Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025255
Monika Tantayanubutr, Vinai Panjakajornsak
This research aims to develop a structural model to analyze the impact of Green Innovation towards the economic performance of food industrial firms implementing Green Innovation approach, in compliance with the national Green Industry initiative in Thailand. The conceptual framework is built on the study of relevant variables from existing theories and empirical research findings, focusing on the correlation of Green Supply Chain Integration and Corporate Social Responsibility. The target population is selected from entrepreneurs and Chief Executive Officers involved in food industry, of those 2,145 accredited Green Industry Mark from the Ministry of Industry Thailand. Research methodology applies the combination of collecting quantitative data from questionnaires, and exploring qualitative data from in-depth interviews to reaffirm the findings. An analysis on inferential statistics is to be conducted through Structural Equation Modeling. The research results will address key factors and formulate a structural model that provides new insight in analyzing Green Innovation challenges that impact economic performance of food industry in Thailand.
{"title":"Impact of Green Innovation towards economic performance of food industrial firms applying green industry approach under green industry project of Ministry of Industry Thailand","authors":"Monika Tantayanubutr, Vinai Panjakajornsak","doi":"10.1109/MITICON.2016.8025255","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025255","url":null,"abstract":"This research aims to develop a structural model to analyze the impact of Green Innovation towards the economic performance of food industrial firms implementing Green Innovation approach, in compliance with the national Green Industry initiative in Thailand. The conceptual framework is built on the study of relevant variables from existing theories and empirical research findings, focusing on the correlation of Green Supply Chain Integration and Corporate Social Responsibility. The target population is selected from entrepreneurs and Chief Executive Officers involved in food industry, of those 2,145 accredited Green Industry Mark from the Ministry of Industry Thailand. Research methodology applies the combination of collecting quantitative data from questionnaires, and exploring qualitative data from in-depth interviews to reaffirm the findings. An analysis on inferential statistics is to be conducted through Structural Equation Modeling. The research results will address key factors and formulate a structural model that provides new insight in analyzing Green Innovation challenges that impact economic performance of food industry in Thailand.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025228
Thienrawish Pitchayaviwat
Now a day Social media communication become to important factor for business operation. Several Customer prefers to post their comment, suggestion, complaints about company's products and services to online media such as Facebook, Twitter, Social web board because it easy way to blast to public and increases pressure to product owner for responding. This is one factor that cooperate need to be concern and manage responding to customer services that match to customer requirements by analyzes customer suggestion on social media vice versa they can detect negative feedback or complaints early which, able to prevent their reputation. This study was collected text that contains customer suggestion on insurance services from various online social media and extract some specific word via Thai text segmentation and coverts text to Vector Space Model (VSM) based on TF-IDF. We performs experiment by used 800 records of textcrawler and implement two clustering models algorithm which include K-Means and Self-Organization Map (SOM) for clustering suggestion text into three cluster groups as follow Cluster_0 is about to customer feedback on Car Insurance Policy, Car Insurance Premium or Insurance Renewal, Cluster_1 is contains customer feedback on insurance claim services, Cluster_2 is about customer enquired general information. We use “Davies-Bouldin index” method[3] for evaluating both clustering algorithms. A result of experiment shows that K-Means has a significant performance higher than SOM. Finally, The benefit of this study able to help insurance company improve their products and services and increase customer satisfaction and retention strategies planning.
{"title":"A study on clustering customer suggestion on online social media about insurance services by using text mining techniques","authors":"Thienrawish Pitchayaviwat","doi":"10.1109/MITICON.2016.8025228","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025228","url":null,"abstract":"Now a day Social media communication become to important factor for business operation. Several Customer prefers to post their comment, suggestion, complaints about company's products and services to online media such as Facebook, Twitter, Social web board because it easy way to blast to public and increases pressure to product owner for responding. This is one factor that cooperate need to be concern and manage responding to customer services that match to customer requirements by analyzes customer suggestion on social media vice versa they can detect negative feedback or complaints early which, able to prevent their reputation. This study was collected text that contains customer suggestion on insurance services from various online social media and extract some specific word via Thai text segmentation and coverts text to Vector Space Model (VSM) based on TF-IDF. We performs experiment by used 800 records of textcrawler and implement two clustering models algorithm which include K-Means and Self-Organization Map (SOM) for clustering suggestion text into three cluster groups as follow Cluster_0 is about to customer feedback on Car Insurance Policy, Car Insurance Premium or Insurance Renewal, Cluster_1 is contains customer feedback on insurance claim services, Cluster_2 is about customer enquired general information. We use “Davies-Bouldin index” method[3] for evaluating both clustering algorithms. A result of experiment shows that K-Means has a significant performance higher than SOM. Finally, The benefit of this study able to help insurance company improve their products and services and increase customer satisfaction and retention strategies planning.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123907768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025254
K. Matra
In this research, germination enhancement of sunflower seeds by electrical methods has been proposed. The influence of non-thermal plasma and electric field treatment on germination improvement of sunflower seeds was studied. For the plasma-treated cases, sunflower seeds were irradiated by argon-oxygen plasma at the gas flow rate of 5:5 liter per minute. The experiments for electric field case, sunflowers were placed in the same magnitude of electric field in the plasma-treated cases, but mixed gas was not fed to the systems. All the experiments were treated for 90 seconds at the source voltage of 9, 11, 13 and 15 kilovolts. The experimental results showed that both methods could improving the germination rate and germination percentage of sunflower seeds. In both electrical treatment methods, the germinating rate was higher than that the controlled group for 14%, approximately. However, in the case of electric field treatment, the electric arc was easy to take place at high voltage, which could damage the sunflower seeds.
