Technology Decisions Research Articles

Navigating Global Leadership Strategies for E-Enabling Technology Deployment

Objective: The objective of this research was to explore and understand the experiences of global corporate leaders in adopting e-enabling innovations and the associated leadership challenges. The research aimed to identify the leadership skills, knowledge, and practices that facilitate the transition from traditional operational models to leaner e-enabled approaches.
 
 Method: This qualitative phenomenological research engaged 20 global corporate leaders in an in-depth examination of their leadership experiences. The research focused on how these leaders employed their skills and knowledge to drive the transformation of their corporates into more efficient and interconnected entities through e-enabling technologies.
 
 Results: Four distinct themes emerged from the analysis of the corporate leaders’ experiences. The findings highlighted the significant influence of transformational leadership attributes combined with the e-leadership approach on the successful implementation of information technology initiatives. The leaders’ insights emphasized the transformative effects of their leadership on both corporate strategies and technological decisions. Additionally, the study revealed the identification of best practices and procedures that contribute to effective e-enabling technology adoption.
 
 Conclusion: Embracing e-enabling best practices and employing transformational leadership approaches have a positive impact on the quality of information technology implementations in corporate settings. The research underlines how leaders’ experiences can help them recognize the broader implications of their leadership styles on technology-driven decisions. Consequently, this recognition supports the development of effective strategies for successful e-enabling technology integration. Furthermore, the study highlights the necessity of aligning mentoring, training, and education strategies with corporate goals to enable the adoption of new e-leadership approaches. As organizations continue to navigate complex technological landscapes, the cultivation of 21st-century e-leadership skills become essential for effectively managing changes in team capabilities, processes, and knowledge management.

A qualitative study of mothers' experiences adopting deaf or hard-of-hearing children.

The current study presents the results of a qualitative investigation into the perspectives of mothers who have adopted children who are deaf or hard of hearing. Nine mothers, recruited via convenience and snowball sampling, participated in semi-structured interviews via videoconference technology. The interviews were transcribed and coded for thematic analysis. Parent perspectives on the following topics were analyzed: motivation, reaction to identification, communication and technology decisions, language, services pre- and post-adoption, others' reactions, expectations, race and ethnicity, and attachment and adjustment. Based on thematic analysis of the participants' responses, key themes and implications for professional practice are proposed.

Next generation synthetic memory via intercepting recombinase function

Here we present a technology to facilitate synthetic memory in a living system via repurposing Transcriptional Programming (i.e., our decision-making technology) parts, to regulate (intercept) recombinase function post-translation. We show that interception synthetic memory can facilitate programmable loss-of-function via site-specific deletion, programmable gain-of-function by way of site-specific inversion, and synthetic memory operations with nested Boolean logical operations. We can expand interception synthetic memory capacity more than 5-fold for a single recombinase, with reconfiguration specificity for multiple sites in parallel. Interception synthetic memory is ~10-times faster than previous generations of recombinase-based memory. We posit that the faster recombination speed of our next-generation memory technology is due to the post-translational regulation of recombinase function. This iteration of synthetic memory is complementary to decision-making via Transcriptional Programming – thus can be used to develop intelligent synthetic biological systems for myriad applications.

Explanation and the Right to Explanation

Abstract In response to widespread use of automated decision-making technology, some have considered a right to explanation. In this article, I draw on insights from philosophical work on explanation to present a series of challenges to this idea, showing that the normative motivations for access to such explanations ask for something difficult, if not impossible, to extract from automated systems. I consider an alternative, outcomes-focused approach to the normative evaluation of automated decision making and recommend it as a way to pursue the goods originally associated with explainability.

