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Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

We examine the incremental cross-sectional role of several common risk factors related to size, book-to-market, and momentum in size-and-momentum-sorted portfolios. Unlike the existing literature, which focuses on the conditional mean specification only, we evaluate the common risk factors’ incremental explanatory power in the cross-sectional characterization of both average return and conditional volatility. We also investigate the role of ex-ante market risk in the cross-section. The empirical results demonstrate that the size-and-momentum-based risk factors explain a significant portion of the cross-sectional average returns and cross-sectional conditional volatility of the benchmark equity portfolios. We find that the Fama–French (1993) factors and the ex-ante market risk are priced in the cross-sectional conditional volatility. We conclude that the size-and-momentum-based factors provide a source of risk that is independent of the Fama–French factors as well as ex-post and ex-ante market risk. Our results bolster the risk-based explanation of the size and momentum effects.

Universities are expected to operate with high efficiency, with ever-growing expectations from a rising number of stakeholders in society. From a theoretical perspective economic science does provide frameworks and methods in order to tackle this, with the cornerstone of defining efficiency as a simple relation of a quantity of inputs toward a quantity of outputs. For the practice of university management and policy this does not answer the crucial questions of which inputs and which outputs to measure, and how to ensure the quality aspect of such management approaches. Higher education research can contribute to answering these questions. This chapter outlines a sector-specific framework for efficiency analysis and management, including suggestions regarding how to implement efficiency-improving measures in university settings.

Purpose: The Internet provides patients easy access to scientific information originally, limited to medical professionals. However, this information may not be entirely relevant to the patient’s context. Therefore, doctor–patient conversations need to contextualize this information to the specific circumstances of the patient’s illness. A problem exists insofar as this conversation may not always meet the patient’s expectations. Interpersonal competence, an important aspect of emotional intelligence, is therefore critical for medical practice in the digital era. “Medicine” is viewed as a “masculine” profession requiring competence, while compassion as “feminine”. Gender stereotyped socialization prescribes gender - congruent emotional display norms for men and women thereby, influencing both gender behavior and emotions. Psychological androgyny is the coexistence of masculine and feminine behavior traits in the same individual irrespective of biological sex. This leads to responses, which are appropriate for situations irrespective of biological sex, rather than gender-stereotyped behaviour. In this study, I explored the role of gender personality and interpersonal competence in doctor–patient interaction.

Design/ methodology/approach: Sixty Indian doctors across different specializations completed the self-report format of emotional intelligence appraisal (Emotional Intelligence Appraisal-EIA) as measure of interpersonal competence and Bem’s Sex role Inventory (BSRI) as a measure of psychological androgyny.

Findings: Psychologically androgynous doctors scored significantly higher on interpersonal competence than non-androgynous doctors.

Practical implication: Since both male and female doctors undergo similar training, there is a need to explore in greater depth the nature of the relationship between androgynous gender behaviors in doctors and corresponding interpersonal competence correlates, to understand their impact on patient care and healthcare related outcomes for both patients and doctors. This is especially critical because, in addition to increasing incidents of violence against doctors in Internet-empowered world, previous research also points to varying patient outcomes and legal complications based on biological sex of doctors.

Small and medium enterprises (SMEs) are expected to be more creative and innovative to survive in the business competition and to make their businesses environmentally friendly, to develop global supply chain strategies, and to make innovations in products and business processes to become indispensable. This study discusses the effect of green supply chain integration (GSCI) and environmental uncertainty on performance through the moderation of green innovation. Structural equation modeling and maximum likelihood estimation were used to analyze a sample of 130 SMEs in East Java, Indonesia. The result shows that GSCI and environmental uncertainty significantly affect performance, and green innovation significantly moderates the effect. This research found that SME’s performance is influenced by GSCI concept and green innovation application as well as SME’s understanding about recent and future environmental uncertainties; this fits the market demand.

