Truong Tuan Linh, Nguyen Thi Thanh Huyen, Nguyen Ngoc Quynh and Nguyen Khanh Doanh
This study examines farmers’ intention to adopt digital payment (DP) in the mountainous regions of northern Vietnam, employing the unified theory of acceptance and use of…
Abstract
Purpose
This study examines farmers’ intention to adopt digital payment (DP) in the mountainous regions of northern Vietnam, employing the unified theory of acceptance and use of technology (UTAUT), self-efficacy theory and herd behavior theory.
Design/methodology/approach
This research used partial least square-SEM (PLS-SEM) with orthogonalizing approach to examine farmers’ adoption intention to adopt DP.
Findings
This research found that factors such as performance expectancy, effort expectancy, social influence and facilitating conditions emerge as significant drivers of farmers’ intention to adopt DP. Moreover, our findings highlight the substantial impact of herd behavior and imitation self-efficacy on farmers’ adoption intentions, illustrating their tendency to emulate the actions of others. Notably, DP self-efficacy emerges as a critical determinant, influencing farmers’ adoption intentions both directly and indirectly through performance and effort expectancies.
Research limitations/implications
Performance expectancy was used to represent DP benefits, which should be divided into economic and non-economic aspects. Imitation behavior and imitation self-efficacy were self-reported, potentially leading to overestimation due to self-image concerns. Hence, future research may consider using performance-based tests to measure herding behavior and imitation self-efficacy.
Originality/value
This study makes a distinct contribution to existing literature by incorporating imitation self-efficacy, thereby expanding the framework of self-efficacy theory in the context of DP adoption.
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Cong Doanh Duong, Dan Khanh Pham, Thi Viet Nga Ngo, Nhat Minh Tran and Van Thanh Dao
This study aims to explore how the three dimensions of karma – karmic duty orientation, indifference to rewards and equanimity – influence empathy and moral obligation, with…
Abstract
Purpose
This study aims to explore how the three dimensions of karma – karmic duty orientation, indifference to rewards and equanimity – influence empathy and moral obligation, with implications for social economics.
Design/methodology/approach
The research was conducted on a valid sample of 401 university students in Vietnam, using hierarchical regression to test formulated hypotheses.
Findings
The analysis reveals that karmic duty orientation and indifference to rewards significantly enhance empathy and moral obligation, indicating that individuals with a strong sense of moral duty and intrinsic motivation are more likely to engage in ethical and pro-social behaviors. Equanimity was not found to impact empathy or moral obligation significantly.
Practical implications
Organizations and policymakers should focus on cultivating moral duties, intrinsic motivations and resilience in ethical behavior to promote social responsibility and sustainability and ensure long-term social and economic stability.
Originality/value
This study contributes to social economics by integrating ethical dimensions of karma into the analysis of moral behavior, offering a fresh perspective that challenges traditional economic models centered on self-interest. The research provides a comprehensive framework for understanding how moral principles influence economic decisions and social outcomes.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0571
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Huu Cuong Nguyen and Hien Khanh Duong
The purpose of this study is to assess the extent of Sustainable Development Goals (SDGs) disclosures among Vietnamese listed firms and identify key influencing factors.
Abstract
Purpose
The purpose of this study is to assess the extent of Sustainable Development Goals (SDGs) disclosures among Vietnamese listed firms and identify key influencing factors.
Design/methodology/approach
The authors analyse SDG-related disclosures of the top 100 listed firms by market capitalisation on the Hanoi and Ho Chi Minh stock exchanges as of December 31, 2023, using an established reporting methodology. Data were sourced from annual, corporate governance, ESG, financial and sustainability reports. A regression model was used to examine factors influencing SDG disclosure.
Findings
SDG disclosure among Vietnamese firms is relatively low. Corporate governance, firm size, government ownership, industry and Global Reporting Initiative (GRI) usage positively influence disclosure levels, while auditing firm type and firm age show a negative association. Financial firms tend to use sustainable development reports and GRI indicators more frequently.
Practical implications
Practically, strengthening governance frameworks and promoting GRI adoption can improve the quality and extent of sustainability reporting among Vietnamese firms. Socially, enhanced SDG disclosure supports improved corporate practices that align with the United Nations SDGs, fostering a more sustainable and transparent economy in Vietnam.
Originality/value
To the best of the authors’ knowledge, this is the first study examining SDG disclosure and influencing factors in Vietnamese listed (2021–2023), using the GRI (2016) standard. This study contributes to transparency in Vietnam’s financial markets and sustainability practices, offering insights for preparers and policymakers.
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Nhung Thi Nguyen, Lan Hoang Mai Nguyen, Quyen Do and Linh Khanh Luu
This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.
Abstract
Purpose
This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.
Design/methodology/approach
The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.
Findings
The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.
Research limitations/implications
Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.
Practical implications
The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.
Social implications
This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.
Originality/value
This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.