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Facial recognition payment (FRP) has been recently introduced as a new cashless payment method in retail store context. Anchored on information systems and consumer theories, this research aims to investigate the key antecedents and outcomes of consumer attitudes toward this innovative payment method.

This research used a survey method to obtain data from 795 consumers at retail stores in China. The data were then analyzed by different statistical methods, including descriptive statistics, reliability analysis and structural equation modeling.

Results show that perceived usefulness, perceived ease of use and perceived innovativeness positively affect consumer attitudes toward FRP, while perceived risk negatively impacts such attitudes. In addition, consumer attitudes enhance store satisfaction, and hedonic shopping value plays a mediating role in this relationship.

This study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction.

This study contributes to the literature by explaining both the antecedents and the outcomes of consumer attitudes toward FRP in retail context. The study also provides fresh insights into how such attitudes can improve consumers' shopping values and satisfaction in an emerging market.

This paper aims to investigate the factors which influence consumer adoption of mobile payments. It also proposes strategic initiatives including integrated marketing communications to enhance and promote consumer adoption of such a mode of payments.

This paper focuses on the case of an emerging economy, Vietnam.

The key motivators of using mobile payment services include perceived usefulness, convenience, promotional offers, and social approval. In contrast, major barriers to consumer adoption of this mode of payment are lack of trust, limited opportunities for usage, complexity, and habits associated with cash payment.

Mobile payment service providers and their partners should make every effort to improve their consumers’ experience. Their marketing communication strategies should incorporate various consumer contact points such as the internet, social media, point-of-purchase communications, TV commercials, and product placement and endorsement.

This paper is among the first of its kind which provides insights on consumer adoption of mobile payments in Vietnam. Hence, it would be of interest to consumers and also to key stakeholders such as mobile payment providers, financial institutions, retailers, telecommunication companies, and policymakers.

The recent decades have witnessed the rising frequency and severity of infectious diseases in the international context and their detrimental impacts on the corporate world as a result of growing interconnection among nations. This study aims to examine the effect of previous infectious diseases (H5N1, H1N1 and MERS) on the disclosure of corporate social responsibility (CSR) among listed Chinese firms from 2006 to 2017.

Firm-level financial and CSR data of Chinese non-financial listed firms are from the China Stock Market and Accounting Research database. The data on corporate governance are collected from Bloomberg financial database. Three infectious diseases under examination are H5N1 (2006–2007), H1N1 (2009–2010) and MERS (2015–2016). This study uses the fixed-effect estimations to account for time-invariant differences among the firms in the sample.

The results reveal that Chinese firms disclose less CSR information during the time of public health crises, and this impact is more pronounced in small-sized and low-growth firms. Besides, the analysis suggests that Chinese firms are becoming more resilient to infectious diseases.

The findings provide implications for corporate stakeholders to understand corporate policies under uncertainties and inform vulnerable businesses to develop an appropriate CSR strategy in preparation for future health calamities.

This study provides new insights into how businesses react to previous epidemics and pandemics at different scales other than the COVID-19 pandemic. Besides, the findings shed light on the dynamic of firms’ CSR engagement during and after the infectious outbreaks.

This study aims to develop a benchmarking model with productivity, management, and sustainability indicators (PMS), measure the performance of furniture firms in Vietnam, explore the causes of performance gaps, and identify the barriers and factors of benchmarking practice.

The article uses both qualitative and quantitative methods. Literature review, exploratory interviews and a grounded-theory process are employed to develop a benchmarking framework and identify performance gaps, barriers and factors of benchmarking practice. The PMS benchmarking model and quantitative analysis are utilized to assess performance indicators.

The study proposes the PMS benchmarking model and measures performance indicators of furniture firms. The sources of performance gaps are explored as design, material supply, the economy of scale, market, management systems and openness. Benchmarking practice encounters barriers of difficult indicators, unsuitable firms, insufficient benchmarking knowledge, reluctance to share data, unavailable and unreliable data, and weak engagement. Benchmarking practice is determined by core factors: leader; internal factors: systems, engagement, strategy, scope, culture; external factors: customers, suppliers, associations, support, competition.

Firms could learn benchmarking indicators and the causes of these gaps to improve their performance. When implementing a benchmarking study, scholars and practitioners need to pay attention to barriers and factors of the benchmarking practice to ensure effective results.

This study develops the PMS benchmarking model and estimates performance indicators in an emerging country with the performance gap justification. It provides readers with benchmarking barriers with solutions and success factors of benchmarking practice.

This paper aims to address gaps in the sustainable technology literature by evaluating the demographics of energy efficient appliance consumption in Vietnam. Sustainable technologies can reduce greenhouse gas emissions and address environmental problems such as air quality and climate change. Opportunity is the greatest in emerging markets, where population growth has triggered dramatic rises in electricity consumption. However, their adoption of energy efficient appliances has been slow and understanding why is limited.

Following a literature review, a questionnaire was designed to capture sustainable consumption attitudes and behaviours. In total, 682 interviews were conducted among Vietnamese electrical appliance consumers to investigate the influence of demographics on sustainable technology consumption.

While many respondents were aware of the sustainable benefits of energy efficient appliances, this did not generally translate into responsible purchase behaviour. Of the demographic variables, education had the strongest relationship with sustainability. Those with higher incomes and more children were also more likely to exhibit sustainable consumption attitudes and behaviours. Gender and age were weaker sustainability predictors.

