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Dementia is a complex, progressively degenerative condition. It results in loss of cognitive and functional capabilities, along with a significant increase in the level of dependency. A reduction in the use of pharmacological interventions correlates with an increased in good quality non-pharmacological interventions in dementia care. The purpose of this study is to examine the impact of 14-session face-to-face cognitive stimulation therapy (CST) and Sonas group interventions on individuals living with dementia with moderate cognitive impairment, from pre-intervention to post-intervention in terms of their cognition, communication, neuropsychiatric symptoms, activities of daily living and quality of life.

A pilot single blind prospective controlled trial evaluated two group intervention approaches, cognitive stimulation therapy (CST) and Sonas, with 28 participants with moderate dementia. Pseudorandomisation and single blinding were implemented. CST has a solid evidence base. Sonas is a widely used multi-sensory intervention in Ireland with an emerging evidence base. Participants were recruited from a mental health service. Participants who had a formal diagnosis of dementia, moderate cognitive impairment and some ability to communicate and understand communication were included.

Results supported CST to a greater extent than Sonas. The CST group showed significant changes in cognition (p = 0.032) and communication (p = 0.006). Both groups had significant changes in carer quality of life (CST, p = 0.019; Sonas, p = 0.035). Results support the recommendations for a future definitive trial.

Rehabilitation potential of individuals living with moderate dementia was demonstrated. This study suggests that group interventions like these impact on the trajectory of dementia.

Rehabilitation interventions impact on the trajectory of dementia. CST and Sonas have no impact on activities of daily living. Future studies with larger sample sizes, 16 weeks intervention period and control groups are required.

This pilot study supports CST over Sonas interventions for individuals living with moderate dementia. Multiple outcome measures demonstrated trends towards significance for both interventions. Future definitive trials may detect a significant effect of both interventions.

A dementia diagnosis is devastating and generally creates negative perceptions and associations (Alvira, 2014). In contrast, the outcomes of this study are positive. This study provides evidence that occupational therapist intervention can impact on the trajectory of the condition with people with dementia demonstrating that they do have rehabilitation potential by responding to treatment and improving and maintaining their abilities as they progress through the condition.

This paper aims to explore and review the potential of robotic rehabilitation as a treatment approach for Alzheimer’s disease (AD) and its impact on the health and quality of life of AD patients.

The present discourse endeavors to provide a comprehensive overview of extant scholarly inquiries that have examined the salience of inhibitory mechanisms vis-à-vis robotic interventions and their impact on patients with AD. Specifically, this review aims to explicate the contemporary state of affairs in this realm by furnishing a detailed explication of ongoing research endeavors. With the objective of elucidating the significance of inhibitory processes in robotic therapies for individuals with AD, this analysis offers a critical appraisal of extant literature that probes the intersection of cognitive mechanisms and assistive technologies. Through a meticulous analysis of diverse scholarly contributions, this review advances a nuanced understanding of the intricate interplay between inhibitory processes and robotic interventions in the context of AD.

According to the review papers, it appears that implementing robot-assisted rehabilitation can serve as a pragmatic and effective solution for enhancing the well-being and overall quality of life of patients and families engaged with AD. Besides, this new feature in the robotic area is anticipated to have a critical role in the success of this innovative approach.

Due to the nascent nature of this cutting-edge technology and the constrained configuration of the mechanized entity in question, further protracted analysis is imperative to ascertain the advantages and drawbacks of robotic rehabilitation vis-à-vis individuals afflicted with Alzheimer’s ailment.

The potential for robots to serve as indispensable assets in the provision of care for individuals afflicted with AD is significant; however, their efficacy and appropriateness for utilization by caregivers of AD patients must be subjected to further rigorous scrutiny.

This paper reviews the current robotic method and compares the current state of the art for the AD patient.

The purpose of this study is to find out a simple cognitive intervention method to use MCI and suffering people with depression. As the elderly society increases around the world, the number of elderly people with diseases and dementia is increasing rapidly. Mild cognitive impairment (MCI), a pre-stage to dementia, is a critical treatment time to slow disease progression. However, there is currently no appropriate medication. Furthermore, MCI patients with depression are more difficult to treat.

