bluuebunny/crossref_metadata_2025_split huggingface dataset:
The capacitated pollution routing problem with pickup and delivery in the last mile
Authors: Tan Yuyang , Deng Lei , Li Longxiao , Yuan Fang 
Published: May 2019

Purpose
With the increasing awareness of global warming and the important role of last mile distribution in logistics activities, the purpose of this paper is to build an environmental and effective last mile distribution model considering fuel consumption and greenhouse gas emission, vehicle capacity and two practical delivery service options: home delivery (HD) and pickup site service (PS). This paper calls the problem as the capacitated pollution-routing problem with pickup and delivery (CPRPPD). The goal is to find an optimal route to minimize operational and environmental costs, as well as a set of optimal speeds over each arc, while respecting capacity constraints of vehicles and pickup sites.

Design/methodology/approach
To solve this problem, this research proposes a two-phase heuristic algorithm by combining a hybrid ant colony optimization (HACO) in the first stage and a multiple population genetic algorithm in the second stage. First, the HACO is presented to find the minimal route solution and reduce distribution cost based on optimizing the speed over each arc.

Findings
To verify the proposed CPRPPD model and algorithm, a real-world instance is conducted. Comparing with the scenario including HD service only, the scenario including both HD and PS option is more economical, which indicates that the CPRPPD model is more efficient. Besides, the results of speed optimization are significantly better than before.

Practical implications
The developed CPRPPD model not only minimizes delivery time and reduces the total emission cost, but also helps logistics enterprises to establish a more complete distribution system and increases customer satisfaction. The model and algorithm of this paper provide optimal support for the actual distribution activities of logistics enterprises in low-carbon environment, and also provide reference for the government to formulate energy-saving and emission reduction policies.

Originality/value
This paper provides a great space for the improvement of carbon emissions in the last mile distribution. The results show that the distribution arrangement including HD and PS services in the last mile adopting speed optimization can significantly reduce the carbon emission. Additionally, an integrated real-world instance is applied in this paper to illustrate the validity of the model and the effectiveness of this method.
Marginal, localized and restricted activity
Authors: Drejerska Nina , Bareja-Wawryszuk Ola , Gołębiewski Jarosław 
Published: May 2019

Purpose
The purpose of this paper is to investigate marginal, localized and restricted (MLR) activities in pork processing on local food markets in Poland, and identify the value generated for individual links in the supply chain.

Design/methodology/approach
The paper takes a case study approach to investigate the enterprises operating as MLRs. Data were collected during direct interviews with entrepreneurs in Siedlce county, in the Mazovian Region in Poland. The methodology of the basic Business Model Canvas (BMC) was applied to distinguish the two models they operate within direct and with an agent.

Findings
The results of the research process led to identification of customer value generated by MLR activities. For example, directness, authenticity and high quality, which are the main features that differentiate MLR from conventional activities.

Research limitations/implications
The case studies selected for the research were typical of their local food system (LFS). However, it can be expected that the processes described herein can also be found in the various different environments of other small and medium enterprises.

Practical implications
The models worked out during the research process fit perfectly into the assumptions of sustainable rural development, and their implementation could be a source of competitive advantages in LFS.

Originality/value
While MLR activities are usually characterized by the legal perspective, less is known about their operation in practice. This is the first academic study in Poland investigating MLR business models. With application of the BMC, this analysis could be used as a tool guide for building similar models on local food markets. Studies of business models for pork processing could provide inspiration for both academics and practitioners dealing in other food sectors.
Comparativein vitrohypoglycemic studies of unripe, ripe and overripe fruit extract ofMusa paradisiaca(Indian banana)
Authors: Bhinge Somnath Devidas , Bhutkar Mangesh , Randive Dheeraj , Wadkar Ganesh , Jadhav Namrata , Jadhav Amruta , Ingalkar Rakesh 
Published: May 2019

PurposeIn the Indian system of medicine – Ayurveda,Musa paradisiacahas been mentioned as a remedy for various diseases and ailments. Based on the folkloric use, the purpose of this paper is to verify and compare the hypoglycemic potential of unripe, ripe and overripe fruit extract ofMusa paradisiaca.Design/methodology/approachHypoglycemic activity of fruit extracts has been evaluated using variousin vitromethods, namely, determination of glucose adsorption capacity, glucose uptake in yeast cells, amylolysis kinetics and glucose diffusion.FindingsThe extracts of unripe, ripe and overripe fruits ofMusa paradisiacaadsorbed glucose, and the adsorption of glucose increased remarkably with an increase in glucose concentration. In the amylolysis kinetic experimental model, the rate of glucose diffusion was found to increase with time, and all the extracts of unripe, ripe and overripe fruits ofMusa paradisiacademonstrated significant inhibitory effects on the movement of glucose into external solution across the dialysis membrane as compared to the control. The extracts under study also promoted glucose uptake by the yeast cells in all the five glucose concentrations used in the study.Practical implicationsHere, the authors have verified and compared the hypoglycemic potential ofMusa paradisiaca, its unripe fruit extract was found to show a better activity than ripe and overripe fruit extracts.Originality/valueBanana, being an all season readily available fruit, is widely consumed due to its ready availability and low cost. It acts as a complete food for even low socio-economic classes of society, owing to its rich nutritional values. Even in a processed and unprocessed manner, it is an important constituent of diet. The research suggests that instead of consuming ripe and overripe fruit, the unripe fruit will help in management of diabetes.
Consumer groups as grassroots social innovation niches
Authors: Signori Silvana , Forno Francesca 
Published: May 2019

