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Article
Publication date: 16 October 2017

Thich Van Nguyen, Nam Cao Nguyen and Ockie J.H. Bosch

The purpose of this paper is to identify the leverage points in the Vietnamese coffee supply chain (SC) that would be used for increasing competitive advantages of the product.

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Abstract

Purpose

The purpose of this paper is to identify the leverage points in the Vietnamese coffee supply chain (SC) that would be used for increasing competitive advantages of the product.

Design/methodology/approach

A sequential approach by combining two established modelling techniques (causal loop diagram and Bayesian belief networks) was applied to identify the leverage points in the Vietnamese coffee SC for increasing the competitive advantages of the product. Data for the study were collected from a series of workshops and in-depth interviews with numerous relevant stakeholders of the coffee industry in the central highland of Vietnam.

Findings

The systems’ archetypes were developed and a sensitivity analysis was conducted to identify potential factors that can increase the competitive advantages of coffee production. The results indicate that higher investment in all elements of the coffee SC will lead to an enhanced competitive advantage.

Originality/value

Supply chain management (SCM) has become a potentially valuable method for improving competitive advantages, as competition is no longer only between organizations but also among SCs. Therefore, this research focus on enhancing the competitive advantages of production via SCM.

Details

Competitiveness Review: An International Business Journal, vol. 27 no. 5
Type: Research Article
ISSN: 1059-5422

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Article
Publication date: 17 July 2023

Nghia Nguyen, Thuy-Hien Nguyen, Yen-Nhi Nguyen, Dung Doan, Minh Nguyen and Van-Ho Nguyen

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

Details

Journal of Hospitality and Tourism Insights, vol. 7 no. 3
Type: Research Article
ISSN: 2514-9792

Keywords

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Article
Publication date: 23 March 2012

John Kendall

66

Abstract

Details

Reference Reviews, vol. 26 no. 3
Type: Research Article
ISSN: 0950-4125

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Article
Publication date: 17 November 2021

Quynh Nguyen, Adele Ladkin and Hanaa Osman

Drawing from emotional labour (EL) and emotion regulation (ER) theories, this paper aims to identifiy what helps and what hinders the emotional intelligence (EI) practice of…

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Abstract

Purpose

Drawing from emotional labour (EL) and emotion regulation (ER) theories, this paper aims to identifiy what helps and what hinders the emotional intelligence (EI) practice of Vietnamese hotel workers. Researching EI qualitatively from a novel context highlights the influence of culture on EI.

Design/methodology/approach

The critical incident technique (CIT) was adopted as the qualitative methodological approach using a self-administered form and semi-structured interviews to collect empirical data from a sample of 34 Vietnamese hotel workers in 19 different hotels.

Findings

The findings show that following Joseph and Newman’s (2010) cascading model of EI would help hotel workers in their practice. The research also found different factors hindering the EI practice from the individual and organisational levels. Vietnamese culture was believed to guide deep-acting and meditation. Language barrier and manager support emerged as significant factors that could help or hinder their EI practice.

Research limitations/implications

The research proposes a conceptual framework addressing the factors that could help or hinder the EI practice and provides implications for HR practices and management. Caution could be taken when applying the research implications because of the small sample as a nature of qualitative research.

Originality/value

To the best of the authors’ knowledge, this is the first attempt to appraise the EI practice adopting the CIT as a qualitative methodological approach in an under-research context and add evidence to the theoretical links between EI, EL and ER.

Details

International Journal of Contemporary Hospitality Management, vol. 34 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

Available. Open Access. Open Access
Article
Publication date: 29 January 2024

Nguyen Minh Quang, Nozomi Kawarazuka, Thien Ngoc Nguyen-Pham, Thu Hoai Nguyen, Hieu Minh Le, Tho Thi Minh Tran and Thoa Thi Ngoc Huynh

Recognition that not every climate adaptation policy is a good one has shifted attention to new tools and methods to measure the adequacy and effectiveness of adaptation policies…

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Abstract

Purpose

Recognition that not every climate adaptation policy is a good one has shifted attention to new tools and methods to measure the adequacy and effectiveness of adaptation policies. This study aims to propose and apply and applies an innovative adaptation policy assessment framework to identify the extent to which climate adaptation policies in Vietnam exhibit conditions that are likely to ensure a sufficient, credible and effective adaptation.

