{"schema_version":"1.0.0","hub_version":"1.0.1","review_version":"scholarly-review-2026","reviewed_on":"2026-09-18","public_use":"Citation and original summary only; no full-text or proprietary-method redistribution.","sources":[{"source_id":"P1B-T1-02","study_family_id":"doi:10.5465/amr.2002.6587995","title":"Absorptive Capacity: A Review, Reconceptualization, and Extension","authors":"Shaker A. 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Teece; Gary Pisano; Amy Shuen","year":1997,"canonical_url":"https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%3C509::AID-SMJ882%3E3.0.CO;2-Z","doi":"10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z","reviewed_version":"published journal article","source_type":"theory article","peer_review_status":"peer-reviewed journal","design_sample_context":"Conceptual strategy article using prior studies and cases to explain processes, positions, and paths.","limits":"Illustrations are heterogeneous; no defined sample, causal test, or Pacemark scoring comparison is supplied.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"learning-capabilities"},{"source_id":"P1B-T1-05","study_family_id":"doi:10.5465/amj.2005.19573106","title":"Managing Potential and Realized Absorptive Capacity: How Do Organizational Antecedents Matter?","authors":"Justin J. P. Jansen; Frans A. J. Van Den Bosch; Henk W. Volberda","year":2005,"canonical_url":"https://doi.org/10.5465/amj.2005.19573106","doi":"10.5465/amj.2005.19573106","reviewed_version":"complete prepublication manuscript of published journal study","source_type":"empirical study","peer_review_status":"peer-reviewed journal","design_sample_context":"Survey of organizational units within one European financial-services company, with a smaller multi-informant check.","limits":"Nested units, one industry and company, self-report measures, and cross-sectional analysis limit transfer and causality.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"learning-capabilities"},{"source_id":"P1B-T1-07","study_family_id":"doi:10.1177/21582440211061388","title":"Investigating the Impact of Information Technology, Absorptive Capacity, and Dynamic Capabilities on Firm Performance: An Empirical Study","authors":"FeCheng Ma; Farhan Khan; Kashif Ullah Khan; Si XiangYun","year":2021,"canonical_url":"https://doi.org/10.1177/21582440211061388","doi":"10.1177/21582440211061388","reviewed_version":"publisher version of record","source_type":"empirical study","peer_review_status":"peer-reviewed journal","design_sample_context":"Cross-sectional survey of 241 managers and IT leaders in Chinese private firms, using self-reported capability and performance measures.","limits":"Same-source reporting and local sector/geographic concentration cannot establish a causal performance effect or AEC calibration.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"learning-capabilities"},{"source_id":"P1B-T2-01","study_family_id":"doi:10.2307/2666999","title":"Psychological Safety and Learning Behavior in Work Teams","authors":"Amy C. Edmondson","year":1999,"canonical_url":"https://doi.org/10.2307/2666999","doi":"10.2307/2666999","reviewed_version":"published journal article","source_type":"empirical study","peer_review_status":"peer-reviewed journal","design_sample_context":"Team-level survey and qualitative study at one US office-furniture manufacturer; 51 teams supplied the team analysis.","limits":"Team learning and psychological safety do not establish firm-wide readiness or direct AEC performance effects.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"readiness-culture"},{"source_id":"P1B-T2-02","study_family_id":"doi:10.1186/1748-5908-4-67","title":"A Theory of Organizational Readiness for Change","authors":"Bryan J. Weiner","year":2009,"canonical_url":"https://doi.org/10.1186/1748-5908-4-67","doi":"10.1186/1748-5908-4-67","reviewed_version":"publisher version of record","source_type":"theory article","peer_review_status":"peer-reviewed journal","design_sample_context":"Conceptual theory of shared readiness for a specific organizational change, developed mainly from healthcare implementation literature.","limits":"No original empirical sample or validation test; a change-specific theory is not a general Pacemark culture score.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"readiness-culture"},{"source_id":"P1B-T2-03","study_family_id":"doi:10.1186/1748-5908-9-7","title":"Organizational Readiness for Implementing Change: A Psychometric Assessment of a New Measure","authors":"Christopher M. Shea; Sara R. Jacobs; Denise A. Esserman; Kerry Bruce; Bryan J. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"readiness-culture"},{"source_id":"P1B-T2-07","study_family_id":"doi:10.1186/s13012-014-0157-1","title":"Assessing the Organizational Context for EBP Implementation: The Development and Validity Testing of the Implementation Climate Scale (ICS)","authors":"Mark G. Ehrhart; Gregory A. Aarons; Lauren R. