Pub Date : 2014-09-01DOI: 10.6186/IJIMS.2014.25.3.3
G. Vorel, S. Kao, C. H. Wu, C. Wu
Fatalities are the most costly item of road accidents, particularly due to the loss of potential human output. This paper is based on a modified Peltzman model from 1975 and it estimates coefficients of legal variables (alcohol law and helmet law, both defined as the highest monetary fine for violating the respective law in real terms) and socioeconomic variables (real disposable income per capital, real price of alcohol, real price of fuel, unemployment rate, number of vehicles, and secular trend) against monthly numbers of fatalities in 1991- 2012 time period by using time series OLS multiple regression analysis. The result reveals that helmet law together with unemployment rate and secular trend have a significantly reducing effect whereas real disposable income and number of vehicles have a significantly increasing effect on fatalities. Particular emphasis was laid on explaining the reducing impact of helmet law. Implications and suggestions are also addressed.
{"title":"Determinants of Traffic Fatalities in Taiwan","authors":"G. Vorel, S. Kao, C. H. Wu, C. Wu","doi":"10.6186/IJIMS.2014.25.3.3","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.3.3","url":null,"abstract":"Fatalities are the most costly item of road accidents, particularly due to the loss of potential human output. This paper is based on a modified Peltzman model from 1975 and it estimates coefficients of legal variables (alcohol law and helmet law, both defined as the highest monetary fine for violating the respective law in real terms) and socioeconomic variables (real disposable income per capital, real price of alcohol, real price of fuel, unemployment rate, number of vehicles, and secular trend) against monthly numbers of fatalities in 1991- 2012 time period by using time series OLS multiple regression analysis. The result reveals that helmet law together with unemployment rate and secular trend have a significantly reducing effect whereas real disposable income and number of vehicles have a significantly increasing effect on fatalities. Particular emphasis was laid on explaining the reducing impact of helmet law. Implications and suggestions are also addressed.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82019523","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 : 2014-09-01DOI: 10.6186/IJIMS.2014.25.3.2
She-I Chang, Hsing-Jung Li, Su-Han Cheng, Wan-Yun Lai
The study collects 24 risk management-relevant research papers published between 2000 and 2010 to elicit significant risk factors in an attempt to develop a risk management mechanism for enterprise resource planning (ERP) systems. The study reports on its findings on 49 risk factors by using grounded theory and conducting expert questionnaires. The identified factors are further classified into nine categories based on work system method, and a risk management mechanism is developed thereafter. Finally, two cases are selected to examine the feasibility of the mechanism. The developed mechanism is found to be a practical and proper ERP system risk management tool that can assist enterprises in identifying, analyzing, assessing, and responding to potential risks.
{"title":"Development of a Risk Management Mechanism for Enterprise Resource Planning Systems based on Work System Method","authors":"She-I Chang, Hsing-Jung Li, Su-Han Cheng, Wan-Yun Lai","doi":"10.6186/IJIMS.2014.25.3.2","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.3.2","url":null,"abstract":"The study collects 24 risk management-relevant research papers published between 2000 and 2010 to elicit significant risk factors in an attempt to develop a risk management mechanism for enterprise resource planning (ERP) systems. The study reports on its findings on 49 risk factors by using grounded theory and conducting expert questionnaires. The identified factors are further classified into nine categories based on work system method, and a risk management mechanism is developed thereafter. Finally, two cases are selected to examine the feasibility of the mechanism. The developed mechanism is found to be a practical and proper ERP system risk management tool that can assist enterprises in identifying, analyzing, assessing, and responding to potential risks.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87444726","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 : 2014-07-01DOI: 10.6186/IJIMS.2014.25.2.6
Hui-Hsin Huang
The monetary amount of customers' purchases and interpurchase time are two related and important variables in the realm of business marketing. Yet most research has formulated them independently in prediction models. This paper proposes a prediction model of customer monetary spending using information on interpurchase time. Unlike previous research, we consider interpurchase time according to geometric distribution. Moreover, our monetary prediction model combines interpurchase time and an underlying (basic unit) monetary amount which is assumed as log normal distribution. This study collects empirical data to validate the proposed model and estimate its parameters. We also compare our results with those of interpurchase time following exponential distribution. The results show that our proposed model performances better at monetary forecasting than the exponential model does.
