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An Extensible Framework For Selecting Incremental Innovations, Arcot Desai Narasimhalu
An Extensible Framework For Selecting Incremental Innovations, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
There are several innovation methodologies reported in the literature starting from simple concepts such as technology push and market pull all the way to Disruptive innovation. Almost all these methods do not provide for customizability and extensibility. The method described in this paper is called Quick and Dirty Innovation Method or QaDIM in short to represent the fact that the method can be used rather easily to identify incremental innovation opportunities. The paper will first describe the basic concept, and then proceed to give a sample framework before proceeding to describe the extensibility. The method allows firms and individuals to …
Information And Competitive Strategy In A Networked Economy, Robert J. Kauffman, Thomas A. Weber, D. J. Wu
Information And Competitive Strategy In A Networked Economy, Robert J. Kauffman, Thomas A. Weber, D. J. Wu
Research Collection School Of Computing and Information Systems
>One of the transformative changes over the past decade has been the way networks have enabled the distributed generation of value and how businesses and organizations have managed to capture a portion of this value. This has resulted in a plethora of innovative business ideas and new strategies. The present special section deals with the incentives for distributed content generation; counterintuitive network effects in the security software market, which features an intrinsic negative externality; and the possibility for collaboration between different platforms in a two-sided market. The included papers offer an interesting mix of theoretical and practical insights. All of …
Science And Technology Parks As An Open Innovation Catalyst For Valorization, Arcot Desai Narasimhalu
Science And Technology Parks As An Open Innovation Catalyst For Valorization, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
This paper sets out by reviewing the key elements of a Science or Technology Park in the context of open innovation. This is followed by a broad scan of Science and Technology Park activity in South and South East Asia. The paper proceeds to discuss Singapore’s continuous efforts to create new Science and Technology park models and presents a new approach the Singapore Management University has pursued for catalyzing valorization. Insights into and recommendations on key issues related to intellectual property, licensing and venture capital that would be of interest to any Science Park are presented later.
Content Contribution For Revenue Sharing And Reputation: A Dynamic Structural Model, Qian Tang, Bin Gu, Andrew B. Whinston
Content Contribution For Revenue Sharing And Reputation: A Dynamic Structural Model, Qian Tang, Bin Gu, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
This study examines the incentives for content contribution in social media. We propose that exposure and reputation are the major incentives for contributors. Besides, as more and more social media Web sites offer advertising-revenue sharing with some of their contributors, shared revenue provides an extra incentive for contributors who have joined revenue-sharing programs. We develop a dynamic structural model to identify a contributor's underlying utility function from observed contribution behavior. We recognize the dynamic nature of the content-contribution decision-that contributors are forward-looking, anticipating how their decisions affect future rewards. Using data collected from YouTube, we show that content contribution is …
Guest Editors’ Introduction: Poverty, Technology, Microfinance And Development, Robert J. Kauffman, Frederick J. Riggins
Guest Editors’ Introduction: Poverty, Technology, Microfinance And Development, Robert J. Kauffman, Frederick J. Riggins
Research Collection School Of Computing and Information Systems
A consistent expectation on the part of public policy-makers, governments and non-governmental organizations (NGOs) has been that information and communications technologies (ICTs) will be a driver of economic growth and social development for the people away from poverty in the nations that harness them effectively. As this process proceeds around the world in the presence of dramatic technical progress, poverty nevertheless continues to be a difficult and grinding social problem to combat. In spite of the promised changes, the reality is that today there are greater population pressures, continuing inertial forces for economic stagnation, unstable social conditions and regional strife, …
Innovation Rules: A Method For Identifying Disruptive Innovation Opportunities?, Arcot Desai Narasimhalu
Innovation Rules: A Method For Identifying Disruptive Innovation Opportunities?, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
Innovation Rules or innovation evolution paths are described in this paper as a mechanism for identifying disruptive innovation opportunities. A generic structure of an Innovation Rule is first introduced followed by a discussion using specific instance of an Innovation Rule. The application of Innovation Rules for the discovery of disruptive innovation opportunities is presented next. Two methods that use Innovation Rules as the basis for identifying disruptive innovation opportunities are described next, one for market pull and the other one for technology push. A framework for dealing with Innovation Rules that represent both big and small disruptions is discussed next. …
Business And Data Analytics: New Innovations In The Management Of E-Commerce, Robert J. Kauffman, Jaideep Srivastava, Jamshid Vayghan
Business And Data Analytics: New Innovations In The Management Of E-Commerce, Robert J. Kauffman, Jaideep Srivastava, Jamshid Vayghan
Research Collection School Of Computing and Information Systems
The success of many different kinds of e-business operations depends on data and information, and how they are used to optimize operations, drive sales and marketing, and grow the business. The ability to manage and safeguard data as a strategic asset, transform it into actionable information, and use it as a strategic differentiator is a key contributor to the success of any business operation. What makes this an even more interesting challenge is the speed at which data have been growing in recent years, due to social networking, the Internet, mobile telephony and all kinds of new technologies that create …
Consumer-Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra
Consumer-Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra
Research Collection School Of Computing and Information Systems
The evolution of human society leads to increased affluence and prosperity of certain populations, sometimes at the expense of well-established markets. Market leaders in products and services tend to be so focused on their current customer base that they are caught off guard with the changes in markets created by the evolution. These changes often go unnoticed until it is too late. The change in customer base often requires the repositioning of products and services through innovations, which address new and emerging markets. Some of these changes could potentially result in tectonic market shifts that force innovation managers to involve …
Content Contribution In Social Media: The Case Of Youtube, Qian Tang, Bin Gu, Andrew B. Whinston
Content Contribution In Social Media: The Case Of Youtube, Qian Tang, Bin Gu, Andrew B. Whinston
Research Collection School Of Computing and Information Systems
Social media allows individuals and businesses to contribute contents for public viewing. However, little is known about the underlying incentives that why content providers derive utilities from such activities. In this study, we build a dynamic structural model to recover the utility function for content providers. Our model distinguishes short-term payoffs based on ad revenue sharing from long-term payoffs driven by content providers' reputation. The model was estimated using a panel data of 914 top 1000 video providers on You Tube from Jun 7th, 2010, to Aug 7th, 2011 since top providers are more likely to be encouraged by these …