bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of botanical origin on stability and crystallization of honey during storage
Authors: Schiassi Maria Cecília Evangelista Vasconcelos , Souza Vanessa Rios de , Alves Nathila Angela , Lago Amanda Maria Teixeira , Silva Sérgio Henrique , Carvalho Gabriel Ribeiro , de Resende Jaime Vilela , Queiroz Fabiana 
Published: October 2021

PurposeThe purpose of this paper was to study the effect of botanical origin on the characteristics of single-flower honeys (assa-peixe, coffee, eucalyptus, laranjeira and vassourinha), polyfloral (silvestre), extrafloral (sugarcane) and honeydew (bracatinga) during storage.Design/methodology/approachThe honeys were stored at 14 °C, and the analysis of water activity, color, absorbance, rheological behavior and microscopic analysis were performed during 6 months (T0, T30, T60, T90, T120, T150 and T180 days); quantification of sugars (fructose (F) and glucose (G)), moisture (M), F/G and G/M ratio only at T0.FindingsAll honeys showed changes during storage, and sugarcane honey stood out for presenting greater crystallization, influenced by the high content of glucose and fructose. Coffee honey showed the least crystallization. The crystallization of honeys influenced the increase in water activity, Newtonian viscosity, color and absorbance. The composition of the honeys directly influenced the crystallization process during storage.Originality/valueCrystallization is a natural process that occurs spontaneously in honey. Thus, the knowledge of the crystallization rate of honeys from different origins (botanical and geographical) during storage, is of great importance and interest for the industry, beekeepers and consumers, since each type of honey crystallizes in different ways and periods.
Exploring the link between entrepreneurship education and entrepreneurial intentions: the moderating role of educational fields
Authors: Duong Cong Doanh 
Published: October 2021

PurposeThe purpose of this research is to integrate the prediction from entrepreneurship education with the theory of planned behaviors (TPB) to build a conceptual framework and estimate the effect of entrepreneurship education on entrepreneurial intention over and above key predictors from an extended TPB model. Also, the moderating impacts of educational fields in the paths from entrepreneurial education, attitude toward entrepreneurship, subjective norms and perceived behavioral control to entrepreneurial intention are tested in this study.Design/methodology/approachThe study used a sample of 559 university students who received entrepreneurship education at 12 universities from Vietnam. Confirmatory factor analysis was utilized to test the validity and reliability of all variables and regression analyses were used to estimate coefficient paths. Then, bootstrapping method with the PROCESS approach was utilized to test the indirect correlations.FindingsThe study reveals that attitude toward entrepreneurship and perceived behavioral control were positively and strongly associated with entrepreneurial intention, while the linkage between subjective norms and entrepreneurial intention was not significant. Also, the findings show that even though entrepreneurship education did not have a direct effect on entrepreneurial intention, it increased entrepreneurial intention via attitude toward entrepreneurship and perceived behavioral control. In addition, this study finds that educational fields moderate the associations between predictors and entrepreneurial intention.Practical implicationsThis study offers both universities and policymakers options to foster youths' entrepreneurial activities.Originality/valueThis study is expected to significantly contribute to entrepreneurship literature by enriching our understanding of the interesting and crucial linkages between entrepreneurship education, attitude toward entrepreneurship, subjective norms, perceived behavioral control and entrepreneurial intention. Additionally, the current research reveals that for economic and business management students, the paths are driven from entrepreneurial education, attitude toward entrepreneurship, subjective norms and perceived behavioral control to intention to engage in entrepreneurial activities has become stronger when compared to students of majors in engineering and others.
Covid-19 and performance disclosure: does governance matter?
Authors: Elmarzouky Mahmoud , Albitar Khaldoon , Hussainey Khaled 
Published: October 2021

PurposeThis paper aims to investigate whether Covid-19 related information is associated with a higher level of performance disclosure in the annual reports. Furthermore, it examines the moderating effect of corporate governance on the relationship between Covid-19 and the performance disclosure by using three governance mechanisms: board size, board independence and gender diversity.Design/methodology/approachThe authors use quantitative content analysis. The authors applied an automated textual analysis technique to measure the level of Covid-19 information and performance disclosure for the UK Financial Times Stock Exchange all-share non-financial firms.FindingsThe authors found a significant positive relationship between the Covid-19 disclosure and the firm performance disclosure in the annual reports. The authors also find that both board independence and gender diversity moderate the relationship between the Covid-19 related information and the level of performance disclosure in the annual reports. The authors further run a robustness analysis, which confirms the main results.Practical implicationsThe finding is beneficial for the regulatory setters to better understand whether firms provide generic or meaningful Covid-19 information linked to the firm’s performance. The unique findings of this paper are relevant to regulators, governments, management, shareholders and academics.Originality/valueThe authors contribute to the literature in a unique and core research area not researched previously. The paper links the Covid-19 disclosure with the firm performance from the corporate narrative perspective. The paper underlines governance factors as a moderating role in this relationship by considering three main mechanisms: board size, board independence and gender diversity.
On the feasibility of reverse mortgages in Colombia
Authors: Benavides Franco Julian , Alonso Cifuentes Julio César , Carabalí Mosquera Jaime Andrés , Sosa Anibal 
Published: October 2021

