A model to reduce the risk of project selection utilizing data envelopment analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaghayegh Sadeghiyan ◽  
Farhad Hosseinzadeh Lotfi ◽  
Behrouz Daneshian ◽  
Nima Azarmir Shotobani
Keyword(s):  
Design Methodology ◽  
Selection Process ◽  
Project Selection ◽  
Decision Makers ◽  
Data Envelopment ◽  
Content Type ◽  
Optimal Subset ◽  
Selected Subset ◽  
Collective Benefit ◽  
The Impact

Purpose Project selection management is a matter of challenge for project-oriented organizations, particularly, if the decision-makers are confronted with limited resources. One of the main concerns is selecting an optimal subset that can successfully satisfy the requirements of the organization providing enough resources to the best subset of the project. The projects for which there are not enough resources or those requiring whole resources of the organization will collapse soon after failed to success. Therefore, the issue is in the risk of choosing a set of projects so that can make a balance in investment versus on collective benefit. Design/methodology/approach A model is presented for project selection and has been tested on the 37 available projects. This model could increase the efficiency of the whole subset of the project significantly in comparison to the other model and it was because of choosing a diverse subset of projects. Findings Provides a general framework for project selection and a diverse and balanced subset of projects to increase the efficiency of the selected subset. Also, reduces the impact of uncertainty risk on the project selection process. Research limitations/implications For the purposes of project selection, any project whose results are uncertain is a risky project because, if the project fails, it will reduce combined project value. For example, a pharmaceutical company’s R&D project is affected by the uncertain results of a specific compound. If the company invests in different compounds, a failure with one will be offset by a good result on another. Therefore, with selecting a diverse set of projects, this paper will have a different set of risks. Originality/value This paper discusses the risk of selecting or being responsible for selecting a project under uncertainty. Most of the projects in the field of project selection generally consider the risks facing the projects or existing models that do not take into account the risk.

Factors driving indebtedness among small- and medium-sized dairy companies

2020 ◽  
Vol 123 (1) ◽  
pp. 159-175
Author(s):  
Alberto Mazzoleni ◽  
Enrica Pollonini
Keyword(s):  
Economic Crisis ◽  
Food Production ◽  
Design Methodology ◽  
Financial Structure ◽  
Decision Makers ◽  
Third Party ◽  
Production Chain ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

PurposeWe developed a model to demonstrate how multiple interrelated aspects of a firm influence its recourse to third-party financing, which frequently depends on the characteristics of each food production chain.Design/methodology/approachWe conducted an empirical research on a relevant sample of small- and medium-sized Italian dairy firms. Our research methodology is inspired by the grounded theory (Glaser and Strauss, 1967).FindingsOur findings illustrated that firm indebtedness is the result of intertwined variables, linked to different firm dimensions, including growth, financial structure and economic dynamics.Research limitations/implicationsA portion of the analysed phenomenon is not explained using the sample and econometric tools.Practical implicationsThere are practical implications for the decision-makers in a firm (in particular, the managers and the shareholders) as the model allows to evaluate the influence of a set of mutually interdependent firm variables for the indebtedness level.Originality/valueFirst, we considered the recourse to third-party financing within the context of the systems theory (Millová and Blatný, 2015) and from the perspective of linked causes and mutually connected variables. Second, our research focussed on a well-defined food chain and on features of firms operating in this context. Last, our model considered the impact of the recent economic crisis, which motivated us to review the existing models.

Exploring the future impact of automation in Brazil

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuri Lima ◽  
Julia Celia Mercedes Strauch ◽  
Maria Gilda Pimentel Esteves ◽  
Jano Moreira de Souza ◽  
Miriam Barbuda Chaves ◽  
...  
Keyword(s):  
Design Methodology ◽  
Industrial Revolution ◽  
Education Level ◽  
Decision Makers ◽  
Content Type ◽  
Fourth Industrial Revolution ◽  
Socioeconomic Analysis ◽  
Significant Difference ◽  
The Subject ◽  
The Impact

