Traditional Project Research Articles

Environmental conflict and the expansion of renewable energy in Central America: exploring Canadian participation

ABSTRACT As capacity to generate and distribute renewable energy expands across Central America, environmental conflict is on the rise, with communities confronting dispossession of water and territory. Renewable energy holds a central position within the extractivist economic model in the region, but little is known about the involvement of Canada in Central American renewable energy sectors. This paper addresses that gap by asking what role Canada plays within a scenario of expanding and conflictual renewable energy projects across Central America. We combine Canadian public records with data from projects, including GeoComunes and the Environmental Justice Atlas, to analyze 726 renewable energy and 162 traditional extractive projects in Central America, and to connect 156 of these projects to evidence of conflict with surrounding communities. While Canadian private companies own very few renewable energy projects in Central America, we argue that this does not imply an absence of Canadian involvement. Instead, the paper explores Canadian participation at multilateral venues, support for energy projects by the federal government, and the benefits that renewable energy expansion presents to the Canadian private sector. The invisibility of the Canadian presence in Central American renewable energy, we suggest, serves to obscure Canadian responsibility for a scenario defined by high levels of conflict.

Adapting P2M Framework for Innovation Program Management Through a Lean-Agile Approach

The commonly adopted project management approach is the stage-gate model, which is not always the convenient approach to innovation projects. The paper objective is to present a qualitative analysis of existing project management approaches and to propose a new hybrid model for effective management of innovation programs based on traditional project management approaches, agile methods to involve the customer, and then lean approach to eliminate waste. The results were illustrated by a new model based on the Japanese P2M (program and project management for enterprise innovation) guide, then combine it with Agile Industrial Scrum method and the agile 3S (scheme, system, and service) model of P2M, and finally with some lean tools and techniques oriented towards the innovation and project management context. Finally, an application case was illustrated where the researchers present the planning of the application of the proposed model on an innovation program in medical waste management field.

Design and Implementation of Project Schedule Management Data Collection and Analysis System

With the development of the information age, the application scope of big data technology is becoming more and more extensive. The rapid development of big data technology provides strong support for the collection and storage of massive data. Mining potential value through data analysis and providing scientific support for decision makers. This paper combines data collection and analysis with project schedule management. First, it introduces the data collection and analysis technology in general, then explains the disadvantages of traditional project schedule management, analyzes the advantages of modern project schedule management, and finally proposes project schedule management data collection and analysis. The design idea of the system is applied to the project management practice of a material acceptance point in a government office, in order to provide a useful reference for the application of data collection and analysis technology in project schedule management.

Open badges support goal setting and self-efficacy but not self-regulation in a hybrid learning environment

Through a quasi-experimental study, we found that preservice teachers who learned with open badges set higher goals and indicated greater self-efficacy than those who learned with traditional projects in hybrid learning environments. However, we also found no significant difference in learners’ self-regulation between the groups. This study adopted a control and experimental group research design to investigate the effect of using instructional open badges on three critical aspects of learner motivation in a hybrid undergraduate introduction to educational technology course: (a) goal setting, (b) perceived self-efficacy, and (c) self-regulation. While our study contributes to our understanding of the relationship between using open badges in education and critical aspects of learner motivation in hybrid learning environments, questions remain about how to use this emerging strategy to promote greater self-regulation.

Hybrid Project Management between Traditional Software Development Lifecycle and Agile Based Product Development for Future Sustainability

The purpose of this review is to look at the future sustainability of project management by combining agile methodology and product management. Digital transformation is evolving rapidly, and the question is whether traditional project management is sustainable. To ensure sustainability, a hybrid approach is taken by combining agile methodology to ensure the latest trend in software development approaches are maintained. Agile methodologies were crafted in 2000, but it has only been widely used since 2011 for software development. This paper will focus on the types of agile requirements engineering methods used in the agile framework, used and described in various articles, journals, and studies over the last six years, and how this can be applied together with traditional project management.

Quantifying the impact of Russia–Ukraine crisis on food security and trade pattern: evidence from a structural general equilibrium trade model

PurposeConsidering the importance of Russia and Ukraine in agriculture, the authors quantify the potential impact of the Russia–Ukraine conflict on food output, trade, prices and food security for the world.Design/methodology/approachThe authors mainly use the quantitative and structural multi-country and multi-sector general equilibrium trade model to analyze the potential impacts of the conflict on the global food trade pattern and security.FindingsFirst, the authors found that the conflict would lead to soaring agricultural prices, decreasing trade volume and severe food insecurity especially for countries that rely heavily on grain imports from Ukraine and Russia, such as Egypt and Turkey. Second, major production countries such as the United States and Canada may even benefit from the conflict. Third, restrictions on upstream energy and fertilizer will amplify the negative effects of food insecurity.Originality/valueThis study analyzed the effect of Russia–Ukraine conflict on global food security based on sector linkages and the quantitative general equilibrium trade framework. With a clearer demonstration of the influence about the inherent mechanism based on fewer parameters compared with traditional Global Trade Analysis Project (GTAP) models, the authors showed integrated impacts of the conflict on food output, trade, prices and welfare across sectors and countries.

