bluuebunny/crossref_metadata_2025 huggingface dataset:
HAS COUNTRYWIDE LOCKDOWN WORKED AS A FEASIBLE MEASURE IN BENDING THE COVID-19 CURVE IN DEVELOPING COUNTRIES?
Authors: Nabi Khondoker Nazmoon , Islam Md. Robiul
Published: June 2020

In the absence of any effective vaccine and clinically proven treatment, experts thought that strict lockdown measures could be an effective way to slow down the spread of novel coronavirus. Despite the strict lockdown measures in several developing countries, the number of newly infected cases is getting unbridled as time progresses. This anomaly ignites questions about the effectiveness of the prolonged strict confinement measures. In light of the above view, with an aim to find the answer to this question, trends of four epidemiological parameters: growth factor of daily reported COVID-19 cases, daily incidence proportion, daily cumulative index and effective reproduction number in five developing countries named Bangladesh, Brazil, Chile, Pakistan and South Africa have been analysed meticulously considering the different phases of their national lockdowns. Any compelling evidence has not been found in favor of countrywide lockdown effectiveness in the above-mentioned countries. Numerical results illustrate that stringent nationwide lockdown measures have failed bringing the epidemic threshold (Re) of COVID-19 under unity. In addition, citizens of the aforementioned countries have been struggling with catastrophic socio-economic consequences due to prolonged confinement measures. Our study suggests that a new policy should be proposed for developing countries to battle against future disease outbreaks ensuring a perfect balance between saving lives and confirming livelihoods.
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
Authors: Li Michael Lingzhi , Bouardi Hamza Tazi , Lami Omar Skali , Trikalinos Thomas A. , Trichakis Nikolaos K. , Bertsimas Dimitris
Published: June 2020

One key question in the ongoing COVID-19 pandemic is understanding the impact of government interventions, and when society can return to normal. To this end, we develop DELPHI, a novel epidemiological model that captures the effect of under-detection and government intervention. We applied DELPHI across 167 geographical areas since early April, and recorded 6% and 11% two-week out-of-sample Median Absolute Percentage Error on cases and deaths respectively. Furthermore, DELPHI successfully predicted the large-scale epidemics in many areas months before, including US, UK and Russia. Using our flexible formulation of government intervention in DELPHI, we are able to understand how government interventions impacted the pandemic’s spread. In particular, DELPHI predicts that in absence of any interventions, over 14 million individuals would have perished by May 17th, while 280,000 current deaths could have been avoided if interventions around the world started one week earlier. Furthermore, we find mass gathering restrictions and school closings on average reduced infection rates the most, at 29.9 ± 6.9% and 17.3 ± 6.7%, respectively. The most stringent policy, stay-at-home, on average reduced the infection rate by 74.4 ± 3.7% from baseline across countries that implemented it. We also illustrate how DELPHI can be extended to provide insights on reopening societies under different policies.
Analysis and Prediction of COVID-19 Characteristics Using a Birth-and-Death Model
Authors: Viswanath Narayanan C.
Published: June 2020

Its spreading speed together with the risk of fatality might be the main characteristic that separates COVID-19 from other infectious diseases in our recent history. In this scenario, mathematical modeling for predicting the spread of the disease could have great value in containing the disease. Several very recent papers have contributed to this purpose. In this study we propose a birth-and-death model for predicting the number of COVID-19 active cases. It relation to the Susceptible-Infected-Recovered (SIR) model has been discussed. An explicit expression for the expected number of active cases helps us to identify a stationary point on the infection curve, where the infection ceases increasing. Parameters of the model are estimated by fitting the expressions for active and total reported cases simultaneously. We analyzed the movement of the stationary point and the basic reproduction number during the infection period up to the 20th of April 2020. These provide information about the disease progression path and therefore could be really useful in designing containment strategies.
A novel demographic-based model shows that intensive testing and social distancing are concurrently required to extinguish COVID-19 progression in densely populated urban areas
Authors: Alvarez Mario Moisés , Santiago Grissel Trujillo-de
Published: June 2020

We present a simple epidemiological model that includes demographic density, social distancing, and efficacy of massive testing and quarantine as the main parameters to model the progression of COVID-19 pandemics in densely populated urban areas (i.e., above 5,000 inhabitants km2). Our model demonstrates that effective containment of pandemic progression in densely populated cities is achieved only by combining social distancing and widespread testing for quarantining of infected subjects. Our results suggest that extreme social distancing without intensive testing is ineffective in extinguishing COVID-19. This finding has profound epidemiological significance and sheds light on the controversy regarding the relative effectiveness of widespread testing and social distancing. Our simple epidemiological simulator is also useful for assessing the efficacy of governmental/societal responses to an outbreak.

