bluuebunny/crossref_metadata_2025_split huggingface dataset:
The contribution of implementation science to improving the design and evaluation of integrated care programmes for older people with frailty
Authors: Sadler Euan , Sandall Jane , Sevdalis Nick , Wilson Dan 
Published: October 2018

Purpose
The purpose of this paper is to discuss three potential contributions from implementation science that can help clinicians and researchers to design and evaluate more effective integrated care programmes for older people with frailty.

Design/methodology/approach
This viewpoint paper focuses on three contributions: stakeholder engagement, using implementation science frameworks, and assessment of implementation strategies and outcomes.

Findings
Stakeholder engagement enhances the acceptability of interventions to recipients and providers and improves reach and sustainability. Implementation science frameworks assess provider, recipient and wider context factors enabling and hindering implementation, and guide selection and tailoring of appropriate implementation strategies. The assessment of implementation strategies and outcomes enables the evaluation of the effectiveness and implementation of integrated care programmes for this population.

Research limitations/implications
Implementation science provides a systematic way to think about why integrated care programmes for older people with frailty are not implemented successfully. The field has an evidence base, including how to tailor implementation science strategies to the local setting, and assess implementation outcomes to provide clinicians and researchers with an understanding of how their programme is working. The authors draw out implications for policy, practice and future research.

Originality/value
Different models to deliver integrated care to support older people with frailty exist, but it is not known which is most effective, for which individuals and in which clinical or psychosocial circumstances. Implementation science can play a valuable role in designing and evaluating more effective integrated care programmes for this population.
From hollow hero to expert empathiser: leadership in transition
Authors: Fleming Kerrie , Millar Carla , Culpin Vicki 
Published: October 2018

Purpose
Leader-centred teaching has often taken as normal a cyclical pattern of business, which Marques (2014) argues is no longer the appropriate model. The purpose of this paper is to examine the current leadership curriculum paradigm and the case for an alternative pedagogy which better caters for the messy reality – without recurrent patterns or historical certainties – that global organisations and their business leaders currently often have to deal with. In particular, it addresses implications for the “hero” model of leadership.

Design/methodology/approach
The empirical findings are elicited through a combination of case studies, qualitative surveys and action research methods which include organisational development which encourages leaders to develop skills and capability to enquire into and work with their own group processes and design. Arts-based methods, such as poetry, music, painting, sculpture or music are offered as a means to help cultivate the leader’s creative potential and reach into those vulnerable places which often remain hidden amongst traditional didactic methods of facilitation.

Findings
The empirical findings call for a deconstruction of the hero leader through increasing reflexivity to help leaders understand their own feelings, reactions and motives. It encourages bespoke leadership competencies which can be adapted for individuality. This suggests that contemporary leaders and managers first need to understand what capacities and deficiencies they have as individuals, and second how to build an appropriate mix of skills through understanding and reflecting on their own individual experiences and actions.

Originality/value
The paper introduces an approach to leadership training which takes account of the demand for organisations to serve a social purpose, and the need for effectively leading a workforce where the power of the individual is growing with millennials pushing this and questioning the very premises of corporate behaviour and economic and social principles which guide it. It acknowledges that the demands on leaders are shoulder-buckling at the best of times but proposes that business school teaching on leadership must address the messiness of reality and offer means and ways of thriving in spite of such chaos.
Integrating UTAUT and UGT to explain behavioural intention to use M-learning
Authors: Thongsri Nattaporn , Shen Liang , Bao Yukun , Alharbi Ibraheem Mubarak 
Published: October 2018

PurposeThe purpose of this study was to investigate factors that influence the intention to use mobile learning (m-learning) by learners in developing countries such as Thailand. This study integrated two theories; namely, the unified theory of acceptance and use of technology (UTAUT), which focuses on technology, and uses and gratifications theory (UGT), which involves studying learners’ motivation.Design/methodology/approachApplying a quantitative research method, this study conducted a survey of 359 undergraduates. The partial least squares methods and a statistical analysis technique based on the structural equation modelling (SEM), were used to analyse the data.FindingsThe results revealed that the performance expectancy, cognitive need, affective need and social need had significant effect on intention to use m-learning. Furthermore, this study found a significant effect of the cognitive need on the performance expectancy and social need on effort expectancy.Practical implicationsThis research model has provided guidelines for the effective development of educational applications for use on mobile devices. The findings can be applied as guidelines for public organizations to develop educational strategies to further encourage the development of online learning.Originality/valueThis research closed a gap of understanding from previous studies by integrating UTAUT and UGT. The method derived from the theoretically integrated model could be applied to study the intentions for the implementation the mobile learning application from the context of developing countries such as Thailand.
Increasing women’s participation in the STEM industry
Authors: Friedmann Enav 
Published: October 2018

Purpose
The purpose of this study is to investigate women and men’s differences in perceived importance of various job attributes. Analyzing the job attributes that derive value might help to form intervention ideas for promoting greater participation of women in Science, Technology, Engineering and Mathematics (STEM) industries. Current research has primarily focused on this issue from educational, sociological and gender-based approaches, suggesting interventions such as enriching women’s science literacy and skills, increasing their science self-confidence and changing stereotypical views of the STEM field as masculine (perceived as lacking altruistic or communal values). Other have suggested policy interventions that include workplace family supportive programs.

