Paitoon Chetthamrongchai - Academia.edu (original) (raw)

Papers by Paitoon Chetthamrongchai

Research paper thumbnail of A comprehensive systematic and bibliometric review of the IoT-based healthcare systems

Cluster Computing

In the healthcare sector, the growth in technology has had a huge effect. Besides, when introduce... more In the healthcare sector, the growth in technology has had a huge effect. Besides, when introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by helping physicians closely track their patients, allowing rapid recovery. Aged patients/people should be intensively checked, and their loved ones must be aware of their wellbeing periodically. Therefore, using IoT in healthcare will simplify the lives of physicians and patients alike. Hence, this study explored a comprehensive review of intelligent IoT-based embedded healthcare systems. The papers around intelligent IoT-based healthcare systems printed until Dec-2022 are studied, and some research lines are suggested for the upcoming researchers. Thus, this study's innovation will apply healthcare systems based on IoT to include certain strategies for the future deployment of new generations of IoT-based health technology. The findings revealed that IoT is beneficial for governments to strengthen society's health and economic relations. Besides, owing to novel functional principles, IoT needs modern safety infrastructure. This study is helpful for prevalent and useful electronic healthcare services, health experts, and clinicians.

Research paper thumbnail of Optimizing the Interaction Between Two Closed-Loop Supply Chains Based on Inverse Logistics Using the Game Theory Method

Foundations of Computing and Decision Sciences

Over the past few years, attention to environmental problems, legal necessities, and economic adv... more Over the past few years, attention to environmental problems, legal necessities, and economic advantages emerging from reproduction activities has attracted attention to reverse logistics activities in the form of a closed-loop supply chain, whether in industry or scientific research. The current study aims to model competitiveness and comparison between two closed-loop three-level supply chains, each of which includes a manufacturer, a retailer, and a third party to collect the products used by the customer, taking into account the concepts of game theory and the existence of aggregates. Moreover, a separate supplier for each chain is considered. In the forward supply chain, the manufacturer produces new products using new components or re-used products that have been collected from the consumer, then sells these products mainly to the retailer, and the retailer sells them. In the reverse chain, the collector provides the used products to the manufacturer after collection. The stud...

Research paper thumbnail of Predicting Antecedents of Employee Smart Work Adoption Using SEM-Multilayer Perceptron Approach

Human Behavior and Emerging Technologies

The COVID-19 pandemic forced many organizations to move to telework and smart work (SW), and this... more The COVID-19 pandemic forced many organizations to move to telework and smart work (SW), and this practice is expected to continue even later in the postpandemic period. Hence, it is very important for managers and organizations to identify the motivating and deterrent factors in adopting smart work and plan to manage them. Therefore, the present study using an innovative methodology tried to identify and prioritize the factors influencing employee SW adoption. In the first stage, the conceptual model of the research was designed, inspired by the literature. In the next step, using structural equation modeling (SEM), antecedents whose effects on employee SW adoption were confirmed were identified. Finally, the output of the SEM model was considered as the input of the multilayer perceptron (MLP) model, which is an artificial neural network model, to determine the importance of each antecedent in the prediction of employee behavior. The present study provides quantitative empirical e...

Research paper thumbnail of Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors

Foundations of Computing and Decision Sciences

With the globalization of markets and increasing competition in global markets, the attempts of o... more With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has resulted in the emergence of the philosophy of Supply Chain Management. There is uncertainty in the reliability of supply chain facilities for reasons such as natural disasters, terrorist attacks, labor errors, and weather conditions. Therefore, when making strategic decisions, the system will continue to operate with minimal damage. Over the course of this study, the uncertainty of supplier layers in the supply chain has been modeled. To meet that aim, the issue of supply chain, including producers, warehouses, suppliers and consumers are considered. To calculate the cost of breakdowns due to the non-functioning of distributors, the scenario-building method has been utilized. Finally, the desired model is solved with Gomez software and the results are presented. The result of the study demonstrate the efficiency of this model ...

