Search results

Little research has been done to understand how individual elements (e.g. advertisements) within a webpage are processed and evaluated when visual complexity is increased. Thus, this study aimed to investigate how consumers allocate attention and evaluate products and advertisements on complex webpages when they are casually browsing.

This study conducted two experiments to test the causal effects of different degrees of visual complexity on consumer responses to products and advertisements. An eye-tracking experiment (n = 90) and a follow-up online experiment (n = 121) were conducted using undergraduate students as participants.

Participants formed a global impression from the overall webpage complexity, which spilled over to evaluation of individual elements on the webpage (e.g. product, advertisement). The inverted U-shaped relationships (vs. linear negative relationships) between webpage visual complexity and attitude toward the webpage, products, and advertisements were observed. The focal product was given a consistent level of attention regardless of the complexity level.

This study provides implications for website organization and design to maximize positive consumer experiences and marketing effectiveness. The findings provide implications for retailers and advertisement buyers.

This study expanded the knowledge by examining the interplay between individual elements of webpages and the whole webpage complexity when consumers browse visually complex webpages. It is a novel finding that the overall webpage complexity effect spills over to locally attended products or advertisements.

This study is to propose a more effective and efficient analytic methodology based on within-site clickstream associated with path visualization to explore the channel dependence of consumers' latent shopping intent and the related behaviors, with which in turn to gain insight concerning the interactivity between webpages.

The primary intention of the research is to design and develop a more effective and efficient approach for exploring the consumers' latent shopping intent and the related behaviors from the clickstream data. The proposed methodology is to use text-mining package, consisting of the combination of hierarchical recurrent neural networks and Hopfield-like neural network equipped with Laplacian-based graph visualization to visualize the consumers' browsing patterns. Based on the observed interactivity between webpages, consumers' latent shopping intent and the related behaviors can be understood.

The key finding is to evidence that consumers' latent shopping intent and related behaviors within website depend on channels the consumers click through. The accessing consumers through channels of paid search and display advertising are identified and categorized as goal-directed and exploratory modes, respectively. The results also indicate that the effect of the content of webpage on the consumer's purchase intent varies with channels. This implies that website optimization and attribution of online advertising should also be channel-dependent.

This is important for the managerial and theoretical implications: First, to uncover the channel dependence of consumer's latent shopping intent and browsing behaviors would be helpful to the attribution of the online advertising for the sales promotion. Second, in the past, webmasters did not understand users' preferences and make decisions of reorganization purely on the user's browsing path (sequential page view) without appraising psychological perspective, that is, user's latent shopping intent.

This study is the first to explore the channel dependences of consumer's latent shopping intent and the related browsing behaviors through within-site clickstream associated with path visualization. The findings are helpful to the attribution of the online advertising for the sales promotion and useful for webmasters to optimize the effectiveness and usability of their websites and in turn promote the purchase decision.

To investigate the psychological mechanism of observational learning in the online retailing context, the purpose of this paper is to show how the psychological distance between consumers and products affects modes of observational learning.

Five experimental studies are conducted to test the hypotheses.

The findings show that which modes of observational learning are adopted by consumers is affected by consumers’ psychological distance. Specifically, when the psychological distance between consumers and products is proximal, consumers tend to adopt the termed adequate observational learning mode by considering the interaction of information about popularity and the breadth of appeal of a product to make purchase. However, when the psychological distance is distal, consumers would consider information of popularity and breadth of appeal separately without considering the interaction, termed as inadequate observational learning mode. The observed relationship between psychological distance and observational learning mode could be explained by the construal level.

This research advances the observational learning and psychological distance literature by investigating the psychological mechanism behind observational learning modes. Limitations include the use of scenario-based experiments to test the hypotheses, investigation of a single product attribute (i.e. breadth of appeal) and assessment of popularity information by sales volume alone.

The current research provides a deeper understanding of consumer observational learning modes, which can help online retailers to develop effective product strategies and marketing tactics and, finally, achieve stronger competitive positions.

The present research contributes to the literature by examining the psychological mechanism involved in observational learning. This research distinguishes adequate and inadequate observational learning modes from the perspective of psychological distance.