Design/methodology/approach
Choice-based conjoint and choice model analyses were conducted to examine the importance of different job attributes for women and men.

Findings
Salary and the ability to combine work and family obligations were the most important determinants of women’s career choices.

Practical implications
This study is a first step to inform future intervention designs based on social marketing strategy. Focusing on the attributes related to women’s career choices is suggested to facilitate women’s entry into the STEM industry.

Social implications
Increasing the value of STEM careers might lead to more equal representation of women in the STEM field.

Originality/value
For the first time, initial principals of a social marketing intervention is suggested after an examination of the core attributes related to women’s career choices.
Exploring the nutritional and phytochemical potential of sorghum in food processing for food security
Authors: Chhikara Navnidhi , Abdulahi Burale , Munezero Claudia , Kaur Ravinder , Singh Gurpreet , Panghal Anil 
Published: October 2018

PurposeSorghum is quite comparable to wheat, rich source of nutrients with various health benefits, and therefore considered as a grain of future. The purpose of this paper is to review the bioactive active compounds, health benefits and processing of the sorghum. Sorghum is utilized for animal feeding rather than the human food usage. Therefore, this paper focuses on the emerging new health foods with benefits of the sorghum.Design/methodology/approachMajor well-known bibliometric information sources searched were the Web of Science, Google Scholar, Scopus and PubMed. Several keywords like nutritional value of sorghum, bioactive compounds present in sorghum, health benefits of sorghum and processing of sorghum were chosen to obtain a large range of papers to be analyzed. A final inventory of 91 scientific sources was made after sorting and classifying them according to different criteria based on topic, academic field country of origin and year of publication.FindingsFrom the literature reviewed, sorghum processing through various methods, including milling, malting, fermentation and blanching, bioactive compounds, as well as health benefits of sorghum were found and discussed.Originality/valueThrough this paper, possible processing methods and health benefits of sorghum are discussed after detailed studies of literature from journal articles.
Social media analytics: analysis and visualisation of news diffusion using NodeXL
Authors: Ahmed Wasim , Lugovic Sergej 
Published: October 2018

Purpose
The purpose of this paper is to provide an overview of NodeXL in the context of news diffusion. Journalists often include a social media dimension in their stories but lack the tools to get digital photos of the virtual crowds about which they write. NodeXL is an easy to use tool for collecting, analysing, visualising and reporting on the patterns found in collections of connections in streams of social media. With a network map patterns emerge that highlight key people, groups, divisions and bridges, themes and related resources.

Design/methodology/approach
This study conducts a literature review of previous empirical work which has utilised NodeXL and highlights the potential of NodeXL to provide network insights of virtual crowds during emerging news events. It then develops a number of guidelines which can be utilised by news media teams to measure and map information diffusion during emerging news events.

Findings
One emergent software application known as NodeXL has allowed journalists to take “group photos” of the connections among a group of users on social media. It was found that a diverse range of disciplines utilise NodeXL in academic research. Furthermore, based on the features of NodeXL, a number of guidelines were developed which provide insight into how to measure and map emerging news events on Twitter.

Social implications
With a set of social media network images a journalist can cover a set of social media content streams and quickly grasp “situational awareness” of the shape of the crowd. Since social media popular support is often cited but not documented, NodeXL social media network maps can help journalists quickly document the social landscape utilising an innovative approach.

Originality/value
This is the first empirical study to review literature on NodeXL, and to provide insight into the value of network visualisations and analytics for the news media domain. Moreover, it is the first empirical study to develop guidelines that will act as a valuable resource for newsrooms looking to acquire insight into emerging news events from the stream of social media posts. In the era of fake news and automated accounts, i.e., bots the ability to highlight opinion leaders and ascertain their allegiances will be of importance in today’s news climate.
Determinants of overconfidence bias in Indian stock market
Authors: Kansal Priya , Singh Seema 
Published: October 2018

Purpose
The purpose of this paper is to conduct an exploratory analysis of the demographic factors and investors’ characteristics, which cause changes in the extent of overconfidence level and its constituents among the individuals.

