Search results

Despite the growth of the online overseas purchasing industry, there is a lack of studies addressing these companies' communication strategies. Thus, this study aims to examine the impact of customer experiences with communication via overseas purchasing websites.

Using data from overseas purchase customers in the United States, this study examines communication as either firm or customer generated and assesses their effects on brand-related outcomes.

The results show that both firm- and customer-generated communication influence brand awareness, perceived quality, and loyalty. Also, the impact of brand awareness on perceived quality is supported. Differences in the relationship between communication and behavior across demographic characteristics (i.e. gender, age, income) are identified, and the impact of firm-generated content on customers is found to be greater than that of customer-generated communication.

Given the limitations of quantitative surveys to examine overseas retailing practices, the results of this study provide a starting point for future researchers to conduct more qualitative studies with customers from various cultures.

Due to the importance of communication marketing in the retail setting, this study provides useful guidelines for online retail services to enhance customers' interaction and empowerment.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Through marketing – both firm and customer-generated – and opening communication between the brand and consumers, customers will feel far more confident in purchasing online.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to extend the understanding about the augmented destination marketing process that has resulted from the introduction of electronic marketing methods. It attempts to identify the factors that contribute to the process of destination marketing by introducing an integrated marketing model. This study aims to expand the domain of knowledge about the tourist buying behavior by putting forward a framework to manage the destination marketing process for Cyprus.

The research design adopted for this study is an exploratory one, deploying the open‐ended approach of grounded theory. A number of expert interviews are performed with senior marketing executives at the Cyprus Tourism Organization (CTO), while an extensive study of the existing procedures that are being followed in carrying out the CTO's marketing department's functions facilitated further information analysis. The actual users' expectations are derived from a web‐user behavior analysis, reflecting upon relevant marketing theories and information systems approaches.

The paper provides insights into the augmented process of destination marketing planning and suggests specific ways through which National Tourism Organizations can manage it efficiently. The contribution of this study towards building on the body of knowledge is significant as the process of destination marketing planning is characterized by complexity due to the diverse interests of the stakeholders involved.

This paper successfully introduces the concept of integrated marketing as the sole enabler for the CTO to maximize the effectiveness of its marketing efforts worldwide.

Research on the role of affective forecasting in hotel service experiences is in its infancy, and several crucial questions remain unanswered. This study aims to posit that affective forecasting is a significant antecedent of customers’ affective reactions during a hotel stay. The authors investigate how customers’ service quality expectations influence their affective forecasting and how customers’ affective forecasting before an upcoming hotel service experience influences their affective reactions during the hotel service experience.

The authors collected data through online questionnaires distributed among 634 US adults who had stayed at a hotel within the past month.

The results show that: service quality expectations influence affective forecasting; affective forecasting influences affective reactions; service quality expectations influence perceived service quality, thereby influencing affective reactions and affective reactions and service quality perception influence electronic Word-Of-Mouth intentions.

The study suggests that hotel managers should identify what hotel performance attributes customers value most and depict how these attributes elicit positive affective reactions in advertising to influence customers’ purchase decisions.

This is one of the few studies to investigate the antecedents and consequences of affective forecasting in hotel service experiences.

The moderating role of situational context in the effects of electronic word-of-mouth (eWOM) on online purchase intention through brand image has found sparse empirical support. This study thus aims to examine whether situational context affects the direction and strength of the relationships between aspects of eWOM and brand image that lead to online purchase intention.

To extend the existing research, the authors tested the model using a sample of 546 online shoppers during the fourth wave of COVID-19 in Ho Chi Minh City. Specifically, the testing of the direct relationships and the mediating role of brand image occurred using measurement and structural models. The authors then created a moderated mediation model to examine the moderating role of situational context. Furthermore, the authors probed the interactions by identifying changes in the relationships from eWOM to online purchase intention through a brand image at different levels of situational context.

Without situational context’s moderating effect, brand image positively partially mediated the influence of either eWOM credibility or quantity on intention. Situational context’s moderating effect then explains why high- versus low-level disease-avoidance customers seek less eWOM credibility and more eWOM quantity to develop brand images and shape their intentions.

The findings have theoretical implications for understanding the pressure of disease avoidance on customers’ online purchase intentions. Among the practical implications of the research are tactics for profit and non-profit purposes.

With the fierce competition in the cold chain logistics market, achieving and maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out. This research aims to determine the factors that affect customer satisfaction in cold chain logistics, which helps cold chain logistics enterprises identify the main aspects of the problem. Further, the suggestions are provided for cold chain logistics enterprises to improve customer satisfaction.

This research uses the text mining approach, including topic modeling and sentiment analysis, to analyze the information implicit in customer-generated reviews. First, latent Dirichlet allocation (LDA) model is used to identify the topics that customers focus on. Furthermore, to explore the sentiment polarity of different topics, bi-directional long short-term memory (Bi-LSTM), a type of deep learning model, is adopted to quantify the sentiment score. Last, regression analysis is performed to identify the significant factors that affect positive, neutral and negative sentiment.

The results show that eight topics that customer focus are determined, namely, speed, price, cold chain transportation, package, quality, error handling, service staff and logistics information. Among them, speed, price, transportation and product quality significantly affect customer positive sentiment, and error handling and service staff are significant factors affecting customer neutral and negative sentiment, respectively.

The data of the customer-generated reviews in this research are in Chinese. In the future, multi-lingual research can be conducted to obtain more comprehensive insights.

