/pdf/a-break-in-the-clouds-towards-a-cloud-definition-svovsw1r5a.pdf

A Break in the Clouds: Towards a Cloud Definition

Full length articleMobile payment: Understanding the determinants of customer adoption and intention to recommend the technology

The financial services industry has been experiencing the recent emergence of new technology innovations and process disruptions. The industry overall, and many fintech start-ups are looking for ne...

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5277&context=sis_research

On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services

Data quality management, data usage experience and acquisition intention of big data analytics

Empirical research was conducted to investigate retrenchment as an integral component of the overall turnaround process. An industry study provided an anchored operational definition of a turnaround situation, indications of its internal and external causes, and an application of an absolute measure of its severity. The research further produced an empirical discrimination between retrenchment as a stand-alone response to financial decline and retrenchment as an initial phase of a turnaround strategy, and an identification of activities that can be used to classify entrepreneurial vs. efficiency emphases in a turnaround firm's recovery response.

Turnaround: Retrenchment and recovery

The past twenty years have been a time of many new technological developments, changing business practices, and interesting innovations in the financial information system (IS) and technology landscape. They have led to the increasing use of prior innovations that have supported e-commerce, and that are now being brought into financial services to support different kinds of improvements to core business processes. This research examines recent changes in the payment sector in financial services, specifically related to mobile payments (m-payments) that enable new channels for consumer payments for goods and services purchases, and other forms of economic exchange. We extend recent research on technology ecosystems and paths of influence analysis for how industry-centered technology innovations arise and evolve. We explore the extent to which they can be understood through the lens of several simple building blocks, including technology components, technology-based services, and the technology-supported infrastructures that provide foundations for the related digital businesses. Our extension of the prior research focuses on two key elements: (1) modeling the impacts of competition and cooperation on different forms of innovations in the aforementioned building blocks; and (2) representing the role that regulatory forces play in driving or delaying innovation in the larger scope of our modeling approach. To assess the efficacy of our approach, we use it to retrospectively analyze the past two decades of innovations in the m-payments space. Our results identify the industry-specific patterns of innovation that have occurred, suggest how they have been affected by competition, cooperation and regulation, and point out some more universal patterns of technology innovations that offer insights into the development of e-commerce.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID2573900_code1894111.pdf?abstractid=2573900&mirid=4

Competition, Cooperation and Regulation: Understanding the Evolution of the Mobile Payments Technology Ecosystem

The emergence of the software-as-a-service (SaaS) business model has attracted great attentions from both researchers and practitioners. SaaS vendors deliver on-demand information processing services to users, and thus offer computing utility rather than the standalone software itself. In this work, the author propose an analytical model to study the competition between the SaaS and the traditional COTS (commercial off-the-shelf) solutions for software applications. The author show that when software applications become open, modulated, and standardized, the SaaS business model will take a significant market share. In addition, under certain market conditions, offering users an easy exit option through the software contract will help to increase the SaaS vendors' competitive ability.

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1571&context=sis_research

The Business Model of "Software-As-A-Service"

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3536&context=sis_research

Competition, cooperation, and regulation

Information technology (IT) innovations follow a diverse set of diffusion patterns. Early diffusion models explaining technology diffusion patterns assumed that there is a single homogeneous segment of potential adopters. It was later shown that a two-segment model considering two groups of adopters explains variations in diffusion patterns better than the existing one-segment models. While the two-segment model considers a group of adopters promoting adoption by exerting a positive influence on prospective adopters, it does not consider the members of society who aim to inhibit the adoption process by exerting a negative influence on prospective adopters. In fact, most IT innovations face opposition. Yet it is not clear how opposition affects the diffusion process. In this paper, we model the diffusion of an IT innovation through its target population with three types of actors: influentials, who are autonomous in adopting new technology and promote its adoption; opponents, who are opposed to the technology and inhibit its adoption; and imitators, who are information seekers, thus affected by both influentials and opponents. We show that opponents play a crucial role in determining the diffusion path of an innovation. The empirical tests using real as well as simulated data sets demonstrate the ability of our model to fit the data better and to identify the segments of adopters correctly.

Information Technology Diffusion with Influentials, Imitators, and Opponents

Innovations involving information technology (IT) provide potentially valuable investment opportunities for industry and government organizations. Significant uncertainties are associated with decision-making for IT investment though, a problem that senior executives have been concerned about for a long time. The uncertainties include consumer, market and regulatory responses, IT-driven changes in operational and transactional performance, technology standards and competition, and future market conditions. All these things have an impact on organizations' willingness to adopt. As a result, traditional capital budgeting, investment experience, and intuition have not been very effective in IT investment decision-making. We propose a new option-based stochastic valuation modeling approach for IT investment under uncertainty that incorporates a mean reversion process to capture cost and benefit flow variations over time. We apply the proposed approach in two industry settings: to a large-scale IT investment in the consolidation of data marts at a major airline, and to a mobile payment system infrastructure investment on the part of a start-up. The applications supported the evaluation of the proposed methods, and offered some illustrations about the kinds of managerial insights that can be obtained. We also report on several extensions that demonstrate how the creation of useful management findings from the modeling approach can be supplemented with project value sensitivity analysis and the use of simulation-based least-squares Monte Carlo valuation. The findings are useful to assess the power and value of the approach.

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3472&context=sis_research

Dan Ma

Papers

Competition, Cooperation and Regulation: Understanding the Evolution of the Mobile Payments Technology Ecosystem

The Business Model of "Software-As-A-Service"

Competition, cooperation, and regulation

Information Technology Diffusion with Influentials, Imitators, and Opponents

Technology investment decision-making under uncertainty