PurposeBrazil is struggling as the unemployment rate is 12.4% and nearly 13m people are unemployed. The fourth Industrial Revolution is advancing, and the country needs to consider how it will impact the labor market. This work explores the impact of automation on the Brazilian workforce to supply decision-makers with information about the subject.Design/methodology/approachThe authors converted the probability of computerization from the seminal work of Frey and Osborne to each of the more than 2,500 occupations in Brazil. They then crossed the automation probability with socioeconomic information about workers and companies available in the Brazilian Ministry of Labor Database.FindingsIn total, 60% of employment in Brazil is expected to be highly impacted by automation in the coming decades, with eight out of the ten occupations with the biggest workforce being highly automatable. Automation probability decreases as workers' education level increases, with the most significant difference between workers with higher education and those without it. The results show other inequalities in the impact of automation: the higher the wage, the lower the automation probability of occupations; the bigger the company, the lower the automation index; and workers from 16 to 24 years old have considerably higher chances of being automated.Originality/valueThis work is the first to study, in the context of the fourth Industrial Revolution, the impact of automation in Brazil with a socioeconomic analysis.

The impact of smart specialization strategies on sub-cluster efficiency: simulation exercise for the case of Mexico

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Viviana Elizabeth Zárate-Mirón ◽  
Rosina Moreno Serrano
Keyword(s):  
Design Methodology ◽  
Data Envelopment ◽  
Content Type ◽  
Smart Specialization ◽  
Cluster Efficiency ◽  
Technological Intensity ◽  
The Impact ◽  
Practical Implications ◽  
Different Levels

Purpose This paper aims to evaluate whether the integration of smart specialization strategies (S3) into clusters significantly impacts their efficiency for countries that still do not implement this policy. This study tests three effects: whether the kind of policies envisaged through an S3 strategy impacts cluster’s efficiency; whether this impact changes with the technological intensity of the clusters; to determine which S3 is more suitable for sub-clusters at different levels of technological intensity. Design/methodology/approach The Mexican economy is taken as case of study because it has a proper classification of its industries intro Porter’s cluster’s definition but still does not adopt the S3 policy. Through data envelopment analysis (DEA), this study evaluates the cluster’s efficiency increment when variables representing the S3 elements are included. Findings The results show that strategies following the S3 had a significant impact in all clusters, but when clusters were classified by technological intensity, the impact on efficiency is higher in clusters in the medium low-tech group. Practical implications According to the results in the DEA, it can be concluded that these S3 strategies have the potential to increase the clusters’ productivity significantly. These results make convenient the adoption of the S3 policy by countries that already count with a properly cluster definition. Originality/value These findings contribute to the lack of studies that analyze the join implementation of S3 on clusters.

scholarly journals The impact of social media signals on supplier selection: insights from two experiments

2020 ◽  
Vol 40 (5) ◽  
pp. 531-552
Author(s):  
Aneesh Banerjee ◽  
Jörg M. Ries ◽  
Caroline Wiertz
Keyword(s):  
Social Media ◽  
Operations Management ◽  
Supplier Selection ◽  
Design Methodology ◽  
Selection Process ◽  
Content Type ◽  
Selection Decisions ◽  
The Impact ◽  
Source Of Information ◽  
Media Volume

PurposeOnline B2B markets offer buyers a new source of information provided by social media signals about suppliers. These signals have not yet received much attention in the supplier selection literature. This study advances our understanding of how buyers respond to social media signals in the supplier selection process.Design/methodology/approachWe develop a choice-based conjoint experimental design to isolate and manipulate two signals from social media: volume (the number of ratings) and valence (average evaluation of the ratings). We test how these signals are interpreted in the context of varying deal sizes and price points.FindingsBoth volume and valence are positively correlated with supplier selection. However, (1) the signals exhibit diminishing returns and (2) the efficacy of valence is interpreted in the context of volume. We also find that (3) there is no influence of the deal size and that (4) the relationships between signals and supplier selection are negatively moderated by deviations from the reference price.Research limitations/implicationsSocial media signals should be considered in supplier selection decisions as they convey valuable information to the buyer. However, signals go through a process of interpretation which has implications for buyers, suppliers, and owners of online B2B markets.Originality/valueOur research opens new lines of inquiry in behavioural operations management research regarding the mechanisms by which buyers interpret social media signals and how these ultimately influence their choice.

scholarly journals Does directors’ experience positively moderate the impact of board busyness on firm efficiency? Evidence from Asia-Pacific

