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The present work is an experimental and numerical study of a sloshing problem including baffle effects. The purpose of this paper is to assess the numerical behavior of a Lagrangian technique to track free surface flows by comparison with experiments, to report experimental data for sloshing at different conditions and to evaluate the effectiveness of baffles in limiting the wave height and the wave propagation.

Finite element simulations performed with a fixed mesh technique able to describe the free surface evolution are contrasted with experimental data. The experiments consist of an acrylic tank of rectangular section designed to attach baffles of different sizes at different distance from the bottom. The tank is filled with water and mounted on a shake table able to move under controlled horizontal motion. The free surface evolution is measured with ultrasonic sensors. The numerical results computed for different sloshing conditions are compared with the experimental data.

The reported numerical results are in general in good agreement with the experiments. In particular, wave heights and frequencies response satisfactorily compared with the experimental data for the several cases analyzed during steady state forced sloshing and free sloshing. The effectiveness of the baffles increases near resonance conditions. From the set of experiments studied, the major reduction of the wave height was obtained when larger baffles were positioned closer to the water level at rest.

Model validation: evaluation of the effectiveness of non-massive immersed baffles during sloshing.

The value of the present work encompass the numerical and experimental study of the effect of immersed baffles during sloshing under different imposed conditions and the comparison of numerical results with the experimental data. Also, the results shown in the present work are a contribution to the understanding of the role in the analysis of the proposed problem of some specific aspects of the geometry and the imposed motion.

This paper aims to examine the existing literature on firms’ power through the lens of the supply chain and highlights some gaps that could be covered by future research.

This study uses a systematic framework-based review combining the insights of the antecedents, decisions and outcomes (ADO) and theories, contexts and methods (TCM) frameworks. The review was carried out using a sample of 108 articles published between 1984 and 2022 in 25 prestigious journals.

The ADO framework maps out the state of the art of the antecedents of power (i.e. sources and types of firm power), the decision to use power and the effect that exercising power over other firms may have on firm performance and the quality of inter-firm relationships. In addition, this framework highlights factors that mediate or moderate the decision to exercise power and the factors that mediate or moderate the outcomes of exercising power or power asymmetry. The TCM framework provides insights into the theories, contexts (i.e. countries, industries, level of analysis and sources of data) and methods used by the existing literature. The content analysis using the aforementioned frameworks provides the basis to elaborate propositions for future research on power in the supply chain from the perspective of gender differences.

This systematic literature review offers a comprehensive guide for researchers to understand the antecedents, decisions and outcomes of firm power in the supply chain, as well as the TCM used in the literature. The content analysis using frameworks provides a road map to investigate the proposed factors that might moderate the decision to exercise power and the outcome of exercising power or power asymmetry from the perspective of gender differences. In addition, based on content analysis, the authors make propositions about TCM that could be applied in future research.

From a practical perspective, this systematic literature review may help managers to better understand the sources and consequences of their firm’s power. This would allow managers to make better decisions when negotiating with their supply chain parties, which could potentially lead to better performance for their firms and the whole supply chain.

To the best of the authors’ knowledge, this study is the first to conduct a comprehensive systematic literature review of the different dimensions of firms’ power in the supply chain.

The purpose of this paper is to investigate the effect of growth temperature on the evolution of indium incorporation and the growth process of InGaN/GaN heterostructures.

To examine this effect, the InGaN/GaN heterostructures were grown using Taiyo Nippon Sanso Corporation metal-organic chemical vapor deposition (MOCVD) SR4000-HT system. The InGaN/GaN heterostructures were epitaxially grown on 3.4 µm undoped-GaN (ud-GaN) and GaN nucleation layer, respectively, over a commercial 2” c-plane flat sapphire substrate. The InGaN layers were grown at different temperature settings ranging from 860°C to 820°C in a step of 20°C. The details of structural, surface morphology and optical properties were investigated using X-ray diffraction (XRD), field emission scanning electron microscope (FE-SEM), atomic force microscopy and ultraviolet-visible (UV-Vis) spectrophotometer, respectively.

