bluuebunny/crossref_metadata_2025_split huggingface dataset:
Who really values healthy food?
Authors: Arroyo Pilar Ester , Liñan Javier , Vera Martínez Jorge 
Published: October 2020

PurposeWhen selecting manufactured foods, customers consider several product features. Given the contemporary trends of food consumption, the purpose of this paper is to determine the influence that some demographic and psychographic key variables have on the chances of a consumer belonging to a market segment characterised by health-related food preferences.Design/methodology/approachThe food choice scale is revised to develop a multidimensional measure of the factors underlying consumer food choices. Data of 288 sampled consumers were used to validate the scale and to group consumers into four segments based on the value assigned to several food-product meta-attributes. Depending on these food choice values, the study identified four dissimilar clusters: utilitarian, protecting, toning and highly demanding.FindingsConsumers use multiple attributes when choosing food products. However, emerging segments tend to prefer health-related attributes over utilitarian or conventional attributes, such as price, flavour or accessibility. The consumers of these segments tend to be older, more health conscious and more prone to psychological health risks.Originality/valueDemographic and psychographic traits tend to drive trade-offs between health- and non-health-related attributes when considering food products. Several multivariate methodologies were innovatively coupled to characterize consumers based on their healthy food preferences and individual traits.
Nutritional labelling and purchase intention interaction of interpretative food labels with consumers' beliefs and decisions
Authors: Medina-Molina Cayetano , Pérez-González Benito 
Published: October 2020

PurposeSpain decided to implement NutriScore with the objective of helping consumers to choose healthier foods. NutriScore is a summary indicator interpretative nutritional labelling. This study aims to verify whether the coexistence with other interpretative labelling may influence NutriScore effectiveness.Design/methodology/approachA questionnaire was used to analyse two different brands in the same category; one of them ranked with a “B” NutriScore rating and the other with a “D” NutriScore rating. The product packaging was shown in four different ways: without indications, with nutrient-specific labels, with summary indicators (NutriScore) and with both interpretative indicators. Having positive and negative evaluations of NutriScore allowed us to assess its impact. Structural equation modelling (SEM), Student t-test and F-test were employed with a sample of 301 questionnaires.FindingsThe different formats of the interpretative labels did not moderate the relationship between perceived healthiness and purchase intention. When a food product is given positive evaluation from NutriScore, nutrient-specific interpretative labelling reinforces the effect of NutriScore. When a food product is given negative evaluation from NutriScore, nutrient specific interpretative labelling cancels the effect of NutriScore on perceived healthiness and purchase intention.Originality/valuePrevious studies have analysed the interaction between NutriScore and nutrient-specific interpretative labels, but they attribute a negative message to the product (warning labels). This study was aimed at analysing the interaction between NutriScore and summary indicators nutrient specific with positive message about the nutritional quality of the food item.
An off-site construction readiness maturity model for the Indian construction sector
Authors: Bendi Deepthi , Rana Muhammad Qasim , Arif Mohammed , Goulding Jack Steven , Sawhney Anil 
Published: October 2020

Purpose
This paper aims to present an off-site construction (OSC) readiness maturity model for assessing the readiness of offsite construction companies in the Indian construction sector.

Design/methodology/approach
The research was conducted in three stages. The first stage consisted of a detailed literature review to document 17 different variables affecting the OSC adoption in India. In Stage 2, 15 semi-structured interviews were carried out where the participants were asked to refine those variables for the Indian context and define what would be different levels of attainment. In the third stage, another set of 5 semi-structure interviews was performed to validate the maturity levels and definitions.

Findings
A three-level OSC readiness maturity model is presented for discussion. This describes 17 variables at different levels of maturity.

Practical Implications
The proposed OSC readiness maturity model guides construction practitioners in India through a structured process to enable them to assess their OSC readiness in the market. This assessment enables them to evaluate and benchmark their processes through the strategic and operational phases. The maturity model also identifies the areas of concern and the scope for further development or change to secure the optimal advantage of OSC methods.

Originality/value
The research produced a model to assess the readiness of OSC adoption in the Indian construction sector. Although the model has been applied to the Indian construction sector, it can easily be modified to accommodate other OSM contexts.
Women, Gender equality and COVID-19
Authors: Carli Linda L. 
Published: October 2020

Purpose
This paper aims to review the existing literature on the effects of the COVID-19 pandemic on gender and work roles to determine whether the pandemic has undermined the status, pay and advancement of women or has provided opportunities for reducing gender inequality.

Design/methodology/approach
The author reviewed the literature on the effects of COVID-19 and past pandemics on gender equality, focusing on job loss, the effects of being in essential occupations on health and well-being, the increased domestic responsibilities of women and men due to closure of schools and other social services and the effects of telecommuting on gender roles.