This study also has relevant implications for the concept of smart cities, as densely populated areas are hotspots that are highly vulnerable to epidemic crises.
Online respondent-driven detection for enhanced contact tracing of close-contact infectious diseases: benefits and barriers for public health practice
Authors: Helms Yannick B. , Hamdiui Nora , Eilers Renske , Hoebe Christian , Dukers-Muijrers Nicole , van den Kerkhof Hans , Timen Aura , Stein Mart L.
Published: June 2020

Background

Online respondent-driven detection (online-RDD) is a novel method of case-finding that can enhance contact tracing. However, the advantages and challenges of online-RDD for contact tracing (CT) have not yet been investigated from the perspective of public health professionals (PHPs). Therefore, it remains unclear if, and under what circumstances, PHPs are willing to apply online-RDD for contact tracing.

Methods

First, between March and April 2019, we conducted semi-structured interviews with Dutch PHPs responsible for CT in practice. Questions were derived from the ‘diffusion of innovations’ theory. Second, between May and June 2019 we distributed an online questionnaire to 260 Dutch PHPs to quantify the main qualitative findings. Using hypothetical scenarios that involved close-contact pathogens (scabies, shigella, and mumps), we assessed anticipated advantages and challenges of online-RDD and PHPs’ intention to apply online-RDD for contact tracing.

Results

Twelve interviews were held and 70 PHPs filled in the online questionnaire. A majority of questionnaire respondents (71%) had a positive intention towards using online-RDD for contact tracing. Anticipated advantages of online-RDD were related to accommodating easy and autonomous participation in contact tracing of patients and contact persons, and reaching contact persons more efficiently. Anticipated challenges with online-RDD were related to limited opportunities for PHPs to support, motivate, and coordinate the execution of contact tracing, adequately conveying measures to patients and contact persons, and anticipated unrest among patients and contact persons. Online-RDD was considered more applicable when patients and their contact persons are reluctant to share sensitive information directly with PHPs, digitally skilled and literate persons are involved, and the scope of contact tracing is large. Online-RDD was considered less applicable when consequences of missing information or individuals are severe for individuals - or public health, when measures that patients and contact persons need to undertake are complex or impactful, and when a disease is perceived as particularly severe or sensitive by patients and their contact persons.

Conclusions

PHPs generally perceived online-RDD as beneficial to public health practice. The method can help overcome challenges present in regular CT and could be used during outbreaks of infectious diseases that spread via close-contact, such as the SARS-CoV-2 virus. We propose a staggered implementation study to further investigate the application of online-RDD for enhanced CT during the ongoing COVID-19 pandemic.
Using Machine Learning of Clinical Data to Diagnose COVID-19
Authors: Li Wei Tse , Ma Jiayan , Shende Neil , Castaneda Grant , Chakladar Jaideep , Tsai Joseph C. , Apostol Lauren , Honda Christine O. , Xu Jingyue , Wong Lindsay M. , Zhang Tianyi , Lee Abby , Gnanasekar Aditi , Honda Thomas K. , Kuo Selena Z. , Yu Michael Andrew , Chang Eric Y. , Rajasekaran Mahadevan “Raj” , Ongkeko Weg M.
Published: June 2020

The recent pandemic of Coronavirus Disease 2019 (COVID-19) has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests. In this study, we propose to generate a more accurate diagnosis model of COVID-19 based on patient symptoms and routine test results by applying machine learning to reanalyzing COVID-19 data from 151 published studies. We aimed to investigate correlations between clinical variables, cluster COVID-19 patients into subtypes, and generate a computational classification model for discriminating between COVID −19 patients and influenza patients based on clinical variables alone. We discovered several novel associations between clinical variables, including correlations between being male and having higher levels of serum lymphocytes and neutrophils. We found that COVID-19 patients could be clustered into subtypes based on serum levels of immune cells, gender, and reported symptoms. Finally, we trained an XGBoost model to achieve a sensitivity of 92.5% and a specificity of 97.9% in discriminating COVID-19 patients from influenza patients. We demonstrated that computational methods trained on large clinical datasets could yield ever more accurate COVID-19 diagnostic models to mitigate the impact of lack of testing. We also presented previously unknown COVID-19 clinical variable correlations and clinical subgroups.
Exploration on the Malaysian adolescents’ understanding towards concepts of physical activity, perceived facilitators and barriers in practising an active lifestyle
Authors: Sharif Ishak Sharifah Intan Zainun , Chin Yit Siew , Mohd Taib Mohd Nasir , Mohd Shariff Zalilah
Published: June 2020

Purpose

This study aimed to explore the understanding of Malaysian adolescents towards concept of physical activity (PA) and their perceived facilitators and barriers in practising an active lifestyle.

