Understanding the effective factors of knowledge management system usage in petroleum industry in developing economy

Akbar Badpa, Juhana Salim, Jamaiah Yahaya

Research output: Contribution to journalArticle

Abstract

Knowledge management system (KMS), as a class of information system, is the backbone of organization that supports the implementation of KM practices. KMS usage contributes to competitive advantages. In the context of oil and gas industry in developing economy, there are reports of KMS usage failure; however, little knowledge is available about antecedents of KMS usage. The extant studies investigating the effective factors of KMS usage have yielded inconclusive findings. In oil and gas industry, there is a paucity of study on determinants of KMS usage. Our research addresses this issue by identifying the determinant factors of KMS usage in the context of oil and gas industry in developing economy, Pakistan. The study adopted cross-sectional survey involving 813 knowledge workers through clustered random sampling and 428 workable responses were returned. Drawing upon the theories of planned Behavior (TPB), Technology Acceptance Model (TAM) and Task Technology Fit (TTF), the study developed a conceptual model and tested it using SPSS and AMOS, Structural Equation Modeling (SEM). The initial conceptual model encompassed 11 hypotheses from which 7 hypotheses were accepted, while the rest were rejected. Thus, the constructs of commitment, subjective norms, perceived usefulness (PU), perceived ease of use (PEOU), Task-KMS-Fit, leadership and knowledge characteristics were accepted as determinants of KMS usage, while the variables of trust, socio-political influences, KMS-self-efficacy, and organizational structure were found to be insignificant. The results of this study have theoretical, practical, and methodological implications. This study bridges the knowledge gap between research and practice of KMS usage in oil and gas industry.

Original languageEnglish
Pages (from-to)4328-4357
Number of pages30
JournalJournal of Theoretical and Applied Information Technology
Volume96
Issue number14
Publication statusPublished - 31 Jul 2018

Fingerprint

Petroleum industry
Petroleum
Knowledge Management
Knowledge management
Computer systems
Industry
Gas industry
Determinant
Conceptual Model
Technology Acceptance
Self-efficacy
Structural Equation Modeling
Leadership
Random Sampling
Backbone
Information Systems
Information systems
Sampling
Norm

Keywords

  • Developing economy
  • Information system
  • Knowledge management
  • Knowledge management system

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Understanding the effective factors of knowledge management system usage in petroleum industry in developing economy. / Badpa, Akbar; Salim, Juhana; Yahaya, Jamaiah.

In: Journal of Theoretical and Applied Information Technology, Vol. 96, No. 14, 31.07.2018, p. 4328-4357.

Research output: Contribution to journalArticle

@article{866202ef7d38415798ec906d0f8c9cfa,
title = "Understanding the effective factors of knowledge management system usage in petroleum industry in developing economy",
abstract = "Knowledge management system (KMS), as a class of information system, is the backbone of organization that supports the implementation of KM practices. KMS usage contributes to competitive advantages. In the context of oil and gas industry in developing economy, there are reports of KMS usage failure; however, little knowledge is available about antecedents of KMS usage. The extant studies investigating the effective factors of KMS usage have yielded inconclusive findings. In oil and gas industry, there is a paucity of study on determinants of KMS usage. Our research addresses this issue by identifying the determinant factors of KMS usage in the context of oil and gas industry in developing economy, Pakistan. The study adopted cross-sectional survey involving 813 knowledge workers through clustered random sampling and 428 workable responses were returned. Drawing upon the theories of planned Behavior (TPB), Technology Acceptance Model (TAM) and Task Technology Fit (TTF), the study developed a conceptual model and tested it using SPSS and AMOS, Structural Equation Modeling (SEM). The initial conceptual model encompassed 11 hypotheses from which 7 hypotheses were accepted, while the rest were rejected. Thus, the constructs of commitment, subjective norms, perceived usefulness (PU), perceived ease of use (PEOU), Task-KMS-Fit, leadership and knowledge characteristics were accepted as determinants of KMS usage, while the variables of trust, socio-political influences, KMS-self-efficacy, and organizational structure were found to be insignificant. The results of this study have theoretical, practical, and methodological implications. This study bridges the knowledge gap between research and practice of KMS usage in oil and gas industry.",
keywords = "Developing economy, Information system, Knowledge management, Knowledge management system",
author = "Akbar Badpa and Juhana Salim and Jamaiah Yahaya",
year = "2018",
month = "7",
day = "31",
language = "English",
volume = "96",
pages = "4328--4357",
journal = "Journal of Theoretical and Applied Information Technology",
issn = "1992-8645",
publisher = "Asian Research Publishing Network (ARPN)",
number = "14",

