ABSTRACT
Purpose: The purpose of this paper is exploring the effects of segment dynamic and temporal dynamic triggered by the COVID-19 pandemic on classifying service quality attributes, thereby formulating improvement strategies to satisfy customers and respond to threats. Design/methodology/approach: Given the dynamics of the attractive quality theory, this paper designs a framework with four phases by embedding techniques of text mining and deep learning based on evidence from online reviews. Findings: This paper figures out dynamics of service quality attributes for distinct segments and their dynamic proportion along with different stages of the pandemic. Another finding demonstrates segment dynamic and temporal dynamic effects of sentiments toward service quality attributes on customer satisfaction under the impacts of pandemic. Classification results and improvement strategies are derived for varying segments at different pandemic situations. Practical implications: This paper reveals dynamic effects on classifying service quality attributes, which contributes to assisting hospitality practitioners from different segments in improving service quality when facing with the challenges of crisis and potential risks. Originality/value: Given hospitality industry is time- and segment-sensitive, the authors achieve the quantification of dynamics of attractive quality theory and extend it into hospitality marketing and crisis management from the perspective of dynamics with evidence from online reviews. © 2022, Emerald Publishing Limited.
ABSTRACT
Heparin is a kind of glycosaminoglycan drug with a complex structure, which is a mixture of polysaccharides with different chain lengths composed of hexuronic acid, aminohexose and its derivatives.Hexuronic acids are L-aduronic acid and D-glucuronic acid, aminohexose is α -D-glucosamine, and the modification of derivatives includes sulfation and acetylation.As a natural biomacromolecule, heparin has a variety of biological activities.It has been discovered for more than a hundred years and has good anticoagulant effect, which is clinically the first choice for anticoagulant and prevention and treatment of thromboembolic diseases.It has been discovered that there are more than one hundred functional proteins that interact with heparin.Heparin can bind to a variety of proteins and exert a variety of biological activities such as anticoagulant, anti-inflammatory, antiviral, and anti-tumor. The anticoagulant mechanism of heparin has been explained in detail, but its anti-inflammatory, antiviral, anti-tumor and other non-anticoagulant biolo-gical activities are still under extensive research, and these activities also have the potential to be developed into new drugs and new materials.Derivatives which with low anticoagulant activity and high antiangiogenic activity have been developed.In addition, sepsis-induced coagulopathy was common in patients with severe pneumonia caused by COVID-19 during the global outbreak of novel coronavirus epidemic.Heparin is effective in improving coagulation disorders and is likely to provide a better prognosis in patients with severe pneumonia.Due to its better biological activity, it also has potential applications in the field of new materials, such as being a cross-linking agent in the formation of hydrogels, and as a surface modifier of nanoparticles. This article consists of five parts, through which the author will first review the pharmacological activities of heparin in anticoagulation, anti-inflammatory and anti-tumor activities, then introduce the application of heparin in the new coronavirus, and finally give an overview of the application of heparin in new materials.
ABSTRACT
Purpose The purpose of this paper is exploring the effects of segment dynamic and temporal dynamic triggered by the COVID-19 pandemic on classifying service quality attributes, thereby formulating improvement strategies to satisfy customers and respond to threats. Design/methodology/approach Given the dynamics of the attractive quality theory, this paper designs a framework with four phases by embedding techniques of text mining and deep learning based on evidence from online reviews. Findings This paper figures out dynamics of service quality attributes for distinct segments and their dynamic proportion along with different stages of the pandemic. Another finding demonstrates segment dynamic and temporal dynamic effects of sentiments toward service quality attributes on customer satisfaction under the impacts of pandemic. Classification results and improvement strategies are derived for varying segments at different pandemic situations. Practical implications This paper reveals dynamic effects on classifying service quality attributes, which contributes to assisting hospitality practitioners from different segments in improving service quality when facing with the challenges of crisis and potential risks. Originality/value Given hospitality industry is time- and segment-sensitive, the authors achieve the quantification of dynamics of attractive quality theory and extend it into hospitality marketing and crisis management from the perspective of dynamics with evidence from online reviews.