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Agility in the Supply Chain
Today’s marketplace is characterized by intense competitive pressures as well as high levels of turbulence and uncertainty. Organizations require... -
A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant
This paper introduces a predictive maintenance model based on Machine Learning (ML) in the context of a smart factory. It addresses a critical aspect...
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A Model of Bertrand Competition with Asymmetric Demand
The substantiation of the price decision is an interactive and complex decision-making process that involves rational choices resulting in the... -
Effects of Knowledge Management Processes by Strategic Management Accounting on Organizational Ambidexterity: Mediation of Operational Processes Under Environmental Dynamism
An important question for scholars and professionals is how knowledge management processes (KMP) supported by strategic management accounting (SMA)...
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Roman Słowiński and His Research Program: Intelligent Decision Support Systems Between Operations Research and Artificial Intelligence
This chapter is aimed to present the genesis and the development of the scientific research activity of Roman Słowiński considering his contributions... -
Remodeling Leadership: Quantum Modeling of Wise Leadership
Since the late 90s a paradigm shift began in decision research that has implications for leadership research. Due to the limitations of standard... -
Bayesian Production/Inventory Competition with Unobserved Lost Sales
We study the multi-period production/inventory competition problem of two substitutable products which are operated by two manufacturers... -
How artificial intelligence will transform project management in the age of digitization: a systematic literature review
Among the causes of the low success rate of the projects (around 35% of the total) is the low level of maturity of the technologies available for the...
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The Applications of Machine Learning in Accounting and Auditing Research
The term “machine learning” has become a buzzword in the past few years. In accounting and auditing area, while this technology has been used in... -
What do we know about the choices of entrepreneurs before the equity crowdfunding campaign?
This literature survey focuses on the pre-investment phase of equity crowdfunding, encompassing three key areas: (i) a comparative analysis of equity...
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ICT-related dynamic capabilities and SMEs’ performance: An analysis during the economic stagnation in Belarus
Information and communication technologies (ICTs) are effective in hel** firms adapt to unstable external conditions. Specifically, the development...
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Hyperparameter Tuning
Hyperparameter tuning is considered one of the most important steps in the machine learning pipeline and can turn, what may be viewed as, an... -
The impact of chinese big tech on the traditional financial market: evidence from Ant Group
Based on the actual situation of Chinese financial market, we logically deduce the risk spillover from Big Tech’s financial business to the...
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CEO selection in intergovernmental organizations: the clash between control and efficiency in governance
CEO selection is a crucial governance function influencing and driving the strategic direction of organizations. Extant research has largely assumed...
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A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network
Network reliability, named multistate stochastic cloud/edge-based network (MCEN) reliability afterwards, is defined as the probability that demands...
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Socioeconomic determinants of micro and small enterprise growth in North Wollo and Waghimira Zone selected towns
This study aims to investigate the socioeconomic determinant factors that affect the growth of micro and small enterprises (MSEs) in North Wollo and...
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Identifying Impact of the Entrepreneurship Ecosystem on the Success of Entrepreneurial Start-Up Firms
The entrepreneurship ecosystem is a widely used approach that facilitates start-ups’ growth. To date, there is a research gap concerning the... -
Transitory shocks, limited attention, and a firm’s decision to exit
This paper investigates the incidence of limited attention in a high-stakes business setting: a bar owner may be unable to purge transitory shocks...
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Agility in the Supply Chain
Today’s marketplace is characterized by intense competitive pressures as well as high levels of turbulence and uncertainty. Organizations require... -
A Summary of User Profile Research Based on Clustering Algorithm
Clustering algorithm is applicable to calculate and analyze the potential characteristics of users’ data. The results of clustering can analyze the...