Joshua B. Bellin and Chi T. Pham
This article aims to advise leaders of global enterprises who are increasingly concerned about the effects of international expansion on their corporate culture. It seeks to…
Abstract
Purpose
This article aims to advise leaders of global enterprises who are increasingly concerned about the effects of international expansion on their corporate culture. It seeks to explain that companies that nurture a set of enterprise‐wide mindsets can maintain a unity of purpose while at the same time successfully adapting practices to diverse local economic and cultural conditions.
Design/methodology/approach
An Accenture survey of more than 900 senior executives on the challenges of building a global organization revealed that they are increasingly concerned with the problem of maintaining a common corporate culture and identity. The firm then studied the best practices of successful firms.
Findings
When performance mindsets are widely shared, they translate established company values into practices by means of commonly understood guidelines on how to recognize and solve problems – which, in turn, guide the organization in making decisions when faced with many possibilities.
Practical implications
Country managers must ensure that the company's values and mindsets are used to overcome the national, cultural, and linguistic boundaries that can block success.
Originality/value
With the participation of leaders at all levels of an organization a company's management of its performance mindsets can become a distinctive capability and thereby a source of international competitive advantage. By successfully following these steps for managing and propagating shared values and mindsets across diverse organizations corporations can produce winning performance in the competitive international arena.
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Nam Hoang Vu, Nguyen Thi Khanh Chi and Hai Hong Nguyen
This study explores the effects of gender and participation in agricultural cooperatives on biodiversity conservation farming practices in vegetable production.
Abstract
Purpose
This study explores the effects of gender and participation in agricultural cooperatives on biodiversity conservation farming practices in vegetable production.
Design/methodology/approach
This study used data collected from a survey of 627 vegetable farmers in Viet Nam and employed the Ordered Probit regression model to examine the effects of gender and participation in agricultural cooperatives on biodiversity conservation farming practices.
Findings
We find that female vegetable farmers are more likely to conduct biodiversity conservation farming practices than male farmers. This gender difference is, however, removed when participation in agricultural cooperatives is controlled, suggesting that agricultural cooperatives effectively facilitate biodiversity conservation farming practices.
Research limitations/implications
It is noted that our study is not free from some limitations. First, we conducted our study on vegetable farmers only. The biodiversity conservation practices in vegetable cultivation might be different from other types of farming. Future studies should be conducted with other types of agricultural cultivation. Second, we do not have enough data to explain why female farmers are more likely to adopt biodiversity conservation practices than male farmers. Future studies should capture biological and social aspects of gender differences to address this limitation.
Originality/value
This study contributes to the literature on biodiversity conservation by presenting empirical evidence on the effects of gender and agricultural cooperatives. Participation in agricultural cooperatives is revealed to facilitate the adoption of biodiversity conservation practices. In addition, we find that the education of farmers, the number of years that farmers have been living in the local area and the quality of land and water are positively related to the adoption of biodiversity conservation practices in vegetable production.
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This study aims to find how trade development and digitalization affect smart-green production. Four factors are investigated in these effects (certification, technology…
Abstract
Purpose
This study aims to find how trade development and digitalization affect smart-green production. Four factors are investigated in these effects (certification, technology innovation, natural resource management, low pesticides).
Design/methodology/approach
The mix-method approach was employed from validating the measurement scale to test the proposed hypotheses. At first, the grounded theory is the most authoritative and standard research method in qualitative research. Secondly, quantitative analysis was employed to draw conclusions about the impact of digitalization and trade development on smart-green agricultural production.
Findings
The results found that digitalization and trade development impact the development of smart-green agricultural production through certification employment, technology innovation, and a decrease in pesticide usage. Moreover, digitalization and trade development also indirectly affect the development of intelligent green agricultural production. Meanwhile, digitalization has a higher impact than trade development.
Research limitations/implications
This research is based on the premise that digitalization and trade development can drive smart green agricultural production. Still, some studies have found a deviation between trade development and environmental protection. Hence, future research can explore the incentive effect of trade development and digitalization on other industries. Second, the measurement of the dependent variables in this study is based on the premise that smart-green agricultural production has not been widely promoted, so the changes in production before and after the whole public participation in smart-green output have yet to be reflected.
