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Consumers worldwide are increasingly adopting mobile payments. However, despite its global popularity, this innovation did not diffuse among American consumers extensively. As of 2019, less than 30% of smartphone users in the USA engaged in mobile payments. The purpose of this paper is to investigate drivers of mobile payment adoption in the USA and to explore the mediating factors of consumers’ attitudes toward mobile payments.

Data were collected through Amazon M-Turk in the USA with 222 final respondents. Participants received an incentive to participate in this study. The measurement and structural models were evaluated by the component-based partial least squares (PLS) approach using Smart-PLS 3 software.

The study shows several factors affecting consumers’ attitudes toward mobile payments. Specifically, relative advantage, compatibility, observability, perceived security and convenience influence attitudes toward mobile payments and, consequently, behavioral intent to use mobile payment technology. This investigation contributes to the ongoing inquiry on the adoption of mobile payment technology in the USA. It offers specific insights for managers on how to increase mobile payment adoption. The study establishes a modified diffusion of innovations (DOI) model of consumer attitudes toward the use of mobile payments.

The objective of this study is to focus mainly on consumers in the USA, and it limits the generalizability of this study.

This study contributes to the current research on mobile payment adoption. Based on theoretical considerations, the authors derived a research model specifying critical drivers of an individual’s intentions to use mobile payments. Specifically, we establish a modified DOI-based model of consumer attitudes towards mobile payments. It shows several contributing factors affecting consumers’ attitudes toward mobile payments. The paper has important managerial implications aimed at the increase of the diffusion of mobile payments in the USA.

Today, consumers play an active role in creating, generating and distributing the electronic word of mouth (eWOM) independent of marketers. Customer acquisition through referrals and word of mouth (WOM) has thus become an important goal for firms. In addition, mobile social networks have created valuable opportunities for eWOM. People are now able to discuss products and services of brands with their friends and acquaintances. The purpose of this paper is to examine the influence of eWOM information on consumers’ behavioral intentions in mobile social networks.

This study employed the information adoption model (IAM), theory of reasoned action and social exchange theory to investigate the influence of eWOM information on consumers’ behavioral intentions in mobile social networks. The study used 394 respondents to evaluate the proposed model using SmartPLS software.

Results show that the quality and credibility of eWOM information has a positive direct effect on perceived information usefulness. Attitude toward eWOM information mediates the influence of perceived information usefulness on information adoption. Also, attitude toward eWOM information has a significant positive influence on behavioral intentions, such as purchase intention and forwarding of eWOM information. However, information adoption does not have any significant relationship with the forwarding of eWOM information.

This study seeks to address the dearth of research in the field of mobile social networks, especially regarding eWOM information. The study proposes a new model and empirically validates the hypothesized relationships. This research can serve as a stepping-stone for future research in this field.

This research is one of the first studies focusing on the influence of eWOM information, especially in mobile social networks. The research offers comprehensive and empirically validated factors pertaining to eWOM information in mobile social networks. The results of this study may be useful also for practitioners and managers of online companies.

A new eWOM IAM in mobile social networks is proposed based on information characteristics and consumer behavior. The model is validated afterward.

This study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.

This study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.

Results revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”

This paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.

The partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.

The results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.

This study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.

This research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.

The purpose of this paper is to analyze the various antecedent beliefs predicting customers’ attitudes toward, and adoption of, self-service technologies (SSTs) available in the banking industry.

A descriptive research design with survey approach is used to develop and test a conceptual model of adoption for all three self-service banking technologies (SSBTs).

The results of the comparative analysis showed that antecedent beliefs affecting adopters’ attitude vary across different SSBTs. It extends and tests the technology acceptance model (TAM) by including two additional antecedents from the theories of adoption behavior.

All three SSBTs included in the paper are from the banking industry, which limits the generalizability of the findings to other industries. Many other limitations were also reported.

The findings reveal why and how customers decide to adopt different SSBTs and why a few SSBTs are more widely accepted than others. The practicality of the findings guides managers and designers of technological interfaces.

