JMM17 : Jurnal Ilmu ekonomi dan manajemen

An Examination of TikTok's Impact on Indonesian Digital Marketing Trends

Ependi — Tue, 30 Sep 2025 00:00:00 +0000

The function of TikTok as a digital marketing platform and its impact on contemporary marketing trends in Indonesia are investigated in this study. TikTok, one of the social media sites with the highest rate of growth in the world, has grown to be an important tool for companies looking to communicate with customers through original and engaging content. The purpose of this study is to examine how TikTok influences the development of digital marketing tactics, particularly in small and medium-sized businesses (SMEs), large corporations, and content creators in Indonesia. Through a qualitative and quantitative approach, data were collected from surveys, case studies, and secondary sources to identify how well TikTok campaigns work to increase brand recognition and change consumer behavior, and driving sales. The findings indicate that TikTok's algorithm, short video format, and extensive user base have transformed traditional marketing approaches, enabling brands to connect with younger demographics, particularly Generation Z and Millennials. However, challenges such as content saturation, maintaining engagement, and competition among brands remain significant. This study highlights TikTok's growing potential in shaping Indonesia's digital marketing landscape and provides information to help advertisers improve their tactics on the platform.

Analysis Of Market Reaction to The 2024 Presidential Election Results Announcement on Energy Sector Companies Listed on The IDX

Ignasia Tiffani, Karen Arecia Powell, Vera Intanie Dewi — Tue, 30 Sep 2025 00:00:00 +0000

Political events are one of the events that can affect stock prices because these events are related to the stability of the country's economy. The political event that wants to be tested for its information content on the capital market in Indonesia is the announcement of the 2024 presidential election results. Investor reaction can be measured through two variables, namely abnormal return and trading volume activity. This study aims to determine the reaction of the capital market in Indonesia to the announcement of the 2024 election results on the capital market with an event study approach. This study uses a comparative study method and a market model approach in calculating expected returns. The research period is an estimation period of 17 days and an observation period of 11 days. The sample determination used purposive sampling technique and examined 78 issuers from 86 energy sector issuers listed on the IDX. The results showed no difference in abnormal returns and trading volume activity in the period before and after the announcement of election results. In terms of abnormal returns, it shows that the announcement of election results does not contain information that can cause the market to react. Meanwhile, in terms of trading volume activity, investors tend to focus on long-term analysis related to the policies of the new government so as not to make hasty decisions in investing.

Digital Marketing and Cryptographic Security (D-MARCS) Innovation Design for Marine Tourism Growth: East Java Region

Amalia Herlina, Rudi Santoso, Sutra Wardatul Jannah — Tue, 30 Sep 2025 00:00:00 +0000

The growth of marine tourism in East Java faces challenges in digital marketing and the security of tourist transactions. Although digital marketing has been widely implemented, tourists' trust in digital payment systems is still a major obstacle. This research develops the Digital Marketing and Cryptographic Security (D-MARCS) model as an innovative solution that integrates digital marketing based on big data and artificial intelligence (AI) with cryptography-based security technologies, such as blockchain and end-to-end encryption. However, there are still few studies that explore the relationship between digital marketing and transaction security in increasing marine tourism visits, so this study fills the gap. This study uses a mixed-methods approach, with a quantitative method through a survey of 300 tourists and a qualitative method through interviews and focus group discussions (FGD) with tourism managers. The results show that the integration of digital marketing and digital transaction security increases tourist attraction and trust in digital payment systems. The implementation of the D-MARCS model in tourist destinations such as Ayang-Ayang Gresik Beach and Situbondo White Sand Beach increased tourist visits by 40% and digital transactions by 55%. However, this research is still limited to destinations in East Java and faces challenges in the technological readiness and digital literacy of tourism actors. Advanced research can expand coverage to other regions as well as explore new technologies such as augmented reality (AR), Internet of Things (IoT), and metaverse tourism to increase the competitiveness of marine tourism in a sustainable manner.

