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1 – 10 of 44Panitas Sureeyatanapas, Danai Pancharoen and Khwantri Saengprachatanarug
Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates…
Abstract
Purpose
Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates and ranks the drivers and barriers to implementing Industry 4.0 in the Thai sugar industry, the world's second-largest sugar exporter. It also evaluates the industry's readiness for Industry 4.0.
Design/methodology/approach
The drivers and impediments were identified based on a systematic literature review (SLR) and further investigated using a questionnaire, expert interviews, Pearson's correlation and nonparametric statistical analyses. The IMPULS model was used to assess the industry's readiness.
Findings
Most companies expect to minimise costs, develop employees and improve various elements of operational performance and data tracking capability. Thai sugar producers are still at a low readiness level to deploy Industry 4.0. High investment is the major challenge. Small businesses struggle to hire competent employees, collaborate with a highly credible technology provider and adapt to new solutions.
Practical implications
The findings can serve as a benchmark or guide for sugar manufacturers and companies in other sectors, where Industry 4.0 technologies are not yet widely utilised, to overcome existing roadblocks and make strategic decisions. They can also assist governments in developing policies that foster digital transformation and increase national competitiveness.
Originality/value
There is a scarcity of research on Industry 4.0 execution in the sugar industry. This study addresses this gap by investigating the reasons for the hesitancy of sugar producers to pursue Industry 4.0 and proposing solutions.
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Adewale Allen Sokan-Adeaga, Godson R.E.E. Ana, Abel Olajide Olorunnisola, Micheal Ayodeji Sokan-Adeaga, Hridoy Roy, Md Sumon Reza and Md. Shahinoor Islam
This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent.
Abstract
Purpose
This study aims to assess the effect of water variation on bioethanol production from cassava peels (CP) using Saccharomyces cerevisiae yeast as the ethanologenic agent.
Design/methodology/approach
The milled CP was divided into three treatment groups in a small-scale flask experiment where each 20 g CP was subjected to two-stage hydrolysis. Different amount of water was added to the fermentation process of CP. The fermented samples were collected every 24 h for various analyses.
Findings
The results of the fermentation revealed that the highest ethanol productivity and fermentation efficiency was obtained at 17.38 ± 0.30% and 0.139 ± 0.003 gL−1 h−1. The study affirmed that ethanol production was increased for the addition of water up to 35% for the CP hydrolysate process.
Practical implications
The finding of this study demonstrates that S. cerevisiae is the key player in industrial ethanol production among a variety of yeasts that produce ethanol through sugar fermentation. In order to design truly sustainable processes, it should be expanded to include a thorough analysis and the gradual scaling-up of this process to an industrial level.
Originality/value
This paper is an original research work dealing with bioethanol production from CP using S. cerevisiae microbe.
Highlights
Hydrolysis of cassava peels using 13.1 M H2SO4 at 100 oC for 110 min gave high Glucose productivity
Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae
Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation
Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L−1.h−1
Hydrolysis of cassava peels using 13.1 M H2SO4 at 100 oC for 110 min gave high Glucose productivity
Highest ethanol production was obtained at 72 h of fermentation using Saccharomyces cerevisiae
Optimal bioethanol concentration and yield were obtained at a hydration level of 35% agitation
Highest ethanol productivity and fermentation efficiency were 17.3%, 0.139 g.L−1.h−1
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Prakoso Bhairawa Putera, Ida Widianingsih, Suryanto Suryanto, Sinta Ningrum and Yan Rianto
This paper aims to discuss the emergence of science, technology and innovation (STI) institutions in Indonesia during the Dutch East Indies colonial period in 1778–1941. The…
Abstract
Purpose
This paper aims to discuss the emergence of science, technology and innovation (STI) institutions in Indonesia during the Dutch East Indies colonial period in 1778–1941. The emergence of these institutions reflected the dynamics of science and technology development and innovation in that era.
Design/methodology/approach
This paper navigates a historiographical approach. Data collection techniques use “secondary data research,” with archival investigation published by official sources in the Dutch East Indies in the 18th and 19th centuries as well as other reference sources, and data analysis techniques use “supplementary analysis.”
Findings
This research indicates that the STI institution during the Dutch East Indies colonial period was formed to maximize the natural resources of the Dutch East Indies. The STI institution at that time was constructed as part of Buitenzorg’s Plantentuin the lands, plantations, solutions for health, astronomy, geology, forestry and culture.
Research limitations/implications
The limitations of this research, as well as future research. Relying too much on “secondary data” is a limitation of this study. Therefore, it is necessary to collect primary data through in-depth interviews with historical scientists studying STIs in Indonesia in future research.
Originality/value
This study, to the best of the authors’ knowledge, considered the first study, reveals the dynamics of STI in Indonesia during the Dutch East Indies colonial era by examining the dynamics of the institution. In addition, this study succeeded in dividing five institutional STI clusters in the Dutch East Indies Colonial period 1778–1941, namely, units/institutions formed as part of Planuntungin te Buitenzorg; units/institutions formed based on plantations, initiated by private plantations to find solutions to the pests and diseases that attack their crops; units/institutions formed to seek solutions in the health sector; units/institutions formed based on astronomy, geology and forestry; and units/ institutions regarded as scientific councils/associations.
