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Article
Publication date: 22 February 2021

Maria Bruna Zolin, Danilo Cavapozzi and Martina Mazzarolo

Milk is one of the most produced, consumed and protected agricultural commodities worldwide. The purpose of this paper is to assess how trade-opening policies can foster…

Abstract

Purpose

Milk is one of the most produced, consumed and protected agricultural commodities worldwide. The purpose of this paper is to assess how trade-opening policies can foster food security in the Chinese milk sector.

Design/methodology/approach

The empirical evidence proposed in our paper is based on time series data from the National Bureau of Statistics of China (2019) and FAOSTAT (2020). Differences in income elasticity between urban and rural areas are estimated by OLS regressions. The data also provide empirical evidence to assess to what extent and to which countries China is resorting to meet its growing demand.

Findings

Per-capita milk consumption of Chinese is rising. The authors’ estimates show that milk income elasticity is higher in rural areas. China is also progressively increasing its dependence on imports. Producers who benefit the most are those from countries implementing trade-opening policies.

Research limitations/implications

Other methods could be applied, by way of example, the gravitational model.

Practical implications

Trade agreements and the removal of barriers could be effective responses to protectionist pressures and to food security concerns.

Social implications

The case examined is of particular interest as it intervenes on food security and safety.

Originality/value

The paper adds value and evidence to the effects of trade on food security in a country with limited and exploited natural resources addressing a health emergency and environmental concerns.

Details

British Food Journal, vol. 123 no. 13
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 6 November 2018

Dawei Lu, Sobhan Asian, Gurdal Ertek and Mete Sevinc

A perception gap refers to the differences in perception among the stakeholders regarding any aspect of the supply chain relationship. The purpose of this paper is to…

Abstract

Purpose

A perception gap refers to the differences in perception among the stakeholders regarding any aspect of the supply chain relationship. The purpose of this paper is to investigate the perception gap among service supply chain partners relating to the relative importance of key performance indicators (KPIs) and the association of this gap with service performance.

Design/methodology/approach

This paper presents an integrative framework that combines statistical methods and data envelopment analysis for computing perception and performance gaps, and for identifying the association between the gaps. The study follows a middle-range theorizing research approach where general inferences are induced from instances, and a theory can be developed from the observation of empirical reality.

Findings

Analysis of data from a leading global insurance service supply chain suggests that perception gap exists and can be recognised as a factor associated with performance gaps. The results suggest that the perception gap not only affects performance but can also be tracked as a meta-KPI to improve performance throughout the service supply chain.

Practical implications

The key implication of the presented research is that service companies can identify and resolve the differences in perceptions regarding the importance of the KPIs, by methodologically computing the gaps and tracking them as meta-KPIs.

Originality/value

The study extends the theoretical boundary of supply chain performance management by introducing the perception and performance gaps as novel meta-KPIs. These meta-KPIs can be computed through the integrative framework developed in the study.

Details

International Journal of Physical Distribution & Logistics Management, vol. 49 no. 1
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 6 February 2017

Bruna Teodoro Barbosa, Jéssica Ferreira Rodrigues and Sabrina Carvalho Bastos

People are increasingly concerned about food and health and are seeking enriched products. One way to add nutritional value to yogurt consists of the addition of…

Abstract

Purpose

People are increasingly concerned about food and health and are seeking enriched products. One way to add nutritional value to yogurt consists of the addition of nutritional flour. However, it is necessary to optimize formulations that meet the consumers’ expectations. Thus, the purpose of this paper is to aim at sensory optimization of a strawberry yogurt enriched with different flours.

Design/methodology/approach

The optimal concentrations of each flour were defined using the Just-about-right-scale test. Then, an acceptance test was used to assess the samples at optimal concentrations.

Findings

It was observed that the strawberry yogurt should include 1.275 percent golden flaxseed flour, 1.093 percent green banana flour, 1.075 percent eggplant flour and 3.420 percent oatmeal flour. All formulations had good acceptability and the yogurt added with the addition of golden flax flour and the traditional product received similar sensory acceptance. Thus, it is possible to add nutritional value to strawberry yogurt by maintaining its sensory quality.

