Information Systems & Economics eJournal最新文献_第9页

Stuck Online: When Online Engagement Gets in the Way of Offline Sales 困在网上:当在线参与妨碍了线下销售

Information Systems & Economics eJournal Pub Date : 2020-04-25 DOI: 10.2139/ssrn.2672067

Sagit Bar-Gill, Shachar Reichman

{"title":"Stuck Online: When Online Engagement Gets in the Way of Offline Sales","authors":"Sagit Bar-Gill, Shachar Reichman","doi":"10.2139/ssrn.2672067","DOIUrl":"https://doi.org/10.2139/ssrn.2672067","url":null,"abstract":"In recent years, billions of dollars have been spent by both online and offline retailers on website design aimed at increasing consumers’ online engagement. We study the relationship between online engagement and offline sales, utilizing a quasi-experimental setting in which a leading premium automobile brand gradually launched a new interactive website across markets, allowing for a treatment-control comparison. This paper offers evidence of a causal effect of online engagement on offline sales, with the high-engagement website leading to a decline of approximately 12% in car sales. This negative effect is due to substitution between online and offline engagement; users of the high-engagement website exhibited a decreased tendency to seek out personal contact with a car dealer and proceed to offline engagement—a necessary stage in the car purchase funnel. We develop an analytical model of the online-to-offline sales funnel to generalize our findings and highlight the conditions under which online engagement substitutes for offline engagement and potentially decreases offline sales. Taken together, our findings suggest that while online engagement serves as a means for both product information provision and consumer persuasion, it may fall short in achieving the latter goal, as compared to the offline channel. For purely offline products, hands-on engagement is a necessary step toward purchase. Thus, increasing consumers’ online engagement may not be an optimal strategy if it has the potential to halt progression down the sales funnel and reduce offline engagement.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86166768","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}

引用次数: 9

Angry Borrowers: Negative Reciprocity in a Financial Market 愤怒的借款人:金融市场中的负互惠

Information Systems & Economics eJournal Pub Date : 2020-04-15 DOI: 10.2139/ssrn.3415808

Li Liao, Zhengwei Wang, Hongjun Yan, Jun Yang, Congyi Zhou

引用次数: 5

A Review on System for Identification and Validation of Coin 货币识别与验证系统研究述评

Information Systems & Economics eJournal Pub Date : 2020-04-08 DOI: 10.2139/ssrn.3563829

Vishal V. Rathi, Sunil Kumar Birla

引用次数: 0

Cellular Networks: An Underlying Technology for Mobile Phones, Communication System & Wireless Networking 蜂窝网络:移动电话、通信系统和无线网络的基础技术

Information Systems & Economics eJournal Pub Date : 2020-04-06 DOI: 10.2139/ssrn.3571508

Dr. Shashiraj Teotia, S. Panwar

引用次数: 0

Through a Glass, Darkly: Artificial Intelligence and the Problem of Opacity 透过玻璃，黑暗:人工智能和不透明度问题

Information Systems & Economics eJournal Pub Date : 2020-04-01 DOI: 10.2139/ssrn.3575534

S. Chesterman

{"title":"Through a Glass, Darkly: Artificial Intelligence and the Problem of Opacity","authors":"S. Chesterman","doi":"10.2139/ssrn.3575534","DOIUrl":"https://doi.org/10.2139/ssrn.3575534","url":null,"abstract":"\u0000 As computer programs become more complex, the ability of non-specialists to understand how a given output has been reached diminishes. Opaqueness may also be built into programs to protect proprietary interests. Both types of systems are capable of being explained, either through recourse to experts or an order to produce information. Another class of system may be naturally opaque, however, using deep learning methods that are impossible to explain in a manner that humans can comprehend. An emerging literature describes these phenomena or specific problems to which they give rise, notably the potential for bias against specific groups. Drawing on examples from the United States, the European Union, and China, this Article develops a novel typology of three discrete regulatory challenges posed by opacity. First, it may encourage—or fail to discourage—inferior decisions by removing the potential for oversight and accountability. Second, it may allow impermissible decisions, notably those that explicitly or implicitly rely on protected categories such as gender or race in making a determination. Third, it may render illegitimate decisions in which the process by which an answer is reached is as important as the answer itself. The means of addressing some or all of these concerns is routinely said to be through transparency. Yet, while proprietary opacity can be dealt with by court order and complex opacity through recourse to experts, naturally opaque systems may require novel forms of “explanation” or an acceptance that some machine-made decisions cannot be explained—or, in the alternative, that some decisions should not be made by machine at all.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78408937","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}

引用次数: 4

An Adaptive DiffServ Approach to Support QoS in Network Mobility NEMO Environment 网络移动性NEMO环境下支持QoS的自适应DiffServ方法

