Pub Date : 2019-07-01DOI: 10.1504/IJAMS.2019.10022352
Khaled N. Alqahtani, N. I. Shaikh
This paper presents a two-stage stochastic programming model for retail assortment optimisation. Decisions related to what products to stock and in what quantity are taken in the first stage while decisions related to what products to use to satisfy the primary versus the secondary demand are taken in the second stage. Such a model is very useful for online retailers and catalogue merchants who witness a gap between an order arrival and fulfilment. A case study illustrating the modelling approach and its benefits as compared to other existing assortment optimisation techniques is also presented.
{"title":"A two-stage stochastic programming model for assortment optimisation","authors":"Khaled N. Alqahtani, N. I. Shaikh","doi":"10.1504/IJAMS.2019.10022352","DOIUrl":"https://doi.org/10.1504/IJAMS.2019.10022352","url":null,"abstract":"This paper presents a two-stage stochastic programming model for retail assortment optimisation. Decisions related to what products to stock and in what quantity are taken in the first stage while decisions related to what products to use to satisfy the primary versus the secondary demand are taken in the second stage. Such a model is very useful for online retailers and catalogue merchants who witness a gap between an order arrival and fulfilment. A case study illustrating the modelling approach and its benefits as compared to other existing assortment optimisation techniques is also presented.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46741804","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 : 2019-02-06DOI: 10.1504/IJAMS.2019.10018988
Sayed Ehsan Hoseinipor, H. Dolatabadi, A. Kazemi
Marketing experts are interested in travel intention since it enables them to analyse tourists' consumer behaviour. In order to understand the behaviour of religious tourists, this study concentrates on the effect of decision-making styles on travel intention of tourists travelling to Qom (a religious city in Iran). Data were collected through a field survey among 350 people who visited Qom City and data was analysed using partial least square (PLS) modelling. The results show that brand-conscious consumer style, recreational and hedonistic consumer style and confused-by-overchoice consumer style are the main controllers of religious tourists' travel intention. Also, perfectionist conscious consumer style, novelty and fashion-conscious consumer style, price-conscious consumer style, habitual and brand-loyal consumer style, impulsive and careless consumer styles did not affect travel intention of religious tourists. This is the first study that investigates decision-making styles of religious tourists.
{"title":"Effect of decision-making style on travel intention of religious tourism (Qom as religious tourism destination in Iran)","authors":"Sayed Ehsan Hoseinipor, H. Dolatabadi, A. Kazemi","doi":"10.1504/IJAMS.2019.10018988","DOIUrl":"https://doi.org/10.1504/IJAMS.2019.10018988","url":null,"abstract":"Marketing experts are interested in travel intention since it enables them to analyse tourists' consumer behaviour. In order to understand the behaviour of religious tourists, this study concentrates on the effect of decision-making styles on travel intention of tourists travelling to Qom (a religious city in Iran). Data were collected through a field survey among 350 people who visited Qom City and data was analysed using partial least square (PLS) modelling. The results show that brand-conscious consumer style, recreational and hedonistic consumer style and confused-by-overchoice consumer style are the main controllers of religious tourists' travel intention. Also, perfectionist conscious consumer style, novelty and fashion-conscious consumer style, price-conscious consumer style, habitual and brand-loyal consumer style, impulsive and careless consumer styles did not affect travel intention of religious tourists. This is the first study that investigates decision-making styles of religious tourists.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47199684","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 : 2019-02-06DOI: 10.1504/IJAMS.2019.10018985
M. Machado
This study has three specific objectives, formulated based on the expectation confirmation paradigm: to analyse the hotel features, the performance evaluation tools used, and the price practiced by the hotels all as determinants of customer satisfaction. Data collection began with the conduction of a survey to the financial managers of 4 and 5-star hotels, located in Portugal, in order to collect information on the performance evaluation tools used and on certain hotel features. We obtained 241 fully completed inquiries. To meet the objectives proposed, two additional types of data were also collected: the degree of customer satisfaction, for the hotels responding to the initial survey (for this we used two different online platforms); the price charged by the responding hotels, using the online platform Booking.com. The results obtained lead us to the following main contributions: the validation of the expectation confirmation paradigm, namely by demonstrating that hotel features can be considered as factors affecting customer expectations, and that the performance evaluation tools can be considered as factors affecting the actual experience; the demonstration that there is an association between the price charged by the hotels and their customers' satisfaction, but in a way contrary to the theoretical assumptions of the expectation confirmation paradigm.
