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Journal : Dinamika

PENGUJIAN HIPOTESIS PECKING ORDER THEORY : MELALUI MODERASI PROFITABILITAS Astutik, Dwi; Aditya, Galuh
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol 3 No 2 (2023): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/dinamika.v3i2.476

Abstract

Key Problem: Over the past 11 years the invoicing industry has shown a declining contribution to GDP, and moderation testing of profitability is still very limited. Objective: examine and analyze the effect of company size, and asset structure on capital structure based on pecking order theory, either directly or through profitability moderation. Originality: development of the pecking order theory hypothesis with moderation of profitability which throughout the previous research review was still very limited. Method: quantitative design with population in manufacturing industry companies listed on the IDX, as many as 223 companies, based on purposive sampling, obtained 80 companies for a period of 4 years. The analysis technique uses the MRA method. Result: the size of the company is in line with the pecking order theory, which has a negative and significant impact, while the asset structure is positive and significant to the capital structure sourced from debt. Moderation tests show that profitability only moderates the effect of firm size on capital structure. Novelty: the emphasis on the results of testing a high fixed asset structure will increase debt, but the way management views will change when the company's profitability is also high, so it does not reinforce the decision. Future Research Agenda: additional independent variables are needed to strengthen the model, such as ownership structure, board of commissioners, audit committee, and so on. It can be expanded from various points of view of other capital structure theories.
THE ROLE OF INCLUSIVE LEADERSHIP IN ENHANCING TALENT RETENTION AMONG REMOTE WORKFORCE: A MULTINATIONAL STUDY Purnama, Kusna Djati; Wardi, Agustinus; Aditya, Galuh
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol. 5 No. 1 (2025): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/rkx6dd80

Abstract

The transformation of the workplace in the digital era has pushed organizations to adopt more adaptive and inclusive leadership styles, particularly in managing and retaining talent. Inclusive leadership is believed to foster a psychologically safe work environment, build trust, and enhance employee engagement—key factors influencing talent retention decisions. This study aims to examine the impact of inclusive leadership on talent retention, by exploring the mediating roles of psychological safety, trust, and employee engagement. A quantitative approach was employed through an online survey involving 150 respondents from the professional and technology sectors. Data analysis was conducted using multiple linear regression and Structural Equation Modeling (SEM) with the support of SPSS and SmartPLS. The findings reveal that inclusive leadership significantly influences talent retention, both directly and indirectly through the three mediating variables. These results highlight the importance of leadership styles that are attuned to employees’ psychological needs. Theoretically, this study contributes to the growing body of literature on leadership and employee retention. Practically, it offers strategic recommendations for organizations to develop sustainable human resource management policies focused on employee well-being—particularly in the context of an increasingly digital and flexible work environment.
PERSONALIZATION VERSUS PRIVACY: INVESTIGATING THE TRADE-OFFS IN AI-DRIVEN DIGITAL MARKETING STRATEGIES Aditya, Galuh; Wardi, Agustinus; Fitriani, Nining
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol. 5 No. 1 (2025): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/cjwtch17

Abstract

The use of Artificial Intelligence (AI) in digital marketing is rapidly expanding, enabling highly personalized strategies for consumers. However, this advancement also raises serious concerns about data privacy, especially amid varying regulations such as the GDPR (Europe), CCPA (United States), and local policies across Southeast Asia. This study examines how AI technologies like Natural Language Processing (NLP) and predictive analytics can adaptively balance personalization with privacy protection. It also explores the emotional dimension of consumer responses—particularly trust and anxiety—and how these emotions shape perceptions of digital marketing strategies under different regulatory contexts. A mixed methods approach was employed, combining survey data from 400 respondents across three regions and in-depth interviews with 20 extreme-case participants. The analysis utilized tools such as SmartPLS, NVivo, and visual platforms like Tableau AI and MonkeyLearn. Findings reveal that limiting the collection of sensitive data can increase consumer acceptance by up to 23% without compromising marketing effectiveness. Consumer trust emerged as a key mediating factor, while anxiety amplified the demand for transparency. In Southeast Asia, incentive-based strategies were found to be 35% more effective than regulatory approaches. These findings underscore the importance of integrating technological, emotional, and cultural dimensions when designing ethical and context-aware digital marketing strategies.