Logistics Companies Research Articles

To What Extent Communication Affects Customer Service Relationship On Logistics Companies In Germany

To What Extent Communication Affects Customer Service Relationship On Logistics Companies In Germany

Being green as an instrument for increasing firm value: case of US transport and logistics companies

Being green as an instrument for increasing firm value: case of US transport and logistics companies

The Impact of Leadership Styles on Organizational Commitment: A Study in the Trading and Logistics Company in Azerbaijan

The Impact of Leadership Styles on Organizational Commitment: A Study in the Trading and Logistics Company in Azerbaijan

РОЛЬ ИНФОРМАЦИОННЫХ СИСТЕМ В ОПТИМИЗАЦИИ ЛОГИСТИКИ И ЦЕПОЧЕК ПОСТАВОК

With accelerated globalisation and ever-changing market conditions, effective logistics and supply chain management is becoming a critical success factor for companies of all sizes. Information systems enable more accurate demand forecasting, inventory optimisation and shorter delivery times, which ultimately contribute to the competitiveness of enterprises. An important component of effective logistics supply chain management is the integration of digital technologies. The research conducted analyses five key technologies – CRM, SCM, APS, MES and MRP, identifying their advantages and disadvantages. The impact of artificial intelligence in optimising logistics processes is also explored. The article also examines the process of global digitalisation in the logistics sector, including the adoption of the latest technologies and an analysis of possible threats to data security. Successful examples of the use of these technologies in various logistics companies are highlighted, and recommendations are given on the development of information technology infrastructure of enterprises and support for innovative projects in the field of logistics for effective adaptation to the rapidly changing digital requirements of society.

A two-phase model for resilient hub and mobile distribution centers location

Hub location is crucial for resilient and uninterrupted supply chain operations, particularly during disruptions or unforeseen events. In this paper, we propose a resilience hub location framework for Third Party Logistics (3PL) companies with two key objectives: optimizing demand flows and establishing a resilient network capable of with-standing sudden disruptions. The study aims to identify the key criteria that contribute to the successful implementation of the resilient center. The proposed structure utilizes a two-phase decision-making methodology. The first phase presents a new Multi-Criteria Decision-Making (MCDM) approach called SWARA-EDAS method that evaluates and ranks potential locations based on resiliency criteria. The second phase proposes an optimization model to determine the optimal hub location. To illustrate the approach, a real-world case study of a 3PL company in Tehran is included. Due to the absence of precise demand data in the case study, a novel clustering approach is proposed to estimate the demand flow. Each individual cluster can be considered as a distinct demand point, and a clustering analysis involving 122 regions within Tehran is conducted, taking into account various factors such as population, economic index, accessibility to the Internet, and number of business units. To enhance the resiliency of the network, mobile distribution centers are also deployed. These mobile centers not only provide flexibility but also serve as backup capabilities in the event of a disruption or failure at the fixed hub. The proposed structure offers practical in-sights for 3PL companies seeking to implement a resilient network structure.

A quest for stakeholder synchronization in the CAR T-cell therapy supply chain.

Advancements in cell therapy have the potential to improve healthcare accessibility for eligible patients. However, there are still challenges in scaling production and reducing costs. These challenges involve various stakeholders such as the manufacturing facility, third-party logistics (3PL) company, and medical center. Proposed solutions tend to focus on individual companies rather than addressing the interconnectedness of the supply chain's challenges. The challenges can be categorized as barriers from product characteristics, regulatory requirements, or lagging infrastructure. Each barrier affects multiple stakeholders, especially during a boundary event like product handover. Therefore, solutions that only consider the objectives of one stakeholder fail to address underlying problems. This review examines the interconnecting cell therapy supply chain challenges and how they affect the multiple stakeholders involved. The authors consider whether proposed solutions impact individual stakeholders or the entire supply chain and discuss the benefits of stakeholder coordination-focused solutions such as integrated technologies and information tracking. The review highlights how coordination efforts allow for the implementation of widely-supported cell therapy supply solutions such as decentralized manufacturing through stakeholder collaboration.

Manajemen Laba: Strategi Bisnis, Investment Opportunity Set, Managerial Entrenchment dan Ukuran Perusahaan

One of the most important information is profit information that investors can consider when making investment decisions. Company managers use this information to commit financial statement fraud at profit levels to increase company profits, one of which is earnings management practices. The purpose of this research is to examine and determine the effect of business strategy, investment opportunity set, managerial entrenchment and firm size on earnings management. The population used in this study are transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) in the 2017-2021 period. Sampling by method purpose sampling and according to the criteria obtained 70 sample units from 14 companies within 5 years. Data analysis using panel data regression. The results of the study show that business strategy, investment opportunity set, managerial entrenchment and firm size simultan eously influence earnings management. Partially, business strategy, managerial entrenchment and the size of the company has no effect on Earnings Management. Whereas, investment opportunity set has a positive influence on Earnings Management.