Research limitations/implications

More detailed studies on the shelf-life of yogurt are necessary to enable the incorporation of flours into yogurt as heat, light and oxygen can reduce the beneficial effects of flours. Therefore, researchers should test the proposed propositions further.

Practical implications

Optimization of an enriched yogurt is a good alternative to provide a product that meets consumers’ expectations, besides adding value to the product. However, there are technological challenges when adding functional components in foods. Thus, this study aimed at sensory optimization of a strawberry yogurt enriched with different flours.

Social implications

The authors aimed to provide a healthy product to the market as well as contribute toward product variety in the market.

Originality/value

There are few studies in respect to the sensory aspects of enriched yogurts. Therefore, this work will aid future studies, supporting the optimization of functional products and contributing toward product variety in the market.

Details

British Food Journal, vol. 119 no. 2
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 13 March 2020

Bruna de Castro Mendes and Airton Jose Cavenaghi

This paper aims to highlight the political influences that account for the destination image of a tourist city: Campos do Jordão, São Paulo State, Brazil. The study took…

Abstract

Purpose

This paper aims to highlight the political influences that account for the destination image of a tourist city: Campos do Jordão, São Paulo State, Brazil. The study took into consideration the collective imagination and its influence on the formation of touristic destinations.

Design/methodology/approach

Descriptive study based on literature and document review, accompanied by an analysis of texts and photos available on non-official websites – about Campos do Jordão – from November to December 2018 and by visits to selected location.

Findings

“Charm”, “refinement” and “sophistication” are the most frequently used words to describe Campos do Jordão, which remains a symbol of exclusiveness and refuge for the highest social classes. These images are shaped by political and economic influences.

Research limitations/implications

The investigation focussed on a single city. Also, as it is an analytical study aimed at showing the permanence of preconceived values used to build the image of a destination it is not possible to talk about extrapolating the present study to other cities. In addition, the research was done by using the reproduction of physical and cultural aspects in addition to the use of European landscapes structures and values in a locality with an exceptional environmental context.

Social implications

Many of the images connected to Campos do Jordão are replicated by local citizens, a fact that evidences the importance of associative memory, which concerns memories citizens have of their living space. The social implications presented herein seek to recover the formative memories of the assessed city, although it is not the focus of the current study. Assumingly, becoming an active segment of the tourism sector is the only way for local citizens to appropriate the city.

Originality/value

The influence of local government and public actions in tourism construction and in the image linked to the city is used as a case study. Building a touristic imagination demands a wide range of businesses, but this process takes time and effort, as highlighted by the applied documental review; it would not happen without the straight interference of the public sector through the local government.

Details

International Journal of Tourism Cities, vol. 6 no. 4
Type: Research Article
ISSN: 2056-5607

Keywords

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Article
Publication date: 10 October 2016

Damiano Fiorillo

The purpose of this paper is to investigate whether social relations are associated with the health of workers. It uses two types of health status measures – self-reported…

Abstract

Purpose

The purpose of this paper is to investigate whether social relations are associated with the health of workers. It uses two types of health status measures – self-reported and more objective health – and it considers two types of social relationships: individual social relations, measured through the frequency of meetings with friends; and contextual social relations, the average frequency with which people meet friends at the community level.

Design/methodology/approach

A probit model is estimated from the worker sample accounting for the possibility of selecting individuals in the labour market (selection equation). Then expanded probit models (including inverse Mills ratio) are used on both self-reported and more objective health measures using new data from an income and living conditions survey carried out in 2006 by the Italian Statistics Office. Robustness checks are employed to deal with possible problems when interpreting the results.

Findings

The study finds that social relations are correlated with health status of workers with differences among health outcomes. Social relations at the individual level are positively correlated with self-perceived health (SPH), negatively associated with chronic condition (CC) but not related to limitations in daily activities. Contextual social relations are negatively linked with CC and limitations in daily activities but not correlated with SPH.

Research limitations/implications

Although the results are consistent with the argument that individual and contextual social relations influence workers’ health, the author cannot prove causality.

Social implications

Improving the health of workers could reduce health inequalities and could increase work performance. The implication at a macro-economic level of an improvement in the health conditions of workers is relevant in Italy, where the level of labour productivity is low compared to the other developed countries (OECD, 2013). Policy makers should consider the benefits, both at social and economic level, of public policies designed to improve the social and physical infrastructure of social relations.

