bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel market sentiment measure: assessing the link between VIX and the Global Consciousness Projects data
Authors: Holmberg Ulf 
Published: December 2023

PurposeThe primary objective of this research is to explore the potential of utilizing Global Consciousness Project (GCP) data as a tool for understanding and predicting market sentiment. Specifically, the study aims to assess whether incorporating GCP data into econometric models can enhance the comprehension of daily market movements, providing valuable insights for traders.Design/methodology/approachThis study employs econometric models to investigate the correlation between the Standard & Poor's 500 Volatility Index (VIX), a common measure of market sentiment and data from the GCP. The focus is particularly on the largest daily composite GCP data value (Max[Z]) and its significant covariation with changes in VIX. The research employs interaction terms with VIX and daily returns from global markets, including Europe and Asia, to explore the relationship further.FindingsThe results reveal a significant relationship with the GCP data, particularly Max[Z] and VIX. Interaction terms with both VIX and daily returns from global markets are highly significant, explaining about one percent of the variance in the econometric model. This finding suggests that variations in GCP data can contribute to a better understanding of market dynamics and improve forecasting accuracy.Research limitations/implicationsOne limitation of this study is the potential for overfitting and P-hacking. To address this concern, the models undergo rigorous testing in an out-of-sample simulation study lasting for a predefined one-year period. This limitation underscores the need for cautious interpretation and application of the findings, recognizing the complexities and uncertainties inherent in market dynamics.Practical implicationsThe study explores the practical implications of incorporating GCP data into trading strategies. Econometric models, both with and without GCP data, are subjected to an out-of-sample simulation where an artificial trader employs S&P 500 tracking instruments based on the model's one-day-ahead forecasts. The results suggest that GCP data can enhance daily forecasts, offering practical value for traders seeking improved decision-making tools.Originality/valueUtilizing data from the GCP is found to be advantageous for traders as noteworthy correlations with market sentiment are found. This unanticipated finding challenges established paradigms in both economics and consciousness research, seamlessly integrating these domains of research. Traders can leverage this innovative tool, as it can be used to refine forecasting precision.
First (latent) generation and family business: a perspective article
Authors: Vesperi Walter , Melina Anna Maria , Cristofaro Concetta Lucia , Ventura Marzia 
Published: December 2023

PurposeFamily businesses are characterized by the simultaneous presence of the family and the business system. The literature analyses sporadically the family support during the creation of a new family business. For this reason, the aim of this article is to offer new reflections and theoretical approaches in the field of family business studies. In fact, the study focuses on the first generation and the relationship and support with the previous generation (latent generation).Design/methodology/approachThis perspective paper is based on a concise review of the literature.FindingsThe results of this offer a state of the art, synthesized and integrated, on the first generation to proposal the reader new knowledge on the first generation and relationships with family members.Originality/valueThis perspective paper distinguishes between the first generation formally engaged in the family business and the latent generation. The authors identify latent generation as a generation coeval with the first that supports the entrepreneur without being formally engaged in the family business. This study summarizes existing research on the first generation, highlighting the crucial role of the latent generation. Considering the latent generation determines an implicit and tacit generational transition not yet considered in the literature on the topic This study provides new research directions for scholars and managers to understand the entrepreneurial behaviors of families, family members and family businesses.
Socioeconomic determinants of ownership of payment cards, mobile money account, and government remittances of digital financial services: evidence from India
Authors: Nandru Prabhakar , Chendragiri Madhavaiah , Arulmurugan Velayutham 
Published: December 2023

PurposeThis paper aims to measure the extent of digital financial inclusion (DFI) and examine the effect of socioeconomic characteristics on using government remittances and the adoption of digital financial services (DFS) during the COVID-19 pandemic.Design/methodology/approachThe World Bank Global Financial Inclusion (Global Findex) database 2021 is used in this study, with a sample size of 3,000 Indian individuals. The study measured the demand-side analysis of DFI, namely, accessibility and usage of DFS with selected socioeconomic characteristics such as gender, age, income, education, being in the workforce and residential status of respondents. The dependent variable is binary in nature; therefore, the logistic regression model is used for the data analysis.FindingsThe results of the study reveal that individuals’ socioeconomic factors, such as female, all the age groups, tertiary education, third- and fourth-income quintile and workforce, are found to have a significant association with “accessibility,” an exogenous variable of DFS. Besides, respondents’ socioeconomic attributes, namely, female, tertiary education, income for all quintiles and workforce, are more likely to use DFSs in the COVID-19 pandemic. The study also finds the residential status of individuals is influencing the accessibility and usage of DFS.Practical implicationsThe findings of the study provide valuable insights to the service providers and policymakers regarding the rapid expansion of DFS by digital infrastructure, simplifying the banking procedures and highlighting the importance of digital financial literacy to accomplish government goals through serving the unbanked population and also design strategies for achieving the objectives of Digital India: “Faceless, Paperless, and Cashless” of DFI across the country.Originality/valueNotable studies used World Bank Findex survey data to explore the determinants of financial inclusion in general. This research is one among the few studies to explore the determinants of India’s DFI. Moreover, this study measured the effect of individual socioeconomic attributes on the adoption of DFSs during the COVID-19 pandemic, which has not been included in prior studies. Therefore, this study has added value to the existing literature on financial technology innovation and DFS for the sustainable development of emerging nations.
Prestige over profit, corporate social responsibility boosts corporate sustainable performance: mediation roles of brand image and brand loyalty
Authors: Le Thanh Tiep , Le Minh Hoa , Nguyen Thi Tuong Vy , Nguyen Thien Phuc Vu , Tran Dac Bao Tran , Nguyen Le Phuong Vy , Mavuri Sudha 
Published: December 2023

