bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dementia education and training for caregivers supporting older people with intellectual disability: a scoping review of the literature
Authors: Acton Daniel James , Jaydeokar Sujeet , Jones Steven 
Published: May 2023

PurposeEducation 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.Design/methodology/approachA 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.FindingsA 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.Originality/valueThis 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.
Research on online shopping contextual cues: refining classification from text mining
Authors: Wang Lin , Gao Huaxia , Zhao Yang 
Published: May 2023

PurposeContextual cues have become a hot research topic in the field of mobile consumer behavior, owing to the continuous rise of digital marketing. However, the complex online shopping scene makes it challenging to directly identify the association between the characteristics of contextual cues and consumer behavior. Presently, few studies have only systematically extracted and refined the types and characteristics of contextual cues. The purpose of this study is to explore the types and mechanisms of contextual cues in online shopping scenarios.Design/methodology/approachThis study uses the word2vec algorithm, grounded theory and co-occurrence cluster method, along with online shopping word-of-mouth (WOM) text and consumer behavior theory, in order to explore different types of contextual cues and its efficiency from 5,619 comment corpus.FindingsThis study puts forward the following conclusions. (1) From the perspective of online shopping, contextual cues comprise aesthetic perception cues, value perception cues, trust-dependent cues, time perception cues, memory attention cues, spatial perception cues, attribute cues and relationship cues. (2) Based on the online shopping scenarios, contextual cues and their interaction effects exert an effect on consumer satisfaction, recommendation, purchase and return behavior.Originality/valueThe study conclusions are helpful to further reveal the deep association between contextual cues and consumer behavior in the process of online shopping, thus providing practical and theoretical enlightenment for enterprises to not only effectively reshape the scene but also promote the consumers' active purchase behavior.
Some properties of generalized greyness of interval grey number
Authors: Li Li , Li Xican 
Published: May 2023

PurposeIn order to make full use of the generalized greyness of interval grey number, this paper analyzes the properties and its applications of generalized greyness.Design/methodology/approachFirstly, the static properties of generalized greyness in bounded background domain, infinite background domain and infinitesimal background domain are analyzed. Then, this paper gives the dynamic properties of generalized greyness in bounded background domain, infinite background domain and infinitesimal background domain and explains the dialectical principle contained in it. Finally, the generalized greyness is used to judge the effectiveness of interval grey number transformation.FindingsThe results show that the generalized greyness of interval grey number has relativity, normativity, unity, eternity and conservation. The static and dynamic properties of generalized greyness are the same in the infinite and infinitesimal background domain, while they are different in the bounded background domain. The generalized greyness can be used as an index to judge whether the grey number transformation is greyness or information preservation.Practical implicationsThe research shows that the generalized greyness can be used as an index to judge the validity of the grey number transformation and also can be applied in grey evaluation, grey decision-making and grey prediction and so on.Originality/valueThe paper succeeds in realizing the mathematical principle of “white is black”, the “greyness clock-slow effect” of the value domain of interval grey number and the generalized greyness conservation principle, which provides a theoretical basis for the rational use of generalized greyness of interval grey number.
Readiness for agile-sustainability in health-care organizations
Authors: Thomas Albi , Suresh M. 
Published: May 2023

Purpose
This study aims to identify the agile-sustainability readiness factors and analyze them in the context of health-care organization. In this study, agile-sustainability refers to “adapt to the changing environment and respond quickly by maximum using the resources as well as supporting the three pillars of sustainability”.

Design/methodology/approach
The “total interpretive structural modelling” (TISM) is used to examine the interrelationships of the identified readiness factors, and to classify the identified readiness factors based on its power to drive and depend on other factors, “Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis” was used.

Findings
This study used a “literature review and experts’ opinion” to identify ten agile-sustainability preparedness characteristics. Organizational leadership, multi-skilled and multi-knowledgeable employees and decision-making autonomy were identified as critical elements in this study.

