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Measuring the similarity between two resources is considered difficult due to a lack of reliable information and a wide variety of available information regarding the resources. Many approaches have been devised to tackle such difficulty. Although content-based approaches, which adopted resource-related data in comparing resources, played a major role in similarity measurement methodology, the lack of semantic insight on the data may leave these approaches imperfect. The purpose of this paper is to incorporate data semantics into the measuring process.

The emerged linked open data (LOD) provide a practical solution to tackle such difficulty. Common methodologies consuming LOD mainly focused on using link attributes that provide some sort of semantic relations between data. In this work, methods for measuring semantic distances between resources using information gathered from LOD were proposed. Such distances were then applied to music recommendation, focusing on the effect of various weight and level settings.

This work conducted experiments using the MusicBrainz dataset and evaluated the proposed schemes for the plausibility of LOD on music recommendation. The experimental result shows that the proposed methods electively improved classic approaches for both linked data semantic distance (LDSD) and PathSim methods by 47 and 9.7%, respectively.

The main contribution of this work is to develop novel schemes for incorporating knowledge from LOD. Two types of knowledge, namely attribute and path, were derived and incorporated into similarity measurements. Such knowledge may reflect the relationships between resources in a semantic manner since the links in LOD carry much semantic information regarding connecting resources.

The purpose of this paper is to develop a conceptual model for smartphone brand switching behavior, based on the consumption value theory (functional value, emotional value, social value and epistemic value) and the cognition affect behavior (CAB) model. Two paths – product consumption values and retail service relational benefits – were considered as the cognitive elements to predict brand commitment (affect) and smartphone brand switching behavior. In addition, switching cost was used to measure the moderating effect on the relationship between brand commitment and smartphone brand switching behavior.

This research examined whether product consumption value and cognitive benefits related to retail services will enhance brand commitment and then further decrease smartphone brand switching behavior. Switching cost was predicted as a moderator in the model. An investigation of consumers who own a particular brand of smartphone (e.g. the top five smartphone brands: Samsung, Apple, HTC, Sony and Asus) was conducted, and 565 valid responses were collected for the structural equation modeling analysis.

The results demonstrated that emotional value, social value, epistemic value and confidence benefits increased consumer brand commitment and predicted less smartphone brand switching behavior. In addition, switching cost played a significant moderator role in the relationship between brand commitment and brand switching behavior.

A multiple cognitive paths design, with a consumption values aspect and a relational benefits aspect, can elaborate consumer perceptions of product values and service benefits simultaneously, which can lead to a better understanding of the whole picture of the brand services and the key reasons why consumers commit to a brand. Administrators of brand vendors are suggested to improve product innovation and the professionalism of sales services in order to facilitate consumer consumption values, increase their degree of confidence in members of sales staff and, in the meantime, help these administrators gain an understanding of the real reasons for brand switching so as to provide solutions leading to the maintenance of consumer brand commitment through products or services. This is, in turn, likely to increase continued usage intention and reduce the possibility of brand switching.

This study extended the consumption value theory and the CAB model to show that product consumption value and cognitive benefits related to retail services can enhance brand commitment and further decrease smartphone brand switching behavior. The results indicated that brand retailer managers should regularly conduct activities to connect with their customers to induce consumption values and relational benefits and, consequently, increase brand commitment and prevent customer switching behavior.

The purpose of this paper is to provide a comprehensive model to illustrate the mediating role of sense of virtual community (SOVC) in virtual communities of practices (VCoPs). The interrelations between social capital and collective action in terms of knowledge contribution in the VCoP context are also examined.

A total of 253 members from the Zclub and Jorsindo, responded to the survey. PLS-SEM path modeling was used to analyze survey data.

Members’ structural capital and cognitive capital both positively and significantly influence members’ SOVC, and, in turn, their SOVC influences relational capital.

The study linked two theories, namely, social capital and theory of collective action, to discuss knowledge contribution in VCoPs. Social capital and SOVC have significant and positive effects on knowledge contribution in VCoPs.