How is entrepreneurial marketing shaped by E-commerce technology: a case study of Chinese pure-play e-retailers

PurposeThe focus of this study is on how online-only retailers, known as pure-play e-retailers, leverage e-commerce platforms to identify and pursue market opportunities. Through the perspective of entrepreneurial marketing, this study aims to explore the influence of e-commerce technologies on the decision-making process of entrepreneurial marketing. This exploration is conducted via a case study of pure-play e-retailers based in China.Design/methodology/approachThis study utilised a qualitative case study methodology to examine the complex processes of entrepreneurial marketing in an online environment. The study gathered detailed insights from both owner-managers and staff members of eight pure-play e-retail businesses. Additionally, the research involved a careful review of the firms' webpages and social media pages. This holistic approach facilitated a comprehensive understanding of their marketing strategies and practices.FindingsThe case study findings indicate that while many core aspects of entrepreneurial marketing remain important, there are distinct factors influencing the entrepreneurial marketing decision-making in the online marketplace. The online EM framework can be visualised as follows: (1) trend-orientated as well as innovative-orientated (2) data-orientated and entrepreneur-orientated (3) innovative-driven customer stimulation (4) orientated towards both platforms and proactiveness.Originality/valueThe paper provides an initial understanding of how digitalisation is enabling and transforming entrepreneurship in companies with high level digitalisation but low level digital development. Building on current entrepreneurial marketing literature, this paper develops an online entrepreneurial marketing framework to enhance understanding of the interaction between e-commerce technology and entrepreneurial marketing decision making.

Site suitability analysis for industrial development using geospatial technology and multi criteria decision making

AbstractIn the process of developing industries to eradicate poverty, developing countries continue to invest more in their land use system, as this may provide a safeguard to food security through a healthy ecosystem and have a positive impact on sustainability. The Geographic Information System (GIS) has created an unprecedented world of possibilities for processing data from remote sensing and other sources. Multi Criteria Decision Making (MCDM), in conjunction with geospatial technology, provides a tool for industrial area mapping and management. The current research was conducted in three blocks of the Baleshwar district in northern Odisha, India. Analysis of a location's physical, social, and economic factors to see if it is good for a certain use, like an industrial setup, urban planning, or recreational use, is becoming more and more important in today's world so that important decisions can be made within a short period. Due to the fact that the present research location is located in close proximity to both hilly terrain and a coastal plan, the site's appropriateness may be improved by employing a variety of factors to design an industrial setup that is economically viable. The goal of the study is to apply land suitability analysis (LSA) to identify existing land use in areas with industrial growth potential so that agricultural and industrial development may focus on long‐term sustainability. According to this study, 16.6% (201.79 km2) of the area is highly suitable, 48.2% (586.96 km2) is moderately suitable, 15.5% (188.40 km2) is less suitable, and 19.71% (239.73 km2) is not suitable at all. Due to the abundance of raw materials, improved communication, and proximity to the shore, the Baleswar block has the largest percentage of highly suitable areas when compared to the Remuna and Nilgiri blocks of the research area.

Assessment of resource-saving technologies in low-tonnage chemical industries for compliance with best available technologies principles

Objectives. To develop a methodology for the quantitative assessment of new technologies in accordance with the principles of best available technologies (BAT). To evaluate the developed technologies of low-tonnage chemical production of tetramethylthiuram disulfide, N-cyclohexyl-2- benzothiazolylsulfenamide, diisopropyl xanthohen disulfide, and N-phenyl-2-naphthylamine for compliance with BAT principles and compare with alternative (implemented, known) technologies in terms of environmental impact.Methods. A methodology for the quantitative assessment of new technologies for the production of organic substances in accordance with BAT principles was used.Results. The developed methodology for the quantitative assessment of new technologies in accordance with BAT principles based on the calculation of comprehensive comparison indicators with alternative technologies for technological and environmental indicators allowed us to determine the level of implemented technologies for the production of tetramethylthiuram disulfide, N-cyclohexyl-2-benzothiazolylsulfenamide, diisopropyl xanthohen disulfide, and N-phenyl-2- naphthylamine to minimize the impact on the environmental, including through the development of special technological solutions for resource conservation and waste reduction, and to conduct a quantitative assessment of the achieved environmental outcome. It is established that the considered new technologies of low-tonnage chemical production comply with BAT principles and are more environmentally advanced compared to alternative ones previously implemented in the USSR.Conclusions. For the first time, a methodology for quantifying new technologies in accordance with BAT principles is proposed. The possibility of its use at the stage of making basic technological decisions on the implemented production method in order to ensure compliance with legislative requirements for technologies in the field of environmental safety to achieve environmental protection goals is shown on the example of low-tonnage technologies for the production of tetramethylthiuram disulfide, N-cyclohexyl-2-benzothiazolylsulfenamide, diisopropyl xanthohen disulfide, and N-phenyl-2-naphthylamine created in GosNIIOKhT.