Purpose
The purpose of this paper is to draw on the theoretical framework based on grassroots social innovation niches to analyse how and to what extent participation in consumer groups helps to foster food-related sustainability changes (both at individual, niche and potentially regime levels).

Design/methodology/approach
The data have been collected via two online questionnaires: 204 consumer groups (named GAS, from the acronym of Gruppi di Acquisto Solidale) and 1,658 families belonging to the same groups participated in the research.

Findings
The findings reveal that participation in GAS not only makes individuals more responsible towards their consumption choices and lifestyles, but also makes consumers more willing to collaborate with others, more interested in politics (especially local politics) and increases their sense of social effectiveness.

Social implications
The paper shows how collective consumption can represent a way to increase and foster sustainable behaviours, with the potential to modify socio-economic regimes. Interesting implications are advanced on the relationship between consumers and mainly local and small-scale food producers and on local public governments’ policies.

Originality/value
Due to the very high number of respondents, this research represents a unique opportunity to observe a phenomenon which is difficult to study with surveys and questionnaires because of its informal nature. Understanding the mechanisms and processes that give rise and sustain such forms of collective action is highly relevant for finding ways to promote grassroots initiatives and community actions, which are an often neglected area of system-changing innovation towards sustainability.
Multistage topology optimization of induction heating apparatus in time domain electromagnetic field with magnetic nonlinearity
Authors: Masuda Hiroshi , Okamoto Yoshifumi , Wakao Shinji 
Published: May 2019

Purpose
The purpose of this paper is to solve efficiently the topology optimization (TO) in time domain problem with magnetic nonlinearity requiring a large-scale finite element mesh. As an actual application model, the proposed method is applied to induction heating apparatus.

Design/methodology/approach
To achieve TO with efficient computation time, a multistage topology is proposed. This method can derive the optimum structure by repeatedly reducing the design domain and regenerating the finite element mesh.

Findings
It was clarified that the structure derived from proposed method can be similar to the structure derived from the conventional method, and that the computation time can be made more efficient by parameter tuning of the frequency and volume constraint value. In addition, as a time domain induction heating apparatus problem of an actual application model, an optimum topology considering magnetic nonlinearity was derived from the proposed method.

Originality/value
Whereas the entire design domain must be filled with small triangles in the conventional TO method, the proposed method requires finer mesh division of only the stepwise-reduced design domain. Therefore, the mesh scale is reduced, and there is a possibility that the computation time for TO can be shortened.
Static analyses of laminated rhombic conoids
Authors: Chaubey Abhay Kumar , Kumar Ajay , Chakrabarti Anupam 
Published: May 2019

PurposeThis paper aims to present a new mathematical model for laminated rhombic conoids with reasonable thickness and depth. The presented model does not require the shear correction factor, as transverse strain variation through the thickness was assumed as a parabolic function. The zero transverse shear stress provision at the bottom and the top of rhombic conoids was enforced in the model. The presented model implemented a C0finite element (FE) model, eliminating C1continuity requirement in the mathematical model. The proposed model was validated with analytical, experimental and other methods derived from the literature.Design/methodology/approachA novel mathematical model for laminated composite skew conoidal shells has been proposed. Parabolic transverse shear strain deformation across thickness is considered. FE coding of the proposed novel mathematical model was done. Slope continuity requirement associated with present FE coding has been suitably avoided. No shear correction factor is required in the present formulation.FindingsThis is the first attempt to study the bending response of laminated rhombic conoids with reasonable thickness and depth. After comparisons, the parametric study was performed by varying the skew angles, boundary conditions, thickness ratios and the minimum rise to maximum rise (hl/hh) ratio.Originality/valueThe novelty of the presented model is reflected by the simultaneous addition of twist curvature in the strain field as well as the curvature in the displacement field allowing the accurate analysis of reasonably thick and deep laminated composite rhombic conoids. The behavior of conoids differs from that of usual shells such as cylindrical and spherical due to the conoid’s inherent twist curvature with its complex geometry and different location of maximum deflection.
Multi-objective optimization for repetitive scheduling under uncertainty
Authors: Salama Tarek , Moselhi Osama 
Published: May 2019

Purpose
The purpose of this paper is to present a newly developed multi-objective optimization method for the time, cost and work interruptions for repetitive scheduling while considering uncertainties associated with different input parameters.

