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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.

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.

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.

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.

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.

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.

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.

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).

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

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

The purpose of this paper is to identify, through an exploratory meta-analysis, which process- and outcome-related antecedents have the strongest relationship to overall team performance. The secondary objective is to create an understanding of the extent to which relative research interest in each construct to date has aligned with its reported effects.

This study uses a random-effects meta-analysis on studies that have measured the relationship between at least one process or outcome factor and overall team performance. The number of studies, effect size and between-study variances are captured and analyzed for each process/outcome factor. Prior literature has explored relationships between various process/outcome factors and overall team performance. This study expands on previous literature by examining a comprehensive set of process/outcome factors and their relative impact on overall team performance.

A meta-analysis of 190 effect sizes extracted from 52 empirical studies over the past two decades (1999–2020) showed the specific process and outcome factors that most strongly contributed to overall team performance were efficiency, schedule and innovation. In addition, only a weak correlation was found between process and outcome factors’ relationships with overall team performance and how often they are studied in the research community.

This study contributes to the body of knowledge on team performance by examining prior research to identify the relevant impact of various process and outcome factors on overall team performance. In addition, this study also assesses the extent to which research interest in these factors has appeared to match their relative impact. Analyzing the relative impact of various process and outcome factors allows researchers and practitioners to better identify methods to create improvement in overall team performance. Based on the findings, prioritizing efficiency, schedule and innovation may promote overall team performance.

This paper aims to highlight a research on integrating technology into teaching and learning of second/foreign language writing.

In total, 18 empirical studies, involving a total of 1,281 second and foreign language learners, have been reviewed. These studies are selected from the following two databases: Web of Science and Google Scholar. The meta-analysis investigates how effect sizes vary depending on these moderators as follows: stage of writing, language context, learners’ educational level and language proficiency level.

The findings of this meta-analysis have indicated that technology has a large effect on second/foreign language writing (d = 1.7217). These findings have also revealed that the two stages of writing, drafting and editing, have received most of the researchers’ concern. In addition, high school and university learners have achieved a larger effect size of using technology in writing learning; beginner learners have achieved the smallest effect size.

To sum, the previous meta-analyses and reviews tried to explore the effect of computer on writing skills. However, some of them were limited to special groups (Williams and Beam, 2019) and some others analyzed very few studies (Little et al., 2018). Therefore, a comprehensive analysis of the effect of implementing technology in writing skills is needed. The purpose of this study is to perform a meta-analysis of the primary studies about the integration of technology into writing skills. The primary goals of this meta-analysis were to: examine the overall effects of implementing technology in writing; synthesize the relationship between technology and a number of moderators such as stages of writing, language context, learners’ target language proficiency and learners’ educational level (school and university).

The use of meta-analysis in information systems (IS) research has increased. Because this research domain has matured and an increasing number of empirical studies have become available, meta-analysis is now perceived as a useful approach to synthesize an increasing body of empirical research. The present paper gives an overview of meta-analytical techniques, the evolution of meta-analysis in IS, the focus of these studies and method choices made by authors.

This overview is based on 100 meta-analysis studies published in IS journals. These meta-analytical studies synthesize data from 6,262 empirical studies, and the meta-analyses were published between 1989 and 2020. The studies were coded with regard to 16 major method choices that IS researchers made when conducting meta-analyses.

This overview describes the key areas of meta-analysis (e.g. strategy and firm performance) and the journals that publish the meta-analysis. This overview also identifies method issues where meta-analyses have improved in recent years as well as issues that require some attention. Scholars receive guidance about good practices in terms of 16 major method choices related to (1) problem formulation, (2) literature search, (3) coding information, (4) analyzing and integrating effect sizes and (5) interpreting results and reporting findings.

Addressing the identified method issues helps authors of future meta-analyses to increase the transparency of reporting and the likelihood of getting published. The substantive findings of a meta-analysis also often depend on researchers' method choices. Similar overviews exist for other disciplines, such as marketing and management.

The purpose and approaches of this article differ from those of prior research in several ways. First, while existing leadership meta-analytic research has focused on the relationship between specific types of leadership and organizational correlates, this study is a comprehensive and systematic meta-study of overall leadership types and organizational effectiveness. Second, while most of the aforementioned previous leadership meta-analysis studies target various countries and organizations, this study focuses on the leadership of the police, especially the South Korean police, and organizational effectiveness. In particular, this study is necessary because leadership meta-analysis studies of police organizations are rare. Third, this study can contribute to the accumulation of leadership knowledge in the context of contingency theory. According to contingency theory, no form of leadership is effective in all situations. Both the environment and organizational factors of leadership have a significant impact on the effectiveness of leadership. In this regard, it is very meaningful to meta-analyze the studies on leadership and organizational effectiveness of the Korean police and interpret the results in conjunction with the Korean national context and the characteristics of the police.