Research paper thumbnail of Fundamental green roof performance of residential building in desert climate: In terms of sustainability and decrease in energy consumption

Sustainable Energy Technologies and Assessments

In modern times, the majority of the world's energy consumption is attributable to the he... more In modern times, the majority of the world's energy consumption is attributable to the heating and cooling of residential buildings. Because of this, the development of sustainable energy sources has increased dramatically, particularly in residential buildings, with the goal of reducing the amount of energy that is consumed within buildings. An extensive green roof system is one of the most effective ways to save energy. Not only does this lessen the impact that humans have on their surroundings, but it also has positive effects on people's health and the way their homes look. The purpose of this study was to investigate the thermal characteristics of green roofs installed on residential buildings in Qatar's hot and dry climate in order to assess their viability and determine how best to minimize energy usage. In the course of this investigation, five distinct heights ranging from 10 to 50 cm were taken into consideration to assess the energy efficiency of the roof. Of these heights, the height of 10 cm was found to be the most suitable height for planting in this environment. In addition, in order to evaluate the performance of roof energy, five plant leaf area indices with values ranging from one to five have been taken into consideration. Of these, the results indicate that the plant leaf area index is the plant planting index that works best in this environment. The larger the plant's leaves, the more protection they will provide from the sun and the higher the yield will be. In addition, to evaluate the effectiveness of the roof energy system, four height dimensions of 8, 13, 18, and 23 cm were considered for the cultivation layer. According to the findings, the height of the plant substrate layer is 23 cm, and the height of the cultivation layer is 18 cm. The cultivation layer that yields the best results for green roofs in this environment.

Research paper thumbnail of Optimization of Renewable Warranty by Considering System Reliability and Preventive Maintenance and Repairs

Industrial Engineering & Management Systems

Research paper thumbnail of Optimizing the Issue of Blood Supply Chain Network Design with a Reliability Approach

Industrial Engineering & Management Systems

Research paper thumbnail of Design a Multi Period Closed-Loop Supply Chain Program to Supply Recycled Products

Foundations of Computing and Decision Sciences

Over the course of the last decades, closed-loop supply chains (CLSC) and reverse logistics issue... more Over the course of the last decades, closed-loop supply chains (CLSC) and reverse logistics issues have attracted increasing attention owing to strict environmental laws, social responsibilities, economic interests, and customer awareness. Hence, the issue of closed-loop supply chain and reverse logistics has emerged as a field of research in the new era. This issue has received much attention because it allows recyclable products to return to their original cycle. Therefore, this study primarily intends to present a mathematical model for designing a supply chain network for recycled products. The multi-stage and multi-period objective function of the closed-loop supply chain is presented to meet that aim. In this chain, dismantling, recycling, and disposal centers are considered. The objective function is to reduce the total cost of the closed-loop supply chain. The results of optimizing the mathematical model demonstrate that this model has the necessary efficiency for use in rec...

Research paper thumbnail of A Developed Optimization Model for Mass Production Scheduling Considering the Role of Waste Materials

International Journal of Industrial Engineering and Management

Research paper thumbnail of A smart building with integrated energy management: Steps toward the creation of a smart city

Sustainable Energy Technologies and Assessments

This study was conducted the 7-story building in Jakarta, Indonesia and was selected as a researc... more This study was conducted the 7-story building in Jakarta, Indonesia and was selected as a research sample. The study aimed to enhancing smart buildings' energy management. Descriptive and analytical methods were used in this study. Analyzing the building's materials (Facade stone, cement sand mortar, Leca block, gypsum and soil mortar, gypsum soft with thermal resistance of 0.41 and heat capacity of 4.5), windows, and energy consumption, it was determined that the lighting sector consumes the most energy. Maximum energy consumption reduction in residential buildings occurs in the lighting sector, and the smart management system cuts residential energy consumption by up to 37%. In addition to providing security and peace of mind, system features such as alarms for natural and abnormal occurrences may also give safety. With the integration of smart management systems in residential buildings, such as security control devices, seismic controllers, imaging controllers, fire alarm systems, and fire extinguishing systems, building resilience will be increased. With the assistance of an smart management system, a reduction in energy consumption of between 20% and 27% will be accomplished.

Research paper thumbnail of An Environmentally Friendly Solution for Waste Facial Masks Recycled in Construction Materials

Sustainability

In response to the COVID-19 pandemic, single-use disposable masks saw a dramatic rise in producti... more In response to the COVID-19 pandemic, single-use disposable masks saw a dramatic rise in production. Facial masks that are not properly disposed of will expose the environment to a form of non-biodegradable plastic waste that will take hundreds of years to degrade. Therefore, recycling such waste in an eco-friendly manner is imperative. Fibered or shredded waste masks can be used to make green concrete that is an environmentally friendly solution to dispose the facial masks. This study prepared six classes of concrete samples, three of which contained fibers from masks and three of which contained shredded masks at the ages of seven days and 28 days. The results show that in the seven-day and 28-day samples, mask fiber added to the mixes resulted in increased compressive strength. For seven-day and 28-day samples, the compressive strength increased by 7.2% and 10%, respectively. Despite that, the results of the shredded mask addition to concrete indicate that the increase in shredde...