The mediating effect of crisis leadership and digital technologies on emergency supply chain capabilities of logistic companies

The mediating effect of crisis leadership and digital technologies on emergency supply chain capabilities of logistic companies

How effective is the introduction of freight distribution time windows in reducing congestion, externalities and transport costs? The case of Barcelona

The surge in online purchases coupled with rapid home delivery has exerted a detrimental impact on cities. Municipal authorities are now endeavouring to implement measures to mitigate the externalities stemming from this activity. Some cities suggest steering clear of peak hours for last-mile delivery, while others restrict loading and unloading operations on streets to specific time slots. This study evaluates the alteration in transportation costs for logistics companies, as well as shifts in congestion and exhaust emissions resulting from the prohibition of delivery vehicles during designated time frames. The methodology outlined herein is employed for the case study of Barcelona.

Study of accident rates and evaluation of accident event correlation in the period 2022-2023 for selected logistics companies

Study of accident rates and evaluation of accident event correlation in the period 2022-2023 for selected logistics companies

An Empirical Investigation of Business Strategy Development, Supply Chain Management, Environmental Analysis and Financial Innovations of Logistic Companies in UK

An Empirical Investigation of Business Strategy Development, Supply Chain Management, Environmental Analysis and Financial Innovations of Logistic Companies in UK

The impact of cost management accounting techniques on supply chain performance using the balanced scorecard approach: A case of logistics companies in Vietnam

The impact of cost management accounting techniques on supply chain performance using the balanced scorecard approach: A case of logistics companies in Vietnam

물류기업의 물류안전 리더십, 물류안전 동기 및 문화, 물류운영성과의 관계

Purpose: This study analyzes the relationships among logistics safety (e.g., communication, interest, willingness, and activity in logistics safety), logistics safety motivation and culture, and logistics operations performance in logistics companies.
 Research design, data, and methodology: Based on previous studies related to logistics safety and safety leadership, questions for measuring each variable were derived, and a survey was conducted with employees of logistics companies. The hypothesis was verified by conducting factor analysis, reliability analysis, correlation analysis, and regression analysis.
 Results: A nalysis c onfirmed t hat c ommunication, i nterest, w illingness, a nd a ctivity i n logistics safety had significant effects on logistics safety motivation and culture, and logistics safety motivation and culture had meaningful effects on logistics operations performance.
 Conclusions: Logistics companies need to establish logistics safety through leadership, such as promoting active communication, interest, and support, motivating a willingness to practice safety activities on site, ultimately to improve logistics operations performance by establishing a safety culture.

Predicting Future Demand Analysis in the Logistics Sector Using Machine Learning Methods

In this study, the potential of machine learning methods for analyzing future needs in the logistics sector was investigated. The research is conducted using the MATLAB platform. Numeric pallet demand data obtained from a logistics company are employed to train MLP, LSTM, and CNN models. Data security and confidentiality take priority during the data collection process. This dataset, comprising a total of 3,062 daily records, serves as the primary data source for the study. In the data preprocessing phase, missing or erroneous data is rectified, and outliers are detected and corrected. The models are tested to predict pallet quantities over periods of 25 days and 4 weeks. The results are evaluated by comparing the model predictions with actual data. Model performances are assessed using metrics such as MSE, RMSE, NRMSE, MAE, ESD, and RC. The outcomes of the last 25 days demonstrate that the LSTM model exhibits the lowest MSE (6,410.5571) and RMSE (80.0660) values. For the MLP model, the MSE value is calculated as 20,536.5564, and the RMSE value is 143.3058. Performance evaluations for the CNN model yield an MSE of 8,492.4297 and an RMSE of 92.1544. Furthermore, it is observed that the MLP model provides the best results for the 4-week forecasts. The results of this study indicate the success of the models used for predicting pallet transportation quantities in the logistics sector. In addition to this study, a contribution is made toward enabling logistics companies to make more informed and strategic decisions.

물류기업 종사자의 셀프리더십이 SCM성과에 미치는 영향에 관한 연구

Purpose: The relationships among self-leadership, service orientation, organizational fairness, and SCM performance are investigated by conducting a study with workers at domestic logistics companies.
 Research design, data, and methodology: This research analyzes the relationships among the above variables based on 170 pieces of data. Validity was tested with confirmatory factor analysis, Path analysis of the hypothesis confirmed there is no problem with model fit because the criteria were met or similar values were shown.
 Results: The main results of this study show the importance of improving self-leadership in research focusing on service orientation and organizational fairness in SCM performance for logistics company workers.
 Conclusions: This study provides academic and practical implications by examining the effects of workers' SCM performance, self-leadership and service orientation, organizational fairness, and their effects on each other through empirical analysis focusing on the logistics industry. Service orientation and organizational fairness should be increased to improve SCM performance, and self-leadership of organizational members has a positive effect on service orientation and organizational fairness for logistics workers.

