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Following promising growth of the international medical tourism industry, competitions within the global market have escalated tremendously with increased involvement by numerous healthcare providers to acquire a share of its disposable income. The brand reputation would hereby play a determining role as a competitive strategy. Specifically, this paper aims to investigate the impact of social and marketing aspects on the brand image of medical tourism-based hospitals, alongside its relationship toward service quality. In turn, the influence of perceived service quality on satisfaction and the perceived value was examined, in view of further potential behavioral intention among medical tourists on healthcare providers in Malaysia.

The data were collected through a survey questionnaire among medical tourists, with 596 successful cases collected via 6 major private hospitals at 3 popular Malaysian medical tourism locations. Data analysis was then performed using both SPSS and Smart PLS software.

The findings from the present study acknowledged the importance of both social (e.g. social media and word-of-mouth communications) and marketing (e.g. hospital advertisement and price perception) aspects toward establishing brand image among medical tourism-based hospitals. Consequently, the brand image would influence perceived service quality among medical tourists; further entail positive impact on behavioral intention, with satisfaction and perceived value as mediators between both factors. Following PLS predict analysis confirming this model’s high predictive capability, it demonstrated close representation to actual medical tourism scenario in Malaysia.

This study is one of the very few studies that explored the minimally investigated territory on the consequential importance of hospital branding within the medical tourism industry; specifically through extending the literature on the influence of social and marketing efforts toward the formation of brand image.

This study highlights the instrumental role of the mission statement as a tool used by managers to shape value congruence to achieve enhanced employee performance levels.

A variance-based structural equation modelling was used to analyse the data obtained from a sample of 123 managers working in private organisations in Malaysia.

The management sensemaking approach is useful in mission statement research. Managers' involvement in clarifying the mission statement to various firm stakeholders, especially employees, is the strongest predictor of value congruency between employees and the firm, leading to improved levels of employee behavioural performance. Managers can influence value congruency through two processes: (1) guiding and shaping employees' values and (2) adapting the mission statement's contents.

Future studies can consider the impact of managerial role modelling on employees' value alignment with the firm in longitudinal studies. Other aspects of alignment offer further research opportunities, for example, HR policy alignment and alignment of marketing and operation strategies with the mission statement.

Managers should move beyond treating the mission statement as a management tool. Instead, it is a firm philosophy that reflects managers' words and deeds and exemplifies their philosophical ideals.

Despite three decades of research into the relationship between the mission statement and performance, the results have been mixed. Therefore, this study adopts a sensemaking approach to research the mission-performance relationship underpinned by the resource-based view (RBV) theory.

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.