Exploring Configurations of Knowledge Management Strategy in Information and Communication Technology Firms: A Qualitative Comparative Approach.

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Title: Exploring Configurations of Knowledge Management Strategy in Information and Communication Technology Firms: A Qualitative Comparative Approach.
Authors: Hartono, Budi1 (AUTHOR) boed@gadjahmada.edu, Daulay, Yulisyah P.1 (AUTHOR), Arini, Hilya M.1 (AUTHOR)
Source: Engineering Management Journal. 2022, Vol. 34 Issue 1, p2-23. 22p.
Subjects: Comparative method, Knowledge management, Information & communication technologies, Configuration management, Information resources management, Engineering services, Internet content management systems
Geographic Terms: Indonesia
Abstract: Project-based organizations (PBOs) in the information and communication technology (ICT) industry have experienced increasing competition. Engineering projects are conducted by firms to deliver customized products and services to clients. Effective knowledge management (KM) in the engineering project context is important for the sustainable growth of companies. At a practical level, engineering managers recognize two types of KM strategy, namely, personalization (person-to-person) and codification (person-to-system). A continuous debate, however, exists between dominant and balanced approaches of this strategy. This exploratory study extends the existing literature by incorporating multiple predictors of KM strategy (i.e., "personalization" and "codification"), two attributes of project complexity ("uncertainty in goals" and "structural complexity"), and an environmental context of "business strategy." For the conceptual part, a mix–contingent configurational perspective was applied to represent the causal complexity among multiple predictors and its associated outcome. An empirical study was performed by inviting PBO/ICT companies in Indonesia. Out of the total 440 firms, 87 provided useful cases, accounting for a 20% response rate. Crisp-set qualitative comparative analysis was conducted to identify multiple case configurations. This study offers new, more comprehensive insights for engineering managers of successful and less successful ICT firms when implementing knowledge strategy in a highly nuanced manner. This study also identifies multiple successful configurations of knowledge strategy, project complexity, and business strategy. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Management Journal is the property of Taylor & Francis Ltd 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.)
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  Data: <searchLink fieldCode="DE" term="%22Comparative+method%22">Comparative method</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Information+%26+communication+technologies%22">Information & communication technologies</searchLink><br /><searchLink fieldCode="DE" term="%22Configuration+management%22">Configuration management</searchLink><br /><searchLink fieldCode="DE" term="%22Information+resources+management%22">Information resources management</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+services%22">Engineering services</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+content+management+systems%22">Internet content management systems</searchLink>
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  Data: Project-based organizations (PBOs) in the information and communication technology (ICT) industry have experienced increasing competition. Engineering projects are conducted by firms to deliver customized products and services to clients. Effective knowledge management (KM) in the engineering project context is important for the sustainable growth of companies. At a practical level, engineering managers recognize two types of KM strategy, namely, personalization (person-to-person) and codification (person-to-system). A continuous debate, however, exists between dominant and balanced approaches of this strategy. This exploratory study extends the existing literature by incorporating multiple predictors of KM strategy (i.e., "personalization" and "codification"), two attributes of project complexity ("uncertainty in goals" and "structural complexity"), and an environmental context of "business strategy." For the conceptual part, a mix–contingent configurational perspective was applied to represent the causal complexity among multiple predictors and its associated outcome. An empirical study was performed by inviting PBO/ICT companies in Indonesia. Out of the total 440 firms, 87 provided useful cases, accounting for a 20% response rate. Crisp-set qualitative comparative analysis was conducted to identify multiple case configurations. This study offers new, more comprehensive insights for engineering managers of successful and less successful ICT firms when implementing knowledge strategy in a highly nuanced manner. This study also identifies multiple successful configurations of knowledge strategy, project complexity, and business strategy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Engineering Management Journal is the property of Taylor & Francis Ltd 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.)
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        Value: 10.1080/10429247.2020.1834310
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        Text: English
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        Type: general
      – SubjectFull: Knowledge management
        Type: general
      – SubjectFull: Information & communication technologies
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      – SubjectFull: Configuration management
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      – SubjectFull: Information resources management
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      – SubjectFull: Engineering services
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      – SubjectFull: Internet content management systems
        Type: general
      – SubjectFull: Indonesia
        Type: general
    Titles:
      – TitleFull: Exploring Configurations of Knowledge Management Strategy in Information and Communication Technology Firms: A Qualitative Comparative Approach.
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            NameFull: Hartono, Budi
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              Text: 2022
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