Development of teaching material based on plomp development model to support merdeka curriculum on global warming topic

The COVID-19 pandemic has resulted in changes and impacts on education in Indonesia. One of the impacts is the emergence of learning loss, where students lose the competencies learned before and could be more optimal at completing learning. The government is updating the curriculum to overcome the existing problems. Based on the Ministry of Education, Research, and Technology decision, the curriculum applied now is the Merdeka Curriculum. With curriculum changes, additional teaching tools are needed as references that will be used in the learning process for teachers and students. Teaching materials are one teaching tool that teachers can use in the classroom. This study aims to produce Teaching Materials to Support The Merdeka Curriculum Learning on Global Warming Caused by Human Activities Material in Phase E. The research method used is Educational Design Research (EDR) using the Plomp development model, which consists of three stages: (1) Preliminary Research, (2) Development or Prototyping Phase, and (3) Assessment Phase. Data collection is carried out using a validity questionnaire sheet that will be given to five validators consisting of three lecturers and two teachers. Two teachers and nine high school phase E students will receive a practicality questionnaire sheet. Data from the research results show that the validity test conducted by five validators obtained a valid category score with a validity value of 0.89. The results of the practicality test on students obtained a score of 93% with a very practical category, and the value of the practicality test on the chemistry teacher was 92% with a very practical category. Teaching Materials to Support the Merdeka Curriculum Learning on Global Warming Caused by Human Activities Material are included in the valid and practical categories.

Research on autonomous decision-making technology for once-through steam generator

In this paper, the innovative research of the autonomous control system of the once-through steam generator (OTSG) is carried out, which is mainly aimed at the normal operating condition, especially the fault condition when the operating characteristics of the system change dramatically. The autonomous control system includes fault diagnosis, autonomous decision-making, hybrid control modules. The ISSA algorithm is applied in the research of autonomous decision-making modules because of its strong ability of optimization and fast convergence. This paper improves the SSA algorithm from two aspects: population initialization and finder position update and the optimization ability. The simulation results show that the autonomous control system proposed in this paper can make a decision in the shortest possible time, and provide an effective automatic control method to make the OTSG quickly and smoothly reach the safe state.

The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson's disease.

Parkinson's disease is a neurological disorder that can cause gait disturbance, leading to mobility issues and falls. Early diagnosis and prediction of freeze episodes are essential for mitigating symptoms and monitoring the disease. This review aims to evaluate the use of artificial intelligence (AI)-based gait evaluation in diagnosing and managing Parkinson's disease, and to explore the potential benefits of this technology for clinical decision-making and treatment support. A thorough review of published literature was conducted to identify studies, articles, and research related to AI-based gait evaluation in Parkinson's disease. AI-based gait evaluation has shown promise in preventing freeze episodes, improving diagnosis, and increasing motor independence in patients with Parkinson's disease. Its advantages include higher diagnostic accuracy, continuous monitoring, and personalized therapeutic interventions. AI-based gait evaluation systems hold great promise for managing Parkinson's disease and improving patient outcomes. They offer the potential to transform clinical decision-making and inform personalized therapies, but further research is needed to determine their effectiveness and refine their use.