Research paper thumbnail of Development of Machine Learning Methods in Hybrid Energy Storage Systems in Electric Vehicles

e hybrid energy storage systems are a practical tool to solve the issues in single energy storage... more e hybrid energy storage systems are a practical tool to solve the issues in single energy storage systems in terms of specific power supply and high specific energy. ese systems are especially applicable in electric and hybrid vehicles. Applying a dynamic and coherent strategy plays a key role in managing a hybrid energy storage system. e data obtained while driving and information collected from energy storage systems can be used to analyze the performance of the provided energy management method. Most existing energy management models follow predetermined rules that are unsuitable for vehicles moving in different modes and conditions. erefore, it is so advantageous to provide an energy management system that can learn from the environment and the driving cycle and send the needed data to a control system for optimal management. In this research, the machine learning method and its application in increasing the efficiency of a hybrid energy storage management system are applied. In this regard, the energy management system is designed based on machine learning methods so that the system can learn to take the necessary actions in different situations directly and without the use of predicted select and run the predefined rules. e advantage of this method is accurate and effective control with high efficiency through direct interaction with the environment around the system. e numerical results show that the proposed machine learning method can achieve the least mean square error in all strategies.

Research paper thumbnail of The Impact of Perceived Service Quality, Customer Perception and Price Strategy on Pharmacy Customer Devotion

Polish Journal of Management Studies, 2019

Research paper thumbnail of Employing artificial neural networks and fluorescence spectrum for food vegetable oils identification

Food Science and Technology, 2021

Research paper thumbnail of The Impact of COVID-19 on Thai Consumer Behaviour in Using Digital Banking

Academy of Strategic Management Journal, 2021

Research paper thumbnail of Optimization of the Location, Inventory and Routing of Capacity Vehicles with Interval Uncertainty

Industrial Engineering & Management Systems

Research paper thumbnail of Scheduling for a Container Supply Chain to Minimize Costs Using the Meta-Innovation Approach

Industrial Engineering & Management Systems

Research paper thumbnail of Study on food sampling routing system based on traveling salesman problem

Food Science and Technology

Research paper thumbnail of Ensuring Environmental Performance of Pharmaceutical Companies of Thailand: Role of Robotics and AI Awareness and Technical Content Knowledge in Industry 4.0 Era

Systematic Reviews in Pharmacy, 2020

The contradictions regarding the improvements of environmental performance and the factors that p... more The contradictions regarding the improvements of environmental performance and the factors that possibly might play a very significant role in that case, led this study to happen. So, the study took robotic and artificial intelligence awareness and technical content knowledge to check their impacts on environmental performance. The study also took industry 4.0 implementation as a mediator to check how well it enhances the impacts of robotic and artificial intelligence awareness and technical content knowledge on environmental performance. By reviewing their past literature, the study devised hypothesis. Then to testify them, researcher collected data from 319 individuals from Pharmaceutical Companies of Thailand. The data was analyzed using SPSS and AMOS, though the past relevant studies did not analyze the relevant problem with such modern techniques. The results showed that the impact of robotic and artificial intelligence awareness and technical content knowledge on environmental...

Research paper thumbnail of The Antecedents of Consumer Trust on Environmental Friendly Products : The Evidence from Thailand

The purpose to this study was to investigate the influences of corporate reputation, consumer ide... more The purpose to this study was to investigate the influences of corporate reputation, consumer identity and consumer awareness on consumer trust toward environmental friendly product in Thailand. The idea of this study was generated according to the increasing pressures of environmental concerns and the fact that consumers are more active to the environmental consequences. Marketers have responded to this growing concern by offering environmental friendly products to the market, but only few of them succeeded. Consumers are always skeptical about the real reasons why business cares about environmental problems. Therefore, an accurate knowledge of factors that truly influence consumer trust toward environmental friendly product needs to be determined. To achieve the research objectives, a survey of 415 undergraduate students was conducted. Correlation coefficients and multiple regressions are the two main methods to aggregate the responded data and to test the hypotheses. It was found...

