bluuebunny/crossref_metadata_2025_split huggingface dataset:
The language network ages well: Preserved selectivity, lateralization, and within-network functional synchronization in older brains
Authors: Billot Anne , Jhingan Niharika , Varkanitsa Maria , Blank Idan , Ryskin Rachel , Kiran Swathi , Fedorenko Evelina 
Published: October 2024

AbstractHealthy aging is associated with structural and functional brain changes. However, cognitive abilities differ from one another in how they change with age: whereas executive functions, like working memory, show age-related decline, aspects of linguistic processing remain relatively preserved (Hartshorne et al., 2015). This heterogeneity of the cognitive-behavioral landscape in aging predicts differences among brain networks in whether and how they should change with age. To evaluate this prediction, we used individual-subject fMRI analyses (’precision fMRI’) to examine the language-selective network (Fedorenko et al., 2024) and the Multiple Demand (MD) network, which supports executive functions (Duncan et al., 2020), in older adults (n=77) relative to young controls (n=470). In line with past claims, relative to young adults, the MD network of older adults shows weaker and less spatially extensive activations during an executive function task and reduced within-network functional synchronization. However, in stark contrast to the MD network, we find remarkable preservation of the language network in older adults. Their language network responds to language as strongly and selectively as in younger adults, and is similarly lateralized and internally synchronized. In other words, the language network of older adults looks indistinguishable from that of younger adults. Our findings align with behavioral preservation of language skills in aging and suggest that some networks remain young-like, at least on standard measures of function and connectivity.Significance StatementAll organs, including brains, change as we age. However, the brain is not a uniform structure: it comprises multiple distinct networks, each supporting a different aspect of perception, motor control, and cognition. We examine two cognitive brain networks using fMRI and—across two independent cohorts—find a clear dissociation: the so-called Multiple Demand network, which supports executive functions (e.g., working memory), shows clear age-related decline; however, the language-selective network, which supports comprehension and production, remains young-like on all measures of network function and connectivity, in line with the preservation of linguistic skills in older adults. These findings challenge the notion of generalized brain aging and highlight the importance of dissociable components in the brain and mind.
Fookifun: where fun means serious business
Authors: Mejia Reatiga Camilo Antonio , Juliao-Esparragoza David , Gonzalez Saul 
Published: October 2024

Learning outcomes
This case study is tailored for audiences engaged in subjects such as entrepreneurship, strategy and foundational marketing principles. The academic focus aligns with the business model conceptualized by Osterwalder and Pigneur. This case study targets both undergraduate and graduate students at the university level, catering to interdisciplinary groups enrolled in courses related to entrepreneurship, strategy, marketing fundamentals and more. The objective is to equip students with the skills to construct diverse business models based on various potential alternatives. This case’s adaptable design and straightforward cost and revenue formulation facilitate comprehension for nonbusiness students, enabling them to grasp the multifaceted dimensions of a business model and project figures using basic arithmetic.

Case overview/synopsis
Fookifun emerged as a company born from Mrs Alejandra Padilla’s insightful grasp of the market. With the initial investment from her husband, she initiated a venture focused on delivering high-quality theatrical performances for children in the city of Barranquilla, situated in the northern region of Colombia. This narrative unfolds through early scenarios, illustrating the strategic decisions made by the entrepreneurs and the meticulous calculation of their costs and expenses. Alejandra steered her enterprise from 2014 to 2017, navigating through various alternatives and their associated costs. The narrative delved into 2017, depicting Alejandra’s pivotal decision-making process. Faced with the challenge of insufficient profitability, she contemplated the sustainability of the business. This period prompted her to reassess whether to persist with modifications or relinquish the venture altogether. The crux of Alejandra’s dilemma laid in the business’s meager profitability, which failed to generate adequate income for sustainability. It became imperative for her to make informed decisions, identifying modifiable variables within the business model and assessing their potential impact, particularly on the income generation model. This case study is tailored for audiences engaged in subjects such as entrepreneurship, strategy and foundational marketing principles. The academic focus aligns with the business model conceptualized by Osterwalder and Pigneur.

Complexity academic level
Given the characteristics of this case, it can be used for the teaching and learning of business or business administration, marketing, economics or related students, at higher or postgraduate levels (graduate school).

