Strategic Methodology Research Articles

ENNEAGRAM YOLUYLA ORGANİZASYONEL PERFORMANS: STRATEJİK PLANLAMA - YÖNETİM KARARI - OPERASYONEL KONTROL

Expertise is a primary tool for designing and building a variety of intelligence systems within and between organizations. Organizations are structured with different design management strategies and decisions depending on their strategic planning and operational control. Enneagram is the strategic methodology to create an open vision when old traditional methods do not meet today's problems on a global scale. This paper aims to present a framework for organizations in their operational control, managerial decision-making, strategic planning, and interactive processing. Enneagram strategies are tools to understand and increase organizational performance based on the dynamics between informed managerial decisions, operational control, and strategic planning. It will also discuss how cognitive strategies of associative thinking can contribute to an innovative development process.

Digital twin implementation approach in supply chain processes

Integrating technology and data throughout value chains is critical for achieving efficiency. Smart technologies that enable innovation and continuous improvement are key to long-term success. Modelling and simulation of business processes help to better understand existing systems and optimize processes. However, current approaches to digital transformation tend to focus solely on outcomes rather than the strategic methodology needed for successful implementation, resulting in differing valuations of solutions investments. This paper's significant contribution is introducing a new conceptual implementation method for digital twin technology in supply chain processes. This methodology enables technology and system evaluation at the process study stage, and a stylized business case demonstrates its application in a real-world scenario involving digital twin integration into order fulfilment in a manufacturing factory using Business Process Modelling Notation (BPMN) to simulate "As-Is" and "To-Be" processes.

The Phenomenon of Emergency in Socio-Economic and Strategic Aspects

The article is devoted to the analysis of the structure and content of socio-economic crises as manifestations of emergencies and corresponding periods. With the help of general scientific and special methods, including comparative, the author reveals the evolution of crisis phenomena in the economy in relation to emergency periods, essentially reflecting the phenomenon of emergency. The historical analysis of economic crises is illustrated by the graphs of the impact of crises on basic economic indicators compiled by the author. The author’s definition of the concept of “emergency period” is given with the specification of the phenomena of its components (situation, situation, circumstance, incident). On the basis of V.L. Kvint’s strategic methodology, the necessity of strategizing the emergency period from the point of view of prevention, overcoming and getting out of it is substantiated. At the same time, the author believes that economic crises from their inception to their peak are essentially extraordinary periods that require appropriate strategizing according to the phases of the economic cycle: strategies for crisis prevention, prevention or mitigation of depression, as well as ensuring the revival of the economy with an exit from a particular emergency period.

Biosynthesis approach of copper nanoparticles, physicochemical characterization, cefixime wastewater treatment, and antibacterial activities

The aim of this paper is the green synthesis of copper nanoparticles (Cu NPs) via Quinoa seed extract. X-ray diffraction (XRD) results confirmed the production of the pure crystalline face center cubic system of the Cu NPs with an average crystallite size of 8.41 nm. Infrared spectroscopy (FT-IR) analysis confirmed the capping and stabilization of the Cu NPs bioreduction process. UV visible spectroscopy (UV–Vis). surface plasmon resonance revealed the absorption peak at 324 nm with an energy bandgap of 3.47 eV. Electrical conductivity was conducted assuring the semiconductor nature of the biosynthesized Cu NPs. Morphological analysis was investigated confirming the nano-characteristic properties of the Cu NPs as polycrystalline cubic agglomerated shapes in scanning electron microscopy (SEM) analysis. Transmission electron microscopy (TEM) analysis also was used to assess the cubic shapes at a particle size of 15.1 ± 8.3 nm and a crystallinity index about equal to 2.0. Energy dispersive spectroscopy (EDX) was conducted to investigate the elemental composition of the Cu NPs. As a potential utility of the biosynthesized Cu NPs as nano adsorbents to the removal of the Cefixime (Xim) from the pharmaceutical wastewater; adsorption studies and process parameters were being investigated. The following strategic methodology for maximum Xim removal was conducted to be solution pH 4, Cu NPs dosage 30 mg, Xim concentration 100 mg/L, and absolute temperature 313 K. The maximum monolayer adsorption capacity was 122.9 mg/g according to the Langmuir isothermal model, and the kinetic mechanism was pseudo-second-order. Thermodynamic parameters also were derived as spontaneous chemisorption endothermic processes. Antibacterial activity of the Xim and Xim@Cu NPs was investigated confirming they are highly potent against each Gram-negative and Gram-positive bacterium.

