bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of intellectual capital on audit fees stickiness
Authors: Salehi Mahdi , Asadian Ahmadreza , Khansalar Ehsan 
Published: January 2023

Purpose
This study aims to evaluate the effects of intellectual capital (IC) efficiency and its components on audit fee stickiness (AFS), such as human capital (HC), organisational capital (OC), structural capital (SC) and relational capital (RC). Moreover, the moderating roles of audit industry specialisation (AIS), tenure and auditors’ market concentration are also estimated.

Design/methodology/approach
This study’s method is descriptive-correlational based on the information disclosed by listed firms on the Tehran Stock Exchange from 2012 to 2018 using 1,316 year-firm. The method used for hypothesis testing is linear regression using panel data.

Findings
The results show that all the intellectual capital components (ICCs), including HC, SC, OC and RC, negatively impact audit fees (AFS). Further analyses also show that the AIS moderates the relationship between ICCs and AFS.

Originality/value
This paper is one of the pioneer studies assessing the auditors’ response to the riskless environments driven by existing IC.
New-venture gestation processes amid Covid-19 pandemic: antecedents of Saudi female nascent entrepreneurs
Authors: Alshibani Safiya Mukhtar , Aloulou Wassim J. , Ramadani Veland 
Published: January 2023

PurposeThis research seeks to investigate the impact of individual entrepreneurial orientation (IEO) and entrepreneurial exposure on new-venture gestation activities during COVID-19 pandemic.Design/methodology/approachThis paper adopted negative binomial regression (NBR) modeling with a sample of Saudi female nascent student entrepreneurs (N = 1,032).FindingsThe research found that females' IEO is significantly and positively associated with how much progress they make in term of the number of activities they carried out in the new-venture gestation stage. Similarly, females who had high entrepreneurial exposure are more likely to commit to many activities and progress in the new venture. Therefore, those who have entrepreneurial experience perform better different new-venture gestation activities during the COVID-19 pandemic than those who have little or no experience.Originality/valueOver a transformation of demographic variables and using NBR, this paper is the first paper in Saudi Arabia that develops and tests a theoretically based model linking the perceptual entrepreneurial orientation of nascent student entrepreneurs with objectives variables to the progress of new-venture gestation activities.
Estimating labor resource requirements in construction projects using machine learning
Authors: Golabchi Hamidreza , Hammad Ahmed 
Published: January 2023

Purpose
Existing labor estimation models typically consider only certain construction project types or specific influencing factors. These models are focused on quantifying the total labor hours required, while the utilization rate of the labor during the project is not usually accounted for. This study aims to develop a novel machine learning model to predict the time series of labor resource utilization rate at the work package level.

Design/methodology/approach
More than 250 construction work packages collected over a two-year period are used to identify the main contributing factors affecting labor resource requirements. Also, a novel machine learning algorithm – Recurrent Neural Network (RNN) – is adopted to develop a forecasting model that can predict the utilization of labor resources over time.

Findings
This paper presents a robust machine learning approach for predicting labor resources’ utilization rates in construction projects based on the identified contributing factors. The machine learning approach is found to result in a reliable time series forecasting model that uses the RNN algorithm. The proposed model indicates the capability of machine learning algorithms in facilitating the traditional challenges in construction industry.

Originality/value
The findings point to the suitability of state-of-the-art machine learning techniques for developing predictive models to forecast the utilization rate of labor resources in construction projects, as well as for supporting project managers by providing forecasting tool for labor estimations at the work package level before detailed activity schedules have been generated. Accordingly, the proposed approach facilitates resource allocation and enables prioritization of available resources to enhance the overall performance of projects.
Developing a scale for export competitiveness: a mixed method approach in the minerals industry in Iran
Authors: Mohammad Shafiee Majid , Pourghanbary Zadeh Fatemeh 
Published: January 2023

Purpose
This study aims to identify the main factors affecting export competitiveness and its barriers, focusing on the minerals industry so that a scale is achieved for measuring export competitiveness in this industry.

Design/methodology/approach
The research was conducted with a mixed method approach in the minerals industry. Among the active companies involved in this industry, 34 export companies and export management companies were selected and evaluated. In the qualitative phase, 18 experts and managers of the industry were interviewed to identify the factors affecting the export competitiveness of these companies and the barriers ahead of them. In the quantitative phase, a questionnaire was distributed among 412 managers and experts in this industry to categorize the identified factors and to measure the relationships among them. For data analysis in the qualitative phase, theme analysis was used. For the quantitative phase, factor analysis and structural equation modeling were adopted.

Findings
In addition to identifying the main components affecting the competitiveness of companies in exporting minerals as well as the main barriers ahead of them, the findings of the current research categorized these components using factor analysis. These components were categorized into factors, such as manufacturing factors, demand conditions, related and supporting industries, structural factors, competitive strategy and governmental supports. Afterward, their impacts on export competitiveness were measured and supported.

