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Choirul Anam; Dian Candra Dewi; Ahmad Fairuzabadi

Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 2024 Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

The technological revolution accelerated by Artificial Intelligence (AI) has fundamentally changed the paradigm of leadership and human resource management. Digital leadership is now an essential competency for organizations that want to survive and thrive in the face of the challenges of the technological disruption era. This research aims to understand the role of digital leadership in the human capital transformation process, especially in the context of AI adoption by modern organizations.The post-qualitative approach allows research to capture the evolving and diverse dynamics in a digitized organizational environment. It is more open to different forms of data, both structured and unstructured, and recognizes the complexity and ambiguity in digital leadership practices. This research utilizes open-ended interviews and participatory observation, facilitated by interpretive narrative to understand the process of human capital transformation. The main results of the study show that digital leadership plays a key role in facilitating human capital transformation, with an emphasis on adaptive skills development, data-driven decision-making and closer collaboration between people and technology. This transformation is not only technical in nature but also involves changes in organizational culture and structure. This research makes an important contribution by offering a new perspective in leadership studies through a post-qualitative approach.

Rina Amelia; Siti Fatimah; Isna Wati 

Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 2023 Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

This research aims to investigate the multifaceted components influencing the competitive edge of Small and Medium Enterprises (SMEs). The research model integrates financial knowledge, AI integration, human capital, and digital marketing to explore their collective impact on SME competitiveness. Through purposive sampling, SMEs across diverse sectors will be selected for in-depth interviews and focus group discussions. Data analysis will employ thematic analysis techniques to derive rich insights from qualitative data. The study anticipates uncovering nuanced relationships between the aforementioned variables and SME competitiveness. Findings will contribute to enhancing understanding of the intricate dynamics shaping SME competitiveness and inform strategic interventions to bolster their competitive edge in the market landscape.