Gwo-Hshiung Tzeng

• Distinguished Chair Professor at National Taipei University

A growing body of research has investigated the associations between the physical environment features of neighborhood parks (NPs) and seniors' attitudes, usage intentions or behavior in the parks. However, research to date has not produced sufficient knowledge about the causal relationships between the physical features of neighborhood parks and s...

While increasing scholarly research from various perspectives has affirmed the therapeutic role of urban green spaces for individuals with depression, there is a notable gap in understanding how different landscape features of these spaces can collectively create a soothing and healing environment. The objective of this study was to quantitatively...

The emergence of Artificial-Intelligence Generated Content (AIGC) has subverted the development of the creative industries causing an enormous impact. The e-commerce business (ECB), which has always relied heavily on emerging technologies, will focus on how to adopt AIGC quickly and effectively. However, the development of innovative technologies i...

Unmanned Aerial Vehicle (UAV) swarm can not only carry out tasks in dangerous or inaccessible areas, but also reduce the cost and simplify the manpower required. Multiple criteria decision making (MCDM) is rarely used to explore UAV swarm; therefore, the purpose of this research is to construct a decision model for evaluating and improving criteria...

A broad range of companies around the world has welcomed artificial intelligence (AI) technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their operations and assists them in formulating appropriate strategies without any hysteresis. This research identifies the essential components of A...

The transit-oriented development (TOD) and arts and culture-led urban development (AUD) have been evolved as two of primary strategies for sustainable urban revitalization. Ex-ante sustainability evaluation has emerged as a crucial procedure in the field of urban renewal to prevent non-sustainable redevelopment projects. However, in the ex-ante eva...

In recent years, many cultural districts have become increasingly unsustainable due to the neglect of physical environment quality. Hence, researchers have thoroughly investigated the close relationship between the physical environment quality of cultural districts and creative workers' sense of identity in creative and cultural districts (CCDs). H...

In recent years, with the development of ’China’s new urbanization, the “characteristic town movement” with the development of industrial economy first has brought problems to a large number of rural settlements, such as no cultural planning, no consumption of industry, and no soul. Then, in reality, there are still a large number of rural settleme...

In the family-owned traditional manufacturing businesses, the intricate required competencies and traits of a successful successor resulting in ineffectual acquirement of competent successors could be regarded as one of the main reasons of predicament of inefficient succession. The issues of selecting and training a competent successor should be cl...

Online shopping is becoming more prevalent, with consumers turning to e-commerce platforms to search for information about the goods and services they need. Users will usually check other consumer reviews on the platform as a reference while shopping. Online retailers can collect and analyze these online reviews to monitor consumer opinions about p...

Research on mean–variance portfolio optimization (MVPO) has made significant progress in the application of advanced solution algorithms or multiple criteria decision-making methods to achieve superior outcomes. However, there is little specific guidance on how to approach individually preferred optimization bounded by rationality. Therefore, the m...

Wealth management services for high-net-worth individuals in Taiwan have grown rapidly over the last decade. This study used a decision-making trial and evaluation laboratory approach to identify the criteria affecting the performance of Taiwan wealth management banks during the coronavirus disease (COVID-19) period. This research surveyed 17 execu...

Biometrics has been developing for decades in diverse industries, such as consumer electronics, internet of things, financial industry, etc. The purpose of this research is to build a decision-making model to evaluate and improve the performances of biometrics for administrators to design and make suitable biometric systems. This paper adopts a hyb...

Sustainable urban renewal has received tremendous academic attention and has been put into wide practice around the world. In order to avoid unsustainable renewal projects, the evaluation of the sustainability of urban renewal has become a critical procedure. However, there is an insufficient number of relevant studies on ex-ante evaluation compare...

The spread of COVID-19 has triggered one of the largest pandemics in modern human history. Humanity is still in the incomplete information period for this infectious disease, and how to effectively deal with such a major public crisis is a crucial problem. Although there are divergences in human natural semantics, the incomplete information increas...

In the Internet era, the competitiveness of global building design smart technologies continues to increase, inevitably forcing smart building design to re-examine the application of smart systems, the development and evaluation of indicators, including the evaluation of biometric systems, radio frequency technology systems and digital cryptography...

