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Many academic studies in international business empirically test the determinants of Chinese outward (O)FDI. A weakness with these studies is the limited critical evaluation given to the way in which Chinese OFDI data is collected and used. Chinese multinational enterprises (C)MNEs frequently establish special purpose entities in tax havens to transit FDI via intermediary jurisdictions. The purpose of this paper is to develop an alternative approach for measuring CMNE OFDI and subsequently explore how the results of previous studies may have been confounded use of tax havens by MNEs. The authors address the latter question by replicating widely cited quantitative studies.

Replication approach.

Through the replication of several studies, this paper finds high levels of discrepancies in general sign and significance between global ultimate ownership modeling results and those using officially recorded FDI data. More specifically, the main areas impacted by using official data rather than data which accounts for the use of tax havens are cultural proximity, geographic distance and natural resource seeking.

This paper looks at studies, which use official FDI data to understand CMNE behavior. It is important to note, however, that there are many hundreds, if not thousands, of studies that use other national-level FDI data to draw similar types of inferences about MNE activity. In this sense, the authors’ critical evaluation of CMNE work holds a much broader and, arguably, more important question: How reliable, in general, are studies, which use officially recorded FDI data? The results from this paper have already caused reflection on the impact of tax haven use on official FDI collection organizations, such as the OECD.

The social implications of companies using tax havens to route FDI is immense. The use of tax havens not only aids in tax minimization for companies, but also obscures the true providence and identity of companies. This is problematic in a society, which increasingly desires to understand where, how and by whom a product or service was created prior to consumption.

This paper argues that the tendency for Chinese MNEs to establish offshore holding companies in tax havens has given rise to significant biases in official FDI statistics. Through the use of global ultimate ownership data, the authors have put forward an alternate approach to measure genuine CMNEs’ OFDI activity, one which confronts and deals with their pervasive engagement with tax havens. Through the replication of several Chinese OFDI location choice studies, it was possible to understand how methodological issues stemming from the use of official FDI data may influence prior econometric results. In doing so, the authors hope to have sparked a debate which may lead to a re-evaluation of earlier received wisdom regarding Chinese MNE investment strategy and behaviors. This in turn should foster improved theorizing regarding the Chinese MNE and its outward investment activities.

This research aims to replicate the work of Oberholster et al. (2013) on expatriation motivation through a generalization and extension replication. Additionally, it aims to contribute to the Self-Initiated Expatriates (SIEs) literature by studying the Basic Psychological Needs (BPNs) of SIEs as proposed by the Self-Determination Theory (SDT).

This research used Latent Class Analysis (LCA) with covariate estimation to create five clusters based on survey data from 179 SIEs. Additionally, the replication procedure followed recommendations by Dau et al. (2022) to produce a constructive replication.

Besides validating clusters in the original study, one new cluster was found. Furthermore, identifying the BPNs of the clusters helped in understanding the mechanism that motivates them.

By studying the BPNs as per the SDT, this research contributes to our understanding of the psychological factors that shape expatriates' motivations and experiences. This can inform the knowledge developed in the international mobility theories and the models related to SIEs' psychological well-being.

Building on the results of this research, organizations can tailor recruiting and retaining strategies to the specific BPNs of different SIEs groups. Organizations can motivate SIEs, enhance their job satisfaction and loyalty, predict their success, and support their psychological well-being.

A generalization and extension replication value lies in testing the validity and reliability of previous findings in new contexts. The originality in this research stems from its utilization of the BPNs from SDT to explain SIEs' motivation and evaluate their psychological well-being.

The purpose of this paper is to address the role of cognitive skills and extent of skill use at work in explaining the immigrant–native wage gap in Europe. The study targets immigrant–native disparities in literacy and numeracy cognitive skills, as important, yet not exhaustive factor behind immigrants’ wage penalty.

The research relies on the Program of International Assessment of Adult Competencies data for 15 European countries. The empirical analysis employs multivariate regression analysis and incorporates the full set of plausible values for each skill domain, to correctly measure cognitive skills. To estimate standard errors, the authors employ Jackknife replication methodology with 80 replication weights and final population weight.

The authors document that, on average, immigrants achieve substantially worse scores in literacy and numeracy test domains. Only highly educated immigrants tend to improve their skills over time in host countries. The results of wage gap analysis indicate that having cognitive skills, demographic profile and occupation category comparable to natives does not yield comparable wage rate. The remaining wage gap results from the systematic differences in skills application at work, as immigrants use their skills to lower extent, relative to natives.

The research employs a novel measure of productive human capital, which accounts for cognitive skills in literacy and numeracy domains, and frequencies of skill use at work. It allows to more precisely evaluate the immigrant–native disparity in human capital application and its reflection on the wage rate.

Purpose – The purpose of this chapter is to examine the frequency of multi-study research packages in the organizational sciences and advocate for their use by detailing strengths and recognizing limitations.

Methodology/approach – Philosophy of science research, focusing on multi-study research packages, is discussed followed by a 20-year review of incidence of these packages in top organizational sciences journals.

Findings – The publication of multi-study research packages have increased over the past 10 years, most notably in micro-level journals.

Social implications – For reasons of validity and generalizability, society benefits if scholars adopt multi-study approaches to knowledge generation and disseminate.

Originality/value of the chapter – This chapter provides the most comprehensive review of multiple-study research packages in the organizational sciences to date, examining publication trends in eight leading micro-and macro-level journals. We also summarize the use of multi-study packages in our own research and offer recommendations for improving the science of replication.

In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them.

Progress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed.

The results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing.

The present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals.

To appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers.

In general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume.

This report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.

Replication is a primary self-correction device in science. In this paper, we have two aims: to examine how and when the results of replications are used in management and organization research and to use the results of this examination to offer guidelines for improving the self-correction process.