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"readiness-culture"},{"source_id":"P1B-T2-08","study_family_id":"doi:10.1177/26334895241245448","title":"Psychometric Properties of Two Implementation Measures: NoMAD and Organizational Readiness for Implementing Change (ORIC)","authors":"P. Batterham et al.","year":2024,"canonical_url":"https://doi.org/10.1177/26334895241245448","doi":"10.1177/26334895241245448","reviewed_version":"publisher version of record; author-information correction noted","source_type":"multi-country psychometric study","peer_review_status":"peer-reviewed journal","design_sample_context":"Secondary psychometric analysis of implementation measures in 12 mental-health service organizations across nine countries.","limits":"Factor fit and stability varied; the sample is outside AEC and does not prove cross-language or sector invariance.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"readiness-culture"},{"source_id":"P1B-T3-01","study_family_id":"doi:10.1257/mac.20180386","title":"The Productivity J-Curve: How Intangibles Complement General Purpose Technologies","authors":"Erik Brynjolfsson; Daniel Rock; Chad Syverson","year":2021,"canonical_url":"https://doi.org/10.1257/mac.20180386","doi":"10.1257/mac.20180386","reviewed_version":"complete NBER working paper in published study family","source_type":"economic model and empirical study","peer_review_status":"peer-reviewed journal","design_sample_context":"Economic model plus historical US public-firm and national productivity data on intangible complements to general technologies.","limits":"The AI-specific exercise is illustrative; a return lag is conditional and cannot predict a Pacemark level or payback.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"sociotechnical-work"},{"source_id":"P1B-T3-02","study_family_id":"doi:10.1162/003355302753399526","title":"Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence","authors":"Timothy F. Bresnahan; Erik Brynjolfsson; Lorin M. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"sociotechnical-work"},{"source_id":"P1B-T3-04","study_family_id":"doi:10.1111/apps.12241","title":"Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World","authors":"Sharon K. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"sociotechnical-work"},{"source_id":"P1B-T3-05","study_family_id":"doi:10.1016/j.apergo.2013.02.009","title":"Advancing Socio-Technical Systems Thinking: A Call for Bravery","authors":"Matthew C. Davis; Rose Challenger; Dharshana N. W. Jayewardene; Chris W. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"sociotechnical-work"},{"source_id":"P1B-T3-06","study_family_id":"doi:10.5465/amr.2018.0072","title":"Artificial Intelligence and Management: The Automation-Augmentation Paradox","authors":"Sebastian Raisch; Sebastian Krakowski","year":2021,"canonical_url":"https://doi.org/10.5465/amr.2018.0072","doi":"10.5465/amr.2018.0072","reviewed_version":"published journal article","source_type":"theory article","peer_review_status":"peer-reviewed journal","design_sample_context":"Conceptual analysis of automation and augmentation as interacting management choices.","limits":"The proposed response and performance logic are theoretical, with no Pacemark or target-firm intervention test.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"sociotechnical-work"},{"source_id":"P1B-T4-01","study_family_id":"doi:10.1016/j.im.2021.103434","title":"Artificial Intelligence Capability: Conceptualization, Measurement Calibration, and Empirical Study on Its Impact on Organizational Creativity and Firm Performance","authors":"Patrick Mikalef; Manjul Gupta","year":2021,"canonical_url":"https://doi.org/10.1016/j.im.2021.103434","doi":"10.1016/j.im.2021.103434","reviewed_version":"complete accepted pre-proof in published study family","source_type":"measurement and empirical study","peer_review_status":"peer-reviewed journal","design_sample_context":"AI-capability construct study with a cross-sectional survey of 143 US firms, one senior respondent per firm.","limits":"Predominantly large-firm, convenience-recruited and self-reported data support association, not causation or AEC scoring.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"ai-data-governance"},{"source_id":"P1B-T4-02","study_family_id":"doi:10.1007/s12599-020-00676-7","title":"Ready or Not, AI Comes—An Interview Study of Organizational AI Readiness Factors","authors":"Jan Jöhnk; Malte Weißert; Katrin Wyrtki","year":2021,"canonical_url":"https://doi.org/10.1007/s12599-020-00676-7","doi":"10.1007/s12599-020-00676-7","reviewed_version":"complete publisher-rendered article","source_type":"qualitative interview study","peer_review_status":"peer-reviewed journal","design_sample_context":"Qualitative interviews with 25 purposively selected AI experts to develop an AI-readiness factor framework.","limits":"Management-heavy expert views do not establish factor weights, adoption effects, or representative AEC/mid-market norms.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"ai-data-governance"},{"source_id":"P1B-T4-04","study_family_id":"doi:10.1145/3351095.3372873","title":"Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing","authors":"Inioluwa Deborah Raji; Andrew Smart; Rebecca N. