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- Member of: ASU Electronic Theses and Dissertations
- Status: Published
Description
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
Description
The e-Retail industry has grown rapidly over the last few years and is projected to continue its upward trend as consumers shift from traditional channels to online channels. In March 2010, Forrester Research forecasted that online retail sales will grow by 10% a year for the next 5 years and e-Retail sales will amount to $249 billion by 2014. With intense competition for market share and profits, information systems and technology (IST) sourcing decisions are becoming increasingly important to e-Retail firms to support continued growth and market responsiveness. There are several aspects for e-Retailers to consider when formulating its IST sourcing strategy. Whether to choose make versus buy for technology assets and services has been addressed in both strategy and IS literature (Handfield et al. 1999, Leiblein et al. 2002, Wade and Hulland, 2004). Then there is the follow-up question of selecting a best-of-breed strategy or tighter partnership with a select group of vendors (Clemons et al. 1993, Kauffman and Tsai 2009). Few studies have looked at IST sourcing or proposed models and frameworks for evaluating IST sourcing decisions (Saarinen and Vepsalainen, 1994). Furthermore, these existing studies mainly address the antecedents of the decisions but not so much on their performance effects (Kauffman and Tsai 2009; Smith et al., 1998). The goal of this study is to extend the knowledge of IST sourcing for e-Retailers, a topic which has received limited attention (Kishore et al., 2004), by addressing a core problem: How should an e-Retailer develop and implement its IST sourcing strategy to accommodate the increase in consumer demand and IT complexity but still achieve high performance? The study introduces two theoretical models to examine organizational factors that influence an e-Retailer's IST sourcing strategies of make versus buy and partnership versus best-of-breed. The proposed models are tested using a panel data set of 307 e-Retail firms over the period of 2006 to 2010. The study opens up the black box of internal firm operations by introducing a granular view of IST sourcing decisions at both the value chain and e-Commerce architecture levels and examining the performance impacts of these strategic choices. This in-depth look at IST sourcing has yet to be explored in the literature.
ContributorsTsai, Juliana Yuh-Shun (Author) / Shao, Benjamin B. M. (Thesis advisor) / Goul, Michael (Committee member) / Santanam, Raghu T. (Committee member) / St. Louis, Robert D. (Committee member) / Arizona State University (Publisher)
Created2012
Description
In this dissertation, two interrelated problems of service-based systems (SBS) are addressed: protecting users' data confidentiality from service providers, and managing performance of multiple workflows in SBS. Current SBSs pose serious limitations to protecting users' data confidentiality. Since users' sensitive data is sent in unencrypted forms to remote machines owned and operated by third-party service providers, there are risks of unauthorized use of the users' sensitive data by service providers. Although there are many techniques for protecting users' data from outside attackers, currently there is no effective way to protect users' sensitive data from service providers. In this dissertation, an approach is presented to protecting the confidentiality of users' data from service providers, and ensuring that service providers cannot collect users' confidential data while the data is processed or stored in cloud computing systems. The approach has four major features: (1) separation of software service providers and infrastructure service providers, (2) hiding the information of the owners of data, (3) data obfuscation, and (4) software module decomposition and distributed execution. Since the approach to protecting users' data confidentiality includes software module decomposition and distributed execution, it is very important to effectively allocate the resource of servers in SBS to each of the software module to manage the overall performance of workflows in SBS. An approach is presented to resource allocation for SBS to adaptively allocating the system resources of servers to their software modules in runtime in order to satisfy the performance requirements of multiple workflows in SBS. Experimental results show that the dynamic resource allocation approach can substantially increase the throughput of a SBS and the optimal resource allocation can be found in polynomial time
ContributorsAn, Ho Geun (Author) / Yau, Sik-Sang (Thesis advisor) / Huang, Dijiang (Committee member) / Ahn, Gail-Joon (Committee member) / Santanam, Raghu (Committee member) / Arizona State University (Publisher)
Created2012
Description
The dissertation explores how participants view the relationships between democratic principles such as freedom, liberty, justice, and equality in work and home environments and their impact on the health and productivity of people living within these environments. This information can be used to determine the gap between legal democratic instruments established the published laws and rights and the participants understanding and awareness of these rights. The first step in effectively capturing information from the participants involved developing a virtual ethnographic research system architecture prototype that allowed participants to voice their opinions related to democracy and how the application of democratic principles in various lived environments such as the workplace and home can affect their health and productivity. The dissertation starts by first delving into what democracy is within the context of general social research and social contracts as related to everyday interactions between individuals within organizational environments. Second, it determines how democracy affects individual human rights and their well-being within lived environments such as their workplace and home. Third, it identifies how technological advances can be used to educate and improve democratic processes within various lived environments such that individuals are given an equal voice in decisions that affect their health and well-being, ensuring that they able to secure justice and fairness within their lives. The virtual ethnographic research system architecture prototype tested the ability of a web application and database technology to provide a more dynamic and longitudinal methodology allowing participants to voice their opinions related to the relationship of democracy in work and home environments to the health and productivity of the people who live within these environments. The technology enables continuous feedback as participants are educated about democracy and their lived environments, unlike other research methods that take a one-time view of situations and apply them to continuously changing environments. The analysis of the participant's answers to the various qualitative and quantitative questions indicated that the majority of participants agree that a positive relationship exists between democracy in work and home environments and the health and productivity of the individuals who live within these environments.
ContributorsBooze, Randall Ray (Author) / Romero, Mary (Thesis advisor) / Goul, Michael (Committee member) / Schugurensky, Daniel, 1958- (Committee member) / Arizona State University (Publisher)
Created2012