We analyze how digital platforms can increase the survival rate of firms during a crisis by providing continuity in access to customers. Using order-level data from Uber Technologies, we study how the COVID-19 pandemic and the ensuing shutdown of businesses in the United States affected independent, small business restaurant supply and demand on the Uber Eats platform. We find evidence that small restaurants experience significant increases in total activity, orders per day, and orders per hour following the closure of the dine-in channel, and that these increases may be due to both demand-side and supply-side shocks. We document an increase in the intensity of competitive effects following the shock, showing that growth in the number of providers on a platform induces both market expansion and heightened inter-provider competition. Our findings underscore the critical role that digital will play in creating business resilience in the post-COVID economy, and provide new managerial insight into how supply-side and demand-side factors shape business performance on a platform.
{"title":"COVID-19 and Digital Resilience: Evidence from Uber Eats","authors":"Manav Raj, A. Sundararajan, Calum You","doi":"10.2139/ssrn.3625638","DOIUrl":"https://doi.org/10.2139/ssrn.3625638","url":null,"abstract":"We analyze how digital platforms can increase the survival rate of firms during a crisis by providing continuity in access to customers. Using order-level data from Uber Technologies, we study how the COVID-19 pandemic and the ensuing shutdown of businesses in the United States affected independent, small business restaurant supply and demand on the Uber Eats platform. We find evidence that small restaurants experience significant increases in total activity, orders per day, and orders per hour following the closure of the dine-in channel, and that these increases may be due to both demand-side and supply-side shocks. We document an increase in the intensity of competitive effects following the shock, showing that growth in the number of providers on a platform induces both market expansion and heightened inter-provider competition. Our findings underscore the critical role that digital will play in creating business resilience in the post-COVID economy, and provide new managerial insight into how supply-side and demand-side factors shape business performance on a platform.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126488478","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}
Many two-sided matching platforms, such as those for lodging, labor, and ridesharing, use a review system to monitor service providers, where dissatisfied customers can complain about their service experience. Using comprehensive datasets from a large ridesharing platform, this paper explores whether service providers (drivers) systematically receive complaints for reasons that are not their fault. We find that surge pricing, a factor that is not the driver's fault, increases the likelihood of complaints by a factor of 1.12 to 1.33, on average. This effect is amplified for novice drivers and during rush hours. We use two additional approaches to provide causal support for the finding: a regression discontinuity exploiting a policy change that sets caps on surge pricing, and a matching estimator exploiting discontinuity in surge triggering. To extend the endpoint of our analysis to the economic impact, we estimate how the complaints affect a driver's daily income. We calculate that 25% of a driver's immediate income gain from surge fares is offset by the future income loss due to the increased complaint rate. These results suggest platforms should account for non-service-provider-responsible factors when monitoring and evaluating customer reviews to improve service experiences.
{"title":"Surge Pricing and Customer Complaints","authors":"Y. Wei, Linli Xu, Yi Zhu","doi":"10.2139/ssrn.3437470","DOIUrl":"https://doi.org/10.2139/ssrn.3437470","url":null,"abstract":"Many two-sided matching platforms, such as those for lodging, labor, and ridesharing, use a review system to monitor service providers, where dissatisfied customers can complain about their service experience. Using comprehensive datasets from a large ridesharing platform, this paper explores whether service providers (drivers) systematically receive complaints for reasons that are not their fault. We find that surge pricing, a factor that is not the driver's fault, increases the likelihood of complaints by a factor of 1.12 to 1.33, on average. This effect is amplified for novice drivers and during rush hours. We use two additional approaches to provide causal support for the finding: a regression discontinuity exploiting a policy change that sets caps on surge pricing, and a matching estimator exploiting discontinuity in surge triggering. To extend the endpoint of our analysis to the economic impact, we estimate how the complaints affect a driver's daily income. We calculate that 25% of a driver's immediate income gain from surge fares is offset by the future income loss due to the increased complaint rate. These results suggest platforms should account for non-service-provider-responsible factors when monitoring and evaluating customer reviews to improve service experiences.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127477373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper examined the packaging features effecting milk buying behavior. Four packaging features were selected that included nutritional information, price, country of origin, & quality standards, and their impact on milk consumption and purchase behavior is analyzed using Structural Equation Modeling. The study was carried out in urban areas of Karachi, among 318 respondents using Likert scale based questionnaire. The findings suggested that all four packaging features have a significant positive impact on consumers buying behavior. Consumers are attracted towards those products which provides enough and adequate amount of information on its products’ packaging. Nutritional information is among one of the important element that needs more focus and it will surely results in a positive way to the manufacturers of dairy products. Hence, producers and marketers of milk should focus on their product’s packaging features especially on the verbal element as a primary strategy in order to influences consumers buying behavior.
