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The aim of this research is to propose a new prospective and methodology to explore how design affordance affects smartphone usage with a contextual approach to investigating the relationship among design features, functional affordance, descriptive beliefs, and inferential beliefs.

This research was conducted in two phases to explore the effect of design affordance on adoption of smartphone. In the first phase, the paper investigated how smartphone's innovative design features afford user's functional perception. Subsequently, two affordance-based beliefs – intuition and diversity – were elicited from the design features of smartphone's user interface. In the second phase, a theoretical model was developed and empirically assessed for exploring the effects of the elicited affordance-based variables along with the innovation diffusion theory (IDT) variables on smartphone adoption.

Results show that the diversity has significant positive effect on both perceived usefulness and perceived ease of use of smartphone usage. However, the effect of intuition is significant on perceived ease of use but not on perceived usefulness. Of the IDT variables, only relative advantage is statistically significant for attitudes.

The paper only focused on exploring some innovative design features and associated affordances for smartphone adoption. Other design features should be taken into consideration in future research.

The result of this research implies that managers or designers should take advantage of the current advanced technology to develop diverse and intuitive design features on smartphone for attracting user's attention and affection.

There is a contradiction in prior studies concerning the explanations for the causes of ICT artifact adoption while preserving both the generalizability of TAM model and the accuracy and salience to practice. This research contributes a new vision and methodology to explain what and how innovative design features influence user's attitudes towards smartphone usage from the affordance perspective.

Previous research has focused on identifying factors that influence buyers who uses price as a cue to quality. However, little work has been done to explain the theory of association and the psychological processes behind the buyer’s price‐quality association. This study examines the process from a psychological perspective and examines some antecedent variables in the formation of a price‐quality inferential belief. Data is collected for two product categories among a sample of young respondents. Results show that (1) the link between perceptual and inferential belief about the price‐quality association is stronger when the perceptual belief is based on direct purchase experience rather than on advertising; (2) buyers that lack direct purchase experience of a product category tends to rely on advertising to form their inferential belief. Implications are discussed, limitations are noted and directions for future research are indicated.

Consumers of services have expectations about what they will receive from the delivery system. These expectations are beliefs about future events which, when compared with the perceived actual service delivered, are presumed to influence satisfaction and assessments of overall service quality. The purpose of this paper is to propose a model that outlines the process through which expectations operate at the point of delivery and provide a framework for future investigations. Implications for management practice focus on service provider behavior at the point of delivery and on control of cues that may influence consumer expectations once they have entered the delivery system. Directions for research include verification of model relationships and identification of specific types of cues that relate to attributes commonly considered in consumers’ judgements of service quality.

The purpose of this study is to evaluate eTourism technology acceptance literature to illustrate current gaps in the field and suggest two alternative perspectives that could be adopted.

A review of academic literature in the field of eTourism technology acceptance was undertaken combining a systematic keyword-based search and snowballing techniques leading to the identification of relevant academic journal articles published since the year 2000.

While the field of eTourism technology acceptance research has grown substantially over the past few decades, this study highlights that the majority of this research seems to have been conducted within a narrow theoretical scope. The study suggests that this has led to contemporary theoretical and philosophical advancements in understanding the psychological, sociological and neuroscientific aspects of consumer behaviour not yet being mirrored in the eTourism technology acceptance research.

This study invites researchers to adapt alternative theoretical perspectives to create a more in-depth understanding of aspects of technology acceptance behaviour that have yet to be understood. Two distinct alternative perspectives, NeuroIS and interpretivism, are suggested.

This study assists researchers in developing alternative research agendas and diversifying the theoretical foundations of eTourism technology acceptance research.

eTourism technology acceptance research risks being left behind if it does not begin to think beyond current theoretical conceptions of consumer behaviour research. This study contributes to the wider literature by highlighting how eTourism literature is falling behind and by suggesting two innovative alternatives that allow eTourism research an exciting way forward.

本论文旨在审视eTourism技术接受研究文献, 以指出当前文献的不足, 并且提出两个未来可能研究方向。

研究样本为关于eTourism技术接受研究的文献, 文献搜集方法采用系统关键词搜索和雪球搜索技术, 共74篇相关研究文献, 发表年代为2000年至今。

eTourism技术接受研究自过去几十年的发展, 其研究成果已经显著增长。本论文强调这方面研究大多数局限在一个狭小理论领域中。本论文建议此方面的研究可以扩展到心理学 社会学 神经科学等消费者行为的领域,提高eTourism技术接受研究的现代理论和哲学进步,而这些方面在eTourism技术接受研究领域中, 还未涉足。

本论文邀请学者采用其他理论角度来增强技术接受行为的深入理解。两个显著研究方向包括NeuroIS和解释主义。

本论文启示学者在eTourism技术接受研究方面的开发新的研究征程, 以及丰富其相关理论基础。

eTourism技术接受研究将被落下, 如果学者不扩展当前关于消费者行为方面的理论基础。本论文拓宽了对eTourism文献的论述, 并且就其如何可能研究落后以及建议两个创新性方向, 使得eTourism研究将有一个崭新前进。

技术接受、电子旅游、技术接受模型(TAM)、神经资讯系统(NeuroIS)、 神经科学旅游(Neurotourism)、解释主义

The purpose of this paper is to disentangle the direct and indirect effects of three credence labels (Australian, animal welfare and grass-fed) on US consumer attitudes toward buying beef steaks. Furthermore, it explores the impact of consumer attribute knowledge, usage frequency, education and opinion strength on the magnitude of direct and indirect effects.