Research paper thumbnail of A comprehensive systematic and bibliometric review of the IoT-based healthcare systems

Cluster Computing

In the healthcare sector, the growth in technology has had a huge effect. Besides, when introduce... more In the healthcare sector, the growth in technology has had a huge effect. Besides, when introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by helping physicians closely track their patients, allowing rapid recovery. Aged patients/people should be intensively checked, and their loved ones must be aware of their wellbeing periodically. Therefore, using IoT in healthcare will simplify the lives of physicians and patients alike. Hence, this study explored a comprehensive review of intelligent IoT-based embedded healthcare systems. The papers around intelligent IoT-based healthcare systems printed until Dec-2022 are studied, and some research lines are suggested for the upcoming researchers. Thus, this study's innovation will apply healthcare systems based on IoT to include certain strategies for the future deployment of new generations of IoT-based health technology. The findings revealed that IoT is beneficial for governments to strengthen society's health and economic relations. Besides, owing to novel functional principles, IoT needs modern safety infrastructure. This study is helpful for prevalent and useful electronic healthcare services, health experts, and clinicians.

Research paper thumbnail of Optimizing the Interaction Between Two Closed-Loop Supply Chains Based on Inverse Logistics Using the Game Theory Method

Foundations of Computing and Decision Sciences

Over the past few years, attention to environmental problems, legal necessities, and economic adv... more Over the past few years, attention to environmental problems, legal necessities, and economic advantages emerging from reproduction activities has attracted attention to reverse logistics activities in the form of a closed-loop supply chain, whether in industry or scientific research. The current study aims to model competitiveness and comparison between two closed-loop three-level supply chains, each of which includes a manufacturer, a retailer, and a third party to collect the products used by the customer, taking into account the concepts of game theory and the existence of aggregates. Moreover, a separate supplier for each chain is considered. In the forward supply chain, the manufacturer produces new products using new components or re-used products that have been collected from the consumer, then sells these products mainly to the retailer, and the retailer sells them. In the reverse chain, the collector provides the used products to the manufacturer after collection. The stud...

Research paper thumbnail of Predicting Antecedents of Employee Smart Work Adoption Using SEM-Multilayer Perceptron Approach

Human Behavior and Emerging Technologies

The COVID-19 pandemic forced many organizations to move to telework and smart work (SW), and this... more The COVID-19 pandemic forced many organizations to move to telework and smart work (SW), and this practice is expected to continue even later in the postpandemic period. Hence, it is very important for managers and organizations to identify the motivating and deterrent factors in adopting smart work and plan to manage them. Therefore, the present study using an innovative methodology tried to identify and prioritize the factors influencing employee SW adoption. In the first stage, the conceptual model of the research was designed, inspired by the literature. In the next step, using structural equation modeling (SEM), antecedents whose effects on employee SW adoption were confirmed were identified. Finally, the output of the SEM model was considered as the input of the multilayer perceptron (MLP) model, which is an artificial neural network model, to determine the importance of each antecedent in the prediction of employee behavior. The present study provides quantitative empirical e...

Research paper thumbnail of Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors

Foundations of Computing and Decision Sciences

With the globalization of markets and increasing competition in global markets, the attempts of o... more With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has resulted in the emergence of the philosophy of Supply Chain Management. There is uncertainty in the reliability of supply chain facilities for reasons such as natural disasters, terrorist attacks, labor errors, and weather conditions. Therefore, when making strategic decisions, the system will continue to operate with minimal damage. Over the course of this study, the uncertainty of supplier layers in the supply chain has been modeled. To meet that aim, the issue of supply chain, including producers, warehouses, suppliers and consumers are considered. To calculate the cost of breakdowns due to the non-functioning of distributors, the scenario-building method has been utilized. Finally, the desired model is solved with Gomez software and the results are presented. The result of the study demonstrate the efficiency of this model ...

