A meta‐analysis of the UTAUT model: Eleven years later

The unified theory of acceptance and use of technology (UTAUT) has been widely used to investigate factors influencing the adoption and use of information systems and technologies (IS/IT). However, studies using UTAUT are not conclusive in terms of statistical significance, direction, and magnitude. Through a meta‐analysis of empirical studies on UTAUT from 2003 to 2013, we determine how parsimonious, accurate, and robust UTAUT is at predicting acceptance and use of technology. A meta‐analysis of 74 publications reveals that performance expectancy, effort expectancy, and social influence explain IS/IT adoption, while behavioural intention is the most often measured dependent variable operationalized as a proxy for system use, supporting the strength of UTAUT as an explanatory model of IS/IT acceptance and use. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

Understanding the Determinants of User Acceptance of Enterprise Instant Messaging: An Empirical Study

As modern organizations increasingly depend on information systems (IS) to enhance work productivity and seek new business opportunities, communication effectiveness has become one of the key factors that underlie the effective performance of IS implementations and applications. Instant Messaging (IM) presents a revolution in enterprise communication. As more organizations are findings ways to utilize this near-synchronous computing communication technology to enhance communication effectiveness in the workplace, there is a compelling need to understand the factors that are important for the adoption of enterprise IM. We have developed an integrative model based on constructs of the existing IT adoption models as well as theories on motivation, innovation diffusion, and critical mass. Using responses from 140 intended subjects, we have found the results of survey data support the contentions that perceived usefulness, compatibility, enjoyment, and security are significant predictors of intention to use enterprise IM. Although perceived connectivity did not predict the intention directly, it did indirectly through perceived usefulness and perceived ease of use. Implications and future research are discussed.     

Sustainable innovation behavior in restaurants

Although a major contributor to environmental degradation and global climate change, most city administrators, policymakers and regulators do not hold restaurants accountable for their adverse impacts. New policies with incentives are urgently needed that leverage existing drivers of sustainable innovation. Using innovation adoption and planned behavior theories, a path analysis model is developed to evaluate the current level of sustainability in the restaurant industry and reveal the predictors of future sustainability behavioral intention. The results show that three predictors ? past experience, perceived behavioral control, and perceived innovation characteristics ? largely determine whether restaurants engage in sustainable innovation in the future.     

Understanding consumers’ behavior to adopt self-service parcel services for last-mile delivery

Self-service parcel delivery service has been favored by E-commerce retailers as an effective solution to the “last-mile” delivery, and consumers' adoption behavior is the key point to apply this emerging technology. The aim of the present study is to empirically test the influence of psychological factors on online consumers’ behavioral intention to adopt it. An extended UTAUT model is developed and 525 structured questionnaires were collected. Empirical results demonstrate that performance expectancy, effort expectancy, social influence and facilitating conditions are positive determinants, while perceived risk was negatively factor to behavioral intention. The difference in the behavioral intention among demographic groups was examined as it might provide an opportunity for developing a new strategy to promote the application of self-service parcel delivery service for last-mile delivery.     

Electronic Kiosks in Retail Service Delivery

Abstract

In-store interactive kiosks using Internet technology represent a channel within a channel in many retail and service settings. They offer wide-ranging informational, transactional and promotional benefits, as well as contributing to customer relationship management. Widespread adoption by customers is, however, required to realize their full potential. Drawing upon the diffusion of innovations and technology acceptance models, two empirical studies are reported, one using a kiosk prototype, the other an in-store trial system. In both cases, a model was able to predict around 50% of intention to use. Implications for retail strategy, positioning within stores, facility promotion and system design are discussed.     

The adoption of sustainable laundry technologies by US consumers

The adoption of sustainable laundry technologies by US consumers has lagged behind that of other countries and even behind the projections for adoption made by the US government. Most US household currently own and use the top‐loading vertical axis (v‐axis) agitator type washers, which use large amounts of water as well as additional energy to heat the water. More sustainable laundry practices include the use of energy‐ and water‐efficient front‐loading horizontal‐axis (h‐axis) washers. These washers have been demonstrated to use 38% less water and 58% less energy than the standard top‐loading v‐axis models. The adoption of more energy‐efficient washing technologies is of interest to many, including policy makers, because of their water‐ and energy‐saving potential. Little is known about the attributes and issues consumers use in their decision to adopt high‐efficiency washers for their home. This study uses Roger's Diffusion of Innovations Theory to understand the adoption of h‐axis washers by US consumers. An online survey of 330 consumers who own washing machines found that 23% currently own h‐axis washers and 24% of consumers intend to purchase an h‐axis when they replace their top‐loading vertical (v‐axis) washers. Energy and water savings are the most frequently cited reasons overall for adopting the h‐axis washer and cost was the main reason for not adopting the technology. Other issues, such as dissatisfaction with cleaning power and problems with machine cleanliness and maintenance, did not play a major role in adoption. Specific marketing and education channels, where US consumers are looking for information about h‐axis washers, are also identified. Overall, the results suggest that the rate of h‐axis adoption in the US is accelerating, but that many of the benefits of the technology are not easily observed by non‐owners.     