In this chapter, two reforms in initial teacher education at the University of Oslo are contrasted and compared with regard to the use of digital technology and the underlying ideas of teaching and learning. Reflecting different time periods of technology development, these reforms initiated in 2000 and 2012, respectively, offer valuable insights into how initial teacher education is influenced by technologies in the society and how conceptions of teacher professional learning are changing over time. This study highlights the constraints and affordances of the technologies for changing and bridging practices in teacher education. For the uptake and use of digital technology, the findings point to the necessity of critically examining the way in which the approaches to teaching and learning in initial teacher education and the constraints of how the technology designs are influencing student teachers’ learning.

Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent on social media and online platforms to gather travel-related information, purchase travel products, food, lodging, etc., and share views and experiences. The user-generated data helps companies make informed decisions through predictive and behavioural analytics.

Design/Methodology/Approach: This study uses text mining, deep learning, and machine learning techniques for data collection and sentiment analysis based on 117,151 online reviews of the customers posted on the TripAdvisor website from May 2004 to May 2019 from 197 hotels of five prominent budget hotel groups spread across India using Feedforward Neural Network along with Keras package and Softmax activation function.

Findings: The word-of-mouth turns into electronic word-of-mouth through social networking sites, with easy access to information that enables customers to pick a budget hotel. We identified 20 widely used words that most customers use in their reviews, which can help managers optimise operational efficiency by boosting consumer acceptability, satisfaction, positive experiences, and overcoming negative consumer perceptions.

Practical Implications: The analysis of the review patterns is based on real-time data, which is helpful to understand the customer’s requirements, particularly for budget hotels.

Originality/Value: We analysed TripAdvisor reviews posted over the last 16 years, excluding the Corona period due to industry crises. The findings reverberate in consonance with the performance improvement theory, which states feed-forward a neural network enhances organisational, process, and individual-level performance in the hospitality industry based on customer reviews.

The pandemic had a huge negative impact globally on small and micro firms, particularly on cultural enterprises, making it imperative for them to create strategic solutions for sustainable business models and customer relationships. This chapter studies the digital interventions employed by the micro cultural enterprises in the Japanese Onsens (Hot baths) sector during the pandemic period in Japan. Using the theoretical lenses of service dominant logic and value creation, the study extracts four prominent value creation processes from the analysis of the employed secondary data. The study underlines the importance of collaboration between a firm's internal and external resources, their creative use of operant resources, and a robust customer orientation leading to creative digitalization. The results of the study show how cultural enterprises can rethink customer service in the cultural and creative sector. It also draws attention to the need for more robust policies and support systems that can encourage global cultural enterprises to develop sustainable business models.

This chapter aims to highlight the existing applications and future prospects of Artificial Intelligence (AI) in the tourist business. In addition, this chapter investigates the obstacles in using AI in the Indian tourist industry.

To achieve the study's aims, both primary and secondary data are used. Using secondary sources, desk research was conducted to investigate the existing uses and future prospects of AI application in the global tourism industry. In addition, qualitative interviews with 25 executives in the Indian tourist business were undertaken to study the obstacles to using AI in the Indian tourism industry.

The research found that the applications of AI in the worldwide tourist business are extensive. Nonetheless, corporations are actively using AI-based technology to improve the customer experience via chatbots, intelligent forecasting and smart, tailored travel experiences. The qualitative interviews found that the implementation of AI technology in the Indian tourist industry is hindered by budgetary restrictions, knowledge constraints and barriers relating to human resources.

The use of AI in the tourism business may significantly improve the client experience. As a consequence, the use of AI-based chatbots and intelligent travel aides is growing exponentially. The research examined the many uses of AI in the worldwide tourist industry as well as the obstacles associated with the deployment of AI in the Indian tourism industry.

The main purpose of this chapter is to highlight the latest research on the implicit influence of online game advertising on children and to discuss some possible solutions to help them cope with this implicit influence.

This chapter reviews key theories and relevant empirical evidence in the literature on advertising to children in order to highlight the implicit influence of online game advertising on children.

Children can be influenced by online game advertising outside their awareness.

The chapter challenges the effectiveness of current advertising literacy education.

This chapter highlights the implicit influence of online game advertising on children. It also proposes alternative approaches to current advertising literacy education to help children cope with the implicit influence.