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The healthcare sector is experiencing a major paradigm shift toward a people-centered approach. The key issue with transitioning to a people-centered approach is a lack of understanding of the ever-increasing role of technology in blended human-technology healthcare interactions and the impacts on healthcare actors' well-being. The purpose of the paper is to identify the key mechanisms and influencing factors through which blended service realities affect engaged actors' well-being in a healthcare context.

This conceptual paper takes a human-centric perspective and a value co-creation lens and uses theory synthesis and adaptation to investigate blended human-technology service realities in healthcare services.

The authors conceptualize three blended human-technology service realities – human-dominant, balanced and technology-dominant – and identify two key mechanisms – shared control and emotional-social and cognitive complexity – and three influencing factors – meaningful human-technology experiences, agency and DART (dialogue, access, risk, transparency) – that affect the well-being outcome of engaged actors in these blended human-technology service realities.

Managerially, the framework provides a useful tool for the design and management of blended human-technology realities. The paper explains how healthcare services should pay attention to management and interventions of different services realities and their impact on engaged actors. Blended human-technology reality examples – telehealth, virtual reality (VR) and service robots in healthcare – are used to support and contextualize the study’s conceptual work. A future research agenda is provided.

This study contributes to service literature by developing a new conceptual framework that underpins the mechanisms and factors that influence the relationships between blended human-technology service realities and engaged actors' well-being.

In the context of a profound digital transformation, the need for social interactivity is becoming fundamental for consumers on e-commerce sites. It allows them to interact with the company in the same way as with salespeople in physical stores. Among the different existing virtual agents used by companies to offer online solid interaction, this study focuses on virtual recommendation agents (VRAs). The purpose of this paper is to investigate the effectiveness of VRA on consumers’ psychological states and online impulse buying.

An experimental website was designed for this study. After interacting with VRA, respondents had to take part in a survey. The questionnaire included measures of perception of the VRA, perceived enjoyment, online impulse buying and perceived risk. Structural equation modelling was used to test the research model.

The results confirm the positive influence of the VRA on perceived enjoyment, which is positively associated with online impulse buying. The effect of the VRA’s presence on perceived enjoyment is moderated by gender.

Only one product category was studied, for which the advice of VRAs is undoubtedly essential. However, this could also be valid for other products, such as technological products, where the consumer’s level of expertise may be low. Hence, the authors propose to extend this study to various products for a better generalization of the results.

This study provides practitioners with relevant findings on the efficiency of VRAs and offers them guidelines to design more interactive commercial websites with higher levels of social interactions. Such interactions should reduce perceived risks and make visitors more confident. This can encourage more traffic and sales, which implies growth in incomes and revenues.

Through this technology, VRAs can create more humanized links between consumers and companies.

Working on VRAs is original as they represent the technology that can replace salespeople. In addition, to the best of the authors’ knowledge, this research is the first to test the impact of VRA on online impulse buying. By examining the VRA’s set of fundamental capabilities, this study contributes to existing research on how companies should integrate digital technologies in their sales interactions with consumers, which to date has focused on other sales channels such as social media platforms.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

Advances in health care are enabling individuals to live longer, healthier lives. Although the use of information technology can improve the quality of life for the elderly, many older consumers choose to limit their interactions with information technology and so may be denied its potential benefits for enhancing quality of life. This paper seeks to explore factors impacting the engagement of consumers aged 65 and older with higher forms of IT, primarily PCs and the internet, and to examine the potential effectiveness of marketing methods toward improving diffusion and increasing engagement.

Citing published research and using previously known models (TAM and Trocchia and Janda's interaction themes) the study highlights possible ways of using marketing tools to increase elder consumer interaction with IT.

Marketers should focus efforts on reference group affiliation, nature of social relations, perception of reality, and physical dexterity as the interaction themes on which to focus marketing efforts, because they seem to be a most effective mechanism for influencing engagement.

The paper represents an initial attempt to identify potential influences toward increasing the IT adoption by elder consumers. It presents a theoretical framework for the future investigation of the diagnosed problem: what are the ways of successfully influencing the adoption of information technology by older consumers by using traditional components of marketing mix (product, price, promotion, and place)?