Originality/value
Smart green production in agriculture is essential for a transition economy and the world to meet food security and protect the environment. However, the effects of certification, technology innovation, natural resource management, and low pesticides on smart-green agriculture production have yet to be identified. Insights from this study can help governments, policy-makers, and farmers in emerging economies by adapting their strategies within their local contexts.
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Pham Thi Bich Ngoc, Pham Thi Hoa Tien, Pham Dinh Long and Huynh Quoc Vu
The paper aims to investigate the difference in total factor productivity (TFP) among those firms with and without outsourcing in a developing country like Vietnam. Also, it…
Abstract
Purpose
The paper aims to investigate the difference in total factor productivity (TFP) among those firms with and without outsourcing in a developing country like Vietnam. Also, it explores the effect of outsourcing activities on total factor productivity with a specified concentration on the Vietnamese small and medium-sized enterprises (SMEs).
Design/methodology/approach
The panel data set of SMEs used in this study was originated from biannual surveys conducted under the collaboration between educational organizations and government agencies: Stockholm School of Economics (SSE), Department of Economics – the University of Copenhagen, the Institution of Labor Studies and Social Affairs (ILSSA) in the Ministry of Labor, Invalids and Social Affairs (MOLISA). In this study, the model is developed based on the production function in accordance with the model of Girma and Görg (2004). The firms’ TFP is the difference between the actual and the predicted output as with the approach by Levinsohn and Petrin (2003).
Findings
This study finds out that firms with outsourcing have higher total factor productivity than those without outsourcing activities. In addition, the more firms spend on outsourcing, the higher total factor productivity they can gain. Outsourcing to SMEs in a developing country can significantly increase its TFP by means of either maintaining core competencies or searching external resources in conducting some internal activities.
Originality/value
Although outsourcing has been widely applied by large firms, the research studying its impact on productivity at firm level is limited. Especially, this study can shed light on the impact for the case of SMEs in a developing economy.
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An Thi Binh Duong, Thang Duc Ta, Dung Quang Truong, Thinh Gia Hoang, Hiep Pham, Thu-Hang Hoang and Huy Truong Quang
This study analyses the direct and indirect impacts of risks on the service-oriented construction supply chain and its resilience during disruptions.
Abstract
Purpose
This study analyses the direct and indirect impacts of risks on the service-oriented construction supply chain and its resilience during disruptions.
Design/methodology/approach
We utilised the service-dominant logic, contingency and information processing theories to identify service-oriented construction supply chain characteristics and risk behaviours during turbulent times.
Findings
Our analysis of 285 construction companies with a strong service orientation revealed that the proposed risk model explains a 33.6% variance in supplier performance, 46.4% operational performance, 47.1% customer satisfaction and 46.5% financial performance. Our findings highlight the importance of effectively monitoring risks in service-oriented construction supply chains and examining complex networks in which risk variables impact construction supply chain performance.
Research limitations/implications
This study examines the influence mechanisms between risks and actors’ performance in construction supply chains, taking a service-oriented perspective.
Originality/value
Previous studies emphasise the risks that construction companies encounter from disruptions, such as maintaining operations and enhancing performance. Nevertheless, the research still needs to establish the transmission mechanism of the simultaneous impact (direct and indirect) of all forms of risk on supply chain performance.
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Pham Dinh Long, Bui Quang Hien and Pham Thi Bich Ngoc
The paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.
Abstract
Purpose
The paper aims to shed light on the effects of inflation on gold price and exchange rate in Vietnam by using time-varying cointegration.
Design/methodology/approach
Using cointegration techniques with fixed coefficient and time-varying coefficient, the study exams the impacts of inflation in models and compares the results through coefficient estimates.
Findings
A significant inflation impacts are found with the time-varying cointegration but not with the fixed coefficient cointegration models. Moreover, monetary policy affects exchange rate not only directly via its instruments as money supply and interest rate but indirectly via inflation. Also, interest rate is one of the determinants of gold price.
Originality/value
To the best of our knowledge, this paper is the first to use time-varying cointegration to analyze the impact of inflation on the gold price and exchange rate in Vietnam. Gold price and exchange rate fluctuations are always the essential and striking issues, which have been emphasized by economists and policymakers. In macroeconometric researches, cointegration models are often used to analyze the long-term relations between variables. Attentionally, applied models show a limitation when estimating coefficients are fixed. This characteristic might not really match with the data properties and the variation of the economy. Currently, time-varying cointegration models are emerging method to solve the above issue.