Design/methodology/approach

In total, 21 conditions, categorized under five normative principles and covering critical issue areas in adaptation domain, form the climate adaptation policy assessment framework. The principles were double-checked and tested in case studies through observations and analyses of policy documents to ensure that each condition should be distinct and not overlapping across principles. To see if the principles and attendant conditions were able to capture all relevant aspects of adaptation, the authors used structured expert judgment. In total, 39 policy documents pertaining to climate change adaptation were selected for qualitative document analysis. In-depth interviews with local officials and experts were conducted to address data gaps.

Findings

The study reveals major weaknesses constituting a reasonably worrisome picture of the adaptation policies in Vietnam since several critical conditions were underrepresented. These results shed new light on why some adaptation policies falter or are posing adverse impacts. The findings suggest that a sound policy assessment framework can provide evidence on what effective adaptation policy looks like and how it can be enabled. The framework for climate adaptation policy assessment in this study can be easily adjusted and used for different socio-environmental contexts in which new conditions for policy assessment might emerge.

Social implications

The findings show underlying weaknesses constituting a reasonably worrisome picture of the adaptation regime in Vietnam. In the absence of mechanisms and measures for accountability and transparency in policy processes, adaptation in Vietnam appears more likely to be prone to maladaptation and corruption. While solving these problems will not be easy for Vietnam, the government needs to evaluate whether the short-term gains in sustaining the existing adaptation policies really make progress and serve its long-term climate-adaptive development goals.

Originality/value

Although interpretations of adaptation effectiveness may be very divergent in different normative views on adaptation outcomes, the authors argue that a common, agreed-upon effectiveness can be reached if it is clearly defined and measurable in adaptation policies. Thus, the climate adaptation policy assessment framework proposed in this study is critical for policymakers, practitioners, donors and stakeholders dealing with adaptation to better understand the weaknesses in policymaking processes, pinpoint priority areas of action and timely prevent or prepare for possible adverse impacts of policies.

Details

International Journal of Climate Change Strategies and Management, vol. 16 no. 1
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 3 August 2020

Cau Ngoc Nguyen, Wei Ning, Albi Alikaj and Quoc Nam Tran

This study aims to examine the impact of managerial use of motivating language on employee absenteeism, turnover intention, job satisfaction and job performance for employees from…

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Abstract

Purpose

This study aims to examine the impact of managerial use of motivating language on employee absenteeism, turnover intention, job satisfaction and job performance for employees from three nations: India, the USA and Vietnam.

Design/methodology/approach

Data is collected from 614 employees working in India, the USA and Vietnam. A variance-based partial least squares structural equation modeling technique is used to test the hypotheses. In addition, a statistical test is used to examine the statistical differences in the results across the three nations.

Findings

The findings are consistent with the motivating language theory, in that managerial use of motivating language can be an effective strategy in motivating employees. Specifically, motivating language is found to significantly decrease employee absenteeism and turnover intention, as well as significantly increase job satisfaction and performance across the three nations. The effect sizes indicate that, across all samples, motivating language has a medium effect for all employee outcomes, except absenteeism, which is shown to have a small effect size. Moreover, the results indicate that employees in different cultures perceive and interpret the leader’s use of motivating language in different ways. Whereas motivating language may receive greater success in promoting workers’ job performance in eastern cultures, it is also more effective in retaining employees in western cultures.

Originality/value

The study adds to the literature in three major ways. First, it provides evidence for two understudied relationships: motivating language and absenteeism and motivating language and turnover intention. Second, it assesses the generalizability of the motivating language theory by investigating data from India, the USA and Vietnam. Finally, this paper offers a statistical comparison of the three samples to analyze how the relationship between motivating language and worker outcomes differ among the three samples.

Details

Management Research Review, vol. 44 no. 2
Type: Research Article
ISSN: 2040-8269

Keywords

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