bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach
Authors: Pankka Hanna , Lehtinen Jaakko , Ilmoniemi Risto J. , Roine Timo 
Published: January 2024

AbstractForecasting electroencephalography (EEG) signals, i.e., estimating future values of the time series based on the past ones, is essential in many real-time EEG-based applications, such as brain–computer interfaces and closed-loop brain stimulation. As these applications are becoming more and more common, the importance of a good prediction model has increased. Previously, the autoregressive model (AR) has been employed for this task — however, its prediction accuracy tends to fade quickly as multiple steps are predicted. We aim to improve on this by applying probabilistic deep learning to make robust longer-range forecasts.For this, we applied the probabilistic deep neural network model WaveNet to forecast resting-state EEG in theta- (4–7.5 Hz) and alpha-frequency (8–13 Hz) bands and compared it to the AR model.WaveNet reliably predicted EEG signals in both theta and alpha frequencies over 100 ms ahead, with mean errors of 0.8±0.6 µV (theta) and 0.7±0.5 µV (alpha), and outperformed the AR model in estimating the signal amplitude and phase. Furthermore, we found that the probabilistic approach offers a way of forecasting even more accurately while effectively discarding uncertain predictions.We demonstrate for the first time that probabilistic deep learning can be utilised to forecast resting-state EEG time series. In the future, the developed model can enhance the real-time estimation of brain states in brain–computer interfaces and brain stimulation protocols. It may also be useful for answering neuroscientific questions and for diagnostic purposes.
Consumers' attitudes on downscale extensions of a luxury automotive brand
Authors: Pedrosa Gabriel , Nobre Helena , Sousa Ana 
Published: January 2024

PurposeThis study aims to understand how consumers evaluate downscale vertical line extensions of a prestige/luxury original equipment manufacturer (OEM) in the European automotive market. The authors investigate the moderator effects of innovativeness and the need-for-status traits on the relationships between consumers' extension perceived fit (EPF), extension attitude (EA) and extension perceived value (EPV).Design/methodology/approachExperimental design with quantitative analyses based on a sample of 419 participants. Participants were randomly assigned to two treatments: low-fit and high-fit extension simulations.FindingsThe purchase intention of the downscale vertical extension of a luxury OEM brand is directly influenced by EPV and indirectly influenced by consumer EA and EPF with the parent brand. Findings also suggest that parent brand equity is transferable to extensions that present closeness and consistency with the brand’s heritage. Moreover, the need for status strengthens the relationship between the EPF and the extension perceived social value (EPSV).Originality/valueThe authors developed a realistic simulation of a downscale model of a well-known prestige/luxury car brand. The authors test the influence of innovativeness and need-for-status personal traits on consumer extension acceptance.
Understanding influences on entrepreneurship educator role identity
Authors: Brush Candida , Wraae Birgitte , Nikou Shahrokh 
Published: January 2024

PurposeDespite the considerable increase in research on entrepreneurship education, few studies examine the role of entrepreneurship educators. Similarly, most frameworks from entrepreneurship education recognize the educator’s importance in facilitating instruction and assessment, but the factors influencing the educator role are not well understood. According to the identity theory, personal factors including self-efficacy, job satisfaction and personal values influence the perspective of self, significance and anticipations that an individual in this role associates with it, determining their planning and actions. The stronger the role identity the more likely entrepreneurship educators will be in effectively developing their entrepreneurial skills as well as the overall learning experience of their students. The objective of this study is to pinpoint the factors that affect entrepreneurial role identity.Design/methodology/approachDrawing upon the identity theory, this study developed a theoretical framework and carried out an empirical investigation involving a survey of 289 entrepreneurship educators across the globe. Structural equation modeling (SEM) technique was applied to analyze and explore the factors that impact the identity of the educators in their role as entrepreneurship teachers.FindingsThe findings show that the role identity of entrepreneurship educators is significantly influenced by their self-efficacy, job satisfaction and personal values. Among these factors, self-efficacy and job satisfaction have the most significant impacts on how educators perceive their role. The implications of these results and directions for future research are also discussed.Originality/valueThe novelty of the current study is derived from its conceptualization of the antecedents of role perception among entrepreneurship educators. This study stands out as one of the earliest attempts to investigate the factors that shape an individual’s scene of self and professional identity as an entrepreneurship educator. The significance of comprehending the antecedents of role perception lies in the insights it can offer into how educators undertake and execute their role, and consequently, their effectiveness in teaching entrepreneurship.
The future of access to private archives? Public–private partnership in South African archives
Authors: Netshakhuma Nkholedzeni Sidney 
Published: January 2024

Purpose
This study aims to assess the role of the National Archives of South Africa (NARSSA) in promoting the preservation and management of private archives.