Findings
The pandemic has generally created challenges for women’s advancement. More women than men have lost their jobs; more women than men are in essential jobs that expose them to infection and psychological stress, and women have had more work disruption than men have had because of increases in childcare and other responsibilities. On the other hand, telecommuting has increased men’s amount of childcare, and this does have the potential to increase men’s childcare responsibilities in the long term, thereby reducing the gender gap in domestic responsibilities and increasing gender equality.

Research limitations/implications
The COVID-19 pandemic is still ongoing and the research on the pandemic’s effects are new and ongoing.

Originality/value
To the best of the author’s knowledge, this is the first scholarly review of the literature on the potential effects of COVID-19 on the gender gap in pay and advancement.
Does transformational leadership matter for innovation in banks? The mediating role of knowledge sharing
Authors: Al-Ahmad Chaar Sherine , Easa Nasser Fathi 
Published: October 2020

Purpose
This paper aims to examine the mediating role of knowledge sharing (KS) on the relationship between the transformational leadership (TL) and innovation in banks.

Design/methodology/approach
Quantitative analysis was conducted by using the structural equations modeling with AMOS 24 to examine the influence of the mediating role of KS on the TL–innovation relationship. Data were collected from 310 employees at 27 banks in Lebanon.

Findings
The research highlights that leaders exhibiting transformational behavior were able to promote knowledge-sharing culture that enhances the generation of new ideas, products and processes. The findings confirmed that KS mediates the association of TL and innovation.

Practical implications
The findings point to how TL mobilizes employees to engage in innovative products and processes by encouraging a knowledge-sharing culture.

Originality/value
The research findings advance the understanding of how TL stimulates innovation and highlights the benefits gained by cultivating KS to generate more innovative outcomes.
Performance analysis of optimal cluster selection and intrusion detection by hierarchical K-means clustering with hybrid ABC-DT
Authors: Jesuretnam Josemila Baby , Rose Jeba James 
Published: October 2020

Purpose
This paper aims to propose a multi-dimensional hierarchical K-means clustering algorithm for the purpose of intrusion detection. Initially, the clustering set of rules is proposed to shape some of clusters in the network and then the most beneficial clusters are decided on by the use of Cuckoo search optimization set of rules. Finally, an Artificial Bee Colony primarily based selection tree (ABC-DT) classifier is rented to classify the regular and unusual instances present in the network with the aid of the extracted features.

Design/methodology/approach
Intrusion detection system (IDS) is crucial for the network system; the intruder can take sensitive details about the network. IDS are said to be more effective when it has both high intrusion detection rate and low false alarm rate. Numerous strategies including gadget mastering, records mining and statistical techniques were tested for IDS mission. Recent study reveals that combining multiple classifiers, i.e. classifiers ensemble, can also own better performance than unmarried classifier. In this paper, a comparative study is conducted of the overall performance of four classifiers, i.e. hybrid ABC-DT particle swarm optimization-based K-means clustering (PSO-KM), help vector device (SVM) and K-Nearest neighbour (KNN). All the four classifiers are tested with exceptional packet sizes 1470, 1024, 512 and 256. The experiment is carried out for the speed ranging from turned into done for the velocity ranging from 250Mbps, 500Mbps, 750Mbps, 1.0Gpbs, 1.5Gbps, and 2.0Gbps in terms of accuracy, detection charge, specificity, false alarm charge and computational time. The experimental results reveals that the hybridization of classifiers performs better than the base classifiers in all scenarios.

Findings
This study analyses the performance of hybrid ABC-DT classifier and compares the performance against three well-known classifiers such as PSO-KM, SVM and K-NN. The performances of all the four classifiers are tested with Discovery in Data Mining (KDD) CUP 99 dataset with different packet sizes 1470, 1024, 512 and 256. The results show the classifier performance variations with different speed ranges. From the experimental results and analysis, the hybridization of classifiers such as ABC-DT outperforms the base classifiers in all scenarios.

