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1 – 10 of 73Ryan W. Tang and Mike W.-L. Cheung
The purpose of this paper is to illustrate how international business (IB) researchers can benefit from meta-analytic structural equation modeling (MASEM) by introducing a…
Abstract
Purpose
The purpose of this paper is to illustrate how international business (IB) researchers can benefit from meta-analytic structural equation modeling (MASEM) by introducing a statistically rigorous approach (i.e. two-stage meta-analytic structural equation modeling or TSSEM) and comparing it with a conventional approach (i.e. the univariate-r approach). The illustration and comparison present a methodological overview of MASEM that will assist IB researchers in selecting an optimal method.
Design/methodology/approach
In this paper, the MASEM method is elaborated upon, and methodological issues are addressed, by comparing the TSSEM and the univariate-r approaches using an empirical illustration. In this illustrative example, which is based on transaction cost economics, the effects of a firm’s internal factors on its levels of commitment in an international entry strategy are examined.
Findings
The MASEM method can help IB researchers to test and build on IB theories by synthesizing findings in the extant literature because this method reflects the theoretical complexity of IB (e.g. intercorrelationships among factors). Comparing the two approaches of MASEM, it is found in this study that due to its statistical rigorousness TSSEM has methodological advantages in helping IB researchers test theoretical models.
Originality/value
This is the first study to introduce MASEM into the discipline of IB strategies. In this paper, the authors introduce an advanced research method and illustrate two ways of using it.
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Sara Yamini, Kyriaki Fousiani and Barbara Wisse
In this meta-analysis, the authors investigate the relationship between self-construal and conflict management strategies and shed light on the inconsistent findings in the…
Abstract
Purpose
In this meta-analysis, the authors investigate the relationship between self-construal and conflict management strategies and shed light on the inconsistent findings in the literature. Moreover, they examine the mediating role of face concerns in this relationship. Importantly, the present meta-analysis is the first to test the assumptions of face-negotiation theory with the meta-analytic structural equation modeling (MASEM), which enabled the authors to test the hypothesized relationships in one single model.
Design/methodology/approach
The authors used the method of MASEM to test the relationship between self-construal and conflict management and assess the mediating role of face concerns. In this regard, the authors employed one-stage meta-analytic structural equation modeling to perform MASEM and its moderators.
Findings
Two hundred fifty-four effect sizes based on thirty-three studies were pooled in this meta-analysis. The authors found that individuals with stronger independent self-construal and stronger self-face concerns were more likely to use forcing. Moreover, the relationship between independent self-construal and forcing was mediated by self-face concerns. Individuals with a stronger interdependent self-construal and individuals with stronger other-face concerns were more likely to use problem-solving and yielding. The relationship between interdependent self-construal and problem-solving and yielding was mediated by other-face concerns. Finally, interdependent self-construal also had an indirect effect, via other-face concern, on avoiding and compromising.
Originality/value
The present meta-analysis is the first effort that the authors are aware of to test the assumptions of face-negotiation theory (FNT) using MASEM method. The authors used one-stage meta-analytic structural equation modeling viewed as the state of the methods to perform MASEM and its moderators. They employed full information meta-analytic structural equation modeling to show the generalizability and heterogeneity of structural equation modeling parameters. They applied studentized deleted residuals to assess outlier analysis and also conducted different methods to perform MASEM to check the robustness of the findings resulted. Finally, the current study adds multiple methods of assessing for publication bias.
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Ruihe Yan, Xiang Gong, Haiqin Xu and Qianwen Yang
A wealth of studies have identified numerous antecedents to online self-disclosure. However, the number of competing theoretical perspectives and inconsistent findings have…
Abstract
Purpose
A wealth of studies have identified numerous antecedents to online self-disclosure. However, the number of competing theoretical perspectives and inconsistent findings have hampered efforts to obtain a clear understanding of what truly influences online self-disclosure. To address this gap, this study draws on the antecedent-privacy concern-outcome (APCO) framework in a one-stage meta-analytical structural equation modeling (one-stage MASEM) study to test a nomological online self-disclosure model that assesses the factors affecting online self-disclosure.