{"title":"Packaging Features Effecting on Milk Buying Behavior in Karachi","authors":"Osaf Ahmed Khan, D. Siddiqui","doi":"10.5430/IJBA.V10N2P129","DOIUrl":"https://doi.org/10.5430/IJBA.V10N2P129","url":null,"abstract":"This paper examined the packaging features effecting milk buying behavior. Four packaging features were selected that included nutritional information, price, country of origin, & quality standards, and their impact on milk consumption and purchase behavior is analyzed using Structural Equation Modeling. The study was carried out in urban areas of Karachi, among 318 respondents using Likert scale based questionnaire. The findings suggested that all four packaging features have a significant positive impact on consumers buying behavior. Consumers are attracted towards those products which provides enough and adequate amount of information on its products’ packaging. Nutritional information is among one of the important element that needs more focus and it will surely results in a positive way to the manufacturers of dairy products. Hence, producers and marketers of milk should focus on their product’s packaging features especially on the verbal element as a primary strategy in order to influences consumers buying behavior.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124374427","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}
In this era of technology weapons development as the business world is now Increasingly Unable to predict. Companies are looking for ways to not be abandoned by consumers. Therefore it is very important for companies to know what to do to Attract Consumers to buy. This study aims to identify and analyze, 1. Effect Against Celecrity Endorser Buy Consumer Interests, 2. Influence of Social Media To Buy Consumer Interests, 3. Ad Impact Of Interest Buy Consumer, Youtube Content, 4. Effect Against Buy Consumer Interests, 5. Effect of brand Awareness To Buy Consumer Interests, 6. Influence of Celebrity Endorser, Social Media, Advertising, Content and brand Awareness Against Youtube Buy Consumer Interests. The purpose of this study is to acquire knowledge and test theories about Celebrity Endorser, Social Media, Advertising, YouTube Content and Brand Awareness. This research was conducted in Indonesia precisely in Jakarta, Bogor, Depok, Tangerang, and Bekasi with total sample. Processing of data using SEM techniques and applications smartPLS 3.0. The results of this study show the influence. The most high buying interest is social media and the influence of the low buying interest is is a stylish celebrity endorser.
{"title":"Effect Celebrity Endorser, Social Media, Advertising, Content YouTube and Brand Awareness to Buy Consumer Interest","authors":"Evie Ramadhanti, Shafwatun Nada, Osly Usman","doi":"10.2139/ssrn.3314028","DOIUrl":"https://doi.org/10.2139/ssrn.3314028","url":null,"abstract":"In this era of technology weapons development as the business world is now Increasingly Unable to predict. Companies are looking for ways to not be abandoned by consumers. Therefore it is very important for companies to know what to do to Attract Consumers to buy. This study aims to identify and analyze, 1. Effect Against Celecrity Endorser Buy Consumer Interests, 2. Influence of Social Media To Buy Consumer Interests, 3. Ad Impact Of Interest Buy Consumer, Youtube Content, 4. Effect Against Buy Consumer Interests, 5. Effect of brand Awareness To Buy Consumer Interests, 6. Influence of Celebrity Endorser, Social Media, Advertising, Content and brand Awareness Against Youtube Buy Consumer Interests. The purpose of this study is to acquire knowledge and test theories about Celebrity Endorser, Social Media, Advertising, YouTube Content and Brand Awareness. This research was conducted in Indonesia precisely in Jakarta, Bogor, Depok, Tangerang, and Bekasi with total sample. Processing of data using SEM techniques and applications smartPLS 3.0. The results of this study show the influence. The most high buying interest is social media and the influence of the low buying interest is is a stylish celebrity endorser.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123066847","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}
The identification of the optimal design of products and packaging is challenged when attributes and their levels interact. Firms recognize this by testing prototypes prior to launch, where the effects of interactions are revealed in the head-to-head comparison of a small number of finalists. A difficulty in conducting analysis for design is dealing with the high dimensionality of the design space. We propose an experimental criteria for sequentially searching for the most preferred design concept, and incorporate a stochastic search variable selection method to selectively estimate relevant interactions among the attributes. A validation experiment confirms that our proposed method leads to improved design concepts in a high-dimensional space compared to alternative methods.