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"ai-data-governance"},{"source_id":"P1B-T4-05","study_family_id":"neurips:2015:86df7dcfd896fcaf2674f757a2463eba","title":"Hidden Technical Debt in Machine Learning Systems","authors":"D. Sculley; Gary Holt; Daniel Golovin et al.","year":2015,"canonical_url":"https://proceedings.neurips.cc/paper/2015/hash/86df7dcfd896fcaf2674f757a2463eba-Abstract.html","doi":null,"reviewed_version":"official conference proceedings paper","source_type":"systems conference paper","peer_review_status":"peer-reviewed conference","design_sample_context":"Systems argument and taxonomy drawn from production machine-learning experience and prior literature.","limits":"No defined study sample, comparator, effect size, or AEC field test; technical debt is not a Pacemark outcome measure.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"ai-data-governance"},{"source_id":"P1B-T4-07","study_family_id":"doi:10.1007/s10796-021-10186-w","title":"Artificial Intelligence and Business Value: A Literature Review","authors":"Ida Merete Enholm; Emmanouil Papagiannidis; Patrick Mikalef; John Krogstie","year":2022,"canonical_url":"https://doi.org/10.1007/s10796-021-10186-w","doi":"10.1007/s10796-021-10186-w","reviewed_version":"complete published article in national-library deposit","source_type":"literature review","peer_review_status":"peer-reviewed journal","design_sample_context":"Literature review of 43 heterogeneous AI business-value studies retrieved through multi-database searches.","limits":"No pooled effect or AEC/mid-market subgroup; process effects and firm performance form an incompletely tested chain.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"ai-data-governance"},{"source_id":"P1B-T5-01","study_family_id":"doi:10.1007/s12599-009-0044-5","title":"Developing Maturity Models for IT Management","authors":"Jörg Becker; Ralf Knackstedt; Jens Pöppelbuß","year":2009,"canonical_url":"https://doi.org/10.1007/s12599-009-0044-5","doi":"10.1007/s12599-009-0044-5","reviewed_version":"complete published journal article","source_type":"design-method article","peer_review_status":"peer-reviewed journal","design_sample_context":"Design-science guidance based on a review of documented maturity-model methods and an IT-management illustration.","limits":"Documentation-dependent selection and an illustrative case show design feasibility, not instrument validity or outcome impact.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"maturity-measurement"},{"source_id":"P1B-T5-03","study_family_id":"aisel:ecis2011:28","title":"What Makes a Useful Maturity Model? A Framework of General Design Principles for Maturity Models and Its Demonstration in Business Process Management","authors":"Jens Pöppelbuß; Maximilian Röglinger","year":2011,"canonical_url":"https://aisel.aisnet.org/ecis2011/28/","doi":null,"reviewed_version":"complete author-posted conference paper","source_type":"design-principles conference paper","peer_review_status":"peer-reviewed conference","design_sample_context":"Design-principles paper illustrated against three selected business-process maturity models.","limits":"Small purposive demonstration offers guidance; it does not validate any model that follows the guidance.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"maturity-measurement"},{"source_id":"P1B-T5-04","study_family_id":"aisel:icis2021:1127","title":"Maturity Models in Information Systems: A Review and Extension of Existing Guidelines","authors":"Tobias Mettler; Omar Ballester","year":2021,"canonical_url":"https://aisel.aisnet.org/icis2021/is_design/is_design/3/","doi":null,"reviewed_version":"complete author-posted conference paper","source_type":"scoping review and design guidance","peer_review_status":"peer-reviewed conference","design_sample_context":"Scoping review of 129 English information-systems maturity-model papers and extension of design guidance.","limits":"Methodological map, not empirical proof of a universal linear path or Pacemark reliability.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"maturity-measurement"},{"source_id":"P1B-T5-05","study_family_id":"aisel:pacis2021:45","title":"An Information Systems Design Theory for Maturity Models in Complex Domains","authors":"Katja Bley","year":2021,"canonical_url":"https://aisel.aisnet.org/pacis2021/45/","doi":null,"reviewed_version":"complete author-posted conference paper","source_type":"design theory conference paper","peer_review_status":"peer-reviewed conference","design_sample_context":"Configurational design theory illustrated with an innovation-capability model using data from 224 German industrial companies.","limits":"Outcome- and population-dependent example; the proposed assessment instrument was unfinished and cannot calibrate Pacemark.