2019 ◽  
Vol 11 (3) ◽  
pp. 232-250 ◽  
Author(s):  
Khar Mang Tan ◽  
A.N. Bany-Ariffin ◽  
Fakarudin Kamarudin ◽  
Norhuda Abdul Rahim
Keyword(s):  
Design Methodology ◽  
Moderating Effect ◽  
Asia Pacific ◽  
Data Envelopment ◽  
Panel Regression ◽  
Firm Efficiency ◽  
Content Type ◽  
Laws And Policies ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to examine the impact of board busyness on firm efficiency in the context of directors’ experience, specifically on directors’ experience that moderates the impact of board busyness on firm efficiency. Directors’ experience is examined by exploring both depth (board tenure) and breadth (number of former listed directorship) of experience. Design/methodology/approach This paper employs data envelopment analysis (DEA) to examine firm efficiency. Then, fixed effect panel regression analysis is applied to test the direct and moderating effect based on a sample of firms in the selected Asia-Pacific countries. Findings Significant positive evidence for the moderating effect of directors’ experience on the impact of board busyness on firm efficiency is documented. Practical implications Findings are essential for managers, country policymakers and potential investors as inputs to improve the current company practices, laws and policies through the notion that directors’ experience does enable the busy board to contribute to improved firm efficiency. Originality/value This paper contributes to the debated perspectives on board busyness by providing initial evidence that directors’ experience positively moderates the impact of board busyness on firm efficiency.

Selecting Six Sigma project: a comparative study of DEA and LDA techniques

2018 ◽  
Vol 9 (4) ◽  
pp. 506-522 ◽  
Author(s):  
A. Hadi-Vencheh ◽  
A. Yousefi
Keyword(s):  
Six Sigma ◽  
Selection Process ◽  
Project Selection ◽  
Decision Quality ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Model ◽  
Risk Of Failure ◽  
Proposed Model

Purpose Nowadays, most of the organizations have focused through the world on Six Sigma to reduce the costs, improve the productivity and enhance concerned individuals’ satisfaction, especially customers’ satisfaction. Annually, these organizations define and execute thousands of Six Sigma projects which involve a great deal of investments. But are all of these projects successful and do the organizations benefit from the above advantages? The purpose of this study is to proposing a methodology to to answer this question that: How can we reduce the risk of failure in Six Sigma projects? The first step to reduce the risk of failure in Six Sigma projects is selecting optimal ones which have the most profits and the least expected risks. Design/methodology/approach First, the effective criteria are recognized and defined in selecting Six Sigma projects. Then, a new data envelopment analysis (DEA) model is proposed for project selection process. A real example is resolved by the presented model. Finally, the authors use linear discriminate analysis (LDA) to examine the validity of obtained results from the proposed model. Findings The results show that the proposed model is a suitable tool for selecting Six Sigma Projects. The findings demonstrate that the selected projects by suggested integrated DEA model are those confirmed by LDA. Originality/value The paper, using a real case study, provides a mathematical model to enhance decision quality in Six Sigma project selection. Applying the specific DEA model is remarkable itself, which joined to a pioneering procedure to use LDA to validity evaluation of the results.

The effects of materialism on consumer evaluation of sustainable synthetic (lab-grown) products

2020 ◽  
Vol 37 (5) ◽  
pp. 579-590
Author(s):  
Jessica Keech ◽  
Maureen Morrin ◽  
Jeffrey Steven Podoshen
Keyword(s):  
Design Methodology ◽  
Socially Responsible ◽  
Content Type ◽  
Consumer Evaluation ◽  
Positioning Strategy ◽  
Consumer Markets ◽  
The Future ◽  
Promotion Strategies ◽  
Alternative Sources ◽  
The Impact

Purpose The increasing desire of consumers for socially responsible luxury products combined with fluctuating supplies in consumer markets are leading various industries to seek alternative sources to be able to meet the needs of its customers. One possible solution that may meet the demands of the future is lab-grown products. Because these products confer multiple benefits, this study aims to investigate the most effective ways to appeal to consumers by aligning the benefits of the products with their values as marketers seek to find effective promotion for these items. Design/methodology/approach We examine the effectiveness of an ethical positioning strategy for two types of luxury lab-grown (synthetic) products among high versus low materialism consumers in three experiments. Findings Findings suggest that a positioning strategy stressing product ethicality is more effective for low materialism consumers, whereas the strategy is less effective, and may even backfire, for high materialism consumers. The impact on social status consumers perceive from a lab-grown product explains why this effect occurs among low materialism consumers. Therefore, marketers should take caution and use specific appeals for different segments based on values such as consumers’ materialism levels. Originality/value If lab-grown products represent the wave of the future, it is important to understand how consumers will respond to this emerging technology and how promotion strategies may enhance their evaluation.

