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Forrest Research estimated that revenues derived from mobile devices will grow at an annual rate of 39% to reach $31 billion by 2016. With the tremendous market growth, mobile banking, mobile marketing, and mobile retailing have been recently introduced to satisfy customer needs. Academic and practical articles have widely discussed

Forrest Research estimated that revenues derived from mobile devices will grow at an annual rate of 39% to reach $31 billion by 2016. With the tremendous market growth, mobile banking, mobile marketing, and mobile retailing have been recently introduced to satisfy customer needs. Academic and practical articles have widely discussed unique features of m-commerce. For instance, hardware constraints such as small screens have led to the discussion of tradeoff between usability and mobility. Needs for personalization and entertainment foster the development of new mobile data services. Given distinct features of mobile data services, existing empirical literature on m-commerce is mostly from the consumer side and focuses on consumer perceptions toward these features and their adoption intentions. From the supply side, limited data availability in early years explains the lack of firm-level studies on m-commerce. Prior studies have shown that unclear market demand is a major reason that hinders firms' adoption of m-commerce. Given the advances of smart phones, especially the introduction of the iPhone in 2007, firms recently have started to incorporate various mobile information systems in their business operations. The study uses mobile retailing as the context and empirically assesses firms' migration to this new sales venue with a unique cross-sectional dataset. Despite the distinct features of m-commerce, m-Retailing is essentially an extended arm of e-Retailing. Thus, a dependency perspective is used to explore the link between a firm's e-Retail characteristics and the migration to m-Retailing. Rooted in the innovation diffusion theory, the first stage of my study assesses the decision of adoption that indicates whether a firm moves to m-Retailing and the extent of adoption that shows a firm's commitment to m-Retailing in terms of system implementation choices. In this first stage, I take a dependency perspective to examine the impacts of e-Retail characteristics on m-Retailing adoption. The second stage of my study analyzes conditions that affect business value of the m-Retail channel. I examine the association between system implementation choices and m-Retail performance while analyzing the effects of e-Retail characteristics on value realization. The two-stage analysis provides an exploratory assessment of firm's migration from e-Retailing to m-Retailing.
ContributorsChou, Yen-Chun (Author) / Shao, Benjamin (Thesis advisor) / St. Louis, Robert (Committee member) / Goul, Michael (Committee member) / Arizona State University (Publisher)
Created2013
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Description
This study examines the 3 key questions of media budget allocation, to find our a better invest model. Including spending share of traditional media and digital media, program selection strategy and duration mix optimization to analyse the trend of sample A (a global cosmetic brand) . Based on every test

This study examines the 3 key questions of media budget allocation, to find our a better invest model. Including spending share of traditional media and digital media, program selection strategy and duration mix optimization to analyse the trend of sample A (a global cosmetic brand) . Based on every test media campaign, we do research of media performance and sales volumn, add youth consumer behavior result, to develop a media investment ROI model for this brand. Create the evaluation system according to past big data and find the learnings of different length TVC usage. Of course all relavant findings and implications will be summarized after every section.
ContributorsXu, Jin (Author) / Gu, Bin (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Shao, Benjamin (Committee member) / Arizona State University (Publisher)
Created2018
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Description当前各个城市都在努力推动“互联网+政务”的公共服务新模式,打造政府公共服务平台,提供“一站式”的服务资源,以民众需求为中心,解决民众信息查询、政府办事预约、政策咨询等公共活动的需要。可以看出,政务平台给民众的生活带来极大的便利,是当前各地政府响应中央建立“智慧城市”“数字中国”的重要举措。

本课题发现当前的政务平台逐步引入PPP模式,借助社会资源开发政务平台。但是,PPP模式是否有利于政务平台的建设,受到哪些因素的制约,如何更好地利用PPP模式进行开发工作,这些问题在现前的研究中没有得到很好地探索。带着这些问题,本课题对PPP模式在政务平台建设中的作用进行了深入剖析。主要研究内容如下:

在第一部分中,本课题政府公共服务和政务相关理论进行了全面整理,发现政务平台要想走出一条健康发展之路,需要借助社会资源进行市场化,而PPP模式符合当前政务平台建设的需要。本文对PPP模式在国内外电子政务的应用进行了分析,提出了本文的研究主题。

在第二部分中,本文对华东地区50座城市的政务平台进行了调研,对常见问题进行了整理,发现PPP模式已经广泛应用于政务平台建设中,且主要有四种模式,本文对50座城市的政务平台建设情况进行了数据采集,并进行了深入分析。

在第三部分中,结合调研现状和文献研究成果,提出了PPP模式影响政务平台建设的相关假设,并构建了计量模型。通过短面板分析验证假设,并进行了Robust分析,证实结论的普适性。

在第四部分中,本文分析了研究结果,认为政务平台采用PPP模式能够有效促进政务平台的建设水平,提高用户满意度;并且PPP模式与合作企业的估摸、信息的透明程度和平台的交互能力存在显著的交互作用,共同影响用户对政务平台的评价。政府引入PPP模式,充分对接可利用资源,并加强盈利控制,对当前政务平台的建设是具有积极意义的。
ContributorsZhao, Liang (Author) / Pei, Ker-Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Shao, Benjamin (Committee member) / Arizona State University (Publisher)
Created2019
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Description
Sprouts Farmers Market is a natural grocery retailer that has undertaken a major growth strategy in recent years, and as a result, will soon face the task of managing over 150 stores in 7 states. This rapid expansion has created a need for process improvement and automation for many tasks

Sprouts Farmers Market is a natural grocery retailer that has undertaken a major growth strategy in recent years, and as a result, will soon face the task of managing over 150 stores in 7 states. This rapid expansion has created a need for process improvement and automation for many tasks that have become too time consuming and cumbersome. As an intern working in the purchasing division of this company for over a year now, I have had the opportunity to identify some of these issues, one of which I have addressed through completion of my honors creative project.
ContributorsWeiss, Jesse (Author) / Shao, Benjamin (Thesis director) / Hayes, Collen (Committee member) / Couturier, Stuart (Committee member) / Barrett, The Honors College (Contributor)
Created2011-05