The effect of shopping goals and in-store mobile device use on purchase outcomes in brick-and-mortar stores

The present study examines the effect of using a mobile device on search and evaluation by a shopper in a brick-and-mortar store. A conceptual model that proposes inter-relationships between shopping goals, the amount and type of in-store mobile device use, and purchase outcomes is developed. Data from a national quota sample of 1034 mobile shoppers is used to test hypotheses derived from the proposed model. The findings provide several new insights into the impact of in-store mobile device use on the consumer decision journey in a brick-and-mortar store. Depending upon the shopping goals of the consumer, the use of a mobile device by shoppers in a brick-and-mortar store can either decrease or increase search, lead to more deferred purchases or in-store-now purchases, and more online or physical store purchases. The study is among the first to model the pathway to purchase for mobile device assisted shoppers in brick-and-mortar stores.     

Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context

Product pricing has been one of the central issues in the field of marketing and consumer services for managers and researchers alike. However, pricing of information goods has not been paid much attention in literature. For information goods the marginal costs of production and transportation of information goods (online movies, video games, etc.) is almost zero. Hence, the pricing decisions need to be thought of purely in competitive profit maximizing terms. This paper proposes mechanisms for managers to evaluate and base their pricing decisions on rational frameworks that takes into account various situations when they enter a new market and when they are incumbent in a new market. This paper addresses the research gap of spatially differentiated pricing strategy for information goods that has not been studied in literature so far. We create stylized theoretical models under both, sequential and simultaneous decision-making conditions. We determine the equilibrium price and the equilibrium profit for the two firms for each of the four possible scenarios based on their pricing strategies. Our analysis reveals that the dominance of one pricing strategy over the other depends on product differentiation factor capturing joint effect of the product substitutability and consumer's price sensitivity under sequential decision making and the market size along with consumer's price sensitivity for simultaneous decision making. As an extension, we propose a generalized model demonstrating the uniform and spatially differentiated pricing strategies of the firms under simultaneous and sequential selection for multiple domestic and international markets.     

Search reduction in hierarchical distributed problem solving

Knoblock and Korf have determined that abstraction can reduce search at a single agent from exponential to linear complexity (Knoblock 1991; Korf 1987). We extend their results by showing how concurrent problem solving among multiple agents using abstraction can further reduce search to logarithmic complexity. We empirically validate our formal analysis by showing that it correctly predicts performance for the Towers of Hanoi problem (which meets all of the assumptions of the analysis). Furthermore, a powerful form of abstraction for large multiagent systems is to group agents into teams, and teams of agents into larger teams, to form an organizational pyramid. We apply our analysis to such an organization of agents and demonstrate the results in a delivery task domain. Our predictions about abstraction's benefits can also be met in this more realistic domain, even though assumptions made in our analysis are violated. Our analytical results thus hold the promise for explaining in general terms many experimental observations made in specific distributed AI systems, and we demonstrate this ability with examples from prior research.This research has been sponsored, in part, by the National Science Foundation under grants IRI-9015423 and IRI-9010645, by the University of Michigan Rackham Graduate School, and by a Bell Northern Research Postgraduate Award.     

多委托代理关系、政策的选择性执行与农村税费改革

农村税费改革在全国全面推行后,在目前的条件下这一政策出现的一些问题能否得到全面深入的贯彻执行的问题引起了学术界的关注.本文运用多委托代理理论来分析中国多层级垂直行政管理体系中的政策执行问题,认为地方基层政府利用政策存在无法执行的可能性以及信息传递中的噪音,从事违背税费改革精神的行为,地方政府出于自身的利益以及要求地方基层政府完成各种政策任务的考虑默许、袒护这一行为,并提出了全面贯彻执行农村税费改革政策所要采取的对策.     