Embedding employability within higher education for the profession of policing

2019 ◽  
Vol 9 (3) ◽  
pp. 319-328
Author(s):  
Ian Pepper ◽  
Ruth McGrath
Keyword(s):  
Higher Education ◽  
Design Methodology ◽  
Research Study ◽  
Longitudinal Research ◽  
Evidence Base ◽  
Content Type ◽  
Educational Provision ◽  
Professional Body ◽  
The Impact ◽  
Practical Implications

Purpose The purpose of this paper is to evaluate the impact of an employability module, the College of Policing Certificate in Knowledge of Policing (CKP), on students’ career aspirations, their confidence and wish to join the police along with the appropriateness of the module. This will inform the implementation of employability as part of the College of Policing-managed Police Education Qualifications Framework (PEQF). Design/methodology/approach A three-year longitudinal research study used mixed methods across four points in time to evaluate the impact on students studying the employability module. Findings The research suggests that the employability-focussed CKP was useful as an introduction to policing, it developed interest in the police and enhanced the confidence of learners applying to join. Lessons learnt from the CKP should be considered during the implementation of the PEQF. Research limitations/implications The ability to generalise findings across different groups is limited as other influences may impact on a learner’s confidence and employability. However, the implications for the PEQF curriculum are worthy of consideration. Practical implications As the police service moves towards standardised higher educational provision and evolution of policing as a profession, lessons can be learnt from the CKP with regards to the future employability of graduates. Originality/value Enhancing the employability evidence base, focussing on policing, the research identified aspects which may impact on graduates completing a degree mapped to the PEQF. The research is therefore of value to higher education and the professional body for policing.

Investigation on the shaft voltage generation of large synchronous turboalternators

2020 ◽  
Vol 39 (5) ◽  
pp. 1145-1156
Author(s):  
Kevin Darques ◽  
Abdelmounaïm Tounzi ◽  
Yvonnick Le-menach ◽  
Karim Beddek
Keyword(s):  
Finite Element ◽  
Design Methodology ◽  
Short Circuit ◽  
Element Model ◽  
Stator Winding ◽  
Content Type ◽  
Voltage Generation ◽  
The Impact ◽  
Investigation Process ◽  
Circulating Currents

Purpose This paper aims to go deeper on the analysis of the shaft voltage of large turbogenerators. The main interest of this study is the investigation process developed. Design/methodology/approach The analysis of the shaft voltage because of several defects is based on a two-dimensional (2D) finite element modeling. This 2D finite element model is used to determine the shaft voltage because of eccentricities or rotor short-circuit. Findings Dynamic eccentricities and rotor short circuit do not have an inherent impact on the shaft voltage. Circulating currents in the stator winding because of defects impact the shaft voltage. Originality/value The original value of this paper is the investigation process developed. This study proposes to quantify the impact of a smooth stator and then to explore the contribution of the real stator winding on the shaft voltage.

Gated communities in Ankara: are they a tool of social segregation?

2017 ◽  
Vol 10 (5) ◽  
pp. 687-702
Author(s):  
Leyla Alkan-Gökler
Keyword(s):  
Socioeconomic Status ◽  
Design Methodology ◽  
Gated Communities ◽  
Content Type ◽  
Positive View ◽  
Social Segregation ◽  
Show Evidence ◽  
Local Residents ◽  
Almost All ◽  
The Impact

Purpose Gated communities, surrounded by walls or fences, have emerged as a new trend in almost all cities in Turkey, and are homogenous in terms of the socioeconomic status of their occupants. Within these communities, several facilities and services are provided that are available only to the residents, with restrictions on access from the outside, and this has led to criticisms of social segregation. This study aims to analyze the impact of these communities on social segregation in Ankara, through two different surveys aimed at investigating the attitudes of the residents of local neighborhoods and gated communities toward each other. Design/methodology/approach This paper analyzes how the process of gating has affected social segregation in Ankara through two separate surveys: with the residents of gated communities and with the residents of local neighborhoods around these gated communities. Findings The study revealed that the residents of gated communities tended to have a positive view of the residents of local neighborhoods. In contrast, the responses of the local residents show evidence of feelings of social segregation, based on the presence of the high walls, fences and guards that are in place to keep them out of the community. Originality/value This study shows that, although segregation from the rest of the society is not the main reason for gating, the emergence of gated communities in Ankara leads inevitably to a socially and economically segregated city in which local residents feel excluded from these gated areas.

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