Consumer Adoption of Mobile Internet Services: An Exploratory Study

This study provides a framework that captures the antecedents of mobile internet adoption and the willingness to pay for such service. The theory of reasoned action and components of a theory of innovation adoption were integrated into a research model of consumer adoption of the mobile internet. The hypothesized model included service quality perceptions (fixed internet and mobile technology service), beliefs about mobile internet, and individual difference variables to explain intention to adopt mobile internet. An online questionnaire was used to gather data. The results showed that beliefs and quality perceptions play a significant role in influencing intentions to adopt mobile internet. In particular, beliefs about mobile internet are positively related to the adoption; quality perceptions of fixed internet are found significant to negatively influence adoption intentions, but positively relate to willingness to pay for using mobile internet. Mobile service usage, and peer influence are found non-significant to influence adoption intentions. Fixed internet usage was found negatively affect adoption intentions. Computer skills, knowledge of mobile internet and career mobility are all found positively related to the adoption. In addition, innovation driven consumers are more likely to adopt mobile internet, and intention to adopt plays an important role in shaping actual mobile internet use. Implications of results and directions for future research are examined.     

Enjoyment and social influence: predicting mobile payment adoption

Models of technology adoption, notably the Technology Acceptance Model and the Unified Theories of Acceptance and Use of Technology, provide good theoretical foundations for understanding mobile payment adoption. This study extends these frameworks by incorporating perceived enjoyment, social influence, knowledge and perceived risk. Replications of established theories are tested in a new context of young people's adoption of mobile payment. Subsequent hypotheses test an extended theoretical framework using an online survey (N?=?316). The extended model improves previous models by explaining 62% of variation in intention to use. Against expectations, perceived ease of use had no significant effect on perceived usefulness and intention to use. The study contributes to advancing understanding of perceived enjoyment which had no direct effect on adoption intention but a significant effect on perceived ease of use and usefulness. Social influence reduces perceived risk, and further contribution is made by noting that perceived enjoyment lowers perceived risk.     

Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior

Previous research has shown that consumer intentions to adopt innovations are often poor predictors of adoption behavior. An important reason for this may be that the evaluative criteria consumers use in both stages of the adoption process weigh differently. Using construal level theory, we develop expectations on the influence of innovation characteristics across the intention and behavior stages of the adoption process. Using meta-analysis, we derive generalizations on drivers of intentions and actual innovation adoption behavior. The results show important differences across both stages. Consumers show higher levels of adoption intention for innovations that are more complex, better match their needs, and involve lower uncertainty. However, consumers are found to actually adopt innovations with less complexity and higher relative advantages. Adopter demographics are found to explain little variance in adoption intention and behavior, whereas adopter psychographics are found to be influential in both stages. These findings have implications for innovation adoption theory, for managers involved in new product and service marketing, and for future research on innovation adoption.     

Acceptance of New Food Products: Reference Prices and Psychological Moderators of Heterogeneous Price Effects

This paper emphasizes a consumer-centered perspective to understand new food product success. It pursues two central objectives by showing that consumers are more likely to interpret new product prices as offering gains or losses depending on their individual purchase histories, and consumer psychographics are demonstrated to affect new product adoption directly, and/or moderate effects of prices and promotions as well as quality signalling product attributes. Several hypotheses are generated based on explanations of underlying psychological mechanisms. For data analysis a cross-classified random effects model is applied to household panel data on yoghurt and sausages that includes four crossed random factors. The findings confirm that inclusion of consumer-specific price information is beneficial for understanding new food products’ adoption behavior. Monetary losses as well as gains negatively affect adoption. Purchase habits also hinder adoption while consumer innovativeness is an important driver. Price consciousness and purchase habits moderate price and promotion effects. While price consciousness reinforces negative effects of prices and positive effects of promotions, habits hinder positive effects of promotions. This implies that introductory promotions are an inappropriate strategy for attracting habitual consumers, and managers should identify appropriate target groups in order to improve the efficiency of introductory promotions.     

