Search results

The paper aims to investigate the impact of customers’ expectations, negative emotions and regret on consumers' intention to buy Chinese clothing products in the Palestinian market.

This paper used a convenience sampling technique. The path relationship of the study model was analyzed by structural equation modeling (SEM) based on partial least squares (PLS-SEM).

Results showed that regret was affected by the negative feelings that consumers could incur after buying the product. Additionally, negative feelings and regret negatively affected consumers' intention to buy Chinese clothing products, while their expectations positively affected their decisions. However, the mediation effect of regret was approved in the relationship between negative feelings and the intention to buy.

This is to certify, that the research paper submitted by us is an outcome of our independent and original work. We have duly acknowledged all the sources from which the ideas and extracts have been taken. The project is free from any plagiarism and has not been submitted elsewhere for publication.

Clinical notes typically contain medical jargons and specialized words and phrases that are complicated and technical to most people, which is one of the most challenging obstacles in health information dissemination to consumers by healthcare providers. The authors aim to investigate how to leverage machine learning techniques to transform clinical notes of interest into understandable expressions.

The authors propose a natural language processing pipeline that is capable of extracting relevant information from long unstructured clinical notes and simplifying lexicons by replacing medical jargons and technical terms. Particularly, the authors develop an unsupervised keywords matching method to extract relevant information from clinical notes. To automatically evaluate completeness of the extracted information, the authors perform a multi-label classification task on the relevant texts. To simplify lexicons in the relevant text, the authors identify complex words using a sequence labeler and leverage transformer models to generate candidate words for substitution. The authors validate the proposed pipeline using 58,167 discharge summaries from critical care services.

The results show that the proposed pipeline can identify relevant information with high completeness and simplify complex expressions in clinical notes so that the converted notes have a high level of readability but a low degree of meaning change.

The proposed pipeline can help healthcare consumers well understand their medical information and therefore strengthen communications between healthcare providers and consumers for better care.

An innovative pipeline approach is developed to address the health literacy problem confronted by healthcare providers and consumers in the ongoing digital transformation process in the healthcare industry.

The paper aims to conceptualize how behavioral shifts in times of crisis drive the transformation of value co-creation.

Referencing two empirical contexts, the paper explores how digital service platforms facilitate changes in actors’ mental models and institutional arrangements (legal, social, technological) that drive transformation of value co-creation in service ecosystems.

The proposed conceptual framework contributes to existing research by identifying micro-level changes in actors’ mental models and macro-level changes in institutional arrangements enabled by digital service platforms in service ecosystems. In particular, the framework identifies motivation, agility and resistance as moderators of behavioral shifts in times of crisis. This account offers a finer-grained theorization of the moderating factors and underlying mechanisms of service ecosystem transformation but does not extend to the ensuing “new normal.”

The proposed framework indicates how digital platforms support shifts in actors’ behavior and contribute to the transformation of value co-creation. While the enablers are situation-specific and may therefore vary according to the prevailing conditions, the actor-related concepts advanced here seem likely to remain relevant when analyzing the transformation of value co-creation in other crisis situations.

The new conceptual framework advanced here clarifies how behavioral shifts during a crisis drive the transformation of value co-creation and suggests directions for future research.