Originality/value

This paper is the first to relate individual and contextual social relations simultaneously to workers’ health. Moreover, it makes several other contributions to this area: it control for unobserved worker heterogeneity; it uses both subjective self-reported health as well as a more objective measure of health based on CC and limitations in activities of daily living; it adopts a multilevel approach to examine in the same framework the individual and contextual relationship of social relations with individual health status of workers, in so doing, filling a gap in the literature on social capital and public health.

Details

Journal of Economic Studies, vol. 43 no. 5
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 4 February 2020

Jin Wang, Yi Wang and Jing Shi

Selective laser melting (SLM) is a major additive manufacturing (AM) process in which laser beams are used as the heat source to melt and deposit metals in a layerwise…

Abstract

Purpose

Selective laser melting (SLM) is a major additive manufacturing (AM) process in which laser beams are used as the heat source to melt and deposit metals in a layerwise fashion to enable the construction of components of arbitrary complexity. The purpose of this paper is to develop a framework for accurate and fast prediction of the temperature distribution during the SLM process.

Design/methodology/approach

A fast computation tool is proposed for thermal analysis of the SLM process. It is based on the finite volume method (FVM) and the quiet element method to allow the development of customized functionalities at the source level. The results obtained from the proposed FVM approach are compared against those obtained from the finite element method (FEM) using a well-established commercial software, in terms of accuracy and efficiency.

Findings

The results show that for simulating the SLM deposition of a cubic block with 81,000, 189,000 and 297,000 cells, the computation takes about 767, 3,041 and 7,054 min, respectively, with the FEM approach; while 174, 679 and 1,630 min with the FVM code. This represents a speedup of around 4.4x. Meanwhile, the average temperature difference between the two is below 6%, indicating good agreement between them.

Originality/value

The thermal field for the multi-track and multi-layer SLM process is for the first time computed by the FVM approach. This pioneering work on comparing FVM and FEM for SLM applications implies that a fast and simple computing tool for thermal analysis of the SLM process is within the reach, and it delivers comparable accuracy with significantly higher computational efficiency. The research results lay the foundation for a potentially cost-effective tool for investigating the fundamental microstructure evolution, and also optimizing the process parameters in the SLM process.

Details

Engineering Computations, vol. 37 no. 6
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 15 December 2020

Fereshteh Mahmoudian, Jamal A. Nazari and Irene M. Herremans

Drawing on the natural resource-based view and the literature on management control systems as a package, this study aims to investigate organizations’ sustainability…

Abstract

Purpose

Drawing on the natural resource-based view and the literature on management control systems as a package, this study aims to investigate organizations’ sustainability control systems designed to achieve the interrelated sustainability objectives of performance and reporting.

Design/methodology/approach

The authors use three-stage least squares regressions on archival data for a large sample of international companies.

Findings

Better environmental performance and sustainability reporting quality are related to certain control system components, and the dual objectives of sustainability performance and reporting are interrelated.

Originality/value

This study provides theoretical contributions and practical implications by demonstrating how a set of sustainability control components can enable better sustainability reporting and performance outcomes.

Details

Corporate Governance: The International Journal of Business in Society, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-0701

Keywords

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Article
Publication date: 8 June 2021

Boby John

The purpose of this paper is to develop a control chart pattern recognition methodology for monitoring the weekly customer complaints of outsourced information…

Abstract

Purpose

The purpose of this paper is to develop a control chart pattern recognition methodology for monitoring the weekly customer complaints of outsourced information technology-enabled service (ITeS) processes.

Design/methodology/approach

A two-step methodology is used to classify the processes as having natural or unnatural variation based on past 20 weeks' customer complaints. The step one is to simulate data on various control chart patterns namely natural variation, upward shift, upward trend, etc. Then a deep learning neural network model consisting of two dense layers is developed to classify the patterns as of natural or unnatural variation.

Findings

The validation of the methodology on telecom vertical processes has correctly detected unnatural variations in two terminated processes. The implementation of the methodology on banking and financial vertical processes has detected unnatural variation in one of the processes. This helped the company management to take remedial actions, renegotiate the deal and get it renewed for another period.