{"title":"Optimal Product Design by Sequential Experiments in High Dimensions","authors":"Mingyu Joo, Michael L. Thompson, Greg M. Allenby","doi":"10.2139/ssrn.2711333","DOIUrl":"https://doi.org/10.2139/ssrn.2711333","url":null,"abstract":"The identification of the optimal design of products and packaging is challenged when attributes and their levels interact. Firms recognize this by testing prototypes prior to launch, where the effects of interactions are revealed in the head-to-head comparison of a small number of finalists. A difficulty in conducting analysis for design is dealing with the high dimensionality of the design space. We propose an experimental criteria for sequentially searching for the most preferred design concept, and incorporate a stochastic search variable selection method to selectively estimate relevant interactions among the attributes. A validation experiment confirms that our proposed method leads to improved design concepts in a high-dimensional space compared to alternative methods.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128009386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-08-08DOI: 10.5585/REMARK.V15I4.3385
Yentl Lisanne Knossenburg, R. Nogueira, P. Chimenti
Why do some online video advertisements go viral while others remain unnoticed? What kind of video content keeps the viewer interested and motivated to share? Many companies have realized the need to innovate their marketing strategies and have embraced the newest ways of using technology, as the Internet, to their advantage as in the example of virality. Yet few marketers actually understand how, and academic literature on this topic is still in development. This study investigated which content characteristics distinguish successful from non-successful online viral video advertisements by analyzing 641 cases using Structural Equation Modeling. Results show that Engagement and Surprise are two main content characteristics that significantly increase the chance of online video advertisements to go viral.
{"title":"Contagious Content: Viral Video Ads Identification of Content Characteristics that Help Online Video Advertisements Go Viral","authors":"Yentl Lisanne Knossenburg, R. Nogueira, P. Chimenti","doi":"10.5585/REMARK.V15I4.3385","DOIUrl":"https://doi.org/10.5585/REMARK.V15I4.3385","url":null,"abstract":"Why do some online video advertisements go viral while others remain unnoticed? What kind of video content keeps the viewer interested and motivated to share? Many companies have realized the need to innovate their marketing strategies and have embraced the newest ways of using technology, as the Internet, to their advantage as in the example of virality. Yet few marketers actually understand how, and academic literature on this topic is still in development. This study investigated which content characteristics distinguish successful from non-successful online viral video advertisements by analyzing 641 cases using Structural Equation Modeling. Results show that Engagement and Surprise are two main content characteristics that significantly increase the chance of online video advertisements to go viral.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683815","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}
We show that a simple, nontiered loyalty program can substantially increase customer lifetime value and that most of this benefit comes from increasing customer retention.
{"title":"Can Non-Tiered Customer Loyalty Programs Be Profitable?","authors":"Zhenling Jiang, Yulia Nevskaya, R. Thomadsen","doi":"10.2139/ssrn.2759888","DOIUrl":"https://doi.org/10.2139/ssrn.2759888","url":null,"abstract":"We show that a simple, nontiered loyalty program can substantially increase customer lifetime value and that most of this benefit comes from increasing customer retention.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121762109","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 : 2015-12-25DOI: 10.5585/REMARK.V14I4.3079
K. Vel, Collins Agyapong Brobbey, Abdalrhman Salih, Hafsa Jaheer
Marketers have paid a huge price for their inability to decipher which trend has come to stay and which one is a fad. Such a challenge has jeopardized the survival of blue-chip brands, as marketers anticipated in vain the end of existing red ocean strategies. Essentially, the traditional marketing strategies associated with the success of well-known brands in the past are losing their relevance in the current context. There is the need to identify and understand modern trends and their implications to marketing strategy development. In light of this, this study examines fourteen (14) fundamental ‘game changing’ trends that are poised to impact the traditional practices and perceptions associated with marketing at the operational and strategic levels. The study presents the trends under three categories, the invasive role of technology, data, and social media, alongside looking at their impact on contemporary marketing. Each trend has been identified and analyzed based on in-depth interviews with industry experts as the primary source of data. Relevant data has also been given to present a holistic perspective on each trend.
{"title":"Data, Technology & Social Media: Their Invasive Role in Contemporary Marketing","authors":"K. Vel, Collins Agyapong Brobbey, Abdalrhman Salih, Hafsa Jaheer","doi":"10.5585/REMARK.V14I4.3079","DOIUrl":"https://doi.org/10.5585/REMARK.V14I4.3079","url":null,"abstract":"Marketers have paid a huge price for their inability to decipher which trend has come to stay and which one is a fad. Such a challenge has jeopardized the survival of blue-chip brands, as marketers anticipated in vain the end of existing red ocean strategies. Essentially, the traditional marketing strategies associated with the success of well-known brands in the past are losing their relevance in the current context. There is the need to identify and understand modern trends and their implications to marketing strategy development. In light of this, this study examines fourteen (14) fundamental ‘game changing’ trends that are poised to impact the traditional practices and perceptions associated with marketing at the operational and strategic levels. The study presents the trends under three categories, the invasive role of technology, data, and social media, alongside looking at their impact on contemporary marketing. Each trend has been identified and analyzed based on in-depth interviews with industry experts as the primary source of data. Relevant data has also been given to present a holistic perspective on each trend.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121917373","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}
Segmentation is a core strategy in modern marketing, and age-specific segmentation based on the age of the consumers is very common in practice. Age-specific segmentation enables the change of the segments composition during time and can be studied only by means of dynamic advertising models. Here we assume that a firm wants to optimally promote and sell a single product in an age-segmented market and we model the awareness of this product using an infinite dimensional Nerlove-Arrow goodwill as a state variable. Assuming an infinite time horizon, we use some dynamic programming techniques in infinite dimension to characterize both the optimal advertising effort and the optimal goodwill path in the long run. An interesting feature of the optimal advertising effort is an anticipation effect with respect to the segments considered in the target market, due to time evolution of the segmentation. We analyze this effect in two different scenarios: in the first, the decision makers can choose the advertising flow directed to different age segments at different times, while in the second they can only decide the activation level of an advertising medium with a given age-spectrum.