A Comparative Study on Various Machine Learning Algorithms for the Prediction of Fake News Detections Using Bring Feed New Data Sets

To read the news, most smartphone users prefer social media over the internet. The news is posted on news websites, and the source of the verification is cited. The problem is determining how to verify the news and publications shared on social media platforms such as Twitter, Facebook Pages, WhatsApp Groups, and other microblogs and social media platforms. It is damaging to society to hold on to rumors masquerading as news. The request for an end to speculations, particularly in developing countries such as India, with a focus on authenticated, accurate news reports. This essay demonstrates a model and process for detecting false news. The internet is a significant invention, as well as a substantial number of individuals use it. These people use it for a variety of purposes. These users have access to a variety of social media platforms. Through these online platforms, any user can make a post or spread news. FAKE NEWS has spread to a larger audience than ever before in this digital era, owing primarily to the rise of social media and direct messaging platforms. Fake news detection requires significant research, but it also presents some challenges. Some difficulties may arise as a result of a limited number of resources, such as a dataset. In this project, we propose a machine learning technique for detecting fake news and implementing a novel automatic fake news credibility inference model with Natural language processing steps that include text mining. Machine learning algorithms construct a deep diffusive network model based on a set of explicit and latent features extracted from textual information to simultaneously learn the representations of news articles, creators, and subjects. The "Fake News Challenge" is a Kaggle competition, and the social network is using AI to sift fake news articles out of users' feeds. In the comparison study, three algorithms—Random Forest, Navy Bayes, and Passive Aggressive classifier—are used to determine the text accuracy value for the precision, recall, and f1 score using these methods. Finally, Passive Aggressive Classifier approach provides greater accuracy compared to others. Combating fake news is a traditional text categorization project with a simple proposition.

A Flexible, Sloppy Blob?

Abstract Ladyman and Ross argue that analytic metaphysics is a misguided enterprise that should give way to a naturalized metaphysics that aims to reconcile everyday and special-scientific ontologies with fundamental physics as the authoritative source of knowledge on the general structure of the universe. Le Bihan and Barton (argue, as against this, that analytic metaphysics remains useful as a basis for the body of work in AI known as “applied ontology.” They stop short of claiming, however, that analytic metaphysics is useful as metaphysics. I consider a basis for making the stronger claim: Smith's project for building what he claims to be metaphysical foundations for applied ontology (and for AI generally). Ultimately, the stronger claim is rejected; but in the course of this dialectic new aspects of the naturalistic metaphysical project come to light, including relationships between it and the traditional metaphysical project of providing foundations for philosophical semantics of truth and reference.

Introduction

Introduction

A construction schedule management method of large-scale construction project based on BIM model

In order to overcome the problems of long response time and small number of manageable indicators existing in traditional construction project schedule management methods, a new construction schedule management method based on BIM model is designed in this paper. The construction progress data acquisition and decoding module circuit is set to complete the construction progress data acquisition, and the K-means algorithm is used to preprocess the construction progress data. First, the construction project progress is decomposed; then, the large-scale construction project is divided into different progress management levels by the WBS analysis method; a functional information module is established; the construction project progress data is imported into the BIM model; and finally, the BIM information function management of the method is realised. The experimental results show that the proposed method has low response time and multiple schedule management indicators, and the shortest response time of the proposed method is only 1.1 s.

Evaluation on the coordination of protection and development of Yunnan ethnic traditional sports intangible heritage projects

Evaluation on the coordination of protection and development of Yunnan ethnic traditional sports intangible heritage projects

Enhancement in Student Employability by Providing Internship and Project Track

In order to strengthen its final year engineering students' worldwide competency, our institute decided to launch four choice-based project tracks in 2017–18. According to this method, students can select one option from traditional capstone project (CP), undergraduate research experience (URE), entrepreneurship development (ED), and industry internship & projects (IIP). The current work focuses on industry internship & projects (IIP), how it affects students' careers, employability chances assessment techniques perceived by students and the institute, and the significant steps done to address such challenges. Students and their evaluators were surveyed to analyze the results of the four track project method. Students who choose the IIP track were found to have improved their skills. Self-learning capacity, self-assurance, and critical thinking all showed satisfactory growth. The pupils' resumes were aided by this. In order to improve students technical understanding Institute again decided to change in four track structure into three track in 2020-21 by making CP track compulsory to each students which will starts in second semester of third year and ends after first semester of final year. Students that undergo compulsory the CP track in their Third year were successful in gaining abilities like teamwork, creative problem-solving, and time management. Which can helpful to them for better survival in Industry during Internship. Overall, it has been noted that the institute's placement percentage increased from 78.68 to 82.32 and average package have been increased from 2.60 LPA to 3.71 LPA Keywords—placement; internship; projects; employability JEET Category—Industry and Academia Collaboration

