Key Critical Factors Research Articles

Critical factors to adopt sustainable agrifood supply chain management in developing countries: The case of Ethiopian coffee industry

AbstractGlobal agrifood supply chains are under increasing pressure to address sustainability issues due to growing concerns. However, numerous organizations within the agrifood industry are struggling to incorporate sustainable supply chain management practices and address the concerns. Therefore, this research is designed to identify the key critical factors, such as drivers, enablers, and barriers to adopting sustainable practices. This study considers the Ethiopian coffee industry, which is an important sector not only for the Ethiopian economy but also for the global agrifood supply chain. To accomplish the objectives of this study, we applied a systematic literature review and empirical survey. A systematic literature review was conducted to identify critical factors for adopting sustainability in agrifood supply chains. An empirical survey was then undertaken in the Ethiopian coffee industry to rank the key critical factors. Hence, the study has revealed that economic and productivity improvement, cost effectiveness and improvement in the overall performance, and difficulty in mindset and cultural changes as the key critical factors that determine the adoption of sustainability initiatives from the perspectives of the Ethiopian coffee supply chain. The findings can be used as input by government regulatory bodies and policymakers to craft strategies and policies to adopt sustainability initiatives and ensure sustainable development. Furthermore, the research is expected to contribute to the existing literature by bringing in the perspective of suppliers in developing countries.

Fuzzy Cognitive Map for Evaluating Critical Factors Causing Rockbursts in Underground Construction: A Fundamental Study

The rockburst phenomenon in excavation endeavours reveals a multitude of complexities and obstacles that significantly impact both the technical and financial dimensions of project execution. Investigating critical rockburst factors in underground excavations is of considerable importance for addressing pivotal safety issues and operational complexities within the field of underground excavation projects. This research proposes an innovative approach based on an expert-based fuzzy cognitive map (FCM) framework, aiming to identify and prioritize the key critical rockburst factors prevalent in underground excavations and tunnelling. A tailored cognitive map of the parameters of problem was constructed, integrating 56 critical and critical factors meticulously curated by a team of seasoned managers, engineers, deputy managers, trainee engineers and assistant managers. The structured cognitive map was meticulously developed, considering the relative weights of the identified critical factors and their intricate interrelationships—all informed by the invaluable insights and expertise of seasoned engineers in the field. Subsequently, the cognitive map underwent a systematic solution process, whereby the causal relationships and influences amongst the identified critical factors were analysed and factored in. The outcomes of the comprehensive analysis unveiled several critical factors: lack of rockburst risk assessments, high in situ stress, presence of rock seams and weak layers, rock quality variations, and geological heterogeneity as the most paramount concerns demanding immediate attention and strategic intervention. By adopting the proposed FCM approach and leveraging the collective expertise of industry professionals, this research offers a robust and systematic framework for comprehensively assessing and addressing the key challenges associated with rockburst events in underground excavations and tunnelling projects, thereby fostering enhanced project performance and efficacy within the field.

Identification of key potential infection processes and risk factors in the computed tomography examination process by FMEA method under COVID-19