Purpose
The Colombian Government proposed a reverse mortgage mechanism to complement retirement income in Colombia. This paper aims to study its feasibility by valuing its premia.

Design/methodology/approach
Under a reverse mortgage scheme, banks issue put options on an owner’s home. To value the option, the authors apply a risk-neutral canonical approach modeling its three sources of risk: home future value, interest rate levels and homeowner life expectancy.

Findings
In all, premia values do not seem too high. However, if future interest rates are above the simulations or home appreciation is below its historical behavior, the premia could sharply increase, jeopardizing the system viability. Limiting the loan-to-home-value ratio or fixed-term annuities are feasible alternatives to keep premium increases at bay. Complementary mechanisms may also help.

Research limitations/implications
The home price and interest rate path estimation do not include inflation dynamics; in recent years inflation level was very low. However, the future does not offer any warrants. Future research also should cap the maximum loss the bank can endure. The pandemic may cause demographic changes affecting the viability of the reverse mortgage (R.M.) program in Colombia.

Practical implications
Based on the analysis, this work suggests possible government policies to help creditors and to maintain bank risks at a reasonable level.

Social implications
An adequate reverse mortgage program may help the policymakers in Colombia to face the adverse environment for Colombia’s housing market and the pressure of its pension system. A good R.M. program generates incentives to purchase homes, given the possibility of receiving an additional rent after retirement.

Originality/value
The paper develops an econometrical improvement over previous work. The authors present a time-series analysis that includes stationarity and co-integration information to model the data-generation process of house prices and interest rates in a multivariate fashion. The authors also improve the valuation formula. Moreover, the paper presents a novel application to Colombia. The authors obtain our demographic data from the United Nations Population Division applying the Lee-Carter method to model mortality rates, which provides ample possibilities to extend reverse mortgage assessment to additional. Finally, this is the first scholarly effort to evaluate the R.M. for the Colombian case.
An ensemble learning model for driver drowsiness detection and accident prevention using the behavioral features analysis
Authors: Sharanabasappa  , Nandyal Suvarna 
Published: October 2021

PurposeIn order to prevent accidents during driving, driver drowsiness detection systems have become a hot topic for researchers. There are various types of features that can be used to detect drowsiness. Detection can be done by utilizing behavioral data, physiological measurements and vehicle-based data. The existing deep convolutional neural network (CNN) models-based ensemble approach analyzed the behavioral data comprises eye or face or head movement captured by using a camera images or videos. However, the developed model suffered from the limitation of high computational cost because of the application of approximately 140 million parameters.Design/methodology/approachThe proposed model uses significant feature parameters from the feature extraction process such as ReliefF, Infinite, Correlation, Term Variance are used for feature selection. The features that are selected are undergone for classification using ensemble classifier.FindingsThe output of these models is classified into non-drowsiness or drowsiness categories.Research limitations/implicationsIn this research work higher end camera are required to collect videos as it is cost-effective. Therefore, researches are encouraged to use the existing datasets.Practical implicationsThis paper overcomes the earlier approach. The developed model used complex deep learning models on small dataset which would also extract additional features, thereby provided a more satisfying result.Originality/valueDrowsiness can be detected at the earliest using ensemble model which restricts the number of accidents.
Airport service quality dimension and measurement: a systematic literature review and future research agenda
Authors: Usman Agus , Azis Yudi , Harsanto Budi , Azis Anton Mulyono 
Published: October 2021

