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The purpose of this editorial is to introduce eight training exercises developed for tourism executive decision making.

The paper introduces the papers in this special issue and discusses the need for experiential learning techniques for adult learners.

It was found that applied learning exercises are more effective than cognitive learning experiences in adult education.

The paper provides an introduction to experiential learning exercises for tourism and hospitality training.

In‐depth tourism is a new traveling pattern, which combines thematic traveling experience and personal knowledge. This paper aims to analyze the industry characteristics and approaches to develop and promote in‐depth tourism from a service innovation perspective.

The paper introduces the concept of in‐depth tourism and presents two case studies depicting the practices of this new approach. The paper also includes training and exercises on in‐depth tourism's implementation.

A three‐dimensional framework consisting of customer value, regional resources and competences, and technology adoption (e.g. information and communication technologies) is developed to guide service innovations in the tourism industry.

The new theoretical framework and set of training exercises provide management with the tools to effectively create and promote service innovations through in‐depth tourism.

The paper introduces the concepts and practices of in‐depth tourism from a service innovation perspective. In addition, the research provides several managerial and policy implications to manage service innovations and to promote regional development through in‐depth tourism.

A wide urban–rural income gap exists in China despite the implementation of pro-rural policies. Additionally, with the proliferation of the internet and information technology, the promotion effect of e-commerce on the economy has become apparent. Accordingly, China has been actively encouraging rural households to participate in e-commerce activities. This study aims to examine the effect of e-commerce on the urban–rural income gap.

In the study, linear and panel threshold models were applied to provincial-level panel data from 2002 to 2018.

The results of the linear model show that e-commerce contributes to narrowing the urban–rural income gap. Moreover, the panel threshold model results show that the narrowing effect exists in regions where the e-commerce intensity is at a medium-to-high level and urbanization is at a relatively low level; otherwise, e-commerce has no effect. In addition, in regions with a relatively high level of public expenditure and education, the income-gap-narrowing effect of e-commerce is more than double.

The urban–rural income gap can be reduced by promoting e-commerce and reducing the urban–rural divide in e-commerce use.

To determine how varying levels of e-commerce development affect the urban–rural income gap across regions, the study proposes four key causes of the digital divide in e-commerce: e-commerce intensity, public expenditure level, urbanization level and education level and applies the variables as threshold variables to examine the non-linear effect of e-commerce on the income gap.