Proposed Framework and Method for Integrating Risks into an Organizational Setting

Enterprise risk management (ERM) is a systematic approach that strategically assesses risk management from a holistic standpoint, including the whole company or enterprise. The aforementioned approach is a top-down strategic methodology designed to detect, evaluate, and proactively address possible risks, threats, hazards, and other sources of damage that have the potential to impede an organization's operations and goals, or result in negative outcomes. ERM is a prominent framework that assists businesses in the identification, evaluation, and management of hazards at the enterprise level. Scholars identified many elements that serve as motivators for enterprises to participate in the process of ERM. These reasons include the likelihood of encountering financial hardship and the subsequent expenses, subpar profits performance, potential development prospects, and the autonomy of the board. The implementation of an effective risk management plan might potentially serve as a competitive advantage for organizations, facilitating their growth. This elucidates the extensive corpus of research devoted to ERM. This paper examines the fundamental connections between Enterprise Architecture and Risk Management, and presents a proposed architectural framework for effectively incorporating risk considerations within the broader organizational context. This article presents a proposed strategy for attaining a comprehensive and shared perspective on hazards throughout an organization.

Urban Art and Digital Technologies for Autopoiesis in Citizen Tourism

This research proposes a “conversation” that connects urban art and digital technologies for autopoiesis of citizen tourism, through observations of artistic interventions that use the city as support and spread on cyberspace. In this study, we will develop a discussion from the gables’ graffiti of Elevado Presidente João Goulart in São Paulo, a place also known as “Minhocão”. The general objective of this study is to reflect on how the combination of urban art and digital technologies can contribute to an autopoietic reinvention of citizen tourism. In this way, the specific objectives are: a) discuss the autopoiesis concept in relation to citizen tourism; b) discuss the relationship between urban art and digital technologies for citizen tourism. The theoretical references concerning urban art are based on Pesavento (2007), Eckert and Rocha (2016), Harvey (2012), and Campos (2021). To approach digital technologies, the principal references are Lévy (2010), Kerckhove (1997, 2003), and Taufer (2020). The autopoiesis concept had as a theoretical substrate the thought of Maturana and Varela (2003), Luhmann (1992, 2009), Guattari (1992), and Baptista (2015), while the tourism approach is established by Gastal (2006), Baptista (2020) and Moesch and Beni (2016). This study is guided by Cartography of Knowledge (Baptista, 2014), a strategic methodology that is divided into four trails, explored simultaneously by researchers: Personal Knowledge, Theoretical Knowledge, Production Plant, and Intuitive Research Dimension. In terms of preliminary results, it was perceived that the association between urban art and digital technologies shows new autopoietic constructions between the subject and the tourist citizen. The art interventions create agencies that shift the tourist citizen of their routine, thus they share their new perceptions of the city through digital technologies.

Efficacy of Medicinal Woods/trees Vis-a-Vis Environmental Pollution

Woods/trees a lovely, non-demanding, and most kind entity on our earth. All living beings on this planet depend on the wood/trees in some prospective. As they fight against not only against the diseases but tackles environmental pollution which is brought on by increased industrialization, excessive use of chemicals and plastics. Wood/trees play a crucial role in maintaining a healthy atmosphere and stabilize our climate. By limiting the passage of dangerous pollutants and dust particles, wood/trees also enhance the quality of the air. Few medicinal wood/trees, by virtue of their brilliant purifying abilities and therapeutic advantages, beyond treating diseases plays a significant role in the management of environmental pollution. Woods/trees by consuming carbon dioxide by the process of photosynthesis in potentially diminish environmental pollution by locking up the carbon which is caused by the burning of fossil fuels. Ancient System of Medicine, Ayurveda also has suggested to plant trees like Emblica officinalis Gaertn., Cedrus deodara Roxb. etc. and herbs like Ocimum sanctum Linn. to encounter environmental pollution. The present study will discuss strategic methodology of selected woods/trees in context to traditional synonyms mentioned and their mode of action to tackle environmental pollution.