Originality/value
The novel approach in this paper is used to study the hybrid ABC-DT classifier and compare the performance against three well-known classifiers such as PSO-KM, SVM and K-NN. The discussed concept is used within the network to monitor the traffic to and from all the devices connected in that network.
How does perceived cost and value influence pharmacy patronage? A scoping review
Authors: Grew Bethany , Collins Jack Charles , Schneider Carl Richard , Carter Stephen Ross 
Published: October 2020

PurposeTo date, community pharmacy research has largely focused on the impact of service quality elements on patronage behavior. Investigation into the influence of cost and value is limited. The purpose of this study is to explore what is known about customers’ perceptions of cost and value, and how these influence patronage patterns in community pharmacy.Design/methodology/approachA scoping review framework was used to conduct a systematic search of four databases with the addition of articles sourced from reference lists. The database search was reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Reviews protocol. Studies were analyzed in terms of author name, date of publication, study location, study population, methods and key findings.FindingsThe 26 studies retrieved were qualitative or quantitative in nature and included a broad sample population. Both cost and value were found to be key factors influencing pharmacy choice. Pharmacy customers were found to perceive costs in terms of monetary, psychological, emotional and convenience-related sacrifices. Value was either perceived as relating to the worth or utility of a good or service, or in terms of a trade-off relationship between what was received and given up by the consumer.Research limitations/implicationsA comprehensive interrogation into the true meaning of “value” to consumers is warranted to improve quantitative measurement instruments.Practical implicationsPharmacies may attempt to influence customer behavior by minimizing unfixed costs to the consumer such as the price of goods and services and time costs.Originality/valueThis review highlights the need for academic enquiry into how consumers trade-off perceived costs for service in community pharmacy.
Education and inequality in employment in China and Japan in 2000s: a social network perspective
Authors: Fung Ka Yi 
Published: October 2020

PurposeThis paper attempts to discover whether or not social networks work in the same way in different sectors of the labour market in the same society, using data from the 2008 Asian Social Survey. Labour markets in some societies are segmented; there are two segments in the labour market, namely, the core sector and the peripheral sector. The practices of each sector differs from the others. Some sectors employ CME labour markets, while others favour LME labour markets (Kanbayashi and Takenoshita, 2014). In other words, we can find both CME and LME labour market in one society.Design/methodology/approachSince Granovetter’s (1973) pioneer study, scholars are interested in investigating in what way social network influence our job searching outcomes. However, these researchers have not yet yielded consistent results. Scholars argue that the institutional context of labour market can shape the network impacts on our job search outcome (Chen, 2014; Chua, 2011).FindingsSurprisingly, this paper finds that there is no room for the use of personal contact in the public sector in both China and Japan. But, mean status is positively related to annual income in the private companies sector in both Japan and China. The significant influences of mean status in the private sectors in both China and Japan reflect the reinforcing of existing social inequality structure. This is because as the status of contact can facilitate respondents' job attainment process, those who are already in higher social status are more likely than those who are in the bottom of the social strata, to get a better job with the help from their network members.Originality/valueThe above findings show us that social network can exert various impacts on people's job searching process even in the same society. This is because it is possible that the labour market are segmented. These segments have very different practices. This difference attributes to the inconsistent findings of network effects on occupational attainment process. Therefore, it is essential to locate which labour market respondents are in, and the features of this labour market. This can help us know more about the use and effectiveness of network in different types of labour markets.
Switching from cash to mobile payment: what's the hold-up?
Authors: Loh Xiu-Ming , Lee Voon-Hsien , Tan Garry Wei-Han , Ooi Keng-Boon , Dwivedi Yogesh K. 
Published: October 2020

PurposeThis paper explores the reasons behind the slow uptake of mobile payment (m-payment) from a switching intention (SI) perspective. The antecedents of SI from cash to m-payment were explored using an integrated conceptual model of the push-pull-mooring (PPM) framework and the status quo bias (SQB) perspective.Design/methodology/approachA self-administered survey was used to collect data, which are empirically tested using SmartPLS 3.0.FindingsThe push factor was found to have an insignificant effect on SI to m-payment whereas the pull factor was significant. Furthermore, the results revealed that the two mooring variables have contrasting results as trust is not a significant determinant of SI to m-payment while perceived security and privacy (PSP) is. Additionally, all SQB-related relationships were found to be statistically significantOriginality/valueThis study determined the factors that play vital roles in the consumers' decision-making to transition from cash to m-payment. This was done via a uniquely developed conceptual model that incorporated the PPM framework with the SQB perspective.
ICT-enabled CRM system adoption: a dual Indian qualitative case study and conceptual framework development
Authors: Chatterjee Sheshadri , Chaudhuri Ranjan , Vrontis Demetris , Thrassou Alkis , Ghosh Soumya K. 
Published: October 2020

Purpose
The paper aims to develop a comprehensive framework for adopting an information and communication technology (ICT)-enabled customer relationship management (CRM) system, toward strengthening and expanding the customer basis of the organization.

Design/methodology/approach
Advanced ICT-enabled CRM includes mobile CRM, AI integrated CRM and social CRM and several business organizations have already started exploring their advanced utilization for direct financial gain and indirect “soft” benefits. Most of them, however, are challenged in the process, due to lower-than-demanded adoption of such CRM systems. To deal with the issue, the paper methodologically applies a dual qualitative case study approach that ultimately develops an advanced comprehensive CRM adoption framework.