Design/methodology/approach
Using the one-stage MASEM technique, this study conducts a meta-analysis of online self-disclosure literature that comprises 130 independent samples extracted from 110 articles reported by 53,024 individuals.
Findings
The results reveal that trust, privacy concern, privacy risk and privacy benefit are the important antecedents of online self-disclosure. Privacy concern can be influenced by general privacy concern, privacy experience and privacy control. Furthermore, moderator analysis indicates that technology type has moderating effects on the links between online self-disclosure and some of its drivers.
Originality/value
First, with the guidance of the APCO framework, this study provides a comprehensive framework that connects the most relevant antecedents underlying online self-disclosure using one-stage MASEM. Second, this study identifies the contextual factors that influence the effectiveness of the antecedents of online self-disclosure.
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Pankaj Vishwakarma and Malaya Ranjan Mohapatra
Understanding consumer behavior across various contexts within marketing has long been the focus of studies. Although many models are used in explaining consumers' behavior, one…
Abstract
Purpose
Understanding consumer behavior across various contexts within marketing has long been the focus of studies. Although many models are used in explaining consumers' behavior, one of these is the Model of Goal-Directed Behavior (MGB), which is becoming prominent in explaining consumers' behavior in marketing. Given its popularity, prior research on MGB has shown inconsistent outcomes regarding the casual association of MGB variables. To overcome this, the authors have adopted a meta-analytic review of the marketing studies grounded on MGB theory in examining the consumers' behavior.
Design/methodology/approach
The study reviewed and analyzed 611 correlations from 27 studies with 31 samples (combined sample size of 9588) using a meta-analytic structural equation modeling (MASEM) technique.
Findings
The outcomes of MASEM confirm the significance of all the proposed relationships in the MGB model. However, the attitude has shown a strong influence on desire formation among all the proposed MGB relationships. Further, past buying experience and positive anticipated emotions strongly affect desire in developed nations compared to developing nations.
Research limitations/implications
The current work has considered the possibility of various recommended moderators (e.g. culture, crisis situation, sample size, method of data collection, etc.); however, the study lacks to consider the dimension of gender dominance in it. Hence, future researchers should keep it in mind while conducting similar studies. Future scholars can also perform a comparative study on MGB across the domains and subdomains to know more insights.
Originality/value
The current work offers a better understanding of MGB application in marketing. As this work is one of the first meta-analyses on MGB application in marketing that also considers the effect of various moderators, it thus adds knowledge to the literature on MGB in marketing. It will also help the future researchers to understand MGB as a framework and its application in marketing.
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Angélica Pigola, Pedro Victor De Santi, Priscila Rezende da Costa and Jose Storopoli
The authors examined intellectual capital (IC) components, namely human, structural and relational capital, on firm performance (FP) and innovation performance (IP), while also…
Abstract
Purpose
The authors examined intellectual capital (IC) components, namely human, structural and relational capital, on firm performance (FP) and innovation performance (IP), while also examining the role of knowledge management (KM) in this context.
Design/methodology/approach
The authors employed a meta-analysis using 81 studies from 2006 to 2020 using bivariate analysis, meta-analytic structure equation modeling (MASEM) and fuzzy-set qualitative comparative analysis (fsQCA) to study IC components on FP and IP.
Findings
The MASEM results show that IC affects positively on FP, but not in a significant level and affects positively and significantly on IP. The findings also reveal that the moderation effect of KM affects positively on FP but not on IP. Additionally, the fsQCA analysis shows that KM and its multidimensional role has a positive impact on FP and IP and has a potential to be consistent as a dynamic component for IC.
Research limitations/implications
The results may be limited by different statistical biases and inverse causality issues or associated with contextualities related to the studies of the sample selected by our criteria.
