In contemporary times, nations across the globe, encompassing both developed and emerging economies, are actively pursuing the objective of achieving sustainable economic growth. China, as a prominent emerging nation, holds a significant position in the worldwide environment. However, it is...

The whole purpose of the present research was to advance the comprehension of the mediating effect of emotional advertising on consumer decision-making style and purchase intention. A conceptual framework showing linkages among variables, based on past literature was made which is tested with...

Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired by the structure and function of the human brain. In the context of supply chain management, ANNs can be used for demand forecasting, inventory optimization, logistics planning, and anomaly detection. ANNs help...

Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue, and this could be achieved only by understanding the customers more. Customer lifetime value (CLV) is the total monetary value of transactions or purchases made by a customer with the...

Artificial Intelligence (AI) algorithms can be employed to enhance the security of the blockchain networks in the era of industry 4.0. Smart contracts, powered by blockchain, can be developed by using the AI capabilities. These contracts can execute themselves based on predefined conditions,...

In this study, we develop a dynamic system model that exhibits only one stable solution (sink) to analyze the impact of various factors on low-carbon transition, including policy implications, energy consumption, and energy capacity. Our aim is to provide policy recommendations based on the...

This paper explores the effects of innovation efficiency on technology gap and product diversity between a leading firm and its competitor. Our analysis shows some interesting results: when innovation efficiency is sufficiently large and increases, the leading firm may expand technology gap, and...

The proliferation of plug-in electric vehicles (PEVs) advocates a distributed paradigm for coordinating PEV charging. Unlike existing primal-dual decomposition or consensus methods, this paper proposes a cutting-plane-based distributed algorithm considering a peer-to-peer (P2P) communication...

Escalation of extreme weather events represents substantial threat to power system infrastructure. Mobile emergency generators (MEGs) can form part of a flexible restoration strategy against such destructive events. However, with continued expansion of distribution networks, quantification of...

With the rise of the digital economy and the depression in the travel industry due to the Covid-19 pandemic, the feasibility and profitability of innovative products on digital platforms, such as probabilistic selling, have garnered significant public attention. This paper utilizes a Salop...