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Ho Pham Huy Anh and Cao Van Kien
The purpose of this paper is to propose an optimal energy management (OEM) method using intelligent optimization techniques applied to implement an optimally hybrid heat and power…
Abstract
Purpose
The purpose of this paper is to propose an optimal energy management (OEM) method using intelligent optimization techniques applied to implement an optimally hybrid heat and power isolated microgrid. The microgrid investigated combines renewable and conventional power generation.
Design/methodology/approach
Five bio-inspired optimization methods include an advanced proposed multi-objective particle swarm optimization (MOPSO) approach which is comparatively applied for OEM of the implemented microgrid with other bio-inspired optimization approaches via their comparative simulation results.
Findings
Optimal multi-objective solutions through Pareto front demonstrate that the advanced proposed MOPSO method performs quite better in comparison with other meta-heuristic optimization methods. Moreover, the proposed MOPSO is successfully applied to perform 24-h OEM microgrid. The simulation results also display the merits of the real time optimization along with the arbitrary of users’ selection as to satisfy their power requirement.
Originality/value
This paper focuses on the OEM of a designed microgrid using a newly proposed modified MOPSO algorithm. Optimal multi-objective solutions through Pareto front demonstrate that the advanced proposed MOPSO method performs quite better in comparison with other meta-heuristic optimization approaches.
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Pham Thi Bich Ngoc, Huynh Quoc Vu and Pham Dinh Long
This paper aims to examine spillover effects of heterogenous foreign direct investment (FDI) enterprises (domestic vs. export-oriented) through horizontal and vertical linkages…
Abstract
Purpose
This paper aims to examine spillover effects of heterogenous foreign direct investment (FDI) enterprises (domestic vs. export-oriented) through horizontal and vertical linkages and absorptive capacity effect on domestic firms' total factor productivity (TFP). It clarifies the spillover effect on domestic firms in accordance with industrial zones, business size, technology sector and geographical agglomeration, respectively.
Design/methodology/approach
The dataset used is based on Vietnamese manufacturing firms during 2011–2014, input–output (I–O) Table 2012. This paper is conducted in two steps: (1) TFP is estimated by using a semi-parametric approach developed by Levinsohn and Petrin (2003); (2) Regression with panel data for domestic firms, applying the fixed effect method.
Findings
In terms of domestic-oriented FDI (DFDI) enterprise group: TFP spillover through horizontal linkages is found negative for domestic firms but positive for those participating in export. Additionally, backward linkages have a negative impact on TFP for most domestic enterprises, except for those operating in the high-tech sector. In terms of export-oriented FDI (EFDI) enterprise group, horizontal linkages have a negative impact on domestic firms' TFP including domestic ones participating in export whereas backward linkage is an important channel with positive effects. Absorptive capacity enables firms to improve productivity through linkages with EFDI and DFDI enterprises. Exporters located in industrial zones or regions with numerous exporters can receive better impacts through backward linkages EFDI.
Originality/value
Comprehensively, this is the first paper to detect FDI heterogeneity in their behavior when entering a developing country like Vietnam. The added value in this study comes from the export ability of local firms which is in line with Melitz (2003) theory that they can excel in absorping the TFP spillover from competing with DFDI competitors or from supplying to EFDI enterprises. Moreover, the role of small and medium-sized enterprises (SMEs), low technology, high technology and learning by regions affecting the impact through both horizontal and vertical linkages are included for analysis.
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This paper aims to propose a new neural-based enhanced extreme learning machine (EELM) algorithm, used as an online adaptive estimation model, regarding undetermined system…
Abstract
Purpose
This paper aims to propose a new neural-based enhanced extreme learning machine (EELM) algorithm, used as an online adaptive estimation model, regarding undetermined system dynamics and containing internal/external perturbations.
Design/methodology/approach
The EELM structure bases on the single layer feed-forward neural (SLFN) model in which the hidden weighting coefficients are initiated in random and the weighting outputs of the SLFN are online modified using an online adaptive rule implemented from Lyapunov stability concept.
Findings
Four different benchmark uncertain chaotic system tests have been satisfactorily investigated for demonstrating the superiority of proposed EELM technique.
Originality/value
Authors confirm that this manuscript is original.