Corporate Digital Responsibility in Construction Engineering

2020 ◽  
Vol 2 (1) ◽  
pp. 32-49
Author(s):  
Bianca Weber-Lewerenz
Keyword(s):  
Artificial Intelligence ◽  
Technological Development ◽  
Ethical Framework ◽  
Ethical Perspective ◽  
Construction Engineering ◽  
Mandatory Requirement ◽  
Project Life Cycle ◽  
Digital Planning ◽  
Digital Environments ◽  
Project Life

Digitization has become a powerful tool for digital planning, construction, and operations with high potential for improved project life cycle. The study discusses digitization and AI from an ethical perspective. After an introduction on the relation of moral and technology and the evaluation of corporate responsibilities in digital environments, the study leads to fields of using AI with developers' and users' ethical responsibilities. The scientific approach examines challenges and potential of human led technologies undergoing digital transformation. The construction industry is challenged by CDR in an era of increasing artificial intelligence (AI) application. As a result of the high demand in both technological development and value-based decision making, CDR in construction examines holistically responsible digitization and AI. It reviews status quo and its ethical framework by law. A key consideration in the ethical impact on AI is differing between human and artificial intelligence as mandatory requirement to define risks, potential, areas of application.

scholarly journals Corporate digital responsibility (CDR) in construction engineering—ethical guidelines for the application of digital transformation and artificial intelligence (AI) in user practice

2021 ◽  
Vol 3 (10) ◽  
Author(s):  
Bianca Weber-Lewerenz
Keyword(s):  
Artificial Intelligence ◽  
Business Models ◽  
Research Question ◽  
Transformation Process ◽  
Digital Transformation ◽  
Fundamental Rights ◽  
Ethical Framework ◽  
Ethical Guidelines ◽  
Ethical Perspective ◽  
Construction Engineering

AbstractDigitization is developing fast and has become a powerful tool for digital planning, construction and operations, for instance digital twins. Now is the right time for constructive approaches and to apply ethics-by-design in order to develop and implement a safe and efficient artificial intelligence (AI) application. So far, no study has addressed the key research question: Where can corporate digital responsibility (CDR) be allocated, and how shall an adequate ethical framework be designed to support digital innovations in order to make full use of the potentials of digitization and AI? Therefore, the research on how best practices meet their corporate responsibility in the digital transformation process and the requirements of the EU for trustworthy AI and its human-friendly use is essential. Its transformation bears a high potential for companies, is critical for success and thus, requires responsible handling. This study generates data by conducting case studies and interviewing experts as part of the qualitative method to win profound insights into applied practice. It provides an assessment of demands stated in the Sustainable Development Goals by the United Nations (SDGs), White Papers on AI by international institutions, European Commission and German Government requesting the consideration and protection of values and fundamental rights, the careful demarcation between machine (artificial) and human intelligence and the careful use of such technologies. The study discusses digitization and the impacts of AI in construction engineering from an ethical perspective. This research critically evaluates opportunities and risks concerning CDR in construction industry. To the author’s knowledge, no study has set out to investigate how CDR in construction could be conceptualized, especially in relation to digitization and AI, to mitigate digital transformation both in large, medium- and small-sized companies. This study applies a holistic, interdisciplinary, inclusive approach to provide guidelines for orientation and examine benefits as well as risks of AI. Furthermore, the goal is to define ethical principles which are key for success, resource-cost-time efficiency and sustainability using digital technologies and AI in construction engineering to enhance digital transformation. This study concludes that innovative corporate organizations starting new business models are more likely to succeed than those dominated by a more conservative, traditional attitude.

scholarly journals Project Narratives That Potentially Perform and Change the Future

2021 ◽  
pp. 875697282199534
Author(s):  
Natalya Sergeeva ◽  
Graham M. Winch
Keyword(s):  
Life Cycle ◽  
Value Creation ◽  
Future Research ◽  
Future Research Agenda ◽  
Project Life Cycle ◽  
Different Types ◽  
The Future ◽  
Organizational Narrative ◽  
Project Life ◽  
Future Project

