Browsing by Author "Trappey, Charles"

Now showing 1 - 5 of 5

An evaluation model for low carbon island policy: The case of Taiwan's green transportation policy
(2012-06-01)
Trappey, Amy J. C.
;
Trappey, Charles
;
Hsiao, C. T.
;
Ou, Jerry J. R.
;
Li, S. J.
Conserving energy and reducing carbon emissions have become the common responsibility of the international community. During the year 2010, the Taiwan government planned a four-year project budgeted at 300 million US dollars, called "The Penghu Low Carbon Island Development Project." The policy objective is to use Penghu Island (population 85,000) as a test platform to evaluate new ways to conserve energy and reduce carbon emissions before attempting to replicate the policies on Taiwan Island. For Taiwan, a zero carbon island green transportation policy will regulate the total number of electric scooters, the total number of gasoline motorcycles, influence government subsidy incentives, and create the need for new motorcycle license issuing and control. These factors interact with each other to form a complex and dynamic system that impacts policy as well as the current way of life. In this study, a system dynamics approach is designed to construct a model for evaluating the green transportation policy on Penghu Island. Simulations are conducted to model green transportation system behavior and related policy effects in a smaller, controlled environment before creating policies for Taiwan Island that will impact the lives of over 23 million people. (C) 2012 Elsevier Ltd. All rights reserved.
Computer supported ontology-based patent analysis considering business processes and strategic patent portfolio management
(2015)
Trappey, Amy J. C.
;
Tung, Jasmine T. C.
;
Trappey, Charles
;
Wang, Tong-Mei
;
Tang, Mark Y. L.
Two approaches are frequently used to study the critical technology and market trends of industry. One analyzes the business processes from the market perspective with statistics market survey. The other perspective predicts new technologies from the patent (intellectual property) data. Business process analysis is limited to analyzing existing technologies and market applications. Since the service delivery processes are not frequently linked to the intellectual property of the underlying technologies, applying a patent perspective enables the analysis of technology trends, technology ownership, and royalty payment analysis. These data are used to illustrate the technology life cycles, predict emerging trends, and identify research opportunities with Computer Supported tools. Patent analysis enables the predictions of technology trends but poorly links the technology to actual products for market adoption cause of the large amount of the data. This research develops an innovative computer supported approach for technology analysis combining both market and patent perspectives. The business processes of a given knowledge domain, driven by the market perspective, is analyzed to build the basis of the domain\'s ontology. Afterward, the key phrases of the business processes are added to form the ontology schema. The related patents are then systematically linked to the business process schema nodes. The research approach enables the business process-oriented patent portfolios among current and potential competitors to be mapped and critically compared from both market performance and technology ownership perspectives. The methodology allows in-depth integrated views of rivals\' patenting and business development for strategic R&D management. The case of InvisalignTM innovative orthodontic services and the patent portfolio is studied to demonstrate the proposed methodology.
Knowledge Discovery of Service Satisfaction Based on Text Analysis of Critical Incident Dialogues and Clustering Methods
(2013)
Trappey, Charles
;
Wu, Hsin-Ying
;
Liu, Kuan-Liang
;
Lin, Feng-Teng
;
管理科學系
Text mining of consumer's dialogues regarding their service experiences provides a direct and unbiased feedback to service providers. This research proposes an analysis process to analyze unstructured input from consumer dialogues. The goal is to apply the critical incident and text mining methods to discover factors that contribute to customer satisfaction and dissatisfaction. The critical incident method is used to construct an open-ended questionnaire to collect customer's positive and negative opinions toward the service provided. Valid and reliable text mining techniques are used to cluster significant text to help analyze incidents that customers care about. A case study of consumers riding the Kaohsiung Mass Rapid Transit System (KMRT) was cased to evaluate the proposed analysis process. Based on dialogues collected from the open-ended questionnaires, the analysis process extracts key phrases related to consumer's best and worst service experiences, creates significant dialogue clusters, and derives meaningful trends, baselines, and interpretations of consumer satisfaction and dissatisfaction. The results of this case study can be used as a basis for building more complete analytical methods to understand consumer experiences and provide strategic feedback for service providers.
Patent Analysis of Key Technologies for Smart Retailing and their Projected Economic Impact
(2018-01-01)
Trappey, Amy J. C.
;
Wang, W. C.
;
Trappey, Charles
;
Hsieh, H. I.
;
管理科學系
With the growing population of digital users gaining online consumption power, retail industries are facing evolutionary changes in attracting and maintaining online and offline customers. The concepts and implementation of smart malls and retail shops are proposed by retailers or solution providers to satisfy new customer demands. The foundation of smart retailing includes information integration, customer experience, and e-transactions. This research investigates the economic impact of smart retailing and the growth of related intellectual properties (IPs), specifically, the retail domain online related patents. The technological aspect of smart retailing is organized by constructing a patent ontology map to define the domain boundary. The economic impact of technological transformations is studied by measuring the economic growth of the leading regions and countries and the representative patent assignees. Consumption preferences and labor structure changes in relation to the retail industry are analyzed to verify the economic impact of corresponding intellectual properties. The goal of the research is to develop regional development strategies for smart retailing using global patent and economic impact analyses.
Using the Collective Intelligence of Sports Fans to Improve Professional Football League Customer Service
(2014-01-01)
Trappey, Charles
;
Smith, Peter
;
Trappey, Shelby
;
Chen, Lynn W. L.
;
Tung, Jasmine T. C.
This research investigates sports fans\' emotions and feelings toward a professional football game as a unique event offering related services, crowd interactions, performances, incidences, and outcomes. Critical incident surveys (open-ended, written text dialogues) were used to identify the most salient positive and negative phrases used to express football fans\' game experiences. The key term frequencies were first analyzed using text and data mining techniques to form the ontological base (with a focus on emotions, feeling, and events); second by building a theory based ontology tree structure; and third by experts abstracting the dialogues into consistent key terms and phases related to a formal ontology structure. The collective intelligence of 37 Green Bay Packers fans\' emotions, feelings, event related incidences, and outcomes were mapped to the derived ontology schema which in turn was re-submitted to the text mining algorithms. The ontology based, collective findings depicts the Green Bay Packers fans\' deep opinions. Given the structured text data results, clusters form a theoretical base for creating initial causal models for future verification. The initial research provides a new means for effectively improving professional sports services, particularly in defining the interrelation of feelings, emotions, events, and the related object properties.