{"title":"Determinants of customer satisfaction: empirical study in hotels","authors":"M. Machado","doi":"10.1504/IJAMS.2019.10018985","DOIUrl":"https://doi.org/10.1504/IJAMS.2019.10018985","url":null,"abstract":"This study has three specific objectives, formulated based on the expectation confirmation paradigm: to analyse the hotel features, the performance evaluation tools used, and the price practiced by the hotels all as determinants of customer satisfaction. Data collection began with the conduction of a survey to the financial managers of 4 and 5-star hotels, located in Portugal, in order to collect information on the performance evaluation tools used and on certain hotel features. We obtained 241 fully completed inquiries. To meet the objectives proposed, two additional types of data were also collected: the degree of customer satisfaction, for the hotels responding to the initial survey (for this we used two different online platforms); the price charged by the responding hotels, using the online platform Booking.com. The results obtained lead us to the following main contributions: the validation of the expectation confirmation paradigm, namely by demonstrating that hotel features can be considered as factors affecting customer expectations, and that the performance evaluation tools can be considered as factors affecting the actual experience; the demonstration that there is an association between the price charged by the hotels and their customers' satisfaction, but in a way contrary to the theoretical assumptions of the expectation confirmation paradigm.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42907596","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 : 2019-02-06DOI: 10.1504/IJAMS.2019.10018984
A. Rezaei
This study examines the relationships between perceived organisational support (POS), organisational citizenship behaviour (OCB) and turnover intentions; and the mediating role of OCB on perceived organisational support and turnover intentions. The population under study was all experts from the National Iranian Drilling Company as an empirical case study. Finally, 140 questionnaires were analysed based on structural equation modelling using SMART PLS software. Results showed that there is a significant positive relationship between perceived organisational support and organisational citizenship behaviour. Also, there is a negative significant relationship between perceived organisational support and turnover intention. The meditating role of OCB is supported in relation to the perceived organisational support and turnover intention.
{"title":"The impact of perceived organisational support and organisational citizenship behaviour on turnover intention: an empirical investigation","authors":"A. Rezaei","doi":"10.1504/IJAMS.2019.10018984","DOIUrl":"https://doi.org/10.1504/IJAMS.2019.10018984","url":null,"abstract":"This study examines the relationships between perceived organisational support (POS), organisational citizenship behaviour (OCB) and turnover intentions; and the mediating role of OCB on perceived organisational support and turnover intentions. The population under study was all experts from the National Iranian Drilling Company as an empirical case study. Finally, 140 questionnaires were analysed based on structural equation modelling using SMART PLS software. Results showed that there is a significant positive relationship between perceived organisational support and organisational citizenship behaviour. Also, there is a negative significant relationship between perceived organisational support and turnover intention. The meditating role of OCB is supported in relation to the perceived organisational support and turnover intention.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46605103","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 : 2019-02-06DOI: 10.1504/IJAMS.2019.10018995
M. Savsar, Aaya Aboelfotoh, Dalal Embaireeg
Most companies, which need to distribute their production daily, solely rely on human judgment in scheduling customer orders by assigning a delivery vehicle and selecting the routes for those vehicles. With increasing demand, this approach quickly becomes error prone. In this study, we present analysis of a distribution system and propose a systematic approach to improve distribution of tasks using geographic information system (GIS). Specifically, ArcMap's network analyst tool is used in order to minimise total transportation costs and ensure workload balance. We incorporate dynamic traffic conditions, time windows, vehicle capacity and driver working hours into our model to present more realistic results. We compare the total transportation costs due to manual assignments with the costs obtained using our approach, in addition to proving the tool's validity for problems of a larger scale. Analysis is applied to a specific food catering company in order to illustrate the procedure in detail.
{"title":"A GIS-based methodology for solving the capacitated vehicle routing problem with time windows: a real-life scenario","authors":"M. Savsar, Aaya Aboelfotoh, Dalal Embaireeg","doi":"10.1504/IJAMS.2019.10018995","DOIUrl":"https://doi.org/10.1504/IJAMS.2019.10018995","url":null,"abstract":"Most companies, which need to distribute their production daily, solely rely on human judgment in scheduling customer orders by assigning a delivery vehicle and selecting the routes for those vehicles. With increasing demand, this approach quickly becomes error prone. In this study, we present analysis of a distribution system and propose a systematic approach to improve distribution of tasks using geographic information system (GIS). Specifically, ArcMap's network analyst tool is used in order to minimise total transportation costs and ensure workload balance. We incorporate dynamic traffic conditions, time windows, vehicle capacity and driver working hours into our model to present more realistic results. We compare the total transportation costs due to manual assignments with the costs obtained using our approach, in addition to proving the tool's validity for problems of a larger scale. Analysis is applied to a specific food catering company in order to illustrate the procedure in detail.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43219441","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 : 2019-02-06DOI: 10.1504/IJAMS.2019.10018987
C. K. Sivashankari
Jamal et al. (2004) proposed a model, which dealt with the optimum batch quantity in a single-stage system in which rework is done by addressing two different operational policies to minimise the total system cost but their models do not considered sales return by customers. A portion of defective items produced are not successfully screened out internally during the production process and passed on to customers, thereby causing defect sales returns and reverse logistic from customers back to the manufacturer. In this direction, this paper develops an economic production quantity inventory model with sales return by customers for determining the economic production quantity for a single product, which is manufactured in a single-stage manufacturing system that generates imperfect quality products and all these defective products are reworked in the same cycle. Mathematical model is developed and the optimal production lot size which minimises the total cost is derived.