Information asymmetry is an inevitable issue in e-commerce and largely hampers the development of online shopping. The purpose of this paper is to propose a model to investigate the emotional content of online customer reviews, which are considered an efficient way to reduce information asymmetry, as a potential signal of product quality. The moderating effects of perceived empathy and cognitive effort are also explored on the basis of signaling theory.

A laboratory experiment with 120 subjects was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to two treatment groups, with 60 subjects in each group. ANOVA, linear regression and binary logistic regression were used.

The emotional content of online customer reviews positively influences perceived product quality, which subsequently and positively affects purchase decisions. The emotional content of online customer reviews greatly influences perceived product quality when perceived empathy or cognitive effort is high.

This study is the first to extend extrinsic cues to emotional content on the basis of signaling theory and reveals the important role of emotional content of reviews. Moreover, the mediating effect of perceived product quality and the moderating effect of perceived empathy and cognitive effort illustrate the mechanism of the influence of emotional content on purchase decision. Findings demonstrate the positive signal of emotional content and provide important practical implications for sellers and customers.

This paper aims to improve understanding of the reasons why people trust the information about product recommendations on social shopping networks of websites, a new e‐commerce method which combines social networking and shopping, and to investigate the impact of the trust on the consumers' intention to purchase products from the online shop of a website.

An online survey instrument was developed to gather data, and 1,219 questionnaires were used to test the relationships in the proposed model.

The results indicated that perceived ability, perceived benevolence/integrity, perceived critical mass, and trust in a website were four important antecedents of trust in product recommendation in a social networking site. In addition trust in product recommendations can influence the consumers' intention to purchase from the website through increasing their intention to purchase the products.

The research model demonstrated the importance of trust in product recommendations to online consumers' transaction intention.

The results of the study showed that trust in product recommendations will influence consumers' purchase intentions. Therefore a social shopping website or the websites transforming into social shopping websites should put more emphasis on ways to establish the virtual communities or social networks which can provide the information about product recommendations that consumers trust.

The study provides a comprehensive framework of the antecedents and effects of consumers' trust in recommendations in the context of social shopping.

Increasing consumer skepticism of corporate behavior has led companies to actively manage and advertise their corporate brands. However, it remains unclear how receptive consumers across different markets are to such efforts. The purpose of this paper is to demonstrate differences and similarities between corporate and product advertising by examining consumer ad involvement (AI) levels (a motivational state activated by the personal relevance of stimuli) and its antecedents and consequences for these ad types across two markets with varying degrees of economic development.

Using a 2 (ad type: corporate vs product) × 2 (market type: developed vs emerging) between-subject experimental design, the study was conducted in two markets with varying degrees of economic development, specifically, the USA (n=285) and Pakistan (n=311).

Results show that consumer involvement with corporate ads varies for developed (USA: high) and emerging (Pakistan: low) markets but that it remains the same for product ads across markets. Developed market consumers tend to be as involved with corporate ads as they are with product ads, whereas emerging market consumers are more involved with product ads than with corporate ads. Aside from differences in involvement levels, the findings demonstrate substantial similarities in the antecedents and consequences of consumer involvement for both ad (corporate vs product) and market (developed vs emerging) types.

With advertising and communication campaigns increasingly being standardized across different markets, this study demonstrates that corporate messages do not function similar as product messages across markets. For effective corporate campaigns, ad designs should fit with the motivation levels of the target consumers across markets.

This study demonstrates the differences and similarities between corporate and product AI across a developed and an emerging market.

This study aims to investigate consumer knowledge of environmentally sustainable apparel (ESA) and examine the impact of communication on consumer knowledge of ESA.

This study employed a quantitative survey focused on Millennial and Generation Z consumers. Two communication methods, hangtags and product webpages, were involved. First, two instruments were established to measure consumers’ objective and subjective knowledge of ESA. Second, two questionnaires were developed to collect participants’ knowledge before and after reading hangtags or product webpages.

There were 385 useable responses. It was found that participants’ knowledge about waste and cotton production’s water issues was less than their knowledge of other subjects and did not increase after reading the related information on hangtags or webpages. Participants’ subjective knowledge was significantly higher than their objective knowledge after communication. The positive effects of communicating with consumers via hangtags and webpages on consumers’ subjective knowledge were confirmed. Additionally, the ESA information provided via hangtags was more effective than webpages in improving consumers’ objective knowledge.