Research limitations/implications
The research focuses primarily on readiness for agile-sustainability in health-care sector.

Practical implications
This research aids health-care administrators and managers in their decision-making. This study suggests that the evaluation of the readiness factors would promote in raising service standards, ensuring an agile and sustainable health-care operations. The readiness elements that support effective implementation of agile-sustainability in health care require a higher priority from health-care management.

Originality/value
This study created a structural model for health-care organizations based on the TISM-based preparedness for agile-sustainability framework, which is a novel effort for adopting agile-sustainability in health care.
Digital transformation of supply chain management in retail and e-commerce
Authors: Gong Shuanglei 
Published: May 2023

PurposeThe purpose of studying digitization transformation of the supply chain is to understand how digital technologies and processes are changing the way supply chains operate and to identify the opportunities and challenges associated with this transformation. Studying digitization transformation of the supply chain is important because it can help global businesses in identifying the best practices in supply chain management (SCM) systems and enhance supply chain performance. Hence, this research study is contributing in revealing the outcomes of digital inclusiveness in overall SCM for the growth of retail and e-commerce based platforms.Design/methodology/approachThis research is using both descriptive and explanatory research designs to provide a comprehensive understanding of the problems in SCM. Descriptive research provides a detailed description of the characteristics of the population under study, while explanatory research identifies the causal relationships between the variables. Descriptive research has helped us to develop hypotheses about the relationships between variables that can be tested using explanatory research. Explanatory research has been used to validate the findings of descriptive research. By using both descriptive and explanatory research designs, our research design has increased the generalizability of our findings.FindingsAccording to this study, businesses intend to change their supply chain strategies after the wake of competitive era to make them more robust, sustainable and collaborative with suppliers, customers and stakeholders by investing more in SCM technology like Blockchain, AI, analytics, robotic process automation and data control centers. This study evaluates the impact of digitization on supply chain systems. This includes assessing the benefits of digitization and identifying the factors that contribute to successful implementation. This research is studying the role of data analytics in SCM and how it can be leveraged to improve efficiency, reduce costs and increase transparency.Research limitations/implicationsThe study highlights the importance of adopting digitization in supply chain systems to improve supply chain robustness, sustainability and collaboration with stakeholders. This study's emphasis on data analytics in SCM presents an opportunity for businesses to gain insights into their supply chain systems and make data-driven decisions. This can enhance efficiency, reduce costs and improve overall supply chain performance. The study's focus on SCM technology and data analytics may overlook other factors that contribute to successful SCM, such as organizational culture, human resources and supply chain governance.Originality/valueThis study will complement to the existing body of information, management theory and practice and will benefit all. The research work is original and can be implemented worldwide to promote digitization in SCM for smooth transactions in the entire chain of wholesalers, retail distributors and customers.
A solution for finite journal bearings by using physics-informed neural networks with both soft and hard constrains
Authors: Xi Yinhu , Deng Jinhui , Li Yiling 
Published: May 2023

Purpose
The purpose of this study is to solve the Reynolds equation for finite journal bearings by using the physics-informed neural networks (PINNs) method. As a meshless method, it is unnecessary to use big data to train the neural networks, but to satisfy the Reynolds equation and the corresponding boundary conditions by using the known physics information.

Design/methodology/approach
Here, the boundary conditions are enforced through the loss function firstly, i.e. the soft constrain method. After this, an equation was constructed to build a surrogate model for satisfying the corresponding boundary conditions naturally, i.e. the hard constrain method.

Findings
For the soft one, in brief, the pressure results agree well with existing results, apart from the ones on the boundaries. While for the hard one, it can be noted that the discrepancies on the boundaries are reduced significantly.