People will also benefit from the effective implementation of SSTs.

This study stands out as one of the early studies to empirically examine the antecedents-attitude-intention relationship across different SSBTs available in Indian banking industry.

The International Journal of Bank Marketing wishes to retract the article Kaushik, A.K. and Rahman, Z. (2015), “Innovation adoption across self-service banking technologies in India”, published in International Journal of Bank Marketing, Vol. 33, No. 2, pp. 96-121.

It has come to our attention that the article contains substantial similarities to the following article: Curran, J.M. and Meuter, M.L. (2005), “Self-service technology adoption: comparing three technologies”, Journal of Services Marketing, Vol. 19 No. 2, pp. 103-113, https://doi.org/10.1108/08876040510591411.

The authors have fully cooperated with this investigation and supplied the original dataset for review. Using this dataset, the editorial team were unable to replicate the results included in the article, and as a result, the decision has been made to retract the article.

The International Journal of Bank Marketing author guidelines make it clear that articles must be original and must not infringe any existing copyright.

The journal apologises to both Professor Curran and Professor Meuter, and its readers.

This study aims to examine the determinants of adoption intention toward the rooftop solar photovoltaic (RSPV) systems among residents of peri-urban villages of Gurugram, Haryana, India. This study also analyzes the impact of the adoption of RSPV systems on carbon neutrality from a behavioral perspective.

Data was collected using a self-administrated structured questionnaire from 208 male villagers (195 usable) of 22 villages using the purposive sampling technique.

Results revealed that relative advantage, followed by simplicity, trialability, observability and compatibility, positively and significantly impact villagers’ attitude toward adopting RSPV systems in their homes. Perceived severity and perceived vulnerability significantly influence the perceived behavioral control of villagers toward adopting the RSPV systems. The results show villagers’ attitudes, subjective norms and perceived behavioral control are the essential predictors of their adoption intention of the RSPV systems. Most notably, carbon neutrality was significantly affected by villagers’ adoption intention of RSPV systems as the renewable energy source in their homes.

The findings of this study provide that innovation attributes are important factors in shaping the adoption intentions of customers toward RSPV systems. This study is also the extent of previous studies measuring customers’ perception of adopting renewable energy in developed and emerging countries worldwide.

The study adopted a conceptualized technological, organizational and environmental (TOE) model to empirically investigate the factors affecting hotel managers’ attitudes toward intelligent agent technology (IAT) adoption in the hotel food supply chain management (HFSCM) and their intentions for future adoption.

In-person survey was carried out in luxury hotels in Florida.

The findings indicated that merely 5.7 per cent of hotels are fully implementing IAT. Perceived benefits, reliability, quality of human resources, information intensity and market capabilities had a statistically significant positive impact on hotel managers’ attitudes. However, complexity and cost had a negative influence on hotel managers’ attitudes toward IAT adoption in the HFSCM. Managers’ attitude further positively influences their intention to adopt.

The validated model helps guide hotel decision makers who are considering IAT adoption in the HFSCM. Hotels that are seeking sources for competitive advantages would better consider the TOE factors in IAT adoption prior to making a decision.

This is the first study that examined IAT adoption in the hotel industry from a theoretical and empirical perspective. The validated model proposed for the adoption of IAT in HFSCM enriched the TOE model and the diffusion of innovations theory.

本论文借用科技、组织、环境（TOE）模型, 实践检验了其酒店经理在HFSCM中对智能代理科技（IAT）的使用和未来使用意向。

采样地点在佛罗里达州的高级酒店, 采用面对面问卷的方式取样。

研究结果表明, 只有百分之 5.7 的酒店全面采用 IAT。感知好处 可依赖性 人力资源的质量 信息密度 市场能力等对酒店经理的态度有积极显著效果。然而, 复杂性和成本对酒店经理在HFSCM上采用IAT有负面影响。经理态度对使用意图有进一步积极影响。