境外上市与企业投资效率

截至2021年11月,我国单独境外上市企业占到境外上市企业总数的88.32%,但单独境外上市的研究明显与该数据不匹配,研究数量缺乏。为扩充该方面研究,本文以2012~2020年单独在美国和中国香港上市的中资企业为研究对象,对境外上市与投资效率关系进行检验。实证结果发现,单独境外上市与境内上市企业相比投资效率更低,区分企业上市地点后发现,规模大、信息透明度低、存在代理成本的赴港上市企业比境内上市企业投资效率低,规模小、代理成本高、信息透明度低的赴美上市企业比境内上市企业投资效率低。通过机制分析发现,信息透明度、境外上市和非效率投资三者存在"遮掩效应",境外上市企业未能受到有效的信息约束。     

Information effects of dividends: Evidence from the Hong Kong market

The literature has suggested that earnings and earnings forecasts provide stronger signals than dividends about future performance of a firm. We test the information effects of simultaneous announcement of earnings and dividends in the Hong Kong market, distinguished by three interesting features (concentrated family-shareholdings, low corporate transparency, and no tax on dividends). Our results show significant share price reactions to unexpected earnings and dividend changes, but dividends appear to play a dominant role over earnings in pricing, a result contrary to findings in the literature. The signaling hypothesis works primarily for firms with earning increases, while the maturity hypothesis works mainly for firms with earnings declines.

Property rights and information flows: a simulation approach

With the growth of the information economy, the proportion of knowledge-intensive goods to total goods is constantly increasing. Lessig (The future of ideas: the fate of the commons in a connected world. Vintage, New York 2001) has argued that IPRs have now become too favourable to existing producers and that their ‘winner-take-all’ characteristics are constraining the creators of tomorrow. In this paper we look at how variations in IPRs regimes might affect the creation and social cost of new knowledge in economic systems. Drawing on a conceptual framework, the Information Space or I-Space to explore how the uncontrollable diffusibility of knowledge relates to its degree of structure, we deploy an agent-based modelling approach to explore the issue of IPRs. We take the ability to control the diffusibility of knowledge as a proxy measure for an ability to establish property rights in such knowledge. Second, we take the rate of obsolescence of knowledge as a proxy measure for the degree of turbulence induced by different regimes of technical change. Then we simulate the quantity and cost to society of new knowledge under different property right regimes.

注册制下完善A股分拆上市对策研究

分拆上市作为证券市场优化资源配置和促进市场化并购重组的重要手段,在境外市场被广泛运用,但A股市场的分拆案例相对较少。2019年12月,证监会发布了《上市公司分拆所属子公司境内上市试点若干规定》(以下简称《若干规定》),为引导和规范上市公司分拆所属子公司在境内上市奠定了政策基础。由于我国分拆上市制度还刚刚起步,仍需在加强监管、完善配套制度、确立有关业务规则等方面开展持续研究。为厘清成熟市场分拆上市的实践,本文重点研究美国和中国香港市场,对其分拆上市的相关规则、有益经验以及最新案例进行梳理和归纳,在此基础上提出相应的政策建议,以期为后续细则制定提供参考。     

我国数字经济发展战略与路径研究--基于国际经验的考察

当前我国经济正处于增速放缓、结构升级及经济发展动力转换的新常态阶段。寻找新的经济增长点和新动能是经济新常态时期的重要任务和目标,而发展数字经济则是目前最优的经济发展模式。2017年数字经济被写入政府工作报告,预示着数字经济作为继农业经济和工业经济发展模式之后的又一新型社会经济发展形态,已成为新常态下中国经济发展的新动能,也是推动我国供给侧结构性改革的重要抓手。但数字经济模式属于新型经济发展模式,目前尚无一个完整的发展参考体系,需要我国自寻探究发展道路。由此,本文在研究数字经济内涵及其战略意义的基础上,基于我国数字经济发展现状和国外发展战略提出了我国数字经济的具体发展路径。     

我国数字贸易发展:现状、挑战与策略研究

借助互联网新技术的发展与应用推广,全球数字贸易得以快速发展,市场规模增速已经超过传统货物贸易及服务贸易,成为世界贸易发展新动能。我国数字技术和数字经济的高速发展使传统制造业与服务业融合加深,贸易服务性更强,因此我国数字贸易正面临着前所未有的发展机遇。但数字贸易作为数字经济的重要表现形式,其经营模式以及国际间的冲突摩擦,又致使其面临诸多发展挑战,由此提出从内部制度和外部环境两方面同时进行改进与完善,进而推动我国数字贸易发展。