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This paper aims to explore the match between needs and services related to participation for frail older adults receiving home care.

A qualitative multiple case study was conducted with 11 triads each involving an elder, a caregiver and a healthcare provider working in a Health and Social Services Centers (HSSCs).

Although HSSCs in Québec are supposed to promote social integration and participation of older adults, services provided to the older adults in this study focused mainly on safety and independence in personal care, dressing, mobility and nutrition, without fully meeting older adults’ needs in these areas. Discrepancies between needs and services may be attributable to the assessment not covering all the dimensions of social participation or accurately identifying older adults’ complex needs; older adults’ and their caregivers’ difficulties identifying their needs and accepting their limitations and the assistance offered; healthcare providers’ limited knowledge and time to comprehensively assess needs and provide services; guidelines restricting the types and quantity of services to be supplied; and limited knowledge of older adults, caregivers and healthcare providers about services and resources available in the community.

To improve and maintain older adults’ participation, a more thorough assessment of their participation, especially in social activities, is required, as is greater support for older adults and their families in using available community resources. It is also important to review the services provided by HSSCs and to optimize partnerships with community organizations.

Service robots are gradually becoming more anthropomorphic and intelligent. This research aims to investigate how anthropomorphic service robots with different levels of intelligence affect their human counterparts.

Two between-subject experimental studies were used to test whether different levels of service robot anthropomorphism with different levels of intelligence influence employees' morale and resistance to service robots.

Study 1 shows that the effect of service robot anthropomorphism (low vs. high) on employees' resistance and morale is mediated by perceived job-security threat. Study 2 validates this mediating effect and shows that it is moderated by the type of AI (mechanical vs. analytical). Specifically, when exposed to mechanical AI-powered service robots, employees exhibit a higher perceived job-security threat toward robots with a high (vs. low) degree of anthropomorphism. This moderating effect is not observed when employees are exposed to analytical AI-powered service robots. This moderated mediation effect is also found for the signing of a petition as the behavioral outcome.

Service firms considering the adoption of mechanical AI-powered service robots should choose a low (vs. high) anthropomorphic robot to reduce the sense of job-security threat felt by human employees, which subsequently increases their acceptance. However, if analytical AI-powered service robots with are to replace their human employees, the degree of anthropomorphism becomes irrelevant.

This is the first empirical study to explore how anthropomorphic service robots can influence human employees' evaluations and behaviors.

Over the last years, the concept of customer delight has moved into the focus of attention. The necessity of surprise for achieving customer delight and the problem of increased customer expectation (spiral of expectations) have been controversially discussed in the literature. The purpose of the paper is therefore to investigate whether customer delight necessarily requires surprise and whether a misdirected delight strategy can backfire by creating disloyal customers.

This study employs a 2 (after-sales extra value: yes vs no)×2 (knowledge about the extra value: yes vs no) between-subject, scenario-based experiment (n=472) in a hotel environment and partial least squares structural equation modeling to analyze the data.

Study results show that surprise is not a necessary prerequisite for achieving customer delight, but its presence strengthens the delight experience for the customer, positively impacting customer loyalty intentions. Conversely, a surprising nonoccurrence of an expected delight measure causes anger, inducing negative word of mouth and reduced repurchase intentions.

To pursue a sustainable customer delight approach, companies should recognize that they do not need to surprise their customers on every occasion, but rather ensure that customers do not fall short of anticipated delightful events.

The current research strives to contribute to the theory and practice by shedding light on two so far not appropriately addressed research areas of customer delight: the necessity of surprise to evoke customer delight and the consequences of absent but expected delight measures.

Consumers' perceptions of product intelligence affect their willingness to accept smart offerings. This paper explores how people perceive various smart products based on their smartness profiles, composed of five distinct smartness facets. Additionally, the study investigates how these perceptions of product intelligence impact consumers' evaluation of factors that either promote or impede the adoption of smart products. These factors are examined as potential mediators in the adoption process. This paper aims to determine if the value-based adoption model can be applied to a broad range of smart service systems.

Consumers assessed one of 28 smart products in a scenario-based quantitative study. Multilevel structural equation modeling (SEM) is used to test the conceptual model, taking the nested data structure into account.

The findings show that product smartness essentially enhances usage intention via adoption drivers (enjoyment and usefulness) and reduces usage intention via adoption barriers (intrusiveness). In particular, the ability to interact in a humanlike manner increases the benefits consumers perceive, which in turn increases consumer acceptance. Only the smartness characteristic of awareness impairs usage intention, mediated by the perceived benefits of enjoyment and usefulness.

In contrast to previous research, which usually focuses on single smart products, this work examines a variety of different products, which allows for better transferability of the results to other smart offerings. Furthermore, prior research has mainly focused on single facets of product smartness or researched smartness on an aggregated level. By considering the consumer perception of each smartness facet, the authors gain deeper insights into the perceptual differences regarding product smartness and how this affects technology adoption via conflicting key acceptance drivers and barriers.