Barriers toward purchasing from online travel agencies

Online travel agencies (OTAs) are expanding their services to many segments of the travel and tourism industry. While they are beneficial to travelers, OTAs also face a great deal of consumer resistance. However, prior literature has largely focused on travelers’ adoption intentions toward OTAs, scarcely exploring the causes of such resistance. Addressing the gap, this study extends the innovation resistance theory (IRT) to examine the barriers to positive purchase intentions toward OTAs. A mixed method research design with open-ended essays and cross-sectional survey is used to test the proposed model. Findings suggest that benefits barrier is the chief inhibitor of purchase intentions. In comparison, privacy and security concerns and the vulnerability barrier show positive association with intentions. As a moderator, visibility influences the strength of the association between benefits barrier and purchase intentions. Further, the strength of this association differs among young, middle-aged, and old users.     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

组织认同感与离职倾向关系研究

通过18家企业的358份样本进行分析,对组织认同感量表进行本土化修订,在此基础上考察组织认同感与离职倾向间的相关关系,并对可能的调节变量进行验证。研究结果显示,组织认同感包含忠诚、成员身份和相似性三个维度,组织认同感对离职倾向具有负向的预测效果,环境机会的调节作用不明显。通过强化员工的组织认同感,企业可以有效地减少其离职倾向。     

Index Revision,House Price Risk,and the Market for House Price Derivatives

It is widely recognized that options and futures markets for housing can reduce and manage the risks inherent in consumers’ large investments in housing equity. The integrity of such markets depends, however, upon the use of transparent and replicable benchmarks for house prices and settlement values. In the USA, a series of state and metropolitan indexes have been produced by a government agency (the US Office of Housing Enterprise Oversight, OFHEO), and they have been widely disseminated for over a decade. By construction, the entire historical path of each of these indexes is, in principle, subject to revision quarterly, that is, every time the index is recalculated and data are published. This paper provides the first analysis of the magnitude and bias of these revisions, and it analyzes their systematic effects on the settlement prices in housing options markets. The paper considers the implications of these magnitudes for the development of risk-reducing futures markets.

一种新的利用网络爬虫技术的土地价格指数编制方法

研究目标：目前有关中国土地价格指数的研究没有考虑不可观测特征的影响,本文给出一种可以控制不可观测特征的土地价格指数编制方法。[HTH]研究方法：通过结合传统的特征价格模型和重复交易模型,提出固定地理单元并利用组内差分以控制地块不可观测特征,提出了一种新的土地价格指数编制方法。[HTH]研究发现：[HTF][STBZ][WTBZ]以上海为例讨论了分类土地价格指数,研究发现从2008~2015年,上海同质住宅用地价格上升了359.92%,同质工业用地和商服用地价格的涨幅分别为101%和107%。[HTH]研究创新：利用网络爬虫技术收集微观土地交易数据,为指数的编制提供了数据基础。[HTH]研究价值：该方法能够捕捉地块所在的特殊位置对于其价格的影响。     

科技人才组织领地行为如何影响其离职意向

基于资源保存理论视角,以科技人才为研究对象,关注其组织领地行为对离职意向的影响机制,并探究心理所有权的中介作用、婚姻的调节作用以及婚姻与心理所有权共同产生的被调节的中介作用。建立基于科技人才婚姻情况与心理所有权的被调节的中介作用模型,运用问卷调查方法收集全国各地高新技术企业、高等院校、科研院所等科技人才共411份有效问卷,展开实证分析。结果表明：不考虑婚姻的调节作用时,科技人才组织领地行为对离职意向的直接影响不显著,心理所有权对这种直接影响也无中介作用;考虑到婚姻的调节作用,未婚群体的组织领地行为越强,离职意向越强烈;在被调节的中介作用模型中,婚姻状况在心理所有权对组织领地行为与离职意向间的中介作用起到了调节作用,具体表现为未婚群体组织领地行为通过组织心理所有权的部分中介作用负向影响离职意向,通过直接影响机制正向影响离职意向。     

How virtual reality influences travel intentions: The role of mental imagery and happiness forecasting

Virtual reality can influence consumer behavior in powerful ways, but in the domain of tourism marketing, less is known about the psychological process. One possibility is that VR has stronger impact on mental imagery than traditional channels, creating vivid simulations of what it would be like to visit destinations. This process might create hedonic expectations of future happiness, which should increase the willingness to actually seek out the destination in real life. The results from a laboratory experiment provided support to this hypothesis. Participants were randomly assigned to view a nature destination either in traditional still images or virtual reality, and then reported their initial responses before making an actual consumer choice. VR exposure led to higher levels of mental imagery and happiness predictions, which in turn was associated with stronger travel intentions and purchasing decisions. However, VR effects on consumer choice were moderated by previous experience with the destination.     

The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types

While artificial intelligence products are widely used in the market, their anthropomorphic appearance design is becoming a frontier issue in product strategy and consumer behavior research. The aim of this study was to investigate the influence of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. It was conducted in China, a new but rapidly-growing country in the field of Internet, AI technology and AI product consumption. This study conducted four situational experiments with a 2 (anthropomorphic design: anthropomorphic vs. non-anthropomorphic) × 2 (product type: hedonic vs. utilitarian) between subjects’ experimental design. Data was collected from 1172 Chinese “Digital Natives” by using a structured questionnaire. The findings revealed that for hedonic AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived entertainment, and intelligence level significantly moderates the mediating effect of perceived entertainment; while for practical AI products, anthropomorphic appearance improves consumers' purchase intention and brand evaluation through perceived usefulness, and intelligence level does not significantly moderate the mediating effect of perceived usefulness. There is no significant moderating effect of intelligence level on perceived usefulness. The study contributes to development and validation of a more comprehensive understanding and theoretical foundation of anthropomorphism, and furthermore explores the impact of anthropomorphic appearance on consumer behavior and brand evaluation under different AI product types. This study also provides insights for companies to apply anthropomorphic strategies.     

Website quality and users' intention to use digital libraries: Examining users’ attitudes,online co-creation experiences,and eWOM

This research aims to examine how the website quality affects the intention of digital library users to use the website by considering factors of user's attitudes, online co-creation experiences, and electronic word-of-mouth. The statistical population of the research is composed of the users of Astan Qods Razavi digital library, which is one of the oldest digital libraries in Iran. Data was collected from 402 participants who use the library and analyzed in SPSS and PLS softwares. Construct validity was assessed and confirmed using convergent validity and divergent validity. Data reliability was assessed and confirmed using Cronbach's alpha and composite reliability. The research confirms that website quality affects the attitudes of users towards the website and their intention to participate in online co-creation and eWOM. The effects of user's attitudes to the online co-creation experience, eWOM, and intention to use the library, as well as the effects of the online co-creation experience and eWOM on the intention to use the digital library were also confirmed. Considering the results of the research, it is recommended to digital libraries to provide an efficient user-friendly website designed to increase user participation and establish close contact with them and in this way increase their intention to use digital library services.     

公众参与纳米技术风险沟通意向认知因素实证研究

公众参与纳米技术风险沟通的行为意向有一定的认知基础。将传统技术风险认知评价模型构成分为科学素养维度、信息感知维度和信任维度3个层面,衡量公众纳米风险认知程度,并构建了公众参与纳米技术风险沟通意向概念模型。通过对调研数据进行Smart分析,获得了公众参与意向的影响因素路径模型,验证了公众对纳米技术的风险认知与公众参与纳米技术风险沟通意向之间的关系假设,可为纳米风险治理中有针对性地提高公众参与度提供理论支持。