bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gender differentials and implicit feedback on online video content: enhancing user interest evaluation
Authors: Chong Woonkian , Rudkin Simon , Zhang Junhui 
Published: June 2019

PurposeExponential growth in online video content makes viewing choice and video promotion increasingly challenging. While explicit recommendation systems have value, they inherently distract the user from normal behaviour and are open to numerous biases. To enhance user interest evaluation accuracy, the purpose of this paper is to comprehensively examine the relationship between implicit feedback and online video content, and reviews gender differentials in the interest indicated by a comprehensive set of viewer responses.Design/methodology/approachThis paper includes 200 useable observations based on an experiment of user interaction with the Youku platform (one of the largest video-hosting websites in China). Logistic regression was employed for its simple interpretation to test the proposed hypotheses.FindingsThe findings demonstrate gender differentials in cursor movement behaviour, explainable via well-studied splits in personality, biological factors, primitive behaviour and emotion management. This work offers a solution to the sparsity of work on implicit feedback, contributing to the literature that combines explicit and implicit feedback.Practical implicationsThis study offers a launch point for further work on human–computer interaction, and highlights the importance of looking beyond individual metrics to embrace wider human traits in video site design and implementation.Originality/valueThis paper links implicit feedback to online video content for the first time, and demonstrates its value as an interest capturing tool. By reviewing gender differentials in the interest indicated by a comprehensive set of viewer responses, this paper indicates how user characteristics remain critical. Consequently, this work signposts highly fruitful directions for both practitioners and researchers.
Dual mechanisms of reinforcement reward and habit in driving smartphone addiction
Authors: Chen Chongyang , Zhang Kem Z.K. , Gong Xiang , Lee Matthew 
Published: June 2019

Purpose
In the limited existing research on smartphone addiction, reinforcement reward and automatic habit have been identified as two distinct underlying mechanisms. The purpose of this paper is to better understand the interaction between these two mechanisms, as well as role of smartphone features in activating different formation mechanisms.

Design/methodology/approach
An online survey with 379 samples was conducted to empirically validate the model. The data were analyzed by structural equation modeling approach.

Findings
The automatic habit strengthens the driving effects of reinforcement rewards (i.e. perceived enjoyment and mood regulation) on smartphone addiction. Smartphone features activate distinct underlying mechanisms. Value-added function facilitates the perception of reinforcement rewards, while convenience promotes the habit formation.

Originality/value
This study is one of the first ones that assess the interplay between the two formation mechanisms in the extant literature on smartphone addiction. This study also reveals the dangers of smartphone features which have always been regarded as advantages. The findings contribute to the current understandings of smartphone addiction.
An effective multifocus image fusion method using guided filter
Authors: Geng Peng , Liu Jianhua 
Published: June 2019

Purpose
The more precise decision map is important to generate better-fused image. Guided filter can preserve edge information effectively. The purpose of his study is to use guided filter to form the precise decision map and highly informatively fused image.

Design/methodology/approach
The dual tree complex wavelet transform is adopted to decompose the source images into high frequency and low frequency coefficients. Sum of modified Laplacian method is introduced as the focus metric in dual tree complex wavelet coefficients. The guided filter is guided by the dual tree complex wavelet coefficient when the sum of modified Laplacian is used as the input image. The output image of guided filter is used to produce the decision map to fuse dual tree complex wavelet coefficient of source images.

Findings
The sum of modified Laplacian of dual tree complex wavelet coefficient can be used as the guided image in guided filter to generate better decision map. Comparison with the other state-of-the-art methods illustrates that the proposed approach is more effective in fusing the multifocus images both visual performance and objective evaluation.

Originality/value
The sum of modified Laplacian of dual tree complex wavelet coefficient is introduced to be used as the guided image in guided filter to generate better decision map. This method is fast and effect to fuse the source images. Comparison with the other state-of-the-art methods illustrates that the proposed approach is more effective in fusing the multifocus images both visual performance and objective evaluation.
Radar and vision fusion for the real-time obstacle detection and identification
Authors: Zhang Xinyu , Zhou Mo , Qiu Peng , Huang Yi , Li Jun 
Published: June 2019

Purpose
The purpose of this paper is the presentation and research of a novel sensor fusion-based system for obstacle detection and identification, which uses the millimeter-wave radar to detect the position and velocity of the obstacle. Afterwards, the image processing module uses the bounding box regression algorithm in deep learning to precisely locate and identify the obstacles.