An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets

Foreign nationals often have no other choice than to adapt themselves to technological innovations of their host countries. This is particularly the case of individuals who are exposed temporarily to the world’s cashless societies where mobile wallets are the dominated payment method. Yet, little is known regarding continuous usage intentions among these individuals who have accumulated experience interacting with mobile wallets.This study explores how relative convenience, relative advantage, perceived privacy, and perceived security influence 'renewed adoption' of mobile wallets among experienced users of the leading Chinese mobile wallets. It also explores the best predictors of the renewed adoption intention of mobile wallet technology among these users. The results of this study show that each of the independent variables positively influences renewed adoption intentions. The results also show that relative advantage and perceived security as the best predictors of renewed adoption intention of mobile wallets. Based on the results of this study, practical and theoretical implications are provided.     

Does one model fit all? Exploring factors influencing the use of blogs,social networks,and wikis in the enterprise

Enterprise social media (ESM) have become increasingly widespread, but many intranet communities barely survive, miss their initially planned targets, or are even terminated. Research on technology acceptance can be a useful approach to improve adoption rates, but more empirical research needs to be conducted to examine factors driving the adoption of enterprise social media. To address this gap, we develop a model of individual ESM adoption, including technological and individual factors based on findings from collaboration and knowledge-sharing research. Because different ESM tools, such as blogs, social networks, and wikis, can be employed for fundamentally different uses, we explain differences between individual adoptions of the three technologies by identifying their uses and gratifications from the perspective of employees. The model is tested in three parallel studies, one for blogs, social networks, and wikis each, among employees of an international technology company in the pre-implementation phase. We find substantial differences between the factors influencing the intention to adopt the three applications. This provides the basis to employ the applications in a more effective way by considering organizational and employee needs.     

Examining the context-specific reasons and adoption of artificial intelligence-based voice assistants: A behavioural reasoning theory approach

AI-based voice assistants are some of the most popular consumer products of artificial intelligence technology. This study investigates the influence of the reasoning process on overall consumer attitudes and adoption intentions towards AI-based voice assistants. Behavioural reasoning theory was applied to hypothesize relationships between values, context-specific reasons, attitudes, and adoption intention. Partial least squares structural equation modelling was used to test the research model and hypotheses using data from 550 potential consumers in India. This research suggests a positive influence of consumers' ‘reasons for’ on their attitude and adoption intentions towards AI-based voice assistants, as well as a favourable impact of consumers' values on ‘reasons for’. This study discovered that ‘reasons for’ and ‘reasons against’ are not only opposites but are entirely autonomous and have an independent impact on consumers' attitudes towards AI-based voice assistants. This research improved our understanding of AI-based product adoption by identifying the paramount role of consumers' values and the ‘reasons for’ and ‘reasons against’ in shaping their attitudes and adoption intentions towards AI-based voice assistants.     

Discovery sustainable servicescape on behavioural intention practices and nationality: The moderating role of parasocial interaction

The application of marketing strategies and advance technology to encourage customers’ sustainable behaviour intentions is a critical issue and is receiving increasing attention in terms of sustainable hotel operations and resource allocation. This study used structural equation modeling (SEM) in analyzing the data drawn from a survey of 792 experienced respondents. Results suggest that 7P marketing strategy has significant indirect influence on the behavioural intentions of word-of-mouth (WOM) and hotel booking intention through the positive and significant mediating effects of perceived trust, performance expectancy, gratification, values of nature, and voluntary reduction in tourist eco-behaviour (VRTE). However, VRTE has insignificant mediation effect on the relationship between perceived trust and performance expectancy. This is the same with performance expectancy that has insignificant indirect effect from VRTE to behavioural intentions. Furthermore, parasocial interaction is confirmed to moderate the relationship between performance expectancy and behavioural intentions. The current research presents several theoretical implications in the research field and management implications for sustainable hotel managers and recommendations for future research directions.     

Understanding the intention to use mobile shopping applications and its influence on price sensitivity

This study employs an extended technology acceptance model (TAM) and the theory of diffusion of innovations (DOI) to understand the intention to use mobile commerce applications for shopping purposes. The variables—perceived enjoyment, perceived risk and personal innovativeness—were added to the original model. The price sensitivity criterion was predicted using the variables—perceived risk, personal innovativeness, satisfaction and the intention to use. An online questionnaire was circulated nationwide through email to verified e-commerce users and a sample of 675 respondents was taken for analysis through structural equation modeling approach. Gender, experience and frequency of using mobile shopping applications were used as moderators for all relationships. Findings of this study reveal that personal innovativeness and perceived risk play a major role in deciding the intention to use mobile shopping applications. Users who are highly innovative and with a higher intention to use mobile shopping applications are less sensitive to price. Various managerial implications including applications to differential pricing, improving adoption pace and segmenting consumers to design marketing strategies are discussed.     