Research paper thumbnail of Fundamental green roof performance of residential building in desert climate: In terms of sustainability and decrease in energy consumption

Sustainable Energy Technologies and Assessments

In modern times, the majority of the world's energy consumption is attributable to the he... more In modern times, the majority of the world's energy consumption is attributable to the heating and cooling of residential buildings. Because of this, the development of sustainable energy sources has increased dramatically, particularly in residential buildings, with the goal of reducing the amount of energy that is consumed within buildings. An extensive green roof system is one of the most effective ways to save energy. Not only does this lessen the impact that humans have on their surroundings, but it also has positive effects on people's health and the way their homes look. The purpose of this study was to investigate the thermal characteristics of green roofs installed on residential buildings in Qatar's hot and dry climate in order to assess their viability and determine how best to minimize energy usage. In the course of this investigation, five distinct heights ranging from 10 to 50 cm were taken into consideration to assess the energy efficiency of the roof. Of these heights, the height of 10 cm was found to be the most suitable height for planting in this environment. In addition, in order to evaluate the performance of roof energy, five plant leaf area indices with values ranging from one to five have been taken into consideration. Of these, the results indicate that the plant leaf area index is the plant planting index that works best in this environment. The larger the plant's leaves, the more protection they will provide from the sun and the higher the yield will be. In addition, to evaluate the effectiveness of the roof energy system, four height dimensions of 8, 13, 18, and 23 cm were considered for the cultivation layer. According to the findings, the height of the plant substrate layer is 23 cm, and the height of the cultivation layer is 18 cm. The cultivation layer that yields the best results for green roofs in this environment.

Research paper thumbnail of Optimization of Renewable Warranty by Considering System Reliability and Preventive Maintenance and Repairs

Industrial Engineering & Management Systems

Research paper thumbnail of Optimizing the Issue of Blood Supply Chain Network Design with a Reliability Approach

Industrial Engineering & Management Systems

Research paper thumbnail of Design a Multi Period Closed-Loop Supply Chain Program to Supply Recycled Products

Foundations of Computing and Decision Sciences

Over the course of the last decades, closed-loop supply chains (CLSC) and reverse logistics issue... more Over the course of the last decades, closed-loop supply chains (CLSC) and reverse logistics issues have attracted increasing attention owing to strict environmental laws, social responsibilities, economic interests, and customer awareness. Hence, the issue of closed-loop supply chain and reverse logistics has emerged as a field of research in the new era. This issue has received much attention because it allows recyclable products to return to their original cycle. Therefore, this study primarily intends to present a mathematical model for designing a supply chain network for recycled products. The multi-stage and multi-period objective function of the closed-loop supply chain is presented to meet that aim. In this chain, dismantling, recycling, and disposal centers are considered. The objective function is to reduce the total cost of the closed-loop supply chain. The results of optimizing the mathematical model demonstrate that this model has the necessary efficiency for use in rec...

Research paper thumbnail of A Developed Optimization Model for Mass Production Scheduling Considering the Role of Waste Materials

International Journal of Industrial Engineering and Management

Research paper thumbnail of A smart building with integrated energy management: Steps toward the creation of a smart city

Sustainable Energy Technologies and Assessments

This study was conducted the 7-story building in Jakarta, Indonesia and was selected as a researc... more This study was conducted the 7-story building in Jakarta, Indonesia and was selected as a research sample. The study aimed to enhancing smart buildings' energy management. Descriptive and analytical methods were used in this study. Analyzing the building's materials (Facade stone, cement sand mortar, Leca block, gypsum and soil mortar, gypsum soft with thermal resistance of 0.41 and heat capacity of 4.5), windows, and energy consumption, it was determined that the lighting sector consumes the most energy. Maximum energy consumption reduction in residential buildings occurs in the lighting sector, and the smart management system cuts residential energy consumption by up to 37%. In addition to providing security and peace of mind, system features such as alarms for natural and abnormal occurrences may also give safety. With the integration of smart management systems in residential buildings, such as security control devices, seismic controllers, imaging controllers, fire alarm systems, and fire extinguishing systems, building resilience will be increased. With the assistance of an smart management system, a reduction in energy consumption of between 20% and 27% will be accomplished.

Research paper thumbnail of An Environmentally Friendly Solution for Waste Facial Masks Recycled in Construction Materials

Sustainability

In response to the COVID-19 pandemic, single-use disposable masks saw a dramatic rise in producti... more In response to the COVID-19 pandemic, single-use disposable masks saw a dramatic rise in production. Facial masks that are not properly disposed of will expose the environment to a form of non-biodegradable plastic waste that will take hundreds of years to degrade. Therefore, recycling such waste in an eco-friendly manner is imperative. Fibered or shredded waste masks can be used to make green concrete that is an environmentally friendly solution to dispose the facial masks. This study prepared six classes of concrete samples, three of which contained fibers from masks and three of which contained shredded masks at the ages of seven days and 28 days. The results show that in the seven-day and 28-day samples, mask fiber added to the mixes resulted in increased compressive strength. For seven-day and 28-day samples, the compressive strength increased by 7.2% and 10%, respectively. Despite that, the results of the shredded mask addition to concrete indicate that the increase in shredde...

