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Article
Publication date: 24 November 2023

Kristina K. Lindsey-Hall, Eric J. Michel, Sven Kepes, Ji (Miracle) Qi, Laurence G. Weinzimmer, Anthony R. Wheeler and Matthew R. Leon

The purpose of this manuscript is to provide a step-by-step primer on systematic and meta-analytic reviews across the service field, to systematically analyze the quality of…

Abstract

Purpose

The purpose of this manuscript is to provide a step-by-step primer on systematic and meta-analytic reviews across the service field, to systematically analyze the quality of meta-analytic reporting in the service domain, to provide detailed protocols authors may follow when conducting and reporting these analyses and to offer recommendations for future service meta-analyses.

Design/methodology/approach

Eligible frontline service-related meta-analyses published through May 2021 were identified for inclusion (k = 33) through a systematic search of Academic Search Complete, PsycINFO, Business Source Complete, Web of Science, Google Scholar and specific service journals using search terms related to service and meta-analyses.

Findings

An analysis of the existing meta-analyses within the service field, while often providing high-quality results, revealed that the quality of the reporting can be improved in several ways to enhance the replicability of published meta-analyses in the service domain.

Practical implications

This research employs a question-and-answer approach to provide a substantive guide for both properly conducting and properly reporting high-quality meta-analytic research in the service field for scholars at various levels of experience.

Originality/value

This work aggregates best practices from diverse disciplines to create a comprehensive checklist of protocols for conducting and reporting high-quality service meta-analyses while providing additional resources for further exploration.

Article
Publication date: 24 January 2023

Hossein Motahari-Nezhad

No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the…

Abstract

Purpose

No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the impact of various factors on publication bias in meta-analyses.

Design/methodology/approach

An electronic questionnaire was created according to some factors extracted from the Cochrane Handbook and AMSTAR-2 tool to identify factors affecting publication bias. Twelve experts were consulted to determine their opinion on the importance of each factor. Each component was evaluated based on its content validity ratio (CVR). In total, 616 meta-analyses comprising 1893 outcomes from PubMed that assessed the presence of publication bias in their reported outcomes were randomly selected to extract their data. The multilayer perceptron (MLP) technique was used in IBM SPSS Modeler 18.0 to construct a prediction model. 70, 15 and 15% of the data were used for the model's training, testing and validation partitions.

Findings

There was a publication bias in 968 (51.14%) outcomes. The established model had an accuracy rate of 86.1%, and all pre-selected nine variables were included in the model. The results showed that the number of databases searched was the most important predictive variable (0.26), followed by the number of searches in the grey literature (0.24), search in Medline (0.17) and advanced search with numerous operators (0.13).

Practical implications

The results of this study can help clinical researchers minimize publication bias in their studies, leading to improved evidence-based medicine.

Originality/value

To the best of the author’s knowledge, this is the first study to model publication bias using machine learning.

Details

Aslib Journal of Information Management, vol. 76 no. 2
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 9 January 2024

Coky Fauzi Alfi, Maslinawati Mohamad and Khaled Hussainey

This study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.

Abstract

Purpose

This study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.

Design/methodology/approach

The results of 22 empirical investigations on the association between board qualities and carbon emission disclosure are synthesised using a meta-analysis approach. Inclusion and exclusion criteria are established, and search strategies are devised to locate relevant material. Data extraction entails gathering important information such as the names of the authors, variables and correlation coefficients. Fisher's z-transformation is used to compute and synthesise effect sizes and assumptions, sensitivity testing and subgroup analysis are performed to assess the robustness of the findings.

Findings

A substantial association was discovered between board characteristics and carbon emission disclosure. Board independence and gender diversity revealed small to medium-strength positive relationships, whilst board size had a medium-strength positive correlation. The study periods varied from 2011 to 2022, with 2018 having the most studies. However, highly heterogeneous groups were discovered; further subgroup analyses were then carried out to sort out this issue.

Research limitations/implications

Several limitations were recognised due to the limited number of studies and heterogeneity, although subgroup analysis was used to reduce the influence of heterogeneity. To investigate alternate outcomes, more analysis of the heterogeneity level and potential modifications to the model assumptions may be required.

Practical implications

Companies should consider board size, independence and gender diversity when formulating long-term competitive strategies in the climate change movement. These characteristics can aid in bridging information gaps and garnering stakeholder support for carbon-reduction initiatives.

Originality/value

This meta-analysis addresses a gap in the literature by addressing prior studies' conflicting and inconsistent findings on the association between board characteristics and carbon emission disclosure. It employs a rigorous approach and synthesis strategy to provide a thorough and robust understanding of the crucial role of board characteristics in carbon emission disclosure.