The global economy has been hit by the unexpected COVID-19 outbreak, and foreign investment has been seen as one of the most important tools to boost the economy. However, in the highly uncertain post-epidemic era, determining how to attract foreign investment is the key to revitalizing the economy. What are the important factors for governments to...

The 2019–2020 COVID-19 pandemic has caused an economic turndown and high volatility in the global financial markets. Determining the factors that influence services to high-net-worth customers who typically have large investments in the financial markets is important for wealth management banks. This study constructs a hybrid approach by integratin...

The effectiveness of the national/regional healthcare system is one of the keys to prevent the spread of COVID-19. In the face of this unknown pandemic, where the healthcare system should continue to be promoted and improved are crucial decision issues. In the past, most studies have used the subjective opinions of experts for analysis and decision...

Identifying relevant location determinants is a good starting point for shop operators, help to increase profitability and, thus, avoiding business failure. Traditional Analytic Hierarchy Process (AHP) or the Analytic Network Process (ANP) have shortages that require improvement. Herein, Decision-Making Trial and Evaluation Laboratory (DEMATEL), AN...

Several methodologies for academically exploring causality have been addressed in recent years. The decision-making trial and evaluation laboratory (DEMATEL), one of the multiple criteria decision-making (MCDM) techniques, relies on expert judgements to construct an influential network relation map (INRM), revealing the mutual causes and effects of...

A primary reason for the failure of renewal plans for the heritage of urban areas is ignorance of the risk factors of tourism. Urban heritage sites are valuable tourism resources and focus on tourism activities. These sites are affected by risks and negative events. Assessing tourism risks requires an in‐depth knowledge of the current situation. Th...

Global warming and extreme weather have increased most people’s awareness of the problem of environmental destruction. In the domain of sustainable development, environmental governance has received considerable scholarly attention. However, protecting and improving the environment requires not only substantial capital investment but also cooperati...

The complex problem of risk factors has greatly increased globally due to the quick ever-changing digital era. The development of suitable techniques for facilitating the performance of risk management in the financial service domain is thus an urgent task, especially in today’s highly turbulent business environment. The development of such techniq...

Due to the unbalance between Asian and Western countries in terms of higher education development and pressure from global competition, universities in several East Asian countries have striven to become world-class universities (WCUs) by actively assessing themselves using various global ranking systems and subsequently investing in key performanc...

Although certain countries have proposed revitalization to address the issue of inefficient industrial parks in recent years, there is little research exploring the causes of inefficient industrial parks—although this would help in formulating improvement strategies and further resource allocation. This study presents an evaluation framework for th...

The effective identification of critical failure modes of individual equipment components or processes and the development of plans for improvement are crucial for the manufacturing industry. Recently, the failure modes and effects analysis (FMEA) approach based on multiple criteria decision making (MCDM) has been utilized effectively for the asses...

In today’s big-data era, enterprises are able to generate complex and non-structured information that could cause considerable challenges for CPA firms in data analysis and to issue improper audited reports within the required period. Artificial intelligence (AI)-enabled auditing technology not only facilitates accurate and comprehensive auditing f...

When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help man...

With the expansion of urbanization caused by the growth of population and industrial activities, the urban/city and suburban areas are facing a variety of environmental threats. Although more research and urban policy has advocated and practiced the development of green infrastructure (GI) to support urban sustainable environment, the evaluation fr...

Personnel selection and human resource improvement are characteristically multiple-attribute decision-making (MADM) problems. Previously developed MADM models have principally depended on experts’ judgements as input for the derivation of solutions. However, the subjectivity of the experts’ experience can have a negative influence on this type of d...

This paper proposes fuzzy integral-based decision methods to identify the core factors and their relationships for smart homes product improvement. The dominance-based rough set approach was used to retrieve core attributes and obtain rough knowledge-based rules. The decision-making trial and evaluation laboratory (DEMATEL) technique was used to bu...

Search engine optimization (SEO) has been considered one of the most important techniques in internet marketing. This study establishes a decision model of search engine ranking for administrators to improve the performances of websites that satisfy users’ needs. To probe into the interrelationship and influential weights among criteria of SEO and...

Approaches to risk assessment for the protection and management of critical infrastructures must continue to evolve to address uncertainty and hazards that may be encountered in the future. Extreme climate change and accidents arising from human activity increasingly threaten critical infrastructures. There are two vital issues to consider when pro...