Findings
The key findings pertaining to the evaluation of organizations’ readiness to adopt advanced ICT-enabled CRM systems in terms of infrastructure and resources, the identification of the critical functional areas of the organization’s focus and the differences in the requisite approaches across industries and organization types.

Practical implications
In the context of the internet and social media, the analysis and management of customer big data and their transcription into useable information is crucial. Traditional and conventional CRM was deemed unable to address this need, thus necessitating the use of advanced ICT-enabled CRM. The proposed corresponding framework tangibly and practically, thus, directs businesses toward the successful deployment of ICT-based CRM systems.

Originality/value
This study constitutes a novel attempt to identify the issues of deployment of ICT-based CRM systems in an organization and proposes a comprehensive framework, which will enable organizations to overcome the barriers when adopting a new system.
Strategic management in family business. The missing concept of the familiness learning mechanism
Authors: Barros-Contreras Ismael , Basco Rodrigo , Martín-Cruz Natalia , Hernangómez Juan 
Published: October 2020

PurposeThe purpose of this article is to provide a comprehensive understanding of the roots of family firms' competitive advantages by defining and testing the familiness learning mechanisms that emerge from the interaction between family and firm. Because family members are economically, emotionally and socially attached to the firm, family firms are expected to be able to develop unique and difficult to imitate learning mechanisms related to family firm value creation.Design/methodology/approachThis study operationalizes and tests the concept of the familiness learning mechanism using a sample of nonlisted Spanish family firms. The sample is analyzed using the structural equation modeling method.FindingsResults show that family firms' ability to accumulate internal and external knowledge, integrate social knowledge, as well as create and retain socioemotional knowledge forms the concept of the familiness learning mechanism, and the authors show what implications it might have for family firm value creation.Originality/valueBy using the dynamic capabilities approach, this article highlights the importance of the knowledge and learning derived from family involvement in the firm. The creation of learning mechanisms occurs because of the close relationships between family members and their simultaneous participation in the family and in the company systems, which creates a unique context wherein knowledge and learning emerge in an idiosyncratic manner.
Consumer acceptance of self-service technologies in fashion retail stores
Authors: Park Jee-Sun , Ha Sejin , Jeong So Won 
Published: October 2020

PurposeThe purpose of this study was to update the fashion retail literature with an investigation of consumers' perceptions of in-store self-service technology (SST) and their willingness to adopt SST for fashion purchases. Specifically, this study examined the relationships between technology readiness (TR), individual characteristics and the perceived pragmatic and hedonic qualities of SST.Design/methodology/approachA web-based survey was distributed to Korean consumers who had experience with in-store technologies. A two-step analysis including confirmatory factor analysis and structural equation modeling was applied.FindingsBoth pragmatic and hedonic perceptions had significant impacts on acceptance of SST for fashion shopping. As for the roles of TR, innovativeness and optimism inherent in TR enhanced consumer perceptions of SST, while discomfort and insecurity did not.Originality/valueThis study extends the knowledge of consumer acceptance of SSTs in fashion retail by highlighting the need to consider hedonic qualities and examining the different roles of each TR dimension for a full understanding of SST acceptance.
Health workforce planning under conditions of uncertainty: identifying supportive integrated care policies using scenario analysis
Authors: Rees Gareth H. , Crampton Peter , Gauld Robin , MacDonell Stephen 
Published: October 2020

PurposeIntegrated care presents health workforce planners with significant uncertainty. This results from: (1) these workforces are likely in the future to be different from the present, (2) integrated care's variable definitions and (3) workforce policy and planning is not familiar with addressing such challenges. One means to deal with uncertainty is scenario analysis. In this study we reveal some integration-supportive workforce governance and planning policies that were derived from the application of scenario analysis.Design/methodology/approachThrough a mixed methods design that applies content analysis, scenario construction and the policy Delphi method, we analysed a set of New Zealand's older persons health sector workforce scenarios. Developed from data gathered from workforce documents and studies, the scenarios were evaluated by a suitably qualified panel, and derived policy statements were assessed for desirability and feasibility.FindingsOne scenario was found to be most favourable, based on its broad focus, inclusion of prevention and references to patient dignity, although funding changes were indicated as necessary for its realisation. The integration-supportive policies are based on promoting network-based care models, patient-centric funding that promotes collaboration and the enhancement of interprofessional education and educator involvement.Originality/valueScenario analysis for policy production is rare in health workforce planning. We show how it is possible to identify policies to address an integrated care workforce's development using this method. The article provides value for planners and decision-makers by identifying the pros and cons of future situations and offers guidance on how to reduce uncertainty through policy rehearsal and reflection.