基于计划行为理论的旅游者绿色消费行为研究

旅游是从惯常环境到非惯常环境的过程,在非惯常环境下,旅游者具有匿名化,道德约束松弛等特有特征,其绿色消费行为较传统情境下产生了较大差别。理论与实证分析表明,在非惯常环境下,主观规范变量和态度变量对目标绿色消费意愿产生直接影响,但感知行为控制却对其影响甚微;同时环境的异质化也带来了意愿与行为间的鸿沟。在吸收计划行为理论的基础上,本研究尝试建立非惯常环境下旅游者绿色消费意愿行为模型。     

区域性农产品电商平台使用意向影响因素实证研究北大核心CSSCI

农产品电子商务作为农产品流通的重要形式,发展与公共第三方平台互补的区域性农产品电商平台对于提高农产品流通效率、提升农产品竞争力、增加农民收入意义重大。然而,当前多数区域性农产品电商平台因辐射面相对较窄,存在用户数量少、使用率低、经营状况差等问题。只有了解农产品电商平台应用影响因素,才能有针对性地采取措施,提高平台推广效果与使用率。基于计划行为理论和技术接受模型,对区域性农产品电商平台使用意向影响因素进行问卷调查和统计分析发现,态度、主观规范、感知行为控制正向影响个体对区域性农产品电商平台的使用意向;感知风险、感知易用性、感知有用性通过影响使用态度间接影响个体使用意向。因此,为更好地提高用户使用意向,区域性农产品电商平台经营者一定要在围绕平台特色与消费者需求,不断优化平台商品供给结构的同时,重视平台传播渠道管理,加强客户关系维护,提高平台声誉,并结合实际需要优化平台操作流程,提高用户体验,提升用户感知易用性。     

计划行为理论和中国消费者绿色消费行为

影响消费者绿色消费行为的因素包括消费者的认知和心理变量、社会文化因素、个人因素、自我效能、实施环境行为的便利或障碍程度等,本文基于计划行为理论整合了这些因素,以审视不同变量的相对影响程度,探究介于这些变量与绿色消费行为之间的中介变量,认为绿色消费行为是行为意图和感知行为控制的函数,行为意图依次取决于态度、主观规范和感知行为控制,这三种因素分别取决于信念、个人相对利益、社会相对利益和复杂性以及自我效能与便利条件。     

“双碳”战略下我国县域社会电动汽车消费意愿研究

绿色环保、低碳减排一直都是全球关注的话题。在“双碳”战略背景下，本研究以我国县域社会消费者为调研对象，以计划行为理论为框架，通过问卷调查、实地调研等方法探索当前电动汽车消费意愿与行为。研究发现，消费者对绿色环保观念以及电动汽车产品的认知，可以正向影响消费者态度，而消费者对电动汽车的行为态度、主观规范、感知行为控制以及社会文化等因素均可对消费者电动汽车购买意愿产生影响。根据研究结果，对政府部门和电动汽车企业提出可行性建议，以期通过政府、企业与个人的共同努力，促进电动汽车的推广应用。     

问答社区用户知识分享意向的影响因素研究

在已有研究的基础上,验证计划行为理论在预测问答社区参与意向时的有效性,同时证实问答社区用户参与动机与参与意向之间的关系。问卷调查和实证分析结果表明,有形回报、利他愉悦和自我学习对问答社区参与态度具有正向影响,问答社区参与态度、主观规范以及感知行为控制中的资源条件对问答社区参与意向有正向影响。     

问答社区用户知识分享意向的影响因素研究

在已有研究的基础上,验证计划行为理论在预测问答社区参与意向时的有效性,同时证实问答社区用户参与动机与参与意向之间的关系.问卷调查和实证分析结果表明,有形回报、利他愉悦和自我学习对问答社区参与态度具有正向影响,问答社区参与态度、主观规范以及感知行为控制中的资源条件对问答社区参与意向有正向影响.     