The Role and Challenges of Digital Leadership in Health Human Resource Management: A Systematic Literature Review

Gede Ngurah Prasetya Adhitama Putra — Tue, 30 Sep 2025 00:00:00 +0000

The accelerating digital transformation in healthcare has significantly influenced human resource management (HRM), with digital leadership emerging as a critical factor in navigating AI-driven workforce systems. However, there remains a research gap regarding the specific role of digital leadership in optimizing HRM, addressing workforce resistance, and ensuring ethical AI integration. This study conducts a systematic literature review (SLR) of 18 high-impact articles sourced from Scopus, Web of Science, PubMed, and Google Scholar, aiming to explore how digital leadership influences AI integration, workforce automation, and leadership challenges in healthcare institutions. The review identifies key themes, including the impact of digital leadership on workforce efficiency, talent retention, and strategic HRM decision-making. Findings reveal that while AI-driven HRM practices—such as predictive analytics and automated recruitment—enhance operational performance, they also pose risks related to data privacy, algorithmic bias, and job displacement. The study highlights regional disparities, where developed nations prioritize AI ethics and data governance, while developing countries face infrastructural and digital literacy challenges. By synthesizing best practices in leadership adaptability, ethical AI deployment, and digital upskilling, the study provides actionable insights for healthcare leaders and HR professionals. This research contributes to the academic discourse by offering a comprehensive framework for responsible and sustainable AI-driven HRM transformation. It emphasizes the importance of strategic digital leadership in overcoming resistance, aligning workforce capabilities with technological advancements, and ensuring equitable implementation across diverse healthcare systems.

The Influence Of Overconfidence, Risk Tolerance, And Herding Behavior On Cryptocurrency Investment Decisions Among Students In Surabaya

Nelsha Fariska Hermawati — Tue, 30 Sep 2025 00:00:00 +0000

The phenomenon of increasing interest in digital asset investment among university students is often not accompanied by adequate financial literacy, leading to investments being made based on trends or social influence without careful risk consideration. In light of this, the present study aims to analyze the influence of overconfidence, risk tolerance, and herding behavior on cryptocurrency investment decisions among university students in Surabaya. This study employs a quantitative approach, using a probability sampling technique with a total of 98 respondents. The type of data used in this research is primary data. Data analysis was conducted using Partial Least Squares (PLS) with the SmartPLS software. The results indicate that overconfidence, risk tolerance, and herding behavior have a positive and significant effect on cryptocurrency investment decisions. These findings support behavioral finance theory, which asserts that psychological and social factors influence investment decisions. This study is expected to contribute to the improvement of financial literacy among students and serve as a consideration for novice investors in making more informed investment decisions.

Analysis of Financial Statement Performance Ratios in Cigarette Subsector Companies Listed on The IDX

Tue, 30 Sep 2025 00:00:00 +0000

Assessment of the company's financial performance is critical to determine the company's financial condition so that the company's success rate can be known during a specific period and as an evaluation material for management. The data used in this study are the financial statements of cigarette sub-sector companies listed on the Indonesia Stock Exchange (IDX) for 2019-2023. The data analysis technique in this study is to analyze financial ratios, which include liquidity ratio, activity ratio, solvency ratio, and profitability ratio. The results showed that for the liquidity ratio of PT Wismilak Inti Makmur Tbk. Showed financial performance in good condition, on the activity ratio of PT Gudang Garam Tbk. and PT Hanjaya Mandala Sampoerna Tbk. Showed financial performance in good condition, based on PT Wismilak Inti Makmur Tbk's solvency ratio and PT Gudang Garam Tbk. Showed financial performance in good condition, and on the profitability ratio of the financial performance of the companies PT Indonesian Tobacco Tbk. and PT Hanjaya Mandala Sampoerna Tbk. in good condition.

A Dynamic Model Of Sustainable Value Creation: The Impact Of Strategic Human Empowerment, Eco-Innovation, Corporate Responsibility Excellence, And Organizational Resilience On Competitive Agility And Financial Growth In The Consumer Goods Sector

Suwandi — Tue, 30 Sep 2025 00:00:00 +0000

This study aims to analyze the impact of Corporate Responsibility Excellence, Eco-Innovation, Organizational Resilience, and Strategic Human Empowerment on Competitive Agility and Financial Growth. Using a quantitative approach with the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method, this research examines the relationships between these variables in organizations implementing sustainability and innovation strategies. The findings indicate that Competitive Agility is significantly influenced by Corporate Responsibility Excellence, Eco-Innovation, Organizational Resilience, and Strategic Human Empowerment. Meanwhile, Financial Growth is only significantly affected by Eco-Innovation and Organizational Resilience, while Corporate Responsibility Excellence and Strategic Human Empowerment do not show a significant impact on financial growth. These findings suggest that organizational competitiveness can be enhanced through sustainable innovation, organizational resilience, and strategic human resource empowerment. However, to achieve financial growth, companies should focus more on ecological innovation and strengthening business resilience. The managerial implications of this study emphasize the importance of a holistic strategy that integrates sustainability, innovation, and organizational resilience to achieve competitive advantage and sustainable financial growth.

