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1 – 10 of 17Erik Winell, Jonas Nilsson and Erik Lundberg
This study aims to examine and compare the influence of the disposition to engage in engagement behaviors on physical and virtual engagement platforms, as well as the influence of…
Abstract
Purpose
This study aims to examine and compare the influence of the disposition to engage in engagement behaviors on physical and virtual engagement platforms, as well as the influence of these engagement behaviors on brand loyalty, value-in-use and word-of-mouth.
Design/methodology/approach
Data were collected using a survey distributed to a random sample of 10,000 fans of five teams in the Swedish top-division of elite football. An exploratory factor analysis was performed to derive a distinction between prevalent platforms, scales were validated through a confirmatory factor analysis and structural equation modeling was used to test the research model.
Findings
Customer disposition to engage with the sports team had a significant influence on customer engagement behaviors on both physical and virtual engagement platforms. However, engagement behaviors on virtual platforms were found to be more important than engagement behaviors on physical platforms for fostering brand loyalty and value-in-use.
Practical implications
The results highlight the importance of engagement behaviors with a brand on virtual engagement platforms. Thus, brand managers should prioritize their presence on social media to generate the positive outcomes of customer engagement behaviors.
Originality/value
By examining the effects of customer engagement behaviors on both physical and virtual engagement platforms, this study provides new insights to the emerging customer engagement literature.
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Shen-cheng Wang, Kin-sun Chan and Ke-qing Han
Aiding employment is an important poverty reduction strategy in many countries’ social welfare systems, as this strategy can help empower the recipients with a better living…
Abstract
Purpose
Aiding employment is an important poverty reduction strategy in many countries’ social welfare systems, as this strategy can help empower the recipients with a better living standard, development and social inclusion. The purpose of this paper is to identify the most significant individual and systematic variables for the employment status of low-income groups in urban China.
Design/methodology/approach
The data of this study are drawn from “Social Policy Support System for Poverty-stricken Families in Urban and Rural China 2015” report. The Ministry of Civil Affairs of the People’s Republic of China appointed and funded the Institute of Social Science Survey (ISSS) at Peking University to deliver the related project and organize a research team to write the report. Multiple binary logistic regression analysis is adopted to identify both individual and systematic factors that affect the employment status among low-income groups in urban China.
Findings
According to the results of the binary logistic regression model, individual factors, including: gender; householder status; education; and self-rated health status, play a significant role in determining the employment status of low-income groups in urban China. Clearly, the impacts of individual factors are more influential to marginal families than to families entitled to receive Basic Living Allowance. In contrast, compared with marginal families, systematic factors are more influential to families entitled to receive Basic Living Allowance.
Originality/value
This study highlights the importance of precise poverty reduction strategy and the issue of “welfare dependence” among low-income groups in urban China. Policy recommendations derived from the findings are hence given, including: the promotion of family-friendly policies; the introduction of a smart healthcare system; the establishment of a Basic Living Allowance adjustment mechanism; and the provision of related social services.
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Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Yasanur Kayikci and Mohammad Iranmanesh
The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The…
Abstract
Purpose
The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984.
Design/methodology/approach
A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP.
Findings
Findings reveal that PP research from Scopus has significantly increased in the past decade. Major journals publishing PP research are International Journal of Procurement Management, Journal of Cleaner Production, Journal of Purchasing and Supply Management and Public Money and Management. Results also indicate that authors’ cooperation network is fragmented, showing limited collaboration among PP researchers. In addition, results suggest that the institutional collaboration network in PP research mirrors what is commonly referred to as the North–South divide, signifying insufficient research collaboration between developed and developing countries’ institutions. According to the co-occurrence keyword network and topic modelling, PP revolves around five main themes, including innovation, corruption, sustainable and green PP, PP contracts and small and medium enterprises. Based on these results, several directions for future research are suggested.
Social implications
This paper provides an increased understanding of the entire PP field and the potential research directions.
Originality/value
To the best of the authors’ knowledge, this study is the first-ever application of bibliometric techniques and topic modelling to examine the development of PP research since 1984 based on scholarly publications extracted from the Scopus database.
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