The Effect of Process Innovation, Product Innovation, and Technology on Operational Performance at PT Pagilaran UP Pagilaran Batang, Central Java

Rahma Ulfa, Dody Setyadi, M Nahar

Abstract


This study aims to find out the influence variables of process innovation, product innovation, and technology for operational performance at PT Pagilaran UP Pagilaran. The data analysis technique used multiple regression as technique analysis. The data collection methode in this study used are observation, questionnaires, and documentation. From this analysis it can be concluded that process innovation, product innovation, and technology have a positive effect on operational performance. The results of the t-test and f-test in this study indicate that process innovation, product innovation, and technology have a significant effect on operational performance. Furthermore, based on the results of the descriptive analysis of process innovation, product innovation, technology, and operational performance, the criteria for a high index value mean that the variables have been carried out well by PT Pagilaran UP Pagilaran Batang

Keywords


process innovation, product innovation, technology, operational performance

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References


Abernathy, W. J. and K. B. Clark (1985). "Innovation: Mapping teh winds of creative destruction." Research policy 14(1): 3-22.

Al-Sa’di, A.F., Abdallah, A.B. and Dahiyat, S.E. (2017), "The mediating role of product and process innovations on the relationship between knowledge management and operational performance in manufacturing companies in Jordan", Business Process Management Journal, Vol. 23 No. 2, pp. 349-376

Badan Pusat Statistik, Statistik Indonesia, Berbagai edisi. Diakses dari Situs https://www.bps.go.id.

Fahmila, S. F. (2018). "PENGARUH STRATEGI INOVASI TERHADAP KINERJA OPERASIONAL PERUSAHAAN."

Flynn, B. B., et al. (2010). "The impact of supply chain integration on performance: A contingency and configuration approach." Journal of Operations Management 28(1): 58-71.

Fogarty, Donald W., dkk. Production and Inventory Control, 2nd Edition. Ohio: South-Western Publishing Co.

Ghozali, Imam. 2018. Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Badan Penerbit Universitas Diponegoro: Semarang

Gillani, F., et al. (2020). "Implementation of digital manufacturing technologies: Antecedents and consequences." International Journal of Production Economics 229: 107748.

ITC (International Tea Committee). 2019. Annual Bulletin of Statistics: London.

Kowo, S. A., et al. (2018). "The impact of process innovation on organisational performance." Acta Universitatis Danubius. Œconomica 15(2).

Mangkunegara, Anwar Prabu. (2005). Evaluasi Kinerja SDM. Bandung :Refika Aditama.

Na, K. and Y.-H. Kang (2019). "Relations between Innovation and Firm Performance of Manufacturing Firms in Southeast Asian Emerging Markets: Empirical Evidence from Indonesia, Malaysia, and Vietnam." Journal of Open Innovation: Technology, Market, and Complexity 5(4): 98.

OECD (2005). Teh measurement of scientific and technology activities Oslo Manual. Guidelines for collecting and interpreting innovation data (3rd ed.). Paris: OECD EUROSTAT.

Rita. (2010). “Pengaruh Strategi Inovasi terhadap Kinerja Operasional Perusahaan Manufaktur”. Binus Business Review.Vol.1 No. 2 pp. 474-487.Jakarta Barat.

Romadhon, A. (2019). PENGARUH TEKNOLOGI TERHADAP KINERJA OPERASI PERUSAHAAN MELALUI INOVASI PROSES DAN INOVASI PRODUK, Universitas Islam Indonesia.

Schroeder, R., Sohal, A.S. (1999): Organizational Characteristics Chareristics associated with AMT adoption: Towards a contingency framework.

Sita Kralawi, Rohdiana Dadan. (2021). Radar DePlantation Opini dan Analisis Perkebunan Teh (2)




DOI: http://dx.doi.org/10.32497/ab.v22i3.3233

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