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Ninda Lutfiani
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Aptisi Transactions on Management
Published by Pandawan Sejahtera Indonesia
ISSN : 26226812     EISSN : 26226804     DOI : 10.33050/atm
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Aptisi Transactions on Management (ATM) adalah jurnal ilmiah yang diterbitkan oleh APTISI (Asosiasi Perguruan Tinggi Swasta Indonesia), guna memfasilitasi hasil jurnal ilmiah Civitas Akademika dalam bidang teknologi informasi, komunikasi, dan manajemen dalam menghadapi era digital di Indonesia. ATM terbit tengah tahunan (2 kali dalam setahun, periode Januari dan Juli).
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)" : 10 Documents clear
The Role of Cognitive and Affective Post-Purchase Dissonance as Mediating Variables between Perceived Impulsiveness and Repurchase Intention Octavianus, Steven; Aprillia, Ariesya
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2374

Abstract

The study investigates whether cognitive and affective post-purchase dissonance mediate the relationship between perceived impulsiveness and repurchase intention. Using purposive sampling, data were collected from 220 respondents, predominantly women with bachelor’s degrees. The study applied Partial Least Squares Structural Equation Modeling (PLS-SEM) for data analysis. The findings indicate that cognitive and affective post-purchase dissonance do not function as mediators in the relationship between perceived impulsiveness and repurchase intention. Practical implications of the study suggest that companies, especially e-commerce platforms, should focus on minimizing post-purchase dissonance to enhance customer satisfaction and retention. Strategies such as streamlined product return policies and responsive customer service can play a vital role in achieving this. These measures can help address consumer doubts and negative emotions following impulsive purchases, fostering greater trust and loyalty. This research contributes to the understanding of consumer behavior in online retail but highlights the need for further exploration using mixed methods to better capture the emotional nuances of post-purchase dissonance. Additionally, expanding the scope to include diverse products and demographics could enrich future findings.
The Impact of Digital Era Transformation on Human Resource Management Hadiyan, Hadiyan; Lawrence, Lucas; Zakaria, Endang
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2379

Abstract

Significant changes have been brought about by the digital age in many areas of business, including human resource management (HRM). The significant effects of digitalization on HRM strategies, practices, and organizational dynamics are examined in this research. This study explores how technological innovations such as automation, big data analytics, and artificial intelligence have transformed traditional HRM functions and processes. Through a thorough analysis of relevant literature, the research highlights how the advent of digital technologies has reshaped recruitment and talent acquisition. The integration of digital tools enables HR managers to efficiently find, attract, and retain top talent by leveraging online platforms, social media, and data-driven insights. Moreover, HR procedures like performance management, training and development, and employee engagement have been optimized, resulting in greater efficiency and productivity in the workplace. Furthermore, the adoption of digitalization supports data-driven decision-making and enhances employee experiences through personalized solutions. This transformation aligns HRM practices with the evolving technological landscape, positioning organizations to meet the dynamic demands of the modern workforce. In conclusion, digitalization has fundamentally reshaped HRM, offering innovative strategies to manage human capital effectively in the digital era.
Risk Management Strategies in Blockchain Adoption within Financial Institutions Analyzing Challenges and Opportunities Dewi, Susanti; Firasati, Aoliyah; Sitoayu, Laras; Bennet, Daniel
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2393

Abstract

The integration of blockchain technology in financial institutions has introduced both groundbreaking opportunities and significant risks, necessitating a comprehensive approach to risk management. Blockchain’s potential to enhance transparency, security, and efficiency in financial processes makes it an attractive technology for financial institutions. However, issues like regulatory uncertainty, data privacy, and technological readiness present unique challenges. This study aims to identify, evaluate, and provide insights into the primary risks associated with blockchain implementation in financial institutions, focusing on both challenges and opportunities to aid in effective risk management. Using the Structural Equation Modeling (SEM) technique with Partial Least Squares (PLS), also known as SmartPLS, this study examines data collected from financial industry stakeholders, including risk managers and IT experts. Variables assessed include data security, regulatory compliance, and technological infrastructure, allowing for a nuanced understanding of the risk dynamics within blockchain adoption. The analysis reveals that data security risks and regulatory concerns significantly impact blockchain implementation success, while technological readiness serves as a moderating factor, influencing the ease of adoption and operational success. Findings underscore the need for a balanced approach to blockchain integration in financial services, where risk management strategies address both regulatory and technological challenges. By identifying these core risks and their implications, this study contributes to the body of knowledge on blockchain risk management and offers practical recommendations for financial institutions aiming to adopt blockchain effectively while minimizing associated risks.
Advancing Management Strategies with AI and IoT for Operational Excellence and Competitive Edge Zulkarnain, Andy; Zainum Ikhsan, Ramzi; Septiani, Nanda; Victorianda
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2396