Design/methodology/approach
The design of the developed method is based on integrating six modules: uncertainty and defuzzification module using fuzzy set theory, schedule calculations module using the integration of linear scheduling method (LSM) and critical chain project management (CCPM), cost calculations module that considers direct and indirect costs, delay penalty, and work interruptions cost, multi-objective optimization module using Evolver © 7.5.2 as a genetic algorithm (GA) software, module for identifying multiple critical sequences and schedule buffers, and reporting module.

Findings
For duration optimization that utilizes fuzzy inputs without interruptions or adding buffers, duration and cost generated by the developed method are found to be 90 and 99 percent of those reported in the literature, respectively. For cost optimization that utilizes fuzzy inputs without interruptions, project duration generated by the developed method is found to be 93 percent of that reported in the literature after adding buffers. The developed method accelerates the generation of optimum schedules.

Originality/value
Unlike methods reported in the literature, the proposed method is the first multi-objective optimization method that integrates LSM and the CCPM. This method considers uncertainties of productivity rates, quantities and availability of resources while utilizing multi-objective GA function to minimize project duration, cost and work interruptions simultaneously. Schedule buffers are assigned whether optimized schedule allows for interruptions or not. This method considers delay and work interruption penalties, and bonus payments.
Internal and external financing of innovation
Authors: Nylund Petra A. , Arimany-Serrat Nuria , Ferras-Hernandez Xavier , Viardot Eric , Boateng Henry , Brem Alexander 
Published: May 2019

PurposeSuccessful innovation requires a significant financial commitment. Therefore, the purpose of this paper is to investigate the relation between internal and external financing and the degree of innovation in European firms.Design/methodology/approachAn empirical investigation is carried out using a longitudinal data set including 146 large, quoted, European firms over ten years, resulting in 1,460 firm years.FindingsThe authors find that only firms in the energy sector will be more innovative when they are profitable. For the sectors of basic materials, manufacture and construction, services, financial and property services, and technology and telecommunications, profitability is negatively related to innovation. External financing in the form of debt reduces the focus on innovation in profitable firms.Research limitations/implicationsThe authors analyze the findings through the lens of evolutionary economics. The model is not valid for firms in the consumer-goods sector, which indicates a need for adapting the model to each sector. We conclude that the impact of profitability on innovation varies across sectors, with debt financing as a moderating factor.Originality/valueTo the best of authors’ knowledge, this is the first study that analyzes the internal and external financing and the degree of innovation in European firms on a longitudinal basis.
Identification of entrepreneurial education contents using nominal group technique
Authors: Srivastava Sumita , Satsangi Kanika , Satsangee Nandita 
Published: May 2019

PurposeThe purpose of this paper is to identify the elements of education and training intervention that facilitate occupational transition intentions of undergraduates and encourage them to opt for entrepreneurial pursuit.Design/methodology/approachThe study, conducted in India, employed the nominal group technique (NGT) – A systems science technique – which considers that users are experts and they must participate in the decision-making process. The application of NGT involved a workshop format; 15 domain experts participated in the workshop. Throughout the process, a democratic process was followed to avoid individual dominance and premature focusing on a single idea.FindingsThe study obtained 63 responses from experts for effective entrepreneurship education in India. The responses were reduced to seven elements after a few thematic iterations. These elements were then segregated into content (knowledge, skills and attitude) and learning interaction on the basis of experts’ responses. An initial draft of the course based upon the elements identified through NGT is presented in this paper.Originality/valueThis study is unique and different from previous research on entrepreneurship education in several ways: It takes cognizance of multiple stakeholders; It provides a theoretical framework along with empirical groundwork; It suggests curriculum contents that have contextual as well as universal relevance. This paper contributes to the emerging dimensions of entrepreneurship literature, which implies a shift from understanding a well-established Western context of entrepreneurship research to transitional societies from the East.
Modelling return behaviour of global real estate investment trusts equities
Authors: Owusu Junior Peterson , Tweneboah George , Ijasan Kola , Jeyasreedharan Nagaratnam 
Published: May 2019