Research paper thumbnail of Development of Machine Learning Methods in Hybrid Energy Storage Systems in Electric Vehicles

e hybrid energy storage systems are a practical tool to solve the issues in single energy storage... more e hybrid energy storage systems are a practical tool to solve the issues in single energy storage systems in terms of specific power supply and high specific energy. ese systems are especially applicable in electric and hybrid vehicles. Applying a dynamic and coherent strategy plays a key role in managing a hybrid energy storage system. e data obtained while driving and information collected from energy storage systems can be used to analyze the performance of the provided energy management method. Most existing energy management models follow predetermined rules that are unsuitable for vehicles moving in different modes and conditions. erefore, it is so advantageous to provide an energy management system that can learn from the environment and the driving cycle and send the needed data to a control system for optimal management. In this research, the machine learning method and its application in increasing the efficiency of a hybrid energy storage management system are applied. In this regard, the energy management system is designed based on machine learning methods so that the system can learn to take the necessary actions in different situations directly and without the use of predicted select and run the predefined rules. e advantage of this method is accurate and effective control with high efficiency through direct interaction with the environment around the system. e numerical results show that the proposed machine learning method can achieve the least mean square error in all strategies.

Research paper thumbnail of The Impact of Perceived Service Quality, Customer Perception and Price Strategy on Pharmacy Customer Devotion

Polish Journal of Management Studies, 2019

Research paper thumbnail of Employing artificial neural networks and fluorescence spectrum for food vegetable oils identification

Food Science and Technology, 2021

Research paper thumbnail of The Impact of COVID-19 on Thai Consumer Behaviour in Using Digital Banking

Academy of Strategic Management Journal, 2021

Research paper thumbnail of Optimization of the Location, Inventory and Routing of Capacity Vehicles with Interval Uncertainty

Industrial Engineering & Management Systems

Research paper thumbnail of Scheduling for a Container Supply Chain to Minimize Costs Using the Meta-Innovation Approach

Industrial Engineering & Management Systems

Research paper thumbnail of Study on food sampling routing system based on traveling salesman problem

Food Science and Technology

Research paper thumbnail of Ensuring Environmental Performance of Pharmaceutical Companies of Thailand: Role of Robotics and AI Awareness and Technical Content Knowledge in Industry 4.0 Era

Systematic Reviews in Pharmacy, 2020

The contradictions regarding the improvements of environmental performance and the factors that p... more The contradictions regarding the improvements of environmental performance and the factors that possibly might play a very significant role in that case, led this study to happen. So, the study took robotic and artificial intelligence awareness and technical content knowledge to check their impacts on environmental performance. The study also took industry 4.0 implementation as a mediator to check how well it enhances the impacts of robotic and artificial intelligence awareness and technical content knowledge on environmental performance. By reviewing their past literature, the study devised hypothesis. Then to testify them, researcher collected data from 319 individuals from Pharmaceutical Companies of Thailand. The data was analyzed using SPSS and AMOS, though the past relevant studies did not analyze the relevant problem with such modern techniques. The results showed that the impact of robotic and artificial intelligence awareness and technical content knowledge on environmental...

Research paper thumbnail of The Antecedents of Consumer Trust on Environmental Friendly Products : The Evidence from Thailand

The purpose to this study was to investigate the influences of corporate reputation, consumer ide... more The purpose to this study was to investigate the influences of corporate reputation, consumer identity and consumer awareness on consumer trust toward environmental friendly product in Thailand. The idea of this study was generated according to the increasing pressures of environmental concerns and the fact that consumers are more active to the environmental consequences. Marketers have responded to this growing concern by offering environmental friendly products to the market, but only few of them succeeded. Consumers are always skeptical about the real reasons why business cares about environmental problems. Therefore, an accurate knowledge of factors that truly influence consumer trust toward environmental friendly product needs to be determined. To achieve the research objectives, a survey of 415 undergraduate students was conducted. Correlation coefficients and multiple regressions are the two main methods to aggregate the responded data and to test the hypotheses. It was found...