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The purposes of this paper were to assess the quality of life (QoL) in patients with type II diabetes mellitus (DM) in a suburban tertiary hospital and determine the factors that affect the QoL including individual characteristics, health factors, self-care behaviors and social support.

This study was a cross-sectional study among DM type II cases being treated in a suburban tertiary hospital in Thailand. Data were collected by personal interview from 188 patients in 2018. Diabetes-39 was administered to assess QoL.

54.3 percent of patients had good QoL. Total score of QoL was moderate which found an average score of 216.0 ± 41.0, 46.8% had moderate level in self-care behaviors and 56.4 percent had moderate level in social support. The factors associated with QoL in patients were cerebrovascular disease (Fisher = 7.2, p = 0.01), self-care behaviors (rs = 0.191, p = 0.008) and social support (rs = 0.229, p = 0.002).

Health care system ought to develop a policy driven to improve the QoL in DM type II patients by encouraging self-care behaviors and social support for DM type II patients.

Children suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the illness. The purpose of this paper is to examine the non-medical needs of children suffering from a long-term illness, as well as research the field of artificial intelligence (AI) – more specifically, the use of socially intelligent agents (SIAs) – in order to study how technology can enhance children's interaction, participation and quality of life.

Interviews were performed with experts in three fields: housing manager for hospitalized children, a professor in computing science and researcher in AI, and an engineer and developer at a tech company.

It is important for children to be able to take control of the narrative by using an SIA to support the documentation of their period of illness, for example. This could serve as a way of processing emotions, documenting educational development or keeping a reference for later in life. The findings also show that the societal benefits of AI include automating mundane tasks and recognizing patterns.

The originality of this study concerns the holistic approach of increasing the knowledge and understanding of these children's specific needs and challenges, particularly regarding their participation and interaction with teachers and friends at school, using an SIA.

The purpose of this paper to explore socio-demographic factors related to the quality of life (QoL) among older adults in the rural area of Thailand.

This cross-sectional study examined socio-demographic factor that may predict the QoL among 470 older adults who lived in a rural area of Northern Thailand. The study questionnaire consisted of four parts, including socio-demographic data, perceptions of the health status, family relationship and QoL (WHOQOL-OLD). Spearman’s ρ or Pearson’s product moment correlation coefficients were determine the factors associated with the QoL. Stepwise multiple regressions were carried out to describe predictors of the QoL.

Majority of the participants (71 percent) were between 60 and 79 years old. Three-quarters of participants had primary school educational level. Most (74 percent) were married and no longer work (72 percent). Most (87 percent) had a moderate level of the QoL in all six domains. Six predictors of QoL include age, gender, education, current employment, health status perception and family relationship. These factors could significantly predict the QoL of the older adults by 30 percent.

Public health officers should collaborate with community partners and relevant stakeholders to increase the QoL of older adults in the rural area through activities which promote health status perception and family relationship.

The purpose of this study is to identify conditions under which consumers prefer matte packages and those under which they prefer glossy packages and to extend the findings to the context of consumer evaluations.

A series of four experiments-conducted across a diverse range of settings and consumers (through lab experiments and field studies) and using different types of products (mobile phones, invitation cards, wrappers and coffee packs)- examined the effects of matte and glossy packaging finishes on consumer evaluations (i.e. preferences, attitudes and purchase intentions). This paper further developed moderated mediation models to illustrate the mechanisms underlying the examined effects.

People with warmth and competence focus favored matte and glossy packaging, respectively. In addition, the warmth (competence) focus enhanced the positive influence of matte (glossy) packaging on brand sincerity (competence), leading to more favorable consumer evaluations (i.e. brand attitudes, product attitudes and purchase intentions).

This study provides managers with insights into conferring desired impressions of sincerity (competence) upon a brand and methods of attracting certain warmth focused (competence focused) consumers by using matte (glossy) packaging finishes.

This is the study to systematically investigate the effect of packaging finishes on brand impressions and consumer evaluations.

Drawing on the stereotype content model (SCM), the authors investigate the stereotype content transfer (in terms of warmth and competence) from country to brand and the simultaneous impact of these two stereotypes on consumer responses toward brands.

