bluuebunny/crossref_metadata_2025_split huggingface dataset:
Creative research with indigenous women: challenging marginalisation through collective spaces and livelihoods practices
Authors: Armijos M. Teresa , Ramirez Loaiza Viviana 
Published: September 2024

PurposeIn this paper we ask: “What are the opportunities and challenges that creative methods pose in terms of conducting research processes with indigenous peoples impacted by emergencies and disasters?” To do that, we critically examine the creative and collaborative methodological approaches applied in the research project, Moving with Risk: Forced Displacement and Vulnerability in Colombia. This project sought to understand the trajectories of risk of families who were forcibly displaced as a result of the armed conflict in Colombia and resettled in areas at risk of disaster.Design/methodology/approachThis article is intentionally written from the perspective of the researchers’ positionality. In doing so, we embrace writing that is situated and embodied in the researcher’s experiences and positionalities. This reflexive writing allows us to question the methodological experience of the research project we are analysing and, at the same time, ourselves, “the researchers” be questioned by it.FindingsIn this paper, we show how creative methods and participatory research can foster awareness and become the basis for inclusive and reciprocal research processes with indigenous communities in disaster studies. Specifically, we show that the use of creative methods helped us recognise that agency needs to be framed in collective spaces with the indigenous women we were working with and in relation to their livelihoods needs. We argue that finding spaces to conduct collaborative research and recognize agency is inextricably related to how the researchers reflect on their positionality.Originality/valueThis article contributes to critical perspectives in Disaster Studies and to an overall understanding of the role that creative methodologies play in research processes with people affected by disasters. It provides a novel perspective on the opportunities and challenges of applying arts-based methods in disaster risk studies with indigenous communities in Latin America.
AgriVijay’s social venture: balancing growth and social mission beyond the incubation horizon
Authors: Rai Soumi , Mukherjee Shreya 
Published: September 2024

Learning outcomes
The case study aims to help students/learners to analyse the role of perception and its linkage to an entrepreneur’s decision-making process in setting up a social entrepreneurship venture during the COVID-19 pandemic without any prior entrepreneurial experience; understand the definition and meaning of social enterprises based on concepts/theories of social entrepreneurship; identify if AgriVijay fits the outline of a social enterprise based on its vision, challenges faced and journey as an agriculture-based technology-oriented social venture (AgTech SE); and outline the future path of AgriVijay as an independent business (post its incubation support period) using suitable strategy and funding models related to for-profit social enterprises.

Case overview/synopsis
This case study details the fascinating journey of a social AgTech venture – AgriVijay – through the perspectives of the protagonist Vimal Panjwani, a budding agri-business entrepreneur. Fuelled by a desire to empower the farming communities, Panjwani with the support of his dynamic mother, Shobha Chanchlani, embarked on the challenging task of crafting a business model that sought to merge community welfare with profitable enterprise. The case study illuminates the protagonist's background, revealing Panjwani’s motivations, risk-taking tendencies and the pivotal role played by his co-partner and mother, Chanchlani. It also highlights the challenges encountered by the protagonist in setting up a technology-based social entrepreneurship venture along with its success in making a social impact across marginalised farming communities. Through all this, the case study also highlights the major dilemma of the protagonist – that of continuing to balance AgriVijay’s core mission of “empowering the farmers” with profitability and long-term growth beyond its limited incubation support period, and his own dilemma of venturing into a social enterprise as a start-up venture without any prior entrepreneurial experience. The case study through its narrative encourages the readers/learners to understand the evolving dynamics of a nascent social entrepreneurial venture in a developing economy and how such a balanced model can actually be the harbinger of social impact and change in similar economies with large rural farming and marginalised communities.

Complexity academic level
The case study is most suitable for postgraduate management, weekend executive learning or distance learning students in agri business, sustainable business, social entrepreneurship and allied management domains. It can be used for teaching and learning topics related to entrepreneurship, new venture strategy, leadership and motivation, with a specific focus on agriculture business, agricultural entrepreneurship, social entrepreneurship and sustainable ventures.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 3: Entrepreneurship.
Technology and service quality: achieving insurance industry customer satisfaction and loyalty under crisis conditions
Authors: Skaf Yahya , Eid Charbel , Thrassou Alkis , El Nemar Sam , Rebeiz Karim S. 
Published: September 2024