In the fast pace of technology advancement and the potential for assistance for elder members of society, the paper discusses how to market the use of IT to consumers aged 65 and older and considers the factors that could be related to product, price, place, and promotion in this context.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

In the growing information systems (IS) literature on metaverse, augmented reality (AR) technology is regarded as a cornerstone of the metaverse which enables interaction services. Interaction has been identified as a core technology characteristic of metaverse shopping environments. Based on previous human–technology interaction research, the authors further explicate interaction to be multimodal sensory. The purpose of this study is thus to better understand the unique nature of interaction in AR technology and highlight the technology's benefits for shopping in metaverse spaces.

An experiment has been conducted to empirically examine the authors' research model. The authors use the structural equation modeling (SEM) approach to analyze the collected data.

This study conceptualizes image, motion and touchscreen interactions as the three dimensions of multimodal sensory interaction, which can reflect visual-, kinesthetic- and haptic-based sensation stimulation. The authors' findings show that multimodal sensory interaction of AR activates consumers' intention to purchase via a psychological process. To delineate this psychological process, the authors use feelings-as-information theory to posit that experiential factors can influence cognitive factors. More specifically, multimodal sensory interaction is shown to increase multisensory experience and spatial presence, which can effectively reduce product uncertainty and information overload. The two outcomes have been considered to be key issues in online shopping environments.

This study is one of the first ones that shed light on the multimodal sensory peculiarity of AR interactions in the extant IS literature. The authors further highlight the benefits of AR in addressing major online shopping concerns about product uncertainty and information overload, which are largely overlooked by prior research. This study uses feelings-as-information theory to explain the impacts of AR interactions, which reveal the essential role of the experiential process in sensory-enabling technologies. This study enriches the existing theoretical frameworks that mostly focus on the cognitive process. The authors' findings about AR interactions provide noteworthy guidelines for the design of metaverse environments and extend the authors' understanding of how the metaverse may bring benefits beyond traditional online shopping settings.

This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.

This study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.

The findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.

This study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.

Practitioners need to understand how households will engage with connected-home technologies or risk the failure of these innovations. Current theory does not offer sufficient explanation for how households will engage; hence, this paper aims to address an important gap by examining how households set “rules of engagement” for connected-home technologies in the context of electricity use and monitoring.

A review of the extant psychology, technology and engagement literature is conducted and yields two research questions for exploration. The research questions are addressed via 43 in-depth household interviews. Analysis includes thematic analysis and computerized text analysis.

The results include a typology of technology engagement (the “PIP typology”) and discuss three main roles for technology in assisting households: intern, assistant and manager. Key contributions are as follows: consumers in household settings may experience “compromised engagement” where the perceived middle option is selected even if no-one selected that option originally; households open to using connected-home technologies are often taking advantage of their ability to “delegate” engagement to technology, and because consumers humanize technology, they also expect technology to follow social roles and boundaries.

Future research may examine the PIP typology quantitatively and/or in different contexts and would benefit from a longitudinal study to examine how household technology engagement evolves. Four research propositions are provided, which may form the basis for future research.

Recommendations for practitioners are presented regarding the benefits of keeping consumers at the heart of connected-home technology goods and services. Specific design principles are provided.

This paper fulfills the need to understand how households will engage with connected-home technologies and the roles this technology may fulfill in the complex household service system.

The purpose of this study was, first, to link interpersonal-hedonic values, intuitive-experiential thinking style, external locus of control (LOC) and sociability to the need for interaction with a retail employee; and, second, to empirically test the moderating effect of the time convenience of self-service technologies (SSTs) on the proposed relationships in the model.

This study was conducted in a retail setting in which an automated checkout process occurred with the use of self-checkout systems. A self-administered, online survey approach was utilized targeting consumer panel members. Data were analyzed using structural equation modeling.

Interpersonal-hedonic values, external LOC and sociability emerged as reliable antecedents of the need for interaction with a retail employee, whereas the intuitive-experiential thinking style did not. This study also showed the inverse relationship between the need for interaction with a retail employee and the intentions to use SSTs. In relation to the moderating role of the time convenience of SSTs, the positive effects of interpersonal-hedonic values, intuitive-experiential thinking style, external LOC and sociability on the need for interaction with a retail employee were shown lesser for consumers with low levels of the time convenience of SSTs. The negative effect of the need for interaction with a retail employee on the intentions to use SSTs was shown to be greater for consumers with low levels of the time convenience of SSTs.

The present study adds to a growing body of literature on SSTs by exploring the causal and hierarchical effects of personality traits that determine the intentions to use SSTs.