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"maturity-measurement"},{"source_id":"P1B-T5-07","study_family_id":"doi:10.1109/tem.2010.2077289","title":"Assessing Organizational Capabilities: Reviewing and Guiding the Development of Maturity Grids","authors":"Anja M. Maier; James Moultrie; P. John Clarkson","year":2012,"canonical_url":"https://doi.org/10.1109/TEM.2010.2077289","doi":"10.1109/TEM.2010.2077289","reviewed_version":"complete accepted author manuscript of published article","source_type":"systematic review and methodological guidance","peer_review_status":"peer-reviewed journal","design_sample_context":"Review of 24 public maturity grids plus developer interviews and an illustrative communication-grid case.","limits":"Selection excludes many tool types; utility feedback does not establish psychometric validity, causal decisions, or Pacemark scoring.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"maturity-measurement"},{"source_id":"P1B-T6-01","study_family_id":"doi:10.1016/j.aei.2016.07.001","title":"Big Data in the Construction Industry: A Review of Present Status, Opportunities, and Future Trends","authors":"Muhammad Bilal; Lukumon O. Oyedele; Junaid Qadir et al.","year":2016,"canonical_url":"https://doi.org/10.1016/j.aei.2016.07.001","doi":"10.1016/j.aei.2016.07.001","reviewed_version":"complete accepted author manuscript of published article","source_type":"literature review","peer_review_status":"peer-reviewed journal","design_sample_context":"Broad review of construction Big Data opportunities and implementation conditions.","limits":"Search and appraisal are not reproducible; this pre-generative-AI literature cannot quantify current AEC or Pacemark outcomes.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"aec-midmarket"},{"source_id":"P1B-T6-02","study_family_id":"doi:10.3390/buildings12020090","title":"Acceptance Model of Artificial Intelligence-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework","authors":"Seunguk Na; Seokjae Heo; Sehee Han; Yoonsoo Shin; Youngsook Roh","year":2022,"canonical_url":"https://doi.org/10.3390/buildings12020090","doi":"10.3390/buildings12020090","reviewed_version":"publisher version of record","source_type":"survey and structural-model study","peer_review_status":"peer-reviewed journal","design_sample_context":"Cross-sectional questionnaire of 241 retained respondents working in construction, modeling AI-technology acceptance.","limits":"Recruitment frame and firm sizes are unspecified; reporting inconsistencies and intention measures preclude calibration or outcome claims.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"aec-midmarket"},{"source_id":"P1B-T6-03","study_family_id":"doi:10.3390/app9142819","title":"Industry 4.0 for the Construction Industry: How Ready Is the Industry?","authors":"Raihan Maskuriy; Ali Selamat; Kherun Nita Ali; Petra Maresova; Ondrej Krejcar","year":2019,"canonical_url":"https://doi.org/10.3390/app9142819","doi":"10.3390/app9142819","reviewed_version":"publisher version of record","source_type":"systematic review","peer_review_status":"peer-reviewed journal","design_sample_context":"Review of 20 construction Industry 4.0 papers selected from a 2015–2019 search centered on BIM.","limits":"Literature rather than firms is sampled; pre-generative-AI coverage and thin implementation evidence limit current transfer.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","license_note":"Citation, stable link, and original paraphrase only. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"aec-midmarket"},{"source_id":"P1B-T6-05","study_family_id":"doi:10.1016/j.dibe.2023.100300","title":"GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation","authors":"Abdullahi B. 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Do not mirror source text, file, figure, table, or publisher layout; check the source license before any reuse.","reviewed_on":"2026-09-18","supersedes":null,"topic_slug":"aec-midmarket"}],"findings":[{"finding_id":"P1B-T1-02-F01","source_id":"P1B-T1-02","topic_slug":"learning-capabilities","public_summary":"This review defines absorptive capacity through distinct knowledge-acquisition, assimilation, transformation, and use processes.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T1-05-F04","source_id":"P1B-T1-05","topic_slug":"learning-capabilities","public_summary":"In this study, realized capacity was not uniformly associated with better performance under environmental change.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T2-01-F03","source_id":"P1B-T2-01","topic_slug":"readiness-culture","public_summary":"A team-level perception was aggregated only after multiple responses and evidence of within-team convergence.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T2-02-F01","source_id":"P1B-T2-02","topic_slug":"readiness-culture","public_summary":"Readiness is theorized as shared commitment and efficacy for a specified change, not a general culture trait.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T2-03-F02","source_id":"P1B-T2-03","topic_slug":"readiness-culture","public_summary":"The authors’ organization-level measure requires coverage and agreement across respondents, not a single leader’s answer.