Knowledge contributions in VCoPs are created through interactions among members, as well as the facilitation resulting from shared visions. Administrators can promote the formation of social-interaction ties in VCoPs to reinforce the formation of social capital and a SOVC.

Administrators of knowledge-oriented groups must strive to sustain proper levels of SOVC among members to ensure their continued participation in VCoPs.

The main objectives of this study were to examine the effects of social capital (structural, cognitive, and relational capitals) on the quality and quantity of knowledge contribution. SOVC was proposed as a mediator in the relationship between structural and/or cognitive capital toward relational capital.

This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development to help companies improve their decision-making quality for technology planning and enhance their research and development (R&D) portfolio efficiency.

The primary focus of this study is thin-film solar technology and patent data is retrieved from the United States Patent and Trademark Office (USPTO) database. This study presents a methodology based on the proposed integrated analysis method, constructed with patent indicators, centrality analysis of social networks and main path analysis.

The results of this study can be itemized as – the core technological competency: companies involved in two specific technology fields have lower strength in R&D portfolio than leading companies with single-core technology. Knowledge flow: most companies in a network are knowledge producers/absorbers and technological development: diverse source and sink nodes were identified in the global main path during 1997-2003, 2004-2010 and 2011-2017.

Latecomer companies can emulate leaders’ innovation and enhance their technological competence to seek niche technology. Using the global main path, companies monitor outdated technologies that can be replaced by new technologies and aid to plan R&D strategy and implement appropriate strategic decisions avoiding path dependency.

The knowledge accumulation process helps in identifying the change of position and the role of companies; understanding the trend of industrial technology knowledge helps companies to develop new technology and direct strategic decisions. The novelty of this research lies in the integrated approach of three methods aiding industries to find their internal core technical competencies and identify the external position in the competitive market.

Based on the Mehrabian–Russell theory, the purpose of this paper is to view the attributes of advertorial information as a stimulus in an online environment to examine the emotional states of consumers and their sequential behavioral responses. Moreover, materialism is proposed as a moderator in the relationship between advertorial attributions and emotion.

By adopting a quantitative approach, 421 consumers with browsing forums or blog experience participated in the study. SEM techniques were adopted for the formal data analysis.

There was a causation found among control, arousal and pleasure. Advertorial attributes influenced the consumers’ emotional states via control, and emotional states directly affected the information acceptance and purchase intention. Materialism partially moderated the relationship between the advertorial information attributions and emotional states.

Advertorial editors should provide detailed product information with credible sources in a positive manner and should attach videos or interesting pictures to avoid boredom and attract reader attention, especially in the case of materialists. In addition, editors should also provide some related hyperlinks for consumers to stimulate their further reading and then should observe the number of clicks and shares to estimate the popularity of the advertorial, so adjustments can be made if necessary.

This paper confirmed the causation of pleasure, arousal and the validity of the dominance (PAD) emotional model and found a partially moderating effect of materialism on the relationship between the attributes of advertorials and the emotional states of consumers.

The purpose of this research is to examine the impact of e‐service quality, customer perceived value, and customer satisfaction on customer loyalty in an online shopping environment.

There were two studies performed in this research. Study 1 validated the self‐regulating processes; Study 2 tested the moderating effects of customer perceived value between satisfaction and loyalty. Structural equation modelling techniques and linear hierarchical regression models were used to test the causal model.

The study demonstrated that e‐service quality and customer perceived value influence customer satisfaction, and then influence customer loyalty. In addition this study found that customers with a high perceived value have a stronger relationship between satisfaction and customer loyalty than customers with a low perceived value.

We found that there are emotional and rational routes influencing customer loyalty in the online shopping process. This will contribute to other research that clarifies the influencing process of online shoppers' motivation and behaviour.