Abstract

As organizations face increasing competition and technological advancements, optimizing operations and managing resources efficiently is crucial for maintaining a competitive edge. The integration of emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) enhances efficiency, improves resource allocation, and drives growth. This study explores how AI and IoT adoption optimizes business processes, improves decision-making, and fosters a competitive advantage Using a quantitative approach, data from 200 executives in AI and IoT-implemented industries were analyzed. The analysis, conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM), indicates that AI and IoT significantly enhance efficiency, resource utilization, and overall performance. Real-time monitoring and predictive analytics improve market alignment and operational trends The findings suggest that organizations adopting AI and IoT can better navigate dynamic business environments, enhance productivity, and sustain growth. Moreover, fostering innovation and continuous technological improvement is essential. This research underscores AI and IoT’s transformative potential in reshaping business operations and securing a competitive edge. Future research should explore these technologies' industry-specific impacts and broader innovation potential.
Exploring Technology Innovation Management’s Impact on Business Competitiveness and Efficiency: SmartPLS Approach Zururi, Achmad; Andriyansah; Lesmana, Rosa; Louise, Natalia
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2403

Abstract

This study investigates the impact of Technology Innovation Management (TIM) on business competitiveness and operational efficiency, employing a SmartPLS-based structural equation modeling approach. TIM is critical for or- ganizations navigating rapidly evolving technological landscapes, enabling them to enhance innovation, differentiate themselves, and optimize resources. The research evaluates these relationships through a quantitative design, utilizing a structured survey distributed across organizations adopting TIM practices. Data from 150 respondents were analyzed to test two hypotheses: (H1) TIM posi- tively influences business competitiveness, and (H2) TIM positively impacts op- erational efficiency. Data analysis was conducted using SmartPLS, which con- firmed both hypotheses. TIM significantly enhances competitiveness (β = 0.62, p < 0.001) and operational efficiency (β = 0.71, p < 0.001). Compet- itiveness benefits include market differentiation, improved customer satisfac- tion, and agility in responding to market changes. Efficiency gains stem from streamlined processes, cost reduction, and optimized resource utilization. These findings underscore TIM’s role as a strategic enabler of sustainable business performance. The study contributes to the literature by empirically validating the relationship between TIM, competitiveness, and efficiency. Practical im- plications include recommendations for managers to prioritize TIM initiatives. Limitations, such as the cross-sectional design and sampling method, suggest avenues for future research to explore these dynamics in diverse contexts and longitudinal studies.
Analysis of the Relationship Between Understanding Mathematical Logic and Managerial Decision-Making Effectiveness Ruisli, Marchesa; Laksma Pradana, Bayu; Brotosaputro, Goenawan; Ramirez, Santiago
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2407

Abstract

Managerial decision-making, a cornerstone of organizational success, often relies on logical reasoning to address complex scenarios and develop effective strategies, forming the basis of this research. While logical reasoning has been widely recognized, the integration of mathematical logic as a foundational tool for enhancing decision-making effectiveness has remained underexplored. This study investigates how understanding mathematical logic, particularly propositional and predicate logic, impacts managerial capabilities in analyzing problems, formulating strategies, and implementing decisions. To achieve this, the study employs a quantitative approach, utilizing a survey distributed to 150 managers across diverse industries, with data analyzed using Structural Equation Modeling (SEM) to identify relationships between variables. The findings demonstrate the practical applications of mathematical logic, including its utility in strategic planning for technology firms, operational optimization in manufacturing, and improving decision-making frameworks in healthcare. These insights lead to the understanding that mathematical logic is a valuable tool for strengthening managerial decision-making processes, offering significant theoretical and practical contributions to organizational practices.
Digital Transformation Strategies for Effective Business Management in SMEs: A SmartPLS Approach Ekawaty, Anita; Rizky, Agung; Ndlovu, Zinhle; Ramadan, Ahmad
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2410

Abstract

Small and Medium Enterprises (SMEs) in Tangerang, Indonesia, significantly contribute to economic development but face barriers in adopting digital technologies, such as limited resources, lack of digital skills, and organizational resistance. Digital transformation, encompassing cloud computing, digital marketing, automation, and data analytics, is increasingly recognized as essential for business growth and efficiency.  The primary objective of this study is to examine the impact of digital transformation strategies on operational efficiency, customer engagement, and overall performance in SMEs. Using a quantitative research approach, Partial Least Squares Structural Equation Modeling (SmartPLS) was applied to analyze data from 150 SMEs in Tangerang. The research measured the relationship between digital transformation strategies and key performance indicators. The results indicate that cloud computing and data analytics significantly improve operational efficiency by streamlining processes and enabling data-driven decision-making. Meanwhile, digital marketing and automation enhance customer engagement and market competitiveness, with SMEs showing stronger customer relationships and improved market positions. This study highlights the importance of adopting digital transformation to enhance SME business management and achieve sustainable growth. It offers practical insights for managers and policymakers and encourages future research on the long-term effects of digital transformation on SME resilience and innovation.
The Role of Automation and IoT in Enhancing Operational Efficiency: Evidence from PLS-SEM Analysis Suhandi; Purnama, Suryari; Nurm, Sirje; Ahsanitaqwim, Ridhuan
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2418