{"title":"Imperfect production system with rework of regular production with sales returns by customers and buffer stock","authors":"C. K. Sivashankari","doi":"10.1504/IJAMS.2019.10018987","DOIUrl":"https://doi.org/10.1504/IJAMS.2019.10018987","url":null,"abstract":"Jamal et al. (2004) proposed a model, which dealt with the optimum batch quantity in a single-stage system in which rework is done by addressing two different operational policies to minimise the total system cost but their models do not considered sales return by customers. A portion of defective items produced are not successfully screened out internally during the production process and passed on to customers, thereby causing defect sales returns and reverse logistic from customers back to the manufacturer. In this direction, this paper develops an economic production quantity inventory model with sales return by customers for determining the economic production quantity for a single product, which is manufactured in a single-stage manufacturing system that generates imperfect quality products and all these defective products are reworked in the same cycle. Mathematical model is developed and the optimal production lot size which minimises the total cost is derived.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46204694","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 : 2018-10-04DOI: 10.1504/IJAMS.2018.10015877
A. Talantsev, Aron Larsson, D. Sundgren
The long-term success or failure of a development project is largely shaped by the external context. Therefore, assessment of factors influencing fulfilment of long-term development outcomes is vital for better project planning. In recent decades, the logical framework (logframe) has de facto become a standard tool for planning and managing development interventions. While the logframe requires identification of assumptions and risks regarding the external context, it does not suggest ways to analyse them in a conventional risk assessment manner. Also, the log-frame has been criticised for ignoring uncertainty in project environment along with neglecting external opportunities. Therefore, in this paper we suggest a method for project context analysis that extends the log-frame with scenarios analysis and address aforementioned shortcomings. We implement and demonstrate the application of the method on an international aid development project, discuss the method's potential use-cases, specific limitations and future development.
{"title":"A new method for context factors analysis in international development project planning","authors":"A. Talantsev, Aron Larsson, D. Sundgren","doi":"10.1504/IJAMS.2018.10015877","DOIUrl":"https://doi.org/10.1504/IJAMS.2018.10015877","url":null,"abstract":"The long-term success or failure of a development project is largely shaped by the external context. Therefore, assessment of factors influencing fulfilment of long-term development outcomes is vital for better project planning. In recent decades, the logical framework (logframe) has de facto become a standard tool for planning and managing development interventions. While the logframe requires identification of assumptions and risks regarding the external context, it does not suggest ways to analyse them in a conventional risk assessment manner. Also, the log-frame has been criticised for ignoring uncertainty in project environment along with neglecting external opportunities. Therefore, in this paper we suggest a method for project context analysis that extends the log-frame with scenarios analysis and address aforementioned shortcomings. We implement and demonstrate the application of the method on an international aid development project, discuss the method's potential use-cases, specific limitations and future development.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":"10 1","pages":"290-318"},"PeriodicalIF":0.7,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41637015","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 : 2018-10-04DOI: 10.1504/IJAMS.2018.10010622
J. Oláh, S. Nestler, Thomas Nobel, Mónika Harangi-Rákos, J. Popp
Many German dry ports have already been successfully established and positioned in the past; however, several questions may arise. Can they keep pace with latest standards? Can they maintain their strong capabilities or are there locations in Europe, of whose achievements German dry ports can still 'learn'? What impulses come in turn from the German dry ports? The aim of this study was to illustrate the international logistics landscape and furthermore to give recommendations for the successful development of macro logistics concepts in Europe. The European ranking of 2015 is based in terms of its methodology on the scientific assessments of the authors. Therefore, it is evident that the results for example with use of a different weighting of the 40 evaluation criteria can certainly lead to different ranking results. In comparison to the first European Ranking 2010, there is no change among the TOP 3 in the ranking 2015.
