bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robust statistical methods for point of sale designs, the example of healthcare snack and drink vending
Authors: Campbell Lucy Zarina , Pitt Michael , Mclennan Peter 
Published: September 2020

Purpose
The experiment introduces nutritional labelling, healthier products and product placement designs to the hospital vending machines, to promote healthy lifestyles.

Design/methodology/approach
The site where this experiment happens is a major London hospital, serving over a million patients every year. In the experiment, the hospital’s snack and drink vending machines are redesigned. The impact on product sales are then analysed using robust statistical methods.

Findings
Nutritional labelling has a statistically significant impact on product sales. Less of the unhealthiest products are sold. Healthier products and product placement designs have a larger impact but with less statistical significance. They require further testing.

Research limitations/implications
Experts in service operations can use this experiment’s regression modelling methods. The methods are ideal for measuring change over time in counting data sets in complex real world environments.

Practical implications
There are suggestions for practical vending service change in this research. They are in line and add a practical example to Government policy guidance.

Social implications
People using the redesigned vending machines have more opportunity for healthy lifestyle choices.

Originality/value
The experiment provides statistical evidence in support of catering for healthier lifestyles.
Enforced remote working and the work-life interface during lockdown
Authors: Anderson Deirdre , Kelliher Clare 
Published: September 2020

Purpose
This paper aims to consider enforced working from home in response to the COVID-19 pandemic and how it may differ from working from home through choice. In particular, the authors discuss how lockdown may be affecting work-family arrangements.

Design/methodology/approach
This is a thought piece.

Findings
The paper briefly examines the extant research on remote working. It is argued that as many of the (beneficial) outcomes found for both employees and employers are associated with feelings of greater autonomy and gratitude on the part of employees for being able to exercise choice over their working arrangements, these outcomes may not be found where working from home is required of employees. The authors contend that women, and mothers in particular, have had little choice in relation to when work has taken place, and how much work has been done.

Practical implications
The authors urge employers to consider the positive and negative outcomes of emerging evidence as they review their flexible working policies. They call for a widespread review of childcare provision in supporting women and men in the labour market.

Originality/value
The authors explore this unexpected context of the pandemic and highlight the need for research which examines these different circumstances.
Multilingual emoji prediction using BERT for sentiment analysis
Authors: Tomihira Toshiki , Otsuka Atsushi , Yamashita Akihiro , Satoh Tetsuji 
Published: September 2020

PurposeRecently, Unicode has been standardized with the penetration of social networking services, the use of emojis has become common. Emojis, as they are also known, are most effective in expressing emotions in sentences. Sentiment analysis in natural language processing manually labels emotions for sentences. The authors can predict sentiment using emoji of text posted on social media without labeling manually. The purpose of this paper is to propose a new model that learns from sentences using emojis as labels, collecting English and Japanese tweets from Twitter as the corpus. The authors verify and compare multiple models based on attention long short-term memory (LSTM) and convolutional neural networks (CNN) and Bidirectional Encoder Representations from Transformers (BERT).Design/methodology/approachThe authors collected 2,661 kinds of emoji registered as Unicode characters from tweets using Twitter application programming interface. It is a total of 6,149,410 tweets in Japanese. First, the authors visualized a vector space produced by the emojis by Word2Vec. In addition, the authors found that emojis and similar meaning words of emojis are adjacent and verify that emoji can be used for sentiment analysis. Second, it involves entering a line of tweets containing emojis, learning and testing with that emoji as a label. The authors compared the BERT model with the conventional models [CNN, FastText and Attention bidirectional long short-term memory (BiLSTM)] that were high scores in the previous study.FindingsVisualized the vector space of Word2Vec, the authors found that emojis and similar meaning words of emojis are adjacent and verify that emoji can be used for sentiment analysis. The authors obtained a higher score with BERT models compared to the conventional model. Therefore, the sophisticated experiments demonstrate that they improved the score over the conventional model in two languages. General emoji prediction is greatly influenced by context. In addition, the score may be lowered due to a misunderstanding of meaning. By using BERT based on a bi-directional transformer, the authors can consider the context.Practical implicationsThe authors can find emoji in the output words by typing a word using an input method editor (IME). The current IME only considers the most latest inputted word, although it is possible to recommend emojis considering the context of the inputted sentence in this study. Therefore, the research can be used to improve IME performance in the future.Originality/valueIn the paper, the authors focus on multilingual emoji prediction. This is the first attempt of comparison at emoji prediction between Japanese and English. In addition, it is also the first attempt to use the BERT model based on the transformer for predicting limited emojis although the transformer is known to be effective for various NLP tasks. The authors found that a bidirectional transformer is suitable for emoji prediction.
Paradigm of new service development projects (NSDPs): “One Basket Fits all”
Authors: Rahman Muhammad Sabbir , Hussain Bashir , Hussain Mehdi , Hassan Hasliza , Johns Raechel 
Published: September 2020