To overcome these problems, the authors confirmed improvements and delayed effects in MCI patients in this study for three years through cognitive intervention, demonstrating its effectiveness. Cognitive interventions were conducted for memory retrieval and steadily stimulated the brain by performing tasks to solve problems during daily conversations.

As a result, the intervention group retained mini-mental state examination and Montreal cognitive assessment scores on the domains of cognitive function and also instrumental activities of daily living in the domain of motion compared to the non-intervention group. Moreover, significant improvements in geriatric depression scales-15 and quality-of-life scales enabled the patients to maintain stable living compared to before the intervention. In addition, the intervention group showed a change in patterns that allowed them to voluntarily devote time to going out at the end of the study.

This study was originally planned to compare the rates of transmission from MCI to dementia by tracking over five years (2016–2021). However, due to the impact of COVID-19, which began to spread around the world in 2020, further face-to-face visits and cognitive intervention became impossible. Thus, only half of the data in the existing plans were collected. Although it is difficult to present accurate results for the rate of transmission from MCI to dementia, the tendency was confirmed, indicating sufficient implications as an intervention.

This study was originally planned to compare the rates of transmission from MCI to dementia by tracking three years (2016–2019). The authors had studied for long-term effect.

This paper aims to underline the importance of using a collaborative approach when designing and adapting a post diagnostic psychosocial intervention of cognitive stimulation therapy (CST) for people with intellectual disability and dementia.

As part of a service improvement, a manual of CST was adapted, for delivery in clinical practice. A qualitative co-production method allowed participants with a lived experience to provide regular feedback relating to the development of the adapted CST manual and intervention programme. This feedback was used to make continual development changes to the CST manual.

The study demonstrated co-production with those who provide care is valuable in adapting psychosocial therapies for people with an intellectual disability and dementia. Additional findings identified the need for carer education in ageing, dementia care and the physical health needs for older people with intellectual disability.

To the best of the authors’ knowledge, this is the first study that has used a co-production approach with families and carers in adapting a group therapy programme for people with an intellectual disability. This paper underlines the need for post diagnostic clinical interventions for people with dementia and those who provide care.

This research aims to examine the conditions under which individuals’ olfaction is actively engaged in purchase decisions. Consequently, it introduces the concept of need for smell (NFS) to measure differential motivation for the extraction and use of odor information in buying contexts. A ten-item NFS scale was developed that consists of hedonic and utilitarian dimensions.

The scale’s dimensionality and construct validity were examined in five studies. The moderating role of NFS and the mediating role of emotions in the relationship between odor perception and consumer responses were examined. The data were analyzed using confirmatory factor analyses and customized PROCESS models.

The results show that NFS is a two-dimensional construct. The results further support the scale’s internal structure as well as its reliability, convergent, discriminant and nomological validity. NFS moderates the relationship between odor perception and consumer responses, and emotions mediate this relationship. While hedonic NFS strengthens the impact of odor perception on consumer responses, utilitarian NFS weakens this effect.

The present research extends Krishna’s sensory marketing framework, De Luca and Botelho’s scent research framework and Herz et al.’s scent benefits framework, by introducing the concept of NFS into these frameworks. The study demonstrates the relevance and functionality of NFS construct and NFS scale. The study extends the consumer scent research by introducing NFS and illustrating the interplay of odor perception and NFS on consumer responses to scent stimuli.

The NFS scale used in this study adds to the genre of individual difference scales such as need for cognition and need for touch. Given its smell-specific focus, it has applications in a range of consumption contexts. Using NFS, marketers could effectively identify low and high hedonic and utilitarian NFS consumers and position product or ambient scents to serve these segments better. The NFS scale also has implications for the areas of product and service design and development, consumer information search, brand judgments and choice preferences in both scented and non-scented environments.

This work is one of the first attempts, to the best of the authors’ knowledge, to explain motivational differences in active engagement of olfaction, especially in purchase decisions. As a critical step in exploring olfactory information processing, the study demonstrates the relevance and functionality of NFS construct and NFS scale. The study extends the consumer scent research by introducing NFS and illustrating the interplay of odor perception and NFS on consumer responses to scent stimuli.

