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The purpose of this paper is to determine the safety of substituting the first day post-operative review after routine cataract surgery (phacoemulsification) with a telephone survey.

Prospective non-randomised cohort study. A standardised questionnaire of five common ocular symptoms (general condition, vision, eye pain, headache, nausea or vomiting) was administered by a trained nurse on the first post-operative day. The patients were reviewed in clinic two to 14 days later. Patient charts were retrospectively reviewed for complications (endophthalmitis, raised intra-ocular pressure, wound leaks and uveitis) requiring deviation from standard treatment.

Over 13 months, 256 eyes of 238 patients underwent uncomplicated phacoemulsification by four consultant surgeons. Only one patient reported poor general condition, blurred vision and eye pain. She was subsequently found to have corneal oedema and raised intra-ocular pressure when recalled for an earlier review. Best corrected visual acuity better than 20/40 was achieved in 80.5 per cent of patients. There were no other post-operative complications noted from medical records review.

Non-randomised nature, skewed surgical expertise, lack of a control group and patient experience data. In all, 22 patients (9.2 per cent) were also uncontactable for the telephone interview.

A nurse-administered telephone survey seemed to be a safe and effective alternative to first day post-operative review after routine phacoemulsification. The survey also enabled the detection of serious post-operative complications. The first day post-operative hospital visit may be safely substituted in a selected patient population with greater patient convenience achieved and liberation of clinic resources.

This is the first study which utilises a standardised questionnaire as a form of post-operative review in an Asian population.

Existing reviews of research on voluntary childlessness generally take the form of narrative summaries, focusing on main topics investigated over time. In this chapter, the authors extend previous literature reviews to conduct a systematic review and content analysis of socio-historical and geopolitical aspects of knowledge production about voluntary childlessness. The dataset comprised 195 peer-reviewed articles that were coded and analysed to explore, inter alia: the main topic under investigation; country location of authors; sample characteristics; theoretical framework and methodology. The findings are discussed in relation to the socio-historical contexts of knowledge production, drawing on theoretical insights concerned with the politics of location, representation and research practice. The shifts in the topics of research from the 1970s, when substantial research first emerged, uphold the view of voluntary childlessness as non-normative. With some regional variation, knowledge is dominated by quantitative, hard science methodologies and mostly generated about privileged, married women living in the global North. The implications of this for future research concerned with reproductive freedom are outlined.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

This study aims to determine whether or not fashion retail brands can maintain their essence by providing personalized care through conventional face-to-face interactions or the use of e-services.

An exploratory investigation is being conducted to attain this goal. According to the findings of this research, Chatbots have an impact on consumer loyalty. The quality of a Chatbot’s system, service and information are all critical to providing a positive consumer experience.

The study concluded that Chatbot e-services might potentially enable dynamic and fascinating interactions between firms and their consumers. To personalize a Chatbot, firms might change the tone of the language used. Customers are more likely to use a Chatbot if it resembles a real person, which increases their pleasure and confidence in the product.

More precisely, the emphasis of the inquiry was on Chatbot, a relatively new digital tool that offers user-friendly, personalized and one-of-a-kind support to customers. Using information supplied by consumers, the authors examine a five-dimensional model that gauges how customers feel about Chatbots in terms of their ability to communicate with users, offer amusement, be trendy, personalize interactions and solve problems.

The purpose of this study is to identify the knowledge gap and future opportunities for developing mobile recommender system in tourism sector that lead to comfortable, targeted and attractive tourism. A recommender system improves the traditional classification algorithms and has incorporated many advanced machine learning algorithms.

Design of this application followed a smart, hybrid and context-aware recommender system, which includes various recommender systems. With the recommender system's help, useful management for time and budget is obtained for tourists, since they usually have financial and time constraints for selecting the point of interests (POIs) and so more purposeful trip planned with decreased traffic and air pollution.

The finding of this research showed that the inclusion of additional information about the item, user, circumstances, objects or conditions and the environment could significantly impact recommendation quality and information and communications technology has become one part of the tourism value chain.

The application consists of (1) registration: with/without social media accounts, (2) user information: country, gender, age and his/her specific interests, (3) context data: available time, alert, price, spend time, weather, location, transportation.

The study’s social implications include connecting the app and registration through social media to a more social relationship, with its textual reviews, or user review as user-generated content for increasing accuracy.

The originality of this research work lies on introducing a new content- and knowledge-based algorithm for POI recommendations. An “Alert” context emphasizing on safety, supplies and essential infrastructure is considered as a novel context for this application.