Originality/value
Although some studies have been conducted to examine the competitiveness in different industries, no research has been found that has examined and identified the main factors affecting export competitiveness and their impacts in the minerals industry with a mixed quantitative and qualitative approach. The findings of this research may help managers and policymakers, at the industrial and national levels, to reach a scale for assessing the export companies involved in this industry by identifying the most essential factors of export competitiveness of minerals. Furthermore, the findings of this research can act as a model for future researchers to develop a scale for export competitiveness in other industries.
Revisiting and updating the state of library open source software research
Authors: Choi Namjoo 
Published: January 2023

Purpose
The purpose of this paper is to revisit and update Palmer and Choi (2014), which conducted a descriptive literature review on open source software (OSS) studies published by the end of February 2013 in the library context.

Design/methodology/approach
The same article search and filtering procedures used in Palmer and Choi (2014) were used, resulting in a total sample size of 105 articles. These articles were then examined based on the same six variables (i.e. publication year, publication outlet, software type, article type, library type and article topic) from Palmer and Choi (2014) along with two new variables (i.e., study country and prolific authors).

Findings
The volume of research articles was found to be in a downwards trend since 2010. As suggested by Palmer and Choi (2014), survey research increased and was found to be the second most popular article type. Regarding library types, the proportion of articles in the context of academic and research libraries was found to have expanded even further. As to article topics, perceptions, which investigates users’ (or non-users’) various perceptions towards OSS, was newly added and was ranked fourth. Given the maturity of the research stream, two new variables (i.e., study country and prolific authors) were examined, and the findings from analyzing them are also presented.

Originality/value
By examining library OSS articles published between March 2013 and February 2022, this study uncovers changes and developments in the research since Palmer and Choi (2014), which provides a picture of where the research stands now with several updated and new implications.
Collaboration between researchers and practitioners on developing facilities management standards and guidelines
Authors: Jensen Per Anker , Nielsen Susanne Balslev , Rasmussen Helle Lohmann 
Published: January 2023

Purpose
The purpose of this paper is to investigate the collaboration between researchers and practitioners on developing standards and guidelines for Facilities Management (FM).

Design/methodology/approach
This paper is based on a longitudinal case study on research on FM value adding and its impact on FM standardization and development of a FM Value Guide. The sources used are literature and documents on FM value adding and standardization, published and planned FM standards, the FM Value Guide, internal documents and participant observations and experiences. All authors of this paper have both research and practical background. Two of them have been – and one still is – actively involved in developing European and international FM standards, and all three have been involved in developing the FM Value Guide. The research methodology can be characterized as retrospective action research.

Findings
The literature review shows that even though there are many references to standards in research papers, particularly in relation to definitions of concepts, there are only few studies on how research influences standardization and how researchers collaborate with practitioners on developing standards and guidelines. This paper presents a case study showing how research can contribute to standardization and development of guidelines in collaboration with practitioners and makes suggestions on how such collaboration can be improved.

Practical implications
The results of this paper provide understanding and inspiration for how researchers and practitioners can collaborate in the development of standards and guidelines.

Originality/value
To the best of the authors’ knowledge, this paper is the first study on collaboration between researchers and practitioners on developing FM standards and guidelines.
Market dynamism and sustainability in heritage tourism destinations: The enhancing role of bridging capital
Authors: Parra-Requena Gloria , Ruiz-Ortega Maria Jose , Rodrigo-Alarcón Job , García-Villaverde Pedro M. 
Published: January 2023

PurposeIn recent years, interest in analysing the conceptualisation, measurement, determinants and consequences of sustainability orientation (SO) has intensified. The authors respond to a growing demand for research that delves into external and relational factors of SO in the context of hospitality and tourism industry. This paper aims to analyse how market dynamism (MD) influences the SO of firms in heritage tourism destinations (HTDs) and how bridging capital affects this relationship.Design/methodology/approachThe authors empirically analysed a sample of 238 companies in the UNESCO World Heritage Cities of Peru. The proposed hypotheses have been tested using partial least squares structural equation modelling.FindingsThe results show a curvilinear relationship between MD and SO. Furthermore, bridging capital enhances the effects of MD, reducing the focal width of the U-shaped curve. Specifically, when hospitality and tourism firms (HTFs) in tourist destinations operate in environments with low-medium levels of dynamism, the diverse links generated slow down the development of an SO. However, the more dynamic the environment, the greater is the SO of firms with large amounts of bridging capital.Practical implicationsThe findings highlight the importance of conducting an analysis based on a contingent approach that considers the coherence between external elements of the environment and internal factors. Such an approach helps to understand how HTFs in developing countries establish their SO. Managers should be aware of changes in demand and seek coherence between the level of MD and their inter-organisational relationships, and so be able to assess potential opportunities through developing an SO.Originality/valueThis study contributes to a better understanding of the sustainability commitment of HTFs in the sustainability of HTDs. This study connects the population ecology and social capital approaches, explaining this relationship from a disaggregated perspective – social and environmental – in the context of a developing country.
Travel medicine in hospitality: an interdisciplinary perspective
Authors: Hu Fangli , Wen Jun , Zheng Danni , Wang Wei 
Published: January 2023