PurposeThis research addresses the critical challenge of fostering customer loyalty within the highly competitive landscape of the insurance industry. The study investigates the interplay between customer satisfaction, loyalty, and the influence of technology and service quality in the context of insurance services and in periods of crisis.Design/methodology/approachA quantitative research approach was employed, utilizing a structured questionnaire distributed among diverse insurance customers in Lebanon during crisis conditions. The data were analyzed using SPSS-Amos, incorporating descriptive statistics, correlation analysis, and structural equation modeling (SEM).FindingsThis research emphasizes the crucial role of customer satisfaction in fostering loyalty in the insurance sector, especially during crises. High satisfaction levels, influenced by user-friendly online platforms, positively correlate with increased customer loyalty. Technology plays a vital role in maintaining and improving satisfaction, making it a key driver during challenging times. Positive interactions between service quality and satisfaction further highlight the multifaceted impact of technology on shaping customer loyalty.Practical implicationsThe research findings provide valuable insights with practical implications for insurers aiming to boost customer loyalty. The study recommends strategic investments in critical areas like claims processing, customer service, communication strategies, digitalization initiatives, and employee training. The study provides insights applicable particularly to insurance companies navigating crisis conditions.Originality/valueThis research contributes both to academic understanding and practical applications by shedding light on the distinctive challenges and opportunities faced by insurers in cultivating customer loyalty within the insurance industry during crisis. The elucidations provided serve as a foundation for developing targeted strategies to address these challenges and to leverage opportunities for enhanced customer loyalty.
Comparative analysis of aggregate and sectoral time-varying market efficiency in the Russian stock market during the COVID-19 outbreak and the Russia–Ukraine conflict (RUC)
Authors: Rehan Muhammad , Alvi Jahanzaib , Lakhani Umair 
Published: September 2024

PurposeThe primary purpose of this research is to identify and compare the multifractal behavior of different sectors during these crises and analyze their implications on market efficiency.Design/methodology/approachWe used multifractal detrended fluctuation analysis (MF-DFA) to analyze stock returns from various sectors of the Moscow Stock Exchange (MOEX) in between two significant periods. The COVID-19 pandemic (January 1, 2020, to December 31, 2021) and the Russia–Ukraine conflict (RUC) (January 1, 2022, to June 30, 2023). This method witnesses multifractality in financial time series data and tests the persistency and efficiency levels of each sector to provide meaningful insights.FindingsResults showcased persistent multifractal behavior across all sectors in between the COVID-19 pandemic and the RUC, spotting heightened arbitrage opportunities in the MOEX. The pandemic reported a greater speculative behavior, with the telecommunication and oil and gas sectors exhibiting reduced efficiency, recommending abnormal return potential. In contrast, financials and metals and mining sectors displayed increased efficiency, witnessing strong economic performance. Findings may enhance understanding of market dynamics during crises and provide strategic insights for the MOEX’s investors.Practical implicationsUnderstanding the multifractal properties and efficiency of different sectors during crisis periods is of paramount importance for investors and policymakers. The identified arbitrage opportunities and efficiency variations can aid investors in optimizing their investment strategies during such critical market conditions. Policymakers can also leverage these insights to implement measures that bolster economic stability and development during crisis periods.Originality/valueThis research contributes to the existing body of knowledge by providing a comprehensive analysis of multifractal properties and efficiency in the context of the MOEX during two major crises. The application of MF-DFA to sectoral stock returns during these events adds originality to the study. The findings offer valuable implications for practitioners, researchers and policymakers seeking to navigate financial markets during turbulent times and enhance overall market resilience.
Unveiling the impact of remittances on productive efficiencies: investigating productivity growth of prominent remittance-receiving developing nations
Authors: Verma Balraj , Bhardwaj Mandeep , Arora Sugandh , Oberoi Sumit 
Published: September 2024

PurposeThe present study reviews the theoretical and empirical literature about the significance of international migrants' remittance to empirically analyse the effect of remittance on the productivity growth of developing countries using a panel dataset from 1991 to 2021.Design/methodology/approachThe study utilised the data envelopment analysis (DEA)-based Malmquist Productivity Index (MPI) to measure nationwide production efficiencies. It first performed a unit root test, cointegration test and pool mean group autoregressive distributed lag (PMG-ARDL) technique. To assess the robustness of the findings, the study also uses dynamic ordinary least squares (DOLS) and fully modified OLS (FMOLS) estimators.FindingsThe results demonstrated that remittances are a significant source of funding that promotes innovation [i.e. technological progress (TEC)] and hastens the country's total factor productivity (TFP) growth. However, the study needed to have established the effect of inward remittances on the nation's technical efficiency (EFF).Research limitations/implicationsAs remittances encourage innovation and TFP growth (TFPG), the concerned governments must create favourable and enabling economic environments to increase remittance inflows, which will have far-reaching growth repercussions.Originality/valueThe present study emphasises the connection between remittances and productivity growth, the disintegration of TFP, advanced econometric techniques and contribution to research policy. Despite prior literature exploring the effect of remittances on economic growth, a dearth of literature exists on how remittances affect a country's productivity. The output-based MPI methodology used in this study offered a nuanced understanding of how remittances affect many facets of productivity growth in developing nations.
Process mining-enhanced quality management in food processing industries
Authors: Loacker Philipp , Pöchtrager Siegfried , Fikar Christian , Grenzfurtner Wolfgang 
Published: September 2024

