A Model for Challenges and Opportunities in the Implementation of Digitized Transforming Enablers in Manufacturing Industries

Abstract

Every manufacturing revolution is focused around boosting productivity. Impacted by the emerging area technologies, the manufacturing sector, globally, is on the wheels of Fourth Industrial Revolution. The umbrella keyword “Digitized Transforming Enablers (DTE)”, discussed in the study encompasses the digital technologies of the Fourth Industrial Revolution “I4.0”. Literature has reported ample of opportunities, such as greater output capacity, production line flexibility, reduction of monotonous work, improved customer opinion of products as well as improved work-life balance for manufacturing firms, advancing towards these technological transformations. The flipside is challenges, related to lack of management commitment, employee involvement, technology standardization and financial constraints are delaying these transformations, especially in the case of small-medium enterprises (SMEs). The objective of this study was to overcome this limit by presenting a moderated mediation research model developed with the help of a theoretical background, based on descriptive and content analyses, while also describing the constructs selected and the hypotheses developed towards achieving DTE implementation. The proposed model ideates, regulatory support as a facilitator and environmental dynamism as a contextual factor, so as to explore as to how such contingency elements affects the impact of challenges and opportunities on DTE implementation.

Pengaruh Keterlibatan Stakeholder, Prinsip Akuntansi Berkelanjutan, dan Implementasi CSR terhadap Kinerja Keuangan Pada Perusahaan Manufaktur di Indonesia

“…Namun, masih rendahnya implementasi teknologi digital di perusahaan multinasional Eropa, mengindikasikan perlunya investasi dan prioritas lebih lanjut (Ferreira et al, 2023). Selain itu, dimensi sosial dari keberlanjutan di sektor manufaktur, terutama untuk usaha kecil dan menengah (UKM), masih kurang dieksplorasi (Ranka & Vasudevan, 2023). Penting bagi perusahaan manufaktur untuk memperhatikan manajemen biaya lingkungan dan mengungkapkan upaya keberlanjutan mereka, karena hal ini dapat berdampak positif pada kinerja mereka (Kartikasary et al, 2022;Ricotti, 2022).…”

Navigating the manufacturing revolution: identifying the digital transformation antecedents

“…AI and machine learning algorithms hold promise for data analysis and pattern recognition, enabling firms to refine their manufacturing operations and enhance the precision of demand forecasting (Ranka and Vasudevan, 2022). Besides, to achieve a competitive edge, a variety of firms and sectors are changing their organizational structures and investigating creative attitudes (Muduli et al ., 2021; Udovita and Udovita, 2020).…”