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This study examines the conceptual domain of international marketing following substantial growth in its development. With the objective to investigate recent patterns and development in the literature this study evaluates 1,816 research articles on international marketing published between 1990 and 2012. The classification of conceptual domain has yielded 57 configurational contents under seven prime research streams. Simple meta-analysis on international marketing literature created a clear depiction of attention of contributors toward research streams and the number of contributors, and worthy sources of literature. Several directions for advancement of knowledge in international marketing, identified fields, and their implications for future research are discussed.

To overcome and solve the problems of all the research community, in this chapter we offer everyone to focus on the Planning, Operationalizing, Writing, Embedding, and Reflecting (POWER) framework of conducting literature review. The framework guides the scholarly community on how to create and evaluate literature review papers to overcome the merit dilemma on the contribution made by review papers. With the sole focus toward review of literature, we are pleased to present “Review of Management Literature (RoML)” and introducing the first volume. This chapter and volume answers the present tensions accruing in the existing literature as well as present strategies on bridging the gaps. The chapters included in the first volume belong to emerging research areas such as marketing, human resources, international businesses, supply chain management, artificial neural network, luxury consumption, financial technology (FINTECH), mergers and acquisition, social media platforms like Instagram, cultural diversity, services, sustainability, quality 4.0, entrepreneurial ecosystem, and dividend decisions. The first volume is going to be useful to scholars in exploring future research areas across business management disciplines.

This study aims to integrate extant research on eWallet adoption to better understand the key antecedents to eWallet use intention and examine whether the relationships differ across multiple moderators.

To integrate eWallet adoption findings, the unified theory of acceptance and use of technology (UTAUT) and its extensions were utilized. Meta-analyses estimated the relationships between eWallet use intention and seven antecedents and the intercorrelations between antecedents. A total of 28 effects were calculated, utilizing 48 studies and 444 individual effect sizes, using 14,802 subjects. Using meta-analytically derived values, regression and relative weight analysis then determined each antecedent's relative utility. Furthermore, moderator analyses examined whether eight theoretically based moderators influenced the relationships between the antecedents and eWallet use intention.

Price value, hedonic motivation, facilitating conditions and social influence had the strongest relationships with the intention to use eWallets, accounting for virtually all the unique variance. The three weakest antecedents, however, still explained a large percentage of variance. No relationships were significantly moderated.

Due to the lack of data in primary studies, some UTAUT moderators could not be analyzed. Also, common method variance may impact the findings because the primary studies used cross-sectional surveys.

This study provides guidance regarding how companies can increase eWallet adoption rates, which have lagged in certain countries. These recommendations include specific techniques for tailoring messages and emphasizing features and benefits.

To the best of the authors’ knowledge, this is the first integrative meta-analysis conducted on eWallet use. Combining meta-analysis, regression and relative weight analysis, this study provides an integration of what is currently known about eWallet use intentions.

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 provide an update on various methodological issues and statistical techniques pertinent to the conflict management literature. First, issues related to use of laboratory studies, college students, and the study situation are reviewed. Second, two recent innovative statistical techniques, meta‐analysis and confirmatory modeling are described and potential applications in the conflict management field are given.

The link between supply chain agility (SCA) and performance has been tested in previous research with different samples and results. The present paper quantitatively analyses and summarises the impact of SCA on performance found in previous empirical papers and determines the influence of several identified moderators.

Using a meta-analysis approach based on a systematic literature review, a total of 63 empirical papers comprising a sample of 14,469 firms were meta-analysed to consider substantive (type of performance and SCA operationalisation) and extrinsic (economic region and industry) moderators.

Results confirm a significantly large, positive correlation between SCA and performance. None of the analysed moderators has enabled the identification of any significant differences between the SCA and performance correlations by subgroup. However, high heterogeneity in total variance, both in the full sample and the subgroups by moderator, demands further rigorously reported empirical research on this topic with clearly conceptualised variables and frameworks and the use of validated scales.

Several research gaps and best practice recommendations have been indicated to improve future empirical research on this topic.

Practitioners in different economic regions and industries will find consistent evidence of improvements in performance through SCA.

No meta-analysis has been found in previous research to estimate the value of the correlation between SCA and performance and the influence of moderating variables.

The paper aims at providing insights on the relationship between capital structure and performance of the firm by employing meta-analytical approach to obtain a synthesized result out of controversial studies as well as the sources for such inconsistency.

Using secondary data, the analysis is divided into two main parts with concerns to the overall strength of the relationship, the effect size and the potential paper-specific characteristics influencing the magnitude of impacts between leverage and firm performance (moderators of the relationship). Overall, a total number of 32 journals, reviews and school presses were selected besides online libraries and publishing platforms. There were 50 papers with 340 studies chosen from 2004 to 2019, of which data range from 1998 to 2017.

Using Hedges et al. (1985,1988), descriptive and quantitative analysis have been conducted to confirm that corporate performance is negatively related to capital decisions, which inclines toward trade-off model with agency costs and pecking order theory. The estimation induces rather small effect size that implies sufficiently large sample size to be effectively investigated. In terms of moderator analysis, random-effects meta-regression models of three different techniques are used to increase the robustness in research findings, showing statistically significant elements as publication status, factor of industry and proxy of firm performance.

This paper is one of the first papers presenting meta-analysis in capital structure and performance for two languages, Vietnamese and English, providing a consistent result with previous worldwide papers.

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).

This study examines antecedents to fintech use intention to determine which antecedents can provide a parsimonious, yet accurate explanation.

Meta-analyses based on 42 samples estimate how seven antecedents are associated with fintech use intentions. Subsequent analyses utilize meta-analyses to estimate a regression analysis to simultaneously estimate the relationship between the antecedents and fintech use intention. Relative weight analysis then determined each antecedent's utility.

Hedonic motivation, price value, performance expectations and social influence had the strongest relationships with intention to use fintech. Further analyses found a parsimonious model with only three antecedents was nearly as predictive as the full seven antecedent model. Four moderating variables were examined but played minor roles.

Common method variance may impact the findings because all primary studies used cross-sectional surveys.

Very few measures (i.e. three) can robustly explain fintech use intention. When these measures cannot be readily influenced, alternatives are also presented.

This is the first integrative review of fintech use intentions. The authors integrate what is currently known about fintech use intentions and then provide a robust model for fintech use intentions that both researchers and practitioners can utilize.

This study integrates previous research on the intention to use Airbnb to determine which antecedents provide a parsimonious explanation.

Meta-analyses based on 61 samples estimate how 8 antecedents are associated with the intention to use Airbnb. Subsequent analyses utilize meta-analyses to estimate a regression model to simultaneously estimate the relationship between the antecedents and the intention to use Airbnb. Relative weight analysis then determined each antecedent’s utility.

A parsimonious model with only four antecedents (hedonic motivation, price value, effort expectancy and social influence) was nearly as predictive as the full eight-antecedent model. Ten moderating variables were examined, but none were deemed to consistently influence the relationships between the antecedents and the intention to use Airbnb.

Relatively few measures (i.e. four) effectively explain customers’ intentions to use Airbnb. When these measures cannot be readily influenced, alternatives are also presented. Implications for the travel industry are considered and straightforward approaches to increasing users are presented.

This is the first integrative review of customers’ intentions to use Airbnb. We integrate what is currently known about customers’ intentions to use Airbnb and then provide a robust model for Airbnb use intentions that both researchers and practitioners can utilize.