PurposeThe purpose of this study is to present a methodical procedure on how to prepare event logs and analyse them through process mining, statistics and visualisations. The aim is to derive roots and patterns of quality deviations and non-conforming finished products as well as best practice facilitating employee training in the food processing industry. Thereby, a key focus is on recognising tacit knowledge hidden in event logs to improve quality processes.Design/methodology/approachThis study applied process mining to detect root causes of quality deviations in operational process of food production. In addition, a data-ecosystem was developed which illustrates a continuous improvement feedback loop and serves as a role model for other applications in the food processing industry. The approach was applied to a real-case study in the processed cheese industry.FindingsThe findings revealed practical and conceptional contributions which can be used to continuously improve quality management (QM) in food processing. Thereby, the developed data-ecosystem supports production and QM in the decision-making processes. The findings of the analysis are a valuable basis to enhance operational processes, aiming to prevent quality deviations and non-conforming finished products.Originality/valueProcess mining is still rarely used in the food industry. Thereby, the proposed method helps to identify tacit knowledge in the food processing industry, which was shown by the framework for the preparation of event logs and the data ecosystem.
Content validation of the nursing diagnosis “Insufficient breast milk production (00216)”
Authors: Almeida‐Hamasaki Beatriz Pera , Ribeiro Bruna Cristina , Emidio Suellen Cristina Dias , Bordignon Simoní Saraiva , Jones Dorothy A. , Carmona Elenice Valentim 
Published: September 2024

AbstractPurposeTo review and validate the elements of the nursing diagnosis (ND) “Insufficient breast milk production” (00216) based on the literature and expert consensus, and to construct operational definitions (ODs) for its defining characteristics (DCs).MethodsIt is a methodological study carried out in two phases. In the first phase, a scoping review was conducted, and in the second, a committee of experts reviewed the elements’ content. Items with a Content Validity Index ≥0.8 were validated for relevance, clarity, and precision. Discussions were conducted until a consensus was reached on all items and criteria evaluated. The Ethics Committee approved the study.FindingsThe final scoping review sample consisted of 61 articles, and 19 experts evaluated the content of the ND. All DCs were revised. Three at‐risk populations, three associated conditions, and one related factor were added. Three elements had their category changed, and an element was deleted. Experts also validated ODs developed for all DCs.Conclusion“Insufficient breast milk production (00216)” was validated by experts. This study improved the ND through literature and expert consensus. New elements were added, and existing ones were revised.Implications for Nursing PracticeThis study improves this ND based on scientific evidence and clinical expertise and potentially improves nurses’ diagnostic accuracy through ODs.
Can the male germline offer insight into mammalian brain size expansion?
Authors: Bush Stephen J. , Goriely Anne 
Published: September 2024

AbstractRecent advances in single‐cell transcriptomic data have greatly expanded our understanding of both spermatogenesis and the molecular mechanisms of male infertility. However, this growing wealth of data could also shed light on a seemingly unrelated biological problem: the genetic basis of mammalian brain size expansion throughout evolution. It is now increasingly recognized that the testis and brain share many cellular and molecular similarities including pivotal roles for the RAS/MAPK and PI3K/AKT/mTOR pathways, mutations in which are known to have a pronounced impact on cell proliferation. Most notably, in the stem cell lineages of both organs, new mutations have been shown to increase cellular output over time. These include ‘selfish’ mutations in spermatogonial stem cells, which disproportionately increase the proportion of mutant sperm, and—to draw a parallel—human‐specific mutations in neural stem cells which, by increasing the number of neurons, have been implicated in neocortical expansion. Here we speculate that the origin for many ‘expansion’‐associated mutations is the male germline and that as such, a deeper understanding of the mechanisms controlling testicular turnover may yield fresh insight into the biology and evolution of the brain.
Competition in the labor market: The wage effect of employer concentration in China
Authors: Liu Jianan , Cai Hongbo , Lin Carl 
Published: September 2024

