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This study aims to examine the effects of climate change and agricultural technologies on crop production in Vietnam for the period 1990–2018.

Several econometric techniques – such as the augmented Dickey–Fuller, Phillips–Perron, the autoregressive distributed lag (ARDL) bounds test, variance decomposition method (VDM) and impulse response function (IRF) are used for the empirical analysis.

The results of the ARDL bounds test confirm the significant dynamic relationship among the variables under consideration, with a significance level of 1%. The primary findings indicate that the average annual temperature exerts a negative influence on crop yield, both in the short term and in the long term. The utilization of fertilizer has been found to augment crop productivity, whereas the application of pesticides has demonstrated the potential to raise crop production in the short term. Moreover, both the expansion of cultivated land and the utilization of energy resources have played significant roles in enhancing agricultural output across both in the short term and in the long term. Furthermore, the robustness outcomes also validate the statistical importance of the factors examined in the context of Vietnam.

This study provides persuasive evidence for policymakers to emphasize advancements in intensive agriculture as a means to mitigate the impacts of climate change. In the research, the authors use average annual temperature as a surrogate measure for climate change, while using fertilizer and pesticide usage as surrogate indicators for agricultural technologies. Future research can concentrate on the impact of ICT, climate change (specifically pertaining to maximum temperature, minimum temperature and precipitation), and agricultural technological improvements that have an impact on cereal production.

To the best of the authors’ knowledge, this study is the first to examine how climate change and technology effect crop output in Vietnam from 1990 to 2018. Various econometrics tools, such as ARDL modeling, VDM and IRF, are used for estimation.

The purpose of this paper is to examine the effect of quality-oriented human resource practices (QHRP) on organizational ambidexterity. Furthermore, the mediating role of ambidextrous culture in the relationship between QHRP and organizational ambidexterity was assessed.

Drawing on data from 350 green agro-food companies with two respondents in each company, structural equation models were used.

This paper has been drawn up to provide some responses to the needs of the companies to be ambidextrous while applying QHRP. The findings show that there is a positive effect of QHRP on organizational ambidexterity. In addition, ambidextrous culture mediated the relationship between QHRP and organizational ambidexterity.

This research reveals key managerial aspects for QHRP implementation that facilitate firms to be more ambidextrous, and thus more efficient and innovative.

The authors illustrate the connection between quality-oriented human resource practices (QHRPs) and organizational ambidexterity under the dynamic capabilities theory. The findings contribute to the empirical evidence on the antecedents of organizational ambidexterity, and suggest that these specific QHRPs influence an organization's baseline beliefs and values and support the development of ambidextrous capabilities by means of an ambidextrous culture.

本文擬探討以質量為本的人力資源實務對組織雙元性的影響; 本文亦擬評定雙元性文化在以質量為本的人力資源實務與組織雙元性之間的關係上所扮演的中介角色。

數據取自350間綠色農產食品公司,而每間公司則有兩名應答者; 研究人員以結構方程模型進行分析。

草擬本文的目的,是要為那些於採用以質量為本的人力資源實務時需要成為雙元性的公司提供回應。我們的研究結果顯示,以質量為本的人力資源實務,對組織的雙元性是有積極和正面的效應。研究結果亦顯示,雙元性文化在以質量為本的人力資源實務與組織雙元性之間的關係上,起著中介調和的作用。

本研究展現了、若企業欲推行以質量為本的人力資源實務,以促進其雙元性,繼而成為更有效率和更具創新能力的企業,它們需致力於哪些關鍵性的管理事務呢?

我們闡明了在動態能力理論下,以質量為本的人力資源實務與組織雙元性之間的關聯。我們的研究結果,就組織雙元性的先例,提供了經驗性證據,就此,研究作出了貢獻。研究結果亦暗示,有關的特定以質量為本的人力資源實務,不僅會影響組織的基線信念和價值觀,還會通過雙元性文化,為雙元能力的發展提供支援。

Based on this holistic model, the authors propose and analyze seven key issues related to the admissibility of digital media in cross-border trials considering four Latin American countries.

The authors apply the modeling process of the soft systems methodology by Checkland in order to develop a holistic model focused on human situation problems involving digital media and information technology devices or systems.

The authors discuss the status of the identified key issues in each country and offer a perspective on the integration of cross-border work analyzing the contribution of these key issues to the collaboration between countries criminal cases or the use of foreign digital artifacts in domestic trials.

In this study, the authors assumed that the problems of official interaction between agencies of different countries are considered solved. However, for future studies or research, the authors recommend that these issues can be considered as relevant, since they are related to cross-border cooperation topics that will necessarily require unavoidable official arrangements, agreements and formalities.

This work is aimed at defining and analyzing the key issues that can contribute to the application of current techniques and methodologies in digital forensics as a tool to support the legal framework of each country, considering cross-border trials. Finally, the authors highlight the implications of this study lie in the identification and analysis of the key issues that must be considered for digital forensics as a support tool for the admissibility of digital evidence in cross-border trials.

The authors consider that digital forensic will have high demand in cross-border trials, and it will depend on the people mobility between the countries considered in this study.

This paper shows that the soft systems methodology allows elaborating a holistic model focused on social problems involving digital media and informatics devices.