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Customer incivility is a crucial issue that has multiple negative effects on organizations, especially in the hospitality industry. This study identified the antecedents of customer incivility and investigated its outcomes on frontline employees (FLEs) in the emerging market of Vietnam.

This study used a quantitative methodology featuring interviews with 476 FLEs who frequently experienced customer incivility in Vietnamese restaurants and hotels. The data were analyzed using structural equation modeling.

The findings demonstrated four antecedents of customer incivility (training/knowledge, FLE incivility, service orientation, and environment) and three outcomes (revenge motivation, service sabotage, and turnover intention), as well as the mediating role of revenge motivation.

Managers can establish and upgrade training lessons with different syllabi for numerous FLE groups to improve staff perceptions and enhance the organization’s service orientation and environment, which can support the minimization of revenge motivation, service sabotage, and turnover intention among frontline staff members.

This study highlights how impactful customer incivility is and how to eliminate it by clarifying its origins and effects in Vietnamese hotel and restaurant organizations.

Customer incivility is a key phenomenon with various harmful consequences for businesses, particularly in the food and beverage industry. This study investigated the antecedents of this issue and explored its outcomes for frontline employees in Vietnam.

This study used quantitative methodology to survey 780 participants who frequently experienced customer incivility in cafés and bubble tea shops. Structural equation modeling was used to examine the data.

The results revealed three antecedents of customer incivility – employee incivility, selling and customer orientation – as well as outcomes such as revenge motivation, emotional exhaustion, service sabotage and job performance, along with two mediating effects.

Managers can create and enhance additional training classes with varied curricula for different staff groups to foster their perspectives and understand an organization's customer orientation, eliminating vengeance motives, emotional strain, service sabotage and workplace performance.

This study emphasizes the importance of customer incivility and how it can be minimized by examining its causes and consequences in Vietnamese cafés and bubble tea shops.

This study uses a comprehensive theoretical framework that combines social cognitive theory and neighborhood effect to investigate the influence of neighborhood effects on farmers’ outcome expectations, observational learning and self-efficacy. This study aims is to analyze the mechanisms that underlie the adoption of social media by farmers for knowledge exchange in the agricultural context. Specifically, this research explores the role of neighborhood effects, outcome expectations, observational learning and self-efficacy in shaping farmers’ decision-making process regarding the use of social media platforms for exchanging agricultural knowledge.

The study data was collected through a sample survey conducted among 570 agricultural households residing in the provinces of Thai Nguyen, Cao Bang, Bac Kan and Phu Tho, located in the northern region of Vietnam. To analyze the data, structural equation modeling was used as the statistical technique of choice.

The findings of the study indicate a significant influence of neighborhood effects on outcome expectations, observational learning and self-efficacy. These factors, derived from social cognitive theory, also exhibit a positive association with farmers’ adoption of social media for knowledge exchange. Additionally, the study highlights that neighborhood contribute to a favorable adoption of social media among farmers via outcome expectations, observational learning, and self-efficacy.

The study is limited in examining farmers’ social media adoption for agriculture knowledge exchange in Northern mountainous area of Vietnam. This study could be replicated across various regions or nations, providing comparative insights into the adoption of social media among farmers for knowledge exchange.

The study findings suggest practical and innovative means to promote farmers’ social media adoption for agriculture knowledge exchange.

This study presents a pioneering approach by integrating social cognitive theory and neighborhood effect to elucidate the factors influencing farmers’ adoption of social media for the purpose of agriculture knowledge exchange.

This study analyzes whether farmers' incomes increase as they participate in online groups.

The study analyzed interview data from 673 farming households in three mountainous provinces of northern Vietnam, utilizing the propensity score matching (PSM) method.

The empirical results reveal that farmers participating in online groups, particularly those engaged in 1–3 groups, experience an increase in their income attributed to the three advantages of sharing-accessing-saving (SAS) information. Farming households engaged in online groups earn higher incomes, ranging from equivalent to 25.78 to 26.96 USD, in comparison to those who do not participate. Notably, farmers participating in 1–3 online groups outpace their counterparts in 4–5 groups in terms of income.

This study exclusively focuses on examining farmers' total income derived from all their agricultural activities and does not quantify the specific impact of online group participation on the income generated by each product. Furthermore, it is important to note that the PSM method has the potential to introduce bias due to unobserved factors, such as social networks and local culture. Consequently, future research should prioritize the segmentation of income from individual agricultural products, distinct from the overall income, to gain a more nuanced understanding of each product’s sensitivity to information exchanged in online groups. Simultaneously, accounting for unobserved factors is crucial to obtain unbiased estimates.

This study represents the inaugural exploration into the comparison of farmers' incomes within a novel context – participation in digital-based groups. Furthermore, it extends the inquiry by delving into the correlation between the number of online groups joined and farmers' income. The empirical findings indicate that farmers may benefit the most by limiting their participation to a select few groups that align with their information needs and analytical abilities.

This study investigates the impact of human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) for accelerating the digitalization process and improving the firm performance. It also studies the role of supply chains as both direct and indirect mediators of the correlation between digitalization and business performance.

This article aims to develop an empirical study using a random sampling technique and survey data collected from 368 managers and owners of different food enterprises in Vietnam. The study adopted a methodological approach quantitatively. Analysis of the relationships and confirmatory factors was performed using structural equation modeling (SEM), a technique to evaluate the proposed relationships.

In line with expectations, the findings emphasize the impact of human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) for accelerating the digitalization process and the role of supply chains as both direct and indirect mediators of the correlation between digitalization and improving the firm performance, in the context of emerging markets.