This article develops a framework for applying organizational narrative theory to understand project narratives that potentially perform and change the future. Project narratives are temporal but often get repeated throughout the project life cycle to stabilize meaning, and could be about project mission, vision, identity, value creation, and so forth. Project narratives have important implications for organizational identity and image crafting. This article differentiates among different types of project narratives in relation to a project life cycle, providing case studies of project narratives on three major UK rail projects. We then set out the future research agenda into project narrative work.

Development of migrant workers in construction based on machine learning and artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Chen Guang
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Labor Force ◽  
Migrant Workers ◽  
Engineering Industry ◽  
Agricultural Industry ◽  
Construction Engineering ◽  
Artificial Intelligence Technology ◽  
Chinese Labor ◽  
The Times

Artificial intelligence technology has been widely used in all aspects of our life. Similarly, the application of artificial intelligence in the field of construction engineering is a necessary trend in the development of engineering industry, especially in the traditional construction engineering department. Under the background of the times, from the perspective of knowledge, artificial intelligence technology has appeared a huge development, which may have an impact on the employment of Chinese labor force, may create new jobs, or replace traditional jobs. This effect on employment is essential. From the perspective of machine learning and artificial intelligence, this paper reviews the transformation prospects of engineering industry and the development of agricultural industry in construction industry, and examines the intellectual transformation of individual human capital in Chinese labor force.

Adapting the scrum methodology for establishing the dynamic inter-organizational collaboration

2018 ◽  
Vol 31 (4) ◽  
pp. 852-866 ◽  
Author(s):  
Mohammad Reza Mollahoseini Ardakani ◽  
Seyyed Mohsen Hashemi ◽  
Mohammadreza Razzazi
Keyword(s):  
Value Added ◽  
Business Environment ◽  
Professional Organizations ◽  
Business Practices ◽  
Content Type ◽  
Incremental Method ◽  
Business Environments ◽  
Project Life Cycle ◽  
Modern Business ◽  
Project Life

Purpose The purpose of this paper is to propose an applicable method for establishing the dynamic inter-organizational collaborations (DIOCs) based on the scrum methodology. Design/methodology/approach The scrum methodology embedded within the context of the DIOC project life cycle was used and adapted to being usable with specific characteristics of the project. Findings In order to succeed in the highly competitive, dynamic and changing business environments, the organizations need to change their view of business practices. The transition from the traditional status of manufacturing to the inter-organizational collaborations can be one of the fundamental changes in the modern business management. The proposed method has the capability to establish DIOCs effectively and efficiently whilst guaranteeing agility, competitiveness, and risk timely management. Originality/value Establishing collaborative alliances via association of various experienced and professional organizations and producing the value-added market’s need services is an effective and efficient solution for survival of SMEs in the current competitive, dynamic and changing business environment. So far, different frameworks, reference models/architectures, and many theoretical discussions have been presented for DIOCs context, but these representations are conceptual, empirical and generic. This paper aims to propose an applicable iterative and incremental method for establishing the DIOC which guarantees the agility and risk timely management of the establishment process and promotes competitiveness of partners.

Artificial Intelligence in Construction Engineering and Management

2021 ◽  
Author(s):  
Limao Zhang ◽  
Yue Pan ◽  
Xianguo Wu ◽  
Mirosław J. Skibniewski
Keyword(s):  
Artificial Intelligence ◽  
Construction Engineering

Prospects for Cooperation Between Russia and the Republic of Korea in the Fields of Big Data, Network and Artificial Intelligence for the Development of the Digital Economy

2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Technology Development ◽  
Technological Development ◽  
Digital Economy ◽  
Republic Of Korea ◽  
Data Network ◽  
Leading Position ◽  
The Government

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.

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