Rethinking circularity with Re-refineries and supply chains reintegration via multi-objective pareto graph theoretical approach

Amidst the global effort in energy transition from fossil fuel remains a challenge for the heavily dependent oil and gas (O&G) industry. Thus, the circular economy (CE) concept offers a viable approach to improve the long-term sustainability of the O&G industry while transitioning toward sustainable development. This research proposed the re-refinery strategies to attain circularity within the O&G industry. Two models are developed to address the strategy decision on both Meso (re-refinery technology decision optimization via P-graph approach) and Macro (supply chain optimization via mixed-integer linear programming (MILP)) perspectives. The re-refining of waste oil utilizing membrane ultrafiltration followed by hydrofinishing is favoured in both cases for its economic potential contributed by its higher production yield (89.94 wt%) compared to distillation (77.12 wt%) pathway. Overall, the re-refining strategy suggest promising improvement in both economic (27.17% lower cost) and environmental (55.35% lower emissions) performance. The addition of in-situ lubricant blending incurred a 4.49% reduction in total cost of the supply chain as compared to the base case with primary reduction (31.48%) in transportation. This study reveals the potential of re-refining approach which serves as guidelines for decision-makers and researchers to strengthen CE practice in modern O&G industry.

A Reflection Note on Applying Quantitative Decision-Making Approaches to Engineering Management

Engineering management is a project management activity full of information composed of specific engineering technology and different social factors. The basic knowledge of quantitative decision-making technology and management economics is conducive to project decision-making, project investment, financing in engineering construction, and real estate. With the development of modern engineering management, quantitative decision-making has become increasingly important. This article discusses quantitative decision-making's significance, importance, and potential limitations in engineering management activities. Different quantitative decision tools have other effects on engineering management and technical management. This article also suggests that effective engineering management needs to combine scientific quantitative analysis methods and quantitative decision-making tools and comprehensively consider the engineering implementation background, the project's technical requirements, and resource sources.

The environmental and economic case for valuing water recovery and its relationship with tailings storage conservation

Alternative tailings disposal methods such as dry stack are often neglected as optimal mine waste disposal methods due to perceived high cost. However, the transition from traditional wet tailings disposal to dry stack and alternative tailings disposal is critical for decreasing freshwater consumption and de-risking projects. This research presents an open-source techno-economic model which allows for the comparison of water use and cost between different tailings disposal-related equipment, addressing a major gap in models available for operators and early technology decision-makers. A case study of a Chilean copper mine is evaluated through the model to optimize the dewatering equipment choice. The findings indicate a substantial technical, environmental and economic return on the thickener control system and hydro-cyclone compared to desalinated and pumped water. Early economic modeling can quickly develop a business case for new water and energy-saving technologies while creating shared de-risked technical, ESG, and business team drivers.

Method of forecasting quality indicators of coal within the mining area

Purpose. Increasing the reliability of forecasting quality indicators of mined coal depending on the mining and geological conditions of its occurrence. The methods. Applied analytical and calculation methods of research, in particular simulations-not modeling, methods of statistical analysis. The Auto-Cad automated design and drawing system was used to create a three-dimensional model of the explored part of the reservoir, and the Google Collaboratory virtual computer laboratory with additional libraries was used to calculate mathematical dependencies. Findings. A methodology for determining the operational ash content of mined coal has been developed, taking into account the change in the hypsometry of the formation, its geological capacity, and the parent ash content of the coal. A regression analysis of the mining and geological parameters of the stratum c42 of the Samarska mine of PJSC DTEK Pavlogradvu-hill was carried out, as a result of which mathematical and simulation models of its stratum were created. A heatmap diagram of changes in operational ash content within its boundaries was constructed for a specific mining pillar. It was established that at the beginning of the development of the pillar, coal with an operational ash content of 25-27% will be mined and will gradually decrease to 21%. The average ash content within the excavation column is 24%. The reserves of coal that will be produced during the development of the pillar and the volumes of cut waste rock have been determined. The originality. A methodology for determining quality indicators is proposed depending on the mining and geological parameters of the deposit and the technological parameters of its development. The dependence of the operational ash content of the coal seam being developed on the parameters of its occurrence and parent ash content has been established. Practical implementation. The developed technique allows to quickly determine the quality indicators of coal and the parameters of its occurrence at various points of the mining pillar, which ensures the validity of technological and technical decisions related to its development.

