Pub Date : 2020-04-30DOI: 10.1504/ijids.2020.10029120
A. Amran, A. I. Zainoddin, Mohd Rizaimy Shaharudin
This study aims to determine the influence of social capital on the effectiveness of the farmer's development programme established by a MNC in Malaysia for business-community relations as part of the company's CSR endeavours. The sampling technique employed in this study was census sampling with all of the 400 respondents being included in the study. The results unveiled that the relational and cognitive dimensions were positively and significantly related to the effectiveness of the community development programme. Nevertheless, the structural dimension failed to follow similar inclinations. The finding has contributed to the social capital theory by supporting the relational and cognitive dimensions as the factors that influence the success of the community development programmes. Future study is suggested to measure the effectiveness of community development programmes using financial or non-financial aspects, utilise the stakeholder theory perspectives, as well as validate the inconsistencies in the outcomes of the past studies.
{"title":"The effect of social capital on the effectiveness of community development programmes in Malaysia","authors":"A. Amran, A. I. Zainoddin, Mohd Rizaimy Shaharudin","doi":"10.1504/ijids.2020.10029120","DOIUrl":"https://doi.org/10.1504/ijids.2020.10029120","url":null,"abstract":"This study aims to determine the influence of social capital on the effectiveness of the farmer's development programme established by a MNC in Malaysia for business-community relations as part of the company's CSR endeavours. The sampling technique employed in this study was census sampling with all of the 400 respondents being included in the study. The results unveiled that the relational and cognitive dimensions were positively and significantly related to the effectiveness of the community development programme. Nevertheless, the structural dimension failed to follow similar inclinations. The finding has contributed to the social capital theory by supporting the relational and cognitive dimensions as the factors that influence the success of the community development programmes. Future study is suggested to measure the effectiveness of community development programmes using financial or non-financial aspects, utilise the stakeholder theory perspectives, as well as validate the inconsistencies in the outcomes of the past studies.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124109538","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 : 2020-04-06DOI: 10.1504/ijids.2020.10028229
B. Ojokoh, I. Amaunam
This paper proposes a switching feature-based model that leverages the needs of both new and existing users for recommendation of tourist locations. In an attempt to solve the cold-start problem, recommendations to new users are implemented with Bayesian algorithm on supplied demographic data. For existing users, the system switches to the collaborative filtering subsystem, where recommendation results are produced using Pearson correlation computation and offered based on the items in the database. The model was validated with discounted cumulative gain, precision, and recall. A comparative analysis with some existing systems showed lower mean absolute error. Experimental results obtained from the survey of different categories of users showed the effectiveness of the proposed techniques.
{"title":"A switching hybrid mobile recommender system for tourists","authors":"B. Ojokoh, I. Amaunam","doi":"10.1504/ijids.2020.10028229","DOIUrl":"https://doi.org/10.1504/ijids.2020.10028229","url":null,"abstract":"This paper proposes a switching feature-based model that leverages the needs of both new and existing users for recommendation of tourist locations. In an attempt to solve the cold-start problem, recommendations to new users are implemented with Bayesian algorithm on supplied demographic data. For existing users, the system switches to the collaborative filtering subsystem, where recommendation results are produced using Pearson correlation computation and offered based on the items in the database. The model was validated with discounted cumulative gain, precision, and recall. A comparative analysis with some existing systems showed lower mean absolute error. Experimental results obtained from the survey of different categories of users showed the effectiveness of the proposed techniques.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128336313","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 : 2020-04-06DOI: 10.1504/ijids.2020.10028232
S. Swain
After India's green revolution, the use of seed bio-technologies in agriculture, in which the ownership of seeds lies with organised private parties, have been in question. But prior to that, Indian farmers were going by using their harvested corps as seeds in future. As time passed, farmers in front-line got acclimatised to the seed bio-technology. Small and marginal farmers had also to follow the foot-print of the front-line farmers for two reasons: 1) seeing the prosperity of the latter, the former got motivated to follow suit; 2) good harvest with HYVs seeds by front-line farmers, leading to reduced average cost, drove the traditional seed users away from the market on pricing ground. It is pertinent to unfold whether this paradigm shift has affected the well-being of the small farmers in rural Odisha. Thus, this paper highlights the impact of ownership of seeds on small farmers' well-being.
