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All Journal International Journal of Supply Chain Management Krisnadwipayana International Journal of Management Studies
Abu Seman, Noor Aslinda
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Transportation

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The Relationship between Technological Capability and Manufacturing Performance Ahmad, Nurazwa; Mad Lazim, Halim; Shamsuddin, Alina; Wahab, Eta; Abu Seman, Noor Aslinda
International Journal of Supply Chain Management Vol 8, No 2 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v8i2.3010

Abstract

Technological capability plays an important role in achieving competitive advantages. It also increases performance of firms, industries, and as well as for the countries. Its’ potential as competitive weapon has been recognized to the industry. Manufacturers are striving to outperform the competitors. They are not only competing on the profit made but also struggling to perform a high level operational performance. Traditionally, manufacturers’ performance were measured based on the accounting management measures. However, the focus had shifted from solely emphasizing on financial measures to more specific multidimensional operational priorities. Hence, the purpose of this study is to investigate the relationship between two dimensions of technological capability (i.e. acquiring and upgrading) and four dimensions of manufacturing performance (i.e. quality, cost, delivery and flexibility). Stratified random sampling was employed and 302 questionnaires were distributed to the respondents ranging from small to large manufacturing firms in Malaysia. Pearson correlation analysis was employed to test the hypothesis. The study result shows that the relationship between technological capability and manufacturing performance is significant and positive. This study proved there is a connection between the variables. Further investigation is required to understand the impact of technological capability on manufacturing performance and to understand deeper the influences of differences by size of firms and industry characteristics.
Supply Chain Management Strategy Research Quantitative Analysis: Comparing of Smart-PLS and SPSS Results Istimaroh; Chalid, Idham; Setiaji, Bambang; Abu Seman, Noor Aslinda
Krisnadwipayana International Journal of Management Studies Vol 4 No 1 (2024): Krisnadwipayana International Journal of Management Studies
Publisher : Program Studi Magister Manajemen Universitas Krisnadwipayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35137/kijms.v4i1.334

Abstract

Many researchers are unsure which software to use for quantitative research data analysis because there is no research comparing different software options. This study aims to compare the results of using Smart-PLS and SPSS software for analyzing quantitative data in the field of supply chain management. The study analyzed data from 231 respondents using questionnaires with three variables: lean supply chain strategy, agile supply chain strategy, and sustainable performance. The analysis focused on hypothesis testing and regression analysis, which measures the influence of independent variables on dependent variables. The study found that both Smart-PLS and SPSS software produced significant results in terms of p-value, t-value, determination value, and correlation value. This research is unique because it provides a comparative analysis of Smart-PLS and SPSS software.
Co-Authors Ahmad, Nurazwa Bambang Setiaji Chalid, Idham Istimaroh Mad Lazim, Halim Shamsuddin, Alina Wahab, Eta