AbstractCompetition in the labor market theoretically leads to higher wages, yet empirical evidence to substantiate it, particularly in developing countries, has been sparse. Our study delves into the impact of increased competition in the labor market on workers' wages using a panel dataset from Chinese industrial firms spanning 1998 to 2013. Employing OLS and IV regressions, we demonstrate that a decrease in employer concentration is significantly linked to higher wages. The elasticities of employer concentration on wages fall within the range of −0.034 and −0.107. Additionally, our findings suggest that state‐owned enterprises gained the most from this upswing in competition, primarily due to restructuring. Furthermore, we demonstrate that total factor productivity serves as an important channel linking employer concentration to wages.
The neuronal signature of surprised facial expression processing under different attentional focuses: A time‐domain and time‐frequency study
Authors: Lin Huiyan , Liang Jiafeng 
Published: September 2024

AbstractPrevious studies have shown that high‐arousal positive and negative facial expressions influence event‐related potential (ERP) and time‐frequency responses depending on attentional focuses. However, little is known about how relevant neural responses are influenced by surprised facial expressions, which are also high in arousal but ambiguous in valence. To address the issue, 38 participants were presented with surprised, happy, angry and neutral facial expressions. Attention was manipulated to focus on facial emotional attributes, facial non‐emotional attributes, non‐facial attributes, or was free to the participants. ERP results showed larger N170 responses to surprised compared to neutral facial expressions when attention focused on facial attributes and to surprised compared to angry and neutral facial expressions when attention focused on facial non‐emotional attributes. Time‐frequency analyses revealed reduced power of early occipital theta to surprised compared to happy and angry expressions when attention focused on facial emotions and to surprised compared to angry expressions when attention focused on non‐facial stimuli. Parietal delta power was smaller for surprised facial expressions than for angry facial expressions when attention focused on facial emotions and for surprised facial expressions than for angry and neutral facial expressions when attention was directed to non‐facial stimuli. These findings might suggest that neural responses to surprised facial expressions are modulated by attentional focus.
Validity and reliability of the Mobile Toolbox Faces and Names memory test
Authors: Rentz Dorene M. , Slotkin Jerry , Kaat Aaron J. , Young Stephanie Ruth , Dworak Elizabeth M. , Shono Yusuke , Adam Hubert , Nowinski Cindy J. , Pila Sarah , Novack Miriam A. , Hosseinian Zahra , Amagai Saki , Diaz Maria Varela , Almonte‐Correa Anyelo , Alperin Keith , Camacho Monica R. , Landavazo Bernard , Nosheny Rachel L. , Weiner Michael W. , Gershon Richard C. 
Published: September 2024

AbstractValidation of the Mobile Toolbox Faces and Names associative memory test is presented. Ninety‐two participants self‐administered Faces and Names in‐person; 956 self‐administered Faces and Names remotely but took convergent measures in person; and 123 self‐administered Faces and Names remotely twice, 14 days apart. Internal consistency (.76–.79) and test–retest reliability (ICC = .73) were acceptable. Convergent validity with WMS‐IV Verbal Paired Associates was satisfactory (immediate .54; delayed .58). The findings suggest the remotely administered Faces and Names is a reliable instrument.
Real‐World Clinical Experience With an Allograft Adipose Matrix for Replacing Volume Loss in Face, Hands, and Body
Authors: Gold Michael , Biesman Brian , Cohen Joel , Day Doris , Goldberg David , Guénin Sophie , Lain Ted , Schlesinger Todd , Shamban Ava , Chilukuri Suneel 
Published: September 2024

ABSTRACTIntroductionReal‐world experience using an allograft adipose matrix (AAM) (Renuva) is presented as a series of seven cases demonstrating successful use of the matrix by nine expert cosmetic physicians across the United States. AAM is donated tissue that is aseptically processed without terminal irradiation into a transplantable adipose matrix that functions as a natural, versatile, and nonimmunogenic cushioning and volume‐restoring tissue. When injected, the adipose matrix is replaced with the body's own fat cells and provides the cellular scaffold required for volume restoration and retention.MethodsNine expert dermatologists were selected to share and discuss real‐world patient cases using AAM. The experts discussed a variety of cases and selected 7 cases that demonstrated successful, novel use of AAM to present in this manuscript.ResultsExperts agreed that the novel AAM is an easy‐to‐use, effective, and safe alternative to traditional fillers and fat grafting.ConclusionThe use of the AAM is recommended for the face, hands, and other adipose tissue‐containing parts of the body. The presented real‐world cases provide guidance on how to identify ideal candidates to ensure optimal volume restoration results.