三网融合应用服务使用意向影响因素实证分析

为了研究消费者对三网融合应用服务的使用意向,根据三网融合应用服务的特点,基于技术接受模型和计划行为理论的整合,引入感知风险,构建了三网融合应用服务消费者使用意向模型。通过对重庆市消费者的调查,采用LIS-REL8.7建立结构方程模型并进行检验,探讨了影响消费者对其使用意向的关键因素。结果表明:感知易用对使用三网融合应用服务态度影响最大,其次是感知有用和感知风险,并通过使用态度最终影响使用意向。感知行为控制对消费者使用三网融合应用服务意向影响最大,其次是使用态度和主观规范。最后根据研究结果对我国三网融合应用服务发展提出管理启示与建议。     

渠道整合质量对消费者行为意向的影响机制研究

在渠道一体化进程日益加快的零售环境下,渠道整合质量已经成为零售商吸引用户注意力、优化用户体验和提高用户满意度的重要因素之一。本文基于S-O-R理论,构建渠道整合质量—消费者感知价值—消费者行为意向模型,实证研究显示：渠道整合广度、渠道服务透明度、信息的一致性和过程一致性等渠道整合质量多维度正向影响消费者的行为意向,并通过消费者的感知价值影响消费者的行为和决策。基于研究结论,多渠道零售企业应从提高渠道广度、优化购物过程、提升渠道管理能力等方面,增强消费者的感知价值,提升消费者的行为意向,促进消费者积极的消费决策和消费行为,满足消费者更深层次的消费。     

生活方式对消费者行为影响的实证研究

本文在生活方式与消费行为研究的国内外相关文献综述的基础上,建立了我国消费者生活方式对消费行为影响的相关理论模型,通过问卷调查及其数据的处理,发现生活方式、消费意向、消费态度与消费行为之间的关系路径,以期为我国居民消费行为的研究提供依据。     

环保型产品消费矛盾态度影响因素研究综述

越来越多的消费者认同环保型产品,从而产生了对环保型产品积极的消费意愿。然而,在实际购买过程中,会由于各种因素,使消费意向与消费行为之间产生较大的差异。本文尝试厘清环保型产品消费中消费者"言行不一"的矛盾态度所产生的内部原因,通过文献研究法,梳理一般消费行为路径、分析环保型产品消费影响因素,并探寻矛盾态度在环保型产品消费中的生成机制。     

How social distance affects the intention and behavior of collaborative consumption: A study based on online car-hailing service

In recent years, advances in mobile communications technology have enabled collaborative consumption or product sharing between consumers on a large scale. Unlike traditional consumption, collaborative consumption is based on collaboration among individuals, so that the decision-making mechanisms of individual consumers may be different from those in traditional consumption scenarios. The current study focuses on how the social distance between consumers and drivers affects collaborative consumption intention in the case of online car-hailing services. In this study, the theory of planned behavior (TPB) is used as the foundational framework, and we innovatively add the concept of social distance to the TPB to form a new, and integrated model. We test the model based on data collected from 315 online car-hailing users. The results shows that behavioral attitudes, subjective norms, and perceived behavioral control, positively influence collaborative consumption intention and behavior. More interestingly, we find that social distance has both direct and indirect impacts on collaborative consumption intention: The greater the social distance, the lower the collaborative consumption intention. Moreover, social distance also moderates the influence of subjective norms and perceived behavioral control on collaborative consumption intention. To be specific, the influence of subjective norms and perceived behavioral control on collaborative consumption intention is weakened when consumers perceive less social distance. The results suggest that the integrated model has a stronger explanatory power on collaborative consumption behavior. This study enhances the traditional TPB model and offers insight into promoting collaborative consumption in the context of the sharing economy.     