A Deep Learning for Alzheimer’s Stages Detection Using Brain Images

Alzheimer’s disease (AD) is a chronic and common form of dementia that mainly affects elderly individuals. The disease is dangerous because it causes damage to brain cells and tissues before the symptoms appear, and there is no medicinal or surgical treatment available yet for AD. AD causes loss of memory and functionality control in multiple degrees according to AD’s progression level. However, early diagnosis of AD can hinder its progression. Brain imaging tools such as magnetic resonance imaging (MRI), computed tomography (CT) scans, positron emission tomography (PET), etc. can help in medical diagnosis of AD. Recently, computer-aided diagnosis (CAD) such as deep learning applied to brain images obtained with these tools, has been an established strategic methodology that is widely used for clinical assistance in prognosis of AD. In this study, we proposed an intelligent methodology for building a convolutional neural network (CNN) from scratch to detect AD stages from the brain MRI images dataset and to improve patient care. It is worth mentioning that training a deep-learning model requires a large amount of data to produce accurate results and prevent the model from overfitting problems. Therefore, for better understanding of classifiers and to overcome the model overfitting problem, we applied data augmentation to the minority classes in order to increase the number of MRI images in the dataset. All experiments were conducted using Alzheimer’s MRI dataset consisting of brain MRI scanned images. The performance of the proposed model determines detection of the four stages of AD. Experimental results show high performance of the proposed model in that the model achieved a 99.38% accuracy rate, which is the highest so far. Moreover, the proposed model performance in terms of accuracy, precision, sensitivity, specificity, and f-measures is promising when compared to the very recent state-of-the-art domain-specific models existing in the literature.

Evaluating the Influence of EA Capabilities on Digital Transformation in the Ministry of Finance of Indonesia

Enterprise Architecture (EA) has been adopted by the Ministry of Finance (MoF) of Indonesia since 2018 as a strategic methodology to achieve the MoF's organizational goals more effectively and efficiently by defining, mapping, aligning and integrating business domains, data, applications and technology. EA's role in digital transformation is listed in the MoF's EA Vision, namely as an orchestrator who accelerates and harmonizes digital transformation in the MoF and focuses on outcomes. However, a number of stakeholders considered that the value provided by EA to support the MoF's digital transformation was considered not optimal. This is allegedly caused by the insufficient maturity level of the MoF's EA capability. The purpose of this paper is to analyze the perceptions of the MoF's EA Team on the maturity of EA capabilities and their influence on the MoF's digital transformation. The methodology used in analyzing this effect is the Partial Least Square Structural Equation Model (PLS-SEM). The research findings demonstrate that the MoF's EA capabilities, categorized into enabler capability and utilization capability, have a significant positive influence on the digital transformation within the MoF.

Formulations of the elastodynamic equations in anisotropic and multiphasic porous media from the principle of energy conservation

Abstract Elastodynamic equations have been formulated with Newton's second law of motion, Lagrange's equation, or Hamilton's principle for over 150 years. In this work, contrary to classical continuum mechanics, a novel strategic methodology is proposed for formulating general mechanical equations using the principle of energy conservation. First, based on Hamilton's principle, Hamilton's equations, Lagrange's equation, and the elastodynamic equation of motion are derived in arbitrarily anisotropic and multiphasic porous elastic media, for the first time. Secondly, these equations are all formulated using the principle of energy conservation for the related media. Both formulation results using the two kinds of principles are compared and validated by each other. The advantages of our methodology lie in that the elastodynamic equation of motion, Lagrange's equation, and Hamilton's equations in continuum mechanics are directly formulated using a simple constraint of energy conservation without introducing variational concepts. It is easy to understand and has clear physical meanings. Our methodology unlocks the physics essences of Hamilton's principle in continuum mechanics, which is a consequence of the principle of energy conservation. Although the linear stress–strain constitutive relation is considered, our methodology can still be used in a nonlinear dynamical system. The methodology also paves an alternative way of treating other complex continuous dynamical systems in a broad sense. In addition, as an application, the continuity conditions at various medium interfaces are also revisited and extended using our proposed approach, which explains the law of reflections and refractions.

