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Article
Publication date: 31 December 2020

Mohammad Rababa, Ammar M. Hammouri and Sami Al-Rawashdeh

This study aims to examine the association between nurses’ ageism and their knowledge about aging and socio-demographic and professional characteristics in recent international…

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Abstract

Purpose

This study aims to examine the association between nurses’ ageism and their knowledge about aging and socio-demographic and professional characteristics in recent international nursing research studies.

Design/methodology/approach

An extensive search of seven databases covering papers since 2000 was undertaken and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed.

Findings

Ageism among nurses is still poorly understood. It is evident that ageism is associated with poor nurses’ level of knowledge about aging. A range of nurses’ demographical and professional characteristics have been examined as potential predictors of ageism, but they were inconsistent with positive, negative and neutral associations.

Originality/value

There is a lack of robustly designed studies investigating the association of nurses’ level of knowledge about aging and their socio-demographical and professional characteristics to ageism. Future descriptive-correlational and interventional studies are recommended to understand and target ageism in health-care settings.

Details

Working with Older People, vol. 25 no. 1
Type: Research Article
ISSN: 1366-3666

Keywords

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Article
Publication date: 15 August 2024

Suman Kumar Deb, Ruchi Jain, Sanjiv Marwah and Varsha Deb

The purpose of this paper is to examine the effect of mobile customer relationship management (mCRM), service innovation (SI) and word of mouth (WOM) on the investment decisions…

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Abstract

Purpose

The purpose of this paper is to examine the effect of mobile customer relationship management (mCRM), service innovation (SI) and word of mouth (WOM) on the investment decisions (IDs) of mutual fund investors.

Design/methodology/approach

This paper presents a new model for impacting the IDs of mutual fund investors. To verify the suggested model, Partial Least Squares with Structural Equation Modelling are used. For analysis, a survey questionnaire is designed, and data inputs were invited from more than 400 online mutual fund investors in Delhi NCR.

Findings

The outcomes reveal that the ID of mutual fund investors is significantly influenced by WOM. WOM, in turn, is significantly impacted by mCRM applications through SI playing a mediating role.

Research limitations/implications

The limitation with reference to survey respondents was that only online mutual fund investors using mCRM applications were considered. Moreover, this study was conducted in Delhi NRC, and a limited sample was considered.

Practical implications

The result from this research helps the financial organisation to consider SI in their mCRM application as one of the main concerned areas for increased WOM that directly influences the ID of mutual fund investors.

Originality/value

This study highlighted the impact of SI and WOM on the mutual fund investors’ decision, who use mCRM application. The outcome may contribute to the theoretical framework of IDs concerning mCRM applications. The results of this research offer practical implications for financial organisations in strategising their marketing and product development plans in the context of mutual funds. Also, the mutual fund ID through mCRM application is positively influenced by SI and WOM using both constructs as sequential mediating tools. This research offers new insights into mCRM application for mutual fund investors and financial organisations in India.

Details

Journal of Science and Technology Policy Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4620

Keywords

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