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Logistica : Journal of Logistic and Transportation
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30322766     DOI : https://doi.org/10.61978/logistica
Core Subject : Engineering,
Transportation
Logistica : Journal of Logistic and Transportation with ISSN Number 3032-2766 (Online) published by Indonesian Scientific Publication, is a leading scholarly journal that has undergone rigorous peer review and operates under an open-access model. Since its inception, Logistica has been dedicated to publishing high-quality research papers, analyses, and innovations in the fields of logistics and transportation. The journal ensures that all published articles meet the highest standards of scientific integrity through a stringent peer-review process. As an academic platform, Logistica supports theoretical and practical explorations in logistics management, transportation engineering, supply chain optimization, and transportation policy. With a focus on global challenges and sustainable solutions, the journal aims to be a premier forum for academics, practitioners, policymakers, and educators to share discoveries, strategies, and best practices in managing the complexities of modern logistics and transportation systems.
Arjuna Subject : Ilmu Sosial - Transportasi
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2024): January 2024" : 5 Documents clear
The Influence of Digital Marketing and Brand Image on Purchase Intention of Local Fashion Products in Surabaya: A Quantitative Study Hanifah, Anisah Mutiara Zahra
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.627

Abstract

Digital marketing has become a strategic imperative for fashion Micro, Small, and Medium Sized Enterprises (MSMEs) operating in Indonesia’s rapidly digitising urban markets. This study investigates how digital marketing and brand image interact to influence purchase intention for local fashion products in Surabaya. Using a cross sectional online survey of 220 consumers and Partial Least Squares structural equation modelling, the research validates a model where digital marketing directly predicts purchase intention and indirectly affects it through brand image. Results indicate that digital content quality, storytelling, and influencer credibility significantly enhance brand image, which partially mediates the relationship between digital marketing and purchase intention. The model explains 55 % of the variance in purchase intention, highlighting the importance of narrative rich, trust building strategies. Discussion situates these findings within the Theory of Planned Behaviour (TPB), a framework that explains how attitudes, norms, and perceived control shape intention. This highlights dual cognitive and affective pathways, and proposes practical guidelines for MSMEs to leverage storytelling, user generated content, and micro influencer partnerships. The study contributes to emerging market scholarship by evidencing how perceptual and relational mechanisms convert digital stimuli into economic value, and it recommends longitudinal and experimental research to explore temporal effects and contextual moderators.
Intrinsic Versus Extrinsic Motivation in Logistics: A Quantitative Analysis of Performance Outcomes Budiyanto, Albert; Masito, Fitri; Toja, Andi Batari
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.733

Abstract

Employee motivation is a critical determinant of organizational performance, particularly in logistics warehousing where efficiency and resilience are paramount. This study investigates the influence of intrinsic and extrinsic motivation on employee performance at PT Aerojasa Cargo using Herzberg’s two-factor theory as a framework. A quantitative survey was conducted with 55 employees selected from 120 using Slovin’s formula. Motivation (knowledge, skills, rewards, behavioral direction, persistence) and performance (accuracy, timeliness, quality, quantity, neatness) were measured through a 5-point Likert-scale questionnaire, and data were analyzed using SPSS 26. Regression analysis revealed a strong correlation (R² = 0.833, p < 0.05), with intrinsic factors such as persistence and recognition emerging as the strongest predictors of performance, surpassing extrinsic motivators like salary. These findings provide robust empirical evidence of the relevance of Herzberg’s theory in Indonesia’s logistics sector and underscore the need for HR strategies that prioritize intrinsic motivators. Practical contributions include designing recognition systems, training, and career development programs to enhance employee persistence and behavioral alignment.
Environmental Determinants of Employee Performance in Air Cargo Logistics: Evidence from Indonesia’s Warehouse Sector Sabang, Yusmiaty; Wibowo, Untung Lestari Nur; Hariri, Ahmad; Jakfar
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.734