{"title":"Impact of farmers' ownership of seeds on well-being of farmers: study of a village in Odisha","authors":"S. Swain","doi":"10.1504/ijids.2020.10028232","DOIUrl":"https://doi.org/10.1504/ijids.2020.10028232","url":null,"abstract":"After India's green revolution, the use of seed bio-technologies in agriculture, in which the ownership of seeds lies with organised private parties, have been in question. But prior to that, Indian farmers were going by using their harvested corps as seeds in future. As time passed, farmers in front-line got acclimatised to the seed bio-technology. Small and marginal farmers had also to follow the foot-print of the front-line farmers for two reasons: 1) seeing the prosperity of the latter, the former got motivated to follow suit; 2) good harvest with HYVs seeds by front-line farmers, leading to reduced average cost, drove the traditional seed users away from the market on pricing ground. It is pertinent to unfold whether this paradigm shift has affected the well-being of the small farmers in rural Odisha. Thus, this paper highlights the impact of ownership of seeds on small farmers' well-being.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122843400","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 : 2020-04-04DOI: 10.1504/ijids.2020.10028220
Shiksha Singh, R. Tiwari
Smartness in the existing environment is required for overall growth of any country. Government is putting tremendous effort and a huge sum of money for making cities smart to achieve smartness. A very first asset that needs to be made smart is smart parking system to avoid the traffic congestion. There are many service providers which are offering smart parking services, but there is no quality of service (QoS) framework available so far. So, for a customer point of view, it is very hard to select the best service provider and gain maximum satisfaction. So, in this paper, we have designed a QoS framework which consists of 33 metrics to evaluate a smart parking service. These parameters are identified from the user as well as vendors' perspective and help to select better service provider. We have also proposed multi criteria decision making (MCDM) approach technique for order preferences by similarity to ideal solution (TOPSIS) to select best smart parking service provider based on identified QoS. We have demonstrated our approach with the help of case studies.
{"title":"Quality of service-based service selection in smart parking","authors":"Shiksha Singh, R. Tiwari","doi":"10.1504/ijids.2020.10028220","DOIUrl":"https://doi.org/10.1504/ijids.2020.10028220","url":null,"abstract":"Smartness in the existing environment is required for overall growth of any country. Government is putting tremendous effort and a huge sum of money for making cities smart to achieve smartness. A very first asset that needs to be made smart is smart parking system to avoid the traffic congestion. There are many service providers which are offering smart parking services, but there is no quality of service (QoS) framework available so far. So, for a customer point of view, it is very hard to select the best service provider and gain maximum satisfaction. So, in this paper, we have designed a QoS framework which consists of 33 metrics to evaluate a smart parking service. These parameters are identified from the user as well as vendors' perspective and help to select better service provider. We have also proposed multi criteria decision making (MCDM) approach technique for order preferences by similarity to ideal solution (TOPSIS) to select best smart parking service provider based on identified QoS. We have demonstrated our approach with the help of case studies.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123221557","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 : 2020-04-04DOI: 10.1504/ijids.2020.10028225
S. Mouatassim, A. Sabry, Mustapha Ahlaqqach, J. Benhra
The present work focuses on the demand decision making problem for regional distribution centres sharing the same product families. Each centre orders quantities to be distributed from production units. Our approach suggests a biform game to maximise the benefits of each centre and minimise the end of cycle market induced supply to demand deviations. We start by an independent demand forecasting under uncertainty. Once the demand is met, the centres enter a collaboration phase where coalitions are created and products are exchanged, in order to achieve the core stability of the actual game. If not met, we try to achieve the same objectives using individual rationality through an adapted approach based on Shapley value analysis for each possible coalition.
{"title":"A new framework using biform game for cost optimisation of distribution networks","authors":"S. Mouatassim, A. Sabry, Mustapha Ahlaqqach, J. Benhra","doi":"10.1504/ijids.2020.10028225","DOIUrl":"https://doi.org/10.1504/ijids.2020.10028225","url":null,"abstract":"The present work focuses on the demand decision making problem for regional distribution centres sharing the same product families. Each centre orders quantities to be distributed from production units. Our approach suggests a biform game to maximise the benefits of each centre and minimise the end of cycle market induced supply to demand deviations. We start by an independent demand forecasting under uncertainty. Once the demand is met, the centres enter a collaboration phase where coalitions are created and products are exchanged, in order to achieve the core stability of the actual game. If not met, we try to achieve the same objectives using individual rationality through an adapted approach based on Shapley value analysis for each possible coalition.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134574597","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 : 2020-04-04DOI: 10.1504/ijids.2020.10028226
M. Faeid, N. Abidin, S. Applanaidu
One of the important factors that contribute to the stagnant growth of Malaysia's crude palm oil production is the accumulation of ageing oil palm plantation area. Given the scarcity of new plantation area in Malaysia, it is very important that an optimal replanting rate has to be determined to decrease the accumulation of ageing area. The objective of this study is to determine an optimal replanting rate for oil palm industry in Malaysia. This study compared the trend results of fresh fruit bunches (FFB) yield using base run system dynamics (SD) and SD with optimisation analysis. Findings indicate that the proposed optimal replanting rate based on SD revealed the maximum production of the FFB yield by year 2050 compared to base run analysis. Findings from this study proposed the appropriate planting strategy to ensure the continuous supply of palm oil without significant disruption if high replanting rate has been implemented.
