View in EDS

A Study on Improving Organizational Structure and Cultural Alignment Based on Iterative Computing in Enterprise Digital Transformation.

Saved in:
Bibliographic Details
Title: A Study on Improving Organizational Structure and Cultural Alignment Based on Iterative Computing in Enterprise Digital Transformation.
Authors: Wu, Ye, Tian, Chuan, Wan, Huan
Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p8739-8752, 14p
Subject Terms: ITERATIVE methods (Mathematics), FAULT tolerance (Engineering), DIGITAL technology, BIG data, ORGANIZATIONAL structure
Abstract: In the context of big data, with the accelerated development of digital technology, enterprises are facing the pressure of digital transformation, and at the same time, big data computing system provides technical support for the digital transformation of enterprises. In this paper, we propose a data analysis system based on iterative computing for the digital transformation of enterprises. In order to avoid the resource consumption caused by unnecessary repeated calculations in iterative computing, this paper proposes optimization based on Spark fault-tolerant mechanism and constructs an enterprise data analysis system based on iterative computing model, which provides technical support for enterprise digital transformation. On this basis, this paper also provides optimization strategies in terms of organizational structure and cultural coordination for enterprise transformation, which provides an effective path for realizing comprehensive digital transformation of enterprises. Through the test of this paper's iterative computing data analysis system, the speed of Spark optimization based on this paper is increased by nearly 2 times, which illustrates the usefulness of this paper's optimization based on Sparl fault-tolerant mechanism. Meanwhile, the cache misses of the data analytics system are in the range of 46% to 60%, which provides better performance performance in terms of cache hits and time overhead. In this paper, we provide practical and feasible transformation paths for enterprise digital transformation from three aspects, including digital technology, enterprise organizational structure and culture, and promote the development of enterprise digital transformation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Combinatorial Mathematics & Combinatorial Computing is the property of Combinatorial Press 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.)
Database: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Wu%20Y
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edb
DbLabel: Complementary Index
An: 188826797
RelevancyScore: 1067
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 1067.1513671875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Study on Improving Organizational Structure and Cultural Alignment Based on Iterative Computing in Enterprise Digital Transformation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Ye%22">Wu, Ye</searchLink><br /><searchLink fieldCode="AR" term="%22Tian%2C+Chuan%22">Tian, Chuan</searchLink><br /><searchLink fieldCode="AR" term="%22Wan%2C+Huan%22">Wan, Huan</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p8739-8752, 14p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22ITERATIVE+methods+%28Mathematics%29%22">ITERATIVE methods (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22FAULT+tolerance+%28Engineering%29%22">FAULT tolerance (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22DIGITAL+technology%22">DIGITAL technology</searchLink><br /><searchLink fieldCode="DE" term="%22BIG+data%22">BIG data</searchLink><br /><searchLink fieldCode="DE" term="%22ORGANIZATIONAL+structure%22">ORGANIZATIONAL structure</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In the context of big data, with the accelerated development of digital technology, enterprises are facing the pressure of digital transformation, and at the same time, big data computing system provides technical support for the digital transformation of enterprises. In this paper, we propose a data analysis system based on iterative computing for the digital transformation of enterprises. In order to avoid the resource consumption caused by unnecessary repeated calculations in iterative computing, this paper proposes optimization based on Spark fault-tolerant mechanism and constructs an enterprise data analysis system based on iterative computing model, which provides technical support for enterprise digital transformation. On this basis, this paper also provides optimization strategies in terms of organizational structure and cultural coordination for enterprise transformation, which provides an effective path for realizing comprehensive digital transformation of enterprises. Through the test of this paper's iterative computing data analysis system, the speed of Spark optimization based on this paper is increased by nearly 2 times, which illustrates the usefulness of this paper's optimization based on Sparl fault-tolerant mechanism. Meanwhile, the cache misses of the data analytics system are in the range of 46% to 60%, which provides better performance performance in terms of cache hits and time overhead. In this paper, we provide practical and feasible transformation paths for enterprise digital transformation from three aspects, including digital technology, enterprise organizational structure and culture, and promote the development of enterprise digital transformation. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Combinatorial Mathematics & Combinatorial Computing is the property of Combinatorial Press 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://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=188826797
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.61091/jcmcc127a-484
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 8739
    Subjects:
      – SubjectFull: ITERATIVE methods (Mathematics)
        Type: general
      – SubjectFull: FAULT tolerance (Engineering)
        Type: general
      – SubjectFull: DIGITAL technology
        Type: general
      – SubjectFull: BIG data
        Type: general
      – SubjectFull: ORGANIZATIONAL structure
        Type: general
    Titles:
      – TitleFull: A Study on Improving Organizational Structure and Cultural Alignment Based on Iterative Computing in Enterprise Digital Transformation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wu, Ye
      – PersonEntity:
          Name:
            NameFull: Tian, Chuan
      – PersonEntity:
          Name:
            NameFull: Wan, Huan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 05
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 08353026
          Numbering:
            – Type: volume
              Value: 127a
          Titles:
            – TitleFull: Journal of Combinatorial Mathematics & Combinatorial Computing
              Type: main
ResultId 1