Ralf W. Wilhelms, Mohammed K. Shaki and Cheng‐Fu Hsiao
The purpose of this paper is to provide a new perspective on existing definitions of culture and systems for classifying cultures, leading to a standardized model for describing…
Abstract
Purpose
The purpose of this paper is to provide a new perspective on existing definitions of culture and systems for classifying cultures, leading to a standardized model for describing and categorizing cultures.
Design/methodology/approach
A review of the literature on definitions of culture and systems for classifying cultures is presented; a model for standardization of these definitions and systems is proposed, illustrated, and described; the potential benefits to cultural researchers of a comprehensive, standardized model are presented.
Findings
There is a need for a comprehensive, standardized model for definition and classification of cultures; creation of such a model is possible by combining elements from existing, segmented definitions and classification systems.
Research limitations/implications
A standardized classification model is offered as a basis for cultural research, subject to adoption and validation by researchers worldwide.
Practical implications
If the proposed standardized model is adopted and validated by researchers worldwide, study findings will be communicated more clearly and more widely, and the quality and global application value of cultural research will be enhanced.
Originality/value
A review of the literature reveals segmented studies on cultures but no generally accepted model for looking at the “big picture” of human cultures, their evolution and interactions; the proposed model offers a framework for such a perspective.
Details
Keywords
This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North…
Abstract
This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.
Debarshi Mukherjee, Ranjit Debnath, Subhayan Chakraborty, Lokesh Kumar Jena and Khandakar Kamrul Hasan
Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent…
Abstract
Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent on social media and online platforms to gather travel-related information, purchase travel products, food, lodging, etc., and share views and experiences. The user-generated data helps companies make informed decisions through predictive and behavioural analytics.
Design/Methodology/Approach: This study uses text mining, deep learning, and machine learning techniques for data collection and sentiment analysis based on 117,151 online reviews of the customers posted on the TripAdvisor website from May 2004 to May 2019 from 197 hotels of five prominent budget hotel groups spread across India using Feedforward Neural Network along with Keras package and Softmax activation function.
Findings: The word-of-mouth turns into electronic word-of-mouth through social networking sites, with easy access to information that enables customers to pick a budget hotel. We identified 20 widely used words that most customers use in their reviews, which can help managers optimise operational efficiency by boosting consumer acceptability, satisfaction, positive experiences, and overcoming negative consumer perceptions.
Practical Implications: The analysis of the review patterns is based on real-time data, which is helpful to understand the customer’s requirements, particularly for budget hotels.
Originality/Value: We analysed TripAdvisor reviews posted over the last 16 years, excluding the Corona period due to industry crises. The findings reverberate in consonance with the performance improvement theory, which states feed-forward a neural network enhances organisational, process, and individual-level performance in the hospitality industry based on customer reviews.