{"title":"Determining optimal replanting rate in palm oil industry, Malaysia: a system dynamics approach optimal policy search in oil palm plantation feedback loops using system dynamics optimisation","authors":"M. Faeid, N. Abidin, S. Applanaidu","doi":"10.1504/ijids.2020.10028226","DOIUrl":"https://doi.org/10.1504/ijids.2020.10028226","url":null,"abstract":"One of the important factors that contribute to the stagnant growth of Malaysia's crude palm oil production is the accumulation of ageing oil palm plantation area. Given the scarcity of new plantation area in Malaysia, it is very important that an optimal replanting rate has to be determined to decrease the accumulation of ageing area. The objective of this study is to determine an optimal replanting rate for oil palm industry in Malaysia. This study compared the trend results of fresh fruit bunches (FFB) yield using base run system dynamics (SD) and SD with optimisation analysis. Findings indicate that the proposed optimal replanting rate based on SD revealed the maximum production of the FFB yield by year 2050 compared to base run analysis. Findings from this study proposed the appropriate planting strategy to ensure the continuous supply of palm oil without significant disruption if high replanting rate has been implemented.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121013358","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 : 2020-02-07DOI: 10.1504/ijids.2020.10026757
Yunning Liu, Shiow-yang Wu
The analytic hierarchy process (AHP) is widely used in many multi-criteria decision-making problems and has been successfully applied to many practical cases. However, the AHP is time-consuming and the decision model is not agile enough for fast changing environment. To overcome this weakness, we develop a rule-based approach for dynamic AHP decision-making in changing environment. We analyse critical factors in the AHP decision process under uncertainty and propose to encode expert knowledge for change handling using event-condition-action rules. We propose a theorem and associated method to determine the change in ordering of decision alternatives based on event-condition-action rule-induced weight updates. We demonstrate the effectiveness of our approach using a case study of the supplier selection decision-making task of the steel and iron industry in Taiwan. The study shows that our mechanism can effectively reach the same level of decision quality as expert decision maker(s).
{"title":"A rule-based approach for dynamic analytic hierarchy process decision-making","authors":"Yunning Liu, Shiow-yang Wu","doi":"10.1504/ijids.2020.10026757","DOIUrl":"https://doi.org/10.1504/ijids.2020.10026757","url":null,"abstract":"The analytic hierarchy process (AHP) is widely used in many multi-criteria decision-making problems and has been successfully applied to many practical cases. However, the AHP is time-consuming and the decision model is not agile enough for fast changing environment. To overcome this weakness, we develop a rule-based approach for dynamic AHP decision-making in changing environment. We analyse critical factors in the AHP decision process under uncertainty and propose to encode expert knowledge for change handling using event-condition-action rules. We propose a theorem and associated method to determine the change in ordering of decision alternatives based on event-condition-action rule-induced weight updates. We demonstrate the effectiveness of our approach using a case study of the supplier selection decision-making task of the steel and iron industry in Taiwan. The study shows that our mechanism can effectively reach the same level of decision quality as expert decision maker(s).","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124343955","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 : 2020-02-07DOI: 10.1504/ijids.2020.10026745
B. S. Rintyarna, R. Sarno, C. Fatichah
Commonly, product review analysis includes extracting sentiment from product documents. The contextual aspect contained in a review document has potential to improve results obtained by the sentiment analysis task. In this regard, this paper proposes an approach that takes into account both local and global context. The main contribution of this work is threefold. Firstly, local context is defined and the graph-based word sense disambiguation (WSD) method is extended to assign the correct sense of a word in the context of a sentence. Secondly, global context is defined for addressing contextual issues related to the specific domain of a review document by using an improved SentiCircle-based method. Thirdly, a weighted mean-based strategy to determine sentiment value at document level is presented. Several experiments were conducted to assess the proposed method. Overall, the proposed method outperformed the baseline method in the metrics of precision, recall, F-measure and accuracy.