Abstract

Background: The work environment is a critical determinant of employee performance, particularly in air cargo logistics where accuracy, speed, and consistency are essential. Despite the increasing focus on technological and automation strategies, environmental conditions remain relatively underexplored. Objective: This study aims to examine the influence of workplace environmental factors on employee performance in the warehouse division of PT Aerojasa Cargo, Jakarta. Method: A quantitative cross-sectional survey was conducted with 55 respondents selected through stratified random sampling. Data were collected using a structured Likert-scale questionnaire measuring five environmental factors (cleanliness, lighting, air circulation, workspace layout, and team collaboration) and five dimensions of performance (accuracy, timeliness, quality, quantity, and neatness). The data were analyzed using descriptive statistics, Pearson correlation, and multiple linear regression. Results: The findings reveal that 69.9% of the variance in employee performance is explained by workplace environmental conditions (R² = 0.699; p < 0.01). Cleanliness and team collaboration emerged as the strongest predictors across all performance dimensions, while lighting and workspace layout also showed significant contributions. Conclusion: A conducive work environment plays a pivotal role in enhancing warehouse employee performance. Practical implications include continuous investment in cleanliness programs, ergonomic workspace redesign, and participatory evaluation mechanisms. Future research should adopt multi-site and longitudinal approaches to strengthen generalizability.
Human Capital Optimization in Logistics: A Quantitative Analysis of Motivational and Environmental Determinants of Performance Herdian, Rofik Sandra; Budiyanto, Albert; Nasrullah, Muhammad Nur Cahyo Hidayat; Hariri, Ahmad; Marini
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.737

Abstract

This study investigates the influence of work motivation and work environment on employee performance within PT Aerojasa Cargo's warehouse division. Recognizing the strategic importance of human capital in logistics, the research aims to evaluate how these two variables interact to affect operational outcomes.Using a quantitative methodology, the study surveyed 55 employees selected through Slovin’s formula. A structured Likert-scale questionnaire measured three core constructs: motivation, work environment, and performance. Data were analyzed using SPSS 26.0, employing descriptive statistics, multiple regression analysis, and validation metrics such as Cronbach’s alpha and R². Key results show that both motivation and work environment significantly impact employee performance (p < 0.05), with a combined explanatory power of 83.3% (R² = 0.833). The work environment demonstrated a slightly higher beta coefficient (β = 0.417) than motivation (β = 0.286), suggesting that physical and social workplace conditions are marginally more influential. Descriptive findings also revealed demographic patterns relevant to performance, including age distribution, education level, and gender roles. These findings align with existing literature and underscore the synergistic importance of fostering motivation and creating supportive work environments. The study concludes that HR managers in logistics should implement dual-focused strategies to enhance both motivational drivers and workplace quality. Such strategies may include high-performance work systems, ergonomic improvements, and continuous feedback mechanisms. This research contributes to the field of organizational behavior by offering empirical support for integrated HRM approaches in logistics, providing a framework for future policy and academic inquiry.
Navigating Challenges in Crowdsourced Delivery: A Global Narrative Review Faisal, Ahmad
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.1095

Abstract

The rise of crowdsourced delivery has transformed last-mile logistics by leveraging gig workers and community resources to meet the growing demands of e-commerce and urbanization. This narrative review aims to synthesize current research on operational efficiency, consumer adoption, workforce dynamics, technological innovation, sustainability, and regulatory challenges. Literature was systematically identified from databases such as Scopus, Web of Science, and Google Scholar using targeted keywords and Boolean operators, with inclusion criteria focusing on peer-reviewed studies between 2010 and 2025. The review highlights that optimization algorithms, including machine learning and reinforcement learning, substantially improve routing and scheduling efficiency. Consumer adoption is strongly influenced by trust, transparency, and usability, while gig workers face challenges of precarious employment, inconsistent compensation, and customer injustice. Technological innovations such as blockchain, smart contracts, digital twins, and hybrid drone-human delivery models enhance transparency, security, and operational responsiveness. Sustainability outcomes are notable, with evidence of reduced emissions and strengthened community-based logistics. Nevertheless, systemic barriers remain, including fragmented regulatory frameworks, uneven technological readiness, and unresolved labor protections. These findings underscore the urgency of policy interventions to ensure fair labor standards, incentivize sustainable practices, and strengthen digital infrastructure. Future research should expand geographic coverage, investigate worker equity, and adopt interdisciplinary approaches. This review concludes that balancing efficiency, consumer trust, worker rights, and regulatory clarity is essential for developing resilient and sustainable crowdsourced delivery systems.

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