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Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as “Wash Hands” and “Wear Face Mask”. A total of 57 participants were recruited to perform two different tests: ranking test and subjective rating test. The ranking test was conducted to elicit the preference ranking of seven icon designs representing each function name. It was followed by a subjective rating test using 13 semantic scales on the two most preferred icons to analyze their perceived quality. Spearmen correlation was applied to derive the possible correlations between users’ rankings and the semantic scales, and Friedman’s test was also performed to determine the true difference between ranking in terms of each semantic scale to provide a fully meaningful interpretation of the data. Generally, findings from the current study showed that the image presented in the icon is the key point that affects the icons’ perceived quality. Interestingly, Spearman’s correlation analysis between preference ranking and semantic scales showed that vague–clear, weak–strong, incompatible–compatible, and ineffective–effective were the four strongest semantic scales that highly correlated with the preference ranking. Considering the significant relationships between the semantic distances and the functions, images depicted in an icon should be realistic and as close as possible to its respected function to cater to users’ preferences. In addition, the results of Spearman’s correlation and Friedman’s test also inferred that compatibility and clarity of icon elements are the main factors determining a particular icon’s preferability. This study is the first comprehensive study to evaluate the icons associated with the COVID-19 prevention measures. The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures. Furthermore, the approach can also be applied and extended for evaluating other medical icons.
Yogi Tri Prasetyo; Ratna Sari Dewi; Naiomi M. Balatbat; Michael Lancelot B. Antonio; Thanatorn Chuenyindee; Anak Agung Ngurah Perwira Redi; Michael Nayat Young; John Francis T. Diaz; Yoshiki B. Kurata. The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures. Healthcare 2021, 9, 1115 .
AMA StyleYogi Tri Prasetyo, Ratna Sari Dewi, Naiomi M. Balatbat, Michael Lancelot B. Antonio, Thanatorn Chuenyindee, Anak Agung Ngurah Perwira Redi, Michael Nayat Young, John Francis T. Diaz, Yoshiki B. Kurata. The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures. Healthcare. 2021; 9 (9):1115.
Chicago/Turabian StyleYogi Tri Prasetyo; Ratna Sari Dewi; Naiomi M. Balatbat; Michael Lancelot B. Antonio; Thanatorn Chuenyindee; Anak Agung Ngurah Perwira Redi; Michael Nayat Young; John Francis T. Diaz; Yoshiki B. Kurata. 2021. "The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures." Healthcare 9, no. 9: 1115.
Online meeting platforms have been widely utilized during the COVID-19 pandemic due to the current shift from traditional learning. However, the acceptance of the different online meeting platforms for e-learning has been underexplored. The purpose of this study was to determine the factors for acceptance of an online learning platform among students during the COVID-19 pandemic. A total of 500 senior high school students voluntarily participated to answer constructs under the Extended Technology Acceptance Model (ETAM) and Delone and McLean IS Success Model. Several latent including user interface (UI), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), system quality (SQ), behavioral intentions (BI), and actual use were analyzed by Structural Equation Modeling (SEM). The results indicated that PEU was found to have the greatest on actual use (AU), followed by UI and SQ towards PEU, which subsequently led to BI and AU. Finally, IQ was found to have a significant effect on PU, which led to BI and AU. The level of student acceptability considers the ease of use, user interface, system quality, information quality, leading to a positive behavioral intention for actual use. With that, it would be of best interest to consider the factors that would lead students towards accepting the platforms utilized and therefore the current education system. Moreover, this will lead to their acceptance and promote learning even with the COVID-19 pandemic. Finally, the model construct can be applied and utilized to analyze the online learning platforms in other countries.
Yogi Prasetyo; Ardvin Ong; Giero Concepcion; Francheska Navata; Raphael Robles; Isaiash Tomagos; Michael Young; John Diaz; Reny Nadlifatin; Anak Redi. Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model. Sustainability 2021, 13, 8365 .
AMA StyleYogi Prasetyo, Ardvin Ong, Giero Concepcion, Francheska Navata, Raphael Robles, Isaiash Tomagos, Michael Young, John Diaz, Reny Nadlifatin, Anak Redi. Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model. Sustainability. 2021; 13 (15):8365.
Chicago/Turabian StyleYogi Prasetyo; Ardvin Ong; Giero Concepcion; Francheska Navata; Raphael Robles; Isaiash Tomagos; Michael Young; John Diaz; Reny Nadlifatin; Anak Redi. 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model." Sustainability 13, no. 15: 8365.