在这项研究中，提出了电促进向日葵种子发芽的方法。研究了非热等离子体和电场处理对向日葵种子萌发的影响。在等离子体处理的病例中，用氩氧等离子体照射葵花籽，气体流速为5:5 l / min。在电场情况下，在等离子体处理的情况下，向日葵被放置在相同大小的电场中，但不向系统输入混合气体。所有实验在9、11、13和15千伏电压下处理90秒。实验结果表明，两种处理方法均能提高葵花籽的发芽率和发芽率。两种电处理方法的发芽率均比对照组高14%左右。但电场处理时，在高压下容易产生电弧，对葵花籽造成损伤。
{"title":"Electrical treatment methods for sunflower seed germination enrichment","authors":"K. Matra","doi":"10.1109/MITICON.2016.8025254","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025254","url":null,"abstract":"In this research, germination enhancement of sunflower seeds by electrical methods has been proposed. The influence of non-thermal plasma and electric field treatment on germination improvement of sunflower seeds was studied. For the plasma-treated cases, sunflower seeds were irradiated by argon-oxygen plasma at the gas flow rate of 5:5 liter per minute. The experiments for electric field case, sunflowers were placed in the same magnitude of electric field in the plasma-treated cases, but mixed gas was not fed to the systems. All the experiments were treated for 90 seconds at the source voltage of 9, 11, 13 and 15 kilovolts. The experimental results showed that both methods could improving the germination rate and germination percentage of sunflower seeds. In both electrical treatment methods, the germinating rate was higher than that the controlled group for 14%, approximately. However, in the case of electric field treatment, the electric arc was easy to take place at high voltage, which could damage the sunflower seeds.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116323299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper introduces the attack detection performance comparison between two famous firewall systems, Endian and pfSense. The non-paid unrestricted versions with basic default configuration were set up to be attacked from the outside network. The attack scenarios included port scanning, ping of death, flooding, and password attack in different conditions. The results showed that pfSense performance was better in overall. Basic setup of Endian could detect more attacking categories but fewer occurrences. Therefore, Endian could be suitable for non-commercial, home, small enterprise with less important network and data. On the other hand, pfSense could be worth using in a wider variety of organization, however, with some configuration modification.
{"title":"Defensive performance comparison of firewall systems","authors":"Mingphum Arunwan, Tanachad Laong, Kiattichai Atthayuwat","doi":"10.1109/MITICON.2016.8025212","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025212","url":null,"abstract":"This paper introduces the attack detection performance comparison between two famous firewall systems, Endian and pfSense. The non-paid unrestricted versions with basic default configuration were set up to be attacked from the outside network. The attack scenarios included port scanning, ping of death, flooding, and password attack in different conditions. The results showed that pfSense performance was better in overall. Basic setup of Endian could detect more attacking categories but fewer occurrences. Therefore, Endian could be suitable for non-commercial, home, small enterprise with less important network and data. On the other hand, pfSense could be worth using in a wider variety of organization, however, with some configuration modification.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114610559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025244
Anusorn Charleonnan
Currently, enterprise systems have been focusing on expenditure services through credit card broadly because it is convenient and quick to pay for products and services. Thus, this research emphasizes on the fraud detection of credit card payment by using the machine learning technique called RUSMRN. The proposed method adopts three base classifiers which are MLP, NB and Naive Bayes algorithms. In addition, it can analyze the correctness to work with the unbalance datasets. Therefore, this research is focusing on the information of the credit card company of Taiwan for collecting data of customer behaviors in credit card payment. After that, it has brought the information to make prediction for correctness whether it has the risks in payment. The result shows that the proposed method can achieve the best classification performance in terms of accuracy and sensitivity.