PurposeThe aim of this research is to examine the key determinants influencing the success of new service development projects (NSDPs) across four service typologies context.Design/methodology/approachThe researchers used the scenario-based survey method in an NSDP setting. Structural equation modelling (SEM) was used to test the proposed hypotheses based on survey data from 570 managers under four service typologies.FindingsService firms' cross-functional integration (CFI) and internal project team efficiency (IPTE) positively influenced NSDPs. The results also indicated that both technology infrastructure (TI) and IPTE mediated the relationship between CFI and NSDPs. In addition, the mediation effect of TI existed between the relationship of IPTE and NSDPs. Furthermore, the proposed model confirms that, for NSDPs, the role of knowledge-sharing behaviour (KSB), authentic leadership (AL) and firm's culture (FC) across the four service typologies moderated the relationship.Practical implicationsWith a better understanding of the dynamics of the aforementioned variables, service managers and the project team can more effectively develop and execute strategies for an NSDP. The article enables practitioners to expand their current understanding of NSDPs by providing insights of the unique antecedents that are significant for new service development across four service types.Originality/valueThis research is the first of its kind to examine the mediating role of KSB and TI in determining NSDPs. This study provides one of the first empirical examinations on NSDPs in the context of four service typologies from the perspective of a developing country, where the service industry is competitive. The study demonstrates that the critical success factors of NSDPs do not differ across service types, thereby confirming the “One Basket Fits all” assumption in the current NSDP research study.
Compressed earth block reinforced with coconut fibers and stabilized with aloe vera and lime
Authors: Velasco-Aquino Alan Adiel , Espuna-Mujica Jose Adan , Perez-Sanchez Josue Francisco , Zuñiga-Leal Carlos , Palacio-Perez Arturo , Suarez-Dominguez Edgardo Jonathan 
Published: September 2020

Purpose
In recent years, the use of earth as a material applied to construction has been adapted as an attractive alternative to modern concepts. The earth construction technique takes advantage of regional natural resources, among which are earth bricks. The purpose of this paper is to analyze the effect of the addition of coconut fibers and aloe vera on the mechanical properties of compressed earth blocks (CEB).

Design/methodology/approach
CEBs were manufactured from silty and clay soil (Altamira, Tamaulipas, Mexico) with biodegradable stabilizers of aloe vera and short coconut mesocarp fibers, which were compared with the conventional mixture with lime as stabilizer. The samples were subjected to compression tests (Mexican Standard NMX-C-404-ONNCC3-205), flexion (NMX-C083-ONNCCE.), abrasion (NTC-5324 3.4.3), water absorption (NMX-C-37-ONNCE-205), surface morphology and thermal properties (ASTM D5334-14).

Findings
It was found that the addition of coconut fibers has a 12% difference in flexural strength. The addition of 0.5% of coconut fibers decreases swelling by 2% with water and reduces the thermal conductivity of the material by 12%. Likewise, this mixture increases the abrasion resistance of CEB by 30%. When there is a pressure greater than 1,700 psi in the CEB, the addition of coconut fibers does increase the compressive strength of the material, showing a 34% improvement over the CEB without adding coconut fibers.

Originality/value
The authors show a new sustainable CEB production with aloe vera and coconut fiber that is possible for self-production with better mechanical properties than others, commonly produced in Mexico.
A novel optimisation model in the collaborative supply chain with production time capacity consideration
Authors: Purnomo Muhammad Ridwan Andi , Anugerah Adhe Rizky , Aulia Salvia Fatma , ‘Azzam Abdullah 
Published: September 2020

Purpose
This study aims to propose an optimal procurement model of the collaborative supply chain in the furniture industry. The final output is the total cost minimisation to produce a furniture product that covers material cost, processing cost, transportation cost and holding cost. Therefore, if companies can give the best value to customers at a low cost, then competitive advantages can be achieved.

Design/methodology/approach
A genetic algorithm (GA) as a metaheuristic approach was used to solve problems in this research. The optimisation was initiated by developing a mathematical model to formulate the objective function.

Findings
Based on the case study, the proposed GA model was able to reduce the total cost of production. The cost was reduced by 73.09% compared to the existing system. Besides, the production time of the proposed model is within the capacity of both companies; hence, no penalty cost is imposed.

Practical implications
The proposed GA model has been implemented and tested to minimise production costs in the Indonesian furniture industry.

