Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal YUME : Journal of Management Economics and Digital Business Review Journal of Indonesian Scholars for Social Research JER
Qasabandiyah, Muhammad Kholidinna
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Talent Management Strategy in Retaining the Millennial Generation Qasabandiyah, Muhammad Kholidinna; Farida, Umi
YUME : Journal of Management Vol 7, No 2 (2024)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v7i2.7493

Abstract

This study examines the talent management strategies essential for retaining the millennial generation in the workforce. As millennials (individuals born between 1981 and 1996) increasingly comprise a significant portion of the labor market, understanding their unique motivations and preferences is crucial for organizations seeking to enhance employee retention and engagement. The research explores key elements that influence millennial retention, including flexible work arrangements, opportunities for career development, recognition programs, and a commitment to diversity and inclusion. Utilizing established theoretical frameworks such as Maslow’s Hierarchy of Needs, Herzberg’s Two-Factor Theory, and Social Exchange Theory, the study identifies effective strategies that align organizational practices with millennial values.Results indicate that organizations implementing tailored talent management strategies experience improved retention rates, higher employee engagement scores, and a stronger employer brand. The findings highlight the importance of fostering a supportive work environment that prioritizes work-life balance, continuous learning, and meaningful work experiences. Additionally, recommendations are provided for organizations to enhance their talent management practices, including the development of comprehensive onboarding programs, structured feedback mechanisms, and personalized career development plans.This research contributes to the understanding of millennial workforce dynamics and offers valuable insights for organizations aiming to create an inclusive and engaging workplace culture. Future research directions are suggested to further explore the impact of evolving workplace trends on millennial retention strategies. Keywords: Talent Management, Effectiveness, Employee Retention, Career Development
Analysis of the Influence of Halal Products and Brand Image on Food Product Purchase Decisions in Makassar Qasabandiyah, Muhammad Kholidinna; Farida, Umi
Jurnal Economic Resource Vol. 7 No. 2 (2024): September - February
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v7i2.1120

Abstract

The increasing awareness of halal products among consumers has significantly influenced purchasing decisions, especially in the food industry. This study aims to analyze the influence of halal product attributes and brand image on consumer purchase decisions in Makassar. Using a quantitative research approach, data were collected through surveys distributed to consumers who frequently purchase food products. The analysis was conducted using multiple regression techniques to determine the relationship between the variables. The findings indicate that halal certification, product ingredients, and compliance with Islamic law significantly impact consumer trust and preferences. Additionally, brand image plays a crucial role in shaping consumer perceptions, influencing their likelihood of purchasing food products. The study highlights that consumers in Makassar prioritize halal aspects in their purchasing decisions, alongside brand reputation and product quality. These results provide valuable insights for food businesses to enhance their marketing strategies by emphasizing halal certification and strengthening their brand image. Future research could explore additional factors such as pricing and consumer loyalty to gain a more comprehensive understanding of purchasing behavior..
Factors Influencing FinTech Adoption in Investment in Sulawesi in AI Technology Qasabandiyah, Muhammad Kholidinna; Farida, Umi
Economics and Digital Business Review Vol. 5 No. 2 (2024)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/ecotal.v5i2.1791

Abstract

This study investigates the factors influencing the adoption of financial technology (FinTech) in investment, specifically focusing on the integration of artificial intelligence (AI) technology in Sulawesi, Indonesia. As FinTech continues to reshape the investment landscape, understanding the dynamics that drive or hinder its adoption is crucial for stakeholders, including investors, entrepreneurs, and policymakers. The research identifies key factors across four primary dimensions: technological, social, regulatory, and economic. Technological factors encompass the usability and accessibility of FinTech platforms, along with the role of AI in enhancing investment decision-making processes. Social factors examine the impact of financial literacy, cultural attitudes towards technology, and the willingness of individuals to embrace digital investment solutions. Regulatory frameworks are assessed for their role in creating an environment conducive to FinTech innovation while ensuring consumer protection. Economic factors are analyzed to understand how income levels, investment trends, and overall economic conditions influence individuals' engagement with FinTech-enabled investments. The findings indicate that a combination of these factors significantly affects the adoption of FinTech solutions in Sulawesi. By providing insights into the local context, this research aims to inform strategies that promote the effective use of FinTech and AI technologies in investment, ultimately fostering economic growth and financial inclusion in the region. The study concludes with recommendations for stakeholders to enhance the adoption of FinTech in investment and outlines directions for future research in this emerging field.
Challenges of Adopting Artificial Intelligence (AI) in Public Policy Decision-Making Qasabandiyah, Muhammad Kholidinna; Muh Ramli; Umi Farida
Journal of Indonesian Scholars for Social Research Vol. 5 No. 2 (2025): JISSR
Publisher : Cendekiawan Indonesia Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59065/jissr.v5i2.261

Abstract

The rapid advancement of Artificial Intelligence (AI) promises to revolutionize public administration by enabling more precise, data-driven, and predictive policy decision-making. Governments worldwide are increasingly aspiring to leverage AI to solve complex societal problems. However, the transition from traditional bureaucratic methods to AI-augmented governance is fraught with systemic difficulties. This study critically analyzes the multifaceted challenges hindering the effective adoption of AI in public policy decision-making. Utilizing a qualitative approach through a systematic review of current administrative practices and technological frameworks, this research categorizes obstacles into technical, organizational, and ethical dimensions. The findings demonstrate that technical challenges are not merely about infrastructure but involve deep-seated issues regarding data quality, privacy, and the interoperability of legacy systems. Organizationally, the study identifies significant resistance due to bureaucratic inertia and a critical shortage of digital talent within the civil service, leading to a disconnect between technical developers and policy practitioners. Furthermore, ethical dilemmas present the most precarious barrier; specifically, the risks of algorithmic bias, lack of explainability (the "black box" phenomenon), and undefined accountability mechanisms threaten public trust. This article argues that without a comprehensive regulatory framework and cultural transformation within government agencies, AI adoption risks exacerbating existing inequalities rather than solving them. The study concludes by proposing a strategic governance model that prioritizes human-centric AI design, continuous capacity building for administrators, and rigorous ethical auditing to ensure that AI serves the public interest effectively.
Co-Authors Muh Ramli Umi Farida Umi Farida