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The purpose of this paper is to (a) examine the current state of the digital economy in Southeast Asia (SEA), the challenges and opportunities derived from digital transformation and the digital economy, and the impact of the digital economy on SEA, especially human and physical capital development, and (b) propose policy recommendations for SEA countries to better manage digital transformation.

This is a conceptual paper. The theoretical framework has been built from the three-sector governance approach to identify the issues of the digital economy and propose solutions to address the issues. Specifically, it examines the role and activities of the public sector, the private sector and the third sector to address the challenges posed by the digital economy, especially human and physical capital development.

This paper revealed challenges and opportunities derived from the experience of Southeast Asian countries and proposed several policies recommendations, including a common data policy and payment platform for the Asian region, a good training and development policy to equip the workforce with digital skills, and digital mindset as well as build cybersecurity capability and capacity at the regional level.

This paper is significant as it examines the development of the digital economy from an interdisciplinary perspective – including economics, digitalisation, governance, management, public policy, technology and human resource development. It also provides better insights into how SEA's digital economic development can be further improved to contribute to a sustainable regional economy.

This paper aims to provide insights into service innovation (SI) during the COVID-19 crisis and its potential impact on tourism development in the medium-to-long term. The pandemic had a devastating effect on the industry, requiring immediate mitigation. It is yet to fully establish the impact of SI in the face of the COVID-19 volatility, uncertainty, complexity and ambiguity (VUCA). This study discusses the potential link between SI and COVID-19 crisis mitigation and offers recommendations for tourism recovery.

This paper synthesizes empirical evidence on post-crisis tourism SI using a theory-based general literature review approach.

COVID-19 crisis spun various forms of SI, which emerged as a conventional solution to crisis prevention, encompassing the management of crisis-time competitiveness, revenue deficits and risk perception. However, resistance to innovative services is linked to situational conditions.

COVID-19 is an unprecedented crisis. Therefore, this study serves as a primer for further inquiry into SI. For instance, areas such as governance in tourism innovation and consumers' inclination toward innovation-driven services are underexplored.

SI acts as a situational facilitator, but its characteristics can impede or facilitate adoption. Moreover, the irrelevance of innovations in some environments is evidenced. Thus, practitioners must adopt a responsive learning approach in SI adoption. To mitigate the COVID-19 impacts, reconfiguration in SI, recovery marketing strategy, knowledge gap and governance will be critical interventions.

This paper is one of the first comprehensive discussions on the potential role of SI in mitigating the impact of COVID-19 on the THI.

The purpose of this paper is to study the drivers of service provider switching intention other than satisfaction and, additionally, analyse the moderating role of the type of service (utilitarian vs hedonic). Specifically, the authors study the effects of alternative attractiveness, post-purchase regret, anticipated regret and past switching behaviour.

A representative survey with 800 consumers of mobile phone services (utilitarian) and holiday destinations (hedonic) was carried out.

Satisfaction is not a significant antecedent of switching intention in the hedonic service and its effect is marginal in the utilitarian service. In the utilitarian service, the main predictor of switching intention is post-purchase regret, whereas in the hedonic service, the main determinants of switching intention are past switching behaviour and anticipated regret.

The main contribution of this study is the analysis of the determinants of provider switching behaviour that may explain abandonment by satisfied customers, to see if their influence is greater or smaller than that of satisfaction itself, which has been the most analysed variable. Furthermore, there are expected to be differences between utilitarian and hedonic services, an aspect which is also studied in this work.

This paper aims to provide a critical synthesis of the interface of corporate social responsibility (CSR) and peer-to-peer (P2P) accommodation to offer insights that contribute to theory and practice of CSR in hospitality.

By using key CSR models, this paper reflects on the nexus between CSR and P2P accommodation (with a focus on Airbnb) to identify opportunities and challenges with regard to CSR implementation in P2P accommodation and, thereby, progress the research agenda on the topic.

This contribution will hopefully enable policymakers to improve the accountability of stakeholders related to P2P accommodation in terms of the sector’s impacts on local communities while contributing to the progression of the research agenda on CSR in hospitality.

Because this contribution is meant to be a “critical reflection paper”, the main purpose is to flesh out a commentary offering recommendations on how to account for CSR in relation to P2P accommodation and primarily Airbnb. As such, this paper aims to prompt future empirical research on the topic. Naturally, the major downside of this type of paper is the lack of an empirical approach.

This paper advances theory on hospitality-related CSR, enabling policymakers to improve the stakeholders’ accountability related to P2P accommodation in terms of the sector’s impacts on local communities.

Despite the increasing importance of CSR in hospitality, minimal academic attention has been paid insofar to CSR in the P2P accommodation sector. This inattention is surprising given the rapid expansion of the sector which, in turn, has imposed significant pressures on local communities.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.