A Case Study: SA-AS (Stakeholder Analysis Application Software) - A New Tool for Faster and Continuous Stakeholder Analysis

2010 ◽  
Author(s):  
Arlindo Neto ◽  
A.C.M. Gerheim ◽  
Elizabeth Penhalber ◽  
Milene Navarro Almeida ◽  
Edson Motta
Keyword(s):  
Stakeholder Analysis ◽  
Application Software ◽  
Analysis Application

scholarly journals A Managerial and Behavioral Approach in Aligning Stakeholder Goals in Sustainable Last Mile Logistics: A Case Study in the Netherlands

2021 ◽  
Vol 13 (8) ◽  
pp. 4434
Author(s):  
Frazen Tolentino-Zondervan ◽  
Enide Bogers ◽  
Luc van de Sande
Keyword(s):  
Supply Chain ◽  
The Netherlands ◽  
Stakeholder Analysis ◽  
Middle Level ◽  
Behavioral Approach ◽  
Leading Role ◽  
Living Lab ◽  
Last Mile ◽  
Environmental Goals

Stakeholders play vital roles in the implementation of sustainable last mile logistics solutions. Therefore, the first step in setting up successful sustainable last mile logistics is to conduct stakeholder analysis. This paper analyzes the goals of the stakeholders in the Heijendaal living lab, a city logistics project that uses two hubs for bundling goods to be delivered to the Heijendaal campus in The Netherlands. We use the Theory of Planned Behavior and Policy Deployment to present a qualitative case study, which examines the goals of stakeholders in relation to their roles in the supply chain and in the organization, and if these goals lead to their expected participation behavior. Results show that stakeholders have economic, social, and environmental goals and that some of these goals are prominent within certain groups of stakeholders along the supply chain and within the organization. In addition, the set goals do not always lead to participation behavior of stakeholders due to identified disruptions and habits. This study identifies the importance of information sharing and collaboration within the supply chain, the leading role of middle-level managers in translating strategic to operational goals, and the stimulation of behavioral factors to increase participation of stakeholders in the living lab.

Obstacles and challenges in applying stakeholder analysis to infrastructure projects

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Wojewnik-Filipkowska ◽  
Anna Dziadkiewicz ◽  
Wioleta Dryl ◽  
Tomasz Dryl ◽  
Robert Bęben
Keyword(s):  
Life Cycle ◽  
Public Involvement ◽  
Stakeholder Analysis ◽  
Future Research ◽  
Infrastructure Projects ◽  
Cross Sectional ◽  
Content Type ◽  
Infrastructure Project ◽  
The Creation

Purpose Public involvement is essential in the creation of effective local strategies for the development of a sustainable built environment, yet there has been little research on stakeholder motivation and engagement in the creation of infrastructure-project value, in the entire life cycle of a given project, while different markets show that overlooking stakeholders can negatively affect the success of an infrastructure project. The purpose of this paper is to fill the theory-practice gap that has been discerned, and thus study how early public involvement determines the success of an infrastructure project, which is identified with its value creation (effectiveness, sustainability and utility). Design/methodology/approach This research entails a combination of methods. A case study analysis allowed observation of the role the stakeholders play and of how the relationships, perspectives, expectations and risks, along with other soft issues, continue to affect projects. The case study required comprehensive examination of project documentation and conduction of interviews. To collect data, focused group interviews and semi-structured interviews were used, supported with direct questionnaire surveys. Findings The study provides evidence that early public engagement can contribute to infrastructure-project value (effectiveness, sustainability and utility). Practically speaking, the stakeholder analysis performed allowed proposal of a general stakeholder analysis framework for infrastructure projects. It can be implemented at each investment phase of the project life cycle, since stakeholders and their motivation may develop and/or change over time, which necessitates development of proper managerial strategies. The findings highlight the opportunities and the challenges faced by stakeholder management. Research limitations/implications The limitation of this study derives from the fact that the sample size was small, which was necessary for an in-depth qualitative research and application of the case study method. The observations were made on a selected case study, within a limited period of time, thus the context of the analysis as well as the stakeholder perception was subject to possible change. The research limitations concern the provisional nature of the information obtained, the cross-sectional nature of the analysis itself, and, finally, the inability to predict all future events. Ultimately, stakeholder mapping was performed for the operational phase of the investment exclusively, while the analysis was limited to identification and classification of the stakeholders, including their relationship with the project. Practical implications The research conclusions provide useful input for future research on development of effective strategies for management of the shareholders that are related to a given infrastructure project, in order to achieve project success. Simultaneously, from a property perspective, the research has contributed to a better understanding of the importance of infrastructure, on the part of real estate stakeholders. Social implications Application of the approach proposed in the study may contribute to early development and implementation of appropriate trust-building processes. The building of relationships between stakeholders enables checks and balances, promotes short- and long-term project benefits, and increases the value of a project. Originality/value The novelty of the research consists in the connection, as part of infrastructure projects, of the theory of consumption values and the concept of an investment cycle with the framework of stakeholder analysis.

