bluuebunny/crossref_metadata_2025_split huggingface dataset:
An exploration of female underrepresentation on executive boards in the Dutch hotel industry through an ethical lens
Authors: Lereculey-Péran Diane , Lombarts Angelique , Brannon David William 
Published: January 2022

PurposeThis paper elucidates female underrepresentation on executive boards in the Dutch hotel industry through a “feminist” stakeholder perspective, which persists despite public opinion and government initiatives to resolve this enigma. It contributes to this discussion by examining Rhenish governance structures through a “feminist” stakeholder-focused rationale, complementing prevailing Anglo-Saxon shareholder-focused governance research.Design/methodology/approachEleven in-depth, semi-structured interviews were conducted with hotel executive board representatives and five with sublevel management representatives. Saturation was achieved by interviewing all females on Dutch hotel corporate boards regarding their career experiences compared with those of female general managers and male counterparts.FindingsThis paper finds a prevailing “masculinist” perspective of an idealized shareholder-orientated executive and a “feminist” perspective of a humanized stakeholder-orientated executive expressed within the interviews. While the former sacrifices family for their career, the latter balances their family with their career. The former fosters presupposed gender norms, with females commonly sacrificing their careers while males sacrifice their families. Notably, most executives predominantly supported the humanized stakeholder-orientated executive, while recognizing that micro-, meso- and macro-structural barriers remain.Originality/valueThis paper addresses a lacuna in the ethical literature in exploring female executive representation in Rhenish stakeholder-focused governance structures, as opposed to Anglo-Saxon shareholder-focused ones. It found a “masculinist” perspective of an idealized shareholder-focused executive archetype and a “feminist” perspective of a humanized stakeholder-focused executive archetype. Notably, contrary to perceived business norms, several interviewees rejected the former as it is incompatible with family and work, instead seeking the latter which balances between family and work.
How coaching services help early stage entrepreneurs: an exploration of gender differences
Authors: Nicholls-Nixon Charlene L. , Maxheimer Mariah M. 
Published: January 2022

PurposeEntrepreneurial support organizations, such as business incubators and accelerators (BIAs), provide coaching as a core element of their service offering for startups. Yet little is known about how coaching creates value from the entrepreneur's perspective. This is an important issue given that entrepreneurship is recognized as a gendered phenomenon. The purpose of this article is to explore how the coaching services provided during incubation create value for men and women entrepreneurs.Design/methodology/approachFocusing on university business incubators, our comparative qualitative study of 18 men and women entrepreneurs takes a grounded theorizing approach, and draws abductively on entrepreneurial learning theory, to explore the dimensions of coaching services that support venture development and explain gender differences.FindingsThe emergent explanatory model suggests that venture development is supported by coaching service design (at the incubator level) and by coaching content and rapport (at the entrepreneur-coach dyad level). Gender differences were observed in the emphasis placed on accessibility of coaching services provided by the incubator and the guidance provided by the coaches. We theorize that these findings reflect differences in entrepreneurial learning.Practical implicationsTo better support entrepreneurial learning, gender differences should be considered in both the design and delivery of coaching services.Originality/valueOur findings provide deeper insight about how coaching services create value for entrepreneurs by revealing explanatory dimensions at two levels of analysis and theorizing the interrelationship between entrepreneurial learning, gender and venture development.
Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
Authors: Andariesta Dinda Thalia , Wasesa Meditya 
Published: January 2022

PurposeThis research presents machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data.Design/methodology/approachTo develop the prediction models, this research utilizes multisource Internet data from TripAdvisor travel forum and Google Trends. Temporal factors, posts and comments, search queries index and previous tourist arrivals records are set as predictors. Four sets of predictors and three distinct data compositions were utilized for training the machine learning models, namely artificial neural networks (ANNs), support vector regression (SVR) and random forest (RF). To evaluate the models, this research uses three accuracy metrics, namely root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE).FindingsPrediction models trained using multisource Internet data predictors have better accuracy than those trained using single-source Internet data or other predictors. In addition, using more training sets that cover the phenomenon of interest, such as COVID-19, will enhance the prediction model's learning process and accuracy. The experiments show that the RF models have better prediction accuracy than the ANN and SVR models.Originality/valueFirst, this study pioneers the practice of a multisource Internet data approach in predicting tourist arrivals amid the unprecedented COVID-19 pandemic. Second, the use of multisource Internet data to improve prediction performance is validated with real empirical data. Finally, this is one of the few papers to provide perspectives on the current dynamics of Indonesia's tourism demand.
Perception of the Malaysian Federal Government accountants of the usefulness of financial information under an accrual accounting system: a preliminary assessment
Authors: Ismail Suhaiza 
Published: January 2022

Purpose
The objective of this study is to examine the perceived usefulness of accrual accounting-based financial information for accountability and for supporting decision-making in public sector organisations.