This study makes up for the deficiency in the literature. It provides in-depth insights on consumers’ knowledge of ESA by investigating consumer knowledge before and after communication based on consumer knowledge structure. The textile and apparel industry can use this study’s findings to improve communication with consumers and aid in sustainable product distribution.

The purpose of this paper is to explore how corporate heritage identity (CHI) implementation strategies are communicated by Grundfos, a 70-year-old global company from Denmark, in their internal history references.

Drawing on an interdisciplinary methodological framework related to heritage identity communication, hypertextuality, and multi-modality, it proposes a multi-leveled analysis model through which communicative strategies are explored at the level of four semiotic modes (written text, speech, still image, and moving image) and at the level of their hypermodal interplay.

This exploratory case study explains how CHI implementation strategies are communicated in accordance with the potential and constraints of semiotic modes and hyperlinking affordances. The analytical work suggests that the management employs complex CHI implementation strategies in order to strengthen organizational identity and to influence employees’ identification with the company across past, present, and future.

By examining the semiotic modes’ interconnectivity and functional differentiation in a hypermodal context, this paper expands existing research by extending the multi-modal focus to a hypertextual one.

By exploring CHI implementation strategies from a hypermodal perspective and by providing a replicable model of hypermodal analysis, this paper fills a gap in the heritage identity research. Furthermore, it can also be of value to practitioners who intend to design company webpages that strategically communicate heritage identity implementation strategies in order to engage the employees in the company’s heritage.

One of the contributions of artificial intelligent (AI) in modern technology is emotion recognition which is mostly based on facial expression and modification of its inference engine. The facial recognition scheme is mostly built to understand user expression in an online business webpage on a marketing site but has limited abilities to recognise elusive expressions. The basic emotions are expressed when interrelating and socialising with other personnel online. At most times, studying how to understand user expression is often a most tedious task, especially the subtle expressions. An emotion recognition system can be used to optimise and reduce complexity in understanding users' subconscious thoughts and reasoning through their pupil changes.

This paper demonstrates the use of personal computer (PC) webcam to read in eye movement data that includes pupil changes as part of distinct user attributes. A custom eye movement algorithm (CEMA) is used to capture users' activity and record the data which is served as an input model to an inference engine (artificial neural network (ANN)) that helps to predict user emotional response conveyed as emoticons on the webpage.

The result from the error in performance shows that ANN is most adaptable to user behaviour prediction and can be used for the system's modification paradigm.

One of the drawbacks of the analytical tool is its inability in some cases to set some of the emoticons within the boundaries of the visual field, this is a limitation to be tackled within subsequent runs with standard techniques.

The originality of the proposed model is its ability to predict basic user emotional response based on changes in pupil size between average recorded baseline boundaries and convey the emoticons chronologically with the gaze points.

The purpose of this paper is to explain how Edith Cowan University (ECU) Library improved the accessibility of their web site, aiming for Web Content Accessibility Guidelines (WCAG) version 2.0 Level AA. It describes the results obtained.

Initial testing by consultants was conducted in October 2012. The web site was defined as all webpages which appear part of the library web site, including supplier webpages, plus pages from the university web site and library web site. Library staff applied the recommendations to pages which they could edit, and discussed the recommendations with suppliers to improve their product ' s accessibility. The web site was re-tested in June 2013.

ECU Library web site failed WCAG 2.0 Level A standard in the initial testing and re-testing. Many individual pages which failed initially passed the re-test. The smallest improvement was seen in suppliers’ web sites.

This paper could help libraries to improve web site accessibility, as it covers negotiating with suppliers to upgrade their web sites, plus upgrading editable webpages. It shows initial and re-test results, allowing libraries to compare their results to those of ECU. Legislation and guidelines state web sites should be accessible to all users and organisations providing non-accessible web sites risk being sued.

A web site not complying with WCAG version 2.0 would be very difficult for people with disabilities to access. Upgrading ECU Library ' s web site will provide all users with more equal access to the resources.

This study describes problems in upgrading academic library webpages and related supplier web sites and organisation web site to improve accessibility for people with disabilities.