Explaining the Role of Perceived Risk,Knowledge, Price,and Cost in Dry Fish Consumption Within the Theory of Planned Behavior

ABSTRACT

The general purpose of this study is to explore the influence of perceived risk, knowledge, price, and cost of dry fish consumption in Bangladesh using the general framework from the theory of planned behavior (TPB). The field experiments were performed in Bangladesh with a convenience sample of 558 respondents. Multiple regression analysis was used to investigate the relationship among perceived risk, knowledge, price, and cost and TPB constructs. The findings showed that attitude, norms, and procedural knowledge emerge as the key determinants of intention, whereas intention, attitude, norms, and perceived risk have effects on the dry fish consumption frequency. Perceived behavioral control, price, and cost had no significant effect on intention and consumption behavior. The proposed TPB and the extended model both fit the data well and proved the expectations of this study in a promising way. The study found that people are more concerned about potential long-term risk to their family and others. Therefore, management attention should focus on reducing risks which consumers may face through producing safe and hazard-free dry fish.     

Identifying the critical factors of customer behavior: An integration perspective of marketing strategy and components of attitudes

The purpose of this empirical study is to operationalize the relationship of green marketing's influence on consumer attitudes via the mediating role of marketing mix towards green products to validate the proposed research model in the Taiwanese context of explaining consumers' willingness to be environmentally friendly. The model is based on structural equation modeling (SEM) from data collected from 977 online consumers. The findings revealed that green consumption intention was significantly and indirectly driven by attitude to green products. Additionally, the effect of perceived quality on marketing mix and consumer willingness in environmental concern is both significant and positive. However, when a restaurant has high consumer social responsibility (CnSR) for marketing mix, the consumer attitudes of cognitive, affective, and behavioral model (C-A-B model) is less effective. These findings have contributed to the revival of the theory of planned behavior (TPB) and offer a comprehensive understanding of consumer attitude, consumer social responsibility, marketing mix and perceived quality impact that a restaurant has on the ability to raise consumer willingness to purchase green products or food. We provides valuable suggestions to marketers to design from the perspective of green marketing policies and strategies in order to accommodate Taiwan's indigenous green restaurants.     

Social media adoption behaviour: Consumer innovativeness and participation intention

With the emergence of social media, the trends of selfies have become common across various social networking platforms as a distinctive way of self-presentation. It has aroused the interest of various scholars to comprehend the consumer adoption behaviour for social media. Thus, built on the innovation diffusion theory (IDT) and theory of planned behaviour (TPB) perspective, this paper developed a model to empirically test whether and how critical factors of consumer selfie-posting behavioural intention on social media affect behavioural intention and word-of-mouth to consequently enhancing their adoption behaviour towards social media to post selfies. The data were gathered from 353 young consumers who post their selfies clicked via smartphone on their social media accounts. The results revealed that consumer innovativeness and participation intention directly and indirectly affect consumer adoption behaviour for social media to post their selfies. Additionally, the study identified that among all critical factors, participation intention and perceived behaviour control have strongest influence on behavioural intention to post selfies followed by consumer innovativeness, attitude towards selfie-posting and subjective norms. The study contributes to the extension of TPB by adding participation intention and positive WOM, adoption of social media. This research validated the significant roles of consumer innovativeness, participation intention, positive WOM and intention to post selfies in predicting the adoption behaviour. Practitioners and marketers of social media sites can improve the usability and effectiveness of positive WOM and intention to post selfies to attract more young consumers.     

Predicting the Use of Pirated Software: A Contingency Model Integrating Perceived Risk with the Theory of Planned Behavior

As software piracy continues to be a threat to the growth of national and global economies, understanding why people continue to use pirated software and learning how to discourage the use of pirated software are urgent and important issues. In addition to applying the theory of planned behavior (TPB) perspective to capture behavioral intention to use pirated software, this paper considers perceived risk as a salient belief influencing attitude and intention toward using pirated software. Four perceived risk components related to the use of pirated software (performance, social, prosecution and psychological risks) have been identified, measured and tested. Data were collected through an online survey of 305 participants. The results indicate that perceived prosecution risk has an impact on intention to use pirated software, and perceived psychological risk is a strong predictor of attitude toward using pirated software. In addition, attitude and perceived behavior control contribute significantly to the intended use of pirated software. However, the proposed direct relationship between subjective norm and intention to use pirated software is not supported. Implications for research and practice are discussed.     

