Marketers desire to utilise electronic word of mouth (eWOM) marketing on social media sites. However, not all online content generated by marketers has the same effect on consumers; some of them are effective while others are not. This paper aims to examine different characteristics of marketer-generated content (MGC) that of which one lead users to eWOM. Twitter was chosen as one of the leading social media sites and a content analysis approach was employed to identify the common characteristics of retweeted and favourited tweets. 2,780 tweets from six companies (Booking, Hostelworld, Hotels, Lastminute, Laterooms and Priceline) operating in the tourism sector are analysed. Results indicate that the posts which contain pictures, hyperlinks, product or service information, direct answers to customers and brand centrality are more likely to be retweeted and favourited by users. The findings present the main eWOM drivers for MGC in social media.Keywords: electronic word of mouth; eWOM; social media; content analysis; marketer-generated content; MGC; Twitter; characteristics of tweets.Reference to this paper should be made as follows: Alboqami, H., Al-Karaghouli, W., Baeshen, Y., Erkan, I., Evans, C. and Ghoneim, A. (2015) 'Electronic word of mouth in social media: the common characteristics of retweeted and favourited marketer-generated content posted on Twitter ', Int. J. Internet Marketing and Advertising, Vol. 9, No. 4, Biographical notes: Hassan Alboqami is a PhD student in the Business School at Brunel University in London since 2013. He obtains his Master degree at Hertfordshire University in the UK 2011. In his PhD, the research interests are electronic word of mouth (eWOM), social media and customer relationship management. Chris Evans is a Senior Lecturer in the Brunel Business School at Brunel University. His research interests include interactivity, Web 2.0 and social media, multimedia learning technology, and the adoption of innovative learning technologies. He is chair of the annual eLearning 2.0 international conference on social media for learning. Electronic word of mouth in social mediaAhmad Ghoneim is a Lecturer of eBusiness and Information Systems at Brunel Business School. He is a member of the (ISEing) group -a research centre of excellence that supports a number of (EPSRC) funded networks and projects. Ahmad is the Programme Chair for the annual EMCIS conference and is on the editorial board of the TGPPP journal. He also co-edited special issues for IJCEC and EJIS journals.All authors contributed equally and have been listed alphabetically.

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Considerable resources were invested by many businesses in developing business analytics capabilities to enhance their performance. Previous research revealed that business analytics capabilities can influence business performance in various methods. Our study seeks to examine the influence of business analytics capabilities on innovation performance through market agility. We also explore these relationships under different turbulent environment. Data were collected from 427 managers in the food industry in Saudi Arabia. Structural equation modelling was used to analyze the collected data. The findings indicated that business analytics capabilities have direct and indirect influence on innovation performance. Market agility partially mediates the link between business analytics capabilities and innovation performance. This relationship is stronger in high turbulent environment. Our study provides meaningful theoretical contributions to business analytics and market agility literature and practical implications for managers in the food sector.

Previous studies paid more attention to factors affecting consumers intentions and behaviors to adopt IT in the retail industry; however, little attention has been paid to factors affecting consumer intentions to adopt chatbots in the retails industry. This study utilizes technology acceptance models to explore these factors. Quantitative approach method using online survey was adopted to collect data from consumers in Saudi Arabia retail industry. We collected data from 903 consumers and analyzed it using structural equation modeling technique. The findings indicated that perceived intelligence, perceived ease of use, and perceived usefulness have a significant positive influence on consumers intentions to adopt chatbots. It also indicated that technological anxiety has a negative influence on intentions. Our study indicated that anthropomorphism plays a moderating role on these relationships. Our study offers meaningful implications for retailers and marketer to develop their marketing plan and strategy.

The main aim of this study is to develop a model that links guests' characteristics, hotel characteristics, website infrastructure, interactions, perceived website trust, and the guest intentions to book hotels online. The present study adopted a positivist research philosophy with a quantitative method to assess the suggested model and the model was tested using structural equation modelling (SEM). The results show that perceived ease of use, service quality and reputation are the most influential determinants of perceived website trust for Egyptian consumers. While at the same time, perceived usefulness, service quality, and satisfaction are the most influential determinants of perceived website trust for the UK consumers. Furthermore, the findings of group comparison analysis assert that the strength of perceived usefulness of the UK customers is significantly stronger than that of Egyptian customers. Moreover, perceived website trust has a stronger influence on guests' intention to book hotel online for the UK sample than for the Egyptian sample.