PurposeTo identify the key infection processes and risk factors in Computed Tomography (CT) examination process within the standard prevention and control measures for the COVID-19 epidemic, aiming to mitigate cross-infection occurrences in the hospital.MethodThe case hospital has assembled a team of 30 experts specialized in CT examination. Based on the CT examination process, the potential failure modes were assessed from the perspective of severity (S), occurrence probability (O), and detectability (D); they were then combined with corresponding risk prevention measures. Finally, key infection processes and risk factors were identified according to the risk priority number (RPN) and expert analysis.ResultsThrough the application of RPN and further analysis, four key potential infection processes were identified, including “CT request form (A1),” “during the scan of CT patient (B2),” “CT room and objects disposal (C2),” and “medical waste (garbage) disposal (C3)”. In addition, eight key risk factors were also identified, including “cleaning personnel does not wear masks normatively (C32),” “nurse does not select the vein well, resulting in extravasation of the peripheral vein for enhanced CT (B25),” “patient cannot find the CT room (A13),” “patient has obtained a CT request form but does not know the procedure (A12),” “patient is too unwell to continue with the CT scan (B24),” “auxiliary staff (or technician) does not have a good grasp of the sterilization and disinfection standards (C21),” “auxiliary staff (or technician) does not sterilize the CT machine thoroughly (C22),” and “cleaning personnel lacks of knowledge of COVID-19 prevention and control (C33)”.ConclusionHospitals can publicize the precautions regarding CT examination through various channels, reducing the incidence of CT examination failure. Hospitals’ cleaning services are usually outsourced, and the educational background of the staff employed in these services is generally not high. Therefore, during training and communication, it is more necessary to provide a series of scope and training programs that are aligned with their understanding level. The model developed in this study effectively identifies the key infection prevention process and critical risk factors, enhancing the safety of medical staff and patients. This has significant research implications for the potential epidemic of major infectious diseases.

Understanding the key risks in circular construction projects: from systematic review to conceptual framework

Purpose Circular construction offers sustainable solutions and opportunities to disentangle a project’s life cycle, including demolition, deconstruction and repurposing of architectural, civil engineering and infrastructure projects from the extraction of natural resources and their wasteful usage. However, it introduces additional layers of novel risks and uncertainties in the delivery of projects. The purpose of this study is to review the relevant literature to discover, classify and theorize the critical risk factors for circular construction projects. Design/methodology/approach The paper conducted a systematic literature review to investigate the risks of circular construction projects. It deployed a multistage approach, including literature search and assessment, metadata extraction, citation frequency analysis, Pareto analysis and total interpretive structural modeling. Findings Sixty-eight critical risk factors were identified and categorized into nine broad taxonomies: material risks, organizational risks, supply chain risks, technological risks, financial risks, design risks, health and safety risks, regulatory risks and stakeholder risks. Using the Pareto analysis, a conceptual map of 47 key critical risk factors was generated for circular construction projects. A hierarchical model was further developed to hypothesize the multiple possible connections and interdependencies of the taxonomies, leading to chain reactions and push effects of the key risks impacting circular construction projects. Originality/value This study constitutes the first systematic review of the literature, consolidating and theorizing the chain reactions of the critical risk factors for circular construction projects. Thus, it provides a better understanding of risks in circular construction projects.

After-Sales Services During an Asset’s Lifetime: Collaborative Planning of System Upgrades

We consider a physical asset consisting of complex systems, where the systems may require upgrades during the lifetime of the asset. In practice, the asset owner and system supplier can make the upgrade decisions together, requiring a decision-support model that can be jointly used to optimize the total benefit for both parties. Motivated by a real-life use case including an asset owner and a system supplier, we build a continuous-time model to optimize the upgrade decisions of a system during the fixed lifetime of the asset. In our model, we capture the key critical factors that drive the upgrade decisions: increasing functionality requirements due to evolving technology, age-dependent maintenance costs, a predetermined overhaul plan of the asset, and the lifetime of the asset. A system upgrade is less costly if it is executed jointly with an asset overhaul. We first analyze the case with no additional cost of upgrading outside an overhaul. We analytically characterize the structure of the optimal upgrade policy under various realistic assumptions that lead to different types of cost functions. We then use these results as a building block to characterize the optimal policy for a generalized cost function. When there is a penalty for upgrading outside an overhaul moment, we propose a dynamic programming approach that efficiently determines the optimal upgrade policy by using our analytical results. We also prove that as this penalty increases, the optimal policy can only change to one where the number of upgrades not jointly executed with overhauls is reduced. However, the optimal number of upgrades is a nonincreasing function of this penalty. Also, surprisingly, more overhauls may lead to a smaller number of upgrades under the optimal policy. Funding: This publication is part of the project “Maritime Remote Control Tower for Service Logistics Innovation (MARCONI)” (project 439.18.309) of the research program “Integrator-Logistics as Enabler for Enhancing Society,” which is (partly) financed by the Dutch Research Council (NWO).

