Field Of Technology Management Research Articles

Analysis of Current Situation, Problems and Countermeasures of Big Data in the Field of Engineering Management

Currently, the field of engineering management is experiencing rapid development and has become a significant force in promoting economic and social growth. Due to its complexity, creativity, systematization, and risk characteristics, the field of engineering management presents individuals with significant technical needs and processing difficulties. Big data has achieved significant advancements in the engineering management field due to its characteristics, including large data volumes, various types, and predictability. By utilizing big data, a sizable amount of engineering data can be rapidly analyzed and optimized for design solutions, resulting in improved efficiency and increased accuracy in decision-making while also reducing costs. However, the role of big data in engineering management is limited by issues such as data insecurity, low quality, and a shortage of professionals. This paper proposes solutions to address these challenges, including strengthening data security, enhancing data quality control, and improving personnel training and technological innovation.

СИСТЕМА ТЕХНОЛОГИЧЕСКОГО МЕНЕДЖМЕНТА В РОССИЙСКИХ И ЗАРУБЕЖНЫХ НЕФТЕГАЗОВЫХ КОМПАНИЯХ

The paper analyzes technological management systems in oil and gas companies, compares approaches and methods of process management in Russia and abroad. The basic principles and tools used for effective management of technological processes in the oil and gas industry are highlighted. The author identifies the key factors influencing the success of technology management systems, such as innovative approaches, the quality of personnel, the level of automation and the introduction of modern information technologies. The main challenges and trends in the field of technology management are also analyzed, including the need to comply with strict safety standards, resistance to changes in the energy market and environmental sustainability requirements.

Enhancing Industrial Automation through Efficient Technology Management in Society

Purpose: The accelerated advancement of technology has revolutionized industries across the globe, enabling unprecedented levels of automation and efficiency. An in-depth examination of the vital field of technology management and its crucial part in orchestrating the smooth automation of primary, secondary, tertiary, and quaternary industries is provided in this study. Information, communication, and computation technologies (ICCT underlying technologies) and nanotechnologies are included in the broad range of Universal technologies of the 21st century that fall under the purview of technology management. The first point made in the article is how crucial good technology management is to the success of industrial automation. It looks at how technology management techniques have changed to meet the varied and dynamic nature of contemporary industries. Design/Methodology/Approach: ICCT can be used to connect and coordinate processes, as well as for intelligent decision-making. Additionally, the potential of nanotechnologies for precise and miniature automation components is being explored. Examining the intricacies related to technology integration, scalability, and sustainability, key challenges and opportunities in technology management are examined. Findings/Result: The paper provides insights into best practices for matching organizational goals and strategies with technology management, emphasizing the necessity for flexible frameworks that can adjust to changing market demands. Based on the proposed developments of Super Intelligent Machines and technology-based singularity, and their impact on Industrial Automation, the consequences of socio-economic and environmental effects of technology-driven automation in companies are also covered in this article, highlighting the significance of ethical and sustainable technology management. It emphasizes the requirement for moral concerns, skill development, and laws that guarantee a fair transition to automated industrial processes while minimizing potential negative effects. Originality/Value: In summary, competent technology management forms the basis for the successful automation of industries in all spheres of society. This paper includes a comprehensive overview of the principles, strategies, and applications of technology management along with ABCD analysis emphasizing the potential for transformative change in the landscape of modern industries in all four sectors and the pressing need to ensure ethical and sustainable practices. Type of paper: Exploratory Research.