PurposeThe purpose of this paper is to outline the evolution of research on airport service quality and measurement index of passenger satisfaction to explore opportunities for future research direction.Design/methodology/approachA systematic literature review was conducted involving a total final sample 27 articles published during 2000–2020, the source of the database used in this study is Emerald, ScienceDirect, Harzing's Publish or Perish with API Key based on set of inclusion/exclusion criteria for analysis and synthesis to meet the purpose of the paper.FindingsDimensions of measuring airport service quality are currently based on a process approach. There are eight dimensions of ASQ measurement practiced by the industry, which is different from the five dimensions of service quality measurement generally. There is still a theoretical and empirical gap, so one of the challenges in applying the ASQ measurement dimensions is bridging research with applications in the airport industry. Other findings, research on airport service quality measurement is currently focused on passenger satisfaction. The integration of expectation-disconfirmation theory and service profit chain models can be used in service quality, passenger satisfaction and profitability.Research limitations/implicationsThis paper seeks to contribute to and analyze limited articles on service quality at airports and identify further research areas.Originality/valueThis paper tries to explain the development of research on the dimensions of measuring service quality at airports. The author identifies a gap in airport service quality measurement dimensions used by researchers and the industry. The author believes that this study can provide a comprehensive thought on using airport service quality measurement dimensions for future research.
Consumers' intention to adopt virtual grocery shopping: do technological readiness and the optimisation of consumer learning matter?
Authors: Thomas-Francois Kimberly , Somogyi Simon 
Published: October 2021

PurposeIt has generally been anticipated that the growth of Internet technology and e-commerce would result in virtual grocery shopping (VGS) becoming a normal way of life for consumers worldwide. However, the adoption of VGS, except in China and other Asian countries, has been quite slow and there is little understanding for this reason. Using Canada as a research context, the purpose of this study was to investigate the attitudes of consumers towards VGS with a focus on their technological readiness and the impact of the optimisation of consumer learning.Design/methodology/approachA quantitative research methodology was undertaken using cluster analysis with descriptive statistics to segment the different groups of consumers from a sample of 1,034 adult respondents. Structural equation modelling (SEM) was then used to test a theoretical model for consumers’ intention to adopt VGS.FindingsThe study found that the attitudes of consumers towards virtual shopping, convenience motivation, perceived ease of use (PEOU), perceived risk and consumer learning are all factors that impact consumers' intention to adopt virtual food shopping. The research also identified four segments of consumers in the Canadian market based on their attitudes and intention to adopt VGS. These results allow grocers to target the consumer groups favourable to VGS and provide insights on the factors that can be manipulated via marketing strategies to reach these consumers.Practical implicationsRetailers are provided with insights on consumers behaviour that will allow them to target specific segments with shopping modalities.Originality/valueThis research investigated VGS, focussing on consumer learning as a socio-cultural influence as well as the consumer's technological readiness as an intention to adopt to this modality of shopping for food. These constructs have not been investigated by previous studies on food grocery shopping.
Safe operation of gas pipelines based on the control of stress corrosion cracking
Authors: Ryakhovskikh Ilya , Kashkovskiy Roman , Kaverin Aleksandr , Stolov Vladimir , Zhedulov Sergey 
Published: October 2021

PurposeThe paper is devoted to the phenomenon of stress corrosion cracking (SCC), which is an urgent problem for major operator companies that use large-diameter gas transport systems built in the second half of the last century. The aim of the study is to predict the operability of gas pipelines with SCC and ensure their safe operation.Design/methodology/approachThe methodology of the article mainly consisted of strength calculations, mathematical and analytical approaches.FindingsThe paper describes practical methods of assessing the residual service life and operability of pipes with SCC defects as part of gas pipelines, the developed approaches to assessing the point of failure of pipes, provides recommendations for developing requirements to ILI smart tools in order to detect cracks and the methods of pipe repair depending on the SCC defect parameters.Originality/valueThe originality of the study consists in the analytical description of the point of destruction of gas pipelines with SCC, assessment of their performance, as well as the definition of modern requirements for the accuracy of in-line inspection to ensure the detection of potentially dangerous SCC defects.
Nexus between Southeast Asian stock markets, bitcoin and gold: spillover effect before and during the COVID-19 pandemic
Authors: Kakinuma Yosuke 
Published: October 2021

Purpose
This study aims to provide empirical evidence on the return and volatility spillover effects between Southeast Asian stock markets, bitcoin and gold in the periods before and during the COVID-19 pandemic. The interdependence among different asset classes, the two leading stock markets in Southeast Asia (Singapore and Thailand), bitcoin and gold, is analyzed for diversification opportunities.

Design/methodology/approach
The vector autoregressive-Baba, Engle, Kraft, and Kroner-generalized autoregressive conditional heteroskedasticity model is used to capture the return and volatility spillover effects between different financial assets. The data cover the period from October 2013 to May 2021. The full period is divided into two sub-sample periods, the pre-pandemic period and the during-pandemic period, to examine whether the financial turbulence caused by COVID-19 affects the interconnectedness between the assets.

Findings
The stocks in Southeast Asia, bitcoin and gold become more interdependent during the pandemic. During turbulent times, the contagion effect is inevitable regardless of region and asset class. Furthermore, bitcoin does not provide protection for investors in Southeast Asia. The pricing mechanism and technology behind bitcoin are different from common stocks, yet the results indicate the co-movement of bitcoin and the Singaporean and Thai stocks during the crisis. Finally, risk-averse investors should ensure that gold constitutes a significant proportion of their portfolio, approximately 40%–55%. This strategy provides the most effective hedge against risk.