This is an important investigation, according to the authors' knowledge, regarding the role of developing human capital (managers' capital, employees' capital) and orientation (market orientation, entrepreneurial orientation) as a key strategy for accelerating the digitalization process and improving the firm performance. Further, the study's novelty reinforces the role of supply chains as both direct and indirect mediators of the correlation between digitalization and business performance in the Vietnamese food companies, where a market economy is emerging.

Despite the use of plagiarism-checking software and current ethical guidelines in sport management journals, raising awareness of ethical concerns and potential risks of artificial intelligence (AI) applications is necessary. This paper discusses how AI affects ethical research and publishing and provides guidelines for sport management scholars to ensure quality and integrity of their research.

A comprehensive review and critical analysis of literature was performed to evaluate research ethics, potential risks, and guiding principles for the use of AI in research.

Ethical research guidelines for quantitative sport management research were proposed. The guidelines encompass seven principles for the proper use of AI and ethical conduct specific to the research methods, data analysis, and results, which would be challenging for AI to accurately replicate.

This study provides an original contribution to the field of sport management because numerous questions concerning ethics and AI have not been addressed until now. The guidelines are suitable for use by sport management scholars, concerning the accuracy, validity, and quality of research while mitigating ethical risks in AI-generated content.

This study looked into the factors that could make a difference in teachers’ individual innovativeness and team innovativeness. We investigated five categories of factors: (1) innovation-related teacher preparedness, (2) innovation-related teacher professional development, (3) teacher professional practices, (4) teacher empowerment and (5) innovation-related teacher self-efficacy.

The data source is the 2018 Teaching and Learning International Survey (TALIS) US data. The samples include about 165 schools and 2,560 teachers. We applied the structural equation model to analyze the data and the unit of analysis is set at the individual teacher-level.

We found that all factors matter except professional development and that they matter differently for different innovativeness outcomes.

This study is significant in several aspects: first, it is among the first that examined the factors that could make a difference in teacher innovativeness. Second, we differentiated between individual and team teacher innovativeness. Third, the findings highlight the importance of several factors including teacher preparation, teacher collaboration, teacher participation in school decisions and teacher self-efficacy.

In response to increasing concerns about climate change and evolving public policies, consumer behaviour and attitudes are shifting towards the adoption of renewable energy solutions like photovoltaic (PV) panel systems. This study aims to address this shift by developing a conceptual framework grounded in the Unified Theory of Acceptance and Use of Technology and Diffusion of Innovation theory. The framework identifies and analyses the factors influencing Vietnamese consumers’ decisions to install PV panels, focusing on the roles of consumer innovativeness, government incentives and social influence. By examining these dynamics, this study offers insights to inform policy in promoting renewable energy adoption.

Data from 339 Vietnamese households were analysed using SmartPLS 3.0 to test the proposed hypotheses. A structured questionnaire survey focused on consumer innovativeness, government incentives and social influence. The partial least squares structural equation modelling approach was used to evaluate the relationships between constructs.

The findings indicate that consumer innovativeness significantly predicts knowledge, sustainable lifestyles and attitudes towards solar PV panels. Moreover, household attitudes are influenced by government incentives and knowledge, but not by sustainable lifestyles. Crucially, the intention to install solar PV panels among Vietnamese households is positively affected by facilitating conditions, government incentives and social influence.

The results can assist government officials and policymakers in emerging markets in devising strategies to alleviate environmental burdens and facilitate a shift towards sustainability. Furthermore, by understanding the factors impacting the residents’ intention, public communication can be improved to raise awareness of environmental concerns and sustainable lifestyles, which results in the encouragement of the purchase and installation intention of solar panels.

The objective of this comparative quantitative study is to examine hypotheses regarding the impact of asset management and intellectual capital (IC) on the financial performance of the construction sector in the ASEAN-5 throughout 2019–2022 with enterprise resource planning (ERP) as a mediator variable.

A final sample of 65 construction industries listed on stock exchanges during 2019 and 2022 in ASEAN-5 (Indonesia, Philippines, Malaysia, Thailand and Singapore) was selected using the purposive sampling method. This research employs market-to-book value (MBV) as a measure of IC. The study also used path analysis, the Sobel test and analysis of variance test (ANOVA).

The findings demonstrate that asset management, intellectual capital and ERP have a significant and favorable impact on return on asset (ROA). Additionally, the asset management and IC of the ERP display weak and substantial outcomes. The implementation of ERP was also shown not to operate as a mediating factor. The ANOVA results on financial performance indicate significant differences for the year 2019. Furthermore, the use of various ERP software types demonstrates a comparable impact on enhancing financial performance.

This is the first study that utilizes ERP to mediate management asset and IC on financial performance. The ASEAN-5 construction sector is representative of developing nations' economic condition, offering the possibility to avoid the global economic collapse in 2023 and recover despite economic volatility.

This study aims to construct alternative models to establish the dynamic nexus between inflation and housing prices by estimating the short- and long-run relationship between housing prices and inflation for 15 OECD countries from 1980Q1 to 2022Q4. Furthermore, the authors examined this association using the core and headline inflation and price-income and price-rent ratios as proxies for inflation and housing prices, respectively.

The authors use the panel autoregressive distributed lag technique to examine the nexus between housing prices and inflation to capture the distinct characteristics of the sample countries, estimate various short-run and long-run dynamics cum separate analyses for turbulent and calm periods in the relationship between housing prices and inflation.

Changes in housing prices have a greater impact on core inflation than headline inflation. Overall, the authors establish a positive (negative) relationship between housing prices and core inflation in the long run (short run) based on alternative proxies of housing prices. However, this connection tends to be less significant for headline inflation and episodic over smaller samples, as it seems stronger during calm periods than turbulent ones.

To the best of the authors’ knowledge, the authors are the first to examine the association between housing prices and inflation by demonstrating how these variables behave during calm and turbulent periods.