bluuebunny/crossref_metadata_2025_split huggingface dataset:
What determines consumption of nutritious foods by the urban poor in Africa?
Authors: Chege Christine G. Kiria , Namazzi Stella , Mutua Mercy M. , Onyango Kevin Omondi , Jager Matthias 
Published: July 2021

PurposeMalnutrition remains a big public health issue especially in developing countries. The purpose of this paper is to analyze factors that influence consumption of nutrient-rich foods among children aged 6–59 months and women of reproductive age (15–49 years) in the urban informal settlements of Nairobi, Kenya, and Kampala, Uganda. This study uses multicomposite soft porridge as an example of a nutritious product.Design/methodology/approachA cross-sectional survey was conducted with 574 households from urban informal settlements in Kampala and Nairobi. A systematic random sampling approach was used to select respondents, and interviews were conducted on their sociodemographics, porridge consumption and purchase behavior. Probit regression models were used for the analysis.FindingsResults indicate that households with access to nutrition information are more likely to consume porridge with diversified ingredients, compared to households without nutrition information. Additionally, consumption of fortified porridge flour has a lower probability of consuming porridge flour with diversified ingredients.Practical implicationsThe evidence echoes the need for increased dissemination of nutrition information, which will trigger willingness to pay and consumption of nutritious foods. Further, it underpins the need for processor-level interventions to avail these foods at affordable prices for the benefit of low-income consumers.Originality/valueThis is among the first papers assessing factors that influence consumption of nutritious and diversified soft porridge by children aged 6–59 months and women aged 15–49 in the informal settlements of East Africa.
Risk early warning of food safety using novel long short-term memory neural network integrating sum product based analytic hierarchy process
Authors: Geng Zhiqiang , Liang Lingling , Han Yongming , Tao Guangcan , Chu Chong 
Published: July 2021

PurposeFood safety risk brought by environmental pollution seriously threatens human health and affects national economic and social development. In particular, heavy metal pollution and nutrient deficiency have caused regional diseases. Thus, the purpose of this paper is to present a risk early warning method of food safety considering environmental and nutritional factors.Design/methodology/approachA novel risk early warning modelling method based on the long short-term memory (LSTM) neural network integrating sum product based analytic hierarchy process (AHP-SP) is proposed. The data fuzzification method is adopted to overcome the uncertainty of food safety detection data and the processed data are viewed as the input of the LSTM. The AHP-SP method is used to fuse the risk of detection data and the obtained risk values are viewed as the expected output of the LSTM. Finally, the proposed method is applied on one group of sterilized milk data from a food detection agency in China.FindingsThe experimental results show that compared with the back propagation and the radial basis function neural networks, the proposed method has higher accuracy in predicting the development trend of food safety risk. Moreover, the causal factors of the risk can be figured out through the predicted results.Originality/valueThe proposed modelling method can achieve accurate prediction and early warning of food safety risk, and provide decision-making basis for the relevant departments to formulate targeted risk prevention and control measures, thereby avoiding food safety incidents caused by environmental pollution or nutritional deficiency.
Start-ups' innovation processes and performance in the food industry: a stochastic frontier analysis
Authors: Matricano Diego , Candelo Elena , Sorrentino Mario 
Published: July 2021

PurposeThe food industry has always been supplier dominated, characterised by low research intensity, product line extensions and me-too products. However, recent changes have led new firms operating in the food industry to invest in research and development (R&D) activities in order to introduce innovations into the market and achieve superior performance. This paper aims to verify whether these changes are noteworthy by investigating whether and which innovation-related factors (investments in R&D activities, qualified scientists/engineers and holding a patent) can affect the performance of food start-ups.Design/methodology/approachA sample of 108 innovative start-ups operating in the food industry in Italy was selected, and a stochastic frontier analysis was carried out. This methodology was chosen because of the factorisation of the error term, which is divided into a unilateral component (revealing the inefficiency of the statistical model) and a symmetric component (revealing random gaps).FindingsStatistical elaborations provide two interesting results. One concerns the error term (only random inefficiency affects results) and the other relates to innovation-related factors. Only investments in R&D activities positively affect the performance of innovative start-ups in the Italian food industry.Originality/valueResults confirm the relevance of investments in R&D activities for Italian start-ups aiming to achieve superior performance in the food industry. These results confirm relevant changes are occurring in what was a supplier-dominated industry and disclose how start-ups should master the dynamics of innovation and allow for speculation on future industry trends.
QUICKSERV: a service quality assessment tool for the quick-service restaurant industry
Authors: Mendocilla Mario , Miravitlles Matamoros Paloma , Matute Jorge 
Published: July 2021

