PENGARUH KNOWLEDGE MANAGEMENT TERHADAP KINERJA SUMBER DAYA MANUSIA DENGAN ARTIFICIAL INTELLIGENCE SEBAGAI VARIABEL MODERASI DI PT. TELEKOMUNIKASI SELULAR WILAYAH SURABAYA

Authors

  • Riyadus Solihin Magister Manajemen, UPN Veteran Jatim, Indonesia
  • Akhmad Fauzi Magister Manajemen, UPN Veteran Jatim, Indonesia
  • Eko Purwanto Magister Manajemen, UPN Veteran Jatim

DOI:

https://doi.org/10.29040/jie.v7i2.10301

Abstract

Knowledge Management has an important role in a company as a supporter in company development. By utilizing artificial intelligence, Knowledge Management practices can be improved in a significant way so as to be able to connect and combine knowledge across various systems so as to assist employees in sharing and processing knowledge. This study aims to determine the influence of Knowledge Management on human resource performance moderated by Artificial Intelligence at PT. Cellular Telecommunications (Telkomsel) Surabaya area. This research uses quantitative methods. The population in this study is all employees at GraPARI Telkomsel Surabaya area who deal directly with customers, master product knowledge, such as serving information, requests and complaints for services for all Telkomsel customers, namely Customer Service and Marketing. The sample used in this study was 41 GraPARI Telkomsel Surabaya employees. The research data was obtained from the results of filling out a questionnaire with a 5-point likert scale and analyzed using the SEM PLS analysis technique with the help of the SmartPLS program. The results of this study prove that (1) Knowledge Management has a role in improving human resource performance, the better the level of Knowledge Management will make employee performance higher, in this case employees who have work experience in their fields play an important role in Knowledge Management in Transfer such knowledge to other employees to improve employee performance. (2) The results of this study prove that Artificial Intelligence moderates the role of Knowledge Management on human resource performance, in this case Artificial Intelligence is able to automate some repetitive work so as to increase the efficiency of employee performance to focus more on handling more complex problems. Keywords : Knowledge Management, artificial intelligence, HR performance

Author Biographies

Riyadus Solihin, Magister Manajemen, UPN Veteran Jatim

Magister Manajemen, UPN Veteran Jatim

Akhmad Fauzi, Magister Manajemen, UPN Veteran Jatim

Magister Manajemen, UPN Veteran Jatim

Eko Purwanto, Magister Manajemen, UPN Veteran Jatim

Magister Manajemen, UPN Veteran Jatim

References

Adamopoulou, E. (2020). An Overview of Chatbot Technology. IFIP International Conference on Artificial Intelligence Applications and Innovations.

Aleryani , A. (2019) Refutation of Artificial Intelligence' Myth "Artificial Intelligence will ultimately replace human employees. International Journal of Digital Information and Wireless Communications.

Alshurideh et al. (2022). Fuzzy assisted human resource management for supply

chain management issues. Annals of Operations Research, 1–19.

Bhagavan, N. (2020). Water pollutants monitoring based on Internet of Things.

Burhannudin, B., Zainul, M., & Harlie, M. (2019). Pengaruh Disiplin Kerja, Lingkungan Kerja, dan Komitmen Organisasional terhadap Kinerja Karyawan. Jurnal Maksipreneur: Manajemen,Koperasi, Dan Entrepreneurship, 8(2), 191.

Calandra, D. (2022). Knowledge management and digital transformation for Industry 4.0: a structured literature review. Knowledge Management Research & Practice.

Chen, J. (2022). Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective. Journal of Business Research. p 1138-1154.

Danielson, J. (2022). Artificial intelligence and systemic risk. Journal of Banking & Finance.

Duan et al. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management.

Duli, N. (2019). Metodologi Penelitian Kuantitatif : Beberapa Konsep Dasar

untuk Penulisan Skripsi & Analisis Data dengan SPSS. Yogyakarta: CV.

Budi Utama.

Ghozali, Imam., & Latan, H. (2020). Partial Least Squares: Konsep, Teknik, dan

Aplikasi Menggunakan Program SmartPLS 3.0. Badan Penerbit Undip.

Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. International Journal of Management Education.

Haider et al. (2022). The impact of responsible leadership on knowledge sharing behavior through the mediating role of person–organization fit and moderating role of higher educational institute culture. Journal of Innovation & Knowledge.

Haleem et at. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks.

Hair et al. (2019) Multivariate Data Analysis (8 ed.). United Kingdom: Cengange Learning.

Hakim, F. (2020). Pengaruh Komunikasi, Motivasi dan Lingkungan Kerja Terhadap Kinerja Karyawan Pada PT. Angkasa Pura II (Persero) Kantor Cabang Kualanamu. Jurnal Ilmiah Magister Manajemen Vol 3, No. 1, Maret 2020, 107-119.