Originality/value
The mean return and volatility spillover is analyzed between bitcoin, gold and two preeminent stock markets in Southeast Asia. Most prior studies test the spillover effect between the same asset classes such as equities in different regions or different commodities, currencies and cryptocurrencies. Moreover, the time-series data are divided into two groups based on the structural break caused by the COVID-19 pandemic. The findings of this study offer practical implications for risk management and portfolio diversification. Diversification opportunities are becoming scarce as different financial assets witness increasing integration.
Hazards of wood sawmills in Nigeria’s cities: the role of fourth industrial revolution technologies
Authors: Ebekozien Andrew , Aigbedion Marvelous , Duru Okechukwu Saviour Dominic , Udeagwu Oguike Hyginus , Aginah Ibeabuchi Lawrence 
Published: October 2021

Purpose
Studies have proved that wood sawmill workers are exposed to high occupational risks if not well managed. In developing countries, many wood sawmills are found in urban and semi-urban areas. Studies exploring how residents near these wood sawmills perceive and react to these risks is scarce in Nigeria. The application of the fourth industrial revolution (4IR) technology is possibly one of the ways to manage the likely hazards. This study aims to investigate the possible hazards associated with timber sawmills in residential areas and the role of 4IR technologies in proffering feasible solutions to mitigate them in Nigeria’s cities.

Design/methodology/approach
Data were sourced from three cities and nine sawmills across Nigeria. Face-to-face interviews were conducted with authoritative participants (residents, environmentalists, government agencies, sawmill owners, 4IR technology experts and medical experts) who have been championing the regulation and safety of timber sawmill locations within the cities (Lagos, Benin City and Owerri) via a phenomenology type of qualitative research and supplemented by secondary sources.

Findings
Findings show that timber sawmills are located across the three cities in Nigeria and may have contributed to the health and environmental challenges of the people living in the neighbourhood. The identified hazards were grouped into three sub-themes (physical, health and environmental hazards). Findings identify robots, modularisation, cyber-physical systems, the internet of things and services and human-computer interaction as the digitalised technology that can be used in sawmills to mitigate hazards for the benefit of mankind.

Research limitations/implications
The paper is limited to hazards that residents in timber sawmills locations may face in Nigeria’s cities and data collected via face-to-face 23 interviews. The paper’s referral to past publications in the findings and discussion section compensated for the small sample size.

Practical implications
As part of this paper’s implications, the emerged recommendations will strengthen collaboration with relevant stakeholders regarding control measures via the use of 4IR technologies in timber sawmills. This will stir up policymakers to develop possible policies that will promote and create the platform for the implementation of 4IR technologies in city sawmills.

Originality/value
Apart from probably being the first paper to explore the hazards of residents in timber sawmill locations and proffer solutions via the usage of the 4IR technology, this paper’s contribution emphasis the need for in-depth future studies regarding the risk perceptions of Nigeria’s residents living in timber sawmill area.
Intraorganization conflicts of interest in hospitals adapting to a changing ecosystem
Authors: Naamati-Schneider Lior 
Published: October 2021

Purpose
Health systems function in an ecosystem that is turbulent and competitive because of demographic, economic, political, technological and lifestyle changes and sociopolitical influences, requiring hospitals to adopt comprehensive business strategies. Failure to do so may result in duplication, waste and deficits. This original article uses the prism of agency theory to examine differences in approach at two levels of hospital management and the consequent problems in the incorporation of necessary changes. Agency theory posits an inherent conflict of interest in organizations, including health organizations: the managers (agents) always aim to maximize their profit or personal interest instead of that of the owner or organization (principal), potentially causing difficulty in managing the organization. The aim is to generate recommendations for policymakers.

Design/methodology/approach
The study is based on 30 semi-structured, in-depth interviews with key figures in the health system and on two levels of hospital management: senior managers and heads of selected departments. The analysis used a categorical qualitative methodology.

Findings
The main findings are five key themes: views of business behavior, asymmetry of interests, asymmetry of information, transparency and cooperation between various levels of management and ambivalence toward business in hospitals. The two levels of management are clearly divided in terms of interests, information and activity, leading to difficulty in cooperation, efficiency and achievement of organizational goals.

Originality/value
Using agency theory, this study provides a systemic and organizational view of hospitals' management and environmental adaptation. Understanding the processes and increasing cooperation at various managerial levels can help make the system more efficient and ensure its survival in a dynamic market.