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Expanding data literacy to include data preparation: building a sound marketing analytics foundation
The current digital landscape is evolving at an increasingly rapid pace where “data is the new oil” of the global economy. Like oil, extracting value...
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Big Data Analytics Adoption in Manufacturing Companies: The Contingent Role of Data-Driven Culture
The objective of this paper is to investigate the factors that influence the adoption of Big Data Analytics (BDA) in manufacturing companies and...
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A multi-agent based big data analytics system for viable supplier selection
The world is characterized by volatility, uncertainty, complexity, and ambiguity (VUCA). In such an environment, the viability in terms of...
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The impact of ambidextrous traditional and contemporary data analytics on marketing innovation
Businesses today operate in a digital transformation era which relates to accumulation of internet-based technologies that reshape how companies...
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Big data analytics management capability and firm performance: the mediating role of data-driven culture
The effect of big data analytics on firm performance and the effects of intermediary variables on this relationship are not yet clearly understood....
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Big data analytics in mitigating challenges of sustainable manufacturing supply chain
Manufacturing Supply Chain (MSC) becomes more complex not only from the business viewpoint but also for environmental care and sustainability....
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Fundamentals of Data Analytics
This chapter gives an introduction to the methodological foundations of data analytics that is required for an effective reading of the subsequent...
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Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines
Taxonomies can serve as a valuable tool to capture dimensions and characteristics of data analytics solutions in a structured manner and thus create...
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Synthesizing Knowledge through A Data Analytics-Based Systematic Literature Review Protocol
Systematic literature reviews (SLR) are commonly undertaken by researchers to stay informed of the latest development in a particular topic, but this...
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Performing web analytics with Google Analytics 4: a platform review
In March 2022, Google announced that their flagship Universal Analytics (UA) platform would stop processing new website sessions on July 1, 2023...
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Rethinking Data Acquisition to Data Analytics in Bioprocessing
High-throughput experimentation systems advanced (online) sensor technologies, high-resolution product analytics, and advanced and automated data...
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Emerging practices and research issues for big data analytics in freight transportation
Freight transportation has been experiencing a renaissance in data sources, storage, and dissemination of data to decision makers in the last...
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Big data and predictive analytics and Malaysian micro-, small and medium businesses
Innovative technologies such as big data and predictive analytics are facilitating a global revolution in operational management. The present study...
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Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
Data science and big data analytics (DS &BDA) methodologies and tools are used extensively in supply chains and logistics (SC &L). However, the...
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Data analytics-based auditing: a case study of fraud detection in the banking context
For a long time, decision-making in auditing was limited to a risk-oriented recommendation and consisted of the rigorous analysis of a sample of...
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Management of resource sharing in emergency response using data-driven analytics
This research models a medical resource-sharing problem with three powerful techniques in analytics: mixed-integer linear programming (MILP), deep...
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The effects of analytics capability and sensing capability on operations performance: the moderating role of data-driven culture
Studies indicate that organizational capability is a key factor in operational performance, and that both sensing and analytics capabilities have a...
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Data Analytics in Action
The previous chapters provided gentle introductions to various important topics in the area of data analytics. In this chapter, we present three...
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Measuring benefits from big data analytics projects: an action research study
Big data analytics (BDA) projects are expected to provide organizations with several benefits once the project closes. Nevertheless, many BDA...
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Urgency in Healthcare Data Analytics
The presence of big data is caused by electronic systems applied by governments, hospitals, clinics, and healthcare professionals. Healthcare...