The potential evaluations of land consolidation projects (LCPs) are core in ex-ante evaluations to ensure that resource allocations are effective for achieving sustainable development. There are some problems with the unrealistic assumptions of the real world in these evaluations, such as the assumed independence of the criteria/dimensions in real-...

Multi-attribute decision-making (MADM) is the most commonly used methodology for green supplier evaluation and performance improvement. Previous MADM models have mainly relied upon the knowledge and opinions of domain-experts as the starting point for making decisions. However, the results are affected by the subjectivity of these judgments and kno...

Governments worldwide are cognizant of the deficiencies of measuring quality of life according to gross domestic product; consequently, they have created indicators of citizen well-being that can be applied in governmental policy. To improve citizens’ lives, governments should create an environment with maximal quality of life, ideal material livin...

This study proposes a novel multiple rule-base decision-making (MRDM) model to transform the current bipolar model into a multi-graded one based on the theoretical foundation of rough set approximations. In the existing bipolar model, the decision class (DC) comprises only three classes: positive, others, and negative ones, and the induced positive...

Most of the baby boomers born after the Second World War (WWII) have passed the age of 65, meaning they have gradually lost their social functions and positions, and are facing the need for care. In Taiwan, the lack of a long-term care mechanism is having a certain degree of impact on society as a whole, and thus, it is important to have a mechanis...

This paper discusses a previously published paper titled “sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: A case study in small-and-medium enterprises (SMEs)”, by Zhou et al. (2018). Authors of the aforementioned paper have discussed sustainable recycling partners for SMEs and contributed to the multiple-criteria decision-ma...

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; s...

While the importance of corporate governance has been broadly acknowledged in global financial markets and academic research, how to devise a practical evaluation system is relatively unexplored. This paper attempts to refine the Corporate Governance Evaluation System (CGES), constructed by the Taiwan Stock Exchange (TWSE) since 2014. The current C...

Climate change-related anomalies have increased public concern regarding environmental protection. This has opened newer rural development avenues. In this regard, livability of villages is crucial; it can be evaluated based on the villagers’ quality of life (QoL). The WHOQOL-BREF, a comprehensive cross-cultural and cross-disciplinary scale propose...

While CPA (Certified Public Accountant) firms utilize cloud auditing technologies to generate auditing reports and convey information to their clients in the Internet of Things (IoT) Era, they often cannot determine whether cloud auditing is a secure and effective form of communication with clients. Strategies related to cloud auditing provider eva...

While the importance of corporate governance has been broadly acknowledged in global financial markets and academic research, how to devise a practical evaluation system is relatively unexplored. This paper attempts to refine the Corporate Governance Evaluation System (CGES), constructed by the Taiwan Stock Exchange (TWSE) since 2014. The current C...

Internet of things (IoT) can provide an extensive scope of services via smart devices to promote the convenience of life. With advances being made in smart phones, enterprises are increasingly considering expanding their customer base through mobile commerce services. To promote m-commerce improvement, enterprises should organize an excellent m-com...

In the recent years, various statistical and computational intelligence or machine learning techniques have contributed to the progress of automation or semi-automation for measuring consumer credit scoring in the banking sector. However, most of the Taiwanese commercial banks still rely on seasoned staffs' judgments on making the final approvals o...

With the surging complexity of real-world problems in important domains such as sustainability, there is a need to leverage advanced modern computational methods or intelligent techniques to support decisions or policy-making. In this Special Issue, 15 selected and formally peer-reviewed papers contribute their novelty and findings, by applying var...

UNSTRUCTURED Identifying the key influence factors of mobile health care adoption and improving alternative mobile health services continuously can help ordinary consumers (especially vulnerable populations) use extensive health resources cheaply and conveniently, and then increasing the quality and equity of health services. We established an eval...

With the growing prevalence of mobile devices, the use of near-field communication (NFC) technology has increased constantly in recent years. Scholars expect NFC technology to be used to develop new campuses with sustainable education environments for safely transferring information or services. In campuses, the decisions to adopt NFC technology co...

Decision-Making has become more complicated in the presence of multiple attributes under imprecise and uncertain information in the modern business environment. Conventional multiple criteria decision-making (MCDM) research usually consider a set of determined attributes and several alternatives, whereas decision makers (DMs) or experts have to eva...

