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Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study …
The importance of big data analytics, artificial intelligence, and machine learning has been
at the forefront of research for operations and supply chain management. Literature has …
at the forefront of research for operations and supply chain management. Literature has …
[HTML][HTML] Sustainability assessment and engineering of emerging aircraft technologies—Challenges, methods and tools
Driven by concerns regarding the sustainability of aviation and the continued growth of air
traffic, increasing interest is given to emerging aircraft technologies. Although new …
traffic, increasing interest is given to emerging aircraft technologies. Although new …
Exploring servitization through the paradox lens: Co** practices in servitization
The study analyzes the co** practices that emerge when a manufacturer of standardized
products and add-on services expands to provide customized solutions. Based on a …
products and add-on services expands to provide customized solutions. Based on a …
Digital transformation for safer circular lithium-ion battery supply chains: a blockchain ecosystem-data perspective
Lithium-ion battery (LIB) circular supply chains (CSCs) present unique safety challenges
among operation processes. Blockchain technology can be a promising solution for …
among operation processes. Blockchain technology can be a promising solution for …
Information systems and operations/supply chain management: A systematic literature review
The purpose of this systematic literature review is to answer the following questions: 1)
Which topics show the most promise as emerging themes within the intersection of …
Which topics show the most promise as emerging themes within the intersection of …
A recipe for big data value creation
Purpose The purpose of this paper is to present a process-theory-based model of big data
value creation in a business context. The authors approach the topic from the viewpoint of a …
value creation in a business context. The authors approach the topic from the viewpoint of a …
Detection and correction of abnormal data with optimized dirty data: a new data cleaning model
Each and every business enterprises require noise-free and clean data. There is a chance
of an increase in dirty data as the data warehouse loads and refreshes a large quantity of …
of an increase in dirty data as the data warehouse loads and refreshes a large quantity of …
A Framework for Evaluation and Improvement of Open Government Data Quality: Application to the Western Balkans National Open Data Portals
Open Government Data (OGD) has become a widely employed tool by governments around
the world to promote transparent and accountable policy-making. In the context of societal …
the world to promote transparent and accountable policy-making. In the context of societal …
Incorporating data quality into a multi-product procurement planning under risk
Purpose In the data-driven era, the quality of the data exchanged between suppliers and
buyer can enhance the buyer's ability to appropriately cope with the risks and uncertainties …
buyer can enhance the buyer's ability to appropriately cope with the risks and uncertainties …
[HTML][HTML] Cost-based analysis of the impact of data completeness and representational consistency
Data quality is an important topic for businesses and therefore requires appropriate analysis
tools. Although several rule-based systems exist today for quality measurement, their results …
tools. Although several rule-based systems exist today for quality measurement, their results …