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Education and training is vital in improving age-related care provisions. However, a lack of awareness and understanding of dementia could be a factor in meeting the age-related needs of people. This paper aims to examine the impact dementia education has on caregivers’ confidence to provide person-centred care for people with intellectual disability and identifies additional training needs.

A systematic scoping review was completed using preferred reporting items for systematic reviews and meta-analyses to guide the process of mapping existing evidence of dementia education and training programmes available to caregivers of people with intellectual disability.

A search of five electronic databases identified 11 articles that reported on the role of dementia education in improving the knowledge of caregivers in effectively delivering the age-related care. Findings suggest that improved training provision is needed to support early diagnosis and increase caregivers’ confidence in meeting the physical and psychological needs of older adults with intellectual disability.

This review contributes to the literature by identifying the value of and need for continued development in dementia education and training to improve person-centred dementia care.

This paper investigates the dynamics between state affect and trusting cognitive beliefs on post-adoptive information technology (IT) use behaviors in the form of intention to explore and deep structure usage. That state affect can influence behaviors is recognized in practice. In fact, some studies examine the impact of affective constructs, but the way state affect impacts how individuals use IT remains largely unexplored. The authors theorize that state affect, in the form of positive and negative affect, will influence trusting cognitive beliefs regarding an IT artifact (in terms of perceived helpfulness, capability and reliability) and, more importantly, directly influence intention to explore and deep structure usage.

The authors test the model using a sample of 357 IT users. Survey items were derived from established measures, and the data were analyzed using structural equation modeling.

Results of this study suggest that positive affect and negative affect impact trusting cognitive beliefs. Trusting cognitive beliefs positively impact intention to explore with an IT and deep structure usage of an IT. Even in the presence of trusting beliefs, though, positive affect directly impacts intention to explore. Positive affect and negative affect both also have various indirect, mediated effects on intention to explore and deep structure usage.

In order to maximize value from workplace IT, the results suggest managers foster an authentic, positive work environment in order to harness or redirect employees' emotional energies.

The authors of this study aim to investigate possible explanations of the prevalence of price clustering in the final offer prices of mergers and acquisitions (M&A).

The authors use final offer price in M&A deals to investigate the price clustering phenomena. The authors used regressions and logistic regressions to examine potential factors that might affect pricing strategy by looking into one-time acquirers and experienced serial acquirers.

Price clustering increases with negotiation uncertainties characterized as competitive bidding, number of bidders, challenged deals and duration. Moreover, the authors find persistent price clustering in experienced serial acquirers that are more experienced and better equipped with handling uncertainties, suggesting a preference of using round numbers regardless of levels of uncertainties. The authors' evidence shows that price clustering results from a combination of Harris' (1991) costly negotiation hypothesis where round prices may be used to lower search costs and psychological bias and preference.

The authors appear to be the first to investigate alternative theories that support M&A offer price clustering behavior, finding that both the costly negotiation and psychological bias and preference theories apply to M&A final price formation. Thus, the authors' major contribution, specific to the M&A process, is a clarification of physical and psychological factors associated with bidding and negotiation behavior. The authors are confident that the authors' study impacts conventional knowledge regarding M&A deal negotiation strategies, including bidding behavior, contract negotiation, financial analysis, management practices and risk management.

This paper aims to explore the effectiveness of ethnically targeted ads in developing consumer–brand relationships through an application of social identification theory and elaboration likelihood model among African American consumers in the service sector.

Study 1 used a 2 (service type: hedonic vs utilitarian) × 2 (strength of ethnic identification: high vs low) between-subjects experimental design. Study 2 used the same experimental design, procedure and ads as Study 1.

Taken together, the findings from these two studies demonstrate how ethnically targeted advertising, in conjunction with service type, can influence consumer–brand relationships. The results showed that those with high strength of ethnic identification had more brand love, as well as higher intentions to spread positive word-of-mouth, purchase intention and brand loyalty for hedonic services, but that this effect was not significant for utilitarian services.

The environments in which advertisements appear (e.g. in an in-store display or a magazine advertisement) is important, and consumers’ reactions to targeted ads in various environments should be considered in future research. Future studies should also examine the role of individuals’ personality traits and level of acculturation in determining their relationships with brands.

Across two studies, the authors demonstrated that ethnic ads are more effective for African American individuals with high level of ethnic identification especially for hedonic services.

This research paper aims to investigate the effects of internal audit’s (IA) use of data analytics and the performance of consulting activities on perceived IA quality.

The authors conduct a 2 × 2 between-subjects experiment among upper and middle managers where the use of data analytics and the performance of consulting activities by internal auditors are manipulated.

Results highlight the importance of internal auditor use of data analytics and performance of consulting activities to improve perceived IA quality. First, managers perceive internal auditors as more competent when the auditors use data analytics. Second, managers perceive internal auditors’ recommendations as more relevant when the auditors perform consulting activities. Finally, managers perceive an improvement in the quality of relationships with internal auditors when auditors perform consulting activities, which is strengthened when internal auditors combine the use of data analytics and the performance of consulting activities.

From a theoretical perspective, this research builds on the IA quality framework by considering digitalization as a contextual factor. This research focused on the perceptions of one major stakeholder of the IA function: senior management. Future research should investigate the perceptions of other stakeholders and other contextual factors.