Design/methodology/approach
Unlike the traditional algorithms that use radar and vision to detect obstacles separately, the purposed method of this paper uses radar to determine the approximate location of obstacles and then uses bounding box regression to achieve accurate positioning and recognition. First, the information of the obstacles can be acquired by the millimeter-wave radar, and the effective target is extracted by filtering the data. Then, use coordinate system conversion and camera parameter calibration to project the effective target to the image plane, and generate the region of interest (ROI). Finally, based on image processing and machine learning techniques, the vehicle targets in the ROI are detected and tracked.

Findings
The millimeter wave is used to determine the presence of an obstacle, and the deep learning algorithm of the image is combined to determine the shape and the class of the obstacle. The experimental results indicate that the detection rate of this method is up to 91.6 per cent, which can better implement the perception of the environment in front of the vehicle.

Originality/value
The originality is based on the combination of millimeter-wave sensors and deep learning. Using the bounding box regression algorithm in RCNN, the ROI detected by radar is analyzed to realize real-time obstacle detection and recognition. This method does not require processing the entire image, greatly reducing the amount of data processing and improving the efficiency of the algorithm.
Research trends in flipped classroom empirical evidence from 2017 to 2018
Authors: Zainuddin Zamzami , Zhang Yin , Li Xiuhan , Chu Samuel Kai Wah , Idris Saifullah , Keumala Cut Muftia 
Published: June 2019

Purpose
This paper aims to analyze the trends and contents of flipped classroom research based on 48 selected empirical articles published during 2017 and 2018.

Design/methodology/approach
The inductive content analysis was used as a methodology to investigate the content of flipped classroom research, including subject-specific areas, methodological approaches, technology tools or platforms, the most frequently used trending searches, countries of research, positive impacts and challenges.

Findings
The results of the analysis were interpreted using descriptive analysis, percentages and frequencies. This analysis found that various subjects were implemented in flipped classroom learning, and some technological tools were also used to enhance teaching and learning. Analysis of the impact revealed that the flipped classroom yielded positive learning outcomes on students’ learning activities such as learning motivation and engagement, social interaction and self-directed learning skills. Meanwhile, the most significant challenges encountered by the instructor were the lack of students’ motivation to watch pre-recorded video lectures or to study the contents outside of the class time.

Originality/value
The findings suggest that the flipped classroom concept might be effective in promoting twenty-first-century learning skills and developing the technology and information literacy competency based on national standards.
Online disclosure practices of halal-friendly hotels
Authors: Muharam Ikram Nur , Asutay Mehmet 
Published: June 2019

Purpose
This research analyses the online disclosure practices of halal-friendly hotels, denoting their service provision within “halal” expectancies. This study aims to discover the halal attributes commonly used in the online marketing practices of halal-friendly hotels.

Design/methodology/approach
The methods used in this study include a deductive approach through literature, which was then followed by an initial investigation of several random samples that produced 24 points of halal-friendly attributes, and then content analysis to find out the online disclosure practices of 55 halal-friendly hotels. Further insights gathered through analysis of the use of Islamic images and symbols; also, by examining the nexus between the disclosure level and other variables such as halal-friendly certification level, star-level and guest ratings.

Findings
The results show that most hotels classify themselves as halal-friendly by providing information that articulates Islamic identity or by informing the existence of prayer facilities. Information displayed includes halal food, halal places, alcohol-free policy, prayer facilities and Qibla direction. Furthermore, image analysis shows that almost all hotels use human photographs, and the preferred gender is male; only a few hotels expose Islamic symbols. Most hotels maintain a neutral impression by avoiding “Islamised gender” and not overly emphasising Islamic images. Otherwise, halal-friendly certification level is positively correlated with the disclosure level.

Practical implications
The results provide a fresh insight regarding the online marketing practices of the halal-friendly hotels and could be used as a benchmark by the practitioners.