{"title":"Enhancing the performance of sentiment analysis task on product reviews by handling both local and global context","authors":"B. S. Rintyarna, R. Sarno, C. Fatichah","doi":"10.1504/ijids.2020.10026745","DOIUrl":"https://doi.org/10.1504/ijids.2020.10026745","url":null,"abstract":"Commonly, product review analysis includes extracting sentiment from product documents. The contextual aspect contained in a review document has potential to improve results obtained by the sentiment analysis task. In this regard, this paper proposes an approach that takes into account both local and global context. The main contribution of this work is threefold. Firstly, local context is defined and the graph-based word sense disambiguation (WSD) method is extended to assign the correct sense of a word in the context of a sentence. Secondly, global context is defined for addressing contextual issues related to the specific domain of a review document by using an improved SentiCircle-based method. Thirdly, a weighted mean-based strategy to determine sentiment value at document level is presented. Several experiments were conducted to assess the proposed method. Overall, the proposed method outperformed the baseline method in the metrics of precision, recall, F-measure and accuracy.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219968","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 : 2020-02-07DOI: 10.1504/ijids.2020.10026774
Aynalem Shita, Nand Kumar, Seema Singh
This study analyses the impact of agricultural technology adoption on income inequality. Primary data has been collected from 400 sample households in Awi zone of Ethiopia through household survey during agricultural season of 2017/18. The collected data were analysed by using propensity score matching method. The estimated results revealed that adoption of agricultural technologies such as chemical fertiliser and improved seeds significantly increase total household income but worsen income distribution. After adoption of agricultural technologies, income inequality measured by Gini coefficient increased ranged from 0.047 to 0.087. Hence, the government and other concerned authorities should exert more efforts in order to enhance technology adoption status of the poor households by increasing their accessibility for extension and credit services.
{"title":"The impact of agricultural technology adoption on income inequality: a propensity score matching analysis for rural Ethiopia","authors":"Aynalem Shita, Nand Kumar, Seema Singh","doi":"10.1504/ijids.2020.10026774","DOIUrl":"https://doi.org/10.1504/ijids.2020.10026774","url":null,"abstract":"This study analyses the impact of agricultural technology adoption on income inequality. Primary data has been collected from 400 sample households in Awi zone of Ethiopia through household survey during agricultural season of 2017/18. The collected data were analysed by using propensity score matching method. The estimated results revealed that adoption of agricultural technologies such as chemical fertiliser and improved seeds significantly increase total household income but worsen income distribution. After adoption of agricultural technologies, income inequality measured by Gini coefficient increased ranged from 0.047 to 0.087. Hence, the government and other concerned authorities should exert more efforts in order to enhance technology adoption status of the poor households by increasing their accessibility for extension and credit services.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115632479","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}
Nowadays, the distributed computing plays an important role in the data mining process. To make systems scalable it is important to develop mechanisms that distribute the workload among several sites in a flexible way. Moreover, the acronym ERP refers to the systems and software packages used by organisations to manage day-by-day business activities. ERP systems are designed for the defined schema that usually has a common database. In this paper, we present a collaborative multi-agent based system for association rules mining from distributed databases. In our proposed approach, we combine the multi-agent system with association rules as a data mining technique to build a model that can execute the association rules mining in a parallel and distributed way from the centralised ERP database. The autonomous agents used to provide a generic and scalable platform. This will help business decision-makers to take the right decisions and provide a perfect response time using multi-agent system. The platform has been compared with the classic association rules algorithms and has proved to be more efficient and more scalable.
{"title":"A new approach agent-based for distributing association rules by business to improve decision process in ERP systems","authors":"Merouane Zoubeidi, O. Kazar, Saber Benharzallah, Nadjib Mesbahi, Abdelhak Merizig, Djamil Rezki","doi":"10.1504/ijids.2020.10026756","DOIUrl":"https://doi.org/10.1504/ijids.2020.10026756","url":null,"abstract":"Nowadays, the distributed computing plays an important role in the data mining process. To make systems scalable it is important to develop mechanisms that distribute the workload among several sites in a flexible way. Moreover, the acronym ERP refers to the systems and software packages used by organisations to manage day-by-day business activities. ERP systems are designed for the defined schema that usually has a common database. In this paper, we present a collaborative multi-agent based system for association rules mining from distributed databases. In our proposed approach, we combine the multi-agent system with association rules as a data mining technique to build a model that can execute the association rules mining in a parallel and distributed way from the centralised ERP database. The autonomous agents used to provide a generic and scalable platform. This will help business decision-makers to take the right decisions and provide a perfect response time using multi-agent system. The platform has been compared with the classic association rules algorithms and has proved to be more efficient and more scalable.","PeriodicalId":303039,"journal":{"name":"Int. J. Inf. Decis. Sci.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116761111","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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