In this study, the authors conduct a meta-analysis of the studies on the leadership and organizational effectiveness of the South Korean police. To select the literature for the meta-analysis, the authors used the Preferred Items for Systematic Views and Meta-analysis procedure. First, 254 papers were searched, of which 133 were published in academic journals and 121 were dissertations. Second, 84 studies were selected, excluding 135 double-discovered studies, 30 studies unrelated to police leadership and 5 undisclosed studies. Finally, the authors checked the abstract and content of the literature. The authors evaluated the quality of the 36 studies that were selected through the above process. The authors estimate the sample size–weighted mean correlation by reflecting the sample size of each study in the converted Fisher's z-value. The final result is presented by reverting to the correlation coefficient for convenience of interpretation. Through this meta-analytic process, the authors estimated the mean effect size of whole leadership on the organizational effectiveness of the Korean police by integrating the effect size of each study.

The findings of this study have the following theoretical and practical implications. First, the results of this study indicate that the above trends in international leadership research have been applied to the Korean police as well and that the above trends in international leadership research have been applied equally to research into the South Korean police. The authors argue that more servant leadership studies are needed on the South Korean police. Second, the results of this study demonstrate that leadership is strongly correlated with organizational effectiveness among the South Korean police as well. Leadership is also found to be significantly positively related to attitude, behavior and satisfaction among the South Korean police. These results suggest that the leadership of police managers is very important for effective organizational management and improved police performance. Third, the results indicate significant differences in the effect sizes of each type of leadership. The largest effect size is the empowering leadership (EML), almost double the smallest effect size, authentic leadership. The results of the current study also indicate that transactional leadership (TSL) has a strong correlation with organizational effectiveness. Advanced research shows a significantly smaller effect than the magnitude of the effect size in this study. The authors examine the powerful effect of EML among the South Korean police from the perspective of organizational culture and the characteristics of the South Korean police. Influenced by social culture, the South Korean police also have hierarchical characteristics and a rigid organizational culture. In addition, although the police have strong discretion due to the nature of policing, individual police officers often have to take responsibility for the consequences of police discretion.

The most significant limitation of the current study is the lack of research using meta-analysis. The meta-analysis of the study was conducted on the police leadership and organizational effectiveness of one country, Korea. This is both a strong and weak point of the study. The lack of effect size on other leadership styles except transformational leadership and TSL can make it difficult to generalize the study results. There are only four samples of effect size, so careful interpretation is needed. This is also the inherent limitation of meta-analysis. After sufficient research is accumulated, it is necessary to re-estimate the effect size in future studies. In this study, the authors found differences in the effect sizes on organizational effectiveness by leadership types among the South Korean police, but more research is needed to determine the cause of the difference. In addition, this meta-analysis has a very high level of heterogeneity. This implies the possibility of various moderators, but the current study does not consider moderators. The authors recommend a continuous study on moderators that play a role in the relationship between police leadership and leadership outcomes.

In this study, the authors found differences in the effect sizes on organizational effectiveness by leadership types among the South Korean police, but more research is needed to determine the cause of the difference. In addition, this meta-analysis has a very high level of heterogeneity. This implies the possibility of various moderators, but the current study does not consider moderators. The authors recommend a continuous study on moderators that play a role in the relationship between police leadership and leadership outcomes.

The authors’ empirical evidence once again supports the claim of leadership contingency theory that leadership is the result of the interaction of factors such as followers, leaders and organizational environments. It is difficult to conclude that the most effective leadership style among the South Korean police is EML. However, the authors’ findings can raise reasonable questions about generalized leadership effects and serve as evidence that the effects of leadership can vary across national and organizational contexts. Nevertheless, the authors can ask reasonable questions about the existence of generalized leadership effects. Furthermore, the authors’ findings can serve as evidence that the effectiveness of leadership can vary depending on cultural and organizational contexts.

Numerous studies have been conducted on leadership and organizational effectiveness. However, meta-analysis studies on the relationship between leadership and organizational effectiveness focusing on certain national police forces have been limited. In this regard, the current study conducted a meta-analysis on the correlation between leadership and organizational effectiveness for South Korean police. While existing leadership meta-analytic research has focused on the relationship between specific types of leadership and organizational correlates, this study is a comprehensive and systematic meta-study of overall leadership types and organizational effectiveness. While most of the aforementioned previous leadership meta-analysis studies target various countries and organizations, this study focuses on the leadership of the police, especially the South Korean police, and organizational effectiveness. Previous research studies on the leadership of the Korean police have not properly considered national and cultural contexts. Most of them have the same limitations, that is, they applied each leadership theories that were developed in foreign countries (especially transformative leadership and transactional leadership) to the Korean police to explain whether each leadership type has a significant relationship with organizational effectiveness. The meta-analysis of this study can contribute to existing literature by overcoming this limitation. In addition, if the authors’ results match the cultural and historical characteristics of Korean police, they can provide evidence of the potential for effective police leadership in each country. The authors can also argue that meta-analysis of police leadership in other countries is necessary.