Practical implications

This study provides valuable information on controlling information technology-enabled processes using pattern recognition methodology. The methodology gives a lot of flexibility to managers to monitor multiple processes collectively and avoids the manual plotting and interpretation of control charts.

Originality/value

The application of control chart pattern recognition methodology for monitoring service industry processes are rare. This is an application of the methodology for controlling information technology-enabled processes. This study also demonstrates the usefulness of deep learning techniques for process control.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

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Article
Publication date: 17 May 2021

Beda Barkokebas, Salam Khalife, Mohamed Al-Hussein and Farook Hamzeh

The research introduces means for improving premanufacturing processes (design, procurement and bidding) by leveraging digitalisation in offsite construction…

Abstract

Purpose

The research introduces means for improving premanufacturing processes (design, procurement and bidding) by leveraging digitalisation in offsite construction. Specifically, this paper proposes a framework that provides measures for the planning and implementation of digitalisation in offsite construction by positioning building information modelling (BIM) as the key technology and lean principles to add value and reduce waste.

Design/methodology/approach

The paper follows the design science research approach to develop the proposed framework and attain the aforementioned objective. The developed framework includes data collection, value-stream mapping and simulation to assess current processes, develop and propose improvements. An empirical implementation is employed to demonstrate the applicability of both the framework and the measures used to evaluate the outcomes.

Findings

The application of the proposed three-stage framework resulted in 9.45%–23.33%-time reduction per year for the various improvement categories in premanufacturing phases. Employing simulation and applying the developed measures provide incentive for upper management to adopt the suggested improvements. Additionally, while the empirical implementation was tested on a modular construction company, the methods used indicate that the framework, with its generic guidelines, could be applied and customized to any offsite company.

Originality/value

While several studies propose that BIM-Lean integration offers an advantage in the context of production systems, this paper focuses on the initial design and planning phases, which are mostly overlooked in the literature. Moreover, the present study provides quantitative evidence of the benefits of data integration through BIM technology.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 1 October 2018

Martin Tanco, Matias Escuder, Gerardo Heckmann, Daniel Jurburg and Josue Velazquez

For the past 20 years, Latin American countries have gone from being a low-cost region to significant players in the world economy, with five of its countries ranked among…

Abstract

Purpose

For the past 20 years, Latin American countries have gone from being a low-cost region to significant players in the world economy, with five of its countries ranked among the world’s 50th largest by gross domestic product. This paper aims to study the contribution of Latin American researchers in the field of supply chain management (SCM) to aid an understanding of the Latin American impact within global supply chains (SCs).

Design/methodology/approach

The authors present a study which includes a bibliometric analysis of the papers authored by Latin American researchers in the SCM field and which were exclusively published in journals included in the Journal Citation Reports. In addition, the authors conducted a survey to Latin American researchers and consultants to gain greater understanding of the main difficulties, which in their opinion, have negatively affected the SCM area in Latin America within the past five years, and identify possible misalignment between Latin American research and the challenges for SC in the region.

Findings

The results show that Latin American research on SCM in the past nine years is not significant for the field considering the number of papers, citations and the papers published in top journals. Another interesting finding is the lack of collaboration among researchers from different Latin American countries, as well as with corporate. Finally, survey results reveal significant differences regarding the main difficulties each country perceived as relevant.

Practical implications

Comparing results from both analyses, relevant misalignments stand out between published research and the main difficulties detected. These suggest a challenging opportunity for Latin America, emphasizing the need to increase research contribution of the scientific community, through collaboration and alignment toward overcoming the most troublesome difficulties for Latin America. Therefore, the authors suggest future regional research directions which could also help global companies to tackle the challenges faced and optimize performance of their Latin American SCs.

Originality/value

To the best of the authors’ knowledge, no previous research on the quality and impact of Latin American research in SCM has been conducted. Also, misalignments between researchers and practitioners in the region, which allow identifying weaknesses of Latin American SCs, have not been studied before.

Details

Supply Chain Management: An International Journal, vol. 23 no. 5
Type: Research Article
ISSN: 1359-8546

Keywords

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