Industry 4.0 technologies and Lean Production Combination: A Strategic Methodology Based on Links Quantification

The current environment faced to economy and sustainability requirements brings to the fore two paradigms sustaining the industrial performance: Lean Production (LP) and Industry 4.0 technologies (I4.0). Whatever business the companies run they have to consider the benefits of both. The methodology of this paper is based not only upon combined analysis identifying nature of links but also on quantifying these links in order to provide a dashboard with Key indexes helpful for decision makers. It involves a strategic method to figure out the technologies and Lean tools deployment priority. It consists in an attempt to quantify links providing a method based on Layers analysis for modular implementation and an approach to settle calculation of an actionable elements. Indicators comes out for strategy deployment: Index of relevancy and Index of coverage. They are built to increase the visibility, followed by modular implementation proposal and Expansion indexto allow monitoring. At the end, the industrial managers initially attempting to deploy Lean and industry 4.0 with reserve impressed by these giant transformations, will beneficiate of a structured roadmap (algorithm-based) culminating to the priority of the implemented tools and technologies.

ISUC: IoT-Based Services for the User’s Comfort

Emotions are alluded to as characteristic intuitive perspectives from certain conditions or temperaments. IoT applications can help in routine tasks and businesses. Most advances have not been taken advantage of regarding emotions. Emotions could be detected via the data gathered through IoT. Our investigation of related works revealed an absence of strategic methodologies in planning IoT frameworks according to feelings and shrewd alteration rules; thus, we present a philosophy that can rapidly assist in planning an IoT framework in this situation, where the identification of users is significant. We applied the proposed phases to test an IoT recommender framework named ISUC. The framework involves anticipating a user’s future emotions by utilizing boundaries gathered from IoT gadgets. It suggests new exercises for the user to obtain the ‘last’ state. Experimental results confirm our recommended framework has achieved over 85% exactness in anticipating users’ emotions in the future. The examination results presumed that an IoT-based framework could be created to detect positive emotions (e.g., peace, concretism, patience, enjoyment, and comfort) and negative emotions (e.g., irritation, abstraction, impatience, displeasure, and discomfort) to incite good emotions.

Analysis of strategic methodologies in the initial education during the Covid-19

The present work is an exploratory and descriptive study of the methodological strategies implemented by teachers working online in five educational institutions during the COVID-19 pandemic. The study is based on the review of an extensive bibliography and the use of quantitative and qualitative methods.Parents and students answered a survey with in-depth structured questions. Results showed that although parents were unhappy with the teaching methodologies used, teachers were highly motivated and committed to their teaching practice.

The Need for Improved Recruitment to Neurosurgery Training: A Systematic Review of Enrollment Strategies.

