Maxwell K. Hsu

Maxwell K. Hsu

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Maxwell K. Hsu has a total of 41 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • The Independent Audit for Nonprofits: Does it Make a Difference?

    by Scott Dell, Meena Subedi, Maxwell K. Hsu, Ali Farazmand


  • Open Access

    Game Theory, Tourism and Land Ethics

    by Dennis A. Kopf, Maxwell K. Hsu

    This paper combines game theory with Land Ethics to demonstrate a path forward for sustainable development. Our findings indicate that two likely equilibria can be reached. One equilibrium focuses on high short-term profits, but with ecological damage leading to less cumulative profits. The second equilibrium requires ecological maintenance costs (thus less short-term profits) yet yields greater cumulative profits. The comparison of the two equilibria and using the historical perspective of the Wisconsin Dells demonstrates how communities that embrace a Land Ethic can reach the equilibrium that produces greater long-term benefits.


  • Open Access

    Support or Risk? Software Project Risk Assessment Model Based on Rough Set Theory and Backpropagation Neural Network

    by Xiaoqing Li, Qingquan Jiang, Maxwell K. Hsu, Qinglan Chen

    Software supports continuous economic growth but has risks of uncertainty. In order to improve the risk-assessing accuracy of software project development, this paper proposes an assessment model based on the combination of backpropagation neural network (BPNN) and rough set theory (RST). First, a risk list with 35 risk factors were grouped into six risk categories via the brainstorming method and the original sample data set was constructed according to the initial risk list. Subsequently, an attribute reduction algorithm of the rough set was used to eliminate the redundancy attributes from the original sample dataset. The input factors of the software project risk assessment model could be reduced from thirty-five to twelve by the attribute reduction. Finally, the refined sample data subset was used to train the BPNN and the test sample data subset was used to verify the trained BPNN. The test results showed that the proposed joint model could achieve a better assessment than the model based only on the BPNN.


  • Positive moods and word-of-mouth in the banking industry

    by Che-Hui Lien, Jyh-Jeng Wu, Maxwell K. Hsu, Stephen W. Wang

    Purpose: The purpose of this paper is to examine the mediating effect of functional value and symbolic value between positive moods and word-of-mouth (WOM) referrals in the context of Taiwan’s banking industry. In addition, this study investigates the moderating effect of relational benefits on the relationship between perceived value and WOM. Design/methodology/approach: The research model was tested using data collected from customers ( n =362) of the top 10 domestic banks in Taiwan. Structure equation modeling was employed to test and validate the conceptual model. Findings: Positive moods are found to be an important predictor of functional value, symbolic value and WOM in this banking service study. Four types of relational benefits are identified including social, special treatment, confidence and face. Note that two distinct segments of bank customers are identified in terms of relational benefits: those who appreciate face benefits ( n 1 =169), and those who appreciate general relational benefits ( n 2 =193). The findings reveal the existence of partial mediation between a banking customer’s mood and WOM through functional value and symbolic value in the overall sample ( n =362). However, it was found that functional value partially mediates the influence of positive moods on WOM among respondents in the “general relational benefits” segment only. That is, relational benefits are found to moderate the relationship between functional value and WOM. Originality/value: This study expands the existing body of knowledge on customers’ perceptions of value by differentiating types of value perceptions.


  • Unraveling the impact of destination reputation on place attachment and behavior outcomes among Chinese urban tourists

    by Lujun Su, Yinghua Huang, Maxwell Hsu

    Purpose: The impact of destination reputation on tourists’ behavior has not received sufficient attention in the tourism literature. Built upon the signaling theory and the well-documented stimulus-organism-response framework, the purpose of this paper is to propose and assess a theoretical model that captures relationships among destination reputation, place attachment, tourist satisfaction, and the search for alternative destinations.Design/methodology/approach: Using the covariance-based structural equation modeling technique, this study empirically tested the conceptual model with a convenience sample of Chinese tourists who visited a popular coastal urban tourism destination in China.Findings: Findings reveal that destination reputation positively impacts perceived place dependence, place identity, and tourist satisfaction. In addition, place dependence positively affects tourist satisfaction, but place identity has no significant impact on tourist satisfaction. As expected, tourist satisfaction negatively influences tourists’ search for alternative destinations; however, place identity positively influences tourists’ search for alternative destinations.Originality/value: Few studies in the tourism literature explore the role of destination reputation in the tourist decision-making process. The present study’s unique contribution lies in its examination of destination reputation on tourists’ behavior. In addition, this study includes the search for alternative destinations as an important behavioral outcome into the proposed model. Some tourists explore alternative destinations even though they are willing to revisit and spread positive messages about the destination they already visited. Therefore, the continuous searching behavior is worthy of investigation in tourism studies.


  • How does perceived corporate social responsibility contribute to green consumer behavior of Chinese tourists

    by Lujun Su, Scott R. Swanson, Maxwell Hsu, Xiaohong Chen

    Purpose: This study aims to examine consumption emotions and customer–company identification as mediating variables to explore the association of perceived corporate social responsibility (CSR) on green consumer behavior in a hospitality–lodging context. Design/methodology/approach: Using a stimulus–organism–response framework, an integrated model is developed. The hypothesized relationships of the research model are tested using the structural equation modeling technique. Data were gathered from hotel guests at a UNESCO World Heritage Site in China. Findings: Perceived CSR directly affects positive emotions, negative emotions and customer–company identification. Positive emotions significantly influence customer–company identification. Positive emotions and customer–company identification partially mediate the relationship between perceived CSR and green consumer behavior. Hotel type was not found to be a moderating factor. Research limitations/implications: Perceived CSR can act to influence consumers’ behaviors more broadly via an increased likelihood of engaging in green consumer behavior. Implementing CSR strategies at the company level may provide additional benefits to society as a whole. The proposed relationships need to be replicated in other service organizations, segments and cultures to better assess the generalizability of the findings. Originality/value: This study investigates the association between consumption emotions and customer–company identification, which has been missing in the tourism/hospitality literature. This study also extends previous CSR literature by examining the potential moderating role of hospitality type.


  • Government digital information discovery and exploration: the case of unraveling tourism-led-growth paradox in China

    by Maxwell K. Hsu, Junzhou Zhang, Yamin Ahmad

    Purpose: This study aims to examine the relationship between tourism development and economic growth while considering exports simultaneously. Governments in many countries have been developing and deploying strategies to attract tourism receipts as a means for economic growth. However, assessing the potential impact of tourism on economic growth among large economies is still in its infancy.Design/methodology/approach: Using a vector error correction model framework, this study examines the relationship among exports, gross domestic product (GDP) and tourism receipts (including international tourism receipts and domestic tourism receipts in two separate models) with macro data that covers two recent decades (1994-2013) in China.Findings: The empirical findings confirm the existence of a long-term equilibrium relationship in each of these two tri-variate models. The empirical findings reveal that (1) both tourism-led-growth and export-led-growth hypotheses are supported, (2) the growth rate of tourism receipts exhibit a higher relevance with GDP growth than export growth and (3) the growth rate of international tourism shows a higher relevance with GDP growth than domestic tourism growth.Originality/value: Using macroeconomic data collected by the Chinese government, the current study employs an advanced econometric methodology to explore the potential benefits of tourism on economic growth in China.


  • Open Access

    Reflective Learning in Business Education: A Replication in an Asian Context

    by Weiling Zhuang, Pinghui Zhu, Maxwell K. Hsu, Qian Xiao