PurposeThe purpose of this study is to empirically develop and validate a practical, consistent and specific scale to assess perceived service quality at the service encounter at quick-service restaurants (QSRs).Design/methodology/approachDevelopment and validation of the scale involved a five-stage process. Data were collected from 430 customers of a QSR belonging to an international brand located in Barcelona. Surveys were applied immediately after the service encounter, using the face-to-face method. The scale development procedure involved exploratory and confirmatory factor analyses.FindingsThe results suggest a specific and parsimonious measurement scale, whose structure comprises 14 items in four dimensions. In contrast to previous studies, this study identified the appropriateness of splitting the interaction quality dimension into two single dimensions, one focusing on the interaction time and other on staff–customer interaction. Furthermore, these indicate that a speedy service, pleasant treatment and food quality are the most valued attributes in QSR.Practical implicationsThis scale is a useful instrument to administer and assure service quality standards within QSR management systems. Its practical approach and short survey length ease data collection, considering that customers spend short amounts of time in this type of restaurant. Furthermore, it could also be used by franchisors and restaurant operators as a tool to monitor continuing compliance with service quality standards.Originality/valueThe resulting scale introduces a novel four-factor structure with high goodness of fit to effectively measure customers' perceived service quality in QSRs, where the ease of use and speed of gathering client responses are a key factor for successful implementation.
How macroeconomic indicators influence gold price management
Authors: A Liya , Qin Qian , Kamran Hafiz Waqas , Sawangchai Anusara , Wisetsri Worakamol , Raza Mohsin 
Published: July 2021

PurposeThis study purposes to measure the influencing relations between macroeconomic indicators and the prices of gold. Further study measures several factors with the gold price in the context of the United States.Design/methodology/approachThe secondary data are collected to measure relationship and fluctuation of gold prices the data collected from the website world development indicators (WDI) for the period of 31 years 1990–2019. This paper uses different econometric analysis such as analytical unit root test for stationary of data, descriptive statistical analysis for description of data, correlation coefficient test for measuring the inter correlation, and ordinary least square regression analysis for determine the impact of dependent and independents variables. In this research paper, gross domestic product (GDP), inflation rate (IR), unemployment rate (UR), real interest rate (RIR), gross national product (GNP), standard trade value (STV) are included in macroeconomic indicators and consider as independent. The gold prices are considered as dependent variable.FindingsThis study's overall results show an important and optimistic association between GDP, IR and STV with the gold price. Moreover, the RIR shows negative and does not show significant relation with the gold prices.Originality/valueSince several economic crises were included during the data selection studied in this research paper, data error may be present, resulting in the instability of the overall data. However, the study still hopes to find the guiding role of these macro gold price factors in the price of gold from the limited data set. The basic scope of research is that research is limited in the United States.
Impact of multiple soil conservation practices on rice yields and chemical fertiliser use in China
Authors: Yang Zhihai , Yin Ning , Mugera Amin William , Wang Yumeng 
Published: July 2021

PurposeThis paper analysed survey data of 715 rice-producing households in China to assess the determinants of adoption of five mutually exclusive soil conservation practices (SCPs) and their impact on rice yield and chemical fertiliser use.Design/methodology/approachThe multinomial endogenous treatment effects model was used to account for selection bias and endogeneity arising from both observed and unobserved heterogeneity.FindingsFarms that adopted SCPs as a package experienced an increase in rice yield and decrease in chemical fertiliser use. Adoption of SCPs as a package led to a 12.0% increase in yield and 15.2% decrease in chemical fertiliser use; these results have policy implications for the non-point source pollution control in the agricultural sector. In contrast, adoption of straw retention only significantly reduced yield by 4.9% and increased chemical fertiliser use by 18.1%.Originality/valueThe authors evaluate and compare multi-type of SCPs, such as straw retention, deep tillage and use of organic fertiliser, separately or in combination, and their impacts on smallholder farmers’ rice yield and chemical fertiliser usage.
Effect of customer cooperative behavior on reverse logistics outsourcing performance in the construction industry – A partial least squares structural equation modeling approach
Authors: Nguyen Duy Tai , Rameezdeen Raufdeen , Chileshe Nicholas , Coggins Jeremy 
Published: July 2021

