS research, this occurs when reviewers insist on impossible levels of generalizability, realism, and precise measurement control in quantitative research. Instruction 2 recommends to: Bring up irrelevant issues and ask endless questions. The debates among IS scholars on whether IS is a Science and the relevance of IS research are prime examples of this. Instruction 3 says to: Haggle over precise wording in every document. Our failure to agree on a common definition for “Information System” is an example here. Instruction 4 states: Express concern about jurisdictional issues and policy contradictions. IS scholars apply this instruction by questioning the origins of our discipline and whether it has a core theory. Instruction 5 is: Provide incomplete or misleading instructions during employee training. An example here is that faculty request that IS research should strive to influence other fields but then only reward IS core citations in T&P processes. These are just a few examples, and there are more relating to research, teaching, and service, which we have identified and will discuss in the presentation.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.015
GPT teacher head0.336
Teacher spread0.322 · 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.

Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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