Evaluating preparedness in using blockchains for electronic health record systems

PurposeAn emerging technology in the primary stages of its life cycle is the blockchain. This research paper aims to evaluate the preparedness of hospitals in using blockchain technology in their electronic health record (EHR) systems.Design/methodology/approachIn the initial stage, 15 criteria relating to preparedness in using blockchain in EHR systems were identified from the literature and divided into five criteria, namely, technological, legal, financial, environmental and organizational. Then, 17 experts from various specialized fields were invited to form expert panels. After validating the criteria identified by the expert panels, the weights of the criteria were determined through the fuzzy best-worst multicriteria decision-making method. Following that, the preparedness of ten selected hospitals in Tehran to use blockchain in their EHR systems was assessed via the weighted aggregated sum product assessment method. Finally, using sensitivity analysis and examining different scenarios, the robustness of the results of the proposed approach was validated.FindingsAccording to expert judgments, the legal criterion (32%) was deemed the most important factor in the preparedness to use blockchain in EHR systems followed by technological (28%), financial (17%), organizational (13%) and environmental (9%) criteria. A sensitivity analysis showed that the proposed approach offers good strength and robustness in evaluating the selected hospitals.Originality/valueThis study can be useful in developing knowledge in the field of technology management for evaluating blockchain implementation in the health-care industry using a novel, coherent and robust approach. In addition, the proposed approach provides comprehensive insight for decision-makers on assessing preparedness in deploying blockchain technology in EHR systems.

A Study on the Calibrated Confidence of Text Classification Using a Variational Bayes

Recently, predictions based on big data have become more successful. In fact, research using images or text can make a long-imagined future come true. However, the data often contain a lot of noise, or the model does not account for the data, which increases uncertainty. Moreover, the gap between accuracy and likelihood is widening in modern predictive models. This gap may increase the uncertainty of predictions. In particular, applications such as self-driving cars and healthcare have problems that can be directly threatened by these uncertainties. Previous studies have proposed methods for reducing uncertainty in applications using images or signals. However, although studies that use natural language processing are being actively conducted, there remains insufficient discussion about uncertainty in text classification. Therefore, we propose a method that uses Variational Bayes to reduce the difference between accuracy and likelihood in text classification. This paper conducts an experiment using patent data in the field of technology management to confirm the proposed method’s practical applicability. As a result of the experiment, the calibrated confidence in the model was very small, from a minimum of 0.02 to a maximum of 0.04. Furthermore, through statistical tests, we proved that the proposed method within the significance level of 0.05 was more effective at calibrating the confidence than before.

Technology life cycle analysis: From the dynamic perspective of patent citation networks

Technology development is a blend of inheritance and innovation that follows certain rules along a technology trajectory. This trajectory charts a technology's evolution and is among the best-supporting data for decision making. Technology life cycle (TLC) analysis, as one of the foundational topics in the field of technology management, is of vital importance for describing the evolutionary path of technology. However, most current methods simply rely on static patent indicators, which neglect the dynamic aspects of a technology's development. To overcome this limitation, we propose a framework of diverse characteristics and novel procedures for identifying the entire span of a technology's life cycle from a series of patent citation networks. After retrieving patent data with a well-defined search strategy, a sequence of patent citation networks is constructed year by year. Network attribute indicators are then calculated for each of the networks and used to inform an evolution model, which reveals the TLC. To illustrate the strengths and potential of this approach, we have taken additive manufacturing technology as an example for analysis. Through the framework, we are able to demonstrate the technology at various stages of its maturity and how it has changed over time, along with some areas of competitive advantage and promising future opportunities.

Mathematical Model Prototype to Optimise Engineering Management of the Construction Site