Data are collected through an online experiment with 460 US consumers and analyzed with path modeling.

The Australian label generates a 86 percent negative direct effect vs a 14 percent negative indirect effect on consumer attitudes, which means that US consumers do not make strong inferences to form their attitudes toward buying Australian beef. The animal welfare label generates 50 percent direct and 50 percent indirect effects. The grass-fed label generates only indirect effects (100 percent). The higher consumer education, attribute knowledge, usage frequency, education and opinion strength, the weaker are the indirect effects of credence labels.

The study focusses on consumers in one country (USA), one product (beef steak) and one label across three attributes, therefore generalization of results is limited.

The study offers a tool to agribusiness managers as well as to policy makers, NGOs and consumer groups to design and assess the effectiveness of communication campaigns attempting to strengthen (or weaken) consumer inferences and attitudes relative to credence labels.

Despite the wide literature on consumer inferences based on credence labels, this is the first study that quantitatively disentangles the complex set of inferential effects generated by credence labels and explores common relationships across multiple credence attributes.

Facial recognition payment is an emerging mobile payment method that uses human biometrics for personal identification. The purpose of this study is to examine how users' salient beliefs regarding the technology–organization–environment–individual (TOE–I) dimensions affect their attitudes and how attitudes subsequently influence the intention to use facial recognition payment in offline contactless services.

This study comprehensively investigates customers' decision-making psychological mechanism of using facial recognition payment by integrating the belief–attitude–intention (B–A–I) model and the extended TOE–I framework. Data from 420 valid samples were collected through an online survey and analyzed using partial least squares structural equation modeling.

Research results indicate that convenience and perceived herd exert positive effects on trust and satisfaction. Meanwhile, familiarity has a significantly positive effect only on trust but not on satisfaction. In contrast, perceived privacy risk exhibits a negative effect on both trust and satisfaction. Trust and satisfaction positively influence the intention to use facial recognition payment. Unexpectedly, self-awareness negatively moderates the effect of satisfaction on intention to use, but its effect on the relationship between trust and intention to use is non-significant.

To the best of the authors’ knowledge, this study is one of the early studies that explicate customers' psychological mechanism in facial recognition payment in offline contactless services through an understanding of the B–A–I causal linkages with the identification of users' perceptions from a comprehensive context-specific perspective. This study enriches the literature on facial recognition payment and explores the moderating role of self-awareness in the relationship between users' attitudes and intention to use, thereby revealing a complex psychological process in the usage of offline facial recognition payment systems.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.

This paper focuses on customer value analysis and measurement, framing customer value management as one of the main antecedents of the company value-creation process. The paper builds on three main pillars. First, the paper highlights the critical role of customer value in business-to-business markets, focusing on the links between the company's ability to manage customer value-creation processes and the positive financial and economic outcomes generated by loyalty effects. Secondly, the paper develops key analytical stages for an understanding of customer value. The focus is on the customer value-chain concept, including consideration of the customer information and acquisition process and its decision rules. Third, the paper illustrates the measurement process, offering an organizational framework for selecting the most suitable method for measuring perceived customer value. The methodological alternatives range from desk measures (e.g., technical computation of the total cost of ownership (TCO)) to field analysis, like those considered under both compositional and the decomposition approaches (e.g., conjoint analysis). The paper concludes with remarks on the managerial implications of these measures, as well as offering suggestions for further research on value for the customer.

The purpose of this paper is to extend the research paradigm focusing on behaviorally-based first-mover advantages (FMA) by applying the widely-accepted Theory of Reasoned Action (TRA) and offers insights into differences between a mature market (USA) and an emerging market (EM) (India) regarding how intentions to purchase the pioneer are formed.

Utilizing samples of 208 USA and 194 Indian consumers, hypotheses examining the underlying beliefs, attitudes, social norms and purchasing intentions regarding pioneer brands are developed and tested using structural equation modeling.

Insights from the study suggest the TRA provides a means for assessing behaviorally-based FMAs across cultures, even as manifestations of purchase intentions differ significantly. According to the TRA and findings of this study, intentions are a function of overall attitudes and social norms. In the USA, individual attitudes were found to play a more significant role than social norms in formulating purchase intention. In India, social norms played a more dominant role in intention formation.

The study represents one of the first empirical attempts to shed light on the extent of behaviorally-based FMAs in an EM and how manifestations of intention to purchase the pioneer differ from mature markets. The study expands the behavioral paradigm of analysis to include one of the most sought-after EMs today (India) and provides one of the first empirical studies to utilize the TRA in addressing behaviorally-based FMAs.

Companies have become increasingly active in developing relationships between their brands and popular causes in such areas as the environment (e.g. nature conservancy) and health issues (e.g. breast cancer awareness crusade). As such alliances become a more important strategic component of the brand’s marketing mix, managers seek direction as to how to generate the most impact with these tie‐ins. This article uses associative learning principles as a framework for understanding how to facilitate building connections between brands and causes so as to increase the value of this highly visible marketing activity. Specific associative learning principles are detailed and applied, improving the use of cause‐related marketing alliances.