Synchrony of transportation planning with revealed public preferences and expectations has traditionally been difficult to achieve. In other domains, such as manufacturing and design, frameworks have been developed using data-driven analytic processes to extract customer preferences and...

The COVID-19 pandemic has had a devastating impact on the world. The surge in the number of daily new cases and deaths around the world and in South Africa, in particular, has increased fear, psychological breakdown, and uncertainty among the population during the COVID-19 pandemic period,...

In today's fast-paced business environment, leaders who fail to recognize and respond to the emotions of their employees can result in stagnation or a lack of growth in their organization. In light of this, the current study presents a method for identifying leadership styles based on the...

This paper seeks to estimate the extent to which market-implied policy expectations could be improved with further information disclosure from the FOMC. Using text analysis methods based on large language models, we show that if FOMC meeting materials with five-year lagged release dates-like...

The purpose of this work is to study the issues of service quality and service failure during visits to cellar doors in the five regions where wine tourism is most developed: Hunter Valley (AU), Mendoza (AR), Napa Valley (the USA), Stellenbosch (ZA), and Tuscany (IT). We propose a methodology...

Purpose. The purpose of this study is to examine the internal consistency of wine guides by comparing the judgements of expert wine tasters and reviewers. A classification of wines is provided to establish whether expert reviews of similar wines are coherent. Design/methodology/approach....

Empirical evidence points to globalization to be favorable for the growth and development of a nation. For the Philippines, trade openness and foreign portfolio helped increase per capita GDP as investment and productivity improve. With trade openness and globalization, nations share and gain...

The context of this article is a larger, ongoing postdoctoral research that looks into the relationship between opinion mining - more precisely sentiment analysis - and the conflict between Russia and Ukraine that started in February 2022. The postdoctoral research aims to analyze political...

The digital transformation, with its ongoing trend towards electronic business, confronts companies with increasingly growing amounts of data which have to be processed, stored and analyzed. Instant access to the “right” information at the time it is needed is crucial and thus, the use of...

This study tries to unravel the stock market prediction puzzle using the textual analytic with the help of natural language processing (NLP) techniques and Deep-learning recurrent model called long short term memory (LSTM). Instead of using count-based traditional sentiment index methods, the...