Abstract Modern construction technologies strongly affect the environment. Therefore, design and building construction should also follow the sustainable development principle. In this case, design and construction work based on the sustainable development principle should aim at creating a safe and healthy living environment, the economical use of natural resources, and the stimulation of economic development to create the welfare for humans and favourable natural conditions. The article proposes a mathematical algorithm as a comprehensive solution for engineering management of the planning construction site, from the calculation of the earthworks to the automated creation of the engineering geological cross-sections. The paper integrates engineering management, mathematical modelling, and BIM technology. The application of the building information model is undoubtedly one of the most advanced technologies used in the engineering management field, whose advantages have been shown by researchers. In the preliminary stage of construction and production management, decisions should be made regarding material and human resources, schedules, and estimates. The main purpose of this article is the optimisation of the excavation. Other issues important to the organisation and management of the construction are the planning of safe work on the construction site, depending on the soil type. Geotechnical sections allow ascertaining the need for additional fortifications and the depth of the fortifications for safe work. The paper describes the principal mathematical model developed by the authors to design a construction site using BIM technologies. It presents the main formulas of a mathematical algorithm aimed at selecting the objects used on the building site and the need for them. It also gives the main principles of engineering management and methods for selecting the mechanisms used on the construction site. Understandably, a specialist’s visit to the construction site will not be avoided, and it is difficult to present the entire current situation only with a review report or photographs. Using a photogrammetric model, the expert has the opportunity not only to visually evaluate the current condition but also to perform measurements (length, width, and volume) directly in the photogrammetric model. Important and new information about the construction site indicates all relevant obstacles, i.e., plants, surrounding constructions, and other objects.

Qualitative simulation of organization quality specific immune decision-making of manufacturing enterprises based on QSIM algorithm simulation

Quality is the core of the enterprise, strengthening organization quality specific immune is the key channel. Organization quality specific immune belongs to science and engineering management field, QSIM qualitative simulation method that refer to computational simulation algorithm is widely used in the science and engineering management field, QSIM qualitative simulation method can solve science and engineering management issues effectively. In this study, qualitative simulation QSIM theory is used to analyze and reason the organization quality specific immune decision of manufacturing enterprises. Combined with the pressure-state-response framework, the management mechanism of organization quality specific immune is analyzed according to state variables, decision variables, system variables and environment variables, and further the qualitative simulation rules for organization quality specific immune decision-making are set according to the causal relationships among variables of organization quality specific immune. This study sets organization quality monitor, organization quality defense and organization quality memory as the decision variables, uses QSIM algorithm for simulating organization quality specific immune decision-making reasoning, compares with the influences of single decision variable and multi-decision variables on organization quality specific immune system through simulation results. Simulation results indicate that QSIM algorithm simulation can be used to simulate and reason organization quality specific immune decision-making in order to help manufacturing enterprises reasonably enhance organization quality specific immune performance and quality performance through three decision variables of organization quality monitor, organization quality defense and organization quality memory. The simulation results will provide new revelation for organization quality specific immune decision-making of manufacturing enterprises.

Identifying new innovative services using M&A data: An integrated approach of data-driven morphological analysis

This study suggests a concrete framework for generating new service ideas using an M&A dataset. Addressing the limitations of previous works that neglected service-specific characteristics, we suggest methods to extract service-specific keywords and phrases from the text and restructure them to provide clear evidence for new service development. Therefore, we propose a process for building data-driven quality function deployment (QFD) and data-driven morphological analysis (MA). First, M&A transactions were collected from CrunchBase, which is an open platform that provides start-up information. Service actions and service contents are then extracted from the text using natural language processing. For each extracted keyword, a clustering analysis was performed to identify the new service patterns. For clustered service actions and contents, MA is employed to generate new service ideas. This study contributes to the technology management field by first employing M&A records for the data-driven morphological matrix and suggests how to extract service actions and service contents from the text. We also suggested a new systematic way of identifying new services using an integrated approach of QFD and MA. This work is expected to help managers in new service development by providing practical guidance and tools for utilizing textual data.

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era.

