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As the consumer-centric approach is evolving in the 21st century, especially in the post-COVID-19 era, people seek unique experiences. Adopting co-creation in promoting a destination implies involving tourists, stakeholders and organisers in creating value for a product or service. The innovative strategy of co-creating experiences encourages tourists' engagement, leading to destination promotion. Some notable examples of co-creation in tourism are gastronomic tours, virtual tours and travel guides. This chapter aims at the significance of co-creating experiences at events that lead to destination promotion. Co-creation of experiences at events brings the spotlight from the stage to the audience and is considered the future of the experience economy. The study presents a case study of Jal Mahotsav in Madhya Pradesh, India. The study highlights the multi-stakeholder approach adopted by the authorities to co-create the event experience.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Purpose: An examination of the uptake and application of Robotic, Artificial Intelligence and Service Automation (RAISA) technologies by the events industry.

Design/methodology/approach: Academic and practitioner literature review and analysis pertaining to the relevance of RAISA in events.

Findings: The events industry has tended to rely on automation in staging and event production and the application of RAISA in events has been limited but holds great potential for the future. Whereas, in the hospitality and tourism industries RAISA has been applied across a range of service functions. For example, in such industries, artificial intelligence, machine learning and service robotics technologies have become commonplace. Nonetheless, the same level of adoption of RAISA in events is less evident particularly in front-of-house operation, due largely to the incompatibility with the raison d'être of event attendance – the purposive congregation of people seeking an event experience.

Research limitations/implications: The findings are the views of the authors and are therefore reliant upon existing events management literature on RAISA and their interpretation of this information and its application to the events industry.

Practical implications: RAISA has the capacity to play a crucial technical function in the events industry. However, it needs to be acknowledged that an event is essentially an experiential product which is simultaneously delivered and consumed in a particular setting/venue. RAISA applications and techniques avail event management immense sustainability and growth potential.

Social implications: Events are expressions of human social interactions and activities. Given the recent trend in sports media consumption as a substitute for live event attendance compounded by barriers to event attendance such as heightened terrorism threat and high expense/cost, there is a real risk of degradation of the social significance of the events industry. The prudent uptake of RAISA has the potential to emolliate the barriers to attendance while facilitating effective marketing and industry sustainability.

Originality/value: This chapter provides a new perspective in focusing on the potential applicability of RAISA in event management practice.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.

This chapter examines the experience of Russia's cities in the implementation of smart solutions. Previous theoretical and empirical studies cover a variety of dimensions, involved in the concept of a smart city, and practical issues concerning technologies, urban management, business models which improve urban residents' quality of life through digital technologies, artificial intellect under the conditions of creating appropriate infrastructure. In this chapter, we present the results of the analysis of some significant information about smart solutions deployed in Russian cities nowadays. We show how smart solutions get allocated among Russian cities and among different domains of this kind of solutions. Unlike most of other countries, smart solutions in Russia are less concentrated in such domains such as sustainable development or transport. Instead, a large number of relevant projects in Russia are concentrated in the field of informatization of urban life and energy efficiency. This feature is associated with budget centralization, the implementation of national programs by the Russian Federal Government. Consequently, in general, the Russian model of a smart city is less focused on demand, but to a greater extent it can be classified as supply-driven.