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

Unmanned aerial vehicles (UAVs) have proven to be a key solution for nearly automated or smart warehouse operations, enabling receiving, picking, storage, and shipping processes to be timely and more efficient. However, there is a relative scarcity of review studies specifically on UAV-based warehouse management. Research knowledge and insights on UAV applications in this field are also limited and could not sufficiently or practically support decision-making on commercial utilization. To leverage the potential applications and current situation of UAVs, this study provides a systematic literature review (SLR) on UAV adoption in warehouse management. SLR approach was critically conducted to identify, select, assess, and summarize findings, mainly on the two descriptive research questions; what are the past applications of UAV, and what are critical factors affecting UAV adoption in warehouse management? Five key critical factors and 13 sub-factors could be observed. The results revealed that hardware (e.g., payloads, battery power, and sensors) and software factors (e.g., scheduling, path planning, localization, and navigation algorithms) are the most influential factors impacting drone adoption in warehouse management. The managerial implications of our research findings that guide decision-makers or practitioners to effectively employ UAV-based warehouse management in good practice are also discussed.

Designing and implementing smart glass technology for emergency medical services: a sociotechnical perspective.

This study aims to investigate key considerations and critical factors that influence the implementation and adoption of smart glasses in fast-paced medical settings such as emergency medical services (EMS). We employed a sociotechnical theoretical framework and conducted a set of participatory design workshops with 15 EMS providers to elicit their opinions and concerns about using smart glasses in real practice. Smart glasses were recognized as a useful tool to improve EMS workflow given their hands-free nature and capability of processing and capturing various patient data. Out of the 8 dimensions of the sociotechnical model, we found that hardware and software, human-computer interface, workflow, and external rules and regulations were cited as the major factors that could influence the adoption of this novel technology. EMS participants highlighted several key requirements for the successful implementation of smart glasses in the EMS context, such as durable devices, easy-to-use and minimal interface design, seamless integration with existing systems and workflow, and secure data management. Applications of the sociotechnical model allowed us to identify a range of factors, including not only technical aspects, but also social, organizational, and human factors, that impact the implementation and uptake of smart glasses in EMS. Our work informs design implications for smart glass applications to fulfill EMS providers' needs. The successful implementation of smart glasses in EMS and other dynamic healthcare settings needs careful consideration of sociotechnical issues and close collaboration between different stakeholders.

New ways of working scale development and psychometric properties: validation in higher education institutions in the GCC countries

PurposeThis study aims to develop a scale for new ways of working (NWW) in higher education institutions in the Gulf Cooperation Council (GCC) countries. The study also intends to validate the psychometric properties of the developed scale.Design/methodology/approachThis study targeted the academic staff of universities in the GCC region. Out of the 1,200 questionnaires distributed, only 1,016 questionnaires represented valid responses. Because there was not a unified theory for NWW, the authors developed a six-dimension tool that covered all virtual work aspects and psychometrically validated.FindingsThe results of exploratory and confirmatory factor analyses confirmed a structural model of six factors: flexible work location; work–life balance; communication; workplace design at home; culture and motivation; and satisfaction. The model showed a satisfactory fit. The scale consisted of 32 items with a high Cronbach’s alpha value of 0.85, which demonstrated good internal consistency. The results also suggested that the NWW scale had adequate convergent and divergent validity.Research limitations/implicationsThe data for the current study is a cross-sectional that represents a single sector; therefore, it would be more interesting to include more sectors. The study findings contribute to the ongoing debate in feasibility and usefulness of NWW pre, during and post-Covid-19 crisis. This research has offered a new scale for measuring NWW that fits dynamic educational environment where continuous learning and innovation are the key critical factors for survival. For this reason, further future studies need to refine, validate and improve the current scale structure. Also, because the current scale is by no means conclusive, future studies may look at other work characteristics and contextual factors that determine the success of NWW.Practical implicationsPractitioners can use the results of the current study as an intervention tool to leverage NWW acceptance to regain benefits and mitigate negative consequences. In addition, policymakers may use the scale as an evaluation tool to examine the readiness of higher education institutions to counter the COVID-19 crisis.Originality/valueThe originality of this work stems from the fact that it is the first study to develop a scale for NWW and test its psychometric properties in higher education institutions in the GCC countries, a domain that has been ignored by the extant literature.