{"title":"Optimal Investment in Age-Structured Goodwill","authors":"Silvia Faggian, Grosset Luca","doi":"10.2139/ssrn.2097829","DOIUrl":"https://doi.org/10.2139/ssrn.2097829","url":null,"abstract":"Segmentation is a core strategy in modern marketing, and age-specific segmentation based on the age of the consumers is very common in practice. Age-specific segmentation enables the change of the segments composition during time and can be studied only by means of dynamic advertising models. Here we assume that a firm wants to optimally promote and sell a single product in an age-segmented market and we model the awareness of this product using an infinite dimensional Nerlove-Arrow goodwill as a state variable. Assuming an infinite time horizon, we use some dynamic programming techniques in infinite dimension to characterize both the optimal advertising effort and the optimal goodwill path in the long run. An interesting feature of the optimal advertising effort is an anticipation effect with respect to the segments considered in the target market, due to time evolution of the segmentation. We analyze this effect in two different scenarios: in the first, the decision makers can choose the advertising flow directed to different age segments at different times, while in the second they can only decide the activation level of an advertising medium with a given age-spectrum.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126924023","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}
Bundling by a firm with monopoly power can be shown to reduce consumer welfare in one of two ways. First, by applying the “discount attribution standard,” bundling can be shown to exclude or impair equally efficient rivals in ancillary or “tied” markets. Second, by comparing the penalty price of the monopolized or “tying” product when purchased separately with its “independent monopoly price,” bundling can be shown to reduce consumer welfare directly. This paper examines both approaches in the sale of pediatric vaccines in the United States. Analysis of contractual terms imposed by incumbent vaccine manufacturers implies large non-compliance penalties, such that there is no positive price at which a hypothetical rival could induce an otherwise indifferent buyer to “break the bundle.” Furthermore, an analysis of pricing benchmarks indicates that incumbents’ bundled discounts successfully leverage market power from the tying market to the tied market, and observed rival penetration rates indicate that incumbent manufacturers have induced significant foreclosure of rivals. Finally, we analyze the role of Physician Buying Groups (PBGs) in the U.S. pediatric vaccine market, demonstrating that PBGs’ compensation structure distorts their incentives to secure the best prices for healthcare providers.
{"title":"Bundles in the Pharmaceutical Industry: A Case Study of Pediatric Vaccines","authors":"Kevin W. Caves, Hal J. Singer","doi":"10.2139/ssrn.1908306","DOIUrl":"https://doi.org/10.2139/ssrn.1908306","url":null,"abstract":"Bundling by a firm with monopoly power can be shown to reduce consumer welfare in one of two ways. First, by applying the “discount attribution standard,” bundling can be shown to exclude or impair equally efficient rivals in ancillary or “tied” markets. Second, by comparing the penalty price of the monopolized or “tying” product when purchased separately with its “independent monopoly price,” bundling can be shown to reduce consumer welfare directly. This paper examines both approaches in the sale of pediatric vaccines in the United States. Analysis of contractual terms imposed by incumbent vaccine manufacturers implies large non-compliance penalties, such that there is no positive price at which a hypothetical rival could induce an otherwise indifferent buyer to “break the bundle.” Furthermore, an analysis of pricing benchmarks indicates that incumbents’ bundled discounts successfully leverage market power from the tying market to the tied market, and observed rival penetration rates indicate that incumbent manufacturers have induced significant foreclosure of rivals. Finally, we analyze the role of Physician Buying Groups (PBGs) in the U.S. pediatric vaccine market, demonstrating that PBGs’ compensation structure distorts their incentives to secure the best prices for healthcare providers.","PeriodicalId":295980,"journal":{"name":"MKTG: Marketing Strategy (Topic)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063321","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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