Although the literature provides insights into the role of experiential learning based on prototypes in identification of latent customer need, it offers different views on the role of product prototypes in improving the efficacy of learning customer need, and also neglects the role of vicarious learning in prototype-based experiential learning. In a data-rich environment, market big data create new opportunities to learn from vicarious, digitalized experiences that are not observable with prototype-based learning. Therefore, the purpose of this study is to compare the effects of product prototype strategies – basic prototype strategy and enhanced prototype strategy – on identification of latent customer needs, and determine how each prototype strategy interacts with vicarious learning based on market big data to identify latent customer needs.

We collected data from 299 Chinese manufacturing firms via on-site surveys to explore our research question. All of our hypotheses were supported by the regression results.

This study finds that both the enhanced and basic prototype strategies (experiential learning from direct market experience based on prototyping) have positive effects on latent need identification, but the effect of enhanced prototypes is stronger. Furthermore, the enhanced and basic prototype strategies have different interaction effects with market big data (vicarious learning from indirect market experiences) on latent need identification.

This research extends the literature on prototype-based learning for latent need identification. It also contributes to the experiential prototype-based learning literature by exploring the role of vicarious learning based on market big data.

Spaced learning (SL) and experiential learning (EL) have been identified as being more efficient to long-term knowledge retention than other forms of learning. The purpose of this paper is to confirm these benefits of SL and EL in a work-based learning environment.

This case study research monitored changes in learning outcomes of a work-based EL training, the Model Warehouse, when adding SL. The Model Warehouse of the Karlsruher Institute for Technology, Germany intends to educate professionals in lean warehouse logistics. Following a pragmatic standpoint, two groups of students were considered and compared by using multiple-choice question based knowledge tests where one group participated in an additional SL session. The experiences and perceptions of students were assessed by conducting in-depth interviews.

Findings revealed that adding SL to the EL training resulted either in students’ knowledge retention or knowledge improvement. Additionally, participants of the SL session did not perceive it as being required to strengthen understanding of lean warehouse management.

This study recommends considering SL as an effective means to significantly enhance long-term knowledge retention of any work-based or EL training.

This study confirms the benefits of SL and EL drawn from laboratory-based studies in a real business context. Adopting both learning theories in training programmes which converge with realities of the workplace results in a significant improvement of long-term knowledge retention.

It is now widely accepted that many people with dementia can report in a consistent and valid way on their quality of life. This review aims to identify modifiable factors associated with quality of life in people with dementia, which can then form the basis for interventions enhancing quality of life.

The review draws together findings in dementia care on interventions with those on quality of life.

Cognitive function is not associated with quality of life in people with dementia, although paradoxically, some cognition‐focused approaches do appear to lead to improvements in quality of life. Depression is most consistently associated with lower quality of life. Also important are quality of relationships with carers, staff attitudes, family involvement and avoidance of use of anti‐psychotic medication. Potentially effective interventions are available in relation to each of these factors.

Hope regarding what can be achieved with people with dementia is the attitude most associated with quality of life. This goes beyond person‐centred care values, and emphasises the potential for making a difference that is of value.

Achieving social inclusion for people with dementia requires the development of dementia supportive communities, allowing and supporting people with dementia to take part in a wider range of valued activities and roles.

The sense that “nothing can be done” remains prevalent in relation to dementia. This review challenges this assumption, and indicates how living well with dementia can become a reality, not simply an aspiration.

The purpose of this paper is to examine the relationship between online retail therapy and consumers’ attitudes towards online fashion shopping malls (ATO) based on the stimulus–organism–response model.

This study examined how online retail therapy factors (e.g. the aesthetics of web design and attractiveness of the models) affect consumers’ ATO. In particular, the authors examined the mediation of positive mood reinforcement (PMR) and negative mood reduction (NMR).

The results indicated that aesthetics has a significant and direct effect on ATO. However, model attractiveness has an indirect effect on ATO through PMR and NMR. In addition, the direct effect of aesthetics on ATO is greater than the indirect effect of model attractiveness. Therefore, online fashion shopping malls need to concentrate on improving the aesthetics of the shopping malls. For fashion shopping malls that do not have the capacity to improve the aesthetics, it is possible to improve ATO by using highly attractive models.

This study applied the concept of retail therapy to the online environment and verified the effect. This study expanded the scope of the study of retail therapy by examining the effect of mood improvement on ATO as well. Further, this study examined the structure of two online retail therapy factors, aesthetics and model attractiveness, that affect ATO through PMR and NMR, and suggested managerial implications for online shopping malls.