A REVIEW OF INSTITUTIONAL FACTORS THAT INFLUENCE SMALLHOLDER POTATO FARMERS’ VALUE ADDITION IN DEVELOPING COUNTRIES: IMPLICATIONS FOR UGANDA

The review analyses the Institutional factors that influence potato value addition in Uganda. The review sought to; identify the key critical institutional factors that contribute to supporting the potato value chain, and discuss how these factors can be used to support the development of the value chain in Uganda. The review based on secondary review to come up with findings. It applied a quantitative approach that involved data extraction from sources like online books, journals, reports articles and media. Potato production and value addition in Uganda is primarily performed by numerous players including; farmers/producers, marketers (agents and traders), and processors. These actors determine the volume and quality of traded potato, per capita value added product and price outcomes in the Irish Potato subsector. Though there is a remarkable progress in boosting per capita potato value added product, major players are still restrained by institutional setbacks such as; un-reliable supply of quality seed inputs, fertilizer and pesticide, limited access to credit services, transport infrastructure and transport costs, limited access to market information, services, and technology, lack of storage infrastructure, limited market access, poor market infrastructure, poor organization of the sector, poor legal environment and lack of proper policies related to smallholder farmers. The constraints must be addressed for Uganda to optimally exploit its full potato production potential and upgrade its entire value chain. It is recommended that government together with private sector channel credit facilities through existing farmer groups to increase access to credit through either capitalizing farmer group-level VSLAs or lending to farmer groups instead of individuals. This can enable farmers acquire the necessary equipment needed for value addition. There is also need to upgrade infrastructure and more importantly, community and market stores that support the functionality of the traders who are the key actors throughout the Irish Potato value chain.

Key components and critical factors for developing a telehealth business framework: a qualitative study

BackgroundTelehealth technology and related products can help to solve the problems associated with providing health care services and equal distribution of resources. However, in order to run a telehealth business successfully, key components and critical factors need to be taken into account. A telehealth business framework can provide a rich understanding of these components and factors. Therefore, the present study aimed to identify the key components and critical factors for developing a telehealth business framework from the experts’ perspectives.MethodsThe present qualitative study was conducted in 2020. The participants were 22 experts in the fields of medical informatics, health information management, telemedicine, telehealth, health entrepreneurship, health insurance, and digital health start-ups. In depth semi-structured interviews were conducted to collect data, and the data were analyzed using framework analysis.ResultsFour main themes derived from data analysis. The themes included key components for developing a telehealth business framework, success factors, challenges, and barriers of a telehealth business. Overall, the results indicated that the key components in a telehealth business framework included created value, key resources, key activities, key partners, licenses and permissions, product pricing, revenue, marketing, supporting services, and getting feedback from customers. Although receiving support from different individuals and organizations as well as economic benefits of telehealth services may consider as success factors, there are a number of challenges and barriers which should be taken into account. Otherwise, these factors may hinder the success of a telehealth business.ConclusionsThe development of a telehealth business framework might be an important step towards developing a more complete business plan, facilitating the commercialization of telehealth products, and providing a solution for product sustainability in a competitive market. In the current study, the key components and critical factors for developing a telehealth business framework were identified; however, further research is needed to explore how these components and factors can be helpful in developing business plans and running a successful telehealth business.

Framework for Pharmacy Services Quality Improvement-A Bridge to Cross the Quality Chasm.