Purpose
This study aims to investigate the influence of corporate social responsibility (CSR) on corporate sustainable performance (CSP) of small- and medium-sized enterprises (SMEs) by looking into the significance of mediating factors, namely, brand image (BI) and brand loyalty (BL), within the context of an emerging economy.

Design/methodology/approach
The authors conduct an extensive literature study on the subjects of CSR, BI and BL to assess their influence on the sustainable performance of SMEs in an emerging market. The study adopts a quantitative methodology. A total of 438 answers were obtained from a sample size of 513. The data of the SMEs in Vietnam was analyzed using the smart partial least squares structural equation modeling software, specifically version 3.3.2.

Findings
The results of the authors demonstrate notable and favorable correlations between CSR and CSP, CSR and BI and CSR and BL. Importantly, the findings contribute to existing knowledge by looking into the mediating influence of BI and BL in the relationship between CSR and CSP.

Originality/value
According to the authors’ understanding, a number of research have investigated the correlation between CSR and CSP within the realm of SMEs. Nevertheless, there is a scarcity of scholarly research examining the mediating function of BI and BL in this association. The study’s findings have important implications for entrepreneurs and senior management in effectively guiding their enterprises and improving their business strategies with an emphasis on sustainability in emerging markets. The outcome of this study has the potential to significantly contribute to SMEs in Vietnam as well as other emerging countries.
Remote working and its facilitative nuances: visualizing the intellectual structure and setting future research agenda
Authors: Jain Shanu , Devi Sarita , Kumar Vibhash 
Published: December 2023

Purpose
In the wake of the COVID-19 pandemic, remote working (RW) has emerged as a viable alternative to working employees in general and knowledge workers in particular. However, previous researchers have worked on the concept, development and facilitation of RW since the 1970s. Therefore, this study aims to review the existing literature on RW to ascertain the evolution of the concept in the business and management domain and provide for requisite arguments to extend the settings for future research agendas.

Design/methodology/approach
The authors based this study on a bibliometric analysis of articles (n = 349) retrieved from the Web of Science database published between January 1990 and October 2021. The authors have used a bibliometric toolbox comprising performance analysis, science mapping and network analysis in various software namely, VOSviewer, Gephi and Biblioshiny package in R.

Findings
The study’s results accentuated important themes like work–life balance, strengthening digital infrastructure, performance and productivity, hybrid work models and well-being and clustered them under four heads with proposed future research questions.

Research limitations/implications
The study is based on a single database; the authors have used an extensive but not exhaustive list of keywords to retrieve the articles. The analysis employs certain threshold limits while using the science mapping technique.

Practical implications
This study would enable managers and academics to comprehensively understand remote work and offer logical implications to appreciate its nuances.

Originality/value
This study is unique as it recognizes the intellectual structure in the existing literature on RW and traces the advancements and exponential growth post-COVID-19. The authors recapitulated the literature as network analysis of the RW facilitation model comprising the antecedents, outcomes, mediators and moderators.
Effect of scan speed on corrosion and tribocorrosion properties of cobalt-chromium alloy in situ produced by selective laser melting
Authors: Alaloosi Raghad Ahmed , Çomakli Onur , Yazici Mustafa , Taha Ziad A. 
Published: December 2023

Purpose
This paper aims to investigate the influence of scan speed on the corrosion and tribocorrosion features of the CoCrMoW samples fabricated via the selective laser melting (SLM) process.

Design/methodology/approach
CoCrMoW samples were produced by SLM at different scan speeds. Produced samples were made via structural surveys (X-ray diffraction examinations and scanning electron microscopic analyses), hardness measurements and electrochemical and tribocorrosion experiments.

Findings
Outcomes displayed that the corrosion and tribocorrosion properties of CoCrMoW alloy were significantly influenced by scanning speeds. Also, these properties of the alloy increased with increasing scanning speeds. CoCrMoW samples produced at a laser scan speed of 1,000 mm/s showed the best resistance to corrosion and tribocorrosion. This could be related to the high hardness and low grain structure of the fabricated samples.