Design/methodology/approach
This study used the qualitative method, and data was collected through unstructured questionnaires and interviews. In addition, purposive sampling was used to collect data from the selected archivist.

Findings
The study found that the NARSSA raised awareness on the preservation of private archives and is also in the process of reviewing the National Archives and Records Service Act 43 of 1996 to promote the preservation and management of private archives. The study also revealed that the role of the NARSSA in enforcing compliance with Section 14 of the National Archives and Records Service Act 43 of 1996 for the proper management and coordination of private archives was ineffective because of a lack of coordination, infrastructure, training and development.

Research limitations/implications
The qualitative data was obtained from three participants with the NARSSA and two selected from private archives. The sample is small to generalise results. The public–private cooperation in archives management is limited, and this is proved by the severely limited number of participants in the research. Furthermore, the private archive in this study is limited to the liberation movement archives institutions in South Africa.

Practical implications
This study could work as a stimulus for potential approaches to conduct further research on the possible kinds of cooperation between private–public archival organisations.

Social implications
The study is innovative, in that there are very few research investigations that focused on the cooperation between private and public archives in the African region and especially in South Africa.

Originality/value
The article makes a significant contribution to the area of private–public archival organisations, especially in South Africa. It will expand the knowledge on private–public archive cooperation and management in South Africa and the rest of the African continent.
Leveraging place-based resources for quality education: insights from a forest community outreach project in Japan
Authors: Hakeem Muhammad Mohsin , Goi Hoe Chin , Frendy Frendy 
Published: January 2024

Purpose
This study aims to examine the participants’ [junior high school students and Master of business administration (MBA) consultants] perceptions and utilizations of the multidimensional place-based resources within the context of Education for Sustainable Development (ESD), specifically focusing on its alignment with the sustainable development goals (SDGs) for quality education. While place-based resources have demonstrated the potential for fostering innovative thinking and collaborative efforts, a gap exists in understanding how these resources can be effectively integrated to bolster learning and sustainable outcomes.

Design/methodology/approach
The authors adopted a single-case research methodology and conducted an in-depth exploration of the integration of place-based resources within the context of ESD using the 2021 Forest Community Outreach (FCO) Project in Ena City, Japan. Questionnaires, daily journals and consultation reports were used for data collection. This study used the coding and qualitative content analysis process to understand the significance of the five dimensions of place-based resources in fostering effective ESD practices.

Findings
The findings show the gap between interest in ESD and utilization of place-based resources as reflected in the perceptions and interests of junior high school participants. MBA consultants acknowledged the relevance of leveraging the five dimensions of place-based resources in the context of ESD. This research enriches the understanding of recognizing and harnessing different resources within the settings, emphasizing the significance of a multidimensional place-based resources approach to effectively incorporate these resources into ESD, thereby fostering learning and practical sustainability outcomes.

Originality/value
This study conducts a novel analysis of diverse dimensions within the realm of place-based resources and their profound influence on the learning experiences and creativity of participants engaged in ESD. The study lays the groundwork for the validation of place-based resource dimensions through collaborative efforts involving stakeholders within the region.
Understanding the challenges of blockchain technology adoption: evidence from China’s developing carbon markets
Authors: Chen Xing , Lloyd Ashley D. 
Published: January 2024

PurposeBlockchain is a disruptive technology that has matured to deliver robust, global, IT systems, yet adoption lags predictions. The authors explore barriers to adoption in the context of a global challenge with multiple stakeholders: integration of carbon markets. Going beyond the dominant economic-rationalistic paradigm of information system (IS) innovation adoption, the authors reduce pro-innovation bias and broaden inter-organizational scope by using technological frames theory to capture the cognitive framing of the challenges perceived within the world’s largest carbon emitter: China.Design/methodology/approachSemi-structured interviews with 15 key experts representing three communities in China’s carbon markets: IT experts in carbon markets; carbon market experts with conceptual knowledge of blockchain and carbon market experts with practical blockchain experience.FindingsPerceived technical challenges were found to be the least significant in explaining adoption. Significant challenges in five areas: social, political legal and policy (PLP), data, organizational and managerial (OM) and economic, with PLP and OM given most weight. Mapping to frames developed to encompass these challenges: nature of technology, strategic use of technology and technology readiness resolved frame incongruence that, in the case explored, did not lead to rejection of blockchain, but a decision to defer investment, increase the scope of analysis and delay the adoption decision.Originality/valueIncreases scope and resolution of IS adoption research. Technological frames theory moves from predominant economic-rational models to a social cognitive perspective. Broadens understanding of blockchain adoption in a context combining the world’s most carbon emissions with ownership of most blockchain patents, detailing socio-technical challenges and delivering practical guidance for policymakers and practitioners.
Export performance: a comprehensive bibliometric overview
Authors: Aksoy Beyza , Akpınar Ayhan , Ünüsan Çağatay 
Published: January 2024