{"title":"Development of dry ports in Europe","authors":"J. Oláh, S. Nestler, Thomas Nobel, Mónika Harangi-Rákos, J. Popp","doi":"10.1504/IJAMS.2018.10010622","DOIUrl":"https://doi.org/10.1504/IJAMS.2018.10010622","url":null,"abstract":"Many German dry ports have already been successfully established and positioned in the past; however, several questions may arise. Can they keep pace with latest standards? Can they maintain their strong capabilities or are there locations in Europe, of whose achievements German dry ports can still 'learn'? What impulses come in turn from the German dry ports? The aim of this study was to illustrate the international logistics landscape and furthermore to give recommendations for the successful development of macro logistics concepts in Europe. The European ranking of 2015 is based in terms of its methodology on the scientific assessments of the authors. Therefore, it is evident that the results for example with use of a different weighting of the 40 evaluation criteria can certainly lead to different ranking results. In comparison to the first European Ranking 2010, there is no change among the TOP 3 in the ranking 2015.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":"10 1","pages":"269-289"},"PeriodicalIF":0.7,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42458998","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 : 2018-10-04DOI: 10.1504/IJAMS.2018.10015874
Mohammad Vardi, A. Ghorbanian
Revenue management (RM) is a subfield of operations research with the aim to maximise the revenues acquired by selling perishable products/services. Due to the substantial growth in air cargo industry over the past few years, sophisticated techniques are needed to maximise revenue. In this paper, airline cargo capacity allocation problem in two cases, including cancellation possibility and impossibility have been investigated. Two capacity dimensions of the problem, volume and weight, is complicated the decision making about request acceptance policy. For the formulation of two problems, dynamic programming technique has been used. Since dynamic programming suffers from much memory consumption for large size problems, three heuristics including deterministic integer linear programming (DILP), bid price (BP) and dynamic programming decomposition (DPD) has been proposed for problems solving. Results of simulation showed that BP and DILP have the better performance comparing to other approaches. In addition, comparison of two problem's optimum values indicated that considering cancellation increase total revenue more than 10%.
{"title":"Air cargo simultaneous weight and volume capacity planning with revenue management approach","authors":"Mohammad Vardi, A. Ghorbanian","doi":"10.1504/IJAMS.2018.10015874","DOIUrl":"https://doi.org/10.1504/IJAMS.2018.10015874","url":null,"abstract":"Revenue management (RM) is a subfield of operations research with the aim to maximise the revenues acquired by selling perishable products/services. Due to the substantial growth in air cargo industry over the past few years, sophisticated techniques are needed to maximise revenue. In this paper, airline cargo capacity allocation problem in two cases, including cancellation possibility and impossibility have been investigated. Two capacity dimensions of the problem, volume and weight, is complicated the decision making about request acceptance policy. For the formulation of two problems, dynamic programming technique has been used. Since dynamic programming suffers from much memory consumption for large size problems, three heuristics including deterministic integer linear programming (DILP), bid price (BP) and dynamic programming decomposition (DPD) has been proposed for problems solving. Results of simulation showed that BP and DILP have the better performance comparing to other approaches. In addition, comparison of two problem's optimum values indicated that considering cancellation increase total revenue more than 10%.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":"10 1","pages":"319-337"},"PeriodicalIF":0.7,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42393212","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 : 2018-10-04DOI: 10.1504/IJAMS.2018.10015875
Mongkol Kittiyankajon, D. Chetchotsak
Strategy prioritisation with multiple criteria decision analysis is well accepted. When group decision making is concerned however, the process to aggregate each of the experts' decisions into the group decision is complicated and challenging. The traditional geometric mean method is very common for group decision but it might ignore variations among the experts' decisions. This paper proposed an aggregation algorithm for group decision to be used for strategy prioritisation which considered the following features: 1) agreement among the individuals' decisions; 2) influence of persons who had greater preferential difference; 3) the ranks of alternatives by each expert; 4) the group decision be closest to the best alternative but farthest from the worst one. Simulated situations, sensitivity analysis, and a case study for the sugar industry in Thailand were provided as numerical examples along with discussions of results. The proposed method can be applied for strategy prioritisation as well as other kinds of ranking problems.
{"title":"Group decision making for strategy prioritisation using hybrid aggregation: a case study of sugar industry in Thailand","authors":"Mongkol Kittiyankajon, D. Chetchotsak","doi":"10.1504/IJAMS.2018.10015875","DOIUrl":"https://doi.org/10.1504/IJAMS.2018.10015875","url":null,"abstract":"Strategy prioritisation with multiple criteria decision analysis is well accepted. When group decision making is concerned however, the process to aggregate each of the experts' decisions into the group decision is complicated and challenging. The traditional geometric mean method is very common for group decision but it might ignore variations among the experts' decisions. This paper proposed an aggregation algorithm for group decision to be used for strategy prioritisation which considered the following features: 1) agreement among the individuals' decisions; 2) influence of persons who had greater preferential difference; 3) the ranks of alternatives by each expert; 4) the group decision be closest to the best alternative but farthest from the worst one. Simulated situations, sensitivity analysis, and a case study for the sugar industry in Thailand were provided as numerical examples along with discussions of results. The proposed method can be applied for strategy prioritisation as well as other kinds of ranking problems.","PeriodicalId":38716,"journal":{"name":"International Journal of Applied Management Science","volume":"10 1","pages":"338-361"},"PeriodicalIF":0.7,"publicationDate":"2018-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49259802","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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