bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interval-valued optimal control strategies for vaccine distribution and infection awareness investment in preservation technology
Authors: Dwivedi Vinita , Khedlekar Uttam Kumar 
Published: January 2025

Purpose
This study aims to explore the global threat of diseases that affect people, such as diarrheal, Hepatitis B, Rotavirus, Measles diseases, emphasizing the integration of disease vaccines into immunization programs globally as recommended by the World Health Organization, resulting in significant case reductions.

Design/methodology/approach
Notably, it stresses the necessity of raising awareness about diseases and vaccines through promotional efforts alongside effective inventory management because of vaccine perishability, highlighting preservation techniques and cold storage. Addressing environmental concerns, including carbon emissions from vaccine deterioration, the study proposes green technology investments aligned with Sustainable Development Goals to mitigate these impacts. Additionally, advanced optimization algorithms, including ant colony, modified flower pollination, cuckoo search and particle swarm optimization algorithms, are used to optimize pricing, preservation strategies, green investments and replenishment schedules. The research also uses the concept of interval values to enhance the robustness of the optimization framework. Through numerical experiments, the study demonstrates the effectiveness of this dynamic investment approach, providing empirical validation.

Findings
Furthermore, sensitivity analysis on critical parameters yields valuable insights for decision-makers, underscoring the importance of dynamically managing vaccine inventory. The study offers practical solutions and managerial insights that can inform policy decisions and strategic planning in disease response efforts.

Originality/value
This study concludes by emphasizing how creative green technology approaches can help decision-makers manage the social and environmental effects of vaccine inventories in the health care of people.
The impact of corporate social responsibility on educational management: evidence from learner tendencies
Authors: Bolortuya Purev , Weida He , Arrive Jean Tsitaire , Getele Gutama Kusse 
Published: January 2025

Purpose
This study aims to examine the determinants of corporate social responsibility (CSR) in Chinese higher education institutions.

Design/methodology/approach
Using a sample of 352 students, this research uses partial least squares structural equation modeling to examine how educational aspects impact students’ choice of university selection in Chinese higher education institutions through the mediating role of CSR.

Findings
The empirical results indicate that educational aspects weakly influence students’ choice of university selection. In addition, the study confirms that CSR plays a significant mediating role, demonstrating a positive relationship between educational aspects and students’ university selection. This study sheds light on the relationship between educational aspects and students’ choice of university selection, highlighting the substantial impact of CSR as a mediator.

Originality/value
This research contributes novel perspectives on CSR integration with a focus on education for sustainable development, enriching the existing literature on CSR in higher education. By categorizing CSR into Carroll’s pyramid, this study reveals how factors related to education can, directly and indirectly, influence students’ university choices through CSR in Chinese higher education institutions. The findings suggest that Chinese higher education institutions can enhance student enrollment by innovating their educational aspects and CSR practices.
Investigating deaths of people with autistic spectrum disorder in health and social care in England and Wales
Authors: Norris Dana , Baker David , Richards Georgia C. 
Published: January 2025

Purpose
This paper aims to examine the trends identified in inquests conducted in the Coronial system in England and Wales for individuals formally diagnosed with autism spectrum disorder (ASD), where the death occurred within a health or social care setting.

Design/methodology/approach
It uses data from 42 reports to prevent future deaths (PFDs) issued by Coroners to establish where and in what contexts each death occurred. PFDs are sent to organisations that Coroners believe could act to PFDs.

Findings
The research identified four key findings. Firstly, 33% of the deaths identified were not recorded as suicides, marking a clear departure from the extant literature on this issue. Secondly, data highlighted a lack of training and education of staff to understand the complexity of autism. Thirdly, this lack of understanding was often compounded by a lack of specialist provision for people with ASD. Fourthly, Coroners attributed a number of deaths to an individual’s autism, which served to some extent to mask the failures of the agencies involved in the care of the decedent.

Originality/value
There is limited research available about the preventable deaths of individuals with ASD in health and social care settings. This paper makes an initial step in highlighting significant structural failures that can lead to preventable deaths.
A holistic bibliometric review of teachers’ ICT competence research in higher education
Authors: Jiangmei Shu , Ghasemy Majid 
Published: January 2025

