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Article
Publication date: 20 August 2020

Ricardo Zimmermann, Luis Miguel D.F. Ferreira, Antonio Carrizo Moreira, Ana Cristina Barros and Henrique Luiz Correa

This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in…

635

Abstract

Purpose

This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.

Design/methodology/approach

The study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high–high and low–low fits) and misfit (positive and negative) are compared and discussed.

Findings

The results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance.

Originality/value

An analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

Details

The International Journal of Logistics Management, vol. 32 no. 1
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 29 January 2020

Ricardo Zimmermann, Luís Miguel D.F. Ferreira and Antonio Carrizo Moreira

This paper aims to investigate supply chain (SC) strategies, analyzing the adoption of lean, agile, leagile and traditional SC strategies with respect to product characteristics…

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Abstract

Purpose

This paper aims to investigate supply chain (SC) strategies, analyzing the adoption of lean, agile, leagile and traditional SC strategies with respect to product characteristics, environmental uncertainty, business performance and innovation performance.

Design/methodology/approach

The paper presents an empirical analysis carried out on a sample of 329 companies. Cluster analysis was applied, based on lean and agile SC characteristics, to identify patterns among different SC strategies. One-way analysis of variance of different constructs by types of SC clusters was conducted to test the research hypotheses.

Findings

Cluster analysis indicates that the companies studied adopt four types of SC strategies – lean, agile, leagile and traditional. The differences between the clusters are identified and discussed, highlighting that companies adopting a leagile SC strategy present the highest performance, while those that adopt a traditional SC present the lowest; companies adopting an agile SC compete in the most complex and dynamic environments, while companies with a lean SC present a clear predominance of functional rather than innovative products.

Research limitations/implications

This paper provides empirical evidence of the antecedents and consequences of the adoption of different SC strategies. As a limitation, the results are based on a survey research with a limited sample size.

Originality/value

Based on the analysis of the relationship between constructs that have not been addressed previously, the paper adds to the knowledge regarding the role of SC strategies, as well as the antecedents and consequences of their adoption. The results may support managers in the difficult task of choosing the “right” SC strategy.

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Article
Publication date: 9 May 2016

Ricardo Zimmermann, Luís Miguel D.F. Ferreira and Antonio Carrizo Moreira

The importance of innovation as a generator of competitive advantage and the collaborative nature of this process are recurring themes in the literature. This paper aims to…

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Abstract

Purpose

The importance of innovation as a generator of competitive advantage and the collaborative nature of this process are recurring themes in the literature. This paper aims to contribute to the improvement of knowledge about the relationship between supply chains and the innovation process by means of a systematic literature review.

Methodology/approach

The method used consists of the identification, selection, analysis and synthesis of existing research on the subject and aims to ensure that the review is transparent, auditable and replicable. This paper presents the analysis of 94 papers from 37 journals and the major contributions are explored.

Findings

The identification and analysis of relevant articles showed the complexity, timeliness and the wide-ranging character of the theme. The analysis of articles allowed the identification of facilitators of the innovation process, as well as five approaches applicable to supply chains to drive the innovation process. From these analyses, a model synthesising the main practices identified for improving innovation performance is presented.

Research limitations/implications

When carrying out literature reviews, the selection of articles might be considered subjective. To circumvent this limitation, the papers have been assessed by three researchers.

Practical implications

The results presented can be applied in the decision-making process by managers in the areas of innovation and supply chain.

Originality/value

This paper synthesises knowledge involving the relationships between supply chains and the innovation process. The analysis is based on quantitative and qualitative criteria.

Details

Supply Chain Management: An International Journal, vol. 21 no. 3
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 10 April 2019

Rikard Sundling, Stefan Olander, Petter Wallentén, Stephen Burke, Ricardo Bernardo and Åke Blomsterberg

The purpose of this paper is to identify appropriate concepts of multi-active façades for the renovation of multifamily buildings in Sweden and to determine which, if any, are…

270

Abstract

Purpose

The purpose of this paper is to identify appropriate concepts of multi-active façades for the renovation of multifamily buildings in Sweden and to determine which, if any, are financially viable.