Neurosurgery is one of the cornerstones corresponding to a large scope of clinical pathologies and is a highly-regarded surgical specialty. However, there has been a decline in recruits into the neurosurgical residency due to many factors derailing the interest of medical students with an ambition to become neurosurgeons. Some of these issues encompass little or lack of early exposure to neurosurgery, lack of quality mentorship programs, and institutional curriculum entailing prolonged periods of training and study in neurosurgery. Therefore, this systematic review and meta-analysis aim to establish some strategic methodologies for increasing the recruitment to neurological surgery. Neurosurgery is an interestingly exciting specialty that integrates cutting-edge technology allowing for diversified subspecialization with an exceptional degree of variety. Nevertheless, several factors such as the duration of the required training, the kind of lifestyle, lack of early exposure to neurosurgery, and lack of mentors to a vast of medical students across the globe have curtailed the recruitment to neurological surgery. Despite an increased number of female representations in medical surgery, there has been a reported increase in students matching into neurosurgery, although the number is relatively below the expectation due to the factors highlighted earlier. As a result, many studies and surveys have been conducted to identify ways of improving neurosurgical recruitment.Five electronic databases, including PubMed, Science Direct, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Google Scholar, MEDLINE, and Cochrane Library, were searched to provide pertinent information to the topic of study in strict compliance with the PRISMA (Preferred Reporting Items for Systematic Review and Meta-analysis) guidelines. Meta-analysis was then conducted on the included studies to determine their correlations based on the individual outcomes of each study. A total of 2,134 search results were obtained, screened, and reviewed against the exclusion and inclusion criteria to remain with 12 included studies detailing improving the recruitment to neurosurgical residency. The 12 studies were retrieved for their study characteristics based on the PICO (predetermined patient, intervention, control, and outcome) standards. Most of the studies were surveys (n = 8), retrospective and prospective studies (n = 2), and pilot and multifocal studies making up for the rest (n = 2). Several neurosurgery aspects need consideration to improve the recruitment of medical students to neurosurgical fields. Medical institutions, specialists, and other stakeholders should consider reconstructing the neurosurgical curriculum to ease the prolonged study time as well as to create and encourage structural programs aimed at acquainting medical students in neurosurgery and involving the students in conducting other research projects. In addition, mentorship programs and early exposure of medical students to neurological surgery play a key role in influencing the medical students' interest in choosing neurosurgical career paths.

Towards a Strategic Methodology for Developing Heritage and Archaeological Sites to Support Tourism A Comparative study between Local and Arab Experiences

Towards a Strategic Methodology for Developing Heritage and Archaeological Sites to Support Tourism A Comparative study between Local and Arab Experiences

Ansoff’s Strategic Turbulence Model: Why It’s Important to Marketing Strategy

The purpose of this paper is to briefly introduce the reader to Ansoffian strategy and the concepts of environmental turbulence and examine their impact on marketing strategy. The authors overlay Ansoff’s identification of turbulence levels to marketing strategy as a dynamic synergy of management processes and innovation which depends on a firm’s posturing to address marketing aggressiveness and environmental turbulence. 
 
 Within the environmental turbulence model, Ansoff puts forth that the third level is where marketing becomes a critical functional activity of strategic success and where customers and competitors are factors in the environmental turbulence. Advancing to levels four and five, firms must now integrate the latest technologies and processes required to facilitate and create innovation in response to a faster-moving, dynamic, and surpriseful environment. Ansoff described the changing turbulence levels as increasing unpredictability, novelty, and complex, especially when considering movement from his level four (exploring) turbulence level to a level five (creative and “surpriseful”). 
 
 When the environment shifts to the highest level of disruption-discontinuity where change is occurring faster and more surpriseful, a firm must adopt a heightened level of strategic aggressiveness into the organizational structure and rapidly adapt marketing postures and strategies to reposition the firm’s marketing mix to optimize opportunities and mitigate change threats. Through the lens of discontinuous environmental turbulence, the authors explore recent and extant research and unravel how new strategic marketing principles align with the foundational tenets of Ansoff’s strategic diagnosis and gap analysis methodology by analyzing the internal environment and comparing it to the external environment. Additionally, the researchers explore how the greater the “gap” between capabilities and marketing strategy, the more the firm needs to perform a realignment of itself to mitigate the impending effects of the environmental turbulence pressures.

Strategic development methodologies — a systematic approach

Strategic development is presented as an organic set of functional elements — development strategies at successive time intervals of development and their connections. Strategic planning of an organization is presented as a set of individual functional elements and their links, focused on achieving the goal. From an organizational point of view, strategic planning is presented as a time-structured project that develops over time and contains a strict sequence of elements (stages). Financial planning is an infrastructural element in the strategic planning system. The basic principles on which the methodology of the project presentation of the strategic development of the organization is based as a systematic way of economic thinking are formulated.

