Browsing by Author "Tang, Ying-Chan"

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BEYOND OBJECTIVE KNOWLEDGE: THE MODERATING ROLE OF FIELD DEPENDENCE-INDEPENDENCE COGNITION IN FINANCIAL DECISION MAKING
(2016)
Chang, Shun-Chuan
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Tang, Ying-Chan
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Liu, Yang-Jung
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經營管理研究所
;
Institute of Business and Management
We investigated the effects of objective knowledge and information cues on consumer financial decisions, and examined the moderating effects of field dependence-independence on the decision-making process. Participants were grouped into 2 clusters, that is, field dependent or independent cognition, according to their scores on the Embedded Figures Test (EFT). We then examined how intrinsic objective knowledge and extrinsic information cues were calibrated from an investor\'s cognitive ability. Results indicated that field independent participants with higher, vs. lower, scores on the EFT showed considerable superiority in acquiring information and were more risk averse. Participants with greater objective knowledge levels and prior domain expertise were also more assertive and risk prone in financial decision making than those with less objective knowledge and domain experience.
Detecting hospital fraud and claim abuse through diabetic outpatient services
(2008-12-01)
Liou, Fen-May
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Tang, Ying-Chan
;
Chen, Jean-Yi
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經營管理研究所
;
Institute of Business and Management
Hospitals and health care providers tend to get involved in exaggerated and fraudulent medical claims initiated by national insurance schemes. The present study applies data mining techniques to detect fraudulent or abusive reporting by healthcare providers using their invoices for diabetic outpatient services. This research is pursued in the context of Taiwan's National Health Insurance system. We compare the identification accuracy of three algorithms: logistic regression, neural network, and classification trees. While all three are quite accurate, the classification tree model performs the best with an overall correct identification rate of 99%. It is followed by the neural network (96%) and the logistic regression model (92%).
DOES FIRM PERFORMANCE REVEAL ITS OWN CAUSES? THE ROLE OF BAYESIAN INFERENCE
(2010-01-01)
Tang, Ying-Chan
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Liou, Fen-May
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經營管理研究所
;
Institute of Business and Management
A central problem in strategic management is how the inference 'sustainable competitive advantage generates sustainable superior performance' can be put into practice. In this article we develop a theoretical framework, to understand the causal relationships among (1) sustainable competitive advantage, (2) configuration, (3) dynamic capability, and (4) sustainable superior performance. We propose that a firm's competitive advantage, resource bundle configuration, and dynamic learning capability cannot be comprehended by outsiders. Its operational performance, however, can be captured by financial indicators. We promote an inductive Bayesian interpretation of the sustainable competitive advantage proposition. From this viewpoint, the presence or absence of competitive advantage may be reflected in the causal relationship between resource configuration, dynamic capability, and observable financial performance. We apply this theoretical framework to an example drawn from the global semiconductor industry, all area in which resource configuration and dynamic capability are essential to performance. The paper concludes with a summary of the proposed model and suggestions for future theoretical development of strategic management. Copyright (C) 2009 John Wiley & Sons, Ltd.
Optimal promotional strategy for intra-category cross-selling An application to culinary products in Taiwan
(2014)
Tang, Ying-Chan
;
Wang, Yu-Mei
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Huang, Jiun-Yan
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經營管理研究所
;
Institute of Business and Management
Purpose - The aim of this paper is to investigate an optimal promotional strategy of intra-category cross-selling on culinary products for the fiercely competitive, fast-moving consumer goods (FMCG) industry. Design/methodology/approach - A linear regression model and a Markov switching autoregressive model is used, that incorporates a retailing demand process to capture a nonlinear structure among promotional budget allocation, and evaluate promotional performance, and optimal promotional frequency within a given time span. Three product categories are applied with 39 months of time-series data from a multinational packaged food company in Taiwan. Findings - The result shows that most previous decisions on promotional budget allocation are non-optimal - most promotional investments were either extended too long or allocated too low in stimulating sales. Research limitations/implications - This study suggests implications for the brand or category manager in removing such non-optimal promotional policies. Originality/value - Previous promotional investment is evaluated by comparing the changes in promotional budget allocation. Markov's switching feedback rules are then applied to determine the proper length of equilibrium state with and/or without promotion. Finally, effective decision rules on magnitude, duration, and frequency of intra-category promotional strategy are induced.