The decline of enrollees for industrial engineering during the COVID-19 pandemic and the increasing demand for professional industrial engineers should be explored. The purpose of this study was to determine the preference of industrial engineering students of different educational levels on online learning during the COVID-19 pandemic. Specifically, this study utilized conjoint analysis with orthogonal design considering seven attributes: delivery type, layout, term style, final requirements, Coursera requirements, seatwork and practice sets, and platforms. Among the attributes, 20 stimuli were created through SPSS and were answered voluntarily by 126 respondents utilizing a 7-point Likert Scale. The respondents were comprised of 79 undergraduate, 30 fully online master’s degree, and 17 master’s and doctorate degree students collected through purposive sampling. One university from the two available universities that offer all educational levels of IE in the Philippines was considered. The results showed that undergraduate students considered the final requirements with multiple-choice as the highest preference, followed by non-modular term style, and no seatwork and practice sets. In addition, fully online master’s degree students considered delivery type with the mix as the highest preference, followed by layout, and no seatwork and practice sets. Finally, master’s and doctorate degree students considered final requirements with publication as the highest preference, followed by no seatwork and practice sets, and mix delivery type. The students are technologically inclined, want to learn at their own pace, know where and how to get additional online learning materials, but still need the guidance of teachers/professors. The results would help contribute to the theoretical foundation for further students’ preference segmentation, specifically on online learning during the COVID-19 pandemic worldwide. Moreover, the design created could be utilized for other courses in measuring students’ preference for online learning even after the COVID-19 pandemic.
Ardvin Ong; Yogi Prasetyo; Michael Young; John Diaz; Thanatorn Chuenyindee; Poonyawat Kusonwattana; Nattakit Yuduang; Reny Nadlifatin; Anak Redi. Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers. Sustainability 2021, 13, 8339 .
AMA StyleArdvin Ong, Yogi Prasetyo, Michael Young, John Diaz, Thanatorn Chuenyindee, Poonyawat Kusonwattana, Nattakit Yuduang, Reny Nadlifatin, Anak Redi. Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers. Sustainability. 2021; 13 (15):8339.
Chicago/Turabian StyleArdvin Ong; Yogi Prasetyo; Michael Young; John Diaz; Thanatorn Chuenyindee; Poonyawat Kusonwattana; Nattakit Yuduang; Reny Nadlifatin; Anak Redi. 2021. "Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers." Sustainability 13, no. 15: 8339.
The lack of studies on Filipinos preparedness in natural calamities such as earthquakes, specifically “The Big One”, posed the necessity for researchers to assess the preparedness and disaster mitigation. This study aimed to assess the driving factors that significantly influence the intention to prepare among Filipinos for mitigation of The Big One earthquake. With the integration of Protection Motivation Theory and Extended Theory of Planned Behavior, the study considered 727 valid responses to measure the intention to prepare. Eight latent were measured namely: (1) perceived vulnerability, (2) perceived severity, (3) subjective norm, (4) perceived behavioral control, (5) attitude, (6) media, (7) understanding of The Big One, and (8) intention to prepare. By utilizing Structural Equation Modelling, it is found out that Media, Attitude, Perceived Severity and Subjective Norm are all key factors affecting the intention of the people to prepare for the Big One. Moreover, it was also found out that the Understanding of the Big One has an indirect effect on the intention to prepare. The findings of the study can be utilized by the government to make Filipinos for conducting preparedness and mitigation practices. Finally, the model construct of the study could also be utilized to evaluate other types of natural disasters worldwide.
Ardvin Kester S. Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Keenan Mark Sigua; Jomy Anne Villas; Michael Nayat Young; John Francis T. Diaz; Satria Fadil Persada; Anak Agung Ngurah Perwira Redi. Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction 2021, 63, 102467 .
AMA StyleArdvin Kester S. Ong, Yogi Tri Prasetyo, Fae Coleen Lagura, Rochelle Nicole Ramos, Keenan Mark Sigua, Jomy Anne Villas, Michael Nayat Young, John Francis T. Diaz, Satria Fadil Persada, Anak Agung Ngurah Perwira Redi. Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction. 2021; 63 ():102467.
Chicago/Turabian StyleArdvin Kester S. Ong; Yogi Tri Prasetyo; Fae Coleen Lagura; Rochelle Nicole Ramos; Keenan Mark Sigua; Jomy Anne Villas; Michael Nayat Young; John Francis T. Diaz; Satria Fadil Persada; Anak Agung Ngurah Perwira Redi. 2021. "Factors affecting intention to prepare for mitigation of “the big one” earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior." International Journal of Disaster Risk Reduction 63, no. : 102467.
ELearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.
Yogi Prasetyo; Ralph Roque; Thanatorn Chuenyindee; Michael Young; John Diaz; Satria Persada; Bobby Miraja; Anak Perwira Redi. Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach. Healthcare 2021, 9, 780 .