{"title":"Credit card fraud detection using RUS and MRN algorithms","authors":"Anusorn Charleonnan","doi":"10.1109/MITICON.2016.8025244","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025244","url":null,"abstract":"Currently, enterprise systems have been focusing on expenditure services through credit card broadly because it is convenient and quick to pay for products and services. Thus, this research emphasizes on the fraud detection of credit card payment by using the machine learning technique called RUSMRN. The proposed method adopts three base classifiers which are MLP, NB and Naive Bayes algorithms. In addition, it can analyze the correctness to work with the unbalance datasets. Therefore, this research is focusing on the information of the credit card company of Taiwan for collecting data of customer behaviors in credit card payment. After that, it has brought the information to make prediction for correctness whether it has the risks in payment. The result shows that the proposed method can achieve the best classification performance in terms of accuracy and sensitivity.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025219
Kitipong Tangkit, Vinai Panjakajornsak
Radical innovation has been considered as a main source of competitive advantage for Thai furniture industry which is the important industrial sector that needs creative ideas, skills to increase value added and industrial value. Innovative capability of firms in this industry is also required in order to enable them to survive and prosper in face of increasing both local and foreign competitors. This research aims to develop a structural model of radical innovation and the relevant factors of market orientation, organizational learning, and entrepreneurial orientation affecting competitive advantage of firms in the furniture industry. The populations of this study are the top executives and marketing managers of 4,118 firms in the furniture industry. The research methodologies applied are both in-depth interviews and 7-point Likert scale questionnaires. The result from value of this research will be a structural model of innovation that can be applied to improve competitive advantage of firms in the furniture industry.
{"title":"The radical innovation affecting competitive advantage of the Thai furniture industry","authors":"Kitipong Tangkit, Vinai Panjakajornsak","doi":"10.1109/MITICON.2016.8025219","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025219","url":null,"abstract":"Radical innovation has been considered as a main source of competitive advantage for Thai furniture industry which is the important industrial sector that needs creative ideas, skills to increase value added and industrial value. Innovative capability of firms in this industry is also required in order to enable them to survive and prosper in face of increasing both local and foreign competitors. This research aims to develop a structural model of radical innovation and the relevant factors of market orientation, organizational learning, and entrepreneurial orientation affecting competitive advantage of firms in the furniture industry. The populations of this study are the top executives and marketing managers of 4,118 firms in the furniture industry. The research methodologies applied are both in-depth interviews and 7-point Likert scale questionnaires. The result from value of this research will be a structural model of innovation that can be applied to improve competitive advantage of firms in the furniture industry.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025261
Wannana Panuwatsuk, Pumate Duanden
Ozone generator was fabricated in the size of 40×12.5×12.5 cm3. It composed of 6 ozone tubes, a computer fan, electronic board with variable resistors and adjustable buttons of 7 ozone production levels. The generator was operated in a chamber of 96.5×47×47 cm3 representing a model room met air ventilation standard. At level 1 of operation, ozone concentration in the chamber was to be 0.1 ppm which is obeyed the standard OSHA recommendation for 8 hrs of working. The generator was also tested in a normal room with the size of 4×4×2 m3. Due to low flow of computer fan, the generator was performed to obtain ozone concentration of 0.1 ppm as following: turning on at level 7 for 3 hrs and further on at level 3 until 8 hrs.
{"title":"Fabrication of ozone generator for indoor air quality","authors":"Wannana Panuwatsuk, Pumate Duanden","doi":"10.1109/MITICON.2016.8025261","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025261","url":null,"abstract":"Ozone generator was fabricated in the size of 40×12.5×12.5 cm3. It composed of 6 ozone tubes, a computer fan, electronic board with variable resistors and adjustable buttons of 7 ozone production levels. The generator was operated in a chamber of 96.5×47×47 cm3 representing a model room met air ventilation standard. At level 1 of operation, ozone concentration in the chamber was to be 0.1 ppm which is obeyed the standard OSHA recommendation for 8 hrs of working. The generator was also tested in a normal room with the size of 4×4×2 m3. Due to low flow of computer fan, the generator was performed to obtain ozone concentration of 0.1 ppm as following: turning on at level 7 for 3 hrs and further on at level 3 until 8 hrs.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129972381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025233
P. Srinil, P. Thongnim, S. Foitong, O. Pinngern
This paper proposes an algorithm to perform an online fuzzy system construction was called FsXCS (Fuzzy Strength-Based XCS). FsXCS is the extended XCS system combining XCS with fuzzy logic theory to tackle the multi-step continuous input-output problems. Indeed, XCS is a great attention discrete-valued system considering from the rule generalization system. However, it becomes more difficult when extending to continuous-valued systems, and even more difficult when addressed in multi-step continuous input-output problems. In order to develop FsXCS, we propose new computation details on some XCS components while these changes do not affect the original XCS's learning procedures. The performance of FsXCS was tested on simulation classical continuous problems; n-Environment, and automatically back driving a truck. The experimental results ware compared to the tabular Q-Learing with high discretization.