With globalization, the notion of “creative city” has become a core concept of many cities in the world development policies, with real properties being upgraded or used to change, renewal is being conducted, and creative industries are emerging. This trend has reached its peak in the past decade, with different forms and scales gathering global de...

The influence and importance of research and development (R&D) for business sustainability have gained increasing interests, especially in the high-tech sector. However, the efforts of R&D might cause complex and mixed impacts on the financial results considering the associated expenses. Thus, this study aims to examine how R&D efforts may influenc...

When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can...

Recently, a novel bipolar model [1-2] has been proposed for ranking decisions, to solving data-centric problems, which is based on the theoretical foundation of rough set theory [3-4] (RST) and dominance-based rough set approach (DRSA) [4-6]. DRSA and related algorithms can generate a group of logical rules for decision aids, also termed as multipl...

The modern business environment is full of uncertain and imprecise circumstances that require decision makers (DMs) to conduct informed and circumspect decisions. In this regard, rough set theory (RST) has been widely acknowledged as capable to resolve these complicated problems while relevant knowledge can be extracted—in the form of rules—for dec...

Because gross domestic product is a deficient measure of well-being, designing well-being indicators has become a new international trend for informing government policies to better citizens’ lives. To facilitate achieving this goal, governments must establish sustainable, sufficient material living conditions and quality of life and attempt to und...

DEMATEL technique is a useful tool for understanding the influential relationship be­tween criteria of a systematic problematique in structural modeling, and has received much atten­tion in the field of decision analysis recently. However, the past papers focused on the applications of DEMATEL technique and ignored the convergence problem of the ap...

Background As a new application technology of the Internet of Things (IoT), intelligent medical treatment has attracted the attention of both nations and industries through its promotion of medical informatisation, modernisation, and intelligentisation. Faced with a wide variety of intelligent medical terminals, consumers may be affected by various...

With the global trend of population aging, how to integrate the health needs of elderly people into public open space (POS) development while taking into account public interest is a major challenge in the 21st century. Although the issues of elderly people’s health and their POS needs are receiving increasing attention, research on continuous impr...

Financial modeling for the life insurance industry involves two main difficulties: (1) Selecting the minimal and critical variables for modeling while considering the impreciseness and interrelationships among the numerous attributes and (2) measuring plausible synergy effects among variables and dimensions that might cause undesirable biases for a...

This study proposes a bipolar model for resolving multiple criteria decision-making (MCDM) problems, based on the integration of rough set theory and three-way decisions, for forming a hybrid bipolar model. It begins by dividing a decision space into three disjoint regions: negative, neutral, and positive states; in the next, a rough set theory bas...

In the Internet of Things era, panel displays play a major role in human life, because humans frequently use liquid crystal displays to monitor their electrical devices. The display industry creates remarkable economic output, but every manufacturing process inevitably has some undesirable effects on the environment. With the increasing awareness o...

Nearly all companies need to retrieve valuable information from business data to increase its efficiency or value, and the rising interests of research in this domain could be named as business analytics. Because most of problems (obstacles) faced by business have to consider a group of complex and interrelated factors, conventional statistics mode...

Digital music services have provided more and more digital contents and service styles. The number of people paying to download music is on the rise. Digital music files, mainly in MP3 format, have become widespread on the internet. Downloading digital products for free may harm creators and music publishers, because it is very easy to obtain free-...

A better-performing project gains more subsequent businesses. Many organizations worldwide apply an earned value management (EVM) system to monitor and control their projects’ performance. However, a successful EVM application requires handling multiple interinfluenced criteria with feedback effects for decision-making and continuous improvements t...

The stock selection problem is one of the major issues in the investment industry, which is mainly solved by analyzing financial ratios. However, considering the complexity and imprecise patterns of the stock market, obvious and easy-to-understand investment rules, based on fundamental analysis, are difficult to obtain. Therefore, in this paper, we...

Dominance-based rough set approach (DRSA) has been adopted in solving various multiple criteria classification problems with positive outcomes; its advantage in exploring imprecise and vague patterns is especially useful concerning the complexity of certain financial problems in business environment. Although DRSA may directly process the raw figur...

The goals of traditional decision making could be simplified in several categories: ranking, selection, and optimization. A typical Multiple criteria decision making (MCDM) problem usually begins with identifying the goal and the related criteria, attributes, or constraints to reach it; in the next, researchers have to collect the preferences of th...