Climate change and coastal vulnerability assessment methods: A review

Coastal and marine ecosystems have been threatened at local and global scales by multiple stressors – sea-level rise, rising temperatures, climate extreme events, biodiversity loss and habitat destruction. These stressors operating independently or synergistically could alter the ecosystem services while posing a significant threat to the environment, human lives and properties, as well as, result in biophysical and socio-economic losses. In this paper, we present an overview of the methods used in assessing coastal vulnerability of marine areas at local-global scales under chronic environmental stressors. Integrated and strategic methodologies that could identify, highlight and prioritise the vulnerable marine areas have been presented. The framework to assist coastal planners and managers in the conservation and management of vulnerable coastal regions and settlements from permanent inundation and loss have been suggested.

A Highly Sensitive Mercury Ion Sensor Based on Solid-Liquid Contact Electrification

In recent years, triboelectric nanogenerators (TENGs) are proved to be as the prime backbone for developing a self-powered sensing system. However, solid-solid contact electrification based nanogenerators suffer mostly due to inefficient contact which poses a major bottleneck for the development of long term durable and stable nanosensors. In this regard, we have reported a strategic methodology to develop a highly sensitive mercury ion sensor based on solid-liquid contact electrification, which has prime importance for the self-powered monitoring of mercury ion due to its high health risk and environmental pollution toxicity. In this work, 3-mercaptopropionic acid (MPA) capped Au nanoparticles (NPs) are employed as the solid friction layer as well as the recognition element for mercury ion detection. In addition, volatile organic solvent acetone is utilized as the contact liquid instead of water. The developed nanosensor exhibits long term stability and contact frequency independent sensing performance compared to previously reported solid-solid triboelectric nanosensors (TENS) for mercury ion detection. The large binding affinity of Hg2+ and the carboxylic groups results in the increase of transferred charges and enhanced surface potential. It is interesting to observe that the work function reduces after the binding of Hg2+ ions onto MPA molecules, which is also favorable for electron transfer during the contact electrification process. The developed nanosensor can provide a wide linear detection range from 10 nM to 1 μM as well as a low detection limit of 10 nM. As a whole, this work demonstrates a novel paradigm for designing a rapid, low-cost, and portable self-powered sensing system for real time highly selective monitoring of mercury ion from complex environmental samples.

The Quality Enhancement Research Initiative (QUERI) Impact Framework: Measuring the Real-world Impact of Implementation Science.

Measuring the health, economic, and cultural gains generated by scientific investments is crucial to reducing waste and improving quality of care. To date, there is no comprehensive framework for assessing the multi-faceted contributions of implementation and quality improvement sciences towards quality, cost, and patient and provider experiences in health systems. We describe the Quality Enhancement Research Initiative (QUERI) Impact Framework and its application to QUERI investments. The QUERI Impact Framework adapts and expands on metrics from the National Academy of Medicine, incorporating lessons learned from QUERI initiatives. The cross-cutting impact metrics reflect QUERI's strategic methodology across five domains of impact (Alignment, Commitment, Tailoring, Informing the field, Observing healthcare changes and generating New questions/projects or ACTION). Key impact metrics, including the number of implementation facilities, number of staff trained, and number of patients served, were derived directly from health system performance plan goals. QUERI applied the Framework by conducting iterative rapid assessments of impacts for QUERI Program centers, which are implementation laboratories that support 3-7 initiatives aligned with a cross-disciplinary goal addressing a national priority. From October 2015 to September 2019, QUERI Programs supported implementation of 49 evidence-based practices and promising innovations across 465 facilities, including 15 facilities that are experiencing quality gaps. As part of these implementation efforts, the programs worked with 71 operations partners to develop 71 tools/toolkits/manuals and support training of 5147 VA staff, serving 250,159 Veterans. The QUERI Impact Framework aligns multiple stakeholders at different levels of a health system around common metrics, which cross implementation science and quality improvement boundaries. The Framework supports a comprehensive assessment of the short-term and distal impacts of implementation efforts in a health system, allowing both research and operations leadership to understand the value of implementation and quality improvement investments to inform program and policy decisions.