Academic Journal
Προβολή σε EDS

Stage-specific impacts of digital technologies on supply chain resilience: meta-analytic evidence for continuous process improvement.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Stage-specific impacts of digital technologies on supply chain resilience: meta-analytic evidence for continuous process improvement.
Συγγραφείς: Xu, Jun1 (AUTHOR) xujun1569@gmail.com, Liu, Fengmei2 (AUTHOR) liufengmei1123@163.com, Luo, Yuying2 (AUTHOR) lyy24720692@shu.edu.cn, Xu, Xueguo2 (AUTHOR) xuxueguo@163.com
Πηγή: Business Process Management Journal. 2026, Vol. 32 Issue 6, p2212-2233. 22p.
Θεματικοί όροι: *Continuous improvement process, *Operations research, *Supply chain management, Digital technology, Evidence synthesis, Preparedness, Sociocultural factors
Περίληψη: Purpose: This study quantifies how digital technologies enhance business process resilience across supply chain stages, addressing a critical gap in process management literature on technology-enabled continuous improvement. Design/methodology/approach: A random-effects meta-analysis of 70 studies (218 effect sizes) maps digital technologies (sensing, analytics, collaboration) to three supply chain resilience process stages (preparedness, response and recovery), with moderator analysis of economic and cultural factors. Findings: Digital technologies are positively associated with resilience (r = 0.331), preparedness (r = 0.332) and response (r = 0.322) gain more than recovery (r = 0.273). Analytics tools yield largest benefits in early stages (r = 0.36); recovery processes rely more on sensing technologies (r = 0.299). Effects are stronger in developing economies (r = 0.350) than developed ones (r = 0.267) and diminish as digital maturity rises (r = −0.007). Notably, long-term orientation culture (r = 0.003) positively moderates technology effectiveness, demonstrating how cultural factors shape digital transformation trajectories in business processes. Practical implications: Organizations should adopt stage-specific technology deployment strategies while balancing technological implementation with governance mechanisms. In digitally mature environments, process managers should prioritize institutional improvements over additional technology investments to overcome diminishing returns and achieve sustainable resilience. Originality/value: Our analysis reveals digital technologies more effectively support the "risk perception–dynamic response" process loop than "post-disruption reconfiguration–adaptive learning" processes. The identified "diminishing digital dividend" phenomenon challenges assumptions that technology alone ensures process resilience. [ABSTRACT FROM AUTHOR]
Copyright of Business Process Management Journal is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Business Source Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://www.emerald.com/insight/content/doi/10.1108/BPMJ-04-2025-0550
    Name: Emerald Insight (All Content) (s7799221)
    Category: fullText
    Text: View full text at Emerald
    MouseOverText: View full text at Emerald
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:bsx&genre=article&issn=14637154&ISBN=&volume=32&issue=6&date=20260901&spage=2212&pages=2212-2233&title=Business Process Management Journal&atitle=Stage-specific%20impacts%20of%20digital%20technologies%20on%20supply%20chain%20resilience%3A%20meta-analytic%20evidence%20for%20continuous%20process%20improvement.&aulast=Xu%2C%20Jun&id=DOI:10.1108/BPMJ-04-2025-0550
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: bsx
DbLabel: Business Source Index
An: 197197504
RelevancyScore: 1435
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1435
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Stage-specific impacts of digital technologies on supply chain resilience: meta-analytic evidence for continuous process improvement.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Jun%22">Xu, Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xujun1569@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Fengmei%22">Liu, Fengmei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> liufengmei1123@163.com</i><br /><searchLink fieldCode="AR" term="%22Luo%2C+Yuying%22">Luo, Yuying</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> lyy24720692@shu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Xueguo%22">Xu, Xueguo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xuxueguo@163.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Business+Process+Management+Journal%22">Business Process Management Journal</searchLink>. 2026, Vol. 32 Issue 6, p2212-2233. 22p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Continuous+improvement+process%22">Continuous improvement process</searchLink><br />*<searchLink fieldCode="DE" term="%22Operations+research%22">Operations research</searchLink><br />*<searchLink fieldCode="DE" term="%22Supply+chain+management%22">Supply chain management</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence+synthesis%22">Evidence synthesis</searchLink><br /><searchLink fieldCode="DE" term="%22Preparedness%22">Preparedness</searchLink><br /><searchLink fieldCode="DE" term="%22Sociocultural+factors%22">Sociocultural factors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: This study quantifies how digital technologies enhance business process resilience across supply chain stages, addressing a critical gap in process management literature on technology-enabled continuous improvement. Design/methodology/approach: A random-effects meta-analysis of 70 studies (218 effect sizes) maps digital technologies (sensing, analytics, collaboration) to three supply chain resilience process stages (preparedness, response and recovery), with moderator analysis of economic and cultural factors. Findings: Digital technologies are positively associated with resilience (r = 0.331), preparedness (r = 0.332) and response (r = 0.322) gain more than recovery (r = 0.273). Analytics tools yield largest benefits in early stages (r = 0.36); recovery processes rely more on sensing technologies (r = 0.299). Effects are stronger in developing economies (r = 0.350) than developed ones (r = 0.267) and diminish as digital maturity rises (r = −0.007). Notably, long-term orientation culture (r = 0.003) positively moderates technology effectiveness, demonstrating how cultural factors shape digital transformation trajectories in business processes. Practical implications: Organizations should adopt stage-specific technology deployment strategies while balancing technological implementation with governance mechanisms. In digitally mature environments, process managers should prioritize institutional improvements over additional technology investments to overcome diminishing returns and achieve sustainable resilience. Originality/value: Our analysis reveals digital technologies more effectively support the "risk perception–dynamic response" process loop than "post-disruption reconfiguration–adaptive learning" processes. The identified "diminishing digital dividend" phenomenon challenges assumptions that technology alone ensures process resilience. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Business Process Management Journal is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=197197504
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1108/BPMJ-04-2025-0550
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 2212
    Subjects:
      – SubjectFull: Continuous improvement process
        Type: general
      – SubjectFull: Operations research
        Type: general
      – SubjectFull: Supply chain management
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Evidence synthesis
        Type: general
      – SubjectFull: Preparedness
        Type: general
      – SubjectFull: Sociocultural factors
        Type: general
    Titles:
      – TitleFull: Stage-specific impacts of digital technologies on supply chain resilience: meta-analytic evidence for continuous process improvement.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xu, Jun
      – PersonEntity:
          Name:
            NameFull: Liu, Fengmei
      – PersonEntity:
          Name:
            NameFull: Luo, Yuying
      – PersonEntity:
          Name:
            NameFull: Xu, Xueguo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 14637154
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Business Process Management Journal
              Type: main
ResultId 1