A Literature Review on Automation Testing Using Selenium+Sikuli

2019 ◽  
Vol 11 (2) ◽  
pp. 35-40
Author(s):  
Ashish Lathwal
Keyword(s):  
Test Cases ◽  
Application Software ◽  
Software Application ◽  
Test Script ◽  
Efficiency And Effectiveness ◽  
Hybrid Test ◽  
Automated Process ◽  
Automation Tools ◽  
Automation Testing

Automation testing is a methodology that uses an application to implement the entire life cycle of the software in less time and provides efficiency and effectiveness to the testing software. In automation testing, the tester writes scripts and uses any suitable application software to test the software application. Automation is basically an automated process that is comprised of lots of manual activities. In other words, automation testing uses automation tools like Selenium, Sikuli, Appium, etc., to write test script and execute test cases, with no or minimal manual involvement required while executing an automated test suite. Usually, automation testers write test scripts and test cases using any of the automation tool and then groups test several cases. Here, we will discuss a neat case study explaining the automation testing using a hybrid test script.

scholarly journals As-Built 3D Heritage City Modelling to Support Numerical Structural Analysis: Application to the Assessment of an Archaeological Remain

2019 ◽  
Vol 11 (11) ◽  
pp. 1276 ◽  
Author(s):  
Daniel Antón ◽  
Paloma Pineda ◽  
Benachir Medjdoub ◽  
Alfredo Iranzo
Keyword(s):  
Structural Damage ◽  
Laser Scanning ◽  
Conservation Status ◽  
Geometric Analysis ◽  
Structural Safety ◽  
Cloud Data ◽  
Analysis Application ◽  
Status Analysis ◽  
3D Meshing

Terrestrial laser scanning is a widely used technology to digitise archaeological, architectural and cultural heritage. This allows for modelling the assets’ real condition in comparison with traditional data acquisition methods. This paper, based on the case study of the basilica in the Baelo Claudia archaeological ensemble (Tarifa, Spain), justifies the need of accurate heritage modelling against excessively simplified approaches in order to support structural safety analysis. To do this, after validating the 3D meshing process from point cloud data, the semi-automatic digital reconstitution of the basilica columns is performed. Next, a geometric analysis is conducted to calculate the structural alterations of the columns. In order to determine the structural performance, focusing both on the accuracy and suitability of the geometric models, static and modal analyses are carried out by means of the finite element method (FEM) on three different models for the most unfavourable column in terms of structural damage: (1) as-built (2) simplified and (3) ideal model without deformations. Finally, the outcomes show that the as-built modelling enhances the conservation status analysis of the 3D heritage city (in terms of realistic compliance factor values), although further automation still needs to be implemented in the modelling process.

Translation of large data bases for microcomputer-based application software: methodology and a case study

1989 ◽  
Vol 2 (3) ◽  
pp. 40-45 ◽  
Author(s):  
H.A. Smolleck ◽  
S.J. Ranade ◽  
B.E. Kindel ◽  
D. Malone ◽  
L.R. Kirk
Keyword(s):  
Large Data ◽  
Application Software ◽  
Data Bases ◽  
Software Methodology

scholarly journals Web-based Application for Classification Using Naïve Bayes and K-means Clustering (Case Study: Tic-tac-toe Game)

2020 ◽  
Vol 5 (1) ◽  
pp. 8
Author(s):  
Indriyani Indriyani ◽  
M. Ihsan Alfani Putera
Keyword(s):  
Naive Bayes ◽  
Naïve Bayes ◽  
Quality Data ◽  
Clustering Methods ◽  
Web Based ◽  
Numerical Attributes ◽  
Analysis Application ◽  
Categorical Attributes ◽  
Data Generalization

A database can consist of numerical and non-numerical attributes. However, several data processing algorithms, such as K-means clustering, can be used only in a dataset with numerical attributes. Data generalization by using Naïve Bayes and K-means clustering methods is usually employed WEKA (Waikato environment for knowledge analysis) application. Although the strength of WEKA lies in increasingly complete and sophisticated algorithms, the success of data mining still lies in the knowledge factor of the human implementer. The task of collecting high-quality data and knowledge of modeling and the use of appropriate algorithms is needed to guarantee the accuracy of the expected formulations. In this paper, we propose a simple web-based application that can be used like WEKA. The methodology used in this study includes several stages. The first stage is the preparation of data, which is the tic-tac-toe game dataset that is converted to CSV (comma-separated values) format. The next stage is the process of modifying data from non-numeric to numeric, specifically for clustering with the K-means algorithm. Afterward, the calculation of the distance between data is conducted and followed by data clustering. The final stage is the summary of these processes and results. From the experimental results, it was found that clustering can be done on categorical attributes that are transformed first into the numerical form using web-based applications.

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