Originality/value
The PINNs method is used to solve the Reynolds equation for finite journal bearings, and the error values on the boundaries for the results of the soft constrain method are improved by using the hard constrain method. Therefore, the hard constraint maybe also a good option when the pressure results on the boundaries are emphasized.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2023-0045/
Product placement versus traditional TV commercials: new insights on their impacts on brand recall and purchase intention
Authors: Gamage Dulanjana , Jayasuriya Nisha , Rathnayake Nilmini , Herath Kithmini Minoma , Jayawardena Diunugalge Peshala Seuvandi , Senarath Diluksha Yasith 
Published: May 2023

Purpose
The purpose of this paper is to compare the effect of marketing communication techniques concerning product placement and TV commercials on brand recall and the purchase intention of consumers.

Design/methodology/approach
A sample of 420 participants randomly assigned to one of the four scenarios of an experiment watched a selected episode of a Sri Lankan TV show that consisted of commercial breaks. Then, their recall and purchase intention toward the advertised/placed brand were measured using a questionnaire and binary logistic regression was the analytical tool.

Findings
This research indicated that a combination of product placement and TV commercials forms the highest impact on both brand recall and purchase intention. The next highest impact is created solely by product placement, while sole TV commercials make the lowest impact comparatively.

Practical implications
This study is beneficial to brands and entrepreneurs looking for the most effective marketing communication methods to promote their brands and products to consumers.

Originality/value
As an initial study performed on a comparison between two commonly used marketing communication techniques, i.e. product placement and TV commercials, in the Sri Lankan context would also enrich the global marketing literature on the comparative effectiveness of both techniques, where studies are limited so far.
Improving quantity surveying education through continually updating curriculum digitalisation to meet industry requirements
Authors: Ebekozien Andrew , Aigbavboa Clinton Ohis 
Published: May 2023

Purpose
The dynamic nature of the built environment and trending smart construction project complexities demand proactive needs tailored towards architecture, engineering and construction (AEC) education. It is a task for the built environment professionals (BEP) to prepare for the future, including the quantity surveying (QS) profession. Studies are scarce in preparing QS education from Nigeria’s stakeholders’ perspective regarding digital technology. Therefore, this paper aims to investigate how to improve QS education by continually updating curriculum digitalisation to meet the construction industry requirements.

Design/methodology/approach
Data were sourced from elite virtual interviews across Nigeria. A total of 40 key stakeholders knowledgeable in QS education, advocating a future template for the advancement of QS education in higher institutions, were engaged, and saturation was achieved.

Findings
Findings show that improving QS education through continually updating curriculum digitalisation to meet industry requirements cannot be over-emphasised in the 21st-century-built environment industry. The outcomes of the results led to the conclusion that the current QS education curriculum was not meeting the expectations of other BEP stakeholders. Thus, for competitiveness in the future, the QS education curriculum needs to infuse more related-digital technology modules/courses to assist in the sustainability and relevance of the profession within the BEP.

Research limitations/implications
This paper focussed on improving Nigeria’s QS education using digital technologies via a qualitative approach. Future study is needed via a quantitative approach for broader coverage and validation.

Practical implications
The research revealed the need for designing QS programmes to provide for industry demands with emphasis on digital technologies modules/courses. Nigeria’s QS education stakeholders have been stirred up to embrace the curriculum review and make the profession digitalised and relevant within the BEP. The built environment sector is trending towards digitalisation, and the QS programmes cannot afford to be behind.

Originality/value
This research identified the current gap regarding digitalisation of the curriculum. This study will stir QS educational providers and regulators to improve future programmes via digital technologies. It would encourage the use of digital technologies with the right enabling environment. The outcome would mitigate the gap and improve Nigeria’s QS education in the future.
Smart mobile tourism app featuring augmented reality and big data analytics: an empirical analysis using UTAUT2 and PCT models
Authors: Sia Phoebe Yueng-Hee , Saidin Siti Salina , Iskandar Yulita Hanum P. 
Published: May 2023

Purpose
Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA.

Design/methodology/approach
Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0.

Findings
Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA.

