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Organisations operate within a three‐tiered environment – internal, micro and macro. The environment is a powerjul force acting upon the effectiveness of strategic decision making. Failure to take cognisance of the influence of the three‐tiered environment can have disastrous consequences. The cross‐impact matrix and the TOWS matrix are two strategic decision‐making aids that improve effective decision making. When used in conjunction with creative problem solving methods they can provide the basis of a powerful management tool.

While a printer may be the most important accessory in a personal computer system, it can also be the most annoying and disappointing part of a system. Printers can be noisy, difficult, and expensive. Their quality ranges from intolerably poor to better than typewriter output. Tastes and expectations for printed output have changed in recent years, making low‐cost printers more widely acceptable. Some of the issues involved in choosing and using a printer are discussed. A recent survey article is cited as a source of further information. Based on personal experience, the author describes and compares two low‐cost printers: the Star Micronics Gemini‐Wand Hewlett‐Packard's ThinkJet.

The purpose of this paper is to study the damage induced in “green” and synthetic composites under impact loading.

The study was focussed on epoxy-based composites reinforced with woven hemp or glass fibres. Six assessment techniques were employed in order to analyse and compare impact damages: eye observation, back face relief, terahertz spectroscopy, laser vibrometry, x-ray micro-tomography and microscopic observations.

Different damage detection thresholds for each material and technique were obtained. Damage induced by mechanical and laser impacts showed relevant differences, but the damage mechanisms are similar in both types of impact: matrix cracks, fibre failure, debonding at the fibres/matrix interface and delamination. Damage shape on back surfaces is similar after mechanical or laser impacts, but differences were detected inside samples.

The combination of these six diagnoses provides complementary information on the damage induced by mechanical or laser impacts in the studied green and synthetic composites.

Because that the crime in a wide way impacts the life of the people in the big metropolis, researchers have treated the question from several angles. The purpose of the paper, under the umbrella of operational research, is to develop a model of the ordering of police strategies, in the fight against crime in general, according to a certain criminal demand.

For the construction of the impact matrix of the strategies under the reduction of crime rates, considering a portfolio of crimes, a questionnaire applied