AMA StyleYogi Prasetyo, Ralph Roque, Thanatorn Chuenyindee, Michael Young, John Diaz, Satria Persada, Bobby Miraja, Anak Perwira Redi. Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach. Healthcare. 2021; 9 (7):780.
Chicago/Turabian StyleYogi Prasetyo; Ralph Roque; Thanatorn Chuenyindee; Michael Young; John Diaz; Satria Persada; Bobby Miraja; Anak Perwira Redi. 2021. "Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach." Healthcare 9, no. 7: 780.
Milk tea is a famous drink that has been heavily consumed since 2011. This study aimed to determine the combination of milk tea attributes that were most preferred using a Conjoint Analysis Approach. Specifically, this study utilized different attributes such as the size of tapioca pearls, sugar level, price range, brands, type of milk tea, cream cheese inclusion, and the amount of ice. Conjoint analysis with the orthogonal design was utilized to evaluate the preference of milk tea among consumers. The results showed that pearl size was the attribute most considered by consumers (29.137%), followed by sugar level (17.373%), the amount of ice (17.190%), the type of drink (13.421%), price (11.207%), and the least considered were cream cheese inclusion (9.525%) and the brands (2.147%). The findings of this study will be beneficial to milk tea firms about consumer preferences regarding the various attributes of milk tea. Finally, the result of this study could be applicable to different beverage-focused studies worldwide.
Ardvin Ong; Yogi Prasetyo; Ma. Libiran; Yuanne Lontoc; Joyce Lunaria; Adelaine Manalo; Bobby Miraja; Michael Young; Thanatorn Chuenyindee; Satria Persada; Anak Perwira Redi. Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach. Foods 2021, 10, 1382 .
AMA StyleArdvin Ong, Yogi Prasetyo, Ma. Libiran, Yuanne Lontoc, Joyce Lunaria, Adelaine Manalo, Bobby Miraja, Michael Young, Thanatorn Chuenyindee, Satria Persada, Anak Perwira Redi. Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach. Foods. 2021; 10 (6):1382.
Chicago/Turabian StyleArdvin Ong; Yogi Prasetyo; Ma. Libiran; Yuanne Lontoc; Joyce Lunaria; Adelaine Manalo; Bobby Miraja; Michael Young; Thanatorn Chuenyindee; Satria Persada; Anak Perwira Redi. 2021. "Consumer Preference Analysis on Attributes of Milk Tea: A Conjoint Analysis Approach." Foods 10, no. 6: 1382.
The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.
Yogi Prasetyo; Allysa Castillo; Louie Salonga; John Sia; Thanatorn Chuenyindee; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach. Foods 2021, 10, 1205 .
AMA StyleYogi Prasetyo, Allysa Castillo, Louie Salonga, John Sia, Thanatorn Chuenyindee, Michael Young, Satria Persada, Bobby Miraja, Anak Redi. Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach. Foods. 2021; 10 (6):1205.
Chicago/Turabian StyleYogi Prasetyo; Allysa Castillo; Louie Salonga; John Sia; Thanatorn Chuenyindee; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. 2021. "Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach." Foods 10, no. 6: 1205.
Assessment of service quality has been widely utilized in after-sales service, especially in the automotive industry. The purpose of the study was to determine factors affecting customer satisfaction in an automotive after-sales service at Toyota Dasmarinas-Cavite Philippines by utilizing the SERVQUAL approach. Several SERVQUAL dimensions such as tangibles, reliability, responsiveness, assurance, and empathy were analyzed simultaneously to the customer satisfaction. Structural equation modeling (SEM) indicated that among the five SERVQUAL dimensions, reliability and empathy were found to have significant relationships to the satisfaction of customers at Toyota Dasmarinas-Cavite Philippines. Interestingly, tangibles, responsiveness, and assurance were found to have no significant relationships to satisfaction. The servicing dealer must deliver a high quality of service to meet customer expectations and achieve high customer satisfaction, which subsequently builds customer trust towards the company. With these, customer retention and loyalty can be attained by the company that can also increase the company’s profit and competitive advantage.
Justine Balinado; Yogi Prasetyo; Michael Young; Satria Persada; Bobby Miraja; Anak Perwira Redi. The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 116 .
AMA StyleJustine Balinado, Yogi Prasetyo, Michael Young, Satria Persada, Bobby Miraja, Anak Perwira Redi. The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (2):116.
Chicago/Turabian StyleJustine Balinado; Yogi Prasetyo; Michael Young; Satria Persada; Bobby Miraja; Anak Perwira Redi. 2021. "The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 2: 116.