Practical implications
Managers can identify the appropriate IC elements and act accordingly. The study suggests that mobilizing human, structural, relational and knowledge capital must begin from the firms' birth and continue further during firms' stages of the business.
Social implications
IC is the bridge of evolution for future societies. Knowing how its components impact all levels of corporate environment indirectly influences how societies build up their social bases and policies to fulfill new professional generations.
Originality/value
By using the MASEM and fsQCA, the authors have more detailed insights into the multidimensional context of KM in IC components on firm and innovation performance identifying configurations of intangible resources.
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Wei Chen, Jun-Hui Zhang and Yi-Lin Zhang
The purpose of this study is to reveal a sequential mediating process of the impact of shared leadership on team performance by studying the sequential mediating effect of team…
Abstract
Purpose
The purpose of this study is to reveal a sequential mediating process of the impact of shared leadership on team performance by studying the sequential mediating effect of team trust and team learning behavior.
Design/methodology/approach
This study develops and examines a sequential mediation model using the meta-analytic structural equation modeling (MASEM) method. The sample adopted consists of 347 independent effect sizes extracted from 280 empirical papers (288 independent studies, N = 21,888 groups).
Findings
The results indicate that team trust and team learning behavior play a sequential mediating effect in the shared leadership–team performance relationship.
Practical implications
The findings suggest that practitioners should share leadership functions and responsibilities among talented team members. Furthermore, practitioners should strengthen the emotional interaction among team members and give positive feedback to the team's intensive learning behaviors.
Originality/value
By identifying the sequential mediating effect of team trust and team learning behavior, this study not only advances the understandings of a comprehensive mediating process through which shared leadership enhances team performance, but also offers new insights into the interrelationship of different types of mediating mechanisms (i.e. team emergent state and team process) in the shared leadership–team performance relationship.
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Stephen Oduro and Alessandro De Nisco
Informed by the resource-based view of the firm, dynamic capabilities theory and contingency theory, this study examines the impact of Industry 4.0 (IR4.0) technologies adoption…
Abstract
Purpose
Informed by the resource-based view of the firm, dynamic capabilities theory and contingency theory, this study examines the impact of Industry 4.0 (IR4.0) technologies adoption on firm performance (FP) while accounting for the mediating role of innovation ambidexterity (IA) and moderating roles of contextual and methodological factors that drive the performance gains of the phenomenon.
Design/methodology/approach
A random-effect model in comprehensive meta-analysis (CMA) is used to synthesize 113 studies in 115 independent samples with 192,188 observations.
Findings
This analysis demonstrates that IR4.0 digital technologies are directly related to financial and non-financial performance, disclosing that the performance effect on non-financial is the largest. Moreover, there is a complementary partial mediation role of the impacts of IR4.0 on FP by IA. Furthermore, this focal relationship is moderated by boundary-spanning conditions: contextual factors – firm size, business type, economic development, industry sector and methodological factors – proxy of FP, sample size and study type.
Practical implications
The results imply that IR4.0 produces financial and non-financial benefits by enabling firms to develop dynamic capabilities like innovation ambidexterity, which informs managers and practitioners that unless IR4.0 technologies and IA strategies are combined together to generate superior FP, IR4.0, in and of itself, would produce a less positive impact on FP than the combined impact of IR4.0 and IA. Therefore, managers should focus on converting IR4.0 resources to dynamic capabilities like IA by leveraging open innovation strategies or building IR4.0-based coordination mechanisms by creating cross-unit business synergies.
Originality/value
To the best of the authors' knowledge, per the literature review, this is the first meta-analysis structural equation modeling study on the interplay between IR4.0, innovation ambidexterity and firm performance.