The purpose of this paper is to summarize the key findings of meta-analyses in accounting, auditing and corporate governance research.

A structured literature review on 63 meta-analyses related to financial accounting, management accounting, auditing, and corporate governance is conducted.

Most of the previous meta-analyses have been focused on the topic of corporate governance with a clear focus on board composition as an independent variable and by integrating research- and country-specific moderating variables. Meta-analyses in management accounting are rare; furthermore, no meta-analysis in tax accounting has been published yet.

Meta-analyses on these topics are expected to become increasingly important in the following years because of the increased number of empirical quantitative research. This literature review gives useful insights for research, practice and regulation.

Numerous studies have examined factors influencing electronic word of mouth (eWOM) providing behaviour. The volume of extant research and inconsistency in some of the findings makes it useful to develop an all-encompassing model synthesising results. Therefore, the purpose of this study is to synthesise findings from existing studies on eWOM by using meta-analysis, which will help to reconcile conflicting findings of factors affecting consumers’ intention to engage in eWOM communications.

The findings from 51 studies were used for meta-analysis, which was undertaken using comprehensive meta-analysis software.

Factors affecting eWOM providing behaviour were divided into four groups: personal conditions, social conditions, perceptual conditions and consumption-based conditions. The results of the meta-analysis showed that out of 20 identified relationships, 16 were found to be significant (opinion seeking, information usefulness, trust in web eWOM services, economic incentive, customer satisfaction, loyalty, brand attitude, altruism, affective commitment, normative commitment, opinion leadership, self-enhancement, information influence, tie strength, homophily and community identity).

One of the limitations of this study is that the studies for this research were collected the only form from Web of Science, Scopus and Business Source such as databases, which result in a limited number of studies available for weight and meta-analysis. A wider range of databases should be used by future research. Also, this study only considered quantitative studies and excluded qualitative studies. Thus, future studies could include both types of studies in the meta-analysis.

By focussing on the best predictors of intention to provide eWOM communications (e.g. self-enhancement and trust in web eWOM services) managers can improve reader engagement and information assimilation. Knowing motivations to engage in eWOM helps platform operators design their service in a more customer-oriented way. By better understanding motivations to engage in eWOM communications marketers and researchers can influence individuals’ online information assimilation which can affect consumer purchase decisions, customer loyalty and consumer commitment to the community.

Applying meta-analysis helped the reconciliation of conflicting findings, enabled investigation of the strengths of the relationships between motivations and eWOM providing behaviour and offered a consolidated view. The results of this study facilitate the advancement of current knowledge of information dissemination on the internet, which can influence consumer purchase intention and loyalty.

This study reviews the use of meta-analysis in accounting research. We categorize the meta-analytic research into five topics: financial reporting, auditing, corporate governance and accounting quality, management accounting, and miscellaneous topics. Further, we classify the studies by the meta-analysis technique employed: Hunter et al. (1982), Hunter and Schmidt (2000), Lipsey and Wilson (2001), and Stouffer’s approach. We identify 27 meta-analytical studies over the period 1985–2014 with financial reporting (auditing) topics representing seven (six) of these studies. Our review highlights that meta-analytic methods are being applied and accepted, more frequently, to answer complex questions concerning the moderating effects of country-level variables, such as national culture, economic conditions, and institutional characteristics, on various associations of interest.

The purpose of this paper is to further the understanding of the determinants of audit report lag, which is the number of days from a company’s fiscal year-end to the date of its auditor’s report, by synthesizing extant literature. Audit report lag has been a variable of interest in many studies due to its use as a proxy for the occurrence of auditor-client management negotiations and audit efficiency and because long audit report lags delay the release of earnings information to the market.

The author uses meta-analysis to examine commonly identified predictors of audit report lag to determine if the prior research provides a consistent portrayal of audit report lag drivers.

The author finds that a number of variables relating to client profitability and financial condition, client complexity and audit opinion modifications increase audit report lag. In addition, audit report lag decreases with client size, when clients have positive earnings news to report and when the auditor has long tenure and provides non-audit services. Several variables, such as those relating to corporate governance and various auditor characteristics, have been little explored and would benefit from future research.

These results will be useful to researchers when selecting control variables for future audit report lag studies and provide insights into the key factors that contribute to the delay in audit reporting.