}

TY - JOUR

T1 - Understanding the effective factors of knowledge management system usage in petroleum industry in developing economy

AU - Badpa, Akbar

AU - Salim, Juhana

AU - Yahaya, Jamaiah

PY - 2018/7/31

Y1 - 2018/7/31

N2 - Knowledge management system (KMS), as a class of information system, is the backbone of organization that supports the implementation of KM practices. KMS usage contributes to competitive advantages. In the context of oil and gas industry in developing economy, there are reports of KMS usage failure; however, little knowledge is available about antecedents of KMS usage. The extant studies investigating the effective factors of KMS usage have yielded inconclusive findings. In oil and gas industry, there is a paucity of study on determinants of KMS usage. Our research addresses this issue by identifying the determinant factors of KMS usage in the context of oil and gas industry in developing economy, Pakistan. The study adopted cross-sectional survey involving 813 knowledge workers through clustered random sampling and 428 workable responses were returned. Drawing upon the theories of planned Behavior (TPB), Technology Acceptance Model (TAM) and Task Technology Fit (TTF), the study developed a conceptual model and tested it using SPSS and AMOS, Structural Equation Modeling (SEM). The initial conceptual model encompassed 11 hypotheses from which 7 hypotheses were accepted, while the rest were rejected. Thus, the constructs of commitment, subjective norms, perceived usefulness (PU), perceived ease of use (PEOU), Task-KMS-Fit, leadership and knowledge characteristics were accepted as determinants of KMS usage, while the variables of trust, socio-political influences, KMS-self-efficacy, and organizational structure were found to be insignificant. The results of this study have theoretical, practical, and methodological implications. This study bridges the knowledge gap between research and practice of KMS usage in oil and gas industry.

AB - Knowledge management system (KMS), as a class of information system, is the backbone of organization that supports the implementation of KM practices. KMS usage contributes to competitive advantages. In the context of oil and gas industry in developing economy, there are reports of KMS usage failure; however, little knowledge is available about antecedents of KMS usage. The extant studies investigating the effective factors of KMS usage have yielded inconclusive findings. In oil and gas industry, there is a paucity of study on determinants of KMS usage. Our research addresses this issue by identifying the determinant factors of KMS usage in the context of oil and gas industry in developing economy, Pakistan. The study adopted cross-sectional survey involving 813 knowledge workers through clustered random sampling and 428 workable responses were returned. Drawing upon the theories of planned Behavior (TPB), Technology Acceptance Model (TAM) and Task Technology Fit (TTF), the study developed a conceptual model and tested it using SPSS and AMOS, Structural Equation Modeling (SEM). The initial conceptual model encompassed 11 hypotheses from which 7 hypotheses were accepted, while the rest were rejected. Thus, the constructs of commitment, subjective norms, perceived usefulness (PU), perceived ease of use (PEOU), Task-KMS-Fit, leadership and knowledge characteristics were accepted as determinants of KMS usage, while the variables of trust, socio-political influences, KMS-self-efficacy, and organizational structure were found to be insignificant. The results of this study have theoretical, practical, and methodological implications. This study bridges the knowledge gap between research and practice of KMS usage in oil and gas industry.

KW - Developing economy

KW - Information system

KW - Knowledge management

KW - Knowledge management system

UR - http://www.scopus.com/inward/record.url?scp=85051133321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85051133321&partnerID=8YFLogxK

M3 - Article

VL - 96

SP - 4328

EP - 4357

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 14

ER -