Design/methodology/approach
A questionnaire survey adapted from Kober et al. (2010) was used to survey Malaysian Federal Government accountants to ascertain their views on the usefulness of accrual accounting information across 12 situations regarding accountability and decision-making. Mean scores and mean score ranking were computed on a total of 165 usable responses received. The independent t-test was conducted to investigate the differences in the perception between “accountants with” and the “accountants without” prior work experience in the private sector.

Findings
The study provides evidence that Malaysian Federal Government accountants consider accrual accounting information as very useful for decision-making. The three most important decision-usefulness indicators in the survey are “To assist in managing the department’s assets and liabilities”, “To assess cash flow needs of a department” and “For departmental resource allocation decisions”. The least useful accrual accounting information as perceived by the Malaysian public sector accountants is “To assist in discharging the department’s accountability obligations”.

Originality/value
The study provides valuable insights into the extent to which accrual accounting information is considered useful for accountability and decision-making, lending support to the Malaysian Government’s reform agenda of moving towards using accrual accounting in public sector organisations at the federal level.
The evolution of data analytics through the lens of business cases
Authors: Sharafuddin Sepanta , Belik Ivan 
Published: January 2022

PurposeThe present study provides a comprehensive review of the evolution of data analytics using real-world cases. The purpose is to provide a distinct overview of where the phenomenon was derived from, where it currently stands and where it is heading.Design/methodology/approachThree case studies were selected to represent three different eras of data analytics: Yesterday (1950s–1990s), Today (2000s–2020s) and Tomorrow (2030s–2050s).FindingsRapid changes in information technologies more likely moving us towards a more cyber-physical society, where an increasing number of devices, people and corporations are connected. We can expect the development of a more connected cyber society, open for data exchange than ever before.Social implicationsThe analysis of technological trends through the lens of representative real-world cases helps to clarify where data analytics was derived from, where it currently stands and where it is heading towards. The presented case studies accentuate that data analytics is constantly evolving with no signs of stagnation.Originality/valueAs the field of data analytics is constantly evolving, the study of its evolution based on particular studies aims to better understand the paradigm shift in data analytics and the resulting technological advances in the IT business through the representative real-life cases.
A bibliometric analysis of research in design for additive manufacturing
Authors: Obi Martins Ugonna , Pradel Patrick , Sinclair Matt , Bibb Richard 
Published: January 2022

Purpose
The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry.

Design/methodology/approach
In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis.

Findings
The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination.

Originality/value
A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.
Plantar pressure measurement system based on piezoelectric sensor: a review
Authors: Li Xiang , Wang Keyi , Wang Yan Lin , Wang Kui Cheng 
Published: January 2022

Purpose
Plantar force is the interface pressure existing between the foot plantar surface and the shoe sole during static or dynamic gait. Plantar force derived from gait and posture plays a critical role for rehabilitation, footwear design, clinical diagnostics and sports activities, and so on. This paper aims to review plantar force measurement technologies based on piezoelectric materials, which can make the reader understand preliminary works systematically and provide convenience for researchers to further study.

Design/methodology/approach
The review introduces working principle of piezoelectric sensor, structures and hardware design of plantar force measurement systems based on piezoelectric materials. The structures of sensors in plantar force measurement systems can be divided into four kinds, including monolayered sensor, multilayered sensor, tri-axial sensor and other sensor. The previous studies about plantar force measurement system based on piezoelectric technology are reviewed in detail, and their characteristics and performances are compared.

Findings
A good deal of measurement technologies have been studied by researchers to detect and analyze the plantar force. Among these measurement technologies, taking advantage of easy fabrication and high sensitivity, piezoelectric sensor is an ideal candidate sensing element. However, the number and arrangement of the sensors will influence the characteristics and performances of plantar force measurement systems. Therefore, it is necessary to further study plantar force measurement system for better performances.