本论文验证的模型对酒店决策者评估 IAT 在 HFSCM 方面的使用有着参考作用, 为了竞争优势, 酒店决策者应该考虑在决策前先考虑IAT使用的 TOE 因素。

本论文是首篇结合理论与实践, 在酒店行业检验对 IAT 使用的文章。在 HFSCM 中IAT使用的验证模型对 TOE 模型和 DOI 理论有显著意义。

酒店食品供应链管理 智能代理科技 IAT 使用 TOE 模型 酒店科技

Large, influential and profitable young adults are being targeted for fast fashion that negatively impacts the environment. The transition from a fast to an environmentally friendly slow fashion is a challenging process and culturally dependent. The process starts with slow fashion idea adoption. Thus, the authors modified an information acceptance model (IACM) to examine information characteristics (idea/information quality, credibility, usefulness, source credibility) and consumer factors (need for idea and attitudes) impacting intentions to adopt the slow fashion idea in Canada, South Africa (individualists) and China (collectivists).

Cross-sectional data were collected from South African (n = 197), Chinese (n = 304) and Canadian (n = 227) young adults (18–35 years old) at universities in metropolitan cities. Partial least squares structural equation modeling was used to analyze the data.

The results show that while most information characteristics and consumer factors are vital for slow fashion attitudes and intention formation, information quality and trust in the sources were a problem in individualistic cultures as opposed to the collectivist culture. This finding confirms the greater tendency of collectivists to trust disseminated information on environmental issues. In all cultures, attitudes impacted idea adoption intentions. On testing IACM, the multigroup analyses showed no significant differences between young adults in the individualistic cultures. Attitudes mediated most relationships and were highly explained by IACM (South Africa, 49.6%; China, 74.5%; and Canada, 64.5%).

In emerging and developed markets, this study informs environmentalists and green fashion brands of information characteristics that can create positive attitudes and slow fashion idea adoption intentions among influential young adults.

Advances in technologies have allowed service providers to incorporate many different technologies into the delivery of their services. These technologies have been implemented in the service encounter for the customer to use with varying degrees of success. This research aims to focus on the examination of factors that influence consumer attitudes toward, and adoption of, self‐service technologies (SSTs).

A conceptual model of the adoption process for SSTs is developed and tested across three different technologies used in the banking industry. One of these technologies (ATMs) has been available for many years and is widely adopted, another technology (bank by phone) has been available for many years but has not been widely adopted, and the third technology (online banking) is relatively new to the marketplace. Data were collected using a random telephone survey of banking customers in a three‐state area of the northeast USA and analyzed using structural equation modeling.

A comparison of the results of the model tests on the three technologies provides evidence that different factors influence attitudes toward each of these technologies and offers an explanation of the varying degrees of acceptance found among consumers. This research has demonstrated that multiple factors need to be considered when introducing technologies into the service encounter and that the salient factors may vary among technologies and their stages in the adoption process.

The three different technologies used were all based in the banking industry, which limits the generalizability to other industries. Also cross‐sectional data are used rather than a longitudinal study, the feasibility of which is limited by time and cost contraints.

The practical application of these findings may guide marketers to emphasize issues related to certain critical constructs when utilizing SSTs in their service delivery.

The purpose of this paper is to develop and empirically examine a comprehensive model describing the effects of perceived characteristics of mobile coupon services on attitudes and the effects of personal innovativeness and subjective norm (SN) on behavioral intention (BI) to use such services. Gender differences in the process of mobile coupon service adoption were also investigated.

The online survey was distributed to US adult consumers (age 19 and over) recruited through an online sampling service company. A total of 657 useable responses were obtained.

The results showed that in general, compatibility and enjoyment are stronger determinants of attitudes toward mobile coupon adoption than ease of use and usefulness of mobile coupon services. Innovativeness and SN showed strong effects on BI to use mobile coupon services. Furthermore, the results demonstrated gender differences in the relative strength of perceived characteristics that affect attitudes toward mobile coupon services. Enjoyment and usefulness of mobile coupons appear to be more important for females than males while perceived ease of use is a stronger determinant for males.

The results of this study furthers understanding of the commercial use of mobile coupons by providing insights into the factors determining consumer adoption of such mobile services.