Design/methodology/approach

A lifecycle profit (LCP) analysis was used to examine financial viability through a ten-step process, which included identifying concepts, assessing costs and prices, calculating the LCP and performing sensitivity analysis. Two existing buildings – one low rise and the other high rise – were used as reference models.

Findings

The findings were contradictory. Implementing any of the multi-active façade concepts on the high-rise building would be financially beneficial. The opposite was, however, the case for the low-rise building. Two factors causing this contradiction have been identified: the façade material before renovation and the size of the building.

Research limitations/implications

The study is limited to two case buildings situated in Sweden; however, similar buildings represent a significant amount of the existing building stock. Part of the purpose of the study is also to investigate the merits of LCP analysis to evaluate energy-efficient retrofitting. The study implicates the benefits and pitfalls of LCP analysis needed to be considered by researchers and practitioners alike.

Originality/value

The research findings contribute to the understanding of energy-efficient retrofitting of existing multifamily buildings based on prefabricated multi-active façade concepts.

Details

International Journal of Building Pathology and Adaptation, vol. 37 no. 5
Type: Research Article
ISSN: 2398-4708

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Article
Publication date: 1 August 1999

Moore McDowell and Rodney Thom

This paper looks at some aspects of trade and investment relations between the EU and the countries of central and eastern Europe (CEEC). The approach used is based on a model of…

1159

Abstract

This paper looks at some aspects of trade and investment relations between the EU and the countries of central and eastern Europe (CEEC). The approach used is based on a model of trade with, and development of, a frontier by a metropolitan economy developed by Ronald Findlay. Findlay’s model posits the existence of a monopolised supply of an input to the metropolitan economy. Development of the frontier enables the metropolitan economy to break the monopoly. The expansion of outward processing trade between the EU and the CEEC, a form of intra‐industry trade, is a notable feature of economic relations in Europe since the fall of the Soviet empire. This is modelled in the paper as a device whereby a supply side constraint (labour market restrictions) within the EU is relaxed by vertical disintegration of production and relocation outside the EU. This in turn has implications for the incorporation of the CEEC in the EU. While they remain outside the EU they provide regime competition, particularly in the area of labour market policy. The income distribution implications of this competition provides a political basis for moves to extend membership of the EU on the basis of the CEEC’s adopting the acquis communautaire.

Details

Journal of Economic Studies, vol. 26 no. 4/5
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 20 February 2020

Ricardo Felicio Souza, Peter Wanke and Henrique Correa

This study aims to analyze the performance of four different fuzzy inference system-based forecasting tools using a real case company.

637

Abstract

Purpose

This study aims to analyze the performance of four different fuzzy inference system-based forecasting tools using a real case company.

Design/methodology/approach

The forecasting tools were tested using 27 products of the nail polish line of a multinational beauty company and the performance of said tools was compared to those of the company’s previous forecasting methods that were basically qualitative (informal and intuition-based).

Findings

The performance of the methods analyzed was compared by using mean absolute percentage error. It was possible to determine the characteristics and conditions that make each model the best for each situation. The main takeaways were that low kurtosis, negatively skewed demand time-series and longer horizon forecasts that favor the fuzzy inference system-based models. Besides, the results suggest that the fuzzy forecasting tools should be preferred for longer horizon forecasts over informal qualitative methods.

Originality/value

Notwithstanding the proposed hybrid modeling approach based on fuzzy inference systems, our research offers a relevant contribution to theory and practice by shedding light on the segmentation and selection of forecasting models, both in terms of time-series characteristics and forecasting horizon. The proposed fuzzy inference systems showed to be particularly useful not only when time-series distributions present no clear central tendency (that is, they are platykurtic or dispersed around a large plateau around the median, which is the characteristic of negative kurtosis), but also when mode values are greater than median values, which in turn are greater than mean values. This large tail to the left (negative skewness) is typical of successful products whose sales are ramping up in early stages of their life cycle. For these, fuzzy inference systems may help managers screen out forecast bias and, therefore, lower forecast errors. This behavior also occurs when managers deal with forecasts of longer horizons. The results suggest that further research on fuzzy inference systems hybrid approaches for forecasting should emphasize short-term forecasting by trying to better capture the “tribal” managerial knowledge instead of focusing on less dispersed and slower moving products, where the purely qualitative forecasting methods used by managers tend to perform better in terms of their accuracy.

