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The purpose of this paper is to identify the differences in the perceived media richness of three marketing channels by different consumer generations as well as to indicate the importance of the perceived media richness of each of channel for the intention of online use at pre-purchase stage.

The study is based on a sample of 1,103 consumers in Poland, which research sample included three generations: Baby Boomers, X generation and Y generation. Computer-assisted personal interview method was used with a standardised questionnaire; the research sample was determined using a quota-random method, with the quotas referring to age and gender and the nature of the place of residence (provincial town, town/city other than a provincial one, or a village) – the structure of the sample was maintained at the regional level.

Analysed channels (online, offline, phone) have different perceived media richness. Consumers from different generations can perceive media richness of the same marketing channels in various ways. Perceived media richness of the analysed marketing channels has an impact on the intention to use the channel online.

First, the fact of blurring differences between consumers generation, particularly X and Y generation. As well the fact that each generation has identified an internal diversity. Second limitation refers to the type of marketing channels included in research. Finally, limitation also applies to spatial extent of the study. The above limitations can also be some directions of future research – taking into account some other marketing channels and verifying the conclusions on other consumer groups.

General recommendation refers to the need for treating customers in each marketing channel in the same way – immediate response is one of the aspects of this recommended unified customer service in multichannel environment. Online channel communications with customers should be supported by giving consumers more personalised communication via phone, chat and social media. For older consumers, it is recommended to gradually redirect them to an online channel. Information search is a good start for online customer journey, because this channel at the pre-purchase stage is the most useful and least risky for the consumer unfamiliar with online environment.

Better understanding of the needs of different customers generations and their perception of different marketing channel at the pre-purchase stage.

Identification of intergenerational differences in the perception of media richness of online, phone and offline channels.

Against the background of industrialisation and modernisation of agriculture, food production issues and environmental hazards have become more and more obvious and consumers are increasingly concerned about food safety and health, which is strengthening demand for organic food. E-commerce provides a new channel for sales. Research on consumer trust in online organic food sales is the basis of network marketing. The paper aims to discuss these issues.

A laboratory experiment was used to empirically test the effects of media richness on consumers’ trust and the moderating effect of online review length. A 2×2 factorial design (i.e. two types of online product presentation formats (between-subject)×two levels of online review lengths (between-subject)) was used.

Media richness has a significant positive effect on consumers’ trust and that this effect is moderated by online review length. Meanwhile, perceived risk conveys the interaction effect of the media richness of online product presentation and online review length to trust.

E-commerce websites should aim to promote organic food by using a variety of online product presentation formats and by presenting high quality online reviews in order to reduce consumers’ perceived risk and improve their degree of trust when buying online.

This paper provides a new insight into consumers’ attitude of buying organic food online. The results of the research could provide proposals for promoting organic food sales online.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to test whether network externality, gamification and media richness as environmental feature antecedents to learners' learning engagement (LE) can affect their continuance intention of massive open online courses (MOOCs).

Sample data for this study were collected from learners who had experience in taking the gamified MOOCs provided by the MOOC platform launched by a well-known university in Taiwan, and 315 usable questionnaires were analyzed using structural equation modeling in this study.

This study verified that learners' perceived network externality, gamification and media richness in MOOCs positively influenced their behavioral LE, emotional LE and social LE elicited by MOOCs, which collectively caused their continuance intention of MOOCs. The results support all proposed hypotheses, and the research model accounts for 75.6% of the variance in learners' continuance intention of MOOCs.

This study uses the S-O-R model as a theoretical groundwork to construct learners' continuance intention of MOOCs as a series of the internal process, which is influenced by network externality, gamification and media richness. Noteworthily, three psychological constructs, behavioral LE, emotional LE and social LE, are employed to represent learners' organisms of MOOCs usage. To date, the concepts of network externality, gamification and media richness are rarely together adopted as environmental stimuli, and psychological constructs as organisms have received lesser attention in prior MOOCs studies using the S-O-R model. Hence, this study's contribution on the application of capturing psychological constructs for completely expounding three types of environmental features as antecedents to learners' continuance intention of MOOCs is well documented.

Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications.

Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes.

The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship.

The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions.

This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).

Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers.

A field survey of 391 smart speaker users were obtained. Partial least squares structural equation modeling was used to analyze the data.

Media richness (social cues) and parasocial interactions (social role) are key determinants affecting the establishment of trust, perceived usefulness and perceived ease of use, which, in turn, affect attitude, continuance usage intentions and online purchase intentions through AI assistants.

AI assistant-enabled smart speakers are revolutionizing how people interact with smart products. Studies of smart speakers have mainly focused on functional or technical perspectives. This study is the first to propose a comprehensive model from both functional and social perspectives of continuance usage intention of the smart speaker and online purchase intentions through AI assistants.

Television (TV) shopping has notably changed human shopping behaviors. However, despite its significant advantages, TV shopping still faces many challenges in promoting customer purchase behavior. The purpose of this paper is to explore the synergy effect of trust with other beliefs on purchase intention in TV shopping. Other beliefs, including perceived media richness, perceived price fairness, perceived convenience and perceived host interaction, were tested as the synergy factors in the proposed model.

A hierarchical moderator regression analysis was conducted, and data on the TV shopping habits of 428 customers in Taiwan were examined.

