Search results

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.

This research investigates apparel consumers' psychological and behavioral responses to omnichannel (OC) integration. Specifically, the study applies the cognitive–affective–conative (CAC) model to reveal consumers' decision-making process under the impact of channel integration quality (CIQ), perceived fluency (PF) and cognitive and affective trust (AT).

Primary data were collected through an online survey. In total, 657 eligible responses were received. This study applied partial least square structural equation modeling for data analysis.

The findings demonstrate that the extrinsic cognitive factor, CIQ, substantially affects consumers' intrinsic cognition (cognitive trust [CT] and PF), which consequently fosters consumers' AT and shopping intentions. Specifically, integrated promotion and transaction information positively affects CT, while integrated product and price and information access negatively impact CT. All the dimensions of CIQ, except integrated promotion (IP), significantly affect PF. CT and AT exhibit mediation effects in the CAC model.

Apparel brands and retailers may apply the findings to effectively design their retail channels and implement channel integration to boost consumers' shopping intentions and trust.

This study is one of the pioneering studies applying the CAC model to empirically examine OC consumers' decision-making process. It is also among the first to determine that cognitive and AT have theoretical distinctions in the OC retailing setting.

Understanding customer behavior from the perspective of channel integration has become a major stream of research in multi-channel retailing literature. Yet, despite recent advancements in scholarship, how retailers can most effectively sustain customers in online retailing remains unclear. Scholars have suggested online–offline channel integration (OOCI) as an effective multi-channel approach for increasing online loyalty; yet, few studies have explored OOCI's influencing mechanism. This study addresses that gap by investigating how OOCI helps achieve customer loyalty online and further examines the moderating role of retailer credibility in the influencing mechanism of OOCI.

The research model driving this study draws upon the stimulus-organism-response (S-O-R) model and cue consistency theory. The authors collected a sample of 259 customers in China with experience making multi-channel purchases from retailers that have implemented OOCI in online retailing. Structural equation modeling and response surface analyses were employed to conduct data analysis.

The results revealed that the relationship between OOCI and customers' online channel loyalty was mediated by customers' perceptions of the usefulness and risks of online channel usage. The results also found that congruence and incongruence between informational OOCI (IOOCI) and fulfillment OOCI (FOOCI) had different curvilinear associations with perceived online channel usefulness and perceived online channel risk. In addition, retailer credibility weakened the effects of IOOCI on perceived online channel usefulness and FOOCI on perceived online channel risk but strengthened the effect of IOOCI on perceived online channel risk and had no impact on the effect of FOOCI on perceived online channel risk.

Theoretical and practical implications of this study are also discussed.

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.

No studies in the extant literature have explored the role of media richness, i.e., the ability of media to enhance understanding among communication partners in a timely manner, in determining customer loyalty to mobile instant messaging (MIM). Grounded in media richness theory, the purpose of this paper is to examine how media richness influences customer perceived values, consequently contributing to customer loyalty to MIM.

Collecting data by an online survey, the authors apply partial least square procedures for hypothesis testing.

The authors obtain the following findings: multiple cues are positively related to functional value; immediate feedback is positively related to social value; personal focus is positively related to self-expressive value; language variety is positively related to all the above values that lead to user loyalty; and language variety has the strongest effect on user loyalty to MIM.

A first attempt to examine the impact of media richness on user loyalty to MIM, this study provides insights for MIM service providers to make decisions to build loyal user bases.

The purpose of this paper is to investigate the relationship between the richness of information and the satisfaction of participants in an online community regarding archive management in Taiwan.

An investigation was deployed to attendants in 20 training courses created by the National Archives Administration (NAA) in Taiwan for records staff on the topic of digital preservation. The responses were collected from respondents who were participating in an online community for archive management. Through structural equation modeling method, this study examined the effects of channel richness, information transparency and accessibility of archive to brand image and trust and then continued to the satisfaction of professional participants to archive management in an online community.

Appropriate disclosure of information regarding archiving can effectively improve the satisfaction of participants in the online community to archive. Channel richness of communication, information transparency and accessibility of archive significantly affect the brand image of archive and the trust of participants to archivists and finally affect the satisfaction of participants in the online community towards archive management.

The larger the amount of information exchanged, the more the trust among participants and the better brand image of the archives. The more trust and brand image exists among participants, the more satisfaction they will obtain from archive management.

The results can provide a strategic direction for managers of the national archive and the online community in government agencies to allocate resources for enhancing the information richness and the image of archive as well as achieving the satisfaction of participants in the professional community.

Online gamers form communities and offer game makers various revenue sources. Gamers' continual revenue contributions should depend on their commitment to gaming communities (CGC), where they rely heavily on communication media that carry rich information or provide enhanced media richness. However, no study has yet examined how to use the four elements of media richness to fuel gamers' CGC, revealing a research gap. Seeking to fill this gap, this study constructs a research framework and formulates hypotheses based on media richness theory (MRT).

This study obtained responses from 1,971 online gamers and applied structural equation modeling to test the hypotheses.

This study finds that the four media richness elements have selective impacts on network convergence and interdependence that result in CGC. Moreover, compared with interdependence, network convergence has a stronger impact on CGC.

The findings offer online game makers insights that will enable them to design the communication functions in games to support the formation of strongly connected gamer communities. Moreover, the findings advance MRT by showing its ability to explain the formation of online gaming communities.

The purpose of this study was to investigate the online shopping intention of customers by watching artificial intelligence (AI)–based deepfake video advertisements using media richness (MR) theory and Information Manipulation Theory 2 (IMT2).

A conceptual model was developed to understand customers' online shopping intention by watching deepfake videos. A quantitative survey was conducted among the 1,180 customers using a structured questionnaire to test the conceptual model, and data were analyzed with partial least squares structural equation modeling.

The outcome of this research provides the antecedents of the online shopping intention of customers after watching AI-based deepfake videos. These antecedents are MR, information manipulation tactics, personalization and perceived trust. Perceived deception negatively influences customers' online shopping intention, and cognitive load has no effect. It also elucidates the manipulation tactics used by the managers to develop AI-based deepfake videos.

The distinctive model that emerged is insightful for senior executives and managers in the e-commerce and retailing industry to understand the influence of AI-based deepfake videos. This provides the antecedents of online shopping intention due to deepfakes, which are helpful for designers, marketing managers and developers.

The authors amalgamate the MR and IMT2 theory to understand the online shopping intention of the customers after watching AI-based deepfake videos. This work is a pioneer in examining the effect of AI-based deepfakes on the online shopping intention of customers by providing a framework that is empirically validated.

This study aimed to develop and validate an online live streaming perceived servicescape (OLSPS) scale that can help platform service providers to develop strategies for new live streaming channel promotions.

This study conceptualized the construct of OLSPS and the four-phase procedure of the 66-item OLSPS scale development, including item generation, item purification, scale validation, measure application and testing of hypotheses. It also provided a research framework to assess audiences' cognition and behavioral intention, and an online survey on 420 live streaming users (social platforms, n = 210; native platforms, n = 210) was conducted.

This study developed and validated a 35-item OLSPS scale with eight dimensions. The results of the empirical model showed that OLSPS is positively correlated with the audiences' cognition and behavioral intention. Furthermore, parasocial interaction experience showed a positive moderation on channel trust.

This study is a pioneering effort to develop and validate an OLSPS scale. The results could be helpful for researchers in building OLSPS and for managers in assessing and promoting users' acceptance of online live streaming platforms.