This research suggests that internal auditors should prioritize the development of the consulting role in their function and develop their digital expertise, especially expertise in data analytics, to improve perceived IA quality.

This research tests the impacts of the use of data analytics and the performance of consulting activities on perceived IA quality holistically, by testing Trotman and Duncan’s (2018) framework using an experiment.

This study aims to explore the implications of a recent case in spring 2022 where the novel Dracula went “viral” as tens of thousands of Tumblr users participated in a serialized re-reading and discussion of the text through the hashtags #dracula and #dracula daily.

The authors use a mixed-methods sequential explanatory design approach (quant: topic modeling; qual: multimodal content analysis) to examine how users describe their own practices as well as top posts (more than 25,000 likes, comments and reblogs) in the first month of the collective reading of the novel.

The authors found that the serialization of Dracula made space for “wandering reading practices” (Chavez, 2010) relevant to this interpretive community on Tumblr. The quantitative methods determined specific affective, intertextual and serialized aspects of textual play that were salient to readers. In top posts themselves, the authors saw readers creating metaleptic content imagining characters like the protagonist Jonathan in other novels or contexts, as well as processing and playing with their collective emotional responses toward characters. Additionally, readers used irony or satire through multimodal compositions to create literary arguments.

Playfully analyzing literature together through intertextual connections and multimodal memes has the potential to be both emotionally resonant, culturally relevant and supportive of literary interpretive practices. Based on these findings, the authors provide suggestions for teachers working to embrace interpretive play in formal learning spaces.

The intention of the empirics is to contribute to the general understanding of investor responses to market price shocks. The authors review assumptions about investor behavior in response to price shocks and investigate alternative rebalancing heuristics.

The authors use market data over 40 years to define market shocks. Portfolio rebalancing implements constrained Markowitz mean-variance (MV) heuristics.

Momentum rebalancing in portfolio management outperforms contrarian rebalancing in the study interval. Sensitivity analysis by decade, sector constraints and proportion of security holdings bought or sold continue to support momentum rebalancing.

The results are consistent with under-responding to price shocks at consensus levels in financial markets. The theoretical background provides a basis for experimental lab studies of shocks of different magnitudes under conditions in which participants have information on the levels of other participants and a condition in which they can only observe their previous estimates.

Managing portfolios in the face of price disturbances of different magnitudes is informed by empirical studies and their implications for investor behavior.

This is the first study the authors can locate that uses market data with alternative rebalancing heuristics to estimate price returns from the respective heuristics over a time interval of 40 years. The authors support the results with sensitivity estimates and consider implications for the underlying agent heuristics in light of background studies.

The current environment is unhelpful to female entrepreneurs, and they need to overcome numerous barriers when starting their own businesses. In this study, the researchers investigated the significant barriers that Pakistani female entrepreneurs require to overcome in this respect.

In this study, the researchers used a quantitative study and they used a questionnaire to survey the respondents and collect cross-sectional data. The researchers targeted female students who were undertaking bachelor’s and master’s degree programs in different Pakistani public and private sector universities. Accordingly, the researchers based this study’s findings on the usable samples received from 498 Pakistani female students.

The researchers used a structural equation model (SEM) in this study and its findings highlight that aversion to risk (ATR) has an insignificant impact on entrepreneurial inclinations (EI). In addition, fear of failure (FoF), lack of resources (LoR), aversion to hard work and stress (ASH) and the lack of social networking (LSN) have negative and insignificant effects on EI. The ATR factor has an insignificant effect on entrepreneurial success (ES), whereas FoF, LoR, ASH and LSN are negative and insignificant predictors of Pakistani female students’ ES.

This study’s findings may help Pakistani women to overcome the barriers to ES. In this respect, the researchers recommend that the Pakistan Government and policymakers develop significant strategies to provide the conducive business environment and to financially support Pakistani women to start their own businesses. Furthermore, this study’s findings contribute greatly to the vast amount of current literature and help to overcome the entrepreneurial conditions and barriers that potential entrepreneurs from advanced and developing countries experience frequently.

This study’s findings provide empirical evidence of EI and ES in Pakistan.

In this paper, the authors investigate whether coronavirus disease 2019 (COVID-19) impacts household finances, like household debt repayments in the UK.

This paper employs a vector autoregressive (VAR) model that nests neural networks and uses Mixed Data Sampling (MIDAS) techniques. The authors use data information related to COVID-19, financial markets and household finances.

The authors' results show that household debt repayments' response to the first principal component of COVID-19 shocks is negative, albeit of low magnitude. However, when the authors employ specific COVID-19-related data like vaccines and tests the responses are positive, insinuating the underlying dynamic complexities. Overall, confirmed deaths and hospitalisations negatively affect household debt repayments. The authors also report low persistence in household debt repayments. Generalised impulse response functions (IRFs) confirm the main results. As draconian measures, the lockdowns are eased and the COVID-19 shocks are diminishing, and household financial data converge to the levels prior to the pandemic albeit with some lags.

To the best of the authors' knowledge, this is the first study that examines the impact of the pandemic on household debt repayments. The authors' findings show that policy response in the future should prioritise innovation of new vaccines and testing.