4IR 시대의 식품 콜드체인 3PL 서비스품질과 공급체인 성과에 관한 실증연구

Recently, the cold chain market in the food industry has been rapidly advancing with the application of Fourth Industrial Revolution technologies such as Big Data, IoT, RFID, enhancing both information technology and logistics systems. Consequently, in the support of food cold chain systems, physical quality and logistics information quality have improved during the distribution and logistics processes. Therefore, there is a need for distribution and logistics companies to derive and examine service quality factors that impact relationship maintenance and performance in the supply chain management process with small and medium-sized enterprises (SMEs) in the food industry during the Fourth Industrial Revolution era. This study aims to identify the cold chain service quality factors of third-party logistics (3PL) companies based on expert in-depth interviews and a three-dimensional service quality model. Additionally, it seeks to understand the influence of relationship orientation in Korean food SMEs on supply chain performance. To achieve this, a systematic survey was conducted through preliminary investigations, distributing structured questionnaires, and collecting a total of 240 responses, excluding 9 unreliable responses, for empirical analysis. The collected survey data were analyzed using SPSS version 28.0 for frequency analysis to understand the general characteristics of respondents. Furthermore, Smart PLS version 4.0 was employed to test the internal consistency reliability, concentration, and discriminant validity of the measurement model. After evaluating the structural model, hypotheses were verified. The results of the analysis indicate that all three-dimensional service quality factors of cold chain services provided by 3PL companies (data processing expertise, digital-based customer responsiveness, and smart logistics information accuracy) positively influence relationship orientation. Additionally, the relationship orientation of food SMEs toward 3PL companies was confirmed to have a positive impact on supply chain performance. Therefore, the significance of this study lies in providing service quality factors for distribution and logistics companies to maintain relationships with food SMEs in South Korea and confirming the causal relationships affecting supply chain performance.

Factors Affecting Employability of Big Data Professionals: An Analysis with Special Reference to Logistics Companies in Sri Lanka

Big Data Analytics is swiftly growing and has revolutionised the field of business, through advanced analytics. Similarly, Sri Lanka is progressively embracing big data technology, and the pioneering adopters include logistics companies. This emerging field has opened-up many employment opportunities for big data professionals (BDP). However, Sri Lanka has encountered a shortage of BDP, amidst the significant growth in the field. Thus, this study urges to analyse the factors that potentially impact the employability of BDP in the field of big data analytics, with the motive of finding solutions to reduce the skill shortage, which serves as the main objective of the research. The study was executed by analysing qualitative and quantitative data collected through a questionnaire survey followed by a series of structured interviews. The questionnaire survey was distributed among 180 employees who are currently employed in the field of big data analytics, whereas the structured interviews were carried out with 08 experts in the field. Based on the initial Exploratory Factor Analysis conducted, Education Factors, Skills and Competencies, and Job Market Factors were identified as the three main variables that affect the employability of BDP. Subsequently, a Thematic Analysis was carried out in order to investigate the impact of the aforementioned factors on the big data skill shortage, and to navigate possible remedies for it. As implications of the study, it was revealed that certain educational and competency development factors should be considered in order to diminish the skill shortage of BDP.

The Effect of financial performance and constraints on Plant and equipment investment: Focus on domestic logistics companies

The Effect of financial performance and constraints on Plant and equipment investment: Focus on domestic logistics companies

물류기업의 윤리적 경영활동이 조직유효성에 미치는 영향

물류기업의 윤리적 경영활동이 조직유효성에 미치는 영향

Influence Corporate Governance and Financial Distress on Tax Avoidance

This study aims to test the effect of corporate governance proxied by institutional ownership, independent board of commissioner, and audit committee and the effect of financial distress on tax avoidance in infrastructure, transportation, and logistics companies. This research uses a descriptive quantitative approach, which is analyzed using linear regression analysis of panel data such as the Chow test, Hausman test, classic assumption test, and hypothesis testing using EViews version 12 software. The population in this study is infrastructure, transportation, and logistic companies listed on the Indonesia Stock Exchange (IDX) from 2018 to 2022. The sample of this study is 24 companies that were determined by purposive sampling method so that 120 observations were obtained. The results of this study partially show that Corporate Governance, which is proxied by Institutional Ownership, Independent Board of Commissioners, and Audit Committee, has no significant effect on Tax Avoidance, and Financial Distress has a significantly negative effect on Tax Avoidance in infrastructure, transportation, and logistic.