Originality/value
To the best of author knowledge, there is no research has proposed an optimisation model that incorporates production cost, transportation cost and production time capacity together in the collaborative supply chain. This research is the first to collaborate these factors using GA in the furniture industry.
Relationship between perceived service quality and client satisfaction indicators of engineering consultancy services in building projects
Authors: Aluko Olusola Ralph , Idoro Godwin Iroroakpo , Mewomo Modupe Cecilia 
Published: September 2020

Purpose
Service quality is a major determinant of business performance. Empirical evidence from the literature indicates that, to attain a high level of customer satisfaction, a high standard of service quality should be provided by the service provider. This study aims to examine the relationship between the perceived service quality and the indicators of client satisfaction with particular reference to engineering consultancy services in building projects.

Design/methodology/approach
A survey research approach was adopted using a semi-structured questionnaire as an instrument of data collection. The questionnaire survey formed the basis for the descriptive and inferential (Pearson correlation and multiple regression) statistics that were used to evaluate the relationship between engineering consultants’ service quality and clients’ satisfaction indicators.

Findings
The study identified 10 key technical indicators and 10 key managerial indicators for measuring client satisfaction. Statistical analysis shows a positive significant relationship between the perceived service quality and all the indicators of client satisfaction. The positive correlation values show that as perceived service quality increases, both technical and management indicators of client satisfaction equally increase.

Originality/value
The results offer opportunity for professional service providers to continuously develop the technical and management indicators, embrace personnel training and key into continuous professional development for better service quality.
Rural-urban differentials in the determinants of under-five mortality in Bhutan
Authors: Dendup Tashi , Zhao Yun , Putra I Gusti Ngurah Edi 
Published: September 2020

PurposeThe differences in the distribution of factors associated with under-five mortality (UFM) can help explain the rural-urban inequities in UFM. The determinants contributing to UFM in rural and urban areas have not been previously explored in Bhutan. This study examined the factors associated with UFM in rural and urban Bhutan and the role of the factors in explaining UFM disparity.Design/methodology/approachThe dataset of 6,398 single births (4,999 in rural and 1,399 in urban areas) from the 2012 Bhutan National Health Survey was analyzed. Logistic regression analysis accounting for the complex survey design was performed to investigate the determinants.FindingsThe UFM rate was 2.75 times higher in rural than in urban Bhutan. In rural communities, children of younger mothers, born in households without safe sanitation and electricity, and central and eastern regions had increased UFM odds. Whereas, children born to working mothers and educated fathers, and born in households with non-working household heads had lower UFM odds in urban areas. A higher number of births and smaller household size was associated with an increased UFM odds irrespective of rural-urban residence. Environmental factors were attributable for the largest portion of rural UFM disadvantage.Originality/valueThis study helps to understand the rural-urban differences in the factors influencing UFM in Bhutan. The findings suggest that policies aimed to improve environmental and socioeconomic conditions, women empowerment, and those aimed to enhance health utilization can help reduce the rural-urban child survival disparity and accelerate the achievement of the Sustainable Development Goal target.
Customer engagement in sales promotion
Authors: Kaveh Azam , Nazari Mohsen , van der Rest Jean-Pierre , Mira Seyed Abolghasem 
Published: September 2020

PurposeThe purpose of this study is to explore the impact of customer engagement in sales promotion on purchase intention. Utilizing value co-creation and customer engagement theories, the authors tested a model that specifies the effect of customer engagement in sales promotion on purchase intention, through its impact on perceived value and customer satisfaction.Design/methodology/approachThe model was tested with the PLSc-SEM approach.FindingsEngaging customers to store's offers by giving them the possibility to choose the type of promotional discount that suits their personal preferences and needs is positively associated with purchase intention, and that this relationship is mediated in serial by perceived value and customer satisfaction.Practical implicationsInvolving customers in sales promotion provides opportunities for retail front line management, as well as for customer relationship management to attract attention and interest.Originality/valueWhile previous research concerned situations where firms and customers collaborate in the co-creation of value, its role in the sales promotion process is yet unclear. This study starts filling this gap by taking a closer look at customer participation in the sales promotion process and its impact on customer purchase intention.
The role of business advisers in supporting social entrepreneurship
Authors: Dalborg Cecilia , von Friedrichs Yvonne 
Published: September 2020

Purpose
In many regions, the potential of social entrepreneurship and social innovation are not fully used. The purpose of this study is to explore issues and challenges in the business advisory support offered to social entrepreneurs and, from this background, give suggestions on how the advisory process to social entrepreneurs could be modified to better gain society.