InGaN/GaN heterostructure with indium composition up to 10.9% has been successfully grown using the MOCVD technique without any phase separation detected within the sensitivity of the instrument. Indium compositions were estimated through simulation fitting of the XRD curve and calculation of Vegard’s law from UV-Vis measurement. The thickness of the structures was determined using the Swanepoel method and the FE-SEM cross-section image.

This paper report on the effect of MOCVD growth temperature on the growth process of InGaN/GaN heterostructure, which is of interest in solid-state lighting technology, especially in light-emitting diodes and solar cell application.

The COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.

The current study identifies the focus areas of the research conducted on the COVID-19 pandemic. Abstracts of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.

Based on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.

While similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

This study aims to present the first meta-analysis of the research on social entrepreneurship and socio-economic development (SESED). Nation-states, researchers and organizations realized the pivotal role of social entrepreneurship in socio-economic development in the recent two decades. The body of knowledge in this domain witnessed consistent research growth, but it still lacks a critical review to map the scholarly literature and to guide future researchers.

This study used meta-analysis that combines bibliometric and content analyzes of 83 most relevant articles from 910 initially retrieved articles from the Web of Science, published in 75 different journals and 45 countries during 2005 and 2020. The analysis was performed using Histcite, VOSviewer and Biblioshiny software to identify the most influential aspects and to conduct citation and content analyze of selected publications.

The findings showed an overall consistent growth in research publications during the past 16 years with “Social Entrepreneurship and Enterprise: International and Innovation Perspectives” as the most influential article, “Entrepreneurship and Regional Development” as the most influential journal, and the USA and the UK as the most productive countries. The keyword co-occurrence analysis exposed five thematic clusters and content analysis revealed five streams within the selected publications.

This study provides 10 research questions that urge future researchers to conduct a thorough investigation on how social entrepreneurship while solving social, cultural, environmental and community issues, contributes to socio-economic development.

This study identifies prominent trends, intellectual structure, leading research streams and specific future research directions in the field of SESED.

The paper seeks to offer a novel perspective on “deep benefit management” in inclusive business ventures at the Base‐of‐the‐Pyramid (BoP). Furthermore, it explores tensions between social impact creation and financial objectives in multinational corporations (MNCs).

The paper opts for an exploratory research design using empirical data, including an expert interview survey and expert discussions. Data is supplemented by documentary analysis, including corporate publications as well as case and impact studies. The paper applies a nested cross‐case comparison of three sustainability driven initiatives of PHILIPS Electronics.

The paper provides empirical insights on value creation for customers and partners. Findings indicate the need for “external benefit management”. In addition, MNCs can gain financial as well as non‐financial benefits by venturing at the BoP. “Internal benefit management” should consider employee engagement, reputation, and partnering capabilities. Nevertheless, results indicate conflicts between social and financial objectives to which employees respond with “social intrapreneurship”.

Due to the research methodology, results may not be generalized. Future research is encouraged to corroborate findings.

The paper develops deep benefit management as a powerful tool to plan, manage, and assess value creation in inclusive BoP ventures. Further, the paper proposes to establish protective space in MNCs to capitalize on social intrapreneurship.

This study provides an enhanced understanding of benefits of and barriers for inclusive business. Novel insights on social intrapreneurship are provided additionally.

This paper combines the literature on knowledge transfer and that on organizational behavior to analyze how perceived empowerment and perceived engagement affect knowledge transfer offices’ (KTOs’) performance, measured in terms of the number of license agreements.

The authors measured the cognitions which constitute perceived empowerment and perceived engagement through a survey sent to Italian KTOs’ professionals. The authors performed “fuzzy set qualitative analysis” to investigate if this cognition, together or in isolation, may influence KTOs’ management performance, measured by the number of license agreements.