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS3: Entrepreneurship.
Digital technology and entrepreneurship: unveiling the bridging role of digital innovation
Authors: Lingfu Kong , Bano Safia , Saraih Ummi Naiemah , Shah Naimatullah , Soomro Bahadur Ali 
Published: October 2024

PurposeIn today’s era, a country’s economy and society are continuously improved by entrepreneurship that utilizes digital technology. The current study, conducted among university students in Pakistan, examines the roles of digital aspects in moving toward digital innovation (DI) and digital entrepreneurship (DE).Design/methodology/approachThe study is based on quantitative and cross-sectional data. A survey questionnaire was used to obtain responses from respondents recruited through the convenience sampling technique.FindingsThe results from structural equation modeling (SEM) analysis suggest significant effects of technology orientation (TO), entrepreneurial orientation (EO), and DI on DE. The impact of DI on DE is also significant. On the other hand, digital technology self-efficacy (DTSE) is not found to be a significant predictor of DI and DE. Moreover, DI is found to be a significant mediator, which mediates the relationships of TO and EO with DE. On the contrary, DI did not mediate the significant relationship between DTSE and DE.Practical implicationsThe study’s findings would benefit policymakers and planners in developing policies to encourage the usage of digital technologies to provide solutions in entrepreneurship. The findings also support promoting DE to tackle business challenges and achieve organizational and academic goals.Originality/valueThe study emphasizes the roles of digital technology, innovation, and entrepreneurship in a developing context.
Organizational justice and work engagement of public service workers and general workers in South Korea: moderating role of supportive learning environment
Authors: Cho Hyerim , Ardichvili Alexandre , Cho Daeyeon 
Published: October 2024

Purpose
The purpose of this study is to examine the relationship between organizational justice and work engagement, to discover the moderating effect of the supportive learning environment on the relationship between organizational justice and work engagement, and to determine whether there is a difference in moderating effect for general workers and public service workers.

Design/methodology/approach
The authors collected data by surveying a public enterprise’s general and public service workers in South Korea. A total of 300 responses were used for analysis. The hypothesized relationships were tested using correlation, regression, and moderating effect analysis.

Findings
Organizational justice had a statistically significant positive effect on work engagement. At the sub-factor level, distributive and procedural justice positively affected work engagement. Further, the supportive learning environment did not moderate the relationship between organizational justice and work engagement. However, organizational support, a sub-factor of the supportive learning environment, moderated the relationship between organizational justice and work engagement. Finally, the moderating effect of the supportive learning environment on the relationship between organizational justice and work engagement was insignificant for both general and public service workers.

Originality/value
From the human resource development (HRD) standpoint, this paper emphasized the importance of creating supportive learning environments in integrating large groups of new employees into the organizational structures and culture. Highlighting that public service workers perceived organizational justice as lower than general workers, the study provided insights into future organizational strategies for accommodating these workers. It is particularly meaningful in that it was the first attempt at studying the difference between general and public service workers after integrating public service workers in South Korea. The findings can inform practice beyond the South Korean context, particularly the countries where similar labor market dualisms exist.
Top management team stability and maturity mismatch between investment and financing: the moderating effects of state ownership and institutional ownership
Authors: Zhan Yun , Liao Jia , Zhao Xiaoyang 
Published: October 2024

PurposeAccording to the resource-based theory, a firm’s unique resources and capabilities are the key to its competitive advantage. This paper aims to investigate the effect of top management team (TMT) stability, an important intangible resource of the firm, on the maturity mismatch between investment and financing of companies. Additionally, we explore the moderating effects of state ownership and institutional ownership in this context.Design/methodology/approachThis study conducts an empirical analysis based on the ordinary least squares (OLS) model with a sample of Chinese companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2022.FindingsThe results show that TMT stability significantly mitigates the degree of maturity mismatch. Both state ownership and institutional ownership weaken the negative effect of TMT stability on maturity mismatch. Besides, alleviating financing constraints is a crucial pathway through which TMT stability influences maturity mismatch.Practical implicationsThe findings help firms to effectively retain TMT talents and reduce the occurrence of maturity mismatch.Originality/valueThis paper not only helps to expand the research on the economic effects of TMT stability but also provides new ideas on how to alleviate the maturity mismatch of companies.
The effect of social experience and content quality on the use of celebrity endorsement strategy in the social commerce context: a case study of Indonesia
Authors: Handarkho Yonathan Dri , Arifin Pupung 
Published: October 2024

Purpose
This study aims to provide a comprehensive theoretical model based on stimulus-organismresponse, social impact, and signaling theory to examine the factors influencing the successful application of the celebrity endorsement strategy in social commerce (SC). Three aspects involved in the model include social experience, content quality and endorser credibility, which have yet to be comprehensively compared in previous studies. The process, therefore, involved thoroughly examining the social and quality factors associated with endorser quality, leading to brand image.

Design/methodology/approach
In total, 340 pieces of valid feedback from Indonesian respondents were used to validate the proposed model using structural equation modeling analysis. The model includes endorser expertise, attractiveness, brand credibility, content quality, parasocial interaction and herd behavior.