Training the next generation of industrial engineers and managers is a constant challenge for academia, given the fast changes of industrial technology. The current and predicted development trends in applied technologies affecting industry worldwide as formulated in the Industry 4.0 initiative have clearly emphasized the needs for constantly adapting curricula. The sensible socioeconomic changes generated by the COVID-19 pandemic have induced significant challenges to society in general and industry. Higher education, specifically when dealing with Industry 4.0, must take these new challenges rapidly into account. Modernization of the industrial engineering curriculum combined with its migration to a blended teaching landscape must be updated in real-time with real-world cases. The COVID-19 crisis provides, paradoxically, an opportunity for dealing with the challenges of training industrial engineers to confront a virtual dematerialized work model which has accelerated during and will remain for the foreseeable future after the pandemic. The paper describes the methodology used for adapting, enhancing, and evaluating the learning and teaching experience under the urgent and unexpected challenges to move from face-to-face university courses distant and online teaching. The methodology we describe is built on a process that started before the onset of the pandemic, hence in the paper we start by describing the pre-COVID-19 status in comparison to published initiatives followed by the real time modifications we introduced in the faculty to adapt to the post-COVID-19 teaching/learning era. The focus presented is on Industry 4.0. subjects at the leading edge of the technology changes affecting the industrial engineering and technology management field. The manuscript addresses the flow from system design subjects to implementation areas of the curriculum, including practical examples and the rapid decisions and changes made to encompass the effects of the COVID-19 pandemic on content and teaching methods including feedback received from participants.

International Journal of Innovation and Technology Management — Special Issue in Honor of Professor M. Atilla Öner (1955–2018) Managing Emergent Technologies

This special issue is dedicated to the memory of Professor M. Atilla Öner, who passed away in the most fruitful times of his scholarly life on the 29th of August 2018. Prof. Öner graduated in the first place of the Engineering Faculty at Boğaziçi University in İstanbul, Turkey in 1978. Continuing in the path of engineering, he completed his academic degrees of M.S. and Ph.D. in Chemical Engineering at Yale University. He went back to his home country following his Ph.D. and worked in the industry leading several R&D projects for more than a decade from 1985 to 2000. While he had gained intensive practical experience in the real sector, he never disconnected his ties with academic life. Prof. Öner taught courses in the field of technology management at Boğaziçi University and advised projects at the Scientific and Technological Research Council of Turkey during these times as an adjunct faculty. As of 2000, he permanently moved to academia to achieve his tremendous passion for teaching and research at the Department of Business Administration at Yeditepe University in İstanbul, Turkey. He was a Professor of Technology and Operations Management and served as the managing director of the Management Application and Research Center at Yeditepe University. He contributed to the scholarly work in the fields of methodology, technology road mapping, R&D management, and technology management. He supervised several MS/MBA and Ph.D. theses on national innovation systems, pilot national (sectoral) foresight studies, system dynamic modeling of R&D management, project management, and public policy issues. He was an associate editor of Technological Forecasting and Social Change and served on the editorial board of Foresight, Futures, International Journal of Innovation and Technology Management.

Technology Forecasting in the Mobile Telecommunication Industry: A Case Study Towards the 5G Era

The evolution of 3G and Long Term Evolution (LTE) has brought a remarkable advantage to mobility-based digital solutions by providing ubiquitous Internet services to a plethora of users with various needs. Nowadays, the dramatic adoption of smart devices and increasing consumption of mobile Internet have been accelerating mobile technology development activities toward a 5G ecosystem. Therefore, industry players need to make managerial decisions and design strategies based on forecasts related to the introduction of 5G technology. The aim of this research is to enhance the understanding of technological forecasting and technology life cycle in the mobile telecommunication industry. Specifically, the study was carried out in Turkey to contribute to the engineering management field on the topic. This contribution will be realized by forecasting the ideal launch time of 5G services for a leading telecommunication company in the market, which has been integrating new mobile technologies and densifying its existing network at an unprecedented rate in recent years. Our findings reveal that the most appropriate time for the 5G deployment and launch of mobile telecommunication services in Turkey would be in August 2020. This is the time when most of the forecast parameters used for making decisions on network investments are predicted to reach maturity.

