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Machine learning in international business
In the real world of international business, machine learning (ML) is well established as an essential element in many operations, from finance and...
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The relevance of domestic and foreign factors in driving Ghana’s business cycle
It is commonly assumed that external shocks dominate economic fluctuations in least-developed countries (LDCs), particularly commodity-exporting...
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Bayesian Hierarchical Spatial Modeling of COVID-19 Cases in Bangladesh
This research aimed to investigate the spatial autocorrelation and heterogeneity throughout Bangladesh’s 64 districts. Moran I and Geary C are used...
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A case for conducting business-to-business experiments with multi-arm multi-stage adaptive designs
Many businesses conduct experiments to scientifically test, measure, and optimize decisions in areas like sales, marketing, and operations...
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Nexus among Indian business cycle–financial cycle and Policy Uncertainty Index
Economic and policymakers have noted that policy uncertainty plays a vital role in business and financial activities. Previous research evidences...
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A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases
During a pandemic, medical specialists have substantial challenges in discovering and validating new disease risk factors and designing effective...
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Bayesian network and structural equation modeling of dependencies between country-level sustainability risks and logistics performance
The 17 Sustainable Development Goals (SDGs), introduced by the United Nations in 2015, provide a framework for individual countries to track their...
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Perceived fairness of direct-to-consumer genetic testing business models
Although consumers and experts often express concerns regarding the questionable business practices of direct-to-consumer (DTC) genetic testing...
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A pricing model for real-estate business in Bangladesh incorporating the uncertainty in buyer’s readiness: considerations during COVID-19 pandemic
The real-estate business is considered one of the significant contributors to the economy of Bangladesh. However, the sudden occurrence of the...
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A multidimensional Bayesian model to test the impact of investor sentiment on equity premium
Prior research hasn't provided convincing empirical support for two crucial issues: how investor sentiment can be measured, and can it be used to...
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Small and medium-sized enterprises as technology innovation intermediaries in sustainable business ecosystem: interplay between AI adoption, low carbon management and resilience
Small- and medium-sized enterprises (SMEs) play a critical role as innovation intermediaries (IIs) in supply chains (SCs) by adopting emerging...
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Machine Learning for Business Applications
This chapter introduces machine learning techniques and its applications in business. It covers three basic types of machine learning and various...
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Bayesian Analysis of Generalized Inverted Exponential Distribution Based on Generalized Progressive Hybrid Censoring Competing Risks Data
In this study, a competing risk model was developed under a generalized progressive hybrid censoring scheme using a generalized inverted exponential...
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Bayesian two-part multilevel model for longitudinal media use data
Multilevel models are effective marketing analytic tools that can test for consumer differences in longitudinal data. A two-part multilevel model is...
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A Bayesian analysis of gain-loss asymmetry
We perform a quantitative analysis of the gain/loss asymmetry for financial time series by using a Bayesian approach. In particular, we focus on some...
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Social Commerce Mobile Application Enhancement: a hybrid text clustering - topic modeling business model analysis
Social Commerce (S-commerce) is an emerging subset of e-commerce, enabled by Web 2.0, which is getting more attention due to the growing interest in...
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On the scientometric value of full-text, beyond abstracts and titles: evidence from the business and economic literature
Are abstracts or titles a good proxy for what an article contains? The majority of scientometric studies have used easily accessible representations...
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The role of artificial intelligence algorithms in information systems research: a conceptual overview and avenues for research
Artificial intelligence (AI) has made remarkable progress in the past decade. Despite the plethora of AI research, we lack an accrued overview of the...
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Accounting for uncertainty: an application of Bayesian methods to accruals models
We provide an applied introduction to Bayesian estimation methods for empirical accounting research. To showcase the methods, we compare and contrast...
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Long-term energy transitions and international business: Concepts, theory, methods, and a research agenda
International business and management (IB/IM) scholars are increasingly calling for more research attention to subject matter that incorporates...
