Faculty of Public Administration

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Browsing Faculty of Public Administration by Author "Andronie, Mihai"

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    Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems
    (MDPI, 2021-10) Andronie, Mihai; Lăzăroiu, George; Iatagan, Mariana; Uță, Cristian; Ștefănescu, Roxana; Cocoșatu, Mădălina
    With growing evidence of deep learning-assisted smart process planning, there is an essential demand for comprehending whether cyber-physical production systems (CPPSs) are adequate in managing complexity and flexibility, configuring the smart factory. In this research, prior findings were cumulated indicating that the interoperability between Internet of Things-based real-time production logistics and cyber-physical process monitoring systems can decide upon the progression of operations advancing a system to the intended state in CPPSs. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March and August 2021, with search terms including "cyber-physical production systems ", "cyber-physical manufacturing systems ", "smart process manufacturing ", "smart industrial manufacturing processes ", "networked manufacturing systems ", "industrial cyber-physical systems, " "smart industrial production processes ", and "sustainable Internet of Things-based manufacturing systems ". As we analyzed research published between 2017 and 2021, only 489 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 164, chiefly empirical, sources. Subsequent analyses should develop on real-time sensor networks, so as to configure the importance of artificial intelligence-driven big data analytics by use of cyber-physical production networks.
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    Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps
    (Instytut Badań Gospodarczych /Institute of Economic Research, 2021-12) Andronie, Mihai; Lăzăroiu, George; Ștefănescu, Roxana; Ionescu, Luminița; Cocoșatu, Mădălina
    "Research background: With growing evidence of consumer adoption of mobile shopping apps,there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers'expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services.Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences. Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ""mobile shopping app"", ""mobile commerce platform"", ""mobile payment service"", ""Internet-enabled consumer device"", "" consumer technological adoption"", and ""mobile shopping behavior"". As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical,sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool. Findings & value added: The consumer purchase decision-making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps.Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services."