Design/methodology/approach
Representatives from 15 business advisory organisations in Sweden were interviewed to examine how their support to social enterprises meets the needs of the companies, and to discover possible problems encountered regarding the business advice available to social enterprises. Using thematic analysis, six different overarching themes were identified that characterise issues and challenges in the business advisory support offered to social enterprises.

Findings
The results show that many advisers lack experience in social entrepreneurship, yet they consider that social enterprises are not “genuine” entrepreneurs, and that they, therefore, refer them to advisers focussing on co-operative enterprises. Furthermore, the absence of sustainable business models, the lack of financial resources and the existence of municipal monopoly are identified by the advisers as challenges.

Practical implications
This paper reveals an Achilles’ heel in the business advisory support offered to social enterprises, namely, the lack of experience and knowledge of social entrepreneurship amongst current business advisers, as well as a prioritisation of advice to more “commercial” entrepreneurs because of policy instruments and the expectations from the public funders of increased profitability and growth in the companies that receive advice. The mainstream business advisory service could play a key role by bringing together the various stakeholders in this shared value process. This would, however, require increased knowledge and new government policies and directives that ensure that social entrepreneurs are prioritised in the business advisory situation.

Originality/value
This paper demonstrates that the current advisory system is not adapted to fit the needs of social enterprises. It also proposes the need to include participation and proximity in the business model design.
Trait filtering during exotic plant invasion of tropical rainforest remnants along a disturbance gradient
Authors: Waddell Emily H. , Chapman Daniel S. , Hill Jane K. , Hughes Mark , Bin Sailim Azlin , Tangah Joseph , Banin Lindsay F. 
Published: September 2020

Abstract

Human‐modified tropical landscapes are often invaded by exotic plant species, but relatively few species are able to colonise remnant areas of rainforest embedded within such landscapes. The functional traits of successful invaders of natural versus anthropogenic habitats are poorly known, especially in tropical regions, and identifying such traits provides insight into the mechanisms that drive invasion. Here, we examine the invasion of tropical rainforest remnants along a disturbance gradient, within a human‐modified agricultural landscape, and determine whether exotic species that invade these forests are selected according to particular traits.

We surveyed the occurrence of 18 exotic species along 100‐m transects in four habitats—oil palm road, forest‐oil palm edges and disturbed and intact forest within rainforest remnants—at 21 sites across Sabah, Malaysian Borneo. We collated data on four functional traits relevant to the barriers plants encounter when colonising new environments (e.g. dispersal and persistence) and tested whether trait filtering occurs during invasion of rainforest remnants.

Exotic species richness declined significantly from oil palm (mean 9.2 species per transect) to forest edge (7.8 species) to inside rainforest remnants (3.1 species in disturbed forest), and only one species, Clidemia hirta, invaded intact forest. Exotic communities within rainforest remnants had long‐distance (vertebrate) dispersal, were woodier and had taller maximum heights, compared to those found in oil palm. For each trait, the community‐weighted mean for the forest edge community was intermediate between oil palm and disturbed forest, suggesting trait filtering during the invasion of rainforest remnants.

Our study provides strong evidence that trait filtering occurs during invasion from human‐modified agricultural habitats into previously disturbed forests via the forest edge. Successful invasion of rainforest remnants requires relatively long‐distance dispersal, in particular by vertebrates, as well as traits that are more similar to those of native forest species (i.e. tall and woody), making these exotic species more able to compete and persist in that environment. Our results show that disturbed tropical rainforests with open canopies are susceptible to invasion and highlight the traits of exotic species which can invade rainforest habitats, and which may pose a threat to regenerating tropical rainforests.

A free Plain Language Summary can be found within the Supporting Information of this article.
Erratic noise suppression using iterative structure‐oriented space‐varying median filtering with sparsity constraint
Authors: Huang Guangtan , Bai Min , Zhao Qiang , Chen Wei , Chen Yangkang 
Published: September 2020

ABSTRACTErratic noise often has high amplitudes and a non‐Gaussian distribution. Least‐squares–based approaches therefore are not optimal. This can be handled better with non–least‐squares approaches, for example based on Huber norm which is computationally expensive. An alternative method has been published which involves transforming the data with erratic noise to pseudodata that have Gaussian distributed noise. It can then be attenuated using traditional least‐squares approaches. This alternative method has previously been used in combination with a curvelet transform in an iterative scheme. In this paper, we introduce a median‐filtering step in this iterative scheme. The median filter is applied following the slope direction of the seismic data to maximally preserve the energy of useful signals. The new method can suppress stronger erratic noise compared with the previous iterative method, and can better deal with random noise compared with the single‐step implementation of the median filter. We apply the proposed robust denoising algorithm to a synthetic dataset and two field data examples and demonstrate its advantages over three different noise attenuation algorithms.