Design/methodology/approach

Using a quota sampling method, a total of 12 focus group discussions (FGDs) were performed at two secondary schools, which were randomly selected in Selangor. This study involved 72 adolescents (males = 51.4%, females = 48.6%) aged 13–14 years. Based on ethnicity, there was an equal number of Malay, Chinese and Indian participants (n = 24, 33.3%). For analysing the outcome from the FGDs, thematic analysis was applied.

Findings

The adolescents perceived exercise and PA as structured games. They perceived that exercise could have positive effects on the body, appearance and health, and PA as a daily routine. Common differences between exercise and PA were based on frequency, intensity, energy and venue. Perceived facilitators in practising an active lifestyle include concern about body or health, have companions, familial or peer influence, availability of facilities in the neighbourhood and have scheduled time for exercise. Time constraint, no motivation, physically unwell or tired, no companion, security issue at playground or exercise facilities or venue, and weather were mentioned as barriers in practising an active lifestyle.

Originality/value

This study contributed to an improved understanding of the adolescents’ concept of PA, as well as their perceived facilitators and barriers in practising an active lifestyle. The study suggested that health intervention should embrace a way of promoting the immediate advantages of practicing an active lifestyle in order to reinforce the importance of an active lifestyle among adolescents. Furthermore, future intervention should emphasise on educating the adolescents on ways to cope with environmental barriers when practicing an active lifestyle.
Examining the relationship between e-service recovery quality and e-service recovery satisfaction moderated by perceived justice in the banking context
Authors: Mathew Sonia , Jose Ajay , G Rejikumar , Chacko Dony Peter
Published: June 2020

Purpose

The study focuses on the core issue faced by bankers on how to retain existing customers who have encountered an e-service failure and who are skeptical about the justice received through the service recovery process. It further endeavors to create an internal bench-marking model for assessing e-service recovery satisfaction.

Design/methodology/approach

By the experimental study, the authors confirm a measurement model using structural equation modeling for examining the impact of perceived service recovery quality antecedents on e-service recovery satisfaction moderated by perceived justice. In total, responses from 399 e-banking customers, who had experienced a e-service failure, were recorded using a 5-point Likert scale with a structured questionnaire.

Findings

The perceived e-service recovery quality antecedents identified were perceived information quality, digital commitment, perceived employee performance and perceived service orientation of organization. The empirical results revealed that “perceived information quality” was the most significant predictor of e-service recovery satisfaction. Perceived justice moderates the relation between perceived service recovery quality and e-service recovery satisfaction.

Research limitations/implications

The research does not contemplate the e-service recovery satisfaction of customers who have undergone multiple service failures.

Practical implications

The conclusions of the investigation suggest that the four antecedents of perceived e-service recovery quality model are suitable instruments for creating benchmarks for e-service recovery satisfaction for banks, and that perceived justice moderates the relationship between e-service recovery quality and e-service recovery satisfaction. Therefore, policymakers in banks can use this model to assess the e-service recovery quality, and they ought to enhance the perceived justice feel of the customers who have experienced a service failure.

Originality/value

There remains scarcity of empirical research focusing on perceived information quality and digital commitment as antecedents of perceived e-service recovery quality and its effect on e-service recovery satisfaction in the banking context. Furthermore, similar studies within the banking sector have rarely considered perceived justice as a moderator variable. Hence, this paper attempts to accomplish the research gap by empirically testing the e-service recovery satisfaction level of a large sample of the population toward four antecedents of perceived e-service recovery quality rendered by banks and create a benchmark model to ascertain e-service recovery satisfaction.
Applying social media to environmental education: is it more impactful than traditional media?
Authors: Chung Chi-Hung , Chiu Dickson K.W. , Ho Kevin K.W. , Au Cheuk Hang
Published: June 2020

Purpose

This study aims to explore how social media help promote environmental education and pro-environmental behaviours by analysing how young adults access social media and traditional media to obtain environmental information differently, how environmental ideas are disseminated through social media and how people perceive and realise environmentalism.

Design/methodology/approach

This is a qualitative study based on a semi-structured interview with student participants. The questions used in the interview were developed by on the integrated waste reduction model by Nishio and Takeuchi (2005) and the enhanced model proposed by Ho et al. (2019).

Findings

The results indicate that young adults agree and accept that living environmentally friendly lifestyles is an important goal. Although they acquire environmental information from social media, they seldom share or interact with those social media posts. This behaviour implies that they are information receivers when dealing with such contents.

