Sustainable Entrepreneurship in the Transport and Retail Supply Chain Sector

Negruțiu, Cristian; Vasiliu, Cristinel; Enache, Calcedonia

doi:10.3390/jrfm13110267

Cited by 19 publications

(9 citation statements)

References 23 publications

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“…(Fanoodi et al, 2019) used an artificial neural network in an auto-regressive integrated moving average model for Blood products in a supply chain considering the short life span of these products. (Negrutiu et al, 2020) applied a binary logistic regression for finding the impact of features that can influence sustainable entrepreneurship in supply chains. (Mehrolia et al, 2021) used a binary Logistic Regression to classify the customers that used online food orders during the COVID-19 outbreak in India.…”

Section: Comparing Supervised Unsupervised and Reinforcement Machine Learning Algorithmsmentioning

confidence: 99%

A supervised machine-learning method for optimizing the automatic transmission system of wind turbines

Aladwani¹,

Ariffin²,

Mustapha³

2022

10.5267/j.esm

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Large-scale wind turbines mostly use Continuously Variable Transmission (CVT) as the transmission system, which is highly efficient. However, it comes with high complexity and cost too. In contrast, the small-scale wind turbines that are available in the market offer a one-speed gearing system only where no gear ratios are varied, resulting in low efficiency of harvesting energy and leading to gears failure. In this research, an unsupervised machine-learning algorithm is proposed to address the energy efficiency of the automatic transmission system in vertical axis wind turbines (VAWT), to increase its efficiency in harvesting energy. The aim is to find the best adjustment for VAWT while the automatic transmission system is taken into account. For this purpose, the system is simulated and tested under various gear ratios conditions while a centrifugal clutch is applied to automatic gear shifting. The outcomes indicated that the automatic transmission system could successfully adjust the spinning in line with the wind speed. As a result, the obtained level of harvested voltage and power by VAWT with the automatic transmission system are improved significantly. Consequently, it is concluded that automatic VAWTs, equipped with the machine-learning capability can readjust themselves with the wind speed more efficiently.

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Section: Comparing Supervised Unsupervised and Reinforcement Machine Learning Algorithmsmentioning

confidence: 99%

A supervised machine-learning method for optimizing the automatic transmission system of wind turbines

Aladwani¹,

Ariffin²,

Mustapha³

2022

10.5267/j.esm

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“…In this study, the authors use a binary logistic model to solve this problem to help businesses stabilize their human resources. The binary logistic model has been used in prominent studies, such as Cristian et al (2020), to study the factors affecting the feasibility and competitive advantage of enterprises in the field of transportation and supply chains. Their study used five independent factors: risks related to pressure on transport prices; existence of own sales department; transport carried out mainly in the EU; existence of own dispatcher department; and the usage of online transport freight exchanges, affecting the decision to choose a transport company.…”

Section: Data Descriptionmentioning

confidence: 99%

Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach

Nguyen

2021

JRFM

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The COVID-19 pandemic impacted many socio-economic areas of countries around the world. It has made the production and business situations of enterprises face substantial difficulties. In this study, the authors used data envelopment analysis (DEA) models to assess the impact of the COVID-19 pandemic on Vietnam’s textile and garment enterprises. The authors have used the binary logistic model to determine the factors affecting employees’ decision to change jobs in the textile industry. The research results showed that the COVID-19 pandemic greatly affected the business performance of the textile and garment enterprises in Vietnam. Moreover, the results helped identify the factors affecting employee turnover and proposed solutions to help businesses stabilize their personnel situation and develop sustainable businesses in the post-COVID-19 era.

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“…New start-ups dedicated to the freight transportation sector have been developed within the last decade and created the freight technology sector (FreightTech). It refers to software companies and technologies that assist in operations in supply chain management and freight movement (Negrutiu, Vasiliu, and Enac, 2020).…”

Section: Transport Platforms -From the Electronic Freight Exchange To The Logistics Platformmentioning

confidence: 99%

Transport Platforms in the EU towards Sustainable Development

Poniatowska-Jaksch¹,

Nowicka²

2021

ERSJ

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Purpose:The article aims to create a typology of transport platforms according to Gawer`s concept in the EU, their assessment through the prism of the concept of sustainable development and regulatory challenges. Design/Methodology/Approach: It is a conceptual paper based on the desk research method. The first step of the research was a literature review and critical analysis of the reports of research agencies devoted to transportation platforms phenomena. Next, building on established platform types' model from Evans and Gawer, the verification of different transport platforms available on the EU market was conducted. Data were collected from case studies, exchange, and logistics platform websites, reports, and scientific literature.Several practical examples were studied and verified from the perspective of the theoretical platforms types' model. Then the discussion is conducted on the value creation of each type of platform identified in light of sustainable development impact in the EU. Findings: Identification with examples in the EU transport market of transactional, innovative, integrated, and investment platforms. Presentation of economic, social benefitsthe greatest for integrated platforms. Formulation of proposals for changes in the approach to regulation of the transport sector in the EU would 1) stimulate the development of platforms, 2) counteract the negative aspects of this phenomenon. Practical Implications: Classification of transport platforms that unable identification leading players of the transportation and logistics services available in the virtual world. Additionally, the way of further transportation platforms' development can be observed based on the study results. It can also help to include the transport platform solutions within activities dedicated to improving sustainable development strategies. Originality/Value: The article indicates a new approach to classify transport platforms. It discusses how these types of business models can bring added value in light of their sustainable development. It points out the actions that the EU should undertake to improve sustainability by enhancing the role of digital solutions.

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Sustainable Entrepreneurship in the Transport and Retail Supply Chain Sector

Cited by 19 publications

References 23 publications

A supervised machine-learning method for optimizing the automatic transmission system of wind turbines

A supervised machine-learning method for optimizing the automatic transmission system of wind turbines

Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach

Transport Platforms in the EU towards Sustainable Development

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