PurposeThis study aims to investigate the effect of Australian construction firms' cooperative behavior on reverse logistics outsourcing performance (RLOP).Design/methodology/approachTo achieve the aim, a questionnaire survey was conducted to collect data from construction firms in Australia. Following this, the study used Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze 173 responses for testing seven hypotheses that are related to the positive effects of cooperative behavior on RLOP.FindingsThe results indicate that three dimensions of customer cooperative behavior (cooperation, commitment and planning) positively influence RLOP in different ways. Cooperation only directly affects RLOP while planning only has an indirect influence on RLOP. Commitment affects RLOP both directly and indirectly.Originality/valueThis is the first study examining empirically antecedents of RLOP in the construction industry. Additionally, it reveals the mediating role of cooperation. Cooperation fully mediates the relationship between planning and RLOP, and partially mediates the relationship between commitment and RLOP.
Empowering leadership and innovative work behavior: the mediating effects of climate for initiative and job autonomy in Moroccan SMEs
Authors: Hassi Abderrahman , Rohlfer Sylvia , Jebsen Simon 
Published: July 2021

PurposeThe purpose of this paper was to explore the role of empowering leadership, organizational climate for initiative and job autonomy in spurring innovative work behavior (IWB).Design/methodology/approachThis study resorted to the structural equation modeling technique along the Bayesian estimation approach to analyze the mediating role of the organizational climate for initiative and job autonomy in the empowering leadership-IWB link in data gathered from CEOs, middle managers and non-managerial employees of 444 small and medium enterprises in Morocco.FindingsThe findings revealed that empowering leadership is a prerequisite of IWB as subordinates, who are empowered by their leaders, demonstrate IWB. Further, organizational climate for initiative and job autonomy mediate the empowering leadership-IWB link.Practical implicationsThis research has demonstrated that firms and organizational leaders who seek to make their middle managers innovative in their job should adopt empowering leadership practices, build an organizational climate that is favorable for initiative-taking and grant middle managers with autonomy in the way they carry out their tasks.Originality/valueThis paper extends our understanding on the mechanisms linking empowering leadership and IWB by testing the mediating effects of organizational climate for initiative and job autonomy.
A performance measurement model for the housekeeping services in healthcare facilities
Authors: Ginthotavidana Sandunika Sasuli Chiranthi , Waidyasekara Kapugama Geeganage Anuradha Samarajeewa 
Published: July 2021

Purpose
The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.

Design/methodology/approach
An exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model.

Findings
The study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness.

Practical implications
The developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions.

Originality/value
Many studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.
Behavioral data assists decisions: exploring the mental representation of digital-self
Authors: Zhang Yixin , Cui Lizhen , He Wei , Lu Xudong , Wang Shipeng 
Published: July 2021

Purpose
The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers. Among the factors that influence decision-making, the mind of digital-self plays an important role. Exploring the influence mechanism of digital-selfs’ mind on decision-making is helpful to understand the behaviors of the crowd intelligence network and improve the transaction efficiency in the network of CrowdIntell.

Design/methodology/approach
In this paper, the authors use behavioral pattern perception layer, multi-aspect perception layer and memory network enhancement layer to adaptively explore the mind of a digital-self and generate the mental representation of a digital-self from three aspects including external behavior, multi-aspect factors of the mind and memory units. The authors use the mental representations to assist behavioral decision-making.

Findings
The evaluation in real-world open data sets shows that the proposed method can model the mind and verify the influence of the mind on the behavioral decisions, and its performance is better than the universal baseline methods for modeling user interest.

Originality/value
In general, the authors use the behaviors of the digital-self to mine and explore its mind, which is used to assist the digital-self to make decisions and promote the transaction in the network of CrowdIntell. This work is one of the early attempts, which uses neural networks to model the mental representation of digital-self.
Analysing the interrelationship of knowledge creation and diffusion challenges of renewable energy technologies development in Iran
Authors: Fartash Kiarash , Ghorbani Amir , Khayatian Mohammadsadegh , Elyasi Mahdi 
Published: July 2021

Purpose
This paper aims at identifying knowledge creation and diffusion challenges and explaining their causal relationship in renewable energy technologies in Iran.

