Artificial Intelligence tools and processes have hugely impacted the ecommerce industry and the satisfaction of online customers. With technology largely pervading all facets of our lives, people want meaningful experiences. Artificial intelligence has the ability to deliver positive experiences for customers that helps build brand trust and customer satisfaction. Whether you are using your smartphone, laptop or voice assistants such as Alexa or Siri, service on the internet is gaining new ground. This paper does a literature review of the various technological advances that optimize the customer experience to evoke e-satisfaction, i.e. satisfaction while shopping online. E-satisfaction as a construct will be reviewed and its impact on customer purchase intention. This review will provide businesses and other researchers a frame of reference to conduct empirical studies in the area of AI and technology enabled retail.

Purpose -The purpose of this paper is to investigate the perceptions of employees of luxury chain hotels situated in Delhi and NCR, India in relation to corporate social responsibility (CSR) practices, their impact on corporate performance and their potential in the context of the Skill India initiative.Design/methodology/approach -The study draws on a literature review and questionnaire-based research.Findings -It was observed that CSR practices lead to higher employee motivation and job retention and that this has a positive impact on corporate performance. Hotel employees (supervisor and managers) perceive skilling uneducated people as a positive CSR initiative.Research limitations/implications -The study sought the opinions of hotel managerial-and supervisory-level employees. The findings would have been more representative if the study had included employees from all organizational levels.Originality/value -This paper sheds light on the benefits of adopting CSR practices as a long-term policy.

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The purpose of the paper is to study the corporate social responsibility (CSR) practices of luxury chain hotels situated in Delhi, National Capital Region (NCR), India. This research involves the primary and secondary data. Primary data were collected through a self-designed questionnaire filled up by employees working with selected hotels which consist of five national and five international hotels situated in India. Secondary data were collected through papers published in various journals. Data collected was analyzed and interpreted by using IBM SPSS 20.0. Interpretation of the data were based on the perception of employees working in the respective hotels. The paper identifies different latent factors through exploratory factor analysis (EFA) which categorizes CSR into four segments named as social activities, environmental activities, economic activities and philanthropic activities. We also applied confirmatory factor analysis to assess convergent and discriminant validity.

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