Current Status of Technological Innovation Cluster Research

The research on innovation clusters has become the focus of academic research and scientific and technological decision-making of governments around the world. The construction of innovation clusters is of great significance to cultivate strategic emerging industries, enhance regional innovation capacity and promote the transformation of economic development mode. However, at present, the theoretical research on technological innovation clusters is not deep enough, and the theoretical framework is still not clear. On the basis of literature research, this paper starts with the concept of innovation cluster, associates it with technology cluster, and jointly introduces the origin and concept of technology innovation cluster. Based on the analysis of various literature, the shortcomings of the current research on technology innovation cluster and the direction of the next research are pointed out.

EXPERIENCE OF INFORMATION MODELING OF THE DYNAMICS OF THE DEFORMATION PROCESSES OF THE SOIL MASSES OF THE DOME OF THE DOMESTIC WASTE LANDFILL

It is known that subsidence of the dome surface of solid waste landfills is not a natural and expected process, and the dynamics of sedimentation, complicated by the presence of filtrate, has not been studied. The recommended terms of reclamation of closed landfills for different climatic zones, which are 2 years, in the presence of leachate, do not guarantee stabilization of the landfill surface sufficient to move heavy equipment during the formation of the landfill dome during reclamation works.The need for immediate reclamation in conditions that do not ensure the stability of the landfill surface requires the application of additional compensatory measures for the safety of work, taking into account the dynamic state of its surface. Their development is possible by performing a comparative analysis of calculated and actually obtained data on the dynamics of deformation processes of the dome of the landfill, namely its surface and body, taking into account the multicriteria influence of internal and external factors of manmade and natural nature. Development of compensatory organizationaltechnological and technical solutions to minimize the negative impact of liquid fraction (leachate) in the solid waste on the stability of the landfill dome is possible by predicting physical processes that occur during reclamation using digital information modeling of dome surface stability.The general method of scientific substantiation and research of factors of influence and compensatory organizationaltechnological decisions of landfill reclamation is based on analysis and synthesis of components of conditional idealized, information model of landfill dome taking into account factors of internal and external influence on its stability, physicaltechnical and organizationaltechnological characteristics.The experience of information modeling of the dynamics of deformation processes of soil massifs on the example of the dome of the landfill in the village. Pidhirtsi, Obukhiv district, Kyiv region, in order to study the multicriteria influence of manmade and natural factors for comparative analysis of calculated and actually obtained data of deformation processes, as well as scientific substantiation of organizational and technological solutions of reclamation in dynamic landfill conditions.These calculations are intermediate. They are designed to test the possibility of using the developed model "Reconstruction and technical reequipment of the solid waste landfill №5 in the village. Pidhirtsi, Obukhiv district, Kyiv region. Reclamation of site № 1 "to predict the behavior of the surface and the body of the landfill in the presence of dynamic influences. In the next stages of research, it is advisable to improve the model taking into account the additional identified factors of influence, both in retrospect and at the moment, which will bring it closer to the level of the digital twin.

Measuring ethics level of technological topics using phylogenetic tree

ABSTRACT This study attempted to construct a finance AI technology phylogenetic tree that represents the evolutionary pattern of finance AI technology and quantitatively measures the level of ethical attributes in the tree’s technological topics. Based on the tree, it was confirmed that the finance AI technology field is evolving in the direction of three research topics in 2021: deep learning, machine learning, and decision-making technology. Through NLP methodology, we proposed a model to measure the extent to which fairness, human right and normality, transparency and accountability, privacy and security, explainability, and performance guarantees are discussed among these topics. Results confirmed that explainability and performance guarantees were mostly discussed in the case of deep learning technology, privacy and security in the case of machine learning technology, and human rights and normality in the case of decision-making technology. Additionally, it was confirmed that the discussion on fairness in the overall finance AI technology field was low, suggesting that this discussion should be supplemented. The model presented in this study makes an important contribution in that it is capable of detecting the evolutionary direction of AI technology and quantitatively analysing their ethical attributes.

