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Reshoring manufacturing: the influence of industry 4.0, Covid-19, and made-in effects
Empirical investigations of how the reshoring of manufacturing is affected by Industry 4.0 technologies, supply chain disruptions, and made-in...
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Free disposal hull models of multicomponent technologies
Free disposal hull (FDH) is a nonparametric model of production technology based on the single assumption of free disposability of all inputs and...
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Revolutionizing consumer insights: the impact of fMRI in neuromarketing research
This study performs a comprehensive bibliometric (performance analysis) and thematic content analysis of global research in "neuromarketing or...
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Dynamic capabilities as a moderator: enhancing the international performance of SMEs with international entrepreneurial orientation
This paper explores the impact of International Entrepreneurial Orientation (IEO) on the international performance of Small and Medium-sized...
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Social media influencer streamers and live-streaming shop**: examining consumer behavioral intention through the lens of the theory of planned behavior
The rapid development of live streaming has given rise to live-streaming shop**, a novel channel of online shop** that has gained considerable...
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A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres
The COVID-19 pandemic has profoundly impacted global logistics and supply chains, resulting in widespread disruptions due to outbreaks, labour...
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A dynamic simulation model to improve the livability of transportation systems
Transportation users often face shortcomings, such as unreliable service causing uncertainty in transit, low quality of service, and loss of time due...
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Stable pushing in narrow passage environment using a modified hybrid A* algorithm
Pushing is a fundamental ability in mobile robotics for transporting objects when grippers are not applicable. A successful “box-pushing” requires...
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GreenPLM: the concept of sharing community knowledge for new green product development and process planning
The issue of eco-friendliness and sustainable development is crucial in various domains of our lives. This also affects the production of products...
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Godfather Marketing: offering favors before products
Disruptive shifts in the current environment are engendering uncertainty, radically changing market relationships and consumers’ priorities. This...
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Digital Sustainability for Energy-Efficient Behaviours: A User Representation and Touchpoint Model
In response to climate change, nations have been tasked with reducing energy consumption and lessening their carbon footprint through targeted...
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Food and technology: Using digital devices for restaurant orders leads to indulgent outcomes
Restaurants are increasingly opting for technological innovations for food ordering. While digital modes of ordering, such as kiosks, tablets, and...
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The effect of Porter’s competitive forces on competitive advantage and organisational performance and the moderating role of management accounting practices
This study examines the effect of the intensity of competitive forces on organisational performance and competitive advantage and the moderating role...
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Small-scale family famers’ perceptions of food security in their respective communities in la macarena meta, Columbia
The municipality of La Macarena, Meta, due to its biodiversity, has the natural conditions to guarantee food security to its inhabitants. However, a...
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Virtual Experiences, Real Memories? A Study on Information Recall and Recognition in the Metaverse
There are high expectations towards extended reality (XR), namely the “metaverse”. However, human performance in the metaverse has been called into...
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Smoothed semicovariance estimation for portfolio selection
Downside risk measures, such as semivariance, are essential for evaluating investment risk. Focusing on semivariance allows investors to emphasize...
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Coworking spaces for remote workers: an inclusive solution? Advantages and challenges from affiliated workers’ perspectives
Some companies are considering offering their affiliated workers external coworking spaces as an option to achieve both flexibility and inclusion,...
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Unlocking Online Insights: LSTM Exploration and Transfer Learning Prospects
Machine learning algorithms can improve the time series data analysis as compared to the traditional methods such as moving averages or...
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Deep learning for derivatives pricing: a comparative study of asymptotic and quasi-process corrections
In this study, we compare two methods for using neural networks to efficiently learn the price of derivatives. The first method, proposed by...