Details

Journal of Modelling in Management, vol. 15 no. 4
Type: Research Article
ISSN: 1746-5664

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Book part
Publication date: 20 January 2020

Gavin Brown and Richard Whittle

Abstract

Details

Algorithms, Blockchain & Cryptocurrency: Implications for the Future of the Workplace
Type: Book
ISBN: 978-1-83867-495-3

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Book part
Publication date: 12 April 2007

Abstract

Details

Threats from Car Traffic to the Quality of Urban Life
Type: Book
ISBN: 978-0-08-048144-9

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Article
Publication date: 20 October 2021

Sajid Ali, Zulkornain Yusop, Shivee Ranjanee Kaliappan, Lee Chin and Muhammad Saeed Meo

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of…

1068

Abstract

Purpose

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of Islamic Cooperation (OIC) countries.

Design/methodology/approach

Traditional panel data methodologies neglect the issue of cross-sectional dependence and provide ambiguous outcomes. A novel approach, “dynamic common correlated effects (DCCE)”, is utilized in this study to tackle with aforementioned issue. Pooled mean group (PMG) estimation is also applied to verify the robustness of the findings.

Findings

The long-run estimates show that trade openness has a significant and negative relationship with the unemployment rate in overall and lower-income OIC economies and a positive correlation with unemployment in higher-income OIC countries. Public expenditure is negatively and significantly correlated with unemployment in higher-income and overall OIC economies. Moreover, human capital reduces unemployment in higher-income and overall OIC countries while increases unemployment in lower-income OIC economies.

Practical implications

The research tends to endorse the argument for continuous trade openness policy along with efficient use of public expenditure and improved institutional performance to reduce unemployment in OIC countries.

Originality/value

The DCCE approach in this research considers heterogeneity and cross-sectional dependence between cross-sectional units and thus gives robust outcomes.

Details

International Journal of Manpower, vol. 43 no. 5
Type: Research Article
ISSN: 0143-7720

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Article
Publication date: 4 August 2022

Ni Qiuping, Tang Yuanxiang, Said Broumi and Vakkas Uluçay

This research attempts to present a solid transportation problem (STP) mechanism in uncertain and indeterminate contexts, allowing decision makers to select their acceptance…

390

Abstract

Purpose

This research attempts to present a solid transportation problem (STP) mechanism in uncertain and indeterminate contexts, allowing decision makers to select their acceptance, indeterminacy and untruth levels.

Design/methodology/approach

Due to the lack of reliable information, changeable economic circumstances, uncontrolled factors and especially variable conditions of available resources to adapt to the real situations, the authors are faced with a kind of uncertainty and indeterminacy in constraints and the nature of the parameters of STP. Therefore, an approach based on neutrosophic logic is offered to make it more applicable to real-world circumstances. In this study, the triangular neutrosophic numbers (TNNs) have been utilized to represent demand, transportation capacity, accessibility and cost. Then, the neutrosophic STP was converted into an interval programming problem with the help of the variation degree concept. Then, two simple linear programming models were extracted to obtain the lower and upper bounds of the optimal solution.

Findings

The results reveal that the new model is not complicated but more flexible and more relevant to real-world issues. In addition, it is evident that the suggested algorithm is effective and allows decision makers to specify their acceptance, indeterminacy and falsehood thresholds.

Originality/value

Under the transportation literature, there are several solutions for TP and STP in crisp, fuzzy set (FS) and intuitionistic fuzzy set (IFS) conditions. However, the STP has never been explored in connection with neutrosophic sets to the best of the authors’ knowledge. So, this work tries to fill this gap by coming up with a new way to solve this model using NSs.

Details

Management Decision, vol. 61 no. 2
Type: Research Article
ISSN: 0025-1747

Keywords

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