To review the literature on the subject of quality improvement principles and methods applied to pharmacy services and to describe a framework for current and future efforts in pharmacy services quality improvement and effective drug therapy management. The Academy of Managed Care Pharmacy produced the Catalog of Pharmacy Quality Indicators in 1997, followed by the Summary of National Pharmacy Quality Measures in February 1999. In April 2002, AMCP introduced Pharmacy's Framework for Drug Therapy Management in the 21st Century. The Framework documents include a self-assessment tool that details more than 250 specific "components" that describe tasks, behaviors, skills, functions, duties, and responsibilities that contribute to meeting customer expectations for effective drug therapy management. There are many opportunities for quality improvement in clinical, service, and cost outcomes related to drug therapy management. These may include patient safety; incidence of medical errors; adverse drug events; patient adherence to therapy; attainment of target goals of blood pressure, glucose, and lipid levels; risk reduction for adverse cardiac events and osteoporotic-related fractures; patient satisfaction; risk of hospitalization or mortality; and cost of care. Health care practitioners can measure improvements in health care quality in several ways including (a) a better patient outcome at the same cost, (b) the same patient outcome at lower cost, (c) a better patient outcome at lower cost, or (d) a significantly better patient outcome at moderately higher cost. Measurement makes effective management possible. A framework of component factors (e.g., tasks) is necessary to facilitate changes in the key processes and critical factors that will help individual practitioners and health care systems meet customer expectations in regard to drug therapy, thus improving these outcomes. Quality improvement in health care services in the United States will be made in incremental changes that rely on a structure-process-outcome model. The structure is provided by evidence created from controlled randomized trials and other studies of care and system outcomes that are based on the scientific method. The process portion is created by the application of evidence in the form of clinical practice guidelines, clinical practice models, and self-assessment tools such as Pharmacy's Framework for Drug Therapy Management. Incremental changes in structure and process will result in the desirable outcome of meeting customer needs for more effective drug therapy and disease management. Authors Richard N. Fry and Steven G. Avey are employed by the Foundation for Managed Care Pharmacy, a nonprofit charitable trust that serves as the educational and philanthropic arm of the Academy of Managed Care Pharmacy; author Frederic R. Curtiss performed the majority of work associated with this manuscript prior to becoming editor-in-chief of the Journal of Managed Care Pharmacy. This manuscript underwent blinded peer review and was subject to the same standards as every article published in JMCP.

Modelling Flood-Induced Wetland Connectivity and Impacts of Climate Change and Dam

Hydrological connectivity between rivers and wetlands is considered one of the key critical factors for the integrity of floodplain landscapes. This study is a comprehensive modelling exercise on quantifying flood-induced wetland connectivity and the potential impacts of climate and water storage in an unregulated river basin in northern Australia. Flood inundation was simulated using a two-dimensional hydrodynamic model and the connectivities between wetlands and rivers were calculated using geoprocessing tools in ArcGIS. Wetlands in the floodplain were identified using waterbody maps derived from satellite imagery. A broadly representative sample of 20 wetlands were selected from 158 wetlands in the Mitchell basin considering location, size and spatial distribution. Five flood events ranging from 1 in 2 to 1 in 100 years were investigated to evaluate how connectivity changes with flood magnitude. Connectivities were assessed for the current condition as well as for two scenarios of future climate (Cwet and Cdry) and one scenario of dam storage. Results showed that a 1 in 100 years event inundated about 5450 km2 of land compared to 1160 km2 for a 1 in 2 years event. Average connectivity of wetlands in the Mitchell basin varies from 1 to 5 days for the floods of 1 in 2 to 1 in 26 years. As expected, a large flood produces longer duration of connectivity relative to a small flood. Results also showed that reduction in mean connectivity under a dryer climate (up to 1.8 days) is higher than the possibility of increase under a wet climate (up to 1 day). The impacts of a water storage, in the headwater catchment, are highly pronounced in terms of inundation and wetland connectivity (e.g., mean connectivity reduced by 1.7 days). The relative change in connectivity is higher for a small flood compared to that of a large event. These results demonstrate that there is a possibility of both increase and decease in connectivity under future climate. However, any water storage will negatively impact the connectivity between floodplain waterbodies and thus reduce the material exchange resulting in a reduction in primary and secondary productions in rivers and wetlands.

