物流信息技术采纳对在线外卖平台消费者订购意愿的影响研究

从用户信息技术采纳视角,基于O2O在线外卖平台物流信息系统特性,分析其对平台用户订购意愿的作用路径.将经典的信息技术接受模型(TAM)与用户信任理论相结合,在外卖平台物流信息质量、点餐系统特点、物流功能模块与消费者个体特征分析的基础上,构建了考虑平台信任因素的在线外卖用户物流技术感知对其订购意愿影响机制模型.研究结果表明:外卖平台点餐系统的物流功能,用户的个体特征均对提升顾客的服务感知有显著影响;而订餐中的物流信息质量虽然能显著影响用户对平台技术感知的有用性,但却对加强消费者技术易用性的感受无明显效果;平台情感信任则正向调节了用户技术接受与其订购意愿间的作用关系.并结合美团和饿了么等平台的实证案例,给出了促成消费者重购行为的对策和建议.     

互联网环境下消费信贷行为研究

采用结构方程建模方法,实证分析了感知易用性、感知有用性、感知风险、信用卡效应及使用的态度与互联网环境下消费者使用信用卡支付的意愿之间的作用路径关系,从而建立了互联网环境下消费信贷行为影响因素的概念模型．研究表明,除感知风险与使用的意愿之间存在负相关关系外,其余四个因素与使用的意愿之间均存在正相关关系,其中使用的态度对使用的意愿的影响最大．     

危机企业网络互动对信任修复效果影响研究

近年来,各行业被曝光的产品伤害危机事件层出不穷,事件一旦发生极易对产品品牌以及企业声誉造成巨大的损害。本论文以此为背景探究危机后企业网络互动与消费者信任修复效果间的关系,通过实证分析验证了企业在产品伤害危机事件后与消费者的网络互动将显著提升信任修复的效果,同时验证了消费者感知的负面情绪及风险程度在上述关系中的中介作用,分析了产品伤害危机类型在网络互动对信任修复效果的调节作用。论文的研究为企业应对产品伤害危机提供了有效的解决途径。     

运动健身类APP用户持续使用意愿影响因素的研究

移动数字时代的到来,人们更习惯借助手机软件进行随时随地健身.运动健身类APP市场竞争愈发激烈,要想在市场上立足,留住老用户与吸引新用户同样重要.针对APP用户的使用感知和满意度等展开问卷调研,通过构建结构方程模型对用户持续使用意愿的影响因素进行了实证研究.结果表明感知易用性对满意度产生显著影响,感知有用性和满意度均对用户的持续使用意愿产生显著影响.     

基于特定群体的移动商务消费者信任影响因素分析

消费者信任是影响移动商务发展的关键因素,针对国内移动商务发展的现状,构建了以高校大学生为研究对象的移动商务消费者信任影响因素模型,模型包括消费者个人、产品、移动商家、移动技术、网站媒介以及制度保障6个方面的内容,并据此设计了网络调查问卷,累计收集了219份有效数据.实证分析表明:对高校大学生而言,移动终端设备的易用性是影响消费者信任最关键的因素,其次是消费者对移动互联网和移动商家的熟悉程度,第三是移动商务产品的价格差异;最后根据数据分析结果提出了改善移动商务消费者信任的建议.     

信任和感知风险对消费者网络购买意愿的实证研究

网络购物作为一种新的营销渠道,为消费者提供丰富的商品信息和个性化服务,允许消费者随时随地进行购物。但相对我国数量巨大的网民而言,网络购物的使用率还很低。感知风险和信任缺失被认为是阻碍网络购物发展的主要因素。基于感知价值模型,构建了消费者网络购买意愿影响因素的概念模型。并采用线上问卷的方法获得中国网络消费者的调研数据,使用结构方程模型分析了信任、感知风险和感知收益等变量对网络购买态度和意愿的影响,验证了提出的基本假说。同时对比分析有无购物经验的消费者在感知风险、网络购买意愿等方面的差别,研究结果表明,有购物经验的消费者在进行网络购物时比较看重感知收益,而对于潜在的消费者来说,感知风险是影响其购买态度和意愿的重要因素。     

虚拟社区旅游体验分享行为的影响因素研究——基于TAM模型改进的PLS-SEM测度

通过对技术可接受性模型的改进,运用PLS-SEM模型对影响旅游体验分享意愿的因素进行路径分析.基于220个有效样本的标准化处理,结果发现:分享态度与旅游虚拟社区体验分享意愿存在显著的正相关,感知易用性和有用性的影响作用在弱化,虚拟社区与现实社区的交融造成主体对于风险性和社区作用的忽略.反之,激励作用则成为影响分享意愿,左右分享行为发生的重要因素.     