Prior studies on customer satisfaction in cold chain logistics predominantly used questionnaire method, and the disadvantage of which is that interviewees may fill out the questionnaire arbitrarily, which leads to inaccurate data. For this reason, it is more scientific to discover customer satisfaction from real behavioral data. In response, customer-generated reviews that reflect true emotions are used as the data source for this research.

This paper aims to first examine tourists’ perceptions of the source credibility and information quality of social media content to see whether they would have an impact on their perceptions of the importance of shared content on social media. The moderating role of gender in this relationship was then examined.

The research sample was composed of domestic and foreign tourists in Alanya, an important tourist destination in Turkey. The data in the current study were collected by the questionnaire method. The structural relationships in the research were examined using the partial least squares structural equation modeling, and the moderating effect of gender was examined via the partial least squares multiple group analysis.

According to the research findings, tourists’ perceptions of source credibility regarding social media content had a positive impact on the importance attached to non-participant shared content, whereas their perceptions of information quality had a positive impact on the importance attached to participant shared content. Furthermore, it was also observed that gender had a moderating effect on the relationship between information quality and source credibility perceptions and the importance of shared content on social media.

Two important predictive variables have been examined in the current research in term of customer-generated contents. It has been demonstrated that the effects of these predictive variables on different customer-generated types could be different. Furthermore, it has been determined that the effects of these influences differ according to the gender of the individuals following the content. Thus, the current study provides significant findings to understand the impacts of these variables on the basis of gender.

This study examines a cross section of the Spanish retailing branch on the adoption and use of Social Media tools, identifying users and nonusers and their impact on management experiences. The use of 2.0 technologies has also been analyzed based on company size.

An online survey among 90 Spanish retailers provides a number of interesting insights in the adoption rates, the facilitating and disruptive factors in the adoption process, the types of applications used by retailers, and their experiences from them. Prior to filling in the online questionnaires, the recipients were contacted by phone and were informed about the study. A Chi-square analysis has been carried out to contrast the suggested research questions.

Retailers using Social Media as part of their marketing strategy use most social applications for customer-related purposes and see clear benefits in improving customer relations, market communication, improving their after-sales services, and obtaining customer feedback and customer information. Although many differences do not exist between large, medium, and small companies, it is remarkable that large companies use social web tools as branding and small companies as customer service.

The main problem of this study has been the low recruitment of answers by retailers.

Customers are using such technologies in overwhelming numbers and a substantial part of the customer generated content in Social Media is about brands, businesses, and products. Having a good idea about the customer dialog online can provide businesses with very valuable information and help them understand market trends but also identify potential areas of danger and problems.

The adoption of Social Media tools is a topic much studied from demand perspective. Nevertheless, the application to business and, specifically, retailing sector is less analyzed. With this study we pretend to improve this research line from offer perspective.

This study aims to conceptualise and empirically examine how blog users engage with the sponsored posts on consumer-generated content, specifically blogs.

This paper empirically tested the proposed hypotheses using the structural equation modelling using a sample of 399 blog users.

The need for cognition, perceived interactivity and perceived credibility of blogs has been found to directly influence consumers’ attitude towards blogs. Innovativeness has been found to have a weak negative link with the attitude towards blogs. Blog users were more favourable towards the sponsored posts if the blogs were more interactive. Attitude towards blogs has been found to mediate the relationship between users’ perceived interactivity and their avoidance of the sponsored posts and also between perceived credibility and avoidance of the sponsored posts on blogs. The most significant finding of this study is that the positive attitude towards a blog results in a higher avoidance of the sponsored posts.

This study focuses on the sponsored posts on blogs. It does not look at other forms of advertising on blogs such as banner ads, or other forms of consumer-generated content.

Marketers and bloggers should carefully consider the suitability of the sponsored posts on blogs as they risk alienating the regular users of the blogs. Sponsored posts which are perceived as honest reviews (as opposed to paid advertorials) might be more acceptable to blog users.

This study highlights the importance of credibility of bloggers to blog users. There are some serious ethical issues related to the sponsored posts which have not been discussed here but need to be examined further.

This study represents one of the first attempts to conceptualise and empirically examine how blog users engage with customer-generated advertising – sponsored posts. It contributes to marketing literature by enhancing the understanding of how consumers perceive consumer-generated content and more specifically, with regard to consumer attitudes towards online consumer-generated advertising. This study enhances the theoretical and empirical knowledge on how consumers react to advertisements on social media, with important suggestions for future research and implications for practitioners.

The research purpose is to conceptualize competitive productivity (CP) in the peer-to-peer (P2P) accommodation businesses. This study aims to conceptualize the four driving forces of P2P hosts’ CP and to empirically capture guest-based equity that supports such conceptual hosts’ CP model.

The goal of this paper is to apply Bauman’s Firm competitive productivity (FCP) model to the P2P accommodation business to conceptualize the CP of micro-entrepreneurial hosts. Four areas of the FCP model were reviewed to find how each of them contributes to the P2P hosts’ CP maximization.

Host talent, host resource management, value and host branding were conceptualized as key drivers of P2P hosts’ CP. The study also filled a gap in current literature by empirically analyzing online reviews to successfully capture key guest-based equity as satisfiers contributing to host talent, resource and branding.

Based on the hosts’ CP model, customer-generated resources play a significant role in the managerial implications, so that guest reviews with needs and wants and ratings can be empirically used to strengthen hosts’ CP under specific market circumstances.

This study is the first attempt to conceptualize a P2P host as a micro-entrepreneurial firm in the sharing economy platform for CP. This study looked at how the unique characteristics of the P2P accommodation industry and guest-based equity affect the P2P hosts’ CP.