PurposeThe purposes of this study are fourfold: (1) to explore the state of ICT competency framework for teachers in higher education, (2) to identify general themes and trends in publications, key publication resources, authors, affiliations and countries in the domain of teachers’ ICT competence in higher education, (3) to investigate the relationships among author keywords to understand the interconnectedness within the research on teachers’ ICT competence in higher education and (4) to investigate the thematic evolution of author keywords to better understand the current situation and future research trends.Design/methodology/approachThis study details the bibliometric methodology used in terms of performance analysis and thematic evolution of author keywords and reports the results of systematically analyzing 275 Scopus-indexed publications on teachers’ ICT competence and ICT competency framework for teachers in higher education from July 25th, 2008 to June 7th, 2024.FindingsThe results of this bibliometric review paper show that the synthesized teachers’ ICT competency framework offers greater flexibility and enables other HEIs (higher education institutes) to contextualize these standards for developing teachers’ ICT competence based on their specific needs. Moreover, the rigorous bibliometric analysis reveals increasing trends in exploring higher education teachers’ ICT competence, driven by the growing integration of ICT into educational practices. Additionally, the thematic evolution of author keywords illuminates emerging research themes such as ICT competence and distance learning, which provides valuable and novel insights into the current and future directions of the field.Practical implicationsThe ICT competency framework for higher education teachers can be beneficial for improving their ICT competence and further promoting students’ achievements and HEIs’ performance. Simultaneously, the findings of our thematic analysis of author keywords suggest that these thematic clusters can be valuable resources for informing institutional policy and providing novel research directions in this field.Originality/valueThis study addresses current research gaps in the field of ICT competency framework for teachers as well as higher education teachers’ ICT competence by utilizing advanced bibliometric analyses such as thematic mapping to systematically review higher education teachers’ ICT competence. Based on the results obtained through thematic analysis of authors’ keywords from July 25th, 2008 to June 7th, 2024, it proposes new research directions, laying the foundation for future investigations, thereby aiding researchers in developing this area further.
Identifying key features of Islamic mobile apps through fuzzy Kano’s model
Authors: Baran Tamer , Barutçu Süleyman 
Published: January 2025

Purpose
This paper aims to identify the major attractive design features of Islamic mobile apps that have the greatest impact on consumer satisfaction using the Kano model, an organized approach to specify consumer requirements and expectation through a preference classification technique.

Design/methodology/approach
Using a quantitative research method, the data were obtained through a self-administered online survey. A total of 1,262 useable data were analysed through fuzzy Kano model method.

Findings
The results suggest that while the pictures, sounds and advertisements are the most important attractive design features for hijab clothing mobile apps users’ satisfaction, the least important design features are payment methods, colour and using an Islamic (Muslim) calendar.

Research limitations/implications
The key limitation of the present study is that the data had to be gathered by convenience sampling method due to financial and time costs pressure since the study was not supported by any sponsor, and the aim was to obtain the data quicker.

Practical implications
The current paper presents crucial theoretical and managerial implications for future research by integrating the Kano model with Islamic mobile app development-related theoretical models for designing and developing Islamic mobile apps.

Originality/value
Though there were some studies on mobile application design, this paper separates from previous studies in several aspects. Firstly, the study is one of the few practice papers that focuses on Islamic mobile application design through consumer culture theory. In addition, to the best of the authors’ knowledge, this is the first paper that addresses the topic using the method of the current study.
Unpacking virtues: a process to deepen perspectives on leader character
Authors: Bright David S. 
Published: January 2025

PurposeThis manuscript presents a process for students to identify, articulate, and refine their intrinsic assumptions and beliefs about leadership character virtues. A leadership virtue is a deep property of leadership character encompassing habituated thoughts, emotions, motivations, and intentions. Increasingly, scholars are calling for an exploration of character in leadership development. Accordingly, this exercise aims to help students develop greater self-awareness and deepen their intentions about the dimensions of character that are important to them, fostering a sense of introspection and personal growth.Design/methodology/approachThis activity invites students to explore and practice virtues they may want to be known for as leaders. Specifically, this activity introduces students to the essential elements of any human virtue: benefits, behaviors, mindset, emotions and balance.FindingsStudents who complete this exercise feel a stronger sense of purpose in whom they strive to become leaders.Practical implicationsThe most important value of this exercise is the holistic framework for unpacking the different dimensions of character virtue. The exploration of virtues in leadership education needs to account for the complexity of character virtues.Originality/valueThis approach is consistent with calls from scholars in virtue ethics and positive social science for more robust theories of virtues. Every student will benefit from the opportunity to reflect on their assumptions about beliefs about how to develop and exercise leadership character. Leaders may repeat this exercise as they mature and their character is tested.
Not a human, not for green? The effectiveness of virtual influencers endorsing green products
Authors: Wang Jianming , Ye Guotao , Yang Jingshu 
Published: January 2025

Purpose
Influencer marketing has emerged as a key strategy for brands to promote green products. The effectiveness of virtual influencers – a newer type of endorser – for these products remains unclear. This study aims to compare the effectiveness of virtual and human influencers in promoting green products and to uncover the key mechanisms that drive their influence.