Investigating the factors influencing small online vendors’ intention to continue engaging in social commerce

ABSTRACT

This study investigates the variables that determine small online vendors’ intentions to continue engaging in social commerce. Based on the theory of planned behavior (TPB) and social exchange theory (SET), eight hypotheses were developed to (1) identify the antecedents that influence small online vendors’ attitudes toward social commerce, subjective norms, and perceived behavioral control; and (2) examine the causal relationships among the variables with respect for continuous usage intention. A questionnaire survey was used to collect data on a sample of 166 small online vendor managers and employees. Partial least squares (PLS) was used to validate the proposed model. The findings show that social exchange factors (perceived benefits and commitment) significantly affect small vendors’ attitudes toward social commerce. The results further confirm the validity of TPB, i.e., attitude and perceived behavioral control have significant impacts on continuous usage intention in relation to social commerce. The findings of this study provide important insights into the antecedents of attitude for academics and practitioners, application of social computing in commerce for engaging in service innovation, and have the potential to contribute to the development of effective online marketing strategies.     

基于信任的移动社交电子商务购买意愿影响因素

近年来,越来越多的个体、商家加入移动社交网络平台开展电子商务活动,对网络零售产生了重要影响。但由于缺乏监管和行业规范的引导,消费者感知风险存在,影响消费者交易行为,且理论研究较少,也不能为此类电子商务模式的发展提供理论指导。信任是电子商务活动的基础,信任对消费者购买意愿产生直接影响,平台可用性、消费者内在特征和行为以及商家会直接或间接影响非移动社交电子商务模式消费者的购买意愿。而在移动社交电子商务中,由于其模式的独特性,以往影响消费者信任的因素已难以有效反映移动社交电子商务消费者的购买意愿。此外,商家通过社群与若干消费者建立不同程度的连接,需要研究连接中强弱关系对消费者购买意愿的影响程度。因此,基于移动社交电子商务的特点假设影响消费者信任和购买意愿的因素,即除系统质量、信息质量、产品质量、服务质量四个影响非移动社交电子商务消费者信任的因素外,还包括社群关系和网购认知这两个影响移动社交电子商务消费者信任的新因素,接下来假设上述因素对消费者感知信任和感知风险两个中介变量存在影响,并进一步影响消费者购买意愿,继而再通过构建结构方程模型进行实证分析。实证结果显示,系统质量、信息质量、产品质量、服务质量均不同程度正向影响消费者感知信任,负向影响感知风险,而社群强弱关系对购买意愿的影响与弱关系理论结论相反,网购认知对增强消费者感知信任作用明显,消除消费者感知风险是增强消费者信任的重要途径。     

The Eureka moment in understanding luxury brand purchases! A non-linear fsQCA-ANN approach

Although substantial research has been conducted to understand the luxury brand consumption at a global level, especially in the Western market, far less attention has been dedicated to the identification of factors driving such purchases in the Asia-Pacific region. This gap is addressed in the present study, which draws upon the extended theory of planned behavior (TPB) and complexity theory (CT) to identify the non-linear causal pathways pertaining to Chinese consumers’ luxury brand purchase intention. An online survey was conducted with a sample of Chinese consumers to gather data related to their attitudes, subjective norms, perceived behavioral control, self-congruity, power distance beliefs, and gender. An asymmetrical-based approach was adopted by combining fuzzy-set qualitative comparative analysis (fsQCA) with artificial neural network (ANN) analysis. The fsQCA results showed that there are seven solutions (i.e., various combinations of causal antecedents) that can facilitate the formation of luxury brand purchase intention, four of which are gender-specific. After completing the fsQCA, the ANN analysis was conducted to rank the causal conditions in terms of their importance, indicating that attitude and subjective norms are the most relevant antecedents. The present study contributes to the existing luxury branding literature by reevaluating and extending the well-established TPB with new variables and new research lens (i.e., asymmetric thinking). More specifically, this study represents the pioneering effort to apply set theoretic approach in understanding luxury goods consumption, thereby yielding more insightful results that reflect the complexity of reality, and thus advance the findings yielded by past studies that relied on variance-based methods.