Online food delivery service (OFDS) has been widely utilized during the new normal of the COVID-19 pandemic, especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of the COVID-19 pandemic in Indonesia by utilizing the extended theory of planned behavior (TPB) approach. A total of 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that hedonic motivation (HM) was found to have the highest effect on customer satisfaction, followed by price (P), information quality (IQ), and promotion (PRO). Interestingly, this study found out that usability factors, such as navigational design (ND) and perceived ease of use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.
Yogi Prasetyo; Hans Tanto; Martinus Mariyanto; Christopher Hanjaya; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 76 .
AMA StyleYogi Prasetyo, Hans Tanto, Martinus Mariyanto, Christopher Hanjaya, Michael Young, Satria Persada, Bobby Miraja, Anak Redi. Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (1):76.
Chicago/Turabian StyleYogi Prasetyo; Hans Tanto; Martinus Mariyanto; Christopher Hanjaya; Michael Young; Satria Persada; Bobby Miraja; Anak Redi. 2021. "Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 76.
This research provides a possible variant of the basic framework of portfolio selection. First, for the return estimation, considering Asian exchange-traded funds as the selection pool for the investment, regression analysis is applied to generate future return scenarios. Second, for the assignment of weights, the likelihood of these scenarios are assumed to be equally likely. Third, for the portfolio selection model, the safety-first model is utilized with consideration of 5 different diversification factors. The proposed procedure is modeled as a linear programming model into AIMMS optimization software where the resulting portfolios show that safety-first portfolios can outperform the benchmark. These observations can pave the way to a new generic portfolio selection framework that can possibly help investors and may lead to alternative investment instruments.
M N Young. A safety-first portfolio selection framework: Estimating returns of exchange traded funds through regression analysis. IOP Conference Series: Materials Science and Engineering 2021, 1072, 012046 .
AMA StyleM N Young. A safety-first portfolio selection framework: Estimating returns of exchange traded funds through regression analysis. IOP Conference Series: Materials Science and Engineering. 2021; 1072 (1):012046.
Chicago/Turabian StyleM N Young. 2021. "A safety-first portfolio selection framework: Estimating returns of exchange traded funds through regression analysis." IOP Conference Series: Materials Science and Engineering 1072, no. 1: 012046.
This study exploits the extra information provided by behavioral stocks (B-stocks) and proposes portfolio selection models that produce profitable portfolios which can outperform traditional investment benchmarks (market index, mutual funds, and exchange-traded funds). Using the embedded holding period (T-day) information of a B-stock, in order to maximize the expected effect (cumulative abnormal return CAR ≥ 1%), this study proposes a buy and hold strategy such that B-stocks are bought when their respective causes are spotted and held until their respective T-days are reached. In addition, in performing the back-tests the actual transaction costs are considered to represent more realistic investments. Short-selling is also considered to provide a more flexible investment such that some B-stocks are shorted when causes are spotted and wait until their respective T-days are reached to exploit the expected effect (CAR≤−1%). The resulting portfolios are then compared to traditional benchmarks. Overall, this study addresses three issues that were not addressed by previous works on B-stocks. These issues are: (1) having portfolios that are profitable even after all transactions costs are considered; (2) identifying short-sell B-stocks for consideration of short-selling in the portfolio selection; and (3) generating portfolios that outperform traditional investment benchmarks.
Kuo-Hwa Chang; Michael Nayat Young. Behavioral stock portfolio optimization considering holding periods of B-stocks with short-selling. Computers & Operations Research 2019, 112, 104773 .
AMA StyleKuo-Hwa Chang, Michael Nayat Young. Behavioral stock portfolio optimization considering holding periods of B-stocks with short-selling. Computers & Operations Research. 2019; 112 ():104773.
Chicago/Turabian StyleKuo-Hwa Chang; Michael Nayat Young. 2019. "Behavioral stock portfolio optimization considering holding periods of B-stocks with short-selling." Computers & Operations Research 112, no. : 104773.
Kuo-Hwa Chang; Michael Young; Wu Kang Lin. Portfolio Selection Problem Considering Behavioral Stocks under Holding Periods. International Journal of Modeling and Optimization 2016, 6, 219 -224.
AMA StyleKuo-Hwa Chang, Michael Young, Wu Kang Lin. Portfolio Selection Problem Considering Behavioral Stocks under Holding Periods. International Journal of Modeling and Optimization. 2016; 6 (4):219-224.
Chicago/Turabian StyleKuo-Hwa Chang; Michael Young; Wu Kang Lin. 2016. "Portfolio Selection Problem Considering Behavioral Stocks under Holding Periods." International Journal of Modeling and Optimization 6, no. 4: 219-224.