{"title":"Fuzzy strength-based XCS: An application on multi-step environment problems","authors":"P. Srinil, P. Thongnim, S. Foitong, O. Pinngern","doi":"10.1109/MITICON.2016.8025233","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025233","url":null,"abstract":"This paper proposes an algorithm to perform an online fuzzy system construction was called FsXCS (Fuzzy Strength-Based XCS). FsXCS is the extended XCS system combining XCS with fuzzy logic theory to tackle the multi-step continuous input-output problems. Indeed, XCS is a great attention discrete-valued system considering from the rule generalization system. However, it becomes more difficult when extending to continuous-valued systems, and even more difficult when addressed in multi-step continuous input-output problems. In order to develop FsXCS, we propose new computation details on some XCS components while these changes do not affect the original XCS's learning procedures. The performance of FsXCS was tested on simulation classical continuous problems; n-Environment, and automatically back driving a truck. The experimental results ware compared to the tabular Q-Learing with high discretization.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121029726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025253
Phunthep Vititanane
This paper aims to develop legals in promoting and protecting the right of education for disabled students in higher education institutions. The qualitative research methodology based on documentary evaluation is involved. Conforming to the guidelines on constitutional rights of the disabled students, constitution, government policies, and legal mechanisms in acts are still have some disadvantages and restrictions, where the implementations of the certain government policies and the legal enforcement are not effective. The investigation results are illustrated that the contributing factors of the promotion and protection on the right institutions require guardians on the basic peoples' right with disabilities on particularly accession in public services. The law in the acts is introduced to protect and guarantee the fundamental rights; the non-discrimination, the promoting participation in society, the respect on difference and acceptance of diversity, the equality of opportunity, and the accession in public services, according to international agreements, where Thailand has a legal relationship with other states or other international organizations. Finally, the mechanisms for managing the government to promote and protect the right to education of disabled students in higher education institutions is recommended as policies definition and development plans based on fairness and educational opportunities for disabilities people on higher education.
{"title":"Law for the promotion and protection of the right to education of students with disabilities in the university","authors":"Phunthep Vititanane","doi":"10.1109/MITICON.2016.8025253","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025253","url":null,"abstract":"This paper aims to develop legals in promoting and protecting the right of education for disabled students in higher education institutions. The qualitative research methodology based on documentary evaluation is involved. Conforming to the guidelines on constitutional rights of the disabled students, constitution, government policies, and legal mechanisms in acts are still have some disadvantages and restrictions, where the implementations of the certain government policies and the legal enforcement are not effective. The investigation results are illustrated that the contributing factors of the promotion and protection on the right institutions require guardians on the basic peoples' right with disabilities on particularly accession in public services. The law in the acts is introduced to protect and guarantee the fundamental rights; the non-discrimination, the promoting participation in society, the respect on difference and acceptance of diversity, the equality of opportunity, and the accession in public services, according to international agreements, where Thailand has a legal relationship with other states or other international organizations. Finally, the mechanisms for managing the government to promote and protect the right to education of disabled students in higher education institutions is recommended as policies definition and development plans based on fairness and educational opportunities for disabilities people on higher education.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114451847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/MITICON.2016.8025226
P. Teekasap
There is a long debate whether the IT investment can stimulate firm performance. This paper aims to shed more light on this issue by developing a mathematical simulation model that is based on the reasons from different schools of thought. The results show that both schools of though are correct in different situation. In an early era, superior IT infrastructure can create a better firm performance because it can differentiate the IT leaders from others. However, in a long run, other firms are aware of benefits from IT investment so they invest more on IT projects. IT outsourcers and consultants also gain more experience from working in multiple projects which make the IT cost lower. Therefore, in a long run, IT investment does not drive a firm performance.
{"title":"Information technology investment and firm performance","authors":"P. Teekasap","doi":"10.1109/MITICON.2016.8025226","DOIUrl":"https://doi.org/10.1109/MITICON.2016.8025226","url":null,"abstract":"There is a long debate whether the IT investment can stimulate firm performance. This paper aims to shed more light on this issue by developing a mathematical simulation model that is based on the reasons from different schools of thought. The results show that both schools of though are correct in different situation. In an early era, superior IT infrastructure can create a better firm performance because it can differentiate the IT leaders from others. However, in a long run, other firms are aware of benefits from IT investment so they invest more on IT projects. IT outsourcers and consultants also gain more experience from working in multiple projects which make the IT cost lower. Therefore, in a long run, IT investment does not drive a firm performance.","PeriodicalId":127868,"journal":{"name":"2016 Management and Innovation Technology International Conference (MITicon)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116085929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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