Tallinn University of Technology

About: Tallinn University of Technology is a education organization based out in Tallinn, Estonia. It is known for research contribution in the topics: European union & Computer science. The organization has 3688 authors who have published 10313 publications receiving 145058 citations. The organization is also known as: Tallinn Technical University & Tallinna Tehnikaülikool.

TG-DTA study of melamine-urea-formaldehyde resins

Abstract: The thermal behaviour of MUF resins from different suppliers with different content of melamine was studied, along with the 13C NMR spectroscopic analysis of resin structure and the testing of particleboards in current production at Estonian PB factory Parnu Plaaditehas AS. The chemical structure of resins from DMSO-d6 solutions was analysed by 13C NMR spectroscopy on a Bruker AMX500 NMR spectrometer. The melamine level in different MUF resins is compared by the ratios of carbonyl carbon of urea and triazine carbon of melamine in 13C NMR spectra. Curing behaviour of MUF resins was studied by stimultaneous TG-DTA techniques on the Labsys™ instrument Setaram. The shape of DTA curves characterisises the resin synthesis procedure by the extent of polymerisation of UF and MF components and is in accordance with structural data.

Customer brand engagement during service lockdown

Abstract: While customer brand engagement (CBE) research has advanced important insight, most studies to-date explore CBE under regular, free-market conditions, yielding an important knowledge gap regarding its manifestation under less regular conditions, including disaster/pandemics. We therefore explore CBE with essential/non-essential service during COVID-19-prompted citizen lockdown. Based on a review, we develop a framework of lockdown-based CBE with essential/non-essential service interactions, which are conceptualized by their respective capacity to meet differing needs in Maslow’s hierarchy. We view lockdown-based essential/non-essential service interactions to differentially impact CBE, as summarized in a set of Propositions. The framework depicts lockdown-based essential/non-essential service interactions and their respective impact on CBE. We propose two essential service modes (i.e., socially distant/platform-mediated interactions) and two non-essential service modes (i.e., service closure/platform-mediated interactions), which we hypothesize to differently affect CBE. Moreover, we view the associations between our lockdown-based service modes and CBE to be moderated by customers’ regulatory focus (i.e., promotion/prevention), as formalized in our Propositions. Given our focus on lockdown-based CBE, this paper adds unique insight to the literature. It also raises ample opportunities for further study, as outlined. This research yields important managerial implications, including the suggested adoption of differing tactics/strategies to leverage promotion/prevention-focused customers’ brand engagement during lockdown. By exploring the effects of lockdown-based essential/non-essential service modes on promotion/prevention-focused customers’ brand engagement, this paper adds novel insight.