Purpose
This paper aims to introduce an under-researched concept, travel medicine, to the hospitality field and proposes future research directions. This paper also highlights the need to acknowledge the missing link between hospitality and medical science and encourages research on the health of hotel guests, especially those with mental disorders.

Design/methodology/approach
By synthesizing relevant literature, this study proposes a conceptual framework focused on identifying and filling knowledge gaps between hospitality and medical science. Pathways for empirical research on hotel guests’ travel health are suggested accordingly.

Findings
This paper reveals that the topic of travel medicine has been neglected in hospitality, especially in relation to vulnerable hotel guests. Additionally, this study suggests that researchers should move beyond the confines of social science and conduct interdisciplinary hospitality studies. In-depth analyses of hotel guests’ health and safety are also recommended.

Research limitations/implications
This conceptual piece serves as a “provocation” that is exploratory, thus laying a foundation for future interdisciplinary studies bridging hospitality and medical science. This paper offers practical significance for hospitality stakeholders (i.e. academics, practitioners, hotel guests and society) and also provides guidelines on how to create vulnerability-friendly hospitality environments.

Originality/value
To the best of the authors’ knowledge, this study takes an important step toward interdisciplinary research between hospitality and medical science through the lens of travel medicine. This paper offers insight to bridge these disciplines and extend hospitality research into medical science. This paper further identifies an under-investigated topic and feasible research avenues that can offer timely solutions for hospitality academics and practitioners.
Aggression in schizophrenia, bipolar and major depression disorder
Authors: Najafzadeh Mohammad Javad , Ghazanfari Pour Sadra , Divsalar Parisa 
Published: January 2023

Purpose
The risk of aggression is higher among people with psychiatric disorders. This study aims to determine the association of aggression with schizophrenia, bipolar disorder (BD) and major depressive disorder (MDD) in patients referred to Shahid Beheshti Teaching Hospital in Kerman.

Design/methodology/approach
This was a cross-sectional study of 518 patients diagnosed with schizophrenia, BD and MDD who met the inclusion criteria and were compared with a comparison group. All participants completed the Buss–Perry Aggression Questionnaire (BPAQ). Independent samples t-test and Pearson correlation coefficient were used to investigate the relationship between the score of BPAQ and other variables. The Beck Depression Inventory (BDI-13), Young Mania Rating Scale (YMRS) and Positive and Negative Symptom Scale (PANSS) were completed by MDD, BD and schizophrenia patients, respectively.

Findings
The mean score of total aggression and its components in the comparison group was significantly (P-value = 0.001) lower than that of the other groups. However, no significant difference was observed between the three schizophrenia, MDD and BD groups. The total aggression score of BPAQ had a significant positive correlation with BDI-13 and YMRS and a significant negative correlation with the PANSS score. Single patients with schizophrenia and people in the comparison group with lower education levels had a higher total aggression score.

Originality/value
Suffering from BD, MDD and schizophrenia, especially in single patients with a lower education level, is associated with physical and verbal aggression, anger and hostility, which emphasizes the need for periodic examination and screening of aggressive behaviors in these patients.
Investigating customers’ responses to artificial intelligence chatbots in online travel agencies: the moderating role of product familiarity
Authors: Zhu Yao , Zhang Rongteng (Renata) , Zou Yongguang , Jin Dan 
Published: January 2023

Purpose
This paper aims to examine how consumers’ perceptions of artificial intelligence (AI) chatbots influence individuals’ cognitive and emotional states and their subsequent behavioural intentions vis-à-vis online travel agencies (OTAs).

Design/methodology/approach
The survey sample comprised 566 customers who had experienced the use of travel AI chatbots in China using a combination of online and offline questionnaires. Partial least squares structural equation modelling was used to test the hypotheses.

Findings
The results revealed that interaction and information quality, as AI chatbot stimuli, significantly increase potential tourists’ trust and purchase intention. Perceived usefulness plays a mediating role in the relationship among interactivity, information quality, customer trust and purchase intention. Furthermore, the findings indicated that customers with high product familiarity exhibited greater trust in products demonstrating a high level of perceived usefulness.