Study 1 analyzes co-citation patterns for 135 original-replication pairs to assess the direct impact of replications, specifically examining how often and when a replication study is co-cited with its original. In Study 2, a similar design is employed to measure the indirect impact of replications by assessing how often and when a meta-analysis that includes a replication of the original study is co-cited with the original study.

Study 1 reveals, among other things, that a huge majority (92%) of sources that cite the original study fail to co-cite a replication study, thus calling into question the impact of replications in our field. Study 2 shows that the indirect impact of replications through meta-analyses is likewise minimal. However, our analyses also show that replications published in the same journal that carried the original study and authored by teams including the authors of the original study are more likely to be co-cited, and that articles in higher-ranking journals are more likely to co-cite replications.

We use our results to formulate recommendations that would streamline the self-correction process in management research at the author-, reviewer- and journal-level. Our recommendations would create incentives to make replication attempts more common, while also increasing the likelihood that these attempts are targeted at the most relevant original studies.

The purpose of this paper is to discuss the pervasive problem of a lack of replication studies in international business based on van Witteloostuijn’s (2016) commentary “What happened to Popperian Falsification?”

The author presents two short case studies from her own research, one in which no replication studies took place, and one in which a replication study was conducted shortly after the original study was published.

The author shows how the lack of replication in the first case study example resulted in the creation of research myths, whereas the judicious replication in her second case study strengthened arguments for a new – less biased – measure of research performance. The author also discusses why most journals in the field are not open to replication studies and provides recommendations on how to move forward.

Using two real-life case studies provides a vivid illustration of the problems created by a lack of replications and illustrates the benefits of good replication studies.

This study aims to explore the degree to which the editorial policies of business and management journals explicitly or implicitly discourage replication studies.

The paper examines differences in editorial policy toward replication studies relative to journal quality, age and sub-discipline area. A total of 600 journals (listed as Q1 and Q2 in Scopus) were selected for the current study.

The results reveal that out of 600 selected journals, only 28 (4.7%) were explicitly open to considering replication studies, while 331 (55.2%) were neutral, being neither explicitly nor implicitly dismissive of replication studies. A further 238 (39.7%) were implicitly dismissive of replication studies, and the remaining 3 (0.5%) journals were explicitly disinterested in considering replication studies for publication. CiteScore and Source Normalized Impact per Paper (SNIP) of neutral journals were significantly lower than those of journals, which were implicitly discouraging replication research. With regard to the journals implicitly discouraging replications (238), journals in the subcategory of business and international management (51) had the highest percentage (21.4%) followed by strategy and management 30 (12.6%) and Organizational Behavior (OB) and Human Resource (HR) 25 (10.5%).

The available literature does not explore the degree to which the editorial policies of business and management journals explicitly or implicitly discourage replication studies. The current study attempts to address this gap in the literature. Given the lack of support for replications among business and management journals, the current paper sets forth the suggested steps which are deemed crucial for moving beyond the replication crisis in the business and management field.

The present research aims to revisit the relationships between buyer dependence on suppliers, relational norms between two parties in a buyer-supplier dyad, and a buyer's tendency to either engage in opportunistic behaviors or comply with a supplier's request as an exception condition. The authors adopt a supplier's perspective to examine the supplier's anticipation of the buyer's behaviors.

Based on the original studies conducted by Joshi and Arnold, the authors extend both works using a similar methodology but with a different data sample. The previously validated buyer-supplier relationship supply disruption scenario presented in the original studies is rewritten from a supplier's perspective to examine the supplier's anticipation of the buyer's behaviors. Subjects are asked to assume the role of an account manager within the key supplier firm for an electronic equipment manufacturer and to respond to how they deal with the supplier's expectation of how the buying firm may behave in terms of compliance and opportunism.

The results show that buyer dependence is positively related to buyer compliance behaviors and that this relationship holds irrespective of the buyer's or supplier's perspective on the supply disruption scenario and irrespective of professional or student subjects. Other findings include the contingency of the moderating effect of relational norms on the link between dependence and buyer compliance on various factors, and the existence of a boundary condition for the moderation effect of relational norms on the link between dependence and buyer opportunism.

The study should prove valuable to academics and professionals alike. It reinforces the notion that buyers that are more dependent and reliant on suppliers are more willing to comply with supplier's needs. Also, it considers the possibility that supply chain agents from both the buyer and supplier sides may value the effect of relational norms differently, with suppliers perceiving that relational norms have more of a direct influence on a buyer's behavior. Lastly, the replication study extends the understanding of the generalizability of the original studies.

Herbert Krugman (1971) was among the first marketing scholars to utilize electroencephalography (EEG) to examine advertising. However, nearly five decades have transpired since this innovative research, making it potentially valuable to use a modern-day approach to reproduce a first-generation neuromarketing study. Thus, the purpose of this study is to replicate and extend Krugman’s original work.

To measure participants’ neural activity, two within-subject experiments were conducted to test the effectiveness of advertising using EEG. Independent factors, as defined by Krugman (1971), were three national brand ads differentiated by their level of effectiveness (high/low) associated with recall and arousal.

Results from Study 1 largely support Krugman’s original findings, in that an inverse relationship is observed among brain waves (beta, theta and alpha) across multiple exposures and levels. Meaning, similar patterns of activation and dissipation occur regardless of ad type or frequency. Findings from Study 2 were successful in accomplishing what Krugman originally could not by distinguishing between the ads utilizing an event-related potential (ERP) design.

This study demonstrates that a single neuromarketing approach can be used in multiple ways to provide richer insight while adding value during the research process. At the very least, the re-inquiry is an informative act associated with the theoretical relevance of using EEG measurement in marketing research.