Abstract

In today's competitive business environment, operational efficiency is crucial for organizations to maintain a competitive edge. The integration of automation and the Internet of Things (IoT) has emerged as a transformative approach to streamline processes and enhance productivity. However, the synergistic impact of these technologies on operational efficiency remains underexplored. This study aims to evaluate the individual and combined effects of automation and IoT on operational efficiency. It seeks to provide empirical evidence on how these technologies contribute to optimizing workflows and decision-making processes. Methodology Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from organizations across multiple industries. Constructs were measured through validated survey instruments, and hypotheses were tested for direct and synergistic effects. The findings indicate that automation significantly enhances operational efficiency by reducing errors and improving process consistency. IoT adoption complements this by enabling real-time insights and improved decision-making. The combined implementation of these technologies demonstrates a moderate synergistic effect, amplifying operational gains. This study underscores the transformative potential of integrating automation and IoT. By leveraging their complementary strengths, organizations can achieve higher levels of efficiency, providing valuable guidance for digital transformation strategies. In today's competitive business environment, operational efficiency is crucial for organizations to maintain a competitive edge. The integration of automation and the Internet of Things (IoT) has emerged as a transformative approach to streamline processes and enhance productivity. However, the synergistic impact of these technologies on operational efficiency remains underexplored. This study aims to evaluate the individual and combined effects of automation and IoT on operational efficiency. It seeks to provide empirical evidence on how these technologies contribute to optimizing workflows and decision-making processes. Methodology Using Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from organizations across multiple industries. Constructs were measured through validated survey instruments, and hypotheses were tested for direct and synergistic effects. The findings indicate that automation significantly enhances operational efficiency by reducing errors and improving process consistency. IoT adoption complements this by enabling real-time insights and improved decision-making. The combined implementation of these technologies demonstrates a moderate synergistic effect, amplifying operational gains. This study underscores the transformative potential of integrating automation and IoT. By leveraging their complementary strengths, organizations can achieve higher levels of efficiency, providing valuable guidance for digital transformation strategies.
Assessing the Influence of Green Supply Chain Initiatives on Corporate Performance Using SmartPLS Anwar, Nizirwan; Jensen, Henrik; Wahyudin Anugrah, Rio
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2423

Abstract

This study investigates the influence of Green Supply Chain Initiatives (GSCI) on Corporate Performance (CP), emphasizing the mediating role of Operational Efficiency (OE). Using Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS, the research analyzes survey data collected from SESINDO organizations. GSCI, encompassing practices such as green procurement, eco-design, and waste management, are examined for their impact on financial, operational, and environmental performance. The findings reveal a significant positive relationship between GSCI and CP, highlighting that sustainable practices enhance financial outcomes, operational efficiencies, and environmental impact reduction. Furthermore, OE is identified as a partial mediator, amplifying the benefits of GSCI on CP. This underscores the importance of optimizing resource utilization and streamlining processes to maximize the impact of sustainability initiatives. The study contributes to theory by integrating the Resource-Based View (RBV) and Institutional Theory, offering a comprehensive understanding of GSCI adoption and outcomes. Practically, it provides actionable insights for business leaders and policymakers to promote sustainability while achieving competitive advantage. Despite its contributions, the study acknowledges limitations, such as its cross-sectional design and regional focus, and suggests future research in diverse contexts. This research underscores the transformative potential of GSCI in driving sustainable corporate success.
Optimizing Decision-Making for Placement and Quantity of Tower Cranes in High-Rise Building Projects Moengin, Parwadi; Wiratama, Ivan Fahreza
APTISI Transactions on Management (ATM) Vol 9 No 1 (2025): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i1.2431

Abstract

The optimal placement and selection of tower cranes are critical in high-rise construction projects due to their significant impact on operational efficiency, costs, and safety. Misplacement or an inadequate number of cranes can lead to extended project duration, higher expenses and increased safety risks. This study investigates the factors influencing optimal tower crane placement, evaluates existing methodologies, and introduces a simulation-based approach for enhanced decision-making. Using a case study method, data were collected through site observations, interviews with project managers, and computer simulations. Findings reveal that simulation tools can optimize crane productivity, minimize operational costs, and enhance workplace safety. Integrating advanced technologies such as Building Information Modeling (BIM) further supports accurate placement and operational efficiency. These results underline the importance of leveraging technology to address challenges in high-rise construction management. The study concludes with insights on the generalizability of findings and recommendations for future research, emphasizing real-time monitoring integration.

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