Findings
The study showed how parasocial interaction, herd behavior and content quality in SC platforms affect the credibility of endorsers, affecting brand credibility and leading to customer purchase intention.

Originality/value
This study explains how social experience and content quality affect endorsers’ credibility, leading to the brand’s credibility, which affects consumer purchase decisions in the SC context. It was discovered that most of the prior related studies focused on celebrity and brand credibility without adequate attention to other constructs existing in SC, such as social interaction and content quality. It also contributes to the practical aspect by proposing managerial action based on direct and indirect effect analysis, which is not comprehensively indicated in previous related studies.
Exploring the enablers of virtual tourism experiences for Gen Z
Authors: Das Payel , Chintaluri Manoj Gaur , Mandal Santanu , Babu Sarath , Kotni V.V. Prasad , Raman Raghu 
Published: October 2024

PurposeThis study explored the enabler role of novelty-seeking and materialistic values on technology-based outcomes: usefulness, ease of use and enjoyment of virtual tourism. Furthermore, this study explored the direct effects of Gen Z’s word-of-mouth intentions. The study also explored the contingent effects of gender and educational level.Design/methodology/approachSurvey-based responses were gathered from 342 Gen Z participants using specific filtering criteria to ensure sample representativeness. Subsequently, the final responses were analysed using partial least squares.FindingsThe findings suggest a significant role for novelty-seeking and materialistic values in Gen Z’s overall perception of virtual tourism. Furthermore, with higher perceived usefulness, ease of use and enjoyment, Gen Zs are more inclined to share positive word-of-mouth for virtual tourism experiences.Originality/valueThis study aims to explore the orientation of Gen Zs toward virtual travel experiences in an emerging economy such as India. Implications for managers and practitioners are also discussed.
Employee participation as a new frontier in corporate social responsibility: a review of the literature
Authors: Crifo Patricia , Rebérioux Antoine 
Published: October 2024

PurposeThis paper examines the relationship between employee involvement in decision-making (in particular codetermination) and corporate social responsibility, i.e. extra-financial or environmental, social and governance (ESG) performance.Design/methodology/approachLiterature review was done based on the following methodology: synthesis of existing knowledge, bringing together and summarising published work on the relationship between codetermination and CSR; identification of potential gaps in the literature, highlighting what has been little studied in the field; assessment of the quality, relevance and limitations of existing studies and following citation standards to acknowledge the work of other researchers.FindingsCodetermination has a rather positive impact on extra-financial performance. The special status of employee directors, who combine independence (from management) with knowledge of the company and its sector, may generate better strategic choices and enhanced oversight of management action, with positive consequences for ESG performance overall. Regarding, more specifically, governance, although codetermination inevitably upsets the internal balances of corporate boards, it does not seem to pose a major risk to their operation. The possibility of blocking decisions remains theoretical, and codetermination does not necessarily lead to oversized boards. On the social side, codetermination would have a positive impact on wage and employment management. Finally, regarding the environment, no strong consensus has emerged so far on whether codetermination improves or deteriorates corporate environmental performance.Originality/valueThe originality of our approach is to propose a review of the literature on the determinants and impact of employee participation in light of concerns and reflections on the nature and responsibility of firms, particularly about the ecological and environmental crisis that contributed to shifting the challenges to less operational and more strategic considerations. We thus question how the participation of employees in the decision-making process tends to delineate a democracy that is no longer merely liberal but also “social”. We examine, conceptually and empirically, the various forms that the participation of employees may take and their impact on firm performance.
Predicting user behavior on s-commerce platforms: a novel model
Authors: Al-Omoush Khaled Saleh , Shuhaiber Ahmed 
Published: October 2024

PurposeThis study investigates the influence of the wisdom of the crowd (WSC), trust and perceived value on consumer purchase intentions within social commerce (s-commerce) platforms. By constructing a novel theoretical model, the research aims to delineate the interrelationships among these variables, addressing an emerging area in social interactions and information technology.Design/methodology/approachTo empirically test and validate the proposed model, the study collected data from 442 Facebook users familiar with online shopping. The analysis employed Structural Equation Modeling – Partial Least Squares (SEM-PLS) to test the hypotheses and examine the relationships between WSC, trust, perceived value and purchase intentions.FindingsThe findings confirm that WSC significantly influences trust, perceived value and the intention to purchase on s-commerce platforms. Both perceived value and trust are substantial determinants of purchase intentions. Notably, the PLS analysis revealed that WSC accounts for 36.8% of the variance in trust and 33.1% of the variance in perceived value related to purchasing decisions on s-commerce platforms.Originality/valueThis research contributes uniquely to the ongoing discourse on s-commerce adoption by integrating WSC as a pivotal factor in understanding perceived value and consumer adoption intentions. It provides a fresh perspective on how collective intelligence affects consumer behavior in digital marketplaces, enriching the theoretical and practical understanding of s-commerce dynamics.
Beyond words: understanding the impact of presentation formats and product involvement on AI-voice assistant adoption
Authors: Hari Harinder , Sharma Arun , Verma Sanjeev 
Published: October 2024

PurposeVoice assistants can present search results through “voice presentation” or “voice and visual”, depending on the device they are connected to. Alternatively, consumers can search for products manually using the online website. Despite the critical role of presentation formats in helping consumers understand and decide on products, this area remains vastly unexplored, particularly the combined use of voice and visual formats. Thus, to understand which presentation format suits different products, we delve into consumer search behaviour, distinguishing between low and high-involvement products.Design/methodology/approachA between-subjects factorial experimental design was used to examine the influence of 3 presentation formats (voice only, visual only and voice and visual) and 2 product involvement levels (low and high) on consumer trust, usefulness and behavioural intentions.FindingsThe results confirm a significant interaction between presentation format and product involvement, highlighting consumers' preference for voice presentation in low-involvement products, while a combination of “voice and visual” is preferred for high-involvement products.Originality/valueThe study shows that both presentation format and product involvement affect the trust and usefulness of voice assistants, which further influences consumers’ behavioural intentions. The key finding contributes to the growing body of knowledge of consumer and voice assistant interaction and offers guidance to managers on the use of voice assistants for their customers.
A shallow convolutional neural network-based method for enhanced conductivity distribution reconstruction under limited measurement
Authors: Shi Yanyan , Su Hao , Wang Meng , Dou Hanxiao , Yang Bin , Fu Feng 
Published: October 2024

Purpose
In the brain imaging based on electrical impedance tomography, it is sometimes not able to attach 16 electrodes due to space restriction caused by craniotomy. As a result of this, the number of boundary measurements decreases, and spatial resolution of reconstructed conductivity distribution is reduced. The purpose of this study is to enhance reconstruction quality in cases of limited measurement.

Design/methodology/approach
A new data expansion method based on the shallow convolutional neural network is proposed. An eight-electrode model is built from which fewer boundary measurements can be obtained. To improve the imaging quality, shallow convolutional neural network is constructed which maps limited voltage data of the 8-electrode model to expanded voltage data of a quasi-16-electrode model. The predicted data is compared with the quasi-16-electrode data. Besides, image reconstruction based on L1 regularization method is conducted.

Findings
The results show that the predicted data generally coincides with the quasi-16-electrode data. It is found that images reconstructed with the data of eight-electrode model are the poorest. Nevertheless, imaging results when the limited data is expanded by the proposed method show large improvement, and there is a minor difference with the images recovered with the quasi-16-electrode data. Also, the impact of noise is studied, which shows that the proposed method is robust to noise.

Originality/value
To enhance reconstruction quality in the case of limited measurement, a new data expansion method based on the shallow convolutional neural network is proposed. Both simulation work and phantom experiments have demonstrated that high-quality images of cerebral hemorrhage and cerebral ischemia can be obtained when the limited measurement is expanded by the proposed method.
The effects of cannabinoids on the kidney
Authors: Didik Steven , Palygin Oleg , Chandy Mark , Staruschenko Alexander 
Published: October 2024

AbstractCannabinoids are a class of drugs derived from the Cannabis plant that are widely used for the treatment of various medical conditions and recreational use. Common examples include Δ9‐tetrahydrocannabinol (THC), cannabidiol (CBD), spice, and 2‐arachidonoylglycerol (2‐AG). With more than 100 cannabinoids identified, their influence on the nervous system, role in pain management, and effects due to illicit use have been extensively studied. However, their effects on peripheral organs, such as the kidneys, require further examination. With dramatic rises in use, production, and legalization, it is essential to understand the impact and mechanistic properties of these drugs as they pertain to renal and cardiovascular physiology. The goal of this review is to summarize prior literature on the expression of cannabinoid receptors and how cannabinoids influence renal function. This review first discusses the interaction of the endocannabinoid system (ECS) and renal physiology and pathophysiology. Following, we briefly discuss the role of the ECS in various kidney diseases and the potential therapeutic applications of drugs targeting the cannabinoid system. Lastly, recent studies have identified several detrimental effects of cannabinoids, not only on the kidney but also in contributing to adverse cardiovascular outcomes. Thus, the negative impact of cannabinoids on renal function and the development of various cardiovascular diseases is also discussed.