This study is relevant to a wide range of sustainable technology contexts. The literature shows contrary findings regarding relationships between demographics and sustainable consumption, and the value of demographics to sustainable consumer segmentation and targeted behaviour change campaigns has been contested by some researchers. This research highlights education as the most significant demographic predictor of sustainable consumption and reveals the consistency of this finding with many other studies. The implications of this for promoting future sustainability are discussed.

This paper aims to identify the key barriers preventing the consumer purchase of eco-friendly products in developing countries and later suggests intervention strategies to mitigate such barriers.

This paper presents the authors’ viewpoint on strategies aimed at promoting green purchases.

Key barriers to purchasing green products include their high price, scarce product availability, low level of credibility of eco-labels, and inadequate information. Mitigating these obstacles requires effective government leadership, social initiatives, and marketing strategies, some of which are discussed in this paper.

This paper would be of interest to key stakeholders including policymakers, marketers, and social-environmental organizations in the development of more effective green strategies.

This study aims to (1) identify the agricultural competitiveness of ASEAN countries in the global markets; (2) analyze the dynamics of these indicators for the period 1997–2015; and (3) test the consistency between trade indices.

The study uses RCA, RTA, and NRCA for the first objective; OLS method and Markov matrix for the second objective; and statistic tool for the final purpose.

The results show that: (1) ASEAN countries achieve the strongest competitiveness in rice, rubber, spices, vegetable fat and oils, wood, fuel wood, fish, and crustacean. Vietnam, Thailand, and Indonesia are the strongest competitive whilst Brunei, Singapore, and Cambodia are the weakest competitive; (2) They have convergent patterns in agricultural competitiveness; (3) They successfully maintain rankings of the strong competitive sectors; and (4) ASEAN countries obtain benefits from the regional integration and the specialization in competitive products.

ASEAN countries with strong competitiveness should specialize in and maintain their rankings to enhance competitiveness and maximize social welfare while the countries with weak agricultural competitiveness should specialize in the processed products and services based on their advantages of economic resources.

Comprehensive results of the static and dynamic agricultural competitiveness of ASEAN countries as a whole are provided. The findings and policy recommendations can be used by policymakers and enterprises to improve competitiveness and benefit. The discussions and findings should be a significant reference for economists.

The purpose of this paper is to analyze the market response of the aerospace and defense industry and the airline industry to the ongoing conflict between Ukraine and Russia based on the sentiments from war-related news articles over the period from October 2021 to June 2022.

The study uses the news article database of Global Database of Events, Languages and Tone (GDELT) to create a new set of variables that reflect the news sentiment regarding war and conflict. By investigating the newly created sentiment variables in combination with traditional event study methodology, the authors seek to find out whether sentiment indicators can be helpful to rationalize the evolution of the different stock markets before and after the conflict.

The authors' results point out a significant negative impact of the war on the airline market and a positive impact on the defense market. The authors' study also introduces a new set of war-related news-based sentiment variables that is significant to explain the evolution of the two markets before and after the war. The relationships between this study's new set of variables and the performance of the two markets are also proven to be significantly impacted by the invasion.

To the best of the authors' knowledge, this is the first research to use the news sentiment related to the topic of war and conflict to explain the market movement of different industries during the Ukraine invasion.

This study compares the impact of the COVID-19 pandemic on stock returns in the first two waves of infection across selected markets, given built-in corporate immunity before the global outbreak.

The data are collected from listed firms in five markets that have experienced the second wave of COVID-19 contagion, namely the United States (US), Australia, China, Hong Kong and South Korea. The period of investigation in this study ranges from January 24 to August 28, 2020 to cover the first two COVID-19 waves in selected markets. The study estimates the research model by employing the ordinary least square method with fixed effects to control for the heterogeneity that may confound the empirical outcomes.

The analysis reveals that firms with larger size and more cash reserves before the COVID-19 outbreak have better stock performance under the first wave; however, these advantages impede stock resilience during the second wave. Corporate governance practices significantly influence stock returns only in the first wave as their effects fade when the second wave emerges. The results also suggest that in economies with greater power distance, although stock price depreciation was milder in the first wave, it is more intense when new cases again surge after the first wave was contained.

This paper provides practical implications for corporate managers, policymakers and governments concerning crisis management strategies for COVID-19 and future pandemics.

This study is the first to evaluate built-in corporate immunity before the COVID-19 shock under successive contagious waves. Besides, this study accentuates the importance of cultural understanding in weathering the ongoing pandemic across different markets.

The theory of planned behavior (TPB) is the most frequently used model in knowledge sharing. However, the empirical results are inconclusive on whether TPB can provide reasonable prediction of knowledge sharing behavior (KSB). This study aims to examine TPB in knowledge sharing and identify potential moderators of relationships among constructs in TPB.

This study conducted a systematic review and meta-analysis of 26 studies examining TPB in knowledge sharing. A meta-analytical structural equation model (MASEM) was used to test original and modified TPB models and examine potential moderators.

The results show that attitude has the strongest relationship with intention, followed by perceived behavior control and then subjective norms. Intention shows the strongest association with KSB, followed by perceived behavior control. The moderator roles of culture, economic wealth and information technology support are found in the model.

This study is the first attempt to provide a systematic review and MASEM in TPB in knowledge sharing.