Identifikasi Risiko pada Perpustakaan Daerah Gresik dengan NIST SP 800-30

With the rapid development of technology in Indonesia, several companies and government institutions have begun to implement IT in their systems, as well as the Gresik Regency Regional Library. Information Technology is a field of technology management and covers various fields including but not limited to things such as processes, computer software, information systems, computer hardware, programming languages, and data construction. In short, what makes data, information or knowledge felt in any visual format, through any mechanism of multimedia distribution, is considered part of Information Technology. Regional Library of Gresik Regency is one of the institutions from the government that has implemented Information Technology in their system. Gresik district library has about thirty thousand books consisting of novels, magazines, school textbooks, literature, and others. The Regional Library of Gresik Regency is now using the INLIS LITE application, this application is used by the library, from the collection of books to the list of library members

Reflection of Literature on Using Lean Innovation Models For Start-Up Ventures

This paper discusses lean innovations and lean startup methods for the engineering management field. The aim of the literature review is to explain the methods and processes used in lean startup. First, we discuss the concept of startup and the impact that innovation has on startups and organizations seeking to implement lean innovations models. The assumption made in the hypothesis is that lean startup can be applied to areas outside of high-tech entrepreneurship. This hypothesis is further explored in the research. The findings in this paper suggest that innovation and entrepreneurship are highly influenced by innovation and company cultures. We find that technology transfer plays a key role in fostering innovation. However, there are barriers to public-private innovation partnerships, which is discussed in this paper.

Measuring the Potential for Technology Entrepreneurship Development: Serbian Case

Research Question: This paper explores the potential for technology entrepreneurship development at the country level through the creation of a new composite index. Motivation: Motivation for this paper arises from the fact there is a lack of the composite indices used exclusively for technology management as identified by Jovanovic et al. (2017). Technology indices are mostly used as important components of other composite indices used for tracking a country performance from the perspective of other global phenomena (e.g. competitiveness and innovativeness). The novelty of this paper reflects in the proposed Technology Entrepreneurship Development Potential (TED-pot) index which has multiple significances. It could serve as a help for policy makers in creating national policies; other companies and countries looking for the adequate environment to invest in technology entrepreneurship projects; academics who benefit from a new country-level view on technology entrepreneurship, especially ICT entrepreneurship. Idea: The idea of the paper was to create the TED-pot index to enable the cross-countries comparisons and examine whether the potential of Serbia lies in its entrepreneurial ICT sector. Data: Four indicators included in the created index are measured by the World Bank. The index is applied on six ex-Yugoslav countries and the EU for the period 2009-2014. All the data is collected from the World Bank database. Tools: The final index value is obtained by using the simple weighted function with equal weights. The overall TED-pot has been built upon the equal weighting of the two created pillars: ICT potential (ICT-pot) and Entrepreneurial potential (E-pot). The values for each pillar are calculated by the same procedure, through the simple mean of certain indicators. Findings: According to the calculated TED-pot values, Serbia stands out as a country with the greatest potential for technology entrepreneurship development in the region. Analysing individual pillars, ICT-pot indicates Serbia has very strong ICT sector, far ahead of other countries in the region, while the E-pot values show there is a space for administration to ease and speed up the process of starting new businesses in Serbia. This is a pilot research and the first presentation of the created index, which calls for further investigation. Contribution: This paper expands exiting research related to the country-level measurement in the field of technology management and entrepreneurship, especially focusing on ICT entrepreneurship development.

Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents

In the field of technology management, methods have been developed to detect technologies that are important in industry by analyzing massive numbers of documents. Such methods have been applied to the field of the Internet of Things as well to investigate technological trends. The Internet of Things consists of several conventional concepts, such as radio frequency identification, near field communication, and sensor networks. However, no research compares these technologies by analyzing massive quantities of papers and patents. Thus, in this study, we explored the research areas of technologies related to the Internet of Things, for which there are opportunities for commercialization in the near future. We also discuss potential applications of these technologies in diverse systems.