{"title":"A Predictive Model of Customer Monetary Spending Based on Geometric Purchase Time and Lognormal Monetary Model","authors":"Hui-Hsin Huang","doi":"10.6186/IJIMS.2014.25.2.6","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.2.6","url":null,"abstract":"The monetary amount of customers' purchases and interpurchase time are two related and important variables in the realm of business marketing. Yet most research has formulated them independently in prediction models. This paper proposes a prediction model of customer monetary spending using information on interpurchase time. Unlike previous research, we consider interpurchase time according to geometric distribution. Moreover, our monetary prediction model combines interpurchase time and an underlying (basic unit) monetary amount which is assumed as log normal distribution. This study collects empirical data to validate the proposed model and estimate its parameters. We also compare our results with those of interpurchase time following exponential distribution. The results show that our proposed model performances better at monetary forecasting than the exponential model does.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"6 1","pages":"181-194"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78704304","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 : 2014-07-01DOI: 10.6186/IJIMS.2014.25.2.3
Ruey-Chyn Tsaur, S. Chan
Support vector regression (SVR) has been successful in function approximation for forecasting analysis based on the idea of structural risk minimization. SVR has perfect forecasting performance by employing in large sample size for training and solving its parameters, where the SVR is difficult to be applied in limited time series data with some fluctuated points; in contrast, grey model has better forecasting performance in limited time series data. In order to cope with this problem, we use both of the advantages of support vector regression model and grey theory to construct a new grey support vector regression (GSVR) model for solving limited data with some fluctuations. Finally, we demonstrate an application for planning China tourism demand for improving the tourism infrastructure in Taiwan with a better forecasting performance.
{"title":"Grey Support Vector Regression Model with Applications to China Tourists Forecasting in Taiwan","authors":"Ruey-Chyn Tsaur, S. Chan","doi":"10.6186/IJIMS.2014.25.2.3","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.2.3","url":null,"abstract":"Support vector regression (SVR) has been successful in function approximation for forecasting analysis based on the idea of structural risk minimization. SVR has perfect forecasting performance by employing in large sample size for training and solving its parameters, where the SVR is difficult to be applied in limited time series data with some fluctuated points; in contrast, grey model has better forecasting performance in limited time series data. In order to cope with this problem, we use both of the advantages of support vector regression model and grey theory to construct a new grey support vector regression (GSVR) model for solving limited data with some fluctuations. Finally, we demonstrate an application for planning China tourism demand for improving the tourism infrastructure in Taiwan with a better forecasting performance.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"74 1","pages":"121-138"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86367249","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 : 2014-07-01DOI: 10.6186/IJIMS.2014.25.2.5
Tser-yieth Chen, Tsai-Lien Yeh, Chia-Hui Chu
This study identifies a causal relationship among storytelling marketing strategies, consumer identity, and consumer intentions toward cultural and creative brands that use digital archives for marketing Chinese calligraphy, ancient paintings and literature. We show that storytelling can affect culture identity through event marketing. Brand identity and culture identity exert positive cultural influences on consumer brand opinions. Thus, producers or marketers of cultural brands could improve consumer-brand relationships by promoting cultural stories at exhibitions associated with their brands. To attract visitors, they could arouse cultural resonance by sharing the creative ideas that inspired their unique products. Our proposed approach could impress visitors and increase their awareness of the refined products offered by cultural brands.
{"title":"Storytelling and Brand Identity in Cultural Digital Archives Industry","authors":"Tser-yieth Chen, Tsai-Lien Yeh, Chia-Hui Chu","doi":"10.6186/IJIMS.2014.25.2.5","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.2.5","url":null,"abstract":"This study identifies a causal relationship among storytelling marketing strategies, consumer identity, and consumer intentions toward cultural and creative brands that use digital archives for marketing Chinese calligraphy, ancient paintings and literature. We show that storytelling can affect culture identity through event marketing. Brand identity and culture identity exert positive cultural influences on consumer brand opinions. Thus, producers or marketers of cultural brands could improve consumer-brand relationships by promoting cultural stories at exhibitions associated with their brands. To attract visitors, they could arouse cultural resonance by sharing the creative ideas that inspired their unique products. Our proposed approach could impress visitors and increase their awareness of the refined products offered by cultural brands.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"10 1","pages":"157-179"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84472578","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 : 2014-07-01DOI: 10.6186/IJIMS.2014.25.2.1
H. Pham, David H. Pham
We present a new 4-parameter logistic growth model where the rate of change of quantity function is directly proportional to its remaining quantity for growth by a time-dependent logistic function per quantity per unit time. The model can be used to determine the expected number of quantities at time t. Several real world applications are discussed to illustrate the usefulness of the new model including the earthquake occurrence events, the student population growth, and the software modeling. Examples are included to illustrate the goodness-of-fit of the proposed model and existing logistic growth models based on real data sets collected from software applications, earthquake events in the US, and a high school senior class. Three goodness-of-fit test criteria and a recent normalized criteria distance method are used to illustrate the model comparisons. The results show that the proposed model fit significantly better than other existing growth models.