Design/methodology/approach
A survey has been conducted to explore the determinants of overconfidence and its constituents with the help of a well-structured close-ended questionnaire. The four constituents of overconfidence considered for the study are “better than average effect,” “planning fallacy,” “self-attribution” and “positive illusion.” The collected data are analyzed with the help of t-test, ANOVA and standard ordinary least square regression.

Findings
The results show that those who earn high, have more dependents, share the earning responsibility, have high investment frequency, less time horizon and more investment experience and invest in large cap stocks are more subject to the overconfidence. The study also concludes that gender, age and general education do not affect the level of overconfidence.

Research limitations/implications
The results of the study are useful for the market regulators, financial educators, stock market advisors and individual investors in avoiding costly investment mistakes, especially when transiting from one category of demographic and investment characteristics to another category of demographic and investment characteristics.

Originality/value
The study is unique in itself, as it contributes an instrument to quantify the level of overconfidence among the individual investors. Moreover, the study attempts to explore the impact of all demographic and investment characteristics in one go, which makes it a valuable contribution in the existing literature.
Applying artificial intelligence: implications for recruitment
Authors: Upadhyay Ashwani Kumar , Khandelwal Komal 
Published: October 2018

Purpose
This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in the recruitment process.

Design/methodology/approach
This paper is prepared by independent academicians who have synthesized their views by a review of the latest reports, articles, research papers and other relevant literature.

Findings
This paper describes the impact of developments in the field of AI on the hiring process and the recruitment industry. The application of AI for managing the recruitment process is leading to efficiency as well as qualitative gains for both clients and candidates.

Practical implications
This paper offers strategic insights into automation of the recruitment process and presents practical ideas for implementation of AI in the recruitment industry. It also discusses the strategic implications of the usage of AI in the recruitment industry.

Originality/value
This article describes the role of technological advancements in AI and its application for creating value for the recruitment industry as well as the clients. It saves the valuable reading time of practitioners and researchers by highlighting the AI applications in the recruitment industry in a concise and simple format.
The unavoidable disruption of the circular economy in tourism
Authors: Vargas-Sánchez Alfonso 
Published: October 2018

Purpose
The whole economy is in a transition process from the linear to the circular paradigm. The tourism industry is no stranger to this paradigm shift, so the purpose of this paper is to stimulate a reflection on the major challenges and opportunities derived from this transformation.

Design/methodology/approach
To inspire discussion, desk research was carried out based on scientific databases (Web of Science and Scopus mainly). This scholarly approach was complemented with another, using internet search engines to find additional documents of a professional nature that could provide extra pieces of evidence about the application of circular economy (CE) in tourism.

Findings
The state-of-the-art in this field is presented, characterized by the scarcity of the scientific literature available and the lack of a common understanding of this concept, with a limited scope in its use. Further, there are very few well-documented initiatives on the CE in the tourism industry. Therefore, this is still an under-researched area that inevitably will deserve much more attention in the years to come. Nonetheless, as a certain degree of terminological confusion was identified, this work is an attempt to help in the conceptual clarification of the CE, with its particularities when is applied to the tourism industry.

Practical implications
The CE concept is a relatively new, but inescapable, paradigm whose application will contribute to a more sustainable tourism industry. The tourism industry has a significant role to play in economic transformation which is ongoing, because of its multiplier effect on the whole economy and its capacity to encourage circular flows among its suppliers and customers. Additionally, it is important to boost this transformation awareness among businesses and consumers, together with some stimuli, particularly for SMEs, with more limited resources for innovation. Effective coordination within the complex and fragmented policy environment is also needed among the various interacting levels (European, national, regional […]) that influence the tourism sector.

Originality/value
To the best of the author’s knowledge, this is the first work carried out to systematize what the literature says about the intersection of the CE and tourism.
Challenges and opportunities – lessons from destinations and organizations
Authors: Costa Jorge , Montenegro Mónica , Gomes João 
Published: October 2018

Purpose
This paper aims to critically review the contributions made by the authors of the papers selected for this global trends issue and to present the main lessons for tourist organizations and destinations.

Design/methodology/approach
A content analysis of the papers presented in this global trends issue was performed so as to identify the most relevant contributions made by authors.

Findings
Despite the questions and uncertainties about the future of this industry, one thing is certain: if the present world context does not change radically, it will continue to grow.