Originality/value
So far, many plantar force measurement systems have been proposed, and several reviews already introduced plantar force measurement systems in the aspect of types of pressure sensors, experimental setups for foot pressure measurement analysis and the technologies used in plantar shear stress measurements. However, this paper reviews plantar force measurement systems based on piezoelectric materials. The structures of piezoelectric sensors in the measurement systems are discussed. Hardware design applied to measurement system is summarized. Moreover, the main point of further study is presented in this paper.
Integrated modelling of seabird‐habitat associations from multi‐platform data: A review
Authors: Matthiopoulos Jason , Wakefield Ewan , Jeglinski Jana W. E. , Furness Robert W. , Trinder Mark , Tyler Glen , Mccluskie Aly , Allen Sophy , Braithwaite Janelle , Evans Tom 
Published: January 2022

AbstractQuantifying current and future overlap between human activities and wildlife is a core and growing aim of ecological study, spurring ever more spatial data collection and diversification of observation techniques (surveys, telemetry, citizen science, etc.).To meet this aim, data collected via multiple platforms, across different geographical and temporal regions, may need to be integrated, yet many ecologists remain unclear about the relationships between data types and therefore how they can be combined.In seabird research, these applied questions can be particularly pressing because many human activities (e.g. tidal and wind renewables, fishing, shipping, etc.) are concentrated in coastal waters, where many seabirds also aggregate, especially while breeding. In addition, seabird coloniality and density dependence present unique analytical challenges.We review the relevant literature on data integration and illustrate it with example models and data (in an accompanying R‐library and supplementary vignette ), to derive methodological and quantitative guidelines for best practice in conducting joint inference for multi‐platform data. We use systematic survey data to motivate the key arguments, but also overview developments in integration with other data (e.g. telemetry tracking, citizen science, mark–recapture).We make recommendations on (a) the use of response and explanatory data, (b) the treatment of survey design and observation errors, (c) exploiting dependencies across space and time, (d) accounting for biological phenomena, such as commuting costs from the colony (i.e. accessibility) and density dependence, and (e) the choice of statistical framework.Synthesis and application. Integrated analysis of multi‐platform data turns many of the seabird‐specific challenges into opportunities for inferring habitat associations and predicting future distributions. Our review proposes practical recommendations for data collection and analysis that will allow seabird conservation to derive maximal benefits from these opportunities.
Unveil the unseen: Using LiDAR to capture time‐lag dynamics in the herbaceous layer of European temperate forests
Authors: Lenoir Jonathan , Gril Eva , Durrieu Sylvie , Horen Hélène , Laslier Marianne , Lembrechts Jonas J. , Zellweger Florian , Alleaume Samuel , Brasseur Boris , Buridant Jérôme , Dayal Karun , De Frenne Pieter , Gallet‐Moron Emilie , Marrec Ronan , Meeussen Camille , Rocchini Duccio , Van Meerbeek Koenraad , Decocq Guillaume 
Published: January 2022

Abstract

To understand time‐lag dynamics in the response of biodiversity to contemporary environmental changes (e.g. macroclimate warming and atmospheric pollution), we need to consider former anthropogenic forcing factors such as past land uses and management practices that can have both compounding and confounding effects. This is especially true in European temperate forests, where legacies from past human activities have left strong imprints on today’s understorey plant species composition, generating long‐term lagging effects which can be mistakenly attributed to more recent macro‐environmental changes.

By combining the expertise of plant, soil and historical ecologists together with remote sensing scientists, we review the potential of light detection and ranging (LiDAR) to unveil ghosts from the past in terms of former land uses and management practices.

We show that imprints from past land uses and management practices can still be captured today through well‐chosen LiDAR‐derived variables describing, at sub‐decimetre scale, the vertical and horizontal micro‐variations of vegetation and terrain structure hidden below treetops.

Synthesis. We encourage plant and soil ecologists to use LiDAR data and to work with historians, archaeologists and remote sensing scientists in order to select meaningful LiDAR‐derived variables to account for time‐lagged biotic responses to long‐term macro‐environmental changes.
What would it take to meaningfully attend to ethnicity and race in health research? Learning from a trial intervention development study
Authors: Rai Tanvi , Hinton Lisa , McManus Richard J. , Pope Catherine 
Published: January 2022