Enhancing the efficacy of health promotion interventions: A focus on the context

•Health promotion programmes in various settings are effective means to improve the health of the population.•Despite substantial research, results from programme implementation remain unclear and challenging to evaluate.•A shift from 'one size fits all' evidence-based fidelity to anchoring and tailoring interventions to their contexts is needed.•Recurrences in combinations of contextual factors (namely Typical Contextual Equations) occur in a given type of context.•TCEs focus on a selection of the key critical factors that have drastic impact on implementation.

FACTORS INFLUENCING THE EFFECTIVE LEADERSHIP SUCCESSION PLANNING: STUDY ON A MALAYSIAN GLC

The scope of this research paper is to study the factors influencing effective Leadership Succession Planning (LSP) of one of the main Government Linked Companies (GLC). Background of the study provides an understanding of the external factors as well that have an influence on the topic of study, which covers among others, on the Malaysian economic policy itself. This study is aimed to study the current factors and the gap that is influencing the effectiveness of current LSP initiatives by a service-oriented of Malaysian Government Linked Company and to highlight some key critical factors as proposed in the literature. Factors influencing the effectiveness of LSP are also subject on the ability of the leaders to adapt to external changes particularly in the era of a borderless economic and faster rate of technology changes, and there are some differences from one organization to another, subject to the nature of the business and their stakeholders. However, there are some common important factors can be used as guidelines and practices particularly from the research literature. Therefore, a qualitative study was conducted to be carried out to fulfil the objectives and to answer the research questions. An interview with the Group Chief Executive Officer (CEO) of one GLC, who is the subject matter expert. The recording from the interview was transcribed and further analyzed using ATLAS.ti software. The findings evidence that there is the current practice of leadership succession planning in the company, anyhow there is a gap between the aspirations of the Group CEO and the availability of C-level replacement from within, and between the reality and the theories. Results of the findings identify the outcomes that need to be taken into action for a more effective LSP program. In the future, similar research approach can be conducted to other GLCs in order to analyze the similarities and complementary aspirations with regards to LSP.

Key critical success factors of BPM implementation: a theoretical and practical view

PurposeThe purpose of this paper is to identify the key critical factors that affect the success of Business Process Management (BPM) implementations, considering the literature and experts practical experience.Design/methodology/approachA systematic literature review (SLR) was conducted, and 25 articles from 12 different countries were selected and analyzed. In addition, through a survey, 113 BPM experts were consulted in order to assist in the evaluation of critical success factors (CSFs) initially identified in the bibliography.FindingsAll CSFs identified in the literature were accepted as real critical factors according to the tacit knowledge of the experts. Thus, the factors identified in the literature and approved to a large extent by the experts can serve as a basis for organizations and professionals who want to implement BPM to know of their existence, to relate to them, to control them and thus to potentiate the success of the implementation.Originality/valueThe construction of the theoretical framework based on SLR on BPM is a contribution to the bibliographic database. Another contribution is the identification and synthesis of the CSFs most cited by different authors from 12 different countries and its analysis by professionals on BPM.

Factors Influencing the Effective Leadership Succession Planning: Study on A Malaysian GLC