Exploring factors influencing technology transfer capability: Constructing a model through grounded theory

Abstract The purpose of this qualitative research is to explore a conceptualization of factors that influence technology transfer capability. It identifies what and how factors perceived by expert participants impact technology transfer. Data from in-depth semi-structured interviews with twenty participants, who are experts in the field of technology management from top food enterprises, were analysed using grounded theory methodology to categorize concepts and conceptualize a provisional model. NVivo software application was used for qualitative data analysis. The study results identify organizational, departmental and environmental factors that impact technology transfer capability. Seven main themes emerged relating to: (1) new technology identification, acquisition and implementation ability; (2) research and development (R&D) ability; and (3) external environment. The data also clearly illustrate how these factors work in the food industry context and provide a foundation for developing a theoretical framework. The article provides implications for the development of a more complete model of determinants of technology transfer capability for firm owners, policy-makers and technology managers to develop more sustainable strategies to boost firms’ technology transfer and enhance competitive advantage. This article fulfills an identified need to study technology transfer capability and fills a literature gap in technology management by a qualitative study of industry experts.

Associated Petroleum Gas: Problems, Prospects, Ways to Increase Its Effective Use

The purpose of the study is to analyze the efficiency of using associated petroleum gas (APG) and to identify the main problems, prospects and ways to increase the efficiency of its use. The article presents the results of studying the current state policy and national interests in the field of its rational use. The authors carried out an analysis of the current state of the oil and gas market at the international and regional level, as a result of which the main spectrum of problems of APG effective use was identified. A scheme was proposed which regulates the interaction between the APG market participants and is aimed at increasing the level of APG beneficial use in Russia. The authors’ research will make it possible to determine that the most significant factors that ensure a high level of APG flaring in Russia are as follows: the shortage of APG processing capacity, the restriction of oil companies’ access to the Unified Gas Supply System, the gaps in the current legal and regulatory framework, the absence of a single mechanism for the selection of projects on utilizing APG in a particular field/group of fields, as well as pricing in the oil and gas market. The findings are of practical value for scholars in the field of technology management, and for large industrial complexes.

The effects of the chief technology officer and firm and industry R&D intensity on organizational performance

Between 1993 and 2013 the number and power of CTOs increased; as indicated in the percentage of firms with CTOs, their increasing presence on boards, their compensation relative to their CEOs, and compensation relative to other highly compensated executives. Firms which pursue an aggressive technology strategy (powerful CTO, high R&D spending) in industries in which technology is a critical contingency have well above normal market adjusted returns while those which pursue that strategy in industries in which technology is not critical have well below normal returns. These results empirically confirm longstanding, untested assumptions in the field of technology management. Moreover, the effect of R&D expenditures on firm performance is contingent on the degree to which technology is a critical contingency in the industry and on the power of the firm's CTO. These findings may explain the mixed results of past studies of the effects of R&D expenditure on firm performance. A model which integrates its own insights with those of earlier work on CTOs, R&D expenditures, firm strategy, and firm power dynamics is presented and supported.

Unpacking early experiences with health technology reassessment in a complex healthcare system

ABSTRACTHealth technology reassessment (HTR) is an emerging evidence-based policy approach that addresses sub-optimal utilization of health technologies at the systems-level. Internationally, there are few documented accounts of HTR processes and little is known of its potential impact(s). The objective of this study is to explore and describe the initial conceptualization and introduction of HTR in a complex Canadian healthcare system, and identify factors that may contribute to successful and unsuccessful HTR initiatives. Semi-structured interviews with 22 healthcare professionals were conducted. Constant comparative analysis of interview data was used to develop a coding framework and key themes and relationships were synthesized narratively. Several necessary conditions to facilitate engagement with HTR, including understanding of the concept and process, communication, effective leadership, and adequate support, were identified. Sustaining consensual and authentic engagement was identified as critical. Four tensions influenced initial HTR experiences: strategic thinking versus immediate success; practice-based versus academic-based research; have’s versus have nots; and incenting versus maximizing value. There is significant potential to integrate HTR in a complex healthcare system; yet identified tensions require careful balancing as they can challenge implementation. These findings will help other healthcare systems to integrate HTR into their operations and advance the field of technology management.