Purpose
This study aims to present a bibliometric overview of the academic research on export performance (EP) in the business and management areas.

Design/methodology/approach
A bibliometric overview of 1,463 papers from 1968 to 2021, including performance analysis, science mapping analysis and graphical mapping, was conducted using the Scopus database. SciMAT software was used for thematic analysis and conceptual evolution mapping of the EP domain, and VOSviewer software was used for graphical visualization.

Findings
This study shows that EP research experienced spectacular growth, especially between 1998 and 2003, and the interest in this field continues to increase. Also, the USA and the UK appear to be the absolute leaders in EP research, with the best indicators of productivity and influence in all dimensions analyzed. The findings from the analysis through SciMAT indicate that “capabilities” and “R&D” are the main Motor themes that have contributed the most to the EP literature, whereas “global value chain” and “start-up” are emerging themes as new areas of interest.

Research limitations/implications
This study develops a baseline for representing certain and exhaustive insights in the EP field and specifies trends over a period. Using a single database and excluding book chapters/conference papers are limitations of this study.

Originality/value
EP is a research field that has gained wide acceptance in the academic community and international marketing literature. To the best of the authors’ knowledge, no bibliometric overview has analyzed the EP literature. This study presents the first systematic quantitative analysis of academic research on EP in the business and management areas.
Family firms, management control and digitalization effect
Authors: Amato Stefano , Broccardo Laura , Tenucci Andrea 
Published: January 2024

Purpose This study investigates the association between family firm status and the maturity level of management control systems (MCSs) by considering the moderating effect of process digitalization.Design/methodology/approach The authors conducted an empirical analysis on a sample of 106 Italian firms, utilizing both ordinary least squares and ordered logistic regression in this study.FindingsBy resorting to the MCS maturity model proposed by Marx et al. (2012), the empirical findings reveal that family firms do not differ from their nonfamily counterparts regarding MCS maturity. Furthermore, the degree of process digitalization is positively associated with the probability of adopting IT-related technologies in MCSs. Digitalization negatively moderates the relationship between family firm status and MCS maturity, resulting in family firms exhibiting a lower MCS maturity level than their nonfamily counterparts.Research limitations/implications Despite similar efforts in the digitalization process, family firms lag behind in the adoption of IT-enabled MCSs, which suggests that reduced agency issues in family firms constrain the MCS maturity level.Practical implications This study can assist practitioners in implementing a more mature MCS by considering the interplay between internal digitalization processes and family status of the firm, thereby enhancing the decision-making process.Originality/value This study adds novelty to an underexplored area at the intersection of MCSs, family firms and digitalization.
Examining the association between robo-advisory and perceived financial satisfaction
Authors: Bai Zefeng 
Published: January 2024

PurposeRobo-advisory has become an increasingly popular asset management tool in recent decades. This paper studies the association between robo-advisor usage and perceived financial satisfaction.Design/methodology/approachUsing data extracted from the National Financial Capability Study 2015 (NFCS2015), the present study carried out a logistic analysis that examines the association between robo-advisory and perceived financial satisfaction. This model also studies the interaction effect of age on this association.FindingsThe present study finds that robo-advisor usage is positively correlated with a person’s perceived financial satisfaction after controlling for covariates related to financial literacy and other demographic factors. Moreover, the present study reveals that age moderates the association between robo-advisory usage and financial satisfaction. The results are robust after regressing financial satisfaction on robo-advisory by different age groups.Originality/valueThis paper extends existing literature on robo-advisory by showing that robo-advisory usage relates to a higher level of financial satisfaction. This finding helps understand the rapidly increasing trend of robo-advisory in the financial industry. Moreover, the present study reveals a moderate effect of age on the association between robo-advisory usage and perceived financial satisfaction.
Belongingness should matter to HR managers: lessons learned from outdoor adventure sport enthusiasts
Authors: Lightner-Laws Carin A. , Norman Mario V. , Lightner Constance A. 
Published: January 2024

Purpose
The purpose of this paper is to highlight the importance of cultivating belongingness within an organization. This paper will also indicate ways human resources (HR) practitioners can enhance inclusivity and foster a more diverse workplace.