PurposeThis paper aims to contribute to knowledge by investigating the return behaviour of seven global real estate investment trusts (REITs) with respect to the appropriate distributional fit that captures tail and shape characteristics. The study adds to the knowledge of distributional properties of seven global REITs by using the generalised lambda distribution (GLD), which captures fairly well the higher moments of the returns.Design/methodology/approachThis is an empirical study with GLD through three rival methods of fitting tail and shape properties of seven REIT return data from January 2008 to November 2017. A post-Global Financial Crisis (GFC) (from July 2009) period fits from the same methods are juxtaposed for comparison.FindingsThe maximum likelihood estimates outperform the methods of moment matching and quantile matching in terms of goodness-of-fit in line with extant literature; for the post-GFC period as against the full-sample period. All three methods fit better in full-sample period than post-GFC period for all seven countries for the Region 4 support dynamics. Further, USA and Singapore possess the strongest and stronger infinite supports for both time regimes.Research limitations/implicationsThe REITs markets, however, developed, are of wide varied sizes. This makes comparison less than ideal. This is mitigated by a univariate analysis rather than multivariate one.Practical implicationsThis paper is a reminder of the inadequacy of the normal distribution, as well as the mean, variance, skewness and kurtosis measures, in describing distributions of asset returns. Investors and policymakers may look at the location and scale of GLD for decision-making about REITs.Originality/valueThe novelty of this work lies with the data used and the detailed analysis and for the post-GFC sample.
The refugee camp management: a general framework and a unifying decision-making model
Authors: Karsu Ozlem , Kara Bahar Y. , Selvi Bayram 
Published: May 2019

PurposeMotivated by the increasing need to provide support to refugees, which remains as a pressing issue in the agenda of many countries, the purpose of this paper is to consider the refugee camp management problem. Although each of these countries may have different procedures shaped by their own culture, rules and regulations, the main structure of the problem can be modeled utilizing a general framework which will apply to different practices.Design/methodology/approachIn this study, the authors consider the issue with an operations research (OR) perspective and provide such a framework utilizing Turkish Red Crescent (TRC)’s field expertise in many regions of the world. In the proposed framework, the overall refugee camp management problem is first categorized in two main phases: the establishment phase, which consists of one-time decisions like infrastructure design and the administration phase, which focuses on routine decisions that are taken on a periodic basis like aid distribution.FindingsThe authors then provide a unifying decision-making model for the establishment phase and detail the administrative phase via subcategories, linking the relevant problems to the OR literature. The proposed framework is general enough to be used by practitioners and to be utilized by the academicians to define new OR problems to the literature.Originality/valueTRC’s know-how is very broad and extensive. Integrating that know-how with OR perspective, the authors provide a general framework that could be of use to practitioners as well as academicians. The proposed framework will constitute an example for countries of asylum and national or international NGOs to manage the refugee camps efficiently. The authors also highlight main challenges and dynamics of the decision-making problems encountered in different parts of the proposed framework, which may constitute many different problems to the OR literature each of which can open new venues for future research.
Attitude and subjective norm as personal moral obligation mediated predictors of intention to build eco-friendly house
Authors: Sia Surendra Kumar , Jose Alphonsa 
Published: May 2019

PurposeThe purpose of this paper is to combine the theory of planned behavior variables with norm activation model to predict the behavioral intention to build eco-friendly houses among adult house owners of Kerala. It was hypothesized that the moral obligation will mediate the relationship of both attitude and subjective norm toward the intention to build eco-friendly houses.Design/methodology/approachData were collected from 269 adult house owners from Kerala with the help of structured questionnaires. Attitude toward eco-friendly houses was measured using semantic differential scale, subjective norm was measured using items adapted from Ajzen and Jansson and Dorrepaal, personal norm was measured using 7 items adapted from Jansson and Dorrepaal and behavioral intention to build eco-friendly house was measured using 14-item measures which probed the various characteristics of eco-friendly buildings. Data were analyzed using mediation analysis with the help of PROCESS macro plug-in of IBM SPSS.FindingsThe study revealed that the relationship between subjective norm and behavioral intention to construct eco-friendly houses was fully mediated by personal norm, and the relationship between attitude and behavioral intention was partially mediated by personal norm.Research limitations/implicationsEco-friendly houses or sustainable architecture is the requirement of the time. Psychology can play a major role in increasing the choice to opt an eco-friendly alternative. The present study tries to develop a green marketing strategy by understanding the influential psychological variables. The study points to the importance of personal moral obligation of the people in the choice of the eco-friendly houses. The study is limited in itself because it failed to consider any situational factors that may be influential in the intention to build an eco-friendly house.Originality/valueConsidering the immediacy and potency of global climate change and the role green architecture can play to reduce the impact of the blow, eco-friendly architecture is inevitable. Many psychological studies have been instrumental in shaping and changing individual behaviors. Considering these facts the present study aims to identify the role of psychological variables in determining the intention to build eco-friendly houses. This study will help in identifying the relevant personal variables that can promote eco-friendly construction.