The authors test a structural equation model conceptualizing brand stereotypes as full mediators between country stereotypes and consumer outcomes. In addition, in a moderated mediation analysis, the authors investigate the role of brand typicality and utilitarianism/hedonism in potentially moderating the country to brand stereotype content transfer.

Country warmth and competence, respectively, impact brand warmth and competence, thus confirming the hypothesized stereotype content transfer. This transfer is found to be robust and not contingent on brands' perceived typicality of their country of origin. However, brands' utilitarian nature amplifies the positive impact of country competence on brand competence. Finally, brand stereotypes fully mediate the impact of country stereotypes on consumers' brand attitudes and behavioral intentions.

The authors provide the first empirical attempt that (1) explicitly differentiates between consumers' stereotypical perceptions of countries and stereotypical perceptions of brands from these countries, (2) empirically examines the transfer of stereotypical dimensions of different targets (i.e. country to brand), (3) explores boundary conditions for such transfer and (4) simultaneously considers the impact of both kinds of stereotypes on managerially relevant consumer outcomes.

The impact of frontline robots (FLRs) on customer orientation perceptions remains unclear. This is remarkable because customers may associate FLRs with standardization and cost-cutting, such that they may not fit firms that aim to be customer oriented.

In four experiments, data are collected from customers interacting with frontline employees (FLEs) and FLRs in different settings.

FLEs are perceived as more customer-oriented than FLRs due to higher competence and warmth evaluations. A relational interaction style attenuates the difference in perceived competence between FLRs and FLEs. These agents are also perceived as more similar in competence and warmth when FLRs participate in the customer journey's information and negotiation stages. Switching from FLE to FLR in the journey harms FLR evaluations.

The authors recommend firms to place FLRs only in the negotiation stage or in both the information and negotiation stages of the customer journey. Still then customers should not transition from employees to robots (vice versa does no harm). Firms should ensure that FLRs utilize a relational style when interacting with customers for optimal effects.

The authors bridge the FLR and sales/marketing literature by drawing on social cognition theory. The authors also identify the product categories for which customers are willing to negotiate with an FLR. Broadly speaking, this study’s findings underline that customers perceive robots as having agency (i.e. the mental capacity for acting with intentionality) and, just as humans, can be customer-oriented.

The purpose of the current study is to investigate occupational stereotypes among a professional sample of recruiters and other employees on the two fundamental dimensions of warmth and competence.

The authors conducted a survey to collect professionals´ (mostly recruiters´) ratings of preselected occupations. Participants were asked to rate warmth and competence attributes. Factor and cluster analysis were employed to investigate the two-dimensional structure of the warmth/competence space and how and whether occupations cluster as predicted by the stereotype content model (SCM).

Almost all occupations showed a clear two-factorial structure, corresponding to the warmth/competence dimensions. A five-cluster solution was deemed appropriate as depicting how occupations disperse on these dimensions. Implications for stereotyping research, the design of hiring discrimination experiments, and HRM are discussed.

In contrast to previous related research, in which participants select the included occupations themselves, the authors included prespecified common occupations, which should be important for representativeness. In addition, previous research has been conducted in the United States, while the authors conduct this study in a European context (Sweden). Finally, instead of studying students or participants with unspecified work experience, the authors focus on professionals (mostly recruiters).

This study aims to examine humans’ reactions to service robots’ display of warmth in robot-to-robot interactions – a setting in which humans’ impressions of a service robot will not only be based on what this robot does in relation to humans, but also on what it does to other robots.

Service robot display of warmth was manipulated in an experimental setting in such a way that a service robot A expressed low versus high levels of warmth in relation to another service robot B.

The results indicate that a high level of warmth expressed by robot A vis-à-vis robot B boosted humans’ overall evaluations of A, and that this influence was mediated by the perceived humanness and the perceived happiness of A.

Numerous studies have examined humans’ reactions when they interact with a service robot or other synthetic agents that provide service. Future service encounters, however, will comprise also multi-robot systems, which means that there will be many opportunities for humans to be exposed to robot-to-robot interactions. Yet, this setting has hitherto rarely been examined in the service literature.