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T2-03-F04","source_id":"P1B-T2-03","topic_slug":"readiness-culture","public_summary":"A material minority of sampled organizations lacked sufficient within-organization agreement for one shared readiness score.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T3-01-F01","source_id":"P1B-T3-01","topic_slug":"sociotechnical-work","public_summary":"The authors model technology-related intangible investment that can delay measured productivity gains while complements accumulate.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T3-01-F05","source_id":"P1B-T3-01","topic_slug":"sociotechnical-work","public_summary":"The modeled productivity lag depends on assumptions and is not an inevitable stage of technology adoption.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T3-02-F03","source_id":"P1B-T3-02","topic_slug":"sociotechnical-work","public_summary":"Complementary organizational configurations mattered in this historical IT study, but it did not validate a single weakest-link rule.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T3-05-F01","source_id":"P1B-T3-05","topic_slug":"sociotechnical-work","public_summary":"Sociotechnical design treats social and technical elements of organizational change as interdependent.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T4-01-F01","source_id":"P1B-T4-01","topic_slug":"ai-data-governance","public_summary":"This AI-capability construct is a bundle of resources and organizational factors, not a maturity ladder or minimum score.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T4-01-F04","source_id":"P1B-T4-01","topic_slug":"ai-data-governance","public_summary":"AI capability and reported performance were positively associated in this survey; the design cannot establish causation.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T4-02-F02","source_id":"P1B-T4-02","topic_slug":"ai-data-governance","public_summary":"Interviewees described data availability, quality, accessibility, and flow as separate readiness conditions.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T4-04-F02","source_id":"P1B-T4-04","topic_slug":"ai-data-governance","public_summary":"The authors propose lifecycle audit stages and artifacts for accountable AI governance.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T5-01-F01","source_id":"P1B-T5-01","topic_slug":"maturity-measurement","public_summary":"Maturity-model design guidance calls for documented, iterative design and evaluation matched to intended use.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T5-03-F02","source_id":"P1B-T5-03","topic_slug":"maturity-measurement","public_summary":"Descriptive, prescriptive, and comparative model uses require different forms of evidence.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T5-03-F05","source_id":"P1B-T5-03","topic_slug":"maturity-measurement","public_summary":"Design guidance alone is not evidence that a particular maturity model is valid.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T5-05-F04","source_id":"P1B-T5-05","topic_slug":"maturity-measurement","public_summary":"The configurational example challenges a universal equal-weight or single-minimum interpretation.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T5-07-F01","source_id":"P1B-T5-07","topic_slug":"maturity-measurement","public_summary":"Assessment quality depends on who responds, the audience, the purpose, and the scope of use.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T5-07-F04","source_id":"P1B-T5-07","topic_slug":"maturity-measurement","public_summary":"Content validity, field correctness, repeatability, and generalizability are separate evaluation questions.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T6-01-F02","source_id":"P1B-T6-01","topic_slug":"aec-midmarket","public_summary":"Construction data integration and interoperability require deliberate work rather than following automatically from tool purchase.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T6-02-F06","source_id":"P1B-T6-02","topic_slug":"aec-midmarket","public_summary":"This acceptance study did not test generative AI or calibration to named software platforms.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T6-04-F04","source_id":"P1B-T6-04","topic_slug":"aec-midmarket","public_summary":"The contractor survey was self-selected and skewed toward larger US construction firms.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T6-05-F01","source_id":"P1B-T6-05","topic_slug":"aec-midmarket","public_summary":"The review found a small applied construction GPT literature at the time of its search.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null},{"finding_id":"P1B-T6-05-F05","source_id":"P1B-T6-05","topic_slug":"aec-midmarket","public_summary":"The paper demonstrates a prototype but does not report quantitative benchmark or firm-outcome validation.","public_eligibility":"SUMMARY_ONLY_COMMERCIAL","reviewed_on":"2026-09-18","supersedes":null}],"claims":[{"claim_id":"G1-D1","public_proposition":"Pacemark is an evidence-informed practitioner framework; 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