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This study seeks to examine the effects product presentation types on consumer's perceived risk reduction about apparel attributes (i.e. silhouette, colour, texture, and fit), and the effect of 3D virtual models' body shapes on consumer's perceived risk reduction about apparel fit. Internet shopping trust and consumer's actual body size have been considered as moderating variables, respectively.

Three types of web sites were developed for the experiment. Participants were recruited by a survey firm, explored the web sites, and filled out online questionnaires.

3D virtual models significantly reduce perceived risk about the four apparel attributes more than 2D images. Especially, they are effective to reduce perceived risk about apparel fit when their bodies represent a consumer's actual body shape.

This study verifies the informative role of 3D virtual models in apparel shopping. The implications related to the usage of the technology and the suggestions for future research are discussed.

The purpose of this paper is to present the single sampling attribute plan for given acceptance quality level (AQL) and limiting quality level (LQL) involving minimum sum of risks using weighted Poisson distribution.

For the given AQL and LQL, sum of producer's and consumer's risks have been attained. Based on weighted Poisson distribution, the sum of these risks has been arrived at, along with the acceptance number and the rejection number. Also, the operating characteristic function for the single sampling attribute sampling plan, using weighted Poisson distribution, has been derived.

In the final inspection, the producer and the consumer represent the same party. So, the sum these two risks should be minimized. In this paper, the sum of risks has been tabulated using weighted Poisson distribution for different operating ratios. These tabulated values are comparatively less than the sum of risks derived using Poisson distribution.

The sampling plan presented in this paper is particularly useful for testing the quality of finished products in shop floor situations.

Innovation has attracted considerable interest in recent years in improving competitive advantage for both profit and nonprofit organizations. Service innovation offers the potential for substantially improving the performance, but performance gains are often obstructed by users' unwillingness to accept and use available systems. This research aims to use the concept of Reasoned Action Theory to further examine consumer attitudes toward service innovation and its antecedents.

By focus group discussion and literature review, a conceptual model with six postulated hypotheses is proposed. The Electronic Toll Collecting (ETC) system launched by the Taiwanese government is selected as the service innovation to test the model. A structured questionnaire is designed to collect field data. The structural equation model with LISREL VIII program is used to estimate the structural coefficients and to test the hypotheses.

The results show that perceived ease of use, perceived price fairness, risk averseness and satisfaction with existing service significantly influence consumer attitude, and then influence consumer's intention to adopt service innovation.

Before introducing a service innovation, the service provider must seriously consider the possible difficulties of usage and risk from the consumer's perspective.

Compared with product innovation, research focusing on service innovation is relatively scarce. Services have specific characteristics of intangibility, inseparability, heterogeneity and perishability. Hence, the factors influencing the consumer adoption of service innovation may be different from those of product innovation.

The purpose of this paper is to present the optimal double sampling attribute plan using the weighted Poisson distribution.

For the given AQL and LQL, sum of producer’s and consumer’s risks have been attained. Based on the weighted Poisson distribution, the sum of these risks has been optimized.

In the final inspection, the producer and the consumer represent the same party. So, the sum these two risks should be minimized. In this paper, the sum of risks has been tabulated using the weighted Poisson distribution for different operating ratios. These tabulated values are comparatively less than the sum of risks derived using Poisson distribution.

The sampling plan presented in this paper is particularly useful for testing the quality of finished products in shop floor situations.

The purpose of this paper is to understand the consumer’s intention toward internet banking adoption in Indian context by combining two theories; theory of planned behavior (TPB), technology acceptance model (TAM) and an additional construct, i.e. perceived risk.

A questionnaire based survey was conducted to collect responses from young consumers (210 usable responses). Data were analyzed using structural equation modeling to evaluate the strength of relationship.

The result shows that perceived usefulness, attitude, subjective norm and perceived behavioral control significantly influences the consumer’s intention to adopt internet banking whereas perceived risk failed to show any significant influence over intention to adopt internet banking.

The study is limited to young consumers (i.e. professional students) only. Further, the study concerns itself with consumer’s intention not actual behavior.

The finding will be useful for bank officials for devising strategies and policies related to internet banking in the Indian scenario.

The paper is one of the initial attempts in Indian context to understand the consumer’s intention to adopt internet banking by combining TPB and TAM theories.

Acceptance sampling plans are a decision-making process on the basis of a randomly selected sampling from a party, where it is not possible to completely scan the products for reasons such as time and cost being limited or the formation of damaged products during the inspection. For some products, the life span (time from beginning to failure) may be an important quality characteristic. In this case, the quality control adequacy of the products can be checked with an acceptance sampling plan based on the truncated life test with a censored scheme for the lifetime of the products. In this study, group acceptance sampling plans (GASPs) based on life tests are studied under the Type-I censored scheme for the compound Weibull-exponential (CWE) distribution.

GASPs based on life tests under the Type-I censored scheme for the CWE distribution are developed by using both the producer's risk and the consumer's risk.

In this study, optimum sample size, optimum number of groups and acceptance number are obtained under the Type-I censored scheme for the CWE distribution. Real data set illustration is given to show GASPs how to be used for the industry applications.