Factors influencing effective Leadership Succession Planning (LSP) of one main Malaysian Government Linked Companies (GLC) becomes the focal scope of this research paper. The need to understand external factors, among others, on Malaysian economic policy itself, has a great influence on LSP program. It is not sufficient for the leaders in GLCs to only master their business operations knowhow. With the great interest to discover the actual practice of a successful GLC, researcher took this subject as this qualitative research is aimed to study the current factors and the gap that is influencing the effectiveness of current LSP initiatives by a service-oriented of GLC, and to highlight some key critical factors as proposed in the literature. Factors influencing the effectiveness of LSP are also subject on the ability of the leaders to adopt to external changes particularly in the era of a borderless economic and faster rate of technology changes, and there are some differences among the industries and organizations, subject to the nature of the business and their stakeholders. Nevertheless, some important concept in LSP can be used as guidelines and practices be it from the primary data or the research literature. In view of this, the researcher is determined to conduct a qualitative study in meeting the research objectives and to answer the research questions. An interview with the Group Chief Executive Officer (CEO) of one GLC, who is the subject matter expert. The recording from the interview was transcribed and further analyzed using ATLAS.ti software. The findings evidence that there is the current practice of leadership succession planning in the company, anyhow there is a gap between the aspirations of the Group CEO and the availability of C-level replacement from within, and between the reality and the theories. Results of the findings identify the outcomes that need to be taken into action for a more effective LSP program. In the future, similar research approach can be conducted to other GLCs in order to analyze the similarities and complementary aspirations with regards to LSP.

Smart Contract-Based Pool Hopping Attack Prevention for Blockchain Networks

Pool hopping attack is the result of miners leaving the pool when it offers fewer financial rewards and joining back when the rewards of mining yield higher rewards in blockchain networks. This act of leaving and rejoining the pool only during the good times results in the miner receiving more rewards than the computational power they contribute. Miners exiting the pool deprive it of its collective hash power, which leaves the pool unable to mine the block successfully. This results in its competitors mining the block before they can finish mining. Existing research shows pool hopping resistant measures and detection strategies; however, they do not offer any robust preventive solution to discourage miners from leaving the mining pool. To prevent pool hopping attacks, a smart contract-based pool hopping attack prevention model is proposed. The main objective of our research is maintaining the symmetrical relationship between the miners by requiring them all to continually contribute their computational power to successfully mine a block. We implement a ledger containing records of all miners, in the form of a miner certificate, which tracks the history of the miner’s earlier behavior. The certificate enables a pool manager to better initiate terms of the smart contract, which safeguards the interests of existing mining pool members. The model prevents frequent mine hoppers from pool hopping as they submit coins in the form of an escrow and risk losing them if they abandon the pool before completing mining of the block. The key critical factors that every pool hopping attack prevention solution must address and a study of comparative analysis with existing solutions are presented in the paper.

The Influence of Critical Factors on Business Model at a Smart Factory: A Case Study

Abstract Background: The crucial elements of a smart factory, employees, machines, and products, have an important effect on current business models. Objectives: The main aim of our study is to present a case study of the impact of Industry 4.0 on the business model in a smart factory. The paper discusses the changes of business models of the organisation and determines critical factors that influence the business models in a knowledge society. Methods/Approach: Our sample included managers, from the company TPV, who are in charge of implementing a digital business model, and who are the most knowledgeable informants on the topic of our study. Data was obtained from, most widely used method for data collection in qualitative research, semi-structured interviews with managers. Content analysis was conducted for the purpose of our study. Results: Results of our study show that the major change will be that machines will have a “mind” of their own, whose main goal will be to work in production, and the role of employees will be primarily in expressing their creativity, carrying out urgent interventions and performing custody of processes. The key critical factors influencing business models in a smart factory are top management and leadership orientations, motivation of employees, collective wisdom, creativity and innovations. Conclusions: The study represents useful guidelines for strategic management of innovative companies in the earliest stages of the process of decision-making process.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS. The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

Experimental Protocol for HOR and ORR in Alkaline Electrochemical Measurements

This work revises the essentials of electrocatalytic electrochemical measurement done in alkaline electrolytes. The hydrogen oxidation reaction (HOR) and the oxygen reduction reaction (ORR) were considered as a baseline to understand some key critical factors in a half-cell system. The material considered herein was essentially the carbon supported platinum nanoparticles as benchmark material. The main electrochemical techniques considered were cyclic voltammetry (CV) and the rotating disk electrode (RDE). The critical factors considered were the electrochemical cell vessel, reference electrode, nature of the cation in the alkaline electrolyte, and ohmic drop correction.