Originality/value

The finding of this study provides insight for stakeholders on how to promote related knowledge and encourage people to be “greener” more often and construct a friendlier atmosphere for fostering more in-depth environmental discussions on social media.
Determinants of financial inclusion in rural India: does gender matter?
Authors: Kaur Simrit , Kapuria Cheshta
Published: June 2020

Purpose

Since finance is an efficacious instrument for economic development, social inclusion and women empowerment, the present paper examines the determinants of accessing institutional and non-institutional finance across male- and female-headed households in rural India.

Design/methodology/approach

Multinomial logistic regression is applied for categorizing households' accessing finance in four categories, namely Only Institutional Finance (IF), Only Non-institutional Finance (NIF), Both Sources of Finance (BF) and Neither Source of Finance (N). Both household and state-level determinants have been analysed. Household data set is sourced from the Situation Assessment Survey (NSSO, 70th round) and state-level data sets from Basic Road Statistics 2016, Agricultural Statistics at a Glance 2016, Rainfall Statistics of India 2014, database on Indian Economy RBI and Census 2011. Econometric regressions have been evaluated for female-headed households (FHHs), male-headed households (MHHs) and overall pooled households (HHs).

Findings

Four important findings emerge. First, FHHs have a lower probability of accessing IF and a higher probability of accessing NIF vis-a-vis MHHs. Second, in general, education levels, monthly household consumption expenditure, land size holding, irrigated area and penetration of scheduled commercial banks favourably influence FHHs accessing IF. Third, FHHs belonging to socially disadvantaged castes have a lower probability of accessing IF. Fourth, a substantial proportion of FHHs accesses neither IF nor NIF relative to MHHs.

Practical implications

The paper thoroughly addresses the issue of accessing finance by FHHs and MHHs, which will further assist policymakers in formulating holistic financial policies for rural India.

Social implications

The paper recommends increasing women's access to financial services as an effective tool for reducing poverty and lowering income inequality in rural India.

Originality/value

This article contributes to the scant empirical literature on finance and gender.
Analytical analysis of jute–epoxy beams subjected to low-velocity impact loading
Authors: Jasim Manar Hamid , Al-Araji Ali Mohammad Ali , Al-Kasob Bashar Dheyaa Hussein , Ranjbar Mehdi
Published: June 2020

Purpose

In the article, analytical model of first-order shear deformation (FSDT) beams made of jute–epoxy is presented to study the low-velocity impact response.

Design/methodology/approach

The nonlinear Hertz contact law is applied to identify the contact between projectile and beam. The energy method, Lagrange's equations and Ritz method are applied to derive the nonlinear governing equation of the beam and impactor-associated boundary condition. The motion equations are then solved simultaneously by the Runge–Kutta fourth-order method.

Findings

Also, a comparison is performed to validate the model predictions. The contact force and beam indentation histories of the jute–epoxy simply supported beam under spherical impactor with different radius and initial velocity are investigated in detail. It is found that in response to impactor radius increase, the utilization of the contact force law has resulted in a same increasing trend of peak contact force, impact duration and beam indentation, while in response to impactor initial velocity increase, the maximum contact force and beam indentation increase while impact time has vice versa trend.

Originality/value

This paper fulfills an identified need to study how jute–epoxy beam behavior with simply supported boundary conditions under low-velocity impact can be enabled.
Critical posthumanism for all: a call to reject insect speciesism
Authors: Gunderman Hannah , White Richard
Published: June 2020

Purpose

The authors articulate a posthuman politics of hope to unpack the richly embodied personal experiences and web of relationalities formed through repeated encounters with insects. Interrogating insect speciesism teaches to extend the authors’ compassion and live symbiotically with insects. The authors focus on the narrative of insect decline as impacted by colonialism and white supremacy, enabling insect speciesism to flourish alongside exploitation of other human and nonhuman creatures.

Design/methodology/approach

The authors pay particular attention the use of everyday language and framing of insects to “other” them, thereby trivializing and demonizing their existence, including “it's *just* a bug” or “they are pests.” Insect speciesism employs similar rhetoric reinforcing discrimination patterns of other nonhuman animals and humans. The authors focus on the unexpected encounters with insects in domestic spaces, such as an office desk, and through the multispecies space of “the allotment.”

Findings

The authors reflect on two possible posthuman futures: one where insect speciesism is entrenched and unrepentant; the second a decolonized society where we aspire to live a more compassionate and non-violent existence amidst these remarkable and brilliant creatures we owe our very existence on Earth.

