bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fast food investment in Barbados: the experience of McDonald’s
Authors: Young Marshall Ayanna Omodara , Walkes Alfred 
Published: September 2024

Learning outcomes
Specific teaching and learning objectives include to identify factors influencing market expansion decisions and recommend appropriate entry modes, understand factors in the international business environment that contribute to success or failure of international businesses in developing countries, evaluate strategies enabling international businesses to sustain market presence in developing countries and overcome local competition, analyze the concept of local responsiveness in international business operations and suggest strategies for internationalizing domestic companies from developing countries.

Case overview/synopsis
The McDonald’s case examines the challenges associated with market expansion by global brands. The case occurs during the early-globalization era in the 1990s. Barbados, a developing country, is the site for potential expansion. Prospective investors, the Winters, are desirous of establishing a McDonald’s in Barbados. They need to thoroughly analyze the previous experience of McDonald’s against the host country’s current international business environment, e.g. political, economic, cultural and competitive environment. This case analysis provides a framework for understanding the multifaceted reasons behind McDonald’s exit from Barbados, considering the complex interplay of political, economic, sociocultural, technological and legal factors in the international business environment. The case equips the instructor and students to explore the risks of international expansion, particularly in developing country markets. The case study on McDonald’s failure in Barbados highlights the need to thoroughly examine one’s market entry strategy and available information on the host market and be more locally responsive regarding tastes and preferences. The case study also presents essential lessons for firms and planners from developing countries. Local firms innovated and enhanced their operations in response to the threat from the entry of the global fast-food giant. Yet, they did not seek to internationalize once McDonald’s exited the Barbadian market. The case study, therefore, considers strategies firms from developing countries could utilize to penetrate markets from developed countries.

Complexity academic level
At the undergraduate level, the McDonald’s Barbados case can be used in international business classes to highlight risks in the international business environment and the need for a carefully planned and executed market entry strategy.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS5: International Business.
Talent management practices and the influence of their use on employee outcomes via perceived career growth
Authors: Aljbour Amro , Ali Muhammad , French Erica 
Published: September 2024

PurposeTalent management can provide an organization with a competitive advantage. However, little is known about how human resource practices pertaining to talent management drive positive outcomes. Drawing on social exchange theory, this study investigates the effect of talent management practices usage on employee commitment and intention to leave. Integrating social exchange theory and the theory of met expectations facilitated predicting the mediating role of perceived career growth in the talent management practices usage-employee outcomes relationship.Design/methodology/approachData were collected using a survey from 268 employees from eight organizations from the financial and services industries in Jordan.FindingsTalent management practices usage has a significant direct positive effect on employee commitment but no direct effect on employees’ intention to leave. Further, there is pioneering evidence that perceived career growth mediates the following relationships: talent management practices usage and commitment and talent management practices usage and intention to leave.Originality/valueThe study provides unprecedented evidence of the effect of TM practices usage on employee outcomes and the role of perceived career growth in the TM practices usage-employee outcomes relationship from an underexplored context of Jordon. Our research results contribute to theory development in TM by supporting, extending and integrating social exchange theory and the theory of met expectations.
Intersectional analysis of the labour market impacts of COVID on women with young children and in low-skilled jobs
Authors: Fang Tony , Gunderson Morley , Ha Viet , Ming Hui 
Published: September 2024

PurposeThis paper analyzes the differential experiences of women in the Canadian labour market who hold lower-skilled jobs and have school-age children during two waves of Covid compared with more typical conditions pre-pandemic. The article seeks to test the hypothesis that workers at the intersection of womanhood, motherhood and precarious employment would endure even more disadvantageous labour market outcomes during the Covid pandemic than they did prior to it.Design/methodology/approachWe employ a Gender-Based Plus (GBA+) and intersectionality lens to examine the differential effect of Covid on the effect of the trifecta of being a woman in a lower-skilled job and facing a motherhood penalty from school-age children. We use a Difference-in-Difference framework with Canadian Labour Force Survey (LFS) data to examine the differential effect of two waves of Covid on three labour market outcomes: employment, hours worked and hourly wages.FindingsWe find that being a woman in a lower-skilled job with school-age children is associated with lower employment, hours worked and wages in normal times compared to males in those same situations. Such women also face the most severe adjustment consequence from the Covid shock, with that adjustment concentrated on the margin of employment and restricted to the First Wave and not the subsequent Omicron Wave.Originality/valueThe paper studies a specific intersectional group, assesses pre-pandemic, peak-pandemic and late-pandemic differences in labour market outcomes and runs separate estimations for different job skill levels. We also study a more comprehensive list of labour market outcomes than most studies of a similar nature.
Effective mentoring strategies to support underrepresented students during a virtual summer research experience for engineering education undergraduates
Authors: Volpe Elizabeth S. , Simmons Denise R. , Mondisa Joi-Lynn , Rojas Sara 
Published: September 2024

