Luan Thanh Le and Trang Xuan-Thi-Thu
To achieve the Sustainable Development Goals (SDGs) in the era of Logistics 4.0, machine learning (ML) techniques and simulations have emerged as highly optimized tools. This…
Abstract
Purpose
To achieve the Sustainable Development Goals (SDGs) in the era of Logistics 4.0, machine learning (ML) techniques and simulations have emerged as highly optimized tools. This study examines the operational dynamics of a supply chain (SC) in Vietnam as a case study utilizing an ML simulation approach.
Design/methodology/approach
A robust fuel consumption estimation model is constructed by leveraging multiple linear regression (MLR) and artificial neural network (ANN). Subsequently, the proposed model is seamlessly integrated into a cutting-edge SC simulation framework.
Findings
This paper provides valuable insights and actionable recommendations, empowering SC practitioners to optimize operational efficiencies and fostering an avenue for further scholarly investigations and advancements in this field.
Originality/value
This study introduces a novel approach assessing sustainable SC performance by utilizing both traditional regression and ML models to estimate transportation costs, which are then inputted into the discrete event simulation (DES) model.
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Abdel Latef M. Anouze and Ahmed S. Alamro
Despite the wide availability of internet banking, levels of intention to use such facilities remain variable between countries. The purpose of this paper is to focus on e-banking…
Abstract
Purpose
Despite the wide availability of internet banking, levels of intention to use such facilities remain variable between countries. The purpose of this paper is to focus on e-banking in a country with low intention to use e-banking – Jordan – and to explain the slow uptake.
Design/methodology/approach
A quantitative method employing a cross-sectional survey was used as an appropriate way of meeting the research objectives. The survey was distributed to bank customers in Amman, Jordan, collecting a total of 328 completed questionnaires. SPSS and AMOS software were used, and multiple regression and artificial neural networks were applied to determine the relative impact and importance of e-banking predictors.
Findings
The statistical techniques revealed that several major factors, including perceived ease of use, perceived usefulness, security and reasonable price, stand out as the barriers to intention to use e-banking services in Jordan.
Originality/value
This study theorizes a series of implications on intention to use e-banking. It draws the attention of Jordanian banks to the full functionality of their e-banking systems, emphasizing positive safety features, which could contribute to changing negative customer perceptions. It also contributes to eliciting the theory of customer value among banks by focusing on how they should properly enhance their use of shared value. Moreover, it will present to managers how e-banking predictors can send meaningful and timely information to customers.
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Busan (Pusan), Korea’s second largest city (population 3.6 million) and fifth busiest port in the world, is experiencing rapidly increasing trade, global connections, events, and…
Abstract
Busan (Pusan), Korea’s second largest city (population 3.6 million) and fifth busiest port in the world, is experiencing rapidly increasing trade, global connections, events, and resulting infrastructural projects. What should Busan do to better handle the social, political, and economic complexities brought by these changes?
To answer this question, this paper explores the relationship of globalization and culture, as treated by cultural anthropology. It also considers how the tools of applied social science and anthropology can be mobilized to help Busan and the southeast region of Korea deal with these challenges.
After introducing anthropological treatments of culture, globalization and global problems, I discuss how applied social science/anthropology is used in international business/trade, tourism, and transport/logistics, especially the third area. To show how applied social science can help transportation and logistics projects in Busan and Korea, I present lessons from case studies and examples in Denver, Colorado Springs, Chuuk (Truk, South Pacific), and Korea.
Applied social science and applied anthropology present a wealth of helpful methods and insights to help Busan and Korea improve planning, public participation, political, social and environmental issues in transport and logistics projects, and to help prevent ethical and budgetary lapses. Finally, I offer suggestions for initial training programs and future studies to help expedite these goals.
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Chaehwan Lim, Gyuseung Kim and Hun-Koo Ha
Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to…
Abstract
Purpose
Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to investigate an appropriate model to reallocate resources into each air route of an airline company.
Design/methodology/approach
This study proposes a network centralized data envelopment analysis (DEA) models with slack-based measure (SBM). The proposed model not only takes into account the two interconnected stages but also considers the nonradial approach with transfer-in and transfer-out slacks for resource reallocating. Furthermore, the authors modify the objective function to an input-oriented function with SBM, and divide the model into passenger and freight parts, which makes the model more realistic for the characteristic of air routes.
Findings
The empirical analysis using an airline company's internal data provides airline operators with information on how they increase or decrease input resources, which can serve as a practical guideline of resource reallocation. Specifically, the results indicate that the airline company should increase their input resources into long-haul air routes such as KOR-OCN while decreasing their input resources into short-haul air routes such as Korean-Oceania (KOR-OCN), Korean-Chinese (KOR-CHN), Korean-Southeast Asian (KOR-SEA), Korean-Japanese (KOR-JPN).
Originality/value
Although some papers evaluate air route efficiencies based on the DEA approach, a few existing papers have addressed resource allocation for air routes. This paper is the first to study the resource reallocation for air routes based on the DEA approach, contributing to the literature in expanding the scope of research on resource reallocation.