This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods to guide semiconductor companies to improve financial performance (FP) – based on logical reasoning. The complex and imprecise patterns of FP changes are explored by dominance-based rough set approach (DRSA) to find deci...

Urban blight issues have transformed over time. Today, the focus is on the social context and such services as recreation and leisure. Considering that the insufficiency of leisure spaces in blighted urban neighbourhoods gives rise to social and cultural problems in Tehran, this research aims to identify the best leisure space in a blighted urban s...

To support investment decision based on technical analysis (TA), this study aims to retrieve the knowledge or rules of various indicators by a hybrid soft computing model. Though the validity of TA has been examined extensively by various statistical methods in literature, previous studies mainly explored the effectiveness of each technical indicat...

The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the f...

As mobile commerce (m-commerce) has continued to grow via advancements in wireless and mobile technology, the issue of m-commerce has become more significant. To improve m-commerce adoption, companies should establish a perfect m-commerce environment and learn to understand consumer needs. This paper proposes an evaluation model for m-commerce that...

Containership capacity allocation is an important issue since liner companies must avoid unused space on a voyage to maximize their revenue. Therefore, in the face of uncertain cargo demand and fiercely competitive markets, liner carriers build revenue management systems to maximize voyage profits through careful consideration of slot allocation an...

Financial performance is vital for information technology (IT) companies to survive intense global competition. Because of the complexity in the business environment and the rapidly advancing technologies, companies lack specific guidance to understand the implicit relationship among crucial financial indicators for improving prospects in a context...

The aim of this paper was to evaluate the risk level for both intra-organizational cultures and for different industries in implementing an enterprise resource planning (ERP) system. This study adopts the Fuzzy Analytic Network Process (FANP) method to assess ERP implementation risks, which were categorized into four dimensions: management and exec...

Purpose – The invention and use of mobile commerce (m-commerce) technology have progressed in recent years. In small to medium-sized enterprises (SMEs), the decision to implement business-to-business m-commerce is a multiple-criteria decision analysis problem that involves both qualitative and quantitative factors, and its evaluation may be based o...

To support investment decision based on technical analysis (TA), this study aims to retrieve the knowledge or rules of various indicators by a hybrid soft computing model. Though the validity of TA has been examined extensively by various statistical methods in literature, previous studies mainly explored the effectiveness of each technical indicat...

Greening the supply chain is an increasingly important concern for many business enterprises and a challenge for logistics management. Critical functions within green supply chain management are internal improvements and selection of green suppliers. This study proposes a novel, hybrid model that addresses dependent relationships between various cr...

The development of mobile devices (such as mobile phone) has moved into fast pace and provides multiple-functions (such as camera and GPS) and works more like a personal computer in now a days. In this study, we intend to explore the features and services needs for the next generation mobile navigation devices. In order to find future strategy for...

This study aims to retrieve useful knowledge from commonly adopted technical indicators, based on a soft computing model, to support investment decisions. Though the validity of technical analysis (TA) has been examined extensively by various statistical models in financial literature, a practical approach that may consider the inconsistency among...

Research and development (R&D) is inherently important to high-tech industry, such as semiconductor companies. However, the complex and ambiguous relationship between R&D and the subsequent financial performance varies and is still under-explored. Previous studies based on statistical analyses are not able to provide individual guidance considering...

Technological and Economic Development of Economy, Accepted (Nov. 15, 2014) COMBINING DRSA DECISION-RULES WITH FCA-BASED DANP EVALUATION FOR FINANCIAL PERFORMANCE IMPROVEMENTS Abstract. This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods—to guide semiconductor companie...

This study attempts to diagnose the financial performance-improvement of commercial banks by integrating suitable soft computing methods. The diagnosis of financial performance-improvement comprises of three parts: prediction, selection and improvement. The performance prediction problem involves many criteria, and the complexity among the interrel...

Because of the increasing number of scuba divers worldwide, satisfaction and safety issues are crucial for success in the tourism industry. This study established characteristics of scuba diving guides to achieve diver safety along with the environmental impact concerns related to this activity. A hybrid MCDM model was used to address dependent rel...

The use of rule-based model for solving MCDM problems has been widely applied in various fields, such as engineering, marketing, and finance. And the adoption of dominance-based rough set approach (DRSA) has ad-vantages in generating understandable decision rules with reduced attributes, which is useful while facing complex decision problems. DRSA...