Author
Dmitry Zharnikov
Recent research
- Society & EconomicsOpen access
Organizational verification is representable as an orthogonal projection whose rank bounds what an organization detects about itself, but that formalization assumes one evaluator per acceptance test and supplies no procedure for estimating the projection. This paper establishes w...
- Society & EconomicsOpen access
Machine systems now produce results faster than readers absorb them, and machine-generated summaries are widely observed to emphasize the wrong material. This paper argues the failure is structural, not one of model capability. Given only prose, a renderer can weight content by p...
- AI & ComputingOpen access
Machine-extracted argument structures are increasingly read as evidence about how fields move, so measurement error entering at extraction propagates into whatever is built on the extracted graph. In a prior pre-registered run, two machine operators did not recover the dependency...
- AI & ComputingOpen access
Content analysis in organizational research depends on inter-coder reliability, but human coding is slow and costly and single-model LLM coding is unauditable. This paper specifies a blinded multi-LLM content-coding instrument: several large language models independently code the...
- Society & EconomicsOpen access
An acquisition is not a monolithic transfer of a firm but a bundle of tier-level transfers, and integration risk arises when the bundle severs a dependency that day-to-day operation requires. This paper develops a compositional grammar for that structure over the six-tier acquisi...
- Society & EconomicsOpen access
An acquisition is not a monolithic transfer of a firm but a bundle of tier-level transfers, and integration risk arises when the bundle severs a dependency that day-to-day operation requires. This paper develops a compositional grammar for that structure over the six-tier acquisi...
- Society & EconomicsOpen access
Post-acquisition integration outcomes remain hard to predict at signing: meta-analysis attributes their variance to unidentified moderators, yet the field lacks a structural, pre-close, checkable predictor. This study tests, confirmatorily and at large N, whether a closing-time c...
- AI & ComputingOpen access
Content analysis in organizational research depends on inter-coder reliability, but human coding is slow and costly and single-model LLM coding is unauditable. This paper specifies a blinded multi-LLM content-coding instrument: several large language models independently code the...