The findings of the study revealed that trust synergizes perceived price fairness and perceived host interaction rather than perceived media richness and perceived convenience to enhance purchase intention in TV shopping.

This study confirmed the assumption that trust synergizes the beliefs (i.e. perceived price fairness and perceived host interaction) to enlarge purchase intention in TV shopping.

This study suggests that service providers need to prioritize concerns to build trust with customers to encourage purchases during TV shopping. They should also actively promote fair prices and invite famous people to serve as hosts to motivate purchases in TV shopping.

This study advances the knowledge of the trust theory and the synergy model by examining the synergy effect of trust with other beliefs in TV shopping.

Due to the rapid pace of development and innovation in information technology, the dedicated electronic book (e‐book) reader has become a new trend in reading. However, at present there is only a limited understanding of what factors drive user attitudes/willingness to use this new device for reading. Hence, this paper aims to explore what factors drive users to use dedicated e‐book readers for reading.

The study proposes a causal model that explores how convenience, compatibility, and media richness affect users' attitudes towards the dedicated e‐book readers for reading.

The results of this study suggest that convenience, compatibility, and media richness all significantly contribute to dedicated e‐book reader acceptance.

The study extends previous theories: the Technology Acceptance Model, Innovation Diffusion Theory, media richness theory and convenience. This helps one to better understand what factors affect usage of the dedicated e‐book readers, an important topic for current and future research.

The findings outline and describe how the dominant factors affect users' attitudes towards adoption of the dedicated e‐book readers for reading. By considering factors such as ease‐of‐use, usefulness, convenience, compatibility, media richness, etc., in the stage of product development, practitioners can provide dedicated e‐book readers that customers will readily accept.

These findings will enable development of a more robust understanding of attitudes toward dedicated e‐book readers and will be helpful to developers researching e‐book hardware and software as well as to researchers interested in testing related theories.

Previous studies have attempted to address online uncertainties from the relationship marketing perspective. The purpose of this paper is to argue that the integration of media richness theory (MRT) and cognitive fit theory (CFT) can contribute a new perspective in addressing consumers’ transaction-specific uncertainties in online retailing.

On the basis of MRT and CFT, a research model was developed by correlating online channel media richness (OCMR), online–offline information integration (OOII), information privacy concern, perceived deception and online loyalty. The model was empirically examined based on survey data collected from 258 multi-channel consumers in China.

An analysis of structural equation model showed that OCMR is negatively associated with information privacy concern and perceived deception but is not significant to online loyalty. Information privacy concern has a negative influence on online loyalty, but the effect of perceived deception is not significant. Moreover, information privacy concern is positively related to perceived deception. The OOII strengthens the influence of OCMR but not the moderating effect of integrated promotion, product and price information on the relationship between OCMR and online loyalty.

This study contributes to the extant literature on online retailing by examining the effect of OCMR on online transaction uncertainties. Information integrity in the form of OOII was proposed to complement OCMR. Results have shown that OCMR is significant in reducing online uncertainties, and OOII strengthens this effect, thereby enhancing online loyalty.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether media richness and social interaction as environmental feature antecedents to nurses’ learning engagement (LE) can affect their continuance intention of massive open online courses (MOOCs) and task performance.

Sample data for this study were collected from nurses at five university-/medical university-affiliated hospitals in Taiwan. A total of 500 questionnaires were distributed, and 303 (60.6%) usable questionnaires were analyzed using structural equation modeling in this study.

This study proved that nurses’ perceived media richness and social interaction in MOOCs positively influenced their behavioral LE and psychological LE elicited by MOOCs, which jointly caused their continuance intention of MOOCs and, in turn, enhance their task performance. The results support all proposed hypotheses and the research model, respectively, explains 84.3% and 63.7% of the variance in nurses’ continuance intention of MOOCs and task performance.

This study uses the S-O-R model as a theoretical base to frame nurses’ continuance intention of MOOCs and task performance as a series of the internal process, which is affected by environmental stimuli (i.e. media richness and social interaction) and organismic states. Noteworthily, while the S-O-R model has been extensively used in prior literature, little research uses this paradigm to expound nurses’ continuance intention of MOOCs in the work settings. Besides, there is a dearth of evidence on the antecedents of nurses’ task performance in the context of MOOCs. Hence, this study’s empirical evidence contributes significantly to the existing literature on bridging the gap of limited evaluation for the research on the impact of nurses’ MOOCs learning on their task performance in the work settings, which is very scarce in the S-O-R view.

Mobile instant messaging (MIM) apps could provide rich and instant information in employees’ communication. However, how media richness impacts MIM user loyalty is unknown. The purpose of this paper is to adopt media richness and social presence theories as theoretical foundations to address this insufficiency.

Collecting 247 responses from an online survey, the authors use structural equation modelling for data analysis and hypothesis testing.

The authors found that immediate feedback and personal focus are the main aspects of media richness that are positively related to social presence, relatedness need satisfaction and user loyalty to MIM.

This is the first study using two pertinent theories to explain how aspects of media richness affect user loyalty to MIM. The present findings suggest that firms developing MIM apps focus on immediate feedback and personal focus as effective means to encourage user loyalty.