e-服务质量决定因素与测量模型研究

本根据传统环境下的SERVQUAL模型、技术采用模型和自服务技术理论，识别出了e-服务质量的决定因素，并提出研究模型及相应的假设。实证检验结果表明：信任、易用性、反应性和可靠性是e-服务质量的决定因素。其中，信任的影响作用最大，其次是易用性、反应性，可靠性的影响较小。在此基础上，明确了每个因素的测量项目。建立了测量模型。     

基于VFT的在线旅游网站消费者购买决策指标体系研究

在国内外学者的研究基础之上,从用户感知价值的角度出发,通过价值焦点思维决策方法(VFT-Value Focused Thinking),研究在线旅游网站消费者购买决策的影响因素,通过对价值目标的归纳、分类,从网站功能价值的感知、网络环境价值的感知、产品/服务价值的感知、供应商价值的感知、消费者本身价值体验这五个方面出发建立价值模型,形成指标体系,并针对价值模型进行分析讨论,可为旅游电子商务企业优化提供参考.     

不同禀赋农户对信息服务技术采纳行为的对比分析

首先指出了农村地区存在的信息化不平衡现象,并提出需要针对不同农户的禀赋特征研究他们的采纳行为.为了研究不同禀赋农户的采纳行为,结合层次聚类和K-均值聚类,根据学历、收入和农地大小将农户分为高禀赋和低禀赋两组,利用扩展的技术接受模型研究了不同禀赋农户对于短信定制服务的采纳行为.研究结果表明低禀赋农户更容易受到可试性、感知易用性和成本的影响,而主观规范、网络外部性和感知有用性对不同禀赋农户的影响并没有显著区别.     

Application of structural equation modeling to evaluate the intention of shippers to use Internet services in liner shipping

Operations research (OR) is the application of modeling techniques to formulate and analyze systems and problems for management decision-making. Structural equation modeling (SEM) is a modeling technique applied to social or behavioral systems to understand and explain relationships that may exist among elements of systems. Recently, the measurement of unobservable variables has gained increasing attention in operations management (OM) research, and the OR discipline has begun to recognize the value of applying SEM to analyze behavioral-related OR problems. To provide OR researchers with a better understanding of the application of this useful statistical modeling technique, this paper presents a tutorial on the application of SEM. Specifically, we investigate the key factors that affect the adoption of Internet services in the context of liner shipping services. Although [Fishbein, M.A., Ajzen, I., 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA; Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3), 319–339; Ajzen, I., 1985. From intention to actions: A theory of planned behavior. In: Kuhl, J., Bechmann, J. (Eds.), Action Control: From Cognition to Behavior. Springer Verlag, New York, pp. 11–39; Ajzen, I., 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50, 179–211] have made important contributions to understanding users’ behavior of technology acceptance, shippers’ resistance to end-user systems is still a common problem in the liner shipping industry. To better predict, explain, and increase shippers’ acceptance of technology, we need to understand why shippers accept or reject Internet services provided by their liner shipping carriers. Another objective of this paper is to propose and empirically test a theoretical framework that relates the intention of shippers to use Internet services in liner shipping with its antecedents such as perceived usefulness, perceived ease of use, and the perceptions of security protection. Tests of the structural model confirm Davis’s (1989) notion that perceived ease of use explains the intention of shippers to use Internet services, and that perceived ease of use has a strong positive effect on perceived usefulness. The results also indicate that security protection influences perceived ease of use. The SEM analyses in this study offer OR researchers a methodological guide on how to assess the efficacy of both a measurement model that relates observed indicators to latent factors and a structural model that poses relationships between constructs.     

基于TAM理论的顾客心理契约形成机理研究——B2C情景下的实证研究

基于TAM理论研究了B2C情景下顾客心理契约的形成机理。通过相关文献评述,提出了B2C情景下顾客心理契约形成机理模型及假设,通过实证分析验证模型及假设。结果表明:感知易用和感知风险对感知有用具有显著的影响作用;感知有用以及感知易用通过顾客价值观/态度对顾客心理契约具有显著的影响;同时,感知风险和感知易用对顾客心理契约具有显著的直接影响作用。研究结论对B2C情景下服务商保持和维护客户关系具有积极作用,为网络商家建立积极地调控干预机制,促进顾客心理契约正效应感知提供参考。     

The determinants of customer interactions with internet-enabled e-banking services

This paper empirically explores the major considerations associated with Internet-enabled e-banking systems and systematically measures the determinants of customer interactions with e-banking services. The results suggest that perceived usefulness, ease of use, security, convenience and responsiveness to service requests significantly explain the variation in customer interactions. Exploratory factor analysis and reliability test indicate that these constructs are relevant and reliable. Confirmatory factor analysis confirms that they possess significant convergent and discriminatory validities. Both perceived usefulness and perceived ease of use have significant impacts on customer interactions with Internet e-banking services. Perceived security, responsiveness and convenience also represent the primary avenues influencing customer interactions. In particular, stringent security control is critical to Internet e-banking operations. Prompt responses to service requests can encourage customers to use Internet e-banking services. The findings have managerial implications for enhancing extant Internet e-banking operations and developing viable Internet e-banking services.     