In the pre‐purchase stage, online retailers should focus on attracting consumers by the quality of e‐service. In the purchase stage, online retailers should address the emotional factors, such as customer satisfaction. In the post‐purchase stage, rational factors – such as customer perceived value – play important roles because they can strengthen the relationship between satisfaction and loyalty.

This study viewed the purchase process as a different stage as consumers may make a choice at each of the purchase stages. Moreover this study found a way to examine the relationship between customer satisfaction and loyalty by exploring the moderating effects of customer perceived value.

The popularity of online shopping has grown in the recent years, enhancing the interest in identifying the factors that influence shoppers’ loyalty. The purpose of this paper is to investigate, through aesthetic appeal, layout and functionality, and financial security, the impact of customers’ perceptions of the e-servicescape in online shopping on perceived e-shopping value and customer loyalty defined as a two-component construct (attitudinal loyalty and behavioural loyalty), following the sequence of the S–O–R framework.

Data were gathered using an Internet survey in which 221 active online shoppers participated who had at least one online purchase in the past six months. The research model was analysed using the partial least squares approach to analyse structural equations (SEM).

Based upon empirical evidence of a web-based survey of online shoppers, this study shows that consumers’ interpretation of e-servicescape exerts a positive influence over perceived e-shopping value and loyalty. Specifically, the study finds that layout and functionality and financial security, as the salient attributes of the e-servicescape dimension, set the point of perceived e-shopping value which affects attitudinal loyalty.

The authors expose several practical implications how marketing management could use the dimensions of e-servicescape perceived e-shopping value. Managers are advised to incorporate the dimensions of the e-servicescape to build perceived e-shopping value and loyalty. Online shops need to invest in particular in layout and functionality and financial security, dimensions that had a stronger effect on perceived e-shopping value in order to achieve costumers’ loyalty in a fashion product context.

The transition from physical service locations to virtual service processes has increased the research interest of e-servicescape. This study analyses it through its aesthetic appeal, layout and functionality, and financial security connecting them with the constructs of perceived e-shopping value and customer loyalty in the application for fashion products. This work emphasises the connection between servicescape attributes in creating perceived value which affects attitudinal and behavioural loyalty. In this way, the e-servicescape is seen as stimuli, the perceived e-shopping value represents the organism and the loyalty the response of the sequence of the S–O–R framework. This research provides insight into the new effects of each dimension of e-servicescape on perceived e-shopping value and the two dimensions of loyalty, thus improving the existing knowledge in the field of servicescape and online shopping customer behaviour.

In this paper, Yale model was adopted to understand how the characteristics of a green message (goal framing, argument volume and argument consistency), its source (source credibility) and its receivers (environmental consciousness) influence the communication process regarding the receivers' perceptions and attitudes (information value, persuasiveness and communication effectiveness) and their intention to spread the green message.

Eight scenarios of factorial design were developed to test the effects of a message on receivers' perceptions and attitudes. 1,157 valid questionnaires were used to conduct AMOS-SEM and ANOVA analyses.

The analytical results showed significant differences between the persuasive effects of Scenarios 1 and 8. A high level of environmental consciousness significantly affected the relationships between the message characteristics, source credibility and information value, leading to a higher intention to share the green messages.

The Yale model was applied to online persuasion to examine the receivers' perceptions of and attitudes toward a green message and their intention to share it on social networking sites (SNSs). Being environmentally conscious can strengthen the perception that the receivers of an online green message have of the source credibility and information value. The Yale model proved to represent the online green message-sharing context and explain how to persuade online users more effectively.

This study suggests that green message providers should present content emphasizing the losses associated with inaction, thus increasing the receivers' acceptance of the message's persuasiveness. Additionally, with the assistance of supportive measures, such as national education programs, government policies and actions showing corporate social responsibility, the environmental awareness of individuals can encourage them to share green message posts on SNSs and engage in green practices.

A significant effect of the message characteristics (goal framing × argument volume × argument consistency) was observed on SNS users' perceived source credibility and information value. Therefore, key opinion leaders, governments, and organizations who want to promote green ideas and attract public attention are encouraged to provide messages emphasizing the costs of inaction and contain arguments with a sufficient number of responses strongly supporting the original message. This could arouse the concern for green issues among online communities.