Originality/value
The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.
Engaging the missing actor: lessons learned from an age-management intervention targeting line managers and their HR partners
Authors: Jonsson Robin , Nilsson Kerstin , Björk Lisa , Lindegård Agneta 
Published: May 2023

Purpose
This study aims to describe and evaluate the impact of a participatory age-management intervention on the knowledge, awareness and engagement of line managers and their HR partners from six health-care organizations in Sweden.

Design/methodology/approach
The learning workshops consisted of lectures, discussions, feedback and exchange of experiences with colleagues and invited experts. A total of 19 participants were interviewed six months after the final workshop, and qualitative thematic analysis was used to analyze the transcribed interviews.

Findings
The intervention design produced promising results in improving line managers’ and HR partners’ knowledge and increasing awareness and engagement. On some occasions, the participants also initiated changes in organizational policies and practices. However, the intervention primarily became a personal learning experience as participants lacked resources and mandates to initiate change in their daily work. To stimulate engagement and change at the organizational level, the authors believe that an intervention must receive support from higher managers, be anchored at the workplace and be aligned with the organization’s goals; moreover, participants must be provided with sufficient resources and mandates to coordinate the implementation of age-management strategies.

Practical implications
Prolonged working life policies and skill shortages are affecting organizations and societies, and for many employers, there are strong reasons for developing strategies to attract, recruit and retain older workers.

Originality/value
This study offers lessons and guidance for future workplace interventions to attract, recruit and retain older workers.
Including local actors' perspective in neighborhood sustainability assessment: evidence from Dubai's sustainable city
Authors: Dessouky Nermin , Wheeler Stephen , Salama Ashraf M. 
Published: May 2023

PurposeExisting Neighborhood Sustainability Assessment (NSA) tools such as “Leadership for Energy and Environmental Design - Neighborhood Development” (LEED-ND) and “Building Research Establishment Environmental Assessment Method” (BREEAM Communities) are widely criticized for a lack of transparency in the selection of indicators and an unbalanced focus on specific sustainability dimensions.Design/methodology/approachThis paper asks how the expectations and use values of the professionals and residents involved in developing, designing, managing and living in a sustainable neighborhood can shape sustainability indicators that affect progress towards project goals. Taking as its focus The Sustainable City (TSC), a neighborhood in Dubai, United Arab Emirates (UAE), the paper develops data from in-depth, go-along interviews with 46 different actors.FindingsFindings indicate that when given the opportunity to express their opinion, many actors will prioritize metrics different than the metrics dictated to the by sustainability experts and international rating systems. The findings suggest that NSA tools should place greater emphasis on local factors, public engagement and operational concerns.Practical implicationsThe paper provides a method that any community can replicate to better understand the different use values of local actors and establish its own NSA tool. This can help experts learn how design, management and operational decisions interact to impact different dimensions of performance.Originality/valueThis paper recognizes sustainable neighborhoods as spaces with multiple identities. Hence, the indicators used to evaluate these neighborhoods need to be based on the expectations and use values of different actors. This paper proposes using the priorities of different local actors to reshape how these neighborhoods are assessed.
Private Equity and Local Public Finances
Authors: OLBERT MARCEL , SEVERIN PETER H. 
Published: May 2023

ABSTRACTWe study the economic impact of private equity (PE) investments on local governments, which are important corporate stakeholders. Examining over 11,000 deals and private firm data in Europe, we document that target firms' effective tax rates and total tax expenses decrease by 15% and 13% after PE deals. At the same time, target firms expand their capital expenditures and firm boundaries, but do not increase employment. Using administrative data on the public finances of German municipalities and exploiting the geographical and time‐series variation in PE deals, we document that PE activity is negatively associated with local governments' tax revenues and spending. This result is likely driven by reduced tax payments of PE portfolio firms, accompanied by only modest positive spillovers of PE investments on regional economic growth. Collectively, our findings suggest that corporate tax efficiency serves as a cost‐cutting channel in the PE sector and constrains the finances of local governments.