PurposeIn this study, students’ perceptions of the effective practices of their research mentors were examined. The research mentors implemented the practices informed by the Center for the Improvement of Mentored Experiences in Research (CIMER) mentorship competencies to mentor underrepresented students in engineering education research in a virtual environment.Design/methodology/approachThis research experience for undergraduates (REU) program, situated in the United States of America, consisted of undergraduate students (i.e. mentees), graduate students and faculty mentors who all had at least one underrepresented identity in engineering (i.e. Black, Latiné/x, and/or women). Using qualitative methods, we used data from reflection surveys and follow-up interviews with REU mentees to understand the outcomes of the mentorship strategies employed by the mentors in the program. The data were analyzed thematically using CIMER model constructs and social capital theory as guiding frameworks.FindingsThe results indicated the identified strategies students perceived as the most impactful for mentorship throughout the program. Students in the REU gained knowledge on how to activate social capital in mentorship relationships and how to better mentor others.Research limitations/implicationsThe findings provide insight on how to operationalize the CIMER mentorship competencies to skillfully mentor underrepresented students in engineering. Given the size of the REU and the nature of qualitative research, the sample size was limited.Practical implicationsThe results help inform mentorship practices for underrepresented individuals in engineering education and the workforce. Further, they add to the practical knowledge of implementing CIMER best practices virtually, at a time when the world has transitioned to more hybrid and virtual working and learning environments.Originality/valueThis study identifies impactful strategies for operationalizing mentorship strategies informed by theory- and evidence-based CIMER mentorship competencies. In addition, this study extends knowledge about how to implement mentoring best practices and engage mentorship in a virtual environment.
Operational excellence in total productive maintenance: statistical reliability as support for planned maintenance pillar
Authors: Mohad Felipe Terra , Gomes Leonardo de Carvalho , Tortorella Guilherme da Luz , Lermen Fernando Henrique 
Published: September 2024

PurposeTotal productive maintenance consists of strategies and procedures that aim to guarantee the entire functioning of machines in a production process so that production is not interrupted and no loss of quality in the final product occurs. Planned maintenance is one of the eight pillars of total productive maintenance, a set of tools considered essential to ensure equipment reliability and availability, reduce unplanned stoppage and increase productivity. This study aims to analyze the influence of statistical reliability on the performance of such a pillar.Design/methodology/approachIn this study, we utilized a multi-method approach to rigorously examine the impact of statistical reliability on the planned maintenance pillar within total productive maintenance. Our methodology combined a detailed statistical analysis of maintenance data with advanced reliability modeling, specifically employing Weibull distribution to analyze failure patterns. Additionally, we integrated qualitative insights gathered through semi-structured interviews with the maintenance team, enhancing the depth of our analysis. The case study, conducted in a fertilizer granulation plant, focused on a critical failure in the granulator pillow block bearing, providing a comprehensive perspective on the practical application of statistical reliability within total productive maintenance; and not presupposing statistical reliability is the solution over more effective methods for the case.FindingsOur findings reveal that the integration of statistical reliability within the planned maintenance pillar significantly enhances predictive maintenance capabilities, leading to more accurate forecasts of equipment failure modes. The Weibull analysis of the granulator pillow block bearing indicated a mean time between failures of 191.3 days, providing support for optimizing maintenance schedules. Moreover, the qualitative insights from the maintenance team highlighted the operational benefits of our approach, such as improved resource allocation and the need for specialized training. These results demonstrate the practical impact of statistical reliability in preventing unplanned downtimes and informing strategic decisions in maintenance planning, thereby emphasizing the importance of your work in the field.Originality/valueIn terms of the originality and practicality of this study, we emphasize the significant findings that underscore the positive influence of using statistical reliability in conjunction with the planned maintenance pillar. This approach can be instrumental in designing and enhancing component preventive maintenance plans. Furthermore, it can effectively manage equipment failure modes and monitor their useful life, providing valuable insights for professionals in total productive maintenance.
Fun, experience or education? Learning efficiency – virtual reality lesson vs traditional lesson
Authors: Brylska Karolina , Gackowski Tomasz , Kwiatkowska Anita , Dudziak-Kisio Martyna 
Published: September 2024