{"title":"A New Mathematical Logistic Model and Its Applications","authors":"H. Pham, David H. Pham","doi":"10.6186/IJIMS.2014.25.2.1","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.2.1","url":null,"abstract":"We present a new 4-parameter logistic growth model where the rate of change of quantity function is directly proportional to its remaining quantity for growth by a time-dependent logistic function per quantity per unit time. The model can be used to determine the expected number of quantities at time t. Several real world applications are discussed to illustrate the usefulness of the new model including the earthquake occurrence events, the student population growth, and the software modeling. Examples are included to illustrate the goodness-of-fit of the proposed model and existing logistic growth models based on real data sets collected from software applications, earthquake events in the US, and a high school senior class. Three goodness-of-fit test criteria and a recent normalized criteria distance method are used to illustrate the model comparisons. The results show that the proposed model fit significantly better than other existing growth models.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"26 1","pages":"79-99"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88380697","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 : 2014-07-01DOI: 10.6186/IJIMS.2014.25.2.2
Suh-Jenq Yang, Chien-Jung Lai
In this paper we consider multiple common due windows assignment and single-machine scheduling problems with general position-dependent and resource-dependent processing times simultaneously. Multiple common due windows, an extension of single common due window, allow a job to fit one from multiple common due windows. We assume that the number of common due windows to be assigned to the jobs is given. Two resource allocation models are examined, namely the linear resource consumption model and the convex re-source consumption model. The actual processing time of a job is a function of its scheduled position in a sequence and its resource allocation. We aim to determine jointly the optimal common due window positions and sizes, the set of jobs assigned to each common due window, the optimal resource allocations, and the optimal schedule for minimizing an objective function which includes earliness, tardiness, common due windows assignment, makespan, and resource consumption costs. We provide some properties of the optimal schedule for the problem and propose polynomial time algorithms for all the problems considered.
{"title":"Scheduling with Multiple Common Due Windows Assignment and General Position-Dependent and Resource-Dependent Processing Times","authors":"Suh-Jenq Yang, Chien-Jung Lai","doi":"10.6186/IJIMS.2014.25.2.2","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.2.2","url":null,"abstract":"In this paper we consider multiple common due windows assignment and single-machine scheduling problems with general position-dependent and resource-dependent processing times simultaneously. Multiple common due windows, an extension of single common due window, allow a job to fit one from multiple common due windows. We assume that the number of common due windows to be assigned to the jobs is given. Two resource allocation models are examined, namely the linear resource consumption model and the convex re-source consumption model. The actual processing time of a job is a function of its scheduled position in a sequence and its resource allocation. We aim to determine jointly the optimal common due window positions and sizes, the set of jobs assigned to each common due window, the optimal resource allocations, and the optimal schedule for minimizing an objective function which includes earliness, tardiness, common due windows assignment, makespan, and resource consumption costs. We provide some properties of the optimal schedule for the problem and propose polynomial time algorithms for all the problems considered.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"34 1","pages":"101-120"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80050282","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 : 2014-07-01DOI: 10.6186/IJIMS.2014.25.2.4
Shofang Chang, C. Pu, Ping-Jung Hsieh
This study explores a process that conducts regional competition analysis of medical tourism. It conducts a Modified Delphi expert consensus process and analytic network process (ANP) to explore the associations and weights of the factors in the evaluation model. The results demonstrate that the government factors, including government support and the legal system, are the most important competitive factors of the medical tourism industry. High-ranking sub-criteria, including the marketing strategy and physician training systems, are related to the government factor. Short-term treatment medical programs, such as cosmetic surgery and dentistry, are priorities for development. A friendly legal system and government-led marketing strategies are strongly suggested for development in Taiwan. Superior healthcare quality and a well-established and a physician training system are Taiwans main competitive advantages compared with the rest of Asia. The model provides an objective view for evaluating the importance of competitive factors for developing medical tourism and builds a framework to analyze the regional competition of medical tourism.
