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Journal : Journal of Management and Leadership

THE EFFECT OF COVID-19 DISRUPTION, RESILIENCE, AND ADAPTATION STRATEGIES ON SUPPLY CHAIN PERFORMANCE (Case Study of Pharmaceutical SOE) Nisha Nur Aida; Paidi W S; L M Samryn
Journal of Management and Leadership Vol. 6 No. 1 (2023): Volume 6 - Nomor 1 - May 2023
Publisher : Management and Leadership Study Programme

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/jml.v6i1.389

Abstract

Abstract The pandemic of COVID-19 caused disruption on supply chain systems, with long-term consequences. The goal of this research is to identify the internal and external factors that cause high vulnerability to disruption and to investigate how COVID-19 disruption, resilience, and adaptation strategies affect supply chain performance (SCP). The research was conducted using qualitative and quantitative approaches, based on a case study at a pharmaceutical company. Document analysis, observation, and interviews were used to collect research data. The techniques and analytical tools used in this study include value chain analysis for internal factor analysis, PESTLE for external factor analysis, and multiple linear regression using Minitab to measure the relationship between variables. The study's findings indicate that internal and external factors influence a company's vulnerability when the COVID-19 disruption occurs. The COVID-19 disruption has had a negative impact on SCP. SCR, SCRM, SCI, and SCE are all components of resilience that have a positive impact on SCP. This research also shows that adaptation strategies such as intertwining, substitution, and repurposing can reduce the impact of pandemic disruptions on SCP and improve it. This study suggests that additional research be conducted on companies with different uniqueness and business processes in order to develop a more complete theory.
PENGARUH ABSORPTIVE CAPACITY TERHADAP EFEKTIFITAS TRANSFER TEKNOLOGI, SEBUAH STUDI EMPIRIS PADA PERUSAHAAN VAKSIN DI BANDUNG, INDONESIA Suhartono, Undi; Samryn, L.M.; Budiantoro, Anandha
Journal of Management and Leadership Vol. 7 No. 2 (2024): Volume 7 - Nomor 2 - November 2024
Publisher : Management and Leadership Study Programme

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/jml.v7i2.447

Abstract

Absorption capacity is a variable that has been proven to influence the effectiveness of transfer technology in previous studies. Few of these studies examined this variable in the vaccine industry sector. This research is an empirical study to see the effect of absorption and each of its constituent dimensions (the ability to recognize, the ability to acquire, the ability to assimilate, and the ability to apply) to technology transfer effectiveness carried out in vaccine companies. The research approach is proportional stratified random sampling, where the data is processed statistically quantitatively. Research data were collected by distributing questionnaires containing 43 questions to 114 respondents from employees with strategic position levels in the vaccine companies studied. Quantitative statistical methods with SPSS software were used to analyze the research data, including regression analysis, Pearson Product Moment correlation analysis, and impact analysis. The results showed that the level of absorption capacity of the vaccine companies studied had a statistically significant positive effect on the technology transfer's effectiveness. Each dimension of absorptive capacity is separately proven to have a statistically significant positive impact on the effectiveness of technology transfer in the order from which it gives the most significant influence, namely the ability to apply, the ability to assimilate, the ability to recognize, and the ability to acquire. The findings in this study can be used as a reference by company stakeholders as a basis for maintaining and increasing their absorption capacity based on the order of magnitude of influence from each dimension studied to increase the effectiveness of technology transfer in the future.