PurposeThe aim of the article was to compare the learning outcomes of the same content in the form of a traditional analogue lesson and in the form of a virtual reality (VR) lesson with the use of head-mounted display (HMD).Design/methodology/approachThe study included one biology lesson conducted in 4 groups of a dozen people and one biology lesson in VR carried out individually on 75 people. The respondents completed the knowledge test, a questionnaire before and after the class regarding the attitude to new technologies, and feelings after the lesson. The researchers used detailed observation sheets (subjects' behaviour and the dynamics of the lesson). The obtained results were analysed statistically through lesson type (traditional/VR), respondent type (technology enthusiast/non-enthusiast) and question type. The Mann–Whitney U test, t-student and chi-squared (?²) test were used.FindingsThe average of the overall results in the knowledge test was similar in both groups (16 points; ±SD 2.13), slightly better for the analogue group and for the non-enthusiast group. It was found that VR hinders the acquisition of knowledge by tech enthusiasts, who perceive it primarily in the play paradigm. However, it encourages the learning of technology sceptics, who quickly discover a passion for exploring the virtual world. It was clearly indicated, quantitatively and qualitatively, how the technology modalities directly influenced the learning outcomes.Originality/valueThe article offers fresh insights into how students' perceptions of the educational process can be transformed through the integration of VR. The compelling findings and nuanced analysis provide a robust foundation for exploring new frontiers in educational technology.
Optimizing Nd: YAG laser cutting of carbon fiber reinforcing polymer with newly developed resin using Taguchi-GRA approach and machine learning integration
Authors: Desai Ashish Arunrao , Khan Subim 
Published: September 2024

PurposeThe investigation aims to improve Nd: YAG laser technology for precision cutting of carbon fiber reinforcing polymers (CFRPs), specifically those containing newly created resin (NDR) from the polyethylene and polyurea group, is the goal of the study. The focus is on showing how Nd: YAG lasers may be used to precisely cut CFRP with NDR materials, emphasizing how useful they are for creating intricate and long-lasting components.Design/methodology/approachThe study employs a systematic approach that includes complicated factorial designs, Taguchi L27 orthogonal array trials, Gray relational analysis (GRA) and machine learning predictions. The effects of laser cutting factors on CFRP with NDR geometry are investigated experimentally, with the goal of optimizing the cutting process for greater quality and efficiency. The approach employs data-driven decision-making with GRA, which improves cut quality and manufacturing efficiency while producing high-quality CFRP composites. Integration of machine learning models into the optimization process significantly boosts the precision and cost-effectiveness of laser cutting operations for CFRP materials.FindingsThe work uses Taguchi L27 orthogonal array trials for systematically explore the effects of specified parameters on CFRP cutting. The cutting process is then optimized using GRA, which identifies influential elements and determines the ideal parameter combination. In this paper, initially machining parameters are established at level L3P3C3A2, and the optimal machining parameters are determined to be at levels L3P2C3A3 and L3P2C1A2, based on predictions and experimental results. Furthermore, the study uses machine learning prediction models to continuously update and optimize kerf parameters, resulting in high-quality cuts at a lower cost. Overall, the study presents a holistic method to optimize CFRP cutting processes employing sophisticated techniques such as GRA and machine learning, resulting in better quality and efficiency in manufacturing operations.Originality/valueThe novel concept is in precisely measuring the kerf width and deviation in CFRP samples of NDR using sophisticated imaging techniques like SEM, which improves analysis and precision. The newly produced resin from the polyethylene and polyurea group with carbon fiber offers a more precise and comprehensive understanding of the material's behavior under different cutting settings, which makes it novel for kerf width and kerf deviation in their studies. To optimize laser cutting settings in real time while considering laser machining conditions, the study incorporates material insights into machine learning models.
Revitalizing a community college library: aggressive weeding’s impact of circulation statistics
Authors: Becker Kristen L. 
Published: September 2024

