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The COVID-19 lockdown has forced many organizations and employees to work from home. In such uncertain and unprecedented context, it is crucial for organizations to stimulate their employees’ creativity to adapt to new working environment and thus to sustain and improve organizational performance. This paper aims to examine how to stimulate employees’ creativity by focusing on their online knowledge sharing (OKS) behaviors, their use of online platforms and their organizations’ innovation climate in a working from home (WFH) context because of the lockdown. For empirical analysis, this research uses data from Vietnam – a developing country in the Southeast Asia.

Data are collected from employees working in Ho Chi Minh City but WFH during the COVID-19 lockdown. Structural equation models are used for analyzing the data.

Online platform use and organizational innovation climate are positively associated with creativity directly and indirectly via the mediating roles of internal and external OKS.

This research provides policymakers, organizational leaders and managers with an important evidence on how to stimulate creativity by emphasizing the roles of knowledge sharing, online platforms and innovation climate. Accordingly, relevant practical implications are also drawn to sustain or improve organizational performance in the context of WFH context because of COVID-19 lockdown. This research also contributes to knowledge management literature by providing an evidence on the relationships between online platform use, organizational innovation climate, OKS and creativity.

This research is among the early attempts that explore the associations between employees’ use of online platforms, their organizations’ innovation climate, their internal and external OKS behaviors and their creativity in the context of WFH because of a lockdown.

The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

The purpose of this paper is to analyze the effects of network-based individual social capital on the access of rural households to services.

In the context of development economics, an innovative data collection approach is used to determine network-based social capital. The approach originates from the field of sociology and entails a personal network survey. The authors define four social capital variables according to tie strength and social distance between the respondent and his/her network member.

Social network ties are not homogeneous. The econometric results suggest that social capital with weaker ties in combination with socially distant ties can potentially improve households’ access to rural services.

The empirical survey focusses on a single province in Northern Vietnam. Thus, the main limitation of the micro-study is its regional focus. A more representative sample of the whole country would be desirable to backup the policy recommendation.

The results indicate that access to services in rural Vietnam it still too personalized and subjective. Thus, a thorough review of the access procedures and making them more objective would be better choice. This would also root out a potential alley for corruption and nepotism.