Widow Empowerment Model in Sumenep Regency: Constructing Financial and Non-Financial Approaches for Economic Independence

Ach. Zuhri Zuhri — Tue, 30 Sep 2025 00:00:00 +0000

This study aims to develop a model for empowering widows in Sumenep Regency through financial and non-financial approaches to increase economic independence. The research background is based on the fact that widows are a vulnerable community facing multiple barriers in the form of limited access to capital, financial literacy, business skills, and social stigma. This study uses a mixed methods method, where the initial qualitative stage was conducted through in-depth interviews with community leaders, members, academics, community leaders, and local government officials, which were analyzed using Atlas.ti to map key thematic issues. Next, the conceptual model was tested quantitatively using Structural Equation Modeling-PLS (SEM-PLS) on 94 respondents from the Great Widow Community out of a total population of 220 people. The analysis results show that non-financial interventions (skills training, social support, digital literacy, and networking) have a significant effect on empowerment and economic independence, while financial interventions only have a direct effect on economic independence, but not significantly on empowerment. This finding confirms that empowerment plays an important mediating mechanism, particularly in linking non-financial interventions to economic outcomes. This study provides theoretical contributions by emphasizing the importance of integrating financial and non-financial approaches in the empowerment model for vulnerable women, as well as practical contributions for policymakers and community empowerment institutions in designing more sustainable and contextual programs

The Economic Implications of Cryptocurrency Adoption in Emerging Markets

Nico Irawan, Prattana Srisuk — Tue, 30 Sep 2025 00:00:00 +0000

This study examines the economic implications of cryptocurrency adoption in emerging markets, with particular emphasis on its potential to promote financial inclusion, reshape monetary policy frameworks, and facilitate cross-border trade. Emerging economies face persistent challenges such as limited access to banking services, high remittance costs, and vulnerability to currency instability, all of which create fertile ground for the adoption of digital assets. Cryptocurrencies, supported by blockchain technology, offer decentralized alternatives that can bypass traditional financial intermediaries and provide low-cost, efficient, and accessible financial services to underserved populations. At the same time, their integration into fragile financial systems raises important concerns about volatility, regulatory uncertainty, and the erosion of monetary sovereignty. To address these dynamics, this research adopts a mixed-methods approach that combines econometric modeling with qualitative policy analysis. Panel regression and instrumental variable techniques are employed to evaluate the relationship between cryptocurrency adoption, financial inclusion, and macroeconomic indicators across a sample of emerging markets from 2015 to 2025. Complementary qualitative data, including policy reports and expert interviews, are analyzed thematically to capture the perspectives of regulators, entrepreneurs, and development practitioners. The findings reveal that cryptocurrency adoption contributes positively to financial inclusion and lowers remittance transaction costs, particularly in countries with large unbanked populations and remittance-dependent households. However, widespread adoption also introduces risks, including exchange rate volatility, reduced effectiveness of monetary policy, and heightened exposure to illicit financial activities. By integrating empirical evidence with policy insights, this study advances the literature on digital finance and offers context-sensitive recommendations for the sustainable adoption of cryptocurrencies in developing economies.

Network Effects and Economic Value Creation in Cryptocurrency Ecosystems

Ruben M Nayve Jr, Ferdinand Timbang, Mark Anthony Pelegrin — Tue, 30 Sep 2025 00:00:00 +0000

This study investigates the role of network effects in shaping economic value creation within cryptocurrency ecosystems. While cryptocurrencies have evolved from speculative assets into complex digital platforms that facilitate transactions, decentralized finance, and governance, their economic sustainability is fundamentally driven by the dynamics of user adoption and interconnectivity. Drawing upon theories of network externalities and digital platform economics, this research employs a mixed-methods approach that integrates quantitative econometric modeling with qualitative analysis of policy and industry practices. Quantitative data, including market capitalization, transaction volume, wallet addresses, and hash rate, are analyzed to measure the correlation between network growth and value creation. Complementary qualitative insights are derived from literature reviews and expert interviews to contextualize the findings within broader regulatory and technological frameworks.

The results reveal that network size and user activity exert significant positive effects on value creation, with evidence of nonlinear threshold dynamics: once a critical mass of adoption is reached, economic value accelerates disproportionately. Comparative analysis across major ecosystems such as Bitcoin and Ethereum highlights differences in how network effects interact with technological innovation and governance structures. The findings contribute to advancing theoretical understanding of digital network economies and provide practical insights for stakeholders, including developers, investors, and policymakers. By identifying both opportunities and risks, particularly regarding volatility and regulatory challenges, this study offers a comprehensive framework for evaluating the long-term sustainability of cryptocurrency ecosystems.