Originality/value

One of the most profound lessons of the crisis-driven epoch of the Anthropocene is this: our existence on Earth is intimately bound with the flourishing of all forms of life. This includes complex multispecies encounters between humans and insects, an area of enquiry widely neglected across the social sciences. Faced with imminent catastrophic decline and extinction of insect and invertebrate populations, human relationships with these fellow Earthlings are deserving of further attention.
Literacy in the new norm: stay-home game plan for parents
Authors: Zainuddin Zamzami , Perera Corinne Jacqueline , Haruna Hussein , Habiburrahim Habiburrahim
Published: June 2020

Purpose

The purpose of this study is twofold. Firstly, this research aims at helping countries implement an equitable, innovative and context-appropriate stay-home game plan for the millions of disadvantaged and under-privileged students severely affected by the forfeiture of school closures; and secondly, this study proclaims that the burgeoning popularity of gamification has the potential to lay the bedrock foundation for ‘Literacy in the New Norm’.

Design/methodology/approach

The temporal closure of schools around the world to limit the spread of the COVID-19 has resulted in massive educational disruptions triggering adverse effects and bringing much of education under grave threat. Through a review of the current empirical and conceptual literature, this study proposes a new gamification concept in a non-technology environment.

Findings

Well underway are global dialogues that hold conversations on implementing mitigation strategies to counter the looming global health crisis. This has generated the impetus for a more concerted effort by concerned governments and international organizations to identify appropriate solutions for the continuity of learning so that the learning never stops. While educators and learners plunge further into the core of reconstructing education, the authors recognize that the fundamentals of technology and virtual connectivity have all along contributed to the multi-faceted e-learning stage set. However, concerns regarding the paradigm shift to remote online learning would certainly exacerbate inequalities cardinally felt across disadvantaged communities around the globe.

Originality/value

As the world is currently bound by strict isolation measures, learners of all ages have been relegated to the confines of their homes. For the most part, the stark realities of technological mishaps that have befallen underprivileged school children, serve as a reminder to help target children all over the world who are in most peril of losing ground in terms of continued education. It is on these grounds that the criterion set out in this article elucidates the nature and scope of a supplementary stay-home game plan detailing the use of game affordances that bear intelligently in the creation of home-based activities for parents to give it their best effort in fostering a collaborative and meaningful parent-child relationship that spawns the new language of literacy in the new norm.
Exploring the drivers of brand fan page follower discontinuance intention: an adaptation of the Furneaux and Wade's framework
Authors: Tang Zhenya , Chen Leida
Published: June 2020

Purpose

Many companies have now built brand fan pages (BFPs) on social media platforms to connect with their existing and potential customers. Nevertheless, the inability to retain existing followers would severely threaten the survival of BFPs and the effectiveness of a company's social media strategies. Drawing upon Furneaux and Wade's discontinuance framework, our study develops a research model to understand the BFP user's intention to discontinue following a BFP.

Design/methodology/approach

An empirical study was conducted through an online survey of Chinese social media users. The proposed model was tested by analyzing the collected data using the partial least squares structural equation modeling (PLS-SEM) approach.

Findings

The results reveal that dissatisfaction with information quality, unfollowing costs, trust and alternative attractiveness affect the individual's intention to unfollow a BFP. Notably, unfollowing costs is the most powerful factor to predict followers' propensity to discontinue.

Originality/value

Our study contributes to the understanding of the discontinuance of information systems. Theoretical implications for future social commerce research as well as practical suggestions for BFP operators are also discussed.
ACRank: a multi-evidence text-mining model for alliance discovery from news articles
Authors: Zhou Yilu , Xue Yuan
Published: June 2020

Purpose

Strategic alliances among organizations are some of the central drivers of innovation and economic growth. However, the discovery of alliances has relied on pure manual search and has limited scope. This paper proposes a text-mining framework, ACRank, that automatically extracts alliances from news articles. ACRank aims to provide human analysts with a higher coverage of strategic alliances compared to existing databases, yet maintain a reasonable extraction precision. It has the potential to discover alliances involving less well-known companies, a situation often neglected by commercial databases.

Design/methodology/approach

The proposed framework is a systematic process of alliance extraction and validation using natural language processing techniques and alliance domain knowledge. The process integrates news article search, entity extraction, and syntactic and semantic linguistic parsing techniques. In particular, Alliance Discovery Template (ADT) identifies a number of linguistic templates expanded from expert domain knowledge and extract potential alliances at sentence-level. Alliance Confidence Ranking (ACRank)further validates each unique alliance based on multiple features at document-level. The framework is designed to deal with extremely skewed, noisy data from news articles.