An acceptance model for an Internet protocol television service in Korea with prior experience as a moderator

This study examines the effect of users' prior experience on the adoption behaviour in the Internet protocol television (IP TV) service domains. This article proposes a new acceptance model for an IP TV service considering the moderating effect of experience and verifies the model with an empirical study. Respondents are classified into either experienced or inexperienced groups according to their prior experience with the IP TV service. The results indicate that motivational factors used in our study affect behavioural intention. In addition, this study shows that the influence of extrinsic motivational factors on the behavioural intention are stronger for the experienced group than the inexperienced group and the influence of intrinsic motivational factors on the behavioural intention are stronger for the inexperienced group than the experienced group. This article concludes with study implications, as well as limitations and future research directions.     

Understanding the Factors That Affect the Adoption of Innovative High-Technology Brands: The Case of Apple iPhone in Malaysia

ABSTRACT

The purpose of this study is to examine how innovation attributes, social influence, and perceived risk can affect technology brand adoption. The impact of innovation attributes, social influence, and perceived risk on iPhone adoption has been tested through series of tests (i.e., reliability, exploratory factor analysis, confirmatory factor analysis, correlations, multiple regression analysis, and moderation effect of gender). The sample consists of 134 Malaysian students. Results revealed the importance of relative advantage, trialability, and social influence as key constructs in adoption intention. The study also showed that gender of the consumer has no moderating effect on the adoption intention. Practical guidelines are provided to marketing managers on how to use those factors to increase the adoption of new brands among customers.     

Linking trust to use intention for technology‐enabled bank channels: The role of trusting intentions

The present research is an attempt to better understand the role of trust in the adoption of technology‐based service channels, namely Internet and phone banking. The study conceptualizes and measures trust, distinguishing the cognitive and affective component of trust (the trusting beliefs), the behavioral component of trust (trusting intentions), and the purchase behavior (intention to use), suggesting a mediating role of trusting intentions. Then it tests a model that combines the effect of trusting beliefs and trusting intentions together with the Technology Acceptance Model variables, privacy, and security as well as individual characteristics. Results from 762 retail bank customers revealed a strong mediating role of trusting intention on the intention to use and similar patterns of relationship for the two technology‐based bank channels. Several implications for managers and further research are discussed. © 2010 Wiley Periodicals, Inc.     

An Investigation of the Relationship Between Need for Affect and Responses to Alcohol Public Service Announcements

ABSTRACT

The study investigates the impact of the Need for Affect personality construct on the processing of advertisements. The purpose of the present study is to gain a better understanding of how need for cognition, sensation seeking, and affect intensity as well as prior product use influence consumer responses to public service announcements. Specifically, the study attempts to improve the understanding of factors that should be considered in efforts to successfully demarket alcohol abuse among college students. The variables of need for cognition, sensation seeking, affect intensity, prior product use, memory of the advertising message, attitude toward the ad, intention to behave, and behavior are linked to create a multidimensional model. Results of the study indicate that high levels of sensation seeking and prior product use are the best predictors of behavior involving the specific product of alcoholic beverages. Need for cognition and affect intensity are not good predictors of behavior involving the specific product of alcoholic beverages. Sensation seeking is also an important indicator for prior product use of alcoholic beverages and intention to buy and consume alcoholic beverages. Although affect intensity does not have a significant effect on behavior, it does have a significant effect on memory of the advertising message.     

To Be or Not to Be in Thrall to the March of Smart Products

This article explores how perceived disempowerment impacts the intention to adopt smart autonomous products. Empirically, the paper builds on three studies to show this impact. Study 1 explores the relevance of the perceived disempowerment in respect of smart autonomous products. Study 2 manipulates autonomy of smart products and finds that perceived disempowerment mediates the link between smart products’ autonomy and adoption intention. Study 3 indicates that an intervention design―that is, a product design that allows consumers to intervene in the actions of an autonomous smart product―can reduce their perceived disempowerment in respect of autonomous smart products. Further, Study 3 reveals that personal innovativeness moderates the role that an intervention design plays in product adoption: an intervention design shows a positive effect on adoption intention for individuals with low personal innovativeness, but for those with high personal innovativeness no effect of an intervention design is present on adoption intention. The authors suggest that managers consider consumers’ perceived disempowerment when designing autonomous smart products, because (1) perceived disempowerment reduces adoption and (2) when targeted at consumers with low personal innovativeness, an intervention design reduces their perceived disempowerment.