Originality/value
This topic is still unexplored; it shows this research originality.
Considerations for the design and management of property database in opaque markets
Authors: Olapade Daramola Thompson , Ekemode Benjamin Gbolahan , Olaleye Abel 
Published: June 2019

PurposeEarlier studies have suggested the creation of a central database of concluded property transactions as a panacea to the property data debacle. It is in this regard that the purpose of this paper is to examine the perception of potential users of centralised property database on the consideration for the design and management of such database.Design/methodology/approachQuestionnaires were administered on 190 property practitioners (referred as estate surveying and valuation firms) in Lagos property market. Frequency index, frequency distribution and percentage were employed for data analysis.FindingsThe result showed that respondents preferred a web-based databank and free access to the information in the databank by those who recorded their market data in it. They also preferred uniform recording standard in the databank, an interface that must be user friendly and secure to prevent unauthorised user from gaining access, amongst others. The practitioners also preferred that their professional body manage the databank when it is created.Practical implicationsThe paper provides useful insights into creating a property database that will improve accessibility to property data in opaque markets.Originality/valueThere is still little or no empirical research on framework/end-users’ requirements for the creation of property transaction database in emerging property markets.
The impact of post-trade transparency on price efficiency and price discovery
Authors: Lin Chiou-Fa , Chiao Cheng-Huei , Wang Bin 
Published: June 2019

Purpose
The purpose of this paper is to examine the impact of post-trade transparency on price efficiency and price discovery.

Design/methodology/approach
The authors use an exogeneous change in market transparency in the Taiwan Stock Exchange that mandates the disclosure of unexecuted orders of the five best bid and ask prices after each trade, and conduct an event study analysis.

Findings
After the change, price efficiency enhances for both large and small firms, although the impact on stock prices is greater when the firm is larger. The authors also find that post-change trading reveals more private information for large firms but more public information for small firms. The findings support the view that transparency has a positive impact on market quality.

Originality/value
The paper adds to a large body of literature investigating the relationship between transparency and market behavior, especially the ongoing debate about whether trading transparency positively affects price dynamics. The findings also have important policy implications for the regulators.
Optimal pricing strategies for delivery alliance in online retailing platform
Authors: Yan Yufei , Ye Zuoliang , Sun Miao 
Published: June 2019

PurposeNowadays, some online retailing platforms emerge to integrate transport capacity to provide standard distribution service for sellers. Such an integrated form of service is defined as delivery alliance (DA). To have a better understanding of how to price the service, this study aims to fixate on the seller’s problems and builds a series of profit maximization models in accordance with the two-sided market pricing theory within a platform business model.Design/methodology/approachIn the present study, some optimization models are built in the two-sided market type and the optimal solutions are found in a three-dimensional decision space. By using the basic model as the benchmark, some optimization problems of DA in realistic situations are discussed. Particularly, a power-law-distribution model is established to deal with the uncertainty in forecasting. Also, a price-sensitive model and a loss-aversion model are presented to describe the various reactions of sellers to charging modes. Finally, some combined situations are discussed and the strategies are compared under the mentioned models.FindingsBy selecting the basic model as the benchmark, the specific pricing strategies are found for each context to yield the optimal profits. The flexibility of pricing strategy in the basic model and rigid pricing strategies in extended models, are discussed. As a result, the guidelines for the online retailing platforms are developed on designing and pricing the DA service.Research limitations/implicationsFirst, it would be interesting to expand the pricing plan of the platform. For instance, menu pricing and quantity discount have not been considered, which are common in practice. The time discounting has also been ignored. If the time value were calculated, the contract fees would be more critical due to the earliest of collecting money. Finally, those joiners who have huge order sizes are crucial for the ecosystem indeed, but arouse no attention. While in reality, they may have more power to bargain with the platform. Thus, how the platform competition affects the pricing strategies needs future research.Originality/valueThe optimal pricing strategies under these models are analytically found out, and it is shown that the presented models result in the same scale of joiners and profits in optimization. This suggests that DA works well in various behavioral contexts. This also suggests that DA is a significant controller in service quality improvement. Then, the optimal pricing strategies are compared among all the models. During this, it is discovered that the realistic contexts might reduce the profit, whereas an appropriate pricing strategy can pull this back without loss of service quality.
The ageing process in older adults’ narratives of family violence
Authors: Santos Ana João , Gil Ana Paula , Ribeiro Oscar 
Published: June 2019

Purpose
The purpose of this paper is to examine, through a qualitative lens, how community elder abuse and the ageing process are represented in the older adults’ narratives reporting abuse perpetrated by family members.