PurposeAggressive weeding in academic libraries is becoming more commonplace as colleges seek to create student-centered environments and space is at a premium. For one community college in the Southwest United States, several factors required the library to proactively weed its collection within three years. At the same time, the library sought to maintain the circulation of its physical books.Design/methodology/approachUpdating the library’s collection development policy to include robust selection and weeding criteria allowed the library to embark on a revitalization project to remove thousands of outdated or unused items, resulting in a net loss of nearly 32,000 books.FindingsThe loss of more than half of the general collection had an unforeseen consequence – a 70% increase in circulation statistics during the three-year deselection project. The case study's results highlight the need for continual maintenance of academic library collections.Originality/valueThe case study is original and not published elsewhere.
Research on electron beam irradiation in the multiscale structure of starch and its related applications: A review
Authors: Liang Danyang , Liang Wei , Luo Haiyu , Liu Qing , Temirlan Khamiddolov , Li Wenhao 
Published: September 2024

AbstractElectron beam irradiation (EBI), as a typical “green” emerging technology, can effectively alter the functional properties of starch by influencing its microstructure. This alteration enables starch to meet the current demands of consumers and the market for “health food.” This paper reviews studies on modifying various starches using EBI and describes the changes in microstructure, physicochemical properties, and functional properties induced by this method. Additionally, the effects of EBI on starch‐containing food products are discussed, along with issues to be addressed and research gaps in the synergistic treatment of modified starch. It is noted that the source, irradiation dose, and irradiation time all influence the effectiveness of starch modification. Given the characteristics of EBI technology, integrating physical, chemical, and biological modification methods can optimize the modification process and enhance efficiency. This technology can potentially diversify modified starch varieties and expand their applications. Furthermore, there remains significant research potential in producing modified starch using EBI technology and applying it to the food industry.
A comprehensive review on freeze‐induced deterioration of frozen egg yolks: Freezing behaviors, gelation mechanisms, and control techniques
Authors: Chi Yujie , Ma Zihong , Wang Ruihong , Chi Yuan 
Published: September 2024

AbstractOver the years, the production of eggs has increased tremendously, with an estimated global egg production of 9.7 billion by 2050. Further processing of shell eggs to egg products has gained growing popularity. Liquid egg yolks, an innovative form of egg replacement, still suffer from short shelf‐life issues, and freezing has been applied to maintain freshness. An undesirable phenomenon called “gelation” was found during the production of frozen egg yolks, which has attracted numerous scholars to study its mechanism and quality control methods. Therefore, we comprehensively reviewed the history of the studies on frozen egg yolks, including the production procedure, the fundamentals of freezing, the gelation mechanism, the factors affecting gelation behaviors, and the techniques to control the gelation behaviors of frozen egg yolks. Reporting the production procedure and freezing fundamentals of frozen egg yolks will give readers a better understanding of the science and technological aspects of frozen egg yolks. Furthermore, a comprehensive summary of the mechanism of egg yolk gel formation induced by freeze–thawing and relevant control techniques will provide insights to researchers and manufacturers in the field of frozen egg processing.
Managing the microbiological safety of tilapia from farm to consumer
Authors: Ndraha Nodali , Lin Hung‐Yun , Hsiao Hsin‐I , Lin Han‐Jia 
Published: September 2024

AbstractTilapia stands out as one of the most extensively farmed and consumed fish species globally, valued for its ease of preparation and relative affordability. Although tilapia is a valuable protein source, it can also function as a vector for foodborne pathogens. This literature review reveals that tilapia could carry a variety of contamination with various foodborne pathogens, including Plesiomonas shigelloides, diarrheagenic Escherichia coli, Vibrio parahaemolyticus, Salmonella Weltevreden, Salmonella enterica, Shigella, Staphylococcus aureus, Campylobacter jejuni, Clostridium botulinum, and Listeria monocytogenes. Although guidelines from entities, such as the Global Seafood Alliance, Aquaculture Stewardship Council, and International Organization for Standardization, have been established to ensure the microbiological safety of tilapia, the unique challenges posed by pathogens in tilapia farming call for a more nuanced and targeted approach. Recognizing that contaminants could emerge at various stages of the tilapia supply chain, there is a crucial need for enhanced detection and monitoring of pathogens associated with this fish and its culturing environment. Additionally, it is essential to acknowledge the potential impact of climate change on the safety of tilapia, which may elevate the prevalence and contamination levels of pathogens in this fish. Proactive measures are essential to understand and mitigate the effects of climate change on tilapia production, ensuring the sustainability and safety of this seafood product for both present and future generations.