AbstractThe lack of ethnic diversity in health research participation is a multi‐dimensional problem. Racism and intersectional disadvantage compel us to use racial and ethnic categories to explore health, but race theorists warn that these can be essentialising and pathologising. Yet, the alternative, the pursuit of colour‐blindness, can render the impact of race and ethnicity on health invisible. This paper describes the attempt to recruit an ethnically diverse sample to inform the development of an intervention for stroke patients. The study revealed deep uncertainties and tensions, which we use to re‐examine our own positionalities and perspectives. We focus on the experiences of researchers and participants to show how ‘usual’ research practices are unwittingly exclusionary and promote ‘methodological whiteness’ (The British Journal of Sociology, 2017, 68, S214). Calls for greater diversity in research are frequently made, yet health research remains tainted by the use of problematic epistemological starting points, rendering participation by minoritised people uneasy. Medical sociologists, especially those engaged in clinical trials, have a vital role to play in recalibrating health research to attend to ethnicity and race. This requires us to reflect on our practices, to recognise where we are complicit in replicating social inequalities and to actively engage with communities to produce more inclusive research.
A single dose of pembrolizumab treatment causing a profound and durable response in lung cancer
Authors: Kondo Yoshihiro , Kunishige Michihiro , Kadota Naoki , Okano Yoshio , Machida Hisanori , Hatakeyama Nobuo , Naruse Keishi , Shinohara Tsutomu , Takeuchi Eiji 
Published: January 2022

AbstractProfound and durable responses to a single dose of pembrolizumab in lung cancer are rare. We encountered a non‐small cell lung cancer patient showing a deep and durable response with a single dose of pembrolizumab. A 79‐year‐old man reported bloody sputum for several weeks and visited a general physician. A chest x‐ray revealed a tumor shadow in the right middle lung field at that time, and the patient was referred to our hospital. He was diagnosed with adenocarcinoma of the lung by transbronchial biopsy. The expression of programmed death ligand 1 in tumor cells was 100% by immunostaining. Based on the above, immunotherapy with pembrolizumab was performed as first‐line therapy. Cancer cells had significantly shrunk at the end of the first cycle. The patient had grade‐3 immune‐related hepatitis at the end of the first cycle. Pembrolizumab treatment was stopped and prednisolone (80 mg/body) was initiated. Subsequently, liver function normalized, and prednisolone was tapered and discontinued. Since then, no tumor recurrence has been detected for 1.5 years without treatment. There have been few reports of profound and durable responses to a single dose of pembrolizumab in lung cancer. The results indicate that a single dose of pembrolizumab alone may be sufficient to cause durable response and serious immune‐related adverse events in some cases.
Reconstruction of the trachea and carina: Surgical reconstruction, autologous tissue transplantation, allograft transplantation, and bioengineering
Authors: Ren Jianghao , Xu Yuanyuan , Zhiyi Guo , Ren Ting , Ren Jiangbin , Wang Kan , Luo Yiqing , Zhu Mingyang , Tan Qiang 
Published: January 2022

AbstractThere have been significant advancements in medical techniques in the present epoch, with the emergence of some novel operative substitutes. However, the treatment of tracheal defects still faces tremendous challenges and there is, as yet, no consensus on tracheal and carinal reconstruction. In addition, surgical outcomes vary in different individuals, which results in an ambiguous future for tracheal surgery. Although transplantation was once an effective and promising method, it is limited by a shortage of donors and immune rejection. The development of bioengineering has provided an alternative for the treatment of tracheal defects, but this discipline is full of ethical controversy and hindered by limited cognition in this area. Meanwhile, progression of this technique is blocked by a deficiency in ideal materials. The trachea together with the carina is still the last unpaired organ in thoracic surgery and propososal of a favorable scheme to remove this dilemma is urgently required. In this review, four main tracheal reconstruction methods, especially surgical techniques, are evaluated, and a thorough interpretation conducted.
Family well‐being during the COVID‐19 lockdown in Italy: Gender differences and solidarity networks of care
Authors: Rania Nadia , Coppola Ilaria , Lagomarsino Francesca , Parisi Rosa 
Published: January 2022

AbstractDuring the COVID‐19 pandemic, families experienced new challenges related to reorganizing living spaces and the need to renegotiate domestic and care roles. This paper aims to understand how Italian families have reacted to this situation with respect to psychological well‐being, the management of domestic and care activities and solidarity networks of care. The participants were 560 Italian subjects who reported having a parental role. The protocol included a measure of well‐being (the General Health Questionnaire‐12) and some questions related to the time dedicated to domestic activities or to caring for people, the perception of conflict within the family and solidarity networks of care. The data underline how mothers continued to devote more time to home and care activities than fathers, despite the presence of both partners at home during the lockdown. The results also indicate that mothers participated to a greater extent than fathers in solidarity activities, confirming that this dimension is linked to gender. Furthermore, fathers and mothers perceived a lower condition of well‐being in relation to the pre‐pandemic period.