The study aims at investigating the role of digital marketing strategies in enhancing international patients' satisfaction in Jordanian healthcare industry. Specifically, the effect of search engine optimization, social media networks, and e-mail marketing as digital marketing strategies on international patients' satisfaction. The quantitative approach is adopted and 400 questionnaires are distributed using convenient sample to international patients in different health service organizations (HSO). Only 310 questionnaires were collected with response rate 78%. The study concluded that there is a significant effect of digital marketing strategies on international patients' satisfaction in Jordanian health service industry. Moreover, each digital marketing strategies (search engine optimization, social media networks, and e-mail marketing) have a significant effect on international patients' satisfaction in Jordanian health service industry. Moreover, social media networks are the most important strategy which are employed to enhance patients' satisfaction in HSOs. The study recommends that HSOs have to take the advantages of digital marketing strategies in order to enhance patients' satisfaction. Practical implications and directions for future research are proposed.

The current study aims at providing understanding and practical insights of how to maintain customer loyalty using E-CRM from perspectives of small food businesses in Jordan. The qualitative design of research is adopted. Semi-structured and face-to-face interviews have been conducted with eight executives to generate data from target interviewees in different Jordanian food companies. Using thematic analysis for interviews and based on executives perspectives, this study provides customer loyalty concepts, benefits, tools, and measurements. Moreover, this study also investigates the benefits of E- CRM, E-CRM tools, and how customer loyalty could be enhanced by E-CRM. The results of the thematic analysis found that social media and telemarketing are the most common tools of E-CRM that are adopted by food companies. Sales frequency and sales records are the most common criteria for customer loyalty measurement. Furthermore, complaints handling, post sales services, customer following up, and maintaining customer relationship are the most critical tactics of E-CRM that are adopted by food companies to enhance customer loyalty. The study recommends that customer loyalty practices are not well established by food companies; however, adopting E-CRM practices are critical issues for maintaining customer loyalty.

This chapter aims to provide a theoretical foundation that integrates electronic customer relationship management (e-CRM) and artificial intelligence (AI) in marketing, specifically, marketing intelligence (MI) concepts, values, tools, and practices in the service industry. This chapter employs a critical review of relevant literature on e-CRM and marketing intelligence. Based on the reviewed sources, AI is transforming CRM systems, as evidenced by the latest software. Traditionally, these systems required significant human involvement. However, with the integration of AI, CRM systems are becoming self-updating and auto-correcting, ensuring that relationship management is effectively managed with minimal manual intervention. The outcomes of the chapter are to develop a better understanding that bridges the gap in integrating e-CRM and MI. Additionally, this chapter provides knowledge-based evidence to empower an integrated approach of e-CRM and MI practices in the service industry. It reveals best practices for executives, marketers, and policymakers e-CRM and MI integration

Using the stimulus-organism-response (S-O-R) framework, this study aims to investigate the impact of atmospherics and online flow cues of Jordan virtual tourist centre on visitors' affective and cognitive states, which are assumed to affect their visiting intentions. This is based on the fact that more tourists are getting information directly via the internet to direct their choices of tourism destinations. In order to test our proposed model, an online survey was launched via different social networking means directed towards a convenience sample of non-Jordanians using a snowball technique. Non- Jordanians respondents who agreed to participate in the survey were asked to browse Jordan virtual tourist centre and to live a virtual experience before answering related questions measuring targeted constructs. Analysis of the results supports the research model and shows that both atmospherics and online flow cues experienced by visitors, impact positively their affective and cognitive states, which in turn impact their visit intentions. Affective and cognitive states were impacted upon by atmospherics more than online flow; however, affective state tends to explain more variations in visiting intentions vis-à-vis virtual centres. Implications and recommendations are discussed to develop robust tourist centres capable of attracting tourists' visiting intentions.

Background The connection between psychiatry health, mental health, and lifestyle is under-studied in the Arab world. This study examined whether addictions to smartphones and fast food are associated with severe depressive symptoms in a cohort of Arab Jordanians. Method This research is cross-sectional. The Patient Health Questionnaire-9 was used to measure the severity of depression (PHQ-9), food addiction was assessed using the 9-item Modified Yale Food Addiction Scale (mYFAS), and smartphone addiction was assessed using the Arabic-validated Smartphone Addiction Scale. Using multivariable binary logistic regression, the relationship between food addiction, and depressive symptoms. Results: Data were analyzed from 426 participants, 264 participants (62.0%) reported being addicted to smartphones, and 156 (36.6%) reported severe depressive symptoms. The multivariable binary logistic regression revealed that severe depression was significantly associated with lower income (OR = 2.14, 95% Cl 1.34–3.41, P = 0.001), addiction to smartphones (OR = 2.15, 95% = 1.39–3.32, P = 0.001), and increased addiction to fast food (OR = 1.06, 95% = 1.04–1.08, P = < 0.001). Conclusion Addiction to smartphones, addiction to fast food, and low income were all associated with severe depression in Arab Jordanians, community awareness is highly required to adopt a healthy lifestyle.