{"title":"A Regional Competition Analysis of Medical Tourism Industry-an Example of Taiwan","authors":"Shofang Chang, C. Pu, Ping-Jung Hsieh","doi":"10.6186/IJIMS.2014.25.2.4","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.2.4","url":null,"abstract":"This study explores a process that conducts regional competition analysis of medical tourism. It conducts a Modified Delphi expert consensus process and analytic network process (ANP) to explore the associations and weights of the factors in the evaluation model. The results demonstrate that the government factors, including government support and the legal system, are the most important competitive factors of the medical tourism industry. High-ranking sub-criteria, including the marketing strategy and physician training systems, are related to the government factor. Short-term treatment medical programs, such as cosmetic surgery and dentistry, are priorities for development. A friendly legal system and government-led marketing strategies are strongly suggested for development in Taiwan. Superior healthcare quality and a well-established and a physician training system are Taiwans main competitive advantages compared with the rest of Asia. The model provides an objective view for evaluating the importance of competitive factors for developing medical tourism and builds a framework to analyze the regional competition of medical tourism.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"468 1","pages":"139-156"},"PeriodicalIF":0.0,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77739040","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 : 2014-03-01DOI: 10.6186/IJIMS.2014.25.1.3
Po-yuan Chen, Horng-Jinh Chang
This paper aims to address a contracting problem between upstream and downstream agents in a supply chain using a stochastic demand process with autocorrelation properties. For example, the quarterly global sales volumes of Apple's iPhone are highly autocorrelated over time although the time lag is as long as 10 quarters. Based on such empirical evidence, an autocorrelated demand process referred to as fractional Brownian motion is adopted in this paper. It is assumed that there are two echelons in the supply chain: business and consumer markets. The information flows fall into four categories: demand flow, marketing info flow, uncertainty flow, and premium charge flow. The downstream agent can transfer demand uncertainty to the upstream firm (uncertainty flow) by signing a supply contract (contracting agent). The demand in the consumer market is assumed to follow a fractional Brownian motion. Based on the fractional Ito formula for the real option model, the result demonstrates that the real option value can be an increasing or decreasing function of the degree of autocorrelation in which the real option value reaches its maximum at the critical point. As a consequence, the trading price determined in the supply contract without considering the autocorrelation of demand could be significantly undervalued or overvalued. In other words, to ensure a fair game in a contracting activity, the upstream agent should charge more for the trading price depending on the degree of autocorrelation in demand.
{"title":"The Pricing of a Supply Contract under Uncertainty with Long-Range Dependence","authors":"Po-yuan Chen, Horng-Jinh Chang","doi":"10.6186/IJIMS.2014.25.1.3","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.1.3","url":null,"abstract":"This paper aims to address a contracting problem between upstream and downstream agents in a supply chain using a stochastic demand process with autocorrelation properties. For example, the quarterly global sales volumes of Apple's iPhone are highly autocorrelated over time although the time lag is as long as 10 quarters. Based on such empirical evidence, an autocorrelated demand process referred to as fractional Brownian motion is adopted in this paper. It is assumed that there are two echelons in the supply chain: business and consumer markets. The information flows fall into four categories: demand flow, marketing info flow, uncertainty flow, and premium charge flow. The downstream agent can transfer demand uncertainty to the upstream firm (uncertainty flow) by signing a supply contract (contracting agent). The demand in the consumer market is assumed to follow a fractional Brownian motion. Based on the fractional Ito formula for the real option model, the result demonstrates that the real option value can be an increasing or decreasing function of the degree of autocorrelation in which the real option value reaches its maximum at the critical point. As a consequence, the trading price determined in the supply contract without considering the autocorrelation of demand could be significantly undervalued or overvalued. In other words, to ensure a fair game in a contracting activity, the upstream agent should charge more for the trading price depending on the degree of autocorrelation in demand.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"33 1","pages":"35-49"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78755532","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 : 2014-03-01DOI: 10.6186/IJIMS.2014.25.1.5
Jin-Long Lu, Wen-Tai Lai
This study investigated business air travelers' willingness to pay (WTP) for in-flight wire-less Internet service (WIS) and when WTP is positive or conditional, the payment amount. We used the contingent valuation method to elicit the WTP from Taiwanese business air passengers and employed an independent two-equation model to determine the potential factors. Raw data analysis indicated that 40% of the respondents were willing to pay for in-flight WIS. Among the respondents who were willing to pay, the maximal and minimal stated WTP for unlimited use of in-flight WIS were US$48 and US$6, respectively. The conditional mean WTP was approximately US$13. The estimated model also suggested that several variables determined the probability of a positive WTP: personal monthly income, spending greater than one hour on WIS at the airport, perceptions regarding the necessity of onboard WIS, and flight length.
{"title":"Business Air Travelers Willingness to Pay for In-flight Wireless Internet Service: An Exploratory Study","authors":"Jin-Long Lu, Wen-Tai Lai","doi":"10.6186/IJIMS.2014.25.1.5","DOIUrl":"https://doi.org/10.6186/IJIMS.2014.25.1.5","url":null,"abstract":"This study investigated business air travelers' willingness to pay (WTP) for in-flight wire-less Internet service (WIS) and when WTP is positive or conditional, the payment amount. We used the contingent valuation method to elicit the WTP from Taiwanese business air passengers and employed an independent two-equation model to determine the potential factors. Raw data analysis indicated that 40% of the respondents were willing to pay for in-flight WIS. Among the respondents who were willing to pay, the maximal and minimal stated WTP for unlimited use of in-flight WIS were US$48 and US$6, respectively. The conditional mean WTP was approximately US$13. The estimated model also suggested that several variables determined the probability of a positive WTP: personal monthly income, spending greater than one hour on WIS at the airport, perceptions regarding the necessity of onboard WIS, and flight length.","PeriodicalId":39953,"journal":{"name":"International Journal of Information and Management Sciences","volume":"12 1","pages":"67-77"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84686044","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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