Details

Journal of Accounting Literature, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-4607

Keywords

Article
Publication date: 9 February 2024

Irfan Ali and Nosheen Fatima Warraich

The purpose of this paper is to measure the relationship of technology acceptance model (TAM) variables (PEOU and PU) with behavioral intention (BI) and attitude in mobile and…

Abstract

Purpose

The purpose of this paper is to measure the relationship of technology acceptance model (TAM) variables (PEOU and PU) with behavioral intention (BI) and attitude in mobile and digital libraries context. This study also examines the relationship of external variables (information quality and system quality) with TAM variables (PEOU and PU) in mobile and digital libraries context.

Design/methodology/approach

This meta-analysis was performed through PRISMA-P guidelines. Four databases (Google Scholar, Web of Science, Scopus and LISTA) were used for searching, and the search was conducted according to defined criteria.

Findings

Findings of this study revealed a large effect size of PU and PEOU with BI. There was also a large effect size of PU and PEOU with attitude. A medium effect size was found between SysQ → PU, InfoQ → PU and SysQ → PEOU. However, there was a small effect size between InfoQ and PEOU.

Originality/value

To the best of the authors’ knowledge, there was no study published till the time of conducting this meta-analysis. Hence, this study fills the literature gap. This study also confirms that TAM is a valid model in the acceptance and use of technology in mobile and digital libraries context. Thus, the findings of the present study are helpful for developers and designers in designing and developing mobile library apps. It will also be beneficial for library authorities and system librarians in designing and developing digital libraries in academic settings.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 19 August 2022

Yassine Jadil, Anand Jeyaraj, Yogesh K. Dwivedi, Nripendra P. Rana and Prianka Sarker

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical…

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Abstract

Purpose

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.

Design/methodology/approach

Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.

Findings

The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.

Originality/value

This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.

Details

Internet Research, vol. 33 no. 6
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 28 March 2024

Sihang Zhang, Xiaojun Ma, Huifen Xu and Jijian Lu

This paper seeks to investigate the differences in the teachers’ professional development (TPD) by mentorship in workplace. The authors examined the role of mentorship in the PD…

Abstract

Purpose

This paper seeks to investigate the differences in the teachers’ professional development (TPD) by mentorship in workplace. The authors examined the role of mentorship in the PD of teachers and conducted a meta-analysis of pertinent empirical data.

Design/methodology/approach

Using data from over 2,900 individuals, 66 experiments and 12 countries, the authors presented a meta-analysis of the association between workplace mentorship and TPD.

Findings

The authors concluded that mentoring activities could boost the TPD to some extent. It contributes positively to the discipline of science and language, kindergarten, individual mentoring and curriculum research. In addition, the periodicity should not exceed 1 year.

Research limitations/implications

The results of the meta-analysis are restricted to short-term mentorship activities, and the sample size is modest. Building upon the findings from the literature review and meta-analysis, the authors delineated a research agenda for prospective investigations. This includes an imperative for further exploration into the nexus between mentoring and the PD of educators.

Practical implications

Based on the available literature and meta-analysis findings, the authors developed a framework for the “Experts in the classroom” TPD pattern.

Originality/value

This is the first meta-analysis evaluating the association between mentorship and TPD.

Details

Journal of Managerial Psychology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0268-3946

Keywords

Article
Publication date: 13 June 2022

Bee Lan Oo, Benson Teck-Heng Lim and Goran Runeson

With the aim to provide a global view of factors affecting mark-up size on construction projects, this study performs a meta-analytical review of the relevant studies over the…

Abstract

Purpose

With the aim to provide a global view of factors affecting mark-up size on construction projects, this study performs a meta-analytical review of the relevant studies over the past 20 years.

Design/methodology/approach

The analytical process involved the identification and evaluation of the importance of critical factors affecting mark-up size on construction projects, and the assessment of the generalisability of findings of the meta-analysis. A random-effects model was adopted in the statistical meta-analysis.

Findings

The results show that there are 23 critical factors, and the top five factors are: (1) competitiveness of other bidders; (2) number of bidders; (3) relationship and past experience with client; (4) experience on similar project; and (5) project size. A heterogeneity test further shows that there is no statistically significant heterogeneity across the studies, reinforcing the generalisability of the findings to a global context.

Research limitations/implications

The list of critical factors from a global perspective should form a good basis for future efforts in bidding model development.

Practical implications

The research findings have practical implications to both construction clients and contractors in formulating their contracting practices and strategies.

Originality/value

This is the first meta-analysis of a sizeable collection of replicated studies on factors affecting mark-up size on construction projects in the literature.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 9
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 29 February 2024

Wenque Liu, Albert P.C. Chan, Man Wai Chan, Amos Darko and Goodenough D. Oppong

The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and…

Abstract

Purpose

The successful implementation of hospital projects (HPs) tends to confront sundry challenges in the planning and construction (P&C) phases due to their complexity and particularity. Employing key performance indicators (KPIs) facilitates the monitoring of HPs to advance their successful delivery. This study aims to comprehensively investigate the KPIs for hospital planning and construction (HPC).

