A new approach and insightful financial diagnoses for the IT industry based on a hybrid MADM model

Shen, Kao-Yi; Tzeng, Gwo‐Hshiung

doi:10.1016/j.knosys.2015.04.024

Cited by 23 publications

(10 citation statements)

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“…To address the shortcomings of previous studies, this study applied a new conceptual framework of mobile health care to develop a measurable evaluation index system with the DDANPVM model. Therefore, we further explored the relationship and degree among dimensions and criteria [46][47][48][49][50][51][52][53][54] with respect to performance improvement. First, this study addressed both internal and external influence factors in consumers' adoption of mobile health care, applying literature analysis, discussion, and summarization.…”

Section: Research Content and Frameworkmentioning

confidence: 99%

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

et al. 2019

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Identifying the key influencing factors that affected users’ adoption of sustainable mobile health care and improving alternative mobile health services continuously can help ordinary consumers (especially vulnerable populations) use extensive health resources cheaply and conveniently; which can increase the quality and equity of health services; so as to promote the sustainable development of medical resources. We integrated decision making trial and evaluation laboratory (DEMETEL)-based analytic network process (DANP) and a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to form a DDANPMV (DEMATEL+ DANP + Modified VIKOR) model to examine consumers’ adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option, but also use to identify and improve the performance gap of alternative products with the goal of satisfying the aspirations of consumers. Four types of mobile health care products were analyzed. The results indicate that social norms; product image; and consumer trust are three key factors in consumer adoption. The results can guide policy design and implementation. The government and enterprises should improve mobile health care through these three aspects.

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Section: Research Content and Frameworkmentioning

confidence: 99%

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

et al. 2019

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“…The CORE-attribute-based MCDM approach has been applied in several studies [20][21][22][23][24], which has gained rising interests in MCDM research.…”

Section: Rough Machine Learning Mechanismmentioning

confidence: 99%

“…The two training sets were analyzed by DRSA algorithm, as explained in Section 2.1. The DRSA models attempt to capture the imprecise patterns of FP changes based on fundamental analysis [22,23]; therefore, the raw financial data were transformed into the ordinal scale, to denote "Positive (POS)", "Neutral ( NEU )", or "Negative (NEG)" by comparing an All the financial data of the IC design stocks were retrieved from the TEJ [29] database. On the other hand, seven DMs from the same IC design company (named as NM in this study) were invited to provide their professional judgments (based on their experience and knowledge); three of the DMs work in the R&D department, and the other four work in the Product Management department.…”

Section: Forming the Hybrid Bipolar Decision Modelmentioning

confidence: 99%

“…The two training sets were analyzed by DRSA algorithm, as explained in Section 2.1. The DRSA models attempt to capture the imprecise patterns of FP changes based on fundamental analysis [22,23]; therefore, the raw financial data were transformed into the ordinal scale, to denote "Positive (POS)", "Neutral (NEU)", or "Negative (NEG)" by comparing an instance's raw figure, on the decision attribute (i.e., ROE), with the whole IC design industry at the same period. The top 1/3 and the bottom 1/3 were set as "POS" and "NEG", and the rest "NEU".…”

Section: Forming the Hybrid Bipolar Decision Modelmentioning

confidence: 99%

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Compromise between Short- and Long-Term Financial Sustainability: A Hybrid Model for Supporting R&D Decisions

Shen

2017

Sustainability

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Abstract:The debate of "short-termism" has gained increasing interests from various fields, ranging from management to economics; it mainly concerns the decisions or actions taken by businesses that might yield short-term returns at the cost of long-term value or sustainability. Previous studies have highlighted this dilemma faced by managers, mainly from the pressure of capital markets or short-sighted shareholders who crave for immediate financial outcomes; intelligent decision aids that can compromise between the short-and long-term financial sustainability, based on a company's policy, are highly needed. Therefore, the aim of this study is to develop a multiple-rule-based hybrid decision model to support management teams on prioritizing new R&D projects, considering the financial prospects in dual timeframes (i.e., short-and long-term) for sustainability. Furthermore, in the presence of business uncertainty and the limited knowledge of managers on new projects, the intuitionistic fuzzy technique is incorporated. A case of selecting new R&D projects for an IC design company is illustrated using the proposed approach, and the financial data from a group of public-listed IC stocks from Taiwan are inducted to form the decision model. The findings not only support the IC design company to select new projects but also provide business insights to facilitate the understandings of this controversial issue in managerial practice.

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“…Therefore, we further explored the relationship and degree among dimensions and criteria [13] [ [43][44][45][46][47][48][49][50] with respect to performance improvement. First, this study addressed both internal and external influence factors in consumers' adoption of mobile health care, applying literature analysis, discussion, and summarization.…”

Section: Research Content and Frameworkmentioning

confidence: 99%

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

Preprint

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IntroductionMobile health care is an important aspect of electronic medicine that involves using mobile devices (e.g., mobile phones, tablet computers, and personal digital assistants) to provide medical services and health information to patients [1]. Health care faces numerous problems, including high medical costs, restricted coverage, complex medical procedures, and uneven distribution of resources [2]. Mobile health care can help to reduce medical costs and waiting times and improve the efficiency of medical resources use [3]. Mobile health care involves the following categories [4]: (1) Mobile phone applications such as Chun Yu Yi Sheng, which acts as an information exchange platform linking doctors and patients, and comprehensive mobile health care platforms that hospital service providers can apply for appointment registrations, payments, and medical alerts. (2) The collection of users' medical data through wearable devices or mobile intelligent terminals for health monitoring. For example, Kangkang launched a portable intelligent sphygmomanometer that can dynamically monitor blood pressure over a 24-hour period and automatically send data to a corresponding server. Users can view their 24-hour blood pressure analysis report through WeChat. (3) Diagnosis systems that connect with the Internet of Things (IoT). For example, an integrated diagnosis system developed by German researchers can transmit medical data to smart phones through Bluetooth technology. Smartphones applications can then process these data for reference and diagnosis.With the development of mobile networks, many countries have entered the 4G era and benefit from continuously improving mobile communication networks and innovation in software and hardware technology. Abstract: Identifying the key influence factors of mobile health care adoption is a key issue. We established an evaluation index system for consumer adoption and verified the effectiveness of our model by using a DDANPMV model. This model comprises three parts: (1) the decision making trial and evaluation laboratory (DEMATEL) technique, which is used to establish an influence network relationship map at both the "dimensions" and "criteria" levels; (2) a DEMATEL-based analytic network process (ANP; DANP), which determines the interrelationships and influential weights among the criteria; and (3) a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which applies the influence weights obtained through DANP to performance gaps regarding consumer perception. VIKOR thereby evaluates and improves performance gaps with the aims of satisfying consumer needs, achieving continuous improvement, and enabling sustainable product development. The main innovation of this method is the construction of the DDANPMV model, which integrates the DEMATEL, DANP, and modified VIKOR approaches to examine consumers' adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option b...

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A new approach and insightful financial diagnoses for the IT industry based on a hybrid MADM model

Cited by 23 publications

References 46 publications

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

Compromise between Short- and Long-Term Financial Sustainability: A Hybrid Model for Supporting R&D Decisions

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

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