Originality/value
A summary of the key ideas in the articles comprising this global trends issue is presented, allowing for the identification of good practices by organizations and destinations.
Segmenting Generation Y using the Big Five personality traits: understanding differences in fashion consciousness, status consumption and materialism
Authors: Kaur Harsandaldeep , Anand Sahiba 
Published: October 2018

PurposeThe purpose of this paper is to identify personality clusters among consumers of Generation Y in India using the Big Five personality traits and profile these clusters on the basis of their levels of fashion consciousness, inclination toward status consumption and materialistic tendencies.Design/methodology/approachA self-completion questionnaire was administered to 751 respondents from Generation Y (born between 1980 and 2000) using mall-intercept approach. The questionnaire included demographic items and measures of the Big Five personality traits, fashion consciousness, status consumption and materialism. A two-step cluster analysis, using hierarchical and nonhierarchical clustering, was conducted on each respondent’s factor scores on the five dimensions of the Big Five. Later, multivariate analysis of variance (MANOVA) was applied to identify differences in the levels of fashion consciousness, inclination toward status consumption and materialistic tendencies of the clusters.FindingsFour personality clusters were identified, i.e. Conventionalists (N= 95, 12.64 per cent), Anxious Achievers (N= 207, 27.56 per cent), Introverts (N= 204, 27.16 per cent) and Positivists (N= 245, 33.82 per cent). MANOVA revealed significant differences among clusters pertaining to their levels of fashion consciousness, status consumption and materialistic tendencies.Practical implicationsResults suggest that the personality clusters are not homogeneous, and fashion marketers must bear in mind the differences within the cohort of Generation Y while planning their promotion and communication strategies.Originality/valueThe value of this study lies in integrating the widely researched constructs of the Big Five personality traits, fashion consciousness, status consumption and materialism into one holistic study, thereby offering useful insights into the fashion shopping behavior of young Indian adults.
Study on the correlation between age and changes in mosquito bite response
Authors: Oka Keiko , Ohtaki Noriko , Igawa Ken , Yokozeki Hiroo 
Published: October 2018

AbstractMosquito bite reactions consist of an immediate response characterized by an erythema and a wheal, which peaks at 20 min, and a delayed response characterized by a papule and/or an erythema, which peaks at 24 h. Mosquito bite reactions progress from stage I to stage V as an individual is repeatedly bitten as follows: stage I, neither immediate nor delayed reaction; stage II, delayed reaction; stage III, both immediate and delayed reaction; stage IV, immediate reaction; and stage V, neither immediate nor delayed reaction. In 1985, we conducted a cross‐sectional study that demonstrated a positive association between age and stage in response to an Aedes albopictus bite among 162 healthy volunteers. However, it remains unknown how the mosquito bite reaction stage progresses in the same individual over decades. In the present study, the mosquito bite reaction of 10 subjects from the 1985 cross‐sectional cohort was longitudinally evaluated over 30 years. We confirmed the time‐dependent progression of stage in four subjects. One stage II subject and three stage III subjects had advanced to the next stage. We went on to find that, contrasting with the general trend found in the previous studies, the majority of the subjects (6/10) remained of stage III over the 30‐year study period. Upon closer inspection, this apparently non‐progressive group demonstrated a reduction in the size of the delayed reactions. The present study demonstrated a marked individual variability in course of the stage progression.
Optimizing syndromic health surveillance in free ranging great apes: The case of Gombe National Park
Authors: Wolf Tiffany M. , Wang Wenchun “Annie” , Lonsdorf Elizabeth V. , Gillespie Thomas R. , Pusey Anne , Gilby Ian C. , Travis Dominic A. , Singer Randall S. 
Published: October 2018

Abstract

Syndromic surveillance is an incipient approach to early wildlife disease detection. Consequently, systematic assessments are needed for methodology validation in wildlife populations.

We evaluated the sensitivity of a syndromic surveillance protocol for respiratory disease detection among chimpanzees in Gombe National Park, Tanzania. Empirical health, behavioural, and demographic data were integrated with an agent‐based, network model to simulate disease transmission and surveillance.

Surveillance sensitivity was estimated as 66% (95% CI: 63.1, 68.8%) and 59.5% (95% CI: 56.5%, 62.4%) for two monitoring methods (weekly count and prevalence thresholds respectively), but differences among calendar quarters in outbreak size and surveillance sensitivity suggest seasonal effects.

We determined that a weekly detection threshold of ≥2 chimpanzees with clinical respiratory disease leading to outbreak response protocols (enhanced observation and biological sampling) is an optimal algorithm for outbreak detection in this population.

Synthesis and applications. This is the first quantitative assessment of syndromic surveillance in wildlife, providing a model approach to detecting disease emergence. Coupling syndromic surveillance with targeted diagnostic sampling in the midst of suspected outbreaks will provide a powerful system for detecting disease transmission and understanding population impacts.