Procurement of artificial intelligence for radiology practice

The development of artificial intelligence (AI) technology for radiology has accelerated in the past decade, but its deployment in radiology practices has been slow. We take a sociotechnical approach and suggest that the limited use of AI in radiology practices can be attributed to a recurring tension between planned and emergent change. The paper contributes with a conceptualization and understanding of the tension during the procurement of AI for radiology. To balance this tension, we suggest that health organizations need to redefine the concept and scope of traditional procurement projects, with well-defined goals and project time. Instead, we propose that health organizations need to conceptualize their procurement and implementation projects of AI technology as evolving change processes. The study is based on an interpretive research approach and informed by the Information Infrastructure framework. Empirically, we study the procurement of AI solutions for radiology at a large health trust in Norway.

Scrum: A Systematic Literature Review

This study presents a Systematic Literature Review on an agile project management tool. The study offers a brief comparison between traditional and agile project management methodologies. Their respective concepts and characteristics are laid out to highlight and explain their main differences. The agile methods include quantitative and qualitative data, showing Scrum framework characteristics. This study highlights the importance of project management in function of its emergence as a response to problems encountered during improperly conducted projects. Furthermore, this study provides relevant information for professionals in the Industrial Engineering area and computer science. The results allowed us to conclude that Scrum is an agile framework for empirical-based project development; it was developed in the 1990s by Jeff Sutherland. It is a flexible and adaptable methodology. Scrum research peaked in 2020, and continues to be studied, mainly in the field of computer science. Finally, Brazil is well-positioned in third place for works published.

Study on Combined Sewer Overflow (CSO) Pollution and Its Control Method Based on Sewage Interception Along Rivers

Combined sewer overflow (CSO) pollution is the main factor that plagues the water environment in the area with combined sewer system in most cities of China. This paper analyzed CSO pollution, and reviewed the measures to solve CSO pollution and the latest research progress. The problems of traditional river interception projects were analyzed, and optimization and improvement ideas were proposed. Finally, a combined optimization scheme of source reduction-process control-end storage was proposed to control CSO pollution, which could provide reference for urban CSO pollution control in China.

MCDM approach to investigate the effectiveness of SCRUM events in minimizing risk factors in project management

Traditional project management methods have been used for many years in the implementation and management of projects. With the publication of the agile manifesto in 2001, the interest in agile methods increased and successful results were obtained in the execution and solution of complex projects with agile approaches. Agile approach consists of different structures that can be named as framework or method. Among these agile methods, which are selected and applied according to the suitability and purpose of the project, the most frequently preferred one is SCRUM. In this study, SCRUM, an agile project management technique that has been used frequently in recent years in order to develop a flexible project management process, has been examined, and the effectiveness of the events of the SCRUM technique in minimizing the risks that arise in project management has been evaluated. Determining the effectiveness of these SCRUM events, which each agile project team implements in turn, is very important for the correct and effective allocation of resources. For this purpose, a multi-criteria decision-making model has been proposed to evaluate the effectiveness of 4 SCRUM events within the scope of this study. While the importance weights of the 24 project management risk factors proposed in the solution phase of the created model were determined by the SWARA method, the SCRUM events were evaluated with the WASPAS, COPRAS and EDAS methods and the solution values found by three different methods were compared.

Which contractor competencies are valuable for the client in the pre-construction phase?

Large and complex construction projects have a new, increasing need to engage contractors in the pre-construction phase. New technology, cost- and time saving execution methods along with sustainability goals require solutions that the traditional project delivery models where contractor is involved at a later stage, are insufficient solutions as their ability to influence the outcome decreases. The purpose of this study is to examine the main competencies the client needs from the contractor in the preconstruction phase. Semi-structured interviews were conducted, along with 4 workshops and literature studies. Top ten technical competencies were identified, namely design, cost, planning, risk, regulations, materials, constructability, geotechnical knowledge, site planning & preparation, and HSE. According to the respondents, the ten competencies could be grouped in three categories; innovative approach, previous experience and a neutral group.As these groups are somewhat contradictory, it can indicate the cautious approach to ECI.