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Thirawut Phichonsatcha, Nathasit Gerdsri, Duanghathai Pentrakoon and Akkharawit Kanjana-Opas
Indigenous knowledge is an essential element for unveiling the evolutionary journey of socio-culture phenomena. One of the key challenges in foresight exercises is to incorporate…
Abstract
Purpose
Indigenous knowledge is an essential element for unveiling the evolutionary journey of socio-culture phenomena. One of the key challenges in foresight exercises is to incorporate social-culture issues such as culture, lifestyle and behavior (referred as indigenous knowledge) into the study. However, the statistical trends of those factors tend to be either not available or limited unlike the population or economic related factors. The purpose of this study is to present the use of valuable data from indigenous knowledge to enhance the foresight exercise through the better understanding of social dynamics and changes.
Design/methodology/approach
The fragmented form of indigenous knowledge is analyzed and converted into a structured data format and then interpreted to unveil the evolutionary journey of socio-cultural phenomena. This study applies a scenario development method to visualize the results of foresight by comparing before and after the integration of indigenous knowledge. Finally, an assessment was conducted to reflect the value enhancement resulting from the integration of indigenous knowledge into the foresight process.
Findings
With the proposed approach, the foresight study on the future development of Thai food was demonstrated. The findings of this study show that the use of indigenous knowledge on eating behavior, cooking style and food flavor helps improve the alternative scenarios for the future development of Thai foods.
Practical implications
Indigenous knowledge can be applied to develop plausible scenarios and future images in foresight exercises. However, by nature, indigenous knowledge is not well-structured and, therefore, needs to be analyzed and turned into structured data so that it can be interpreted before integrating into the foresight process.
Originality/value
This study is one of few studies addressing the opportunities for integrating indigenous knowledge into foresight process. Indigenous knowledge can unveil the evolution of socio-cultural changes to improve the results of foresight study, especially the cases where statistical data and trends may not be sufficient to foresee future development.
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Vimal K.E.K., Sonu Raja, Venkata Siva Prasanth Yendeti, Amarendra Kancharla and Jayakrishna Kandasamy
The purpose of this paper is to investigate the effect of current carbon tax (CT) policy on organizations involved in a sharing network relation.
Abstract
Purpose
The purpose of this paper is to investigate the effect of current carbon tax (CT) policy on organizations involved in a sharing network relation.
Design/methodology/approach
For finding the CT and economic value of the industries connected in a sharing network model a multi-objective multi-integer linear model has been formulated. The data set of the case organization is used for computation. The formulated mathematical model is computed with the aid of GAMS optimization program.
Findings
This research paper demonstrates the effectiveness of the sharing network strategy in increasing the economic value and decreasing the CT for industries involved in sharing network. The CT value INR 3,012.694 for the industries in Scenario II which incorporates the sharing network is less than the CT INR 3,580.167 for industries in Scenario I without sharing network.
Research limitations/implications
The data used for the computation is based on a particular sharing network under investigation. The formulated mathematical model can be checked with similar sharing networks by varying the parameters.
Practical implications
This work can aid in gaining complete knowledge on the sharing network strategy which can uplift the resources and the monetary value of the non-efficient industries moving them towards sustainable and greener supply chain practices.
Social implications
The presented work can impact various industries in developing countries providing them with a strategy to enhance their resources and economic value by maintaining an amicable relation.
Originality/value
This work uniquely was able to validate economic feasibility and CT in accordance with the carbon footprint involved in sharing network. This sharing network also incorporates the concepts of circular economy and reverse logistics for showcasing a better strategy.
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Rahul Arora, Nitin Arora and Sidhartha Bhattacharjee
COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the…
Abstract
Purpose
COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.
Design/methodology/approach
The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.
Findings
The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.
Originality/value
The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.
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Ewunetie Mekashaw Bayked, Birhanu Demeke Workneh and Mesfin Haile Kahissay
Background: Compliance of patients with self-care practices is the mainstay of measures to manage diabetes. This study explored self-care practices of type 2 diabetes patients…
Abstract
Background: Compliance of patients with self-care practices is the mainstay of measures to manage diabetes. This study explored self-care practices of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia.
Methods: The study employed an interpretive phenomenological approach using purposive sampling. The data were collected from 24 (11 males and 13 females) participants (July 2019 to January 2020) using in-depth interviews till theoretical saturation. The data were analyzed thematically and organized using QDA Miner Lite v2.0.8.