Design/methodology/approach
By reviewing literature of renewable energy technologies development, key knowledge creation and diffusion challenges are extracted. Then, the decision-making trial and evaluation laboratory method is used to investigate the cause-effect relationships as well as the influence structure of aforementioned challenges in Iran.

Findings
The results indicate that lack of specialized higher education and research institutions (C4), limited international product development and technological cooperation with international pioneer firms (C8), insufficient international research interactions of institutions and academic research centres (C6), tight and temporary subsidies to domestic institutes (C13), limited and non-systematic government grants (C14), insufficient tax incentives with low impact on investment (C12), weak enforcement of intellectual property rights (C5), low number and relatively poor performance of NGOs and scientific and trade associations (C19) and the limited number of conferences, workshops, meetings and specialized journals (C15) are among the most instrumental challenges of knowledge creation and diffusion of renewable energy technologies development in Iran.

Originality/value
This paper identifies knowledge creation and diffusion challenges of renewable energy technologies development in Iran, which is applicable for other developing countries. It also analyses the interrelationship and causal effect between challenges which is a neglected issue in the literature and has beneficial theoretical and policy implications.
How workplace bullying affects nurses’ well-being? The roles of burnout and passive avoidant leadership
Authors: Islam Talat , Ali Muhammad , Jamil Saqib , Ali Hafiz Fawad 
Published: July 2021

Purpose
This study aims to investigate individual-related consequences of workplace bullying among the health-care section. Specifically, this study examined the mediating role of burnout between workplace bullying and nurses’ well-being. Moreover, passive avoidant leadership is examined as a conditional variable between workplace bullying and burnout.

Design/methodology/approach
This study collected data from 314 nurses working in various hospitals through a questionnaire-based survey using Google Form in two waves.

Findings
Structural equation modeling confirmed the negative effect of workplace bullying on nurses’ well-being, whereas burnout mediates this relationship. In addition, passive avoidant leadership was identified as a conditional variable that strengthens the positive association between workplace bullying and burnout.

Research limitations/implications
Although data for the study were collected in two waves, still cross-sectional design limits causality.

Practical implications
This study suggests management to focus on developing and implementing counter-bullying rules to avoid the adverse consequences of workplace bullying (e.g. capital loss, recruitment costs, burnout, well-being, etc.). In addition, leaders/supervisors must be trained to fulfill their responsibilities to reduce negative consequences.

Originality/value
Studies on workplace bullying in high-power distance cultures are scant. Therefore, drawing upon conservation of resource theory, to the best of the authors’ knowledge, this is the first study that has investigated the moderating role of passive avoidant leadership on the association between workplace bullying and burnout.
Closed supply network modelling for end-of-life ship remanufacturing
Authors: Chhetri Prem , Nikkhah Mahsa Javan , Soleimani Hamed , Shahparvari Shahrooz , Shamlou Ashkan 
Published: July 2021

PurposeThis paper designs an optimal closed-loop supply chain network with an integrated forward and reverse logistics to examine the possibility of remanufacturing end-of-life (EoL) ships.Design/methodology/approachExplanatory variables are used to estimate the number of EoL ships available in a closed-loop supply chain network. The estimated number of EoL ships is used as an input in the model and then it is solved by a mixed-integer linear programming (MILP) model of the closed-loop supply chain network to minimise the total logistic costs. A discounted payback period formula is developed to calculate the length of time to recoup an investment based on the investment's discounted cash flows. Existing ship wrecking industry clusters in the Western region of India are used as the case study to apply the proposed model.FindingsThe MILP model has optimised the total logistics costs of the closed-loop supply network and ascertained the optimal number and location of remanufacturing for building EoL ships. The capital and variable costs required for establishing and operating remanufacturing centres are computed. To remanufacture 30 ships a year, the discounted payback period of this project is estimated to be less than two years.Practical implicationsShip manufacturing businesses are yet to re-manufacture EoL ships, given high upfront capital expenditure and operational challenges. This study provides management insights into the costs and benefits of EoL ship remanufacturing; thus, informing the decision-makers to make strategic operational decisions.Originality/valueThe design of an optimal close loop supply chain network coupled with a Bayesian network approach and discounted payback period formula for the collection and remanufacturing of EoL ships provides a new integrated perspective to ship manufacturing.