Design/methodology/approach
In this research, the hypotheses were examined across three experimental studies. Study 1 initially investigated the effectiveness of virtual influencers in endorsing green products. Study 2 identified perceived altruistic motivation and perceived congruence of product and influencer as key mechanisms. Study 3 explored the moderating effect of language type (rational vs emotional).

Findings
The findings indicate that virtual influencers are generally less effective than human influencers in promoting green products, largely due to lower perceived altruistic motivation and congruence. Yet, using rational language in promotional posts can enhance the effectiveness of virtual influencers in endorsing these products.

Originality/value
This study combines the mind perception theory with the match-up hypothesis to explore the intrinsic mechanisms of perceived altruistic motivation and congruence, specifically from an emotional perspective, based on the unique attributes of virtual influencers and green products. These insights guide brands in selecting suitable endorsers for green products in the context of increasing environmental awareness and digitalization.
Local or global innovation? The impact of R&D investments and training
Authors: Barakat Livia , Pedersen Torben , Spitzeck Heiko 
Published: January 2025

Purpose
This study aims to explore means for promoting local and global innovation, where two mechanisms play a key role: R&D investments and training. The authors suggest that, given their different purposes, R&D investments and training moderate the relationships between knowledge sourcing and both local and global innovation in different ways.

Design/methodology/approach
The authors test the hypotheses on a sample of multinational corporations (MNCs) (headquarters of Brazilian multinationals and subsidiaries of foreign multinationals) operating in Brazil, an emerging market. Respondent companies were sourced from the Bovespa Stock Exchange list and a local Best Companies Ranking. Roughly 1,000 companies were invited to participate in an annual survey over an eight-year period (2012–2019) via an online questionnaire. The final sample comprises 108 observations from 87 companies. Hypotheses were tested using a hierarchical linear model in the software R. By measuring the variables at two points in time with a five-year gap, the authors can infer cause and effect relationships.

Findings
The results confirm all of the hypotheses. R&D investments positively moderate the relationship between knowledge sourcing and local innovation (H1) and negatively moderate the relationship between knowledge sourcing and global innovation (H2). Training has a positive moderating effect on the relationship between knowledge sourcing and global innovation (H3) and a negative moderating effect on the relationship between knowledge sourcing and local innovation (H4).

Practical implications
No one practice can enhance the effect of knowledge sourcing on both local innovation and global innovation. Firms looking to foster local innovation should concentrate on increasing R&D investments, while firms wishing to foster global innovation should focus on providing training to their employees.

Originality/value
This study contributes to the literature by discussing the particularities of local and global innovation and exploring mechanisms (i.e. R&D investments and training) that can foster or hinder local and global innovation. The authors advance the extant literature on location choices for R&D activities by exploring the mechanisms that affect the type of market targeted by such innovation (local or global), thereby addressing calls for more studies on how local knowledge activities affect overall MNC innovation. The authors also respond to calls for more studies on the role of human resource management (HRM) practices, such as training, in fostering innovation, especially in emerging markets.
Determinants and antecedents of social conductivity in project relationships
Authors: Guribie Francis Lanme , Owusu-Manu De-Graft , Badu Edward , Edwards David John 
Published: January 2025

Purpose
There is a clear gap in the literature regarding the factors that determine social conductivity (extent of interactions) in project relationships. This study aims to use social capital theory to answer the research question – What factors determine social conductivity in project relationships?

Design/methodology/approach
In the study, the authors use fuzzy synthetic evaluation based on the findings from a survey of 203 project practitioners to quantify the impacts of three principal components of factors determining social conductivity in project relationships.

Findings
The study findings reveal the structural, relational and cognitive dimensions of project social capital are all significant (impact levels exceeding 3.50) for determining social conductivity in project relationships. However, the study’s main finding reveals – issues relating to the cognitive dimension of project social capital are the most critical factors determining social conductivity in project relationships (a criticality index of 4.326).

Practical implications
This study provides evidence of varieties of ways social capital can boost the conductivity of project relationships.

Originality/value
The key contributions of this study are linked to the manner in which project social capital determines social conductivity in project relationships. The findings add to previous research by extending the dimensions of the factors that increase social conductivity from relational project social capital to include two new dimensions (the cognitive and structural dimensions of project social capital).
From Straight Lines to Twists and Turns: Finding Patterns Between Socio‐Economics and Unequal Health Outcomes in the Life Course
Authors: Goijaerts Janna , van der Zwan Natascha , Bussemaker Jet 
Published: January 2025