Haryati, R. (2019). Analisis Penilaian Kinerja Pegawai Pada Bagian Kepegawaian dan Umum Direktorat Jenderal P2P Kementerian Kesehatan. Widya Cipta,

p 61-70.

Harb et al., (2021). The impact of responsible leadership on knowledge sharing behavior

through the mediating role of person−organization fit and moderating role of higher educational institute culture. Journal of Innovation & Knowledge Vol.7.

Hasibuan, H. (2019). Manajemen Sumberdaya Manusia. Jakarta: Bumi Aksara.

Hazmanan, K.(2020). Pengaruh Komunikasi, Motivasi dan Lingkungan Kerja Terhadap Kinerja Karyawan Pada PT. Angkasa Pura II (Persero) Kantor Cabang Kualanamu. Jurnal Ilmiah Magister Manajemen Vol 3.

Kaur et al. (2019). Organizational ambidexterity through global strategic partnerships: a cognitive computing perspective. Technological Forecasting and Social Change. p 43-54.

Lee, S. (2020). Industrial human resource management optimization based on skills and characteristics. Computers & Industrial Engineering.

Maria, P. (2019). Pengaruh Artificial Intelligence dan Digital Marketing Terhadap Minat Beli Konsumen. Semantic scholar.

Marwansyah. (2019). Manajemen sumber daya manusia (2nd ed.). Bandung: Alfabeta.

Meliana, D. L., Sofia, A. S., dan Olivia, F. (2020). Knowledge Management dan Pengembangan Sumber Daya Manusia terhadap Kinerja Karyawan Bank Mandiri KC Tahuna, Vol 1, No 4, 334-338.

Monticolo, D. (2020). OCEAN: A multi agent system dedicated to knowledge management. Journal of Industrial Information Integration.

Nana, D., Abdul, K.M. (2020). The influence of knowledge management towards employee's competence and its effect to the employee's performance.

Navleen, K. (2020). The Influence of Artificial Intelligence on the Banking Industry & How AI Is Changing the Face of Modern Day Banks. International Journal of Management.

Nurdin, I., & Hartati, S. (2019). Metodologi Penelitian Sosial. Media Sahabat Cendekia.

Opatha. (2019) A study of bachelor’s degrees in human resource management in three Sri Lankan leading state universities. Universal Journal of Educational Research.

Pereira, L. (2021). Knowledge Management Maturity Contributes to Project-Based Companies in an Open Innovation Era. Journal of Open Innovation: Technology, Market, and Complexity.

Preston, S. (2023). Artificial Intelligence and Knowledge Management: A Partnership Between Human and AI. Business Horizons.

Priyadharshini, B. (2023). Artificial Intelligence-Enabled Knowledge Management

Using a Multidimensional Analytical Framework of Visualizations. International

Journal of Cognitive Computing in Engineering. P. 240-247.

Reni, J. (2019). Analisis Pengaruh Pelatihan Dan Pengembangan SDM Terhadap Kinerja Pada Pegawai BPS Kabupaten Ogan Ilir. Jurnal Ilmiah Bina Manajemen.

Satheesh, K. (2021). Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector. International Management Review.

Sinambela. (2019). Manajemen Kinerja Pengelolaan Pengukuran, dan Implikasi Kinerja. Depok: RajaGratindo Persada.

Sinambela. (2021). Metodologi Penelitian Kuanitatif - Teori Dan Praktik. Depok: Rajawali Pers.

Sugiyono. (2019). Metodelogi Penelitian Kuantitatif dan Kualitatif Dan R&D. Bandung: ALFABETA.

Sugiyono. (2020). Metode Penelitian Kualitatif. Bandung: Alfabeta.

Yuniar, E. (2019). Implementasi Chatbot "Alitta" Asisten Virtual Dari Balittas Sebagai Pusat Informasi Di Balittas. Antivirus Jurnal Ilmiah Teknik Informatika.

Whysall et al. (2019). The new talent management challenges of Industry 4.0. Journal of Management Development. p 118-129.

Zulkifli, (2019). Does Knowledge Management Enhance Innovation: A Literature Review. International journal of scientific and technology research.

Downloads

Published

2023-08-30

How to Cite

Solihin, R., Fauzi, A., & Purwanto, E. (2023). PENGARUH KNOWLEDGE MANAGEMENT TERHADAP KINERJA SUMBER DAYA MANUSIA DENGAN ARTIFICIAL INTELLIGENCE SEBAGAI VARIABEL MODERASI DI PT. TELEKOMUNIKASI SELULAR WILAYAH SURABAYA. JURNAL ILMIAH EDUNOMIKA, 7(2). https://doi.org/10.29040/jie.v7i2.10301

Issue

Section

Articles

Citation Check