Results: The findings were categorized into: labeling diabetes, self-care maintenance experiences, recognition of symptoms, and mitigating mechanisms. The self-care maintenance practice of patients was linked with diet input preferences and the effectiveness level of insulin. What guides the self-care behavior was the patients’ preferentiality of strictly adhering to their preferred dietary inputs. Barley and wheat were the most common preferential and non-preferential inputs, respectively. The patients strictly adhered to insulin treatment because they found it effective. The most common hyperglycemia symptoms to be managed by taking an additional dose of insulin, were frequent urination, increased thirst, and their consequence (dehydration). Excessive sweating (initial), shivering (middle), and falling (final), respectively in severity, were the most common symptoms of hypoglycemia which were perceived to be treated with sweet snacks.
Originality: To our knowledge, this is the first research in Ethiopia to investigate the self-care experiences of type 2 diabetes patients receiving insulin using an interpretive phenomenological approach.
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Brazil has one of the cleanest energy matrixes in the world by international standards. However, the production of oil and oil derivatives continues to grow, and the country is…
Details
DOI: 10.1108/OXAN-DB286279
ISSN: 2633-304X
Keywords
Geographic
Topical
In this paper, we evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This…
Abstract
Purpose
In this paper, we evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.
Design/methodology/approach
We employ a Dynamic GTAP-VA Model to quantitatively evaluate the economic repercussions of the “Chip Act” on the Chinese electronic industries' GVC participation from 2023 to 2040.
Findings
The findings depict a discernible contraction in China’s electronic sector by 2040, marked by a −2.95% change in output, a −3.50% alteration in exports and a 0.45% increment in imports. Concurrently, the U.S., EU and certain Asian economies exhibit expansions within the electronic sector, indicating a GVC realignment. The “Chip Act” implementation precipitates a significant divergence in GVC participation across different countries and industries, notably impacting the electronics sector.
Research limitations/implications
Through a meticulous temporal analysis, this manuscript unveils the nuanced economic shifts within the GVC, substantially bridging the empirical void in existing literature. This narrative accentuates the profound implications of policy regulations on global trade dynamics, contributing to the discourse on international economic policy and industry evolution.
Practical implications
We evaluated the impact of the US “Chip Act” on the participation of the Chinese electronics industry in the global value chain based on the dynamic CGE model. This is a meaningful attempt to use the GTAP-VA model to analyze the electronics industry in China.
Social implications
The interaction between policy regulations and global value chain (GVC) dynamics is pivotal in understanding the contemporary global trade framework, especially within technology-driven sectors. The US “Chips Act” represents a significant regulatory milestone with potential ramifications on the Chinese electronic industries' engagement in the GVC.
Originality/value
The significance of this paper is that it quantifies for the first time the impact of the US Chip Act on the GVC participation index of East Asian countries in the context of US-China decoupling. With careful consideration of strategic aspects, this paper substantially fills the empirical gap in the existing literature by presenting subtle economic changes within GVCs, highlighting the profound implications of policy regulation on global trade dynamics.
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Su Pan, Xuanhao Zhang and Miraj Ahmed Bhuiyan
This study reveals the economic impact of the Indo-Pacific Strategy on the Regional Comprehensive Economic Partnership (RCEP).
Abstract
Purpose
This study reveals the economic impact of the Indo-Pacific Strategy on the Regional Comprehensive Economic Partnership (RCEP).
Design/methodology/approach
This paper uses the GTAP model to analyze the economic effects of RCEP under the effect of the “Indo-Pacific Strategy” under different scenarios.
Findings
The results show that (1) with the improvement of the implementation effect of the US “Indo-Pacific Strategy,” the welfare level of China has gradually had a significant negative impact, while the welfare level of US Allies and partners has been further improved. (2) The implementation of the Indo-Pacific Strategy will further expand the import scale of Japan, South Korea and other Allies that are both RCEP members and the USA and slightly reduce the import scale of the European Union (EU) and other countries. (3) After the USA implemented the “Indo-Pacific Strategy,” its export scale has significantly improved, and it has been able to completely offset the adverse effects of the signing of RCEP on its exports. China's export scale has also gradually declined, and Japan has benefited the most.
Originality/value
There are three main possible contributions to this article: first, the authors combined geopolitical factors to simulate and evaluate the economic effects of RCEP under different Indo-Pacific Strategy implementation scenarios, which is more relevant than analyzing the economic effects of RCEP in a “vacuum.” Second, the standard static GTAP model can only measure the change of equilibrium state before and after the trade policy. At the same time, the dynamic GTAP model (GTAP-Dyn) introduces mechanisms such as capital flow and capital accumulation and treats time as a continuous variable affected by exogenous variables so that each variable has a time dimension so as better to simulate the medium- and long-term economic effects. This paper refers to the dynamic recursion method of Walmsley (2006) and Yang (2011) to update the base year of the GTAP version 10.0 database to 2020, that is the time when RCEP officially reached 2020. The simulation results of shock variables introduced into the baseline scenario are more reliable. Third, the authors analyze the welfare effect of RCEP and the impact on the import and export of relevant countries from the macrolevel and examine the impact on different products in different countries from the microlevel.
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