Evaluating trust in electronic commerce: a study based on the information provided on merchants’ websites

Lack of trust has been identified as a major problem hampering the growth of Electronic Commerce (EC). It is reported by many studies that a large number of online shoppers abandon their transactions because they do not trust the website when they are asked to provide personal information. To support trust, we developed an information framework model based on research on EC trust. The model is based on the information a consumer expects to find on an EC website and that is shown from the literature to increase his/her trust towards online merchants. An information extraction system is then developed to help the user find this information. In this paper, we present the development of the information extraction system and its evaluation. This is then followed by a study looking at the use of the identified variables on a sample of EC websites.     

具有价格参照效应的订单农业供应链决策模型

构建了具有损失规避特性和价格参照效应的农户与风险中性的公司组成的两级订单农业供应链的基本模型,引入经济理论价格参照效应,深入研究了收购价格随机以及受价格影响的市场需求随机的双重不确定情形下,公司的成本分担因子以及农户的价格参照点、损失规避度、收购价格的波动对公司与农户决策的影响.研究结果发现,农户的价格参照点、损失规避度以及收购价格的波动的增加均会降低公司与农户的收益;公司在随行就市、保底收购的收购策略下的收益高于随行就市、成本分担下的收益,对于农户则刚好相反.     

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??It is assumed that both an insurance company and a reinsurance company adopt the variance premium principle to collect premiums. Specifically, an insurance company is allowed to investment not only in a domestic risk-free asset and a risky asset, but also in a foreign risky asset. Firstly, we use a geometry Brownian motion to model the exchange rate risk, and assume that the insurance company could control the insurance risk by transferring the insurance business into the reinsurance company. Secondly, the stochastic dynamic programming principle is used to study the optimal investment and reinsurance problems in two situations. The first is a diffusion approximation risk model and the second is a classical risk model. The optimal investment and reinsurance strategies are obtained under these two situations. We also show that the exchange rate risk has a great impact on the insurance company's investment strategies, but has no effect on the reinsurance strategies. Finally, a sensitivity analysis of some parameters is provided.     

Optimal Investment-Reinsurance Strategy with Exchange Rate Risk under Variance Premium Principl

It is assumed that both an insurance company and a reinsurance company adopt the variance premium principle to collect premiums. Specifically, an insurance company is allowed to investment not only in a domestic risk-free asset and a risky asset, but also in a foreign risky asset. Firstly, we use a geometry Brownian motion to model the exchange rate risk, and assume that the insurance company could control the insurance risk by transferring the insurance business into the reinsurance company. Secondly, the stochastic dynamic programming principle is used to study the optimal investment and reinsurance problems in two situations. The first is a diffusion approximation risk model and the second is a classical risk model. The optimal investment and reinsurance strategies are obtained under these two situations. We also show that the exchange rate risk has a great impact on the insurance company's investment strategies, but has no effect on the reinsurance strategies. Finally, a sensitivity analysis of some parameters is provided.     

Modeling Reputation Management System on Online C2C Market

This paper discusses the effectiveness of sharing information concerning the reputations of buyers and sellers making online transactions in a consumer-to-consumer (C2C) market. We developed a computer simulation model that describes online transactions with a reputation management system that shares information concerning the reputations of consumers. The model takes an agent-based approach in which agents' actions are based on the iterated prisoner's dilemma. No model exists to analyze C2C markets even though there are many case studies concerning the effectiveness of sharing reputation information among participants in a market. The simulation results revealed that a positive reputation system can be more effective than a negative reputation system for an online transaction, even though the negative one can work for a traditional transaction. The result should be an important consideration when designing practical reputation management systems for online transactions.     

An adaptive evaluation mechanism for online traders

Economic agents in electronic markets generally consider reputation to be a significant factor in selecting trading partners. Most traditional online businesses publish reputation profile for traders that reflect average of the ratings received in previous transactions. Because of the importance of these ratings, there is an incentive for traders to partake in strategic behavior (for example shilling) to artificially inflate their rating. It is therefore important for an online business to be able to provide a robust estimate of a trader’s reputation that is not easily affected by strategic behavior or noisy ratings. This paper proposes such an adaptive ratings-based reputation model. The model is based on a trader’s transaction history, witness testimony, and other weighting factors. Learning is integrated to make the ratings model adaptive and robust in a dynamic environment. To validate the proposed model and to demonstrate the significance of its constructs, a multi-agent system is built to simulate the interactions among buyers and sellers in an electronic marketplace. The performance of the proposed model is compared to that of the reputation model used in most online marketplaces like Amazon, and to Huynh’s model proposed in the literature.