Originality/value
By integrating cognitive consistency theory, this study theoretically validates the applicability of the stimulus–organism–response framework on AI chatbots and provides academics with useful insights regarding the influence mechanisms of human–computer interaction and information quality on customer response within OTA settings.
How long should a patron ban be: an examination of police-imposed barring notice records in Western Australia
Authors: Farmer Clare , Miller Peter , Taylor Nicholas , Baldwin Ryan 
Published: January 2023

PurposePatron banning is widely used in response to disorderly behaviours in/around licensed venues, but there has been limited analysis of specific policies. This paper explores key findings in relation to police-imposed barring notices in Western Australia (WA).Design/methodology/approachWA Police provided de-identified data for 4,023 barring notices imposed between 2011 and 2020 and offender records for each recipient, to 30 June 2020. The data were analysed to identify patterns and trends in relation to ban length, recipient type and associated offending.FindingsMean ban lengths increased across the period (from 4.46 months in 2015 to 6.82 months in 2019). Longer initial bans (of 6–12 months) were associated with a lower likelihood of a subsequent ban – with each additional month associated with an 11.4% increase in the likelihood of not receiving a second ban. Across the dataset, some notable anomalies were identified for individuals categorised as prolific offenders.Originality/valueResearch examining the effects of patron banning is limited but, to date, has generally not supported presumptions of improved patron behaviour. WA adopts an individualised approach to barring notice lengths, following review of the incident and offender. The findings suggest that, while barring policy is appropriate, a number of operational refinements can help WA Police to optimise their behavioural effect/s.
Influences of modified fiber inclusion with varying particle size on corn starch‐based extrudate expansion
Authors: Dey Debomitra , Gu Bon‐Jae , Ek Pichmony , Ross Carolyn F. , Saunders Steven R. , Ganjyal Girish M. 
Published: January 2023

AbstractThe inclusion of cellulose nanocrystals (CNC) and microcrystalline cellulose (MCC) during extrusion processing of corn starch (CS) is presented in this study. Blends were prepared by incorporating CNC and MCC at different concentrations, 1%, 3%, 5%, and 10% w/w in CS. The crystallinity index (CrI) of CNC and MCC was determined using X‐ray diffraction, and the chemical functionality of CNC, MCC, and CS was studied using Fourier transform infrared spectroscopy. The pasting properties of the blends were studied using Micro Visco‐Amylo‐Graph before extrusion. The blends were preconditioned to 18 ± 0.5% (w.b.) moisture and extruded using a twin‐screw extruder at 200 and 250 rpm at 140°C. CS‐CNC's expansion ratio (ER) values were 2.95 to 3.35 and 2.72 to 3.22 for MCC. CNC's CrI and particle size were significantly lower than MCC, allowing CNC‐based extrudates to have ER values similar to the control even at high CNC concentration (≤10% w/w). This study demonstrated that fiber with particle size <100 µm can be added in direct‐expanded product formulations at high concentrations without negatively influencing the extrudate texture while offering increased nutritional value.Practical ApplicationThis study gives insight into the potential application of cellulose nanocrystals and microcrystalline cellulose in manufacturing direct‐expanded extruded products, providing high fiber content without compromising the product quality. This knowledge could also be translated into manufacturing other food products such as breakfast cereals, pasta, and bread.
CT‐guided percutaneous transthoracic needle biopsy (PTNB): A thoracic surgeon's learning curve and experience summary
Authors: Hong Tao , Ji Guijuan , Sun Teng , Gui Xin , Ma Tianyue , Zhang Hao 
Published: January 2023

AbstractBackgroundFew studies have investigated the learning process of percutaneous transthoracic needle biopsy (PTNB). Here, we aimed to evaluate the number of cases required to achieve proficiency by plotting the learning curve of PTNB.MethodsData were collected from 94 consecutive patients who underwent computed tomography–guided PTNB by a thoracic surgeon at the Affiliated Hospital of Xuzhou Medical University between May 2021 and February 2022. The data collected included patient information, relevant examination results, intraoperative parameters, postoperative complications, and diagnostic results.ResultsThe inflection points of the cumulative sum curve were around cases 13 and 24, according to which three phases were identified, including phase I, phase II, and phase III. A significant downtrend was observed regarding operative time (phase I, 26.53 ± 9.13 min vs. phase III, 18.42 ± 4.29 min, p < 0.05), rate of false‐negative (phase I, 15.4% vs. phase III, 5.7%; p < 0.05), rate of pneumothorax (phase I, 30.8% vs. phase III, 12.9%; p < 0.05), and rate of hemoptysis (phase I, 15.4% vs. phase III, 2.9%; p < 0.05).ConclusionsThirteen cases were accumulated to lay the technical foundation, and 24 cases were required to achieve proficiency. In this study we summarize our own experience and provide specific guidance for young doctors with no experience in biopsy.