Different from acceptance sampling plans with just considering the producer's risk, GASPs are constructed by using two-point approach included both the producer's risk and the consumer's risk for CWE distribution.

While remanufactured products represent an increasingly researched phenomenon in the literature, not much is known about consumers' understanding and acceptance of such products. This study explores this issue in the context of the theory of perceived risk (TPR), investigating return policy leniency and distribution channel choice as potential factors to foster remanufactured products' sales.

This research utilizes an experimental design composed of a pre-test and a scenario-based main experiment to explore how return policy leniency might mitigate consumers' perceived risk and how their related purchase intention differs across two types of retail distribution channel structures (i.e. brick-and-mortar vs. online).

The investigation into the efficacy of return policy leniency within two retail distribution channel settings (i.e. brick-and-mortar vs. online) illustrates that providing a lenient return policy is an effective “cue” in increasing consumer purchase intention for remanufactured products. While prior literature has established that consumers value return policy leniency for new products, the authors provide empirical evidence that this preference also applies to remanufactured products. Notably, that return policy preference holds true in both channel settings (i.e. brick-and-mortar vs. online) under consideration. Additionally, and contrary to the authors’ predictions, consumers perceived remanufactured products sold via both channel settings as equally risky, thus highlighting that both are appropriate distribution channels for remanufactured products. Finally, while research on new products provides some initial guidance on consumer perceptions of quality and risk, the study provides empirical evidence into the difference of perceived risk with regard to new versus remanufactured products.

By employing the TPR, this research explored the role played by two supply chain management related factors (returns policy and channel structure) in reducing consumer's perceived risk and increasing purchase intention. In doing so, this study answers the call for more consumer-based supply chain management research in a controlled experimental research setting.

Global digital payment transactions increase continuously. Due to the inconsistencies that occurred across the research findings, past researchers have called for further investigation to verify and empirically test the mobile payment acceptance model. The purpose of this paper is to develop an integrative model that is derived from the multiple technology acceptance models (TAM)’s a theoretical framework and past literature to understand how consumers decided to adopt mobile payment. By simultaneously testing mechanisms, namely, ease of use, usefulness and risk, the current study will be able to advance scholarly knowledge of the underlying consumer’s attitude and behavior that link social influence to intention to use.

A total of 370 valid responses were collected using self-administered questionnaires distributed via online platforms, a representative for Thai consumers. An ordinary least square regression and bootstrap analyzes were conducted through PROCESS Macro to analyze the moderated serial-multiple mediation model in the consecutive inducing of social influence, perceived ease of use, perceived usefulness and perceived risk toward the consumer’s intention to use mobile payment.

Within the context of consumers evaluating a mobile payment, statistics significant were found for the hypothesized direct and indirect effects of perceived ease of use and perceived usefulness on an intention to use. The results showed that Thai consumers’ intention to use mobile payment was significantly affected by their attitudes in terms of usefulness and the less complication in using the applications. It is confirmed that social influence indirectly affects intention to use via the increase of perceived ease of use and perceived usefulness. The study also found a significant interaction between perceived risk and perceived usefulness toward intention to use.

It is recommended to service providers to continue improving the user-friendliness, navigation, integrity and furnish the system with more value-added activities within the mobile payment application. It is also essential for the company to deliver tutorials and clear and easy-to-follow instructions to customers. At the same time, the marketer should develop marketing strategies to promote the usefulness and simplicity of using the applications to the consumers. When consumers experienced the easiness and usefulness of the applications, these could overcome the resistance feeling to use due to the concern on any potential risk.

The study contributes to the existing body of knowledge on consumer usage behavior and TAM by integrating all important variables and developed a parsimony framework to explain consumers’ usage adoption on mobile payment. Moreover, the current study was the very first that proposed and tested a serial of multiple mediations of perceived ease of use and perceived usefulness, moderated by perceived risk, in the relationship between social influence and consumers’ intention to use mobile payment and discovered a moderating role of perceived risk toward the relationship between perceived usefulness and mobile payment usage intention.

The purpose of this paper is to examine and quantify how various uncertainties result in different perceived risk dimensions that hinder mobile payment (m-payment) acceptance.

An uncertainty-risk-value framework was proposed based on perceived risk theory, prospect theory, and perceived value theory. Structural equation modeling method was used to test the research model.

Perceived information asymmetry, perceived technology uncertainty, perceived regulatory uncertainty, and perceived service intangibility are confirmed as the main determinants of perceived risk, while perceived performance risk, perceived financial risk, and perceived privacy risk were found to have strong negative effects on perceived value and acceptance intention.

The findings may help businesses and policy makers better understand the sources of perceived risk and help support the development of appropriate strategies to mitigate the risk concerns consumers have regarding m-payment.

Although the hindering effects of perceived risk regarding m-payment acceptance have been confirmed in previous studies, the sources of perceived risk were rarely investigated. By examining the determinants of perceived risk in m-payment acceptance, this paper offers insights into how consumers perceive risks when adopting new innovations. Additionally, it bridges the gap between the antecedents and consequences of perceived risk.