Design/methodology/approach
A qualitative study of a convenience sample of 22 interviews from 24 older adults (two couples) aged 60 years or older who had experienced one or more types of abuse and had sought help about the victimisation experience. A general inductive approach of thematic content analysis was employed.

Findings
The four main emergent themes related to the passage of time or the perception of becoming old within the process of abuse were: abuse grown old, abuse after entering later life, vulnerability to abuse and responses to abuse. Ageing was found to be associated with an increase vulnerability to abuse and an important element in shaping how older adults experience, report and cope with victimization. The social and contextual issues of being older also influenced the decision of ending (or not) the abuse and the victims’ repertoire of responses.

Originality/value
Despite the little suitability of chronological age to define and delimit elder abuse, understanding the phenomenon demands the recognition of ageing (both as a process and as a product) in order to more accurately identify aetiology processes and develop interventions.
Is sustainability a driver of the circular economy?
Authors: Sehnem Simone , Pandolfi Andreia , Gomes Camila 
Published: June 2019

PurposeThis study aims to analyse how Natura's practices of circular economy and sustainability overlap.Design/methodology/approachThis study is descriptive and qualitative, based on a thematic content analysis, and it describes and compares the performance of Natura in several dimensions, including economic, environmental, social, human rights, society, product responsibility and stakeholder engagement. A longitudinal study was carried out on the basis of an analysis of all Natura sustainability reports; these reports are available for public consultation and cover the period from 2001 to 2016.FindingsThe main results show that there is symmetry between sustainability practices and the premises of the circular economy, with the ReSOLVE classification being met in most of the items.Originality/valueInnovation is the essential element that facilitated the creation of a portfolio of products that meet consumer demand.
Land‐use change increases climatic vulnerability of migratory birds: Insights from integrated population modelling
Authors: Zhao Qing , Arnold Todd W. , Devries James H. , Howerter David W. , Clark Robert G. , Weegman Mitch D. 
Published: June 2019

AbstractKnowledge of land‐use patterns that could affect animal population resiliency or vulnerability to environmental threats such as climate change is essential, yet the interactive effects of land use and climate on demography across space and time can be difficult to study. This is particularly true for migratory species, which rely on different landscapes throughout the year.Unlike most North American migratory waterfowl, populations of northern pintails (Anas acuta; hereafter pintails) have not recovered since the 1980s despite extended periods of abundant flooded wetlands (i.e. ponds). The mechanisms and drivers involved in this discrepancy remain poorly understood. While pintails are similar to other ducks in their dependence on ponds throughout their annual cycle, their extensive use of croplands for nesting differentiates them and makes them particularly vulnerable to changes in agricultural land use on prairie breeding grounds.Our intent was to quantify how changes in land use and ponds on breeding grounds have influenced pintail population dynamics by developing an integrated population model to analyse over five decades (1961–2014) of band‐recovery, breeding population survey, land‐use and pond count data. We focused especially on the interactive effects of pond counts and land use on pintail productivity, while accounting for density‐dependent processes.Pintail populations responded more strongly to annual variation in productivity than survival. Productivity was positively correlated with pond count and negatively correlated with agricultural intensification. Further, a positive interaction between pond count and agricultural intensification was insufficient to overcome the strong negative effect of agricultural intensification on pintail productivity across nearly all pond counts. The interaction also indicated that pintail populations were more negatively impacted by the decrease in ponds associated with climate change under higher agricultural intensification.Our results indicate that pintail populations have become more vulnerable to climate change under intensified land use, which suggests that future conservation strategies must adapt to these altered relationships. The interactive effects of land use and climate on demography should be considered more frequently in animal ecology, and integrated population models provide an adaptable framework to understand vital rates and their drivers simultaneously.