Zmierzyć ślad węglowy kultury. Przykład projektu teatralnego

To Measure the Carbon Footprint of a Culture. A Case Study of a Theatrical Project The article presents the results of carbon footprint measurements of a theatre project. For the purpose of the research, data from a survey and in-depth interviews with representatives of Polish theatres were used. Based on this data, a “model” was created, encompassing different variations of theatrical performances, including production, promotion, as well as online and on-site operations during guest performances. The analysis covers both direct emissions related to electricity consumption, transportation, and set design, as well as indirect emissions resulting from the supply chain and possible audience behaviour. The results clearly indicate that the greatest challenge in terms of the carbon footprint of a theatre project faced by cultural managers is mobility and the use of air travel for transporting theatre ensembles and set designs over long distances. Moreover, the transportation needs of the theatre ensembles and set designs for long distance travels pose a challenge. Additionally, the use of individual car transportation by audiences – even for short distances, is problematic – which could be addressed through the implementation of local partnerships. Getting familiar with this analysis can help producers, cultural managers, artists, and those responsible for shaping cultural policies to identify aspects with the greatest environmental impact and take appropriate adaptive actions. Although most of these actions will involve a profound change in traditional project management practices in the theatre, paying attention to relevant indicators, consciously developing new habits, and sharing resources provides an opportunity to expedite adaptation based on knowledge and organizational learning. These types of activities are necessary due to the unrelenting projectification of the field of culture and beyond, which causes organizations to operate in a kind of “projectocene”.

Learning in the transformation of organizations with the implementation of agile methods

Objective: This article aims to understand the influence of organizational learning on adaptation during the implementation of agile methods in the project management environment in companies. The study focuses on changing project management processes from the traditional “waterfall” to agile management models to meet the needs of organizations. It aims to identify how the organization based on traditional project management migrates to a new process, adapting the new agile methodology to its day-to-day activities. Design/methodology/approach: We carried out a systematic literature review, answering the question: How does organizational learning influence the adaptation of agile methods? Results: We grouped the articles into five fields of research: Agile Learning; Organizational Learning in the implementation of Lean and Scrum methodologies: Implementation of Lean and Scrum methodologies; Learning of the individual in the organization and Organizational Learning. Originality/Value: This article seeks interests in the potential of applying agile projects and the organizational learning acquired from this new model.

Application of BIM Technologies at All Stages of a Construction Project Life Cycle

Introduction. In the current realia of limited resources, high level of competition and high degree of market uncertainty the use of the modern information technologies at all stages of the construction investment project life cycle aimed at facilitating the construction companies in fulfilling their tasks becomes a priority. The implementation of BIM technologies is possible at all stages of a construction project life cycle. This is its advantage over traditional project management tools. The use of BIM technologies makes it possible to add and accumulate information about a capital construction facility in a 3D virtual model throughout the entire life cycle of the project. In this regard, it is possible to optimize such important managerial processes as planning, designing, supply chain management, building and erecting, equipment installment and commissioning of the completed facility. Thanks to using the virtual model, it is possible to control and coordinate the progress of works in all areas and at all stages of the project. Materials and methods. This study considers the possibility of forming and executing all stages of the construction investment projects using BIM technologies, including analysis and forecasting of the facility’s subsequent operation. The use of BIM technologies in the development of the construction investment projects makes it possible to reduce the risk of errors, quickly revise the design and extract the necessary data about the facility, as well as facilitate work progress monitoring.Results. Life cycle management of a construction project using BIM technologies includes five main stages that save not only time but also financial resources required for implementing the project. The BIM model ensures the accumulation of information about the facility in a scope and composition appropriate for making timely managerial decisions, as well as helps to avoid incorrect calculations of time, labor, finance and other resources demand, the same as inconsistencies between the structural elements of a facility and its engineering infrastructure. The use of a BIM model makes it possible to accurately plan the operation of machines and equipment, generate up-todate schedules for procurement of materials and optimize the main logistics processes within construction and operation.Discussion and conclusion. At present, the context and tradition of BIM technologies application in Russia are underdeveloped, their full potential is not used. In most domestic projects there is no integrate application of BIM. The transition to application of BIM technologies in the construction investment projects in Russia will still require some time. However, taking into account the scale and complexity of ongoing projects, the positive effect of BIM technologies implementation will increase encouraging more and more participants of construction investment market to turn to the use of modern technologies. The use of BIM technologies at all stages of construction projects life cycle will significantly contribute to boosting the level of process management, ensuring the high quality of construction products, reducing costs and time of construction. The implementation of BIM technologies at all stages of facilities entire life cycle is an important aid which will greatly foster the transformation of the construction industry in the context of its digitalization.