Design/methodology/approach

The KPIs for HPC were identified through a systematic review. Then a comprehensive assessment of these KPIs was performed utilizing a meta-analysis method. In this process, basic statistical analysis, subgroup analysis, sensitive analysis and publication bias analysis were performed.

Findings

Results indicate that all 27 KPIs identified from the literature are significant for executing HPs in P&C phases. Also, some unconventional performance indicators are crucial for implementing HPs, such as “Project monitoring effectiveness” and “Industry innovation and synergy,” as their high significance is reflected in this study. Despite the fact that the findings of meta-analysis are more trustworthy than those of individual studies, a high heterogeneity still exists in the findings. It highlights the inherent uncertainty in the construction industry. Hence, this study applied subgroup analysis to explore the underlying factors causing the high level of heterogeneity and used sensitive analysis to assess the robustness of the findings.

Originality/value

There is no consensus among the prior studies on KPIs for HPC specifically and their degree of significance. Additionally, few reviews in this field have focused on the reliability of the results. This study comprehensively assesses the KPIs for HPC and explores the variability and robustness of the results, which provides a multi-dimensional perspective for practitioners and the research community to investigate the performance of HPs during the P&C stages.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 31 May 2023

Meungguk Park, Morgan Chitiyo, Kihwan Kim and Taeho Yoh

A majority of consumers are supportive of socially responsible companies making positive contributions to their communities. However, results of empirical studies on consumers’…

Abstract

Purpose

A majority of consumers are supportive of socially responsible companies making positive contributions to their communities. However, results of empirical studies on consumers’ attitudes toward corporate social responsibility (ACSR) and their purchasing intentions (PI) have been inconsistent. The purpose of this paper is to measure the strength of association between ACSR and PI. This study also aims to examine the moderating effects of firm characteristics (product type and commitment to green/sustainability initiatives), consumer demographics (gender and age) and external factors (geographic region).

Design/methodology/approach

The authors conducted a systematic search, which yielded 28 studies that met the criteria for inclusion in the meta-analysis (total participants = 12,242). This study used meta-analysis to examine the association between ACSR and PI using random effects analyses. Subgroup analyses and meta regression were used to detect moderators in the meta-analysis.

Findings

The main result showed that the average weighted correlation (r+) was 0.478, indicating that ACSR had a strong positive relationship with PI. Subgroup analyses indicated geographic region and product type had no significant moderating effect on the relationship between ACSR and PI. However, the difference for commitment to green initiatives was marginally significant. The high levels of heterogeneity (Q = 535.199, I² = 94.955) and a possible absence of publication bias were evident in the meta-analysis.

Originality/value

This meta-analysis can make meaningful contributions to the existing body of knowledge on corporate social responsibility by testing the influence of the important moderators that include geographic region, product type and commitment to green initiatives.

Details

Social Responsibility Journal, vol. 19 no. 10
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 4 August 2023

Fernando de Oliveira Santini, Luciene Eberle, Wagner Junior Ladeira, Gabriel Sperandio Milan, Ana Paula Graciola and Cláudio Hoffmann Sampaio

This article presents a systematic framework with a meta-analytic approach to finding various antecedents, consequents and moderating effects of trust in financial services.

Abstract

Purpose

This article presents a systematic framework with a meta-analytic approach to finding various antecedents, consequents and moderating effects of trust in financial services.

Design/methodology/approach

A meta-analysis of 165 articles was performed, which generated 272 observations in a cumulative sample of 86,968 respondents.

Findings

The results of this meta-analysis demonstrated seventeen antecedents of trust constructs and four consequents. Most of these relationships were meaningful and consistent. The authors also found some significant moderators related to culture (individualism, masculinity and long-term orientation) and context (innovation index and device type).

Research limitations/implications

This meta-analysis reviewed the relationships found throughout the theoretical framework about the trust construct in financial service contexts, identifying new paths for future research. Some limitations, such as the non-use of qualitative studies and the selection of concepts, exist in the secondary data and should be noted.

Practical implications

The present study can assist financial system managers in decision-making because the findings from the meta-analysis are more consistent than those from traditional primary surveys.

Originality/value

This research tested the impact of antecedents, consequents and moderators of trust in the financial services sector and presented significant results using a meta-analytic review. This meta-analysis contributes to the marketing literature by offering a set of empirical generalizations, including relationship coefficients and fail-safe calculated numbers (FSN).

Details

International Journal of Bank Marketing, vol. 41 no. 7
Type: Research Article
ISSN: 0265-2323

Keywords

1 – 10 of over 6000