A Yale model research framework was developed to investigate the effect of message characteristics on the intention to share green messages online. Receivers' environmental consciousness played a vital role in this message-sharing process.

By integrating the diffusion of innovation (DOI) theory, technology acceptance model (TAM), and social capital theory, the purpose of this paper is to: develop a model of consumer behavior and trial willingness toward nano-foods from product, consumer, and social perspectives; examine the effects of innovative features, consumer characteristics, and trust in authority on subjective perceptions (perceived trustworthiness and perceived benefit) as well as the social influence on attitudes toward nano-foods and trial willingness; examine the moderating role of product uncertainty on the relationship between these characteristics and subjective perceptions; and examine the effect of perceived benefit on perceived trustworthiness.

The results of the structural equation model (SEM), with nano-food knowledge data collected from 431 respondents, supported the research model and revealed the main effects hypothesized in this study and the moderating effect of product uncertainty. Simple slope analysis was further adopted to test the significant moderating effects.

The SEM results indicated that innovative characteristics (relative advantage, lack of observability, and novelty), consumer characteristics (perceived technology application), and social characteristics (trust in authority) affect perceived trustworthiness or perceived benefit. Social influence also has a direct effect on attitude toward nano-foods and trial willingness. Product uncertainty significantly moderates the relationship between characteristics (relative advantage and perceived technology application) and subjective perceptions (perceived trustworthiness and perceived benefit).

With increasing numbers and kinds of nanotechnology products now being developed and sold, it is important to go further to determine consumer perceptions and attitudes toward these. This study, thus, applied the DOI, TAM, and social capital theory to examine this issue. However, other theories might also be used to carry out research from other perspectives. This study should, thus, be seen as preliminary, and it is hoped that more works will discuss consumer attitudes toward nanotechnology products in the future.

When a new nano-food is introduced, the current study suggests that food manufacturers use the description on the package as a communicative tool. Detailing the advantages of nano-foods on food packages might be a useful way to enhance trial willingness and to reduce the fears and insecurities related to the use of nano-related products. In addition, if food manufacturers could cooperate with organizations or individuals seen as having some authority in this area (e.g. nanotechnology researchers) in order to disseminate accurate information about nanotechnology and related food products, this might be an effective way to increase sales and profits.

This is the first paper integrating the DOI, the social capital theory and the TAM to empirically investigate consumer willingness to try nano-food products.

The purpose of this paper is to examine (a)symmetric features of task-technology-performance characteristics that are most relevant to fit, satisfaction and continuance intention of using apps in mobile banking transactions.

Exploratory factor analysis was used with maximum likelihood extraction and Varimax rotation on a separate sample of 183 mobile banking apps users prior to the main data collection. The theoretical model was tested applying a factor-based structural equation modelling approach to a sample of 250 experienced mobile banking apps users.

The study unveiled that the task and performance characteristics are more relevant compared to technology characteristics when doing transactions via apps. In addition, the findings uncovered that user satisfaction and continuous intention to use apps stem from the degree of fit in online transactions. The findings of moderation analysis highlighted that users in the lower income group are more concerned about the performance characteristics of banking apps, and there are no differences across age and gender groups. Surprisingly, technology characteristic has a nonlinear nature and this study shows potential boundary conditions of technology characteristics in degree of fit, user satisfaction and continuance intention to use apps.

Findings from the conditional probabilistic queries reveal that with 83.3 per cent of probability, user satisfaction is high when using apps for banking transactions, if the levels of fit, task, performance and technology characteristics are high. Furthermore, with 72 per cent of probability, continuance intention to use apps is high, if the levels of performance and task characteristics are high.

Contributing to task-technology fit theory, this study shows that performance characteristics need to be aligned with task and technology characteristics in order to have better fit when using apps for online banking transactions.