Findings

In evaluating the performance of ACRank on a gold standard data set of IBM alliances (2006–2008) showed that: Sentence-level ADT-based extraction achieved 78.1% recall and 44.7% precision and eliminated over 99% of the noise in news articles. ACRank further improved precision to 97% with the top20% of extracted alliance instances. Further comparison with Thomson Reuters SDC database showed that SDC covered less than 20% of total alliances, while ACRank covered 67%. When applying ACRank to Dow 30 company news articles, ACRank is estimated to achieve a recall between 0.48 and 0.95, and only 15% of the alliances appeared in SDC.

Originality/value

The research framework proposed in this paper indicates a promising direction of building a comprehensive alliance database using automatic approaches. It adds value to academic studies and business analyses that require in-depth knowledge of strategic alliances. It also encourages other innovative studies that use text mining and data analytics to study business relations.
Measuring the effectiveness of PBL through shape parameters and classification
Authors: Mujumdar Shilpa Bhaskar , Acharya Haridas , Shirwaikar Shailaja
Published: June 2020

Purpose

This paper utilizes data mining to study the effect of Problem Based Learning (PBL), an innovative pedagogical approach that has been implemented in undergraduate education at a private university in India for teaching Statistics and Operations Research (OR) to techno-management students.

Design/methodology/approach

The study follows the assumptions of an in-situ experiment. It employs BBA (IT) and BCA student(s) as a subject and their end of semester GPA as a performance indicator. The pedagogical approach to this study is integrating PBL with classroom teaching. The paper uses a combination of statistics and data mining to analyze the impact of PBL and establish research conclusions.

Findings

The study concludes that the introduction of PBL positively results in an improved GPA for students with a math background. PBL is more effective for BBA (IT) male students. Female students seem to be performing equally well irrespective of the inclusion of PBL. Pattern analysis of shape parameters evidences the impact of PBL, and the results are established through the decision tree and test of proportions.

Research limitations/implications

The study is limited to students from a single institute.

Practical implications

This Pattern analysis, as applied in this paper, can be scaled to evaluate the impact of any innovative pedagogical approach agnostic of the field of study. Facilitators can use the process defined in the paper to implement PBL for teaching Statistics and Operations research. Shape parameters of the batch in the previous semester can be utilized by facilitators to plan remedial action for the next semester by classifying students as desirable/non-desirable. Techno-management institutes can alleviate the dread and fear of mathematical subjects by integrating PBL with classroom teaching.

Originality/value

The study utilizes an innovative analytical approach of combining shape parameters with classification. It further provides uniqueness in arriving at a classification of batch performance as desirable/non-desirable and utilizes data mining to emphasize a delineating impact of PBL across both critical parameters of the batch and the student. The study also defines a framework for the implementation of PBL for a techno-management program in Statistics and Operations Research.
Should we increase average income, or the poor’s income to reduce infant and child mortality?
Authors: Rewilak Johan
Published: June 2020

Purpose

This article examines whether increasing the income of the poor – measured as the income of the lowest quintile – is more beneficial in reducing infant and child mortality rates compared with increases in average income. Given the global importance in reducing infant mortality, the value of this research is important to academics, policymakers and practitioners alike.

Design/methodology/approach

Using a sample of 86 countries from 1995–2014 inclusive, our preferred estimation strategy uses an instrumental variable fixed-effects estimator.

Findings

Our results propose that the elasticity of the income of the lowest quintile never exceeds that of average income. Therefore, if reducing infant and child mortality is a key policy goal, then boosting average income may be preferable to raising incomes at the lower end of the distribution.

Originality/value

Given these findings, we open a gateway for new literature to add to this unexplored area of research in the income and health relationship.
Library inventory using a RFID wand: contribution of tag and book specific factors on the read rate
Authors: Abcouwer Kasper , van Loon Emiel
Published: June 2020

Purpose

Low read rates are a general problem in library inventories. The purpose of this study is to examine the factors that contribute to the success of library inventory by means of a radio-frequency identification (RFID) inventory taker. The factors investigated were tag position, tag orientation, book thickness, tag density (related to thickness of a sequence of books) and position on the shelf.

Design/methodology/approach

A total of 210 books were placed in eight random permutations on three fixed book shelves. For each configuration, the RFID tags were read forty times. The resulting data were analysed by means of a generalized linear model, relating the combined contribution of tag position, tag orientation, book thickness and position on the bookshelf to the read rate.

Findings

The tags positioned directly next to the spine were always read, but those near the opening of the book (far from the spine and inventory reader) were not always read. Considering only books with tags near the opening, tag orientation and position on the shelf appeared not to be related to the read rate, while book thickness, thickness over three books and spine tag density appeared to have a small positive contribution to the read rate.

Practical implications

Low read rates during a library inventory can be prevented by placing the tags near the book spine – the other book specific factors (listed in the previous paragraph) are of little influence. When not scanned during a first sweep, repeated scanning can increase the read rate with 0.15.

