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Development and validation of an instrument for multidimensional top management support

Author

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  • Riaz Ahmed
  • Noor Azmi bin Mohamed

Abstract

Purpose - Literature reveals that there is a paucity of instruments to measure multidimensional top management support (TMS). The multidimensionality and the complexity of the TMS cannot be reflected by a single-dimensional construct. The purpose of this paper is to develop and validate an instrument for the measurement of multidimensional TMS. Design/methodology/approach - In this cross-sectional study, exploratory and confirmatory factor analyses were performed to check the validity and model fitness based on sample data collected from the PMI community. Ordinary least square and structural equation modeling techniques were used to test the research hypotheses and validate multidimensional TMS. Findings - The findings revealed a significant positive correlation among all dimensions of top management and their significant influence on project success, especially on project efficiency and team dimensions. Research limitations/implications - Based on the existing knowledge through a coherent and refined process, the development and validation of a top management support questionnaire (TMSQ) made a significant contribution to theories and research methods. Practical implications - Multidimensional TMS provides an opportunity to ensure provision of apt assistance throughout the implementation of projects for improving organizational performance across the industries. Originality/value - This study targeted a sample size of 300 to develop and validate an instrument, which is in line with previous research studies on the development and validation of a reliable instrument. To operationalize TMSQ, this study adopted an online survey and received 208 responses (69 percent) from the PMI community.

Suggested Citation

  • Riaz Ahmed & Noor Azmi bin Mohamed, 2017. "Development and validation of an instrument for multidimensional top management support," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 66(7), pages 873-895, September.
    • Handle: RePEc:eme:ijppmp:ijppm-12-2015-0182
    DOI: 10.1108/IJPPM-12-2015-0182
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    Cited by:

    1. Olakunle Jayeola & Shafie Sidek & Azmawani Abd Rahman & Anuar Shar Bali Mahomed & Hu Jimin, 2020. "Contextual Factors and Strategic Consequences of Cloud Enterprise Resource Planning (ERP) Adoption in Malaysian Manufacturing SMEs: A Conceptual Framework," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 176-201.
    2. Amir Mahmud & Nurdian Susilowati & Indah Anisykurlillah & Puji Novita Sari, 2023. "Increasing Income Generation: The Role of Staff Participation and Awareness," IJFS, MDPI, vol. 11(1), pages 1-17, January.

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