Design/methodology/approach
This paper is written for practitioners who want to create a more inclusive organization. Exploring lessons learned from an environment seemingly disparate from a typical workplace revealed common generalizable themes. HR practitioners can use these themes to better understand the need for an intentionally designed workplace that prioritizes belonging as a means of improving overall organizational efficiency.

Findings
Organizations compete globally for market share and consumers, who are nonhomogeneous. Attracting, retaining and growing a diverse talent pool that is representative of their heterogeneous customers will help organizations better understand and adjust to dynamic market demands. Research shows that promoting diversity, inclusion and belongingness in the workplace oftentimes enhances employee performance, improves organizational culture and increases profitability.

Originality/value
Learnings from outdoor adventure sports are explored to garner insight for HR professionals seeking to enhance diversity and inclusion. This paper proposes three ways HR professionals could foster a more diverse environment where employees will be more engaged, empowered and fulfilled: create safe spaces, open access to opportunities and cultivate belongingness.
Spreading the aroma of spices across India: the brand of JK Masale
Authors: De Tanmoy , S. Nandana , Ghosh Dibyarpita , Dikkatwar Ramkrishna 
Published: January 2024

Research methodology
Interviewing the protagonist and collecting information from secondary resources such as company documents, company and competitor websites, industry reports and online databases like Euromonitor International.

Case overview/synopsis
The case explores the metamorphosis of JK Masale from a small-scale family business in India to a regional player. Over a period of six decades, JK Masale (JKM) has emerged against the backdrop of a fiercely competitive spice industry. India, being a confluence of varied regional cultures, poses a diverse consumption pattern. It varies to a great extent with respect to the specific food habits prevalent in each climatic zone of the country. While the brand had successfully captured the Eastern Market and the western market of the country, Mr. Vikash Jain, Managing Director of JK Masale, contemplated to venture in Southern India and introduce new product categories. The case delves into one of the major challenges faced by JKM over the brand architecture and labelling across product categories. Thus, the case provides an excellent opportunity for budding managers to: analyse the company’s performance in the backdrop of a dynamic competitive environment; understand the nature of strategic decision-making and its appropriateness for a small family-owned business; evaluate a brand amongst brands on the architectural framework and select appropriate brand architecture for new products; and understand applicability and risks associated with growth strategies.

Complexity academic level
The case study can be positioned in both undergraduate and postgraduate level programs for courses on marketing strategy and brand management. Primarily, this case would be ideal to discuss brand relationship and brand architecture in the given context. Instructors have an option to cover concepts like market structure, company analysis, growth strategies and emergent and deliberate strategy through the case.
A gentle introduction to computer vision‐based specimen classification in ecological datasets
Authors: Blair Jarrett D. , Gaynor Kaitlyn M. , Palmer Meredith S. , Marshall Katie E. 
Published: January 2024

Abstract

Classifying specimens is a critical component of ecological research, biodiversity monitoring and conservation. However, manual classification can be prohibitively time‐consuming and expensive, limiting how much data a project can afford to process.

Computer vision, a form of machine learning, can help overcome these problems by rapidly, automatically and accurately classifying images of specimens. Given the diversity of animal species and contexts in which images are captured, there is no universal classifier for all species and use cases. As such, ecologists often need to train their own models. While numerous software programs exist to support this process, ecologists need a fundamental understanding of how computer vision works to select appropriate model workflows based on their specific use case, data types, computing resources and desired performance capabilities. Ecologists may also face characteristic quirks of ecological datasets, such as long‐tail distributions, ‘unknown’ species, similarity between species and polymorphism within species, which impact the efficacy of computer vision.

Despite growing interest in computer vision for ecology, there are few resources available to help ecologists face the challenges they are likely to encounter. Here, we present a gentle introduction for species classification using computer vision. In this manuscript and associated GitHub repository, we demonstrate how to prepare training data, basic model training procedures, and methods for model evaluation and selection. Throughout, we explore specific considerations ecologists should make when training classification models, such as data domains, feature extractors and class imbalances.

With these basics, ecologists can adjust their workflows to achieve research goals and/or account for uncertainty in downstream analysis. Our goal is to provide guidance for ecologists for getting started in or improving their use of machine learning for visual classification tasks.