Originality/value

This paper is one of the first to analyse the influence of tag location and book specific factors on the read rate of RFID tags in library books. The experimental approach sets an example for future work.
Research thematic and emerging trends of contextual cues: a bibliometrics and visualization approach
Authors: Zhao Yang , Wang Lin , Zhang Yaming
Published: June 2020

Purpose

The paper aims to clarify the importance of the psychological processing of contextual cues in the mining of individual attention resources. In recent years, the research of more open spatial perspective, such as spatial and scene perception, has gradually turned to the recognition of contextual cues, accumulating rich literature and becoming a hotspot of interdisciplinary research. Nevertheless, besides the fields of psychology and neuroscience, researchers in other fields lack systematic knowledge of contextual cues. The purpose of this study is to expand the research field of contextual cues.

Design/methodology/approach

We retrieved 494 papers on contextual cues from SCI/SSCI core database of the Web of Science in 1992–2019. Then, we used several bibliometric and sophisticated network analysis tools, such as HistCite, CiteSpace, VOSviewe and Pajek, to identify the time-and-space knowledge map, research hotspots, evolution process, emerging trends and primary path of contextual cues.

Findings

The paper found the core scholars, major journals, research institutions, and the popularity of citation to be closely related to the research of contextual cues. In addition, we constructed a co-word network of contextual cues, confirming the concept of behavior implementation intentions and filling in the research gap in the field of behavior science. Then, the quantitative analysis of the burst literature on contextual cues revealed that the research on it that focused more on multi-objective cues. Furthermore, an analysis of the main path helped researchers clearly understand and grasp in the development trend and evolution track of contextual cues.

Originality/value

Given academic research usually lags behind management practice, our systematic review of the literature to a certain extent make a bridge between theory and practice.
Robots are coming to the libraries: are librarians ready to accommodate them?
Authors: Tella Adeyinka
Published: June 2020

Purpose

This paper aims to examine the coming of robots to libraries and the readiness of their hosts who are the librarians in welcoming and accommodating them.

Design/methodology/approach

A conceptual and review analysis of documents was adopted to determine the types of robots used in libraries along with their duties, the librarians’ readiness and the likes.

Findings

There is the fear that the coming of robots to libraries is to take the librarians job; contrarily the arrival of robots to the library is not to replace the librarians but rather to complement their efforts.

Originality/value

The paper is the original idea by the authors, and it is to get the librarians with limited skills in libraries prepared for up-skilling if they do not want to be replaced by the robots.
Back to the future of Knowledge Management Systems off the beaten paths
Authors: Cerchione Roberto , Centobelli Piera , Zerbino Pierluigi , Anand Amitabh
Published: June 2020

Purpose

The evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).

Design/methodology/approach

This paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).

Findings

The findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.

Originality/value

The proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.
Towards the development of a smart fused filament fabrication system using multi-sensor data fusion for in-process monitoring
Authors: Moretti Michele , Bianchi Federico , Senin Nicola
Published: June 2020

Purpose

This paper aims to illustrate the integration of multiple heterogeneous sensors into a fused filament fabrication (FFF) system and the implementation of multi-sensor data fusion technologies to support the development of a “smart” machine capable of monitoring the manufacturing process and part quality as it is being built.

Design/methodology/approach

Starting from off-the-shelf FFF components, the paper discusses the issues related to how the machine architecture and the FFF process itself must be redesigned to accommodate heterogeneous sensors and how data from such sensors can be integrated. The usefulness of the approach is discussed through illustration of detectable, example defects.

Findings

Through aggregation of heterogeneous in-process data, a smart FFF system developed upon the architectural choices discussed in this work has the potential to recognise a number of process-related issues leading to defective parts.

Research limitations/implications

Although the implementation is specific to a type of FFF hardware and type of processed material, the conclusions are of general validity for material extrusion processes of polymers.

Practical implications

Effective in-process sensing enables timely detection of process or part quality issues, thus allowing for early process termination or application of corrective actions, leading to significant savings for high value-added parts.

Originality/value

While most current literature on FFF process monitoring has focused on monitoring selected process variables, in this work a wider perspective is gained by aggregation of heterogeneous sensors, with particular focus on achieving co-localisation in space and time of the sensor data acquired within the same fabrication process. This allows for the detection of issues that no sensor alone could reliably detect.
Mechanical, thermal, melt-flow and morphological characterizations of bentonite-filled ABS copolymer
Authors: Alhallak Laylay Mustafa , Tirkes Seha , Tayfun Umit
Published: June 2020

Purpose

This study aims to investigate the mechanical, thermal, melt-flow and morphological behavior of acrylonitrile-butadiene-styrene (ABS)-based composites after bentonite inclusions. Melt mixing is the most preferred production method in industrial scale and basically it has very near processing parameters compared to 3D printing applications. Rheological parameters of ABS and its composites are important for 3D applications. Melt flow behavior of ABS effects the fabrication of 3D printed product at desired levels. Shear thinning and non-Newtonian viscosity characteristics of ABS make viscosity control easier and more flexible for several processing techniques including injection molding, compression molding and 3D printing.

