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Research Article Open access CC BY 4.0

The Influence of Knowledge Sharing and Digitalization Improvement towards Employees’ Productivity: A Qualitative Approach

Rusnawati Thamrin, Muhammad Asdar, Mahlia Muhlis

Asian Journal of Advanced Research and Reports · pp. 58–70 · Published 3 Aug 2023

10.9734/ajarr/2023/v17i10533

Abstract

Literature indicates that there have been great numbers of publications and papers which highlight specifically the mining industry's development globally through the risk analysis and management perspective. However, theoretical and practical research findings have shown that when analyzing the risk management in the mining industry, it is important to consider not just the human component but also the business process and productivity strategy of related organization. Through the application of qualitative research, this study then intends to gather any useful information through both primary and secondary data sources, such as the interviews and/or acquire the information, which is related to the experience of the participants as the unit of analysis and their viewpoints as well as behavior. Instead of addressing how many or how much, a qualitative research method addresses on the how and why of the research question. As such, this study aims to explain the analysis of the existing business processes of PT Antam Tbk and then re-evaluate if there is any factor that is inefficient and ineffective so that the input from employee affects eventually the employee productivity. As such, this study recommends to apply the strength, weakness, opportunity, threat (SWOT) analysis in order to explain in detail the business process of PT Antam Tbk. Through such analysis abovementioned, this study is assisted to offer both theoretical and managerial contribution. For theoretical contribution, this study mainly aims to deliver a strategy to optimize the business processes better that eventually may increase significantly the value of PT Antam Tbk, especially the employee productivity. Additionally, this study also offers in the particular sections the managerial implications of this study findings.

Knowledge sharing digitalization SWOT strategic management mining industry

References (21)

  1. 1 Research methods for business: A skill building approach [DOI]
  2. 2 Chapter 12: What does the Anthropocene hold for citizenship? [DOI]
  3. 3 Designing a Qualitative Study [DOI]
  4. 4 Exploring SWOT analysis – where are we now? [DOI]
  5. 5 Business process analysis in healthcare environments: A methodology based on process mining [DOI]
  6. 6 Demystifying productivity and performance [DOI]
  7. 7 Design of a SWOT Analysis Model and its Evaluation in Diverse Digital Business Ecosystem Contexts [DOI]
  8. 8 The Influence of Motivation, Work Discipline, and Compensation on Employee Performance [DOI]
  9. 9 Process Mining in Action [DOI]
  10. 10 Risk Assessment Methods in Mining Industry—A Systematic Review [DOI]
  11. 11 Sustainable environmental strategy, firm competitiveness, and financial performance: Evidence from the mining industry [DOI]
  12. 12 JAPANESE ENTERPRISES ROLE ON SMES DEVELOPMENT IN INDONESIA: INSIDE TOBIKO EXPORT AND IMPORT [DOI]
  13. 13 Game theory for analyzing and improving environmental management in the mining industry [DOI]
  14. 14 The Rise of Skywalker: The Critical Vehemence of Customer Loyalty inside the E-commerce Platform [DOI]
  15. 15 When Love and Hate Collide: The Influence of Conflict on Employees' Turnover Intention [DOI]
  16. 16 Foreign exchange risk management: a case in the mining industry [DOI]
  17. 17 Analysis of business process management defining and structuing activities in micro, small and medium-sized enterprises [DOI]
  18. 18 Indonesia Green Mining Industry [DOI]
  19. 19 Capital structure, liquidity, and firm size impact on profitability of mining industry in Indonesia [DOI]
  20. 20 Mapping the Form and Pattern of Stakeholders’ Response towards CSR Program: A Study at PT. Antam Tbk. [DOI]
  21. 21 Manajemen sumber daya manusia [DOI]

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