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Wine consumer behavior has long been a topic of discussion among scholars and industry professionals aiming to understand the underlying predictors of key behavioral outcomes. To…
Abstract
Purpose
Wine consumer behavior has long been a topic of discussion among scholars and industry professionals aiming to understand the underlying predictors of key behavioral outcomes. To help explain wine consumer behavior, concepts such as involvement, expertise, loyalty, satisfaction and perceived risk are often examined. The overarching objective of this study is to determine the relationship between these predictors and their impact on wine purchase intention utilizing a meta-analytical structural equation modeling (MASEM) technique.
Design/methodology/approach
As MASEM provides substantive evidence regarding the relationships between theoretical constructs through the combination of multiple studies, the researchers’ aim is to make definitive statements about the predictors of purchase intention.
Findings
Findings revealed several relationships that support previous research but also identified relationships that contradict previous literature. This study contributes valuable insights into consumer behavior that wine brands can utilize to improve their marketing efforts.
Practical implications
Wine marketers with a greater understanding of the stronger predictors of purchase intention should be able to create marketing plans that drive wine sales.
Originality/value
Despite the abundance of research that has utilized these theoretical constructs to demonstrate their propensity for determining behavioral outcomes such as purchase intention, no previous attempts have synthesized this body of literature through the use of meta-analysis.
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Darius Pacauskas and Risto Rajala
Information technology has been recognized as one of the keys to improved productivity in organizations. Yet, existing research has not paid sufficient attention to how…
Abstract
Purpose
Information technology has been recognized as one of the keys to improved productivity in organizations. Yet, existing research has not paid sufficient attention to how information systems (ISs) influence the creative performance of individual users. The paper aims to discuss this issue.
Design/methodology/approach
This study draws on the theories of flow and cognitive load to establish a model of the predicted influences. The authors hypothesize that the information technology supports creativity by engaging individuals in a creative process and by lowering their cognitive load related to the process. To test these hypotheses, the authors employ a meta-analytical structural equation modeling approach using 24 previous studies on creativity and ISs use.
Findings
The results suggest that factors that help the user to maintain an interest in the performed task, immerse the user in a state of flow, and lower a person’s cognitive load during IS use can affect the user’s creative performance.
Research limitations/implications
The findings imply that a combination of the theories of flow and cognitive load complements the understanding of how ISs influence creativity.
Originality/value
This paper proposes an explanation on why ISs affect creativity, which can be used by scholars to position further research, and by practitioners to implement creativity support systems.
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Yi Li, Renjing Liu, Jinbo Wang and Tong Zhao
This study investigated the underlying influence mechanism between mHealth service quality (SQ) and users' adoption intention and compared the differences of consumer individual…
Abstract
Purpose
This study investigated the underlying influence mechanism between mHealth service quality (SQ) and users' adoption intention and compared the differences of consumer individual decision-making behaviors between the pre-adoption stage and the post-adoption stages.
Design/methodology/approach
This study built the pre-adoption and post-adoption models based on the stimulus-organism-response (S-O-R) model. Besides, this study collected 14,221 independent samples from 40 studies of pre-adoption intention to use and 12,876 independent samples from 36 studies of post-adoption intention to continue using and used meta-analysis structural equation modeling (MASEM) method to explore the formation of mHealth service quality influence on consumers toward adoption intention.
Findings
The results showed that (1) service quality positively trigger users' cognition response (i.e. perceived usefulness, perceived ease of use and perceived trust) and further positively drove the adoption and continuance intention; (2) there are similarities and differences in the relative importance of users' cognitive response between service quality and adoption intention at pre-adoption and post-adoption stages; (3) perceived trust (PTRU) played the most significant mediator in predicting users' adoption intention in both two stages; (4) perceived usefulness had a stronger influence than perceived ease of use (PEOU) on the adoption intention in pre-adoption while the result was just opposite in post-adoption stage.
Practical implications
This study could help service providers effectively allocate their limited resources to improve user adoption intention.
Originality/value
This study is the first one to open the black box of the underlying influence mechanisms between mHealth service quality and individual adoption intention in mHealth services and show differences in consumer decision-making according to the adoption stage. It provides a new perspective to the research in mHealth.
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