Design/methodology/approach

ABS copolymer was reinforced with bentonite mineral (BNT) at four different loading ratios of 5%, 10%, 15% and 20%. ABS/BNT composites were fabricated by lab-scale micro-compounder followed by injection molding process. Mechanical, thermo-mechanical, thermal, melt-flow and morphological properties of composites were investigated by tensile, hardness and impact tests, dynamic mechanical analysis (DMA), thermo-gravimetric analysis (TGA), melt flow index (MFI) test and scanning electron microscopy (SEM), respectively.

Findings

Mechanical tests revealed that tensile strength, elongation and hardness of ABS were enhanced as BNT content increased. Glass transition temperature and storage modulus of ABS exhibited increasing trend with the additions of BNT. However, impact strength values dropped down with BNT inclusion. According to MFI test measurements, BNT incorporation displayed no significant change for MFI value of ABS. Homogeneous dispersion of BNT particles into ABS phase was deduced from SEM micrographs of composites. Loading ratio of 15% BNT was remarked as the most suitable candidate among fabricated ABS-based composites according to findings.

Research limitations/implications

The advanced mechanical properties and easy processing characteristics are the reasons for usage of ABS as an engineering plastic. Owing to the increase in its usage for 3D printing technology, the ABS became popular in recent years. The utilization of ABS in this technology is in filament form with various colors and dimensions. This is because of its proper rheological features.

Practical implications

Melt-mixing technique was used as preparation of composites, as this processing method is widely applied in industry. This method is also providing similar processing methodology with 3D printing technology.

Originality/value

According to the literature survey, to the best of the authors’ knowledge, this study is the first research work regarding the melt-flow performance of ABS-based composites to evaluate their 3D printing applications and processability. ABS and BNT containing composites were characterized by tensile, impact and shore hardness tests, DMA, TGA), MFI test and SEM techniques.
Management response to eWOM in rural lodging establishments
Authors: Hernández-Maestro Rosa M.
Published: June 2020

Purpose

Companies are adopting a more active role in managing their online reputations by using electronic word of mouth (eWOM) and often responding directly to customer reviews. Therefore, companies need to understand the effects of management responses to customer reviews. This study aims to explore whether it is worth responding to reviews and whether expressing gratitude enhances the effects of review responses.

Design/methodology/approach

This study uses customer reviews and management response data from a sample of 766 Spanish rural lodging establishments listed on Toprural (www.toprural.com). Analyses are undertaken with NVivo and SmartPLS.

Findings

Responding to negative reviews improves lodging establishments’ average ratings, but responding to positive reviews has no significant direct effect. Expressing gratitude in responses positively moderates the effects of review responses; this moderating effect is more significant for responses to negative than to positive reviews.

Originality/value

Previous research provides contradictory evidence about the positive outcomes of a company’s responses; it also does not address expressions of gratitude. This research provides evidence of the direct effects of management response quantity on ratings. It also expands current research on the content characteristics of these responses. The contextual setting for this research, rural tourism, is a key driver of sustainable rural development and a sector in which eWOM is especially relevant; thus, correctly managing the eWOM phenomenon becomes crucial.
Overcoming adversity: a grounded theory of health management among middle‐aged and older gay men
Authors: Handlovsky Ingrid , Bungay Vicky , Johnson Joy , Oliffe John
Published: June 2020

This article presents findings from a grounded theory study in which we explored how self‐identifying gay men between 40 and 76 years of age manage their health in the context of homophobia, heteronormativity and discrimination. Data were collected with 25 men over a 6‐month period in a large urban setting in Western Canada. A preliminary theory of health management is discussed, consisting of the central phenomenon of overcoming adversity. Three thematic processes are considered that illustrate how adversity and health management are situated within the interrelationships of historical and ongoing discrimination inclusive of and external to the healthcare encounter, the complexity of men’s illnesses, and the temporal aspects of HIV epidemics and treatments that occurred throughout their lives. These themes include: advocating for health needs, knowing about health issues and treatments, and engaging in health promoting practices. These findings help to address a gap in knowledge concerning health management among older gay men and support that initiatives aimed at health care with gay men must appreciate the systemic role of discrimination, while supporting men’s individual efforts in actively managing their health.