The results highlight the role of individual cognitions in influencing KTOs’ performance. Furthermore, an important finding from the analysis of the main configurations is that the co-presence of perceived engagement and perceived empowerment leads to more license agreements only in the presence of specific individual cognitions. More precisely, the level of organizational citizenship behavior, the degree to which an individual influences results at work (degree of impact) and the value of a work goal (degree of meaning) are the cognitions which lead to a higher number of license agreements.

Despite the growing interest in the investigation of the determinants of KTOs’ performance, a relevant research gap still concerns the explanation of KTOs’ performance considering individual cognitions such as attitudes, norms, perceived behavioral control and intentions. This study looks at the combined effect of the individual cognition of perceived engagement and perceived empowerment on KTOs’ performances.

The aim of this review and of the papers in this special issue is to critically examine different approaches to teaching operations management (OM) in order to provoke and stimulate educators within the discipline.

The papers within this special issue include empirical assessments of a problem‐based learning enterprise resource planning (ERP) simulation; a computer‐based learning tool for material requirements planning (MRP); a simulation of assembly operations; an operations strategy innovation game; an extension of the production dice game; an experiential teaching method in different class settings; and problem‐based assessment methods in OM. A variety of data are used to support these empirical studies, including survey, interview, and observational data.

The papers within the special issue support the argument that OM is well‐suited to more applied methods of teaching focusing on the application of subject knowledge to real‐life situations through a variety of techniques.

It is hoped that this review and the papers within this special issue act to stimulate educators to re‐evaluate their approaches to teaching OM and encourage them to consider adopting experiential teaching methods, business simulations, role‐plays, group exercises, live cases, and virtual learning environments, instead of, or in addition to, the more conventional lectures that typically dominate many OM modules around the world.

A special issue on teaching OM appears timely given the significant changes to both the university landscape and to the nature of the discipline that we have witnessed over the last quarter of a century.

The purpose of this paper is to discuss the change in China's exchange rate regime during the 2001‐2009 period, when both the pegged and floating exchange rates were adopted in the country, offering a rare opportunity to address the issue. The effects of China's interest rate differential (IRD) and unemployment rate on the exchange rate are also discussed in this paper.

Given the economic variables are non‐stationary, this paper adopts cointegration analysis to evaluate the long‐term equilibrium in China's economy, with the unit root test, cointegrating test and a vector error correction model also used to scrutinize China' exchange rate regime for different time periods.

The time series data – including the exchange rate, IRD and unemployment rate – are used in the unit root test and Johansen test to verify the long‐term equilibrium between real exchange rate and unemployment rate in specific periods of time. Since the findings indicate no correlation between the exchange rate and IRD, it is possible to predict the value of Chinese yuan based on China's unemployment rate, but not IRD. China's government slows down the appreciation of its currency when the lagged unemployment rate is high.

The paper provides a fresh perspective on the long‐term equilibrium among China's exchange rate, IRD and unemployment by dividing the sample period into several parts, according to the exchange rate policy. The findings indicate that the unemployment rate plays an important role in China's exchange rate regime.

The purpose of this paper is to provide comprehensive mapping of qualitative comparative analysis (QCA) applications in business and management research and to examine the sub-fields of corporate governance research in this context.

Through a systematic literature review of 22 articles, the paper describes and analyses how QCA is used in the corporate governance field, what can be learned from the methodology’s implementation in corporate governance studies and why authors justify its use.

The findings highlight that QCA in corporate governance is still at an early stage of development. The paper encourages governance scholars to use this method to transform QCA from a niche into a mainstream method because it is appropriate for understanding both complex phenomena of social reality and issues of corporate governance that require an approach able to capture configurations of conditions, asymmetric patterns and equifinal explanations.

This is the first complete overview of the existing literature concerning QCA’s application in corporate governance research and reveals implications for its future use. In this way, it extends the previous work on QCA’s benefits to management researchers and other critical reviews of applications in QCA. This study encourages scholars to renew their understanding of corporate governance issues through a new analysis method that can help to discover conceptual and empirical relations among case-oriented and variable-oriented analyses in terms of interrelations to examine corporate governance practices holistically.