Information Systems & Economics eJournal Pub Date : 2020-03-31 DOI: 10.5121/ijcnc.2020.12202

Loay F. Hussein, A. Hashim, M. H. Habaebi, W. H. Hassan

{"title":"An Adaptive DiffServ Approach to Support QoS in Network Mobility NEMO Environment","authors":"Loay F. Hussein, A. Hashim, M. H. Habaebi, W. H. Hassan","doi":"10.5121/ijcnc.2020.12202","DOIUrl":"https://doi.org/10.5121/ijcnc.2020.12202","url":null,"abstract":"Network mobility basic support (NEMO BS) protocol (RFC 3963) is an extension of Mobile IPv6. The NEMO BS embraced by the IETF working group to permit any node in the portable network to be accessible to the Internet despite the fact the network itself is roaming. This protocol likewise Mobile IPv6 does not deliver any kind of Quality of Service (QoS) guarantees to its clients. It can barely offer the same level of services (i.e. Best-Effort) to all the users without obligation to the needs of applications. These propositions a challenge to real-time applications that demand a precise level of QoS pledge. The Differentiated Services have recently come to be the most widely used QoS support technology in IP networks due to its relative simplicity and scalability benefits. This paper proposes a new scheme to provide QoS to mobile network nodes within the NEMO context. The proposed scheme intends to reduce handover latency for the users of MNN as well as alleviates packet losses. The feasibility of the proposed enhancement is assessed by measuring its performance against the native NEMO BS standard protocol using the NS-2 simulator. The obtained results in the simulation study have demonstrated that the proposed scheme outperforms the standard NEMO BS protocol.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86185221","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}

引用次数: 3

Blockchain Governance — A New Way of Organizing Collaborations? 区块链治理——组织协作的新方式?

Information Systems & Economics eJournal Pub Date : 2020-03-28 DOI: 10.1287/orsc.2020.1379

Fabrice Lumineau, Wenqian Wang, Oliver Schilke

引用次数: 172

Technology Licensing and Environmental Policy Instruments: Price Control versus Quantity Control 技术许可和环境政策工具:价格控制与数量控制

Information Systems & Economics eJournal Pub Date : 2020-03-28 DOI: 10.2139/ssrn.2822784

Seung-Gyu Sim, Sung-gyun Hong

引用次数: 4

When Sharing Economy Meets Traditional Business: Coopetition between Ride-Sharing Platforms and Car-Rental 当共享经济遇上传统商业:共享出行平台与汽车租赁的合作

Information Systems & Economics eJournal Pub Date : 2020-03-18 DOI: 10.2139/ssrn.3659380

Chenglong Zhang, Jianqing Chen, Srinivasan Raghunathan

{"title":"When Sharing Economy Meets Traditional Business: Coopetition between Ride-Sharing Platforms and Car-Rental","authors":"Chenglong Zhang, Jianqing Chen, Srinivasan Raghunathan","doi":"10.2139/ssrn.3659380","DOIUrl":"https://doi.org/10.2139/ssrn.3659380","url":null,"abstract":"We examine coopetition between a ride-sharing platform and a car-rental firm. A distinctive aspect of this context is that the platform operates under the sharing-economy model where the supply is self-scheduled by drivers depending on the wage, whereas the car-rental firm operates under the traditional model with a fixed supply and cost structure. The platform and the car-rental firm compete for riders looking for transportation. If the platform and the rental firm choose to cooperate, they allow a (secondary) driver to rent from the rental firm and drive for the platform. In the absence of cooperation, only those with their own vehicles (i.e., primary drivers) are allowed to drive for the platform. We show that such supply-side (i.e., driver-side) cooperation intensifies the demand-side (i.e., rider-side) price competition and decreases total revenue. Therefore, coopetition is mutually beneficial only when it leads to a significant decrease in the supply or driver cost. Moreover, when coopetition is mutually beneficial, the benefit arises solely because of the improved profit margin from riders that switch from the rental firm to the platform and from those that are switched from primary to secondary drivers under cooperation. We find that cooperation is more likely to occur when the total rider market size is not high, the degree of rider substitutability between the platform and the rental firm is low, and the platform has a significant market-size advantage over the rental firm. Coopetition between the platform and the rental firm benefits the riders and hurts the drivers, but benefits society overall. The presence of cross-side network effects on the platform enhances the incentives to engage in coopetition.","PeriodicalId":13594,"journal":{"name":"Information Systems & Economics eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86467825","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}

引用次数: 1

Does the Quantile Regression Forest Learn More Information on Chinese Systemic Risk? 分位数回归森林能更好地反映中国的系统性风险吗?

Information Systems & Economics eJournal Pub Date : 2020-03-18 DOI: 10.2139/ssrn.3556400

Yuejiao Duan, Xiaoyun Fan, Haoran Li

引用次数: 0