Discovering the Relationship Between Big Data, Big Data Analytics, and Decision Making: A Structured Literature Review

This paper focuses on providing a structured literature review on the role of Big Data (BD) and Big Data Analytics (BDA) in supporting decision making. The study aims to systematize the knowledge, the primary results, and research gaps related to BD and BDA in strategic management and in decision making by providing a future research agenda. Adopting the methodology of Massaro et al. (2015), the structured literature review investigates this phenomenon analyzing a sample of 97 articles published in high-level scientific journals ranked in ABS list in the Marketing, Strategic Management, Ethics, Gender, and Social Responsibility area. Bibliometric analysis, content analysis, and the PRISMA protocol have been used for the review. The study unveils the subject of decisions, factors influencing good decisions, and the main effects of using BD and BDA in decision making. New organizational factors, data chain dynamics, and inhibitors should be explored to remove the obstacles in decision making. The relationship between BD/BDA and decision making remains underexplored in public organizations, non-profit organizations, and small and medium-sized firms

Big Data and Decision-Making: A Structured Literature Review

This study provides a structured literature review on the role of Big Data (BD) and Big Data Analytics (BDA) in supporting the decision-making. The study aims to systematize the knowledge, the primary results and research gaps related to BD and BDA in strategic management and in decision-making, providing a future research agenda. Adopting the methodology of Massaro et al. (2015), the review investigates this phenomenon through a longitudinal approach, analyzing a sample of 97 articles published in high-level scientific journals ranked in ABS list, in the Marketing, Strategic Management, Ethics, Gender, and Social Responsibility area. The study unveils the subject of decisions, factors influencing good decisions and the main effects of using BD and BDA in decision-making. Public sector, non-profit organizations and SMEs deserve more attention. Similarly, new organizational factors, data chain dynamics and inhibitors must be explored to remove the obstacles in decision-making

Big Data and Decision-Making: A Structured Literature Review

This study provides a structured literature review on the role of Big Data (BD) and Big Data Analytics (BDA) in supporting the decision-making. The study aims to systematize the knowledge, the primary results and research gaps related to BD and BDA in strategic management and in decision-making, providing a future research agenda. Adopting the methodology of Massaro et al. (2015), the review investigates this phenomenon through a longitudinal approach, analyzing a sample of 97 articles published in high-level scientific journals ranked in ABS list, in the Marketing, Strategic Management, Ethics, Gender, and Social Responsibility area. The study unveils the subject of decisions, factors influencing good decisions and the main effects of using BD and BDA in decision-making. Public sector, non-profit organizations and SMEs deserve more attention. Similarly, new organizational factors, data chain dynamics and inhibitors must be explored to remove the obstacles in decision-making

A non-hydrolytic sol-gel approach for the preparation of MgxAl2(1-x)Ti(1+x)O5 powders

The study of non-hydrolytic reactions for the synthesis of MgxAl2(1-x)Ti(1+x)O5 solid solution with x = 0.6 is reported. The reagents chosen were Al(OsBu)(3), Ti(OiPr)(4), TiCl4 and Mg(NO3)(2).6H(2)O in toluene. The reactions were followed using C-13 Nuclear Magnetic Resonance (NMR) spectroscopy. Sol-gel synthesized powders were calcined in air at 300, 500, 1000, and 1200degreesC for 1 h. The powders were analysed by X-Ray Diffraction (XRD) demonstrating the formation of a Mg0.6Al0.8Ti1.6O5 phase in samples treated at the higher calcination temperature

Silica containing composite anion exchange membranes by sol–gel synthesis: a short review

This short review summarizes the literature on composite anion exchange membranes (AEM) containing an organo-silica network formed by sol-gel chemistry. The article covers AEM for diffusion dialysis (DD), for electrochemical energy technologies including fuel cells and redox flow batteries, and for electrodialysis. By applying a vast variety of organically modified silica compounds (ORMOSIL), many composite AEM reported in the last 15 years are based on poly (vinylalcohol) (PVA) or poly (2,6-dimethyl-1,4-phenylene oxide) (PPO) used as polymer matrix. The most stringent requirements are high permselectivity and water flux for DD membranes, while high ionic conductivity is essential for electrochemical applications. Furthermore, the alkaline stability of AEM for fuel cell applications remains a challenging problem that is not yet solved. Possible future topics of investigation on composite AEM containing an organo-silica network are also discussed

Hydration and Proton Conductivity of Ionomers: The Model Case of Sulfonated Aromatic Polymers

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A covalent organic/inorganic hybrid proton exchange polymeric membrane: synthesis and characterization

Commercial polyetheretherketone (Victrex PEEK) was sulfonated up to 90% degree of sulfonation (DS), then reacted with SiCl4 to obtain a hybrid polymer. The product was characterized by 29-Si NMR and ATR/FTIR spectroscopies demonstrating the formation of covalent bonds between the organic and inorganic components. No dispersed inorganic silicon was present in the product as evidenced by the lack of any resonance at 100 ppm. Despite the high DS the physicochemical properties of the hybrid were suitable for the preparation of membranes exhibiting high and stable conductivity values (10K2 S/cm), hence suitable for application as ion exchange membrane

Sulfonated polyether ether ketone-based composite membranes doped with a tungsten-based inorganic proton conductor for fuel cell applications

Sulfonated polyether ether ketone (SPEEK)-based composite membranes doped with hydrated tungsten oxide were prepared and studied for proton exchange membrane applications. Hydrated tungsten oxide (W O3 ·2 H2 O) was synthesized via acidic hydrolysis of sodium tungstate and its structure and physicochemical features were investigated by thermogravimetric analysis (TG), X-ray diffraction (XRD), and electrochemical impedance spectroscopy (EIS). SPEEK/ W O3 ·2 H2 O composite membranes were prepared by mixing proper amounts of SPEEK and hydrated W O3 in dimethylacetamide as casting solvent. The composite membranes were characterized by XRD, TG-DTA, EIS, and water uptake measurements as a function of the oxide content in the membrane. In particular, XRD patterns as well as TG measurements indicated the existence of a coordinative interaction between the water molecules of tungsten oxide and the SPEEK sulfonic acid groups. This interaction lead to the enhancement of the membrane proton conductivity, as well as of their properties, from the point of view of heat resistance and water solubility. In fact, the addition of tungsten oxide resulted in higher proton conductivity, improved heat resistance, and lower water solubility. © 2006 The Electrochemical Society. All rights reserved