Разработка типовых архитектур цифровых двойников производственно-логистических систем машиностроительных предприятий на разных стадиях их жизненного цикла

Information technology improvement is changing approaches to managing the product and complex systems life cycle, as well as the methods used in studying the complex processes. Recently, digital twins of objects, processes and systems are being increasingly developed, which involves creation of their virtual copies that could be used to investigate and predict behavior of the object in question. Generalized architecture of digital twins of objects, which include products, processes and systems, is provided. Issues of building digital twins for a mechanical engineering enterprise are outlined. It is shown that it becomes possible to design and develop a multicity of digital twins for various objects of the same mechanical engineering enterprise, each of them would solve its specific problems. The paper considers digital twins of the mechanical engineering enterprise production and logistics system, its typical architecture and digital twin alteration at various stages of its life cycle. It is shown that building digital twins of the production and logistics system at various stages of its life cycle provides support in making organizational and technological decisions in order to increase efficiency of the production and logistics system. Main classes of the information systems used to build digital twins of the production and logistics system at the design and operation stages are described.

Water Crisis in India: Concept of Nexus-Regional Solution

In India, which ranks first in the world in terms of population size in 2023, rapid technological and economic development is combined with an increased scarcity of natural resources, which is especially acute in the lack of water resources. Increase of water consumption (90% of water is consumed by irrigation and agriculture), growing competition for water resources from energy, industry, urbanization, etc. require a transition from sectoral water use management to management based on the concept of nexus (latin)–linkage between sectors. The central is Water–Energy–Food nexus which has been studied since the early 2010s. In developing the new National Water Policy of India, attention is focused on the development of the Water–Energy–Food production nexus. The article is based on a review of scientific publications, a critical analysis of forecasts and scenarios, and the use of statistical databases. The most acute problems of water availability and rationalization of its use are discussed at the state level and at the level of large river basins (project “Pure Ganges”). Technological and managerial decisions made in India aimed at rationalizing water use based on an unsophisticated approach are considered. A new driving force is the accelerated development of renewable energy sources. The problems of the Water–Energy–Food production nexus can be successfully solved only in the context of integral regional development, which becomes more complicated under the climate change.

Information Communication Technology (ICT) and Organizational decision making of Federal Parastatals in Nigeria

The study investigated information communication technology (ICT) and organizational decision making of Federal Parastatals in Nigeria. Specifically, the study sought to: investigate the relationship between mobile phone communication technology and organizational decision making; identify the relationship between e-mail communication technology and organizational decision making and ascertain the relationship between video and web conferencing communication and organizational decision making. Research design for this study was descriptive survey. Study area was Enugu. The sample size of 323 respondents was drawn from population 5690 employees from selected federal Parastatals namely Federal character commission, Federal fire service, Federal housing authority, National Bureau of statistics. The instrument of data collection was questionnaire. The data analytical techniques were arithmetic mean, standard deviation and correlation statistics. The empirical results show that mobile phone communication has significant relationship with organizational decision making of Federal Parastatals in Nigeria (r-statistic = 0.761; P-value < Sig-value (0.05); e-mail communication has significant relationship between e-mail communication with organizational decision making of Federal Parastatals in Nigeria (r-statistic = 0.750; P-value < Sig-value (0.05) and video and web conferencing communication has significant relationship with organizational decision making of Federal Parastatals in Nigeria (r-statistic = 0.890; P-value < Sig-value (0.05). The study concluded that information communication technology (ICT) has positive and significant relationship with organizational decision making of Federal Parastatals in Nigeria. The study recommended that management of federal parastatals should increase training of employees in ICT utilization should be adequately carried out hence operational efficiency, quality service delivery, sustainable competitive advantage and improved performance will be the outmost benefits to be derived.