pith. sign in
Pith Number

pith:OBFL6PCW

pith:2026:OBFL6PCWKXREOZHYRPSYF3DOFO
not attested not anchored not stored refs resolved

Exploring Organizational Readiness and Ecosystem Coordination for Industrial XR

Anna Puhl, Efe Bozkir, Enkelejda Kasneci, Hasan Tarik Akbaba, S\"uleyman \"Ozdel

Barriers to scaling industrial XR have shifted from hardware limits to organizational readiness and misaligned incentives.

arxiv:2601.09045 v2 · 2026-01-14 · cs.HC · cs.CY

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OBFL6PCWKXREOZHYRPSYF3DOFO}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

critical constraints have shifted from technological maturity to organizational readiness (e.g., change management, key performance indicator alignment, and political resistance)... systemic misalignments between stakeholder incentives are the primary cause of friction preventing enterprise integration.

C2weakest assumption

The 17 expert interviews across technology providers, solution integrators, and industrial adopters sufficiently represent the full ecosystem and accurately identify the dominant barriers to scaling.

C3one line summary

Industrial XR adoption faces a 'Pilot Trap' where organizational readiness and stakeholder incentive misalignments now outweigh technology barriers, based on 17 expert interviews.

References

33 extracted · 33 resolved · 0 Pith anchors

[1] Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical Teams 2025 · doi:10.1016/j.glmedi.2025.100198
[2] N. Alam, N. Saha, V . Gadow, R. Harik, and J. Ryu. Role of ex- tended reality (xr) technologies in maintenance operations: Trends, challenges, and integration in industry 4.0.Manufacturing Letters, 44 2025 · doi:10.1016/j.mfglet.2025.06.174
[3] Why xr training programs get stuck in pilot 2025
[4] A. A. Badamasi, K. R. Aryal, U. U. Makarfi, and M. Dodo. Drivers and barriers of virtual reality adoption in uk aec industry.Engineering, Construction and Architectural Management, 29(3):1307–1318, ap
[5] doi: 10.1108/ECAM-09-2020-0685 2 2020 · doi:10.1108/ecam-09-2020-0685

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-05-18T03:10:11.330149Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

704abf3c5655e24764f88be582ec6e2b9f5e929d8ccdcce1b623d03ba1cc09b7

Aliases

arxiv: 2601.09045 · arxiv_version: 2601.09045v2 · doi: 10.48550/arxiv.2601.09045 · pith_short_12: OBFL6PCWKXRE · pith_short_16: OBFL6PCWKXREOZHY · pith_short_8: OBFL6PCW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OBFL6PCWKXREOZHYRPSYF3DOFO \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 704abf3c5655e24764f88be582ec6e2b9f5e929d8ccdcce1b623d03ba1cc09b7
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e357b8620772e6263f724c57349108a0625a97ba70b9086deabbed6a28735f6b",
    "cross_cats_sorted": [
      "cs.CY"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-01-14T00:21:53Z",
    "title_canon_sha256": "1795ca95ae07f29d08dfd73e9c624e90aac196101b8629b88a949455771b9c59"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.09045",
    "kind": "arxiv",
    "version": 2
  }
}