ABSTRACTDespite welfare state expansion in liberal democracies during the 20th century, health inequalities between socio‐economic groups persist. Understanding individuals' lived experiences can inform policy for reducing unequal health outcomes in these lives. We build on Fundamental Cause Theory (FCT), which posits that low socio‐economic status is the fundamental cause of health problems in (later) life. We argue that this theory is incomplete in developing policy interventions to tackle unequal health outcomes, because it assumes the relationship between socio‐economic status and health to be linear and unidirectional. Based on our findings from biographic interviews of 15 disadvantaged individuals in the Netherlands, we propose a refinement of FCT by taking into account the complex life trajectories of individuals experiencing unequal health outcomes. Specifically, we argue that these individuals' trajectories can be broken down into at least five distinct patterns (ping‐pong, snowball, escalator, quicksand and lever) between socio‐economic and health issues. These patterns provide a theoretical addition to the existing FCT on the dynamics of life trajectories, the intensity with which problems develop and the importance of external factors. This helps not only to understand the emergence of health problems, but also to imagine more suitable policy responses.
Completeness and quality of comprehensive managed care data compared with fee‐for‐service data in national Medicaid claims from 2001 to 2019
Authors: Samples Hillary , Lloyd Kristen , Ryali Radha , Martins Silvia S. , Cerdá Magdalena , Hasin Deborah , Crystal Stephen , Olfson Mark 
Published: January 2025

AbstractObjectiveTo evaluate the completeness and quality of Medicaid comprehensive managed care (CMC) data in national MAX/TAF research files.Study Setting and DesignThis observational study compared CMC with fee‐for‐service (FFS) enrollee data in 2001–2019 Medicaid MAX/TAF inpatient, outpatient, and pharmacy files. Completeness was assessed as the proportion of enrollees with any claim and mean claims per enrollee with any claim. Quality was assessed as the proportion of inpatient and outpatient claims with primary diagnosis and procedure codes and the proportion of prescription drug claims with fill dates, National Drug Codes (NDC), days supplied, and quantity dispensed. Acceptable ranges for each study measure were defined as the national FFS mean ± 2 standard deviations.Data Sources and Analytic SampleWe analyzed secondary data on 45 states from 2001 to 2013 (MAX) and 50 states and DC from 2014 to 2019 (TAF). The sample included adults aged 18–64 with continuous calendar‐year enrollment who were eligible for full Medicaid benefits and ineligible for Medicare. We determined CMC enrollment rates and assessed data completeness and quality among state‐years with ≥10% CMC penetration, comparing CMC with FFS enrollees.Principal FindingsAcross 891 state‐years, 194,364,647 enrollees met inclusion criteria. Of 540 state‐years (60.6%) with ≥10% CMC enrollment, CMC data were largely comparable to national FFS distributions for all inpatient (n = 430; 79.6%), outpatient (n = 467, 86.5%), and prescription (n = 459, 85.0%) completeness criteria and for all inpatient (n = 449, 83.1%), outpatient (n = 511, 94.6%), and prescription (n = 528, 97.8%) quality criteria. Overall completeness (92.3%) and quality (84.6%) improved substantially by 2019.ConclusionsCompleteness and quality of CMC data were largely comparable to FFS data, with increasing state‐years meeting criteria over time. Further research on national Medicaid populations should assess and address differences in data completeness and quality by plan type across states, over time, and in relation to specific study samples and measures of interest.
“Raman plus X” dual‐modal spectroscopy technology for food analysis: A review
Authors: Ma Lixin , Yang Xiaonan , Xue Shanshan , Zhou Ruiyun , Wang Chen , Guo Zhiming , Wang Yansong , Cai Jianrong 
Published: January 2025

AbstractRaman spectroscopy, a nondestructive optical technique that provides detailed chemical information, has attracted growing interest in the food industry. Complementary spectroscopic methods, such as near‐infrared (NIR) spectroscopy, nuclear magnetic resonance (NMR), terahertz (THz) spectroscopy, laser‐induced breakdown spectroscopy (LIBS), and fluorescence spectroscopy (Flu), enhance Raman spectroscopy's capabilities in various applications. The integration of Raman with these techniques, termed “Raman plus X,” has shown significant potential in agri‐food analysis. This review highlights the latest advances and applications of dual‐modal spectroscopy methods combining Raman spectroscopy with NIR, NMR, THz, LIBS, and Flu in food analysis. Key applications include detecting harmful contaminants, evaluating food quality, identifying adulteration, and characterizing structure. The synergistic use of Raman‐based dual‐modal spectroscopy provides more comprehensive information and improves modeling accuracy compared to single techniques. The review also explores the role of data fusion in multisource spectral analysis and discusses challenges and prospects of “Raman plus X,” including the development of integrated hardware and advanced data fusion algorithms. These advancements aim to streamline multisource data analysis, offering valuable insights to select appropriate analytical methods for practical applications in the food industry.