Originality/value
This paper may be a practical reference and offers insight into the effect of scanning speeds on the increase of hardness, tribological and corrosion performance of CoCrMoW alloys. This study can help in the further advancement of cobalt-chromium alloy in situ produced by SLM for both electrochemical and tribocorrosion behavior for biomedical applications.
Gen Z talent attraction in ZEV manufacturing: a corporate case study of leveraging talent analytics to optimise employer value propositions
Authors: Bilgin Mawson Omar 
Published: December 2023

Purpose
In the context of a corporate case study, this paper aims to propose and test a talent analytics model that enables organisations to optimise their employer value propositions and branding strategies in a comparative manner.

Design/methodology/approach
After the conceptual framework was translated into a quantitative model, data were collected via online self-completed questionnaires and analysed with statistical techniques.

Findings
Revealing misalignments with the employment preferences of Gen Z, the model’s capability to optimise employer value propositions and branding strategies is effectively demonstrated.

Research limitations/implications
Providing an actionable framework for corporate and academic readers, this paper has scope to serve as a guide for scholarly or practitioner talent analytics projects focused on attraction.

Originality/value
Focused exclusively on attraction, to the best of the author’s knowledge, this is the first paper to apply an in-depth talent analytics model which prescribes employer branding as a mediator variable.
Leadership styles, collaborative integrative behavior and ambidexterity in university research groups
Authors: Cardona-Cano Robinsson , López-Zapata Esteban , Velez-Ocampo Juan 
Published: December 2023

Purpose
The purpose of this study is to understand the influence of the transformational, transactional and laissez-faire leadership styles and collaborative integrative behavior of the team with respect to organizational ambidexterity (the combination of exploration and exploitation learning) in university research groups.

Design/methodology/approach
From a survey conducted with a sample of 506 researchers, members of 165 research groups, working in an emerging economy, a multiple regression model analysis was performed.

Findings
Findings of this study provide evidence that the coordinator's transformational leadership and the collaborative integrative behavior of the team positively influence organizational ambidexterity of research groups. Transactional leadership and laissez-faire style do not show any significant influence.

Originality/value
This study addresses the lack of knowledge regarding organizational learning in research groups to explore and exploit knowledge through research result transfer processes based on the organizational ambidexterity logic in higher education institutions (HEIs) from emerging economies. The study aims to contribute to the literature on leadership styles and ambidexterity in HEIs in emerging economies, particularly in Latin America, where there is still a scarcity of research on the attributes of effective leadership.
Metaverse customer journeys in tourism: building viable virtual worlds
Authors: Zhong Lina , Xu Zongqi , Morrison Alastair M. , Li Yunpeng , Zhu Mengyao 
Published: December 2023

Purpose
This study aims to examine the use of the metaverse in tourism and hospitality to comprehend better how the technology might shape customer journey management, especially relative to information provision, experiences and customer benefits.

Design/methodology/approach
This explanatory research used a two-stage approach of media analysis and practitioner interviews to analyse the interactions among tourism information provision, customer experiences and customer benefits in the metaverse. It conceptualized and mapped the consumer journey of the emerging metaverse experience, focusing on the ideas and practices of metaverse design pioneers in tourism and hospitality.

Findings
Based on the media analysis and interviews with 27 designers, the metaverse – information – experiences – benefits (MIEB) model was proposed, containing three parts (information characteristics, customer experiences and customer benefits) and 31 supporting items grouped into nine components.

Originality/value
One of the unique contributions of this research is the MIEB model for applying the metaverse in customer journey management (pre-, during- and post-trip). The findings contribute to the current literature with this model based on the practical perspectives of metaverse designers and provide insights on how to incorporate the MIEB model in applying the metaverse in tourism and hospitality management. The findings also address existing literature gaps of insufficient research on metaverse management and design through all stages of the customer travel journey and by paying attention to stakeholders’ viewpoints, including the media and designers of metaverse applications. Engaging in semi-structured interviews with pioneers of the metaverse to gain insights into the design of tourism experiences was also different from other metaverse tourism research, although this is not claimed as a significant point of innovation.
Population‐level prokaryotic community structures associated with ferromanganese nodules in the Clarion‐Clipperton Zone (Pacific Ocean) revealed by 16S rRNA gene amplicon sequencing
Authors: Tominaga Kento , Takebe Hiroaki , Murakami Chisato , Tsune Akira , Okamura Takahiko , Ikegami Takuji , Onishi Yosuke , Kamikawa Ryoma , Yoshida Takashi 
Published: December 2023

AbstractAlthough deep‐sea ferromanganese nodules are a potential resource for exploitation, their formation mechanisms remain unclear. Several nodule‐associated prokaryotic species have been identified by amplicon sequencing of 16S rRNA genes and are assumed to contribute to nodule formation. However, the recent development of amplicon sequence variant (ASV)‐level monitoring revealed that closely related prokaryotic populations within an operational taxonomic unit often exhibit distinct ecological properties. Thus, conventional species‐level monitoring might have overlooked nodule‐specific populations when distinct populations of the same species were present in surrounding environments. Herein, we examined the prokaryotic community diversity of nodules and surrounding environments at the Clarion‐Clipperton Zone in Japanese licensed areas by 16S rRNA gene amplicon sequencing with ASV‐level resolution for three cruises from 2017 to 2019. Prokaryotic community composition and diversity were distinct by habitat type: nodule, nodule‐surface mud, sediment, bottom water and water column. Most ASVs (~80%) were habitat‐specific. We identified 178 nodule‐associated ASVs and 41 ASVs associated with nodule‐surface mud via linear discriminant effect size analysis. Moreover, several ASVs, such as members of SAR324 and Woeseia, were highly specific to nodules. These nodule‐specific ASVs are promising targets for future investigation of the nodule formation process.
“Fractional replication” in single‐visit multi‐season occupancy models: Impacts of spatiotemporal autocorrelation on identifiability
Authors: Doser Jeffrey W. , Stoudt Sara 
Published: December 2023

Abstract

Understanding variation in species occupancy is an important task for conservation. When assessing occupancy patterns over multiple temporal seasons, it is recommended to visit at least a subset of sites multiple times within a season during a period of closure to account for observation biases. However, logistical constraints can inhibit re‐visitation of sites within a season, resulting in the use of single‐visit multi‐season occupancy models. Some have suggested that autocorrelation in space and/or time can provide “fractional replication” to separately estimate occupancy probability from detection probability, but the reliability of such approaches is not well understood.

We perform an extensive simulation study to assess the reliability of estimates from single‐visit multi‐season occupancy models under differing amounts of spatial and temporal autocorrelation (“fractional replication”). We assess model performance under both correctly specified models and multiple forms of model mis‐specification, and compare estimates from single‐visit models to models with varying amounts of within‐season replication. We also assess the reliability of single‐visit models to estimate occupancy probability of ovenbirds (Seiurus aurocapilla) in New Hampshire, USA.

We found less bias in estimates from single‐visit occupancy models with long‐range spatial autocorrelation in occupancy probability compared to short‐range spatial autocorrelation when the model is correctly specified. However, under certain forms of model mis‐specification, estimates from single‐visit multi‐season occupancy models were biased and had low coverage rates regardless of the characteristics of the “fractional replication”. In contrast, models with varying amounts of additional replication were robust to model mis‐specification.

Our findings suggest that “fractional replication” cannot replace true replication in terms of occupancy probability identifiability and that researchers should consider the potential inaccuracies when using single‐visit multi‐season occupancy models. We show that a little true replication can go a long way with even 10% of sites being revisited within a season leading to reasonably robust estimates even in the presence of extreme model mis‐specifications. When possible, we recommend performing multiple within‐season visits to at least a subset of spatial locations or integrating single‐visit data with other data sources to mitigate reliance on parametric assumptions required for reliable inference in single‐visit multi‐season occupancy models.
Pre‐vaccination immunotypes reveal weak and robust antibody responders to influenza vaccination
Authors: Cevirgel Alper , Shetty Sudarshan A. , Vos Martijn , Nanlohy Nening M. , Beckers Lisa , Bijvank Elske , Rots Nynke , van Beek Josine , Buisman Anne‐Marie , van Baarle Debbie 
Published: December 2023

AbstractEffective vaccine‐induced immune responses are particularly essential in older adults who face an increased risk of immunosenescence. However, the complexity and variability of the human immune system make predicting vaccine responsiveness challenging. To address this knowledge gap, our study aimed to characterize immune profiles that are predictive of vaccine responsiveness using “immunotypes” as an innovative approach. We analyzed an extensive set of innate and adaptive immune cell subsets in the whole blood of 307 individuals (aged 25–92) pre‐ and post‐influenza vaccination which we associated with day 28 hemagglutination inhibition (HI) antibody titers. Building on our previous work that stratified individuals into nine immunotypes based on immune cell subsets, we identified two pre‐vaccination immunotypes associated with weak and one showing robust day 28 antibody response. Notably, the weak responders demonstrated HLA‐DR+ T‐cell signatures, while the robust responders displayed a high naïve‐to‐memory T‐cell ratio and percentage of nonclassical monocytes. These specific signatures deepen our understanding of the relationship between the baseline of the immune system and its functional potential. This approach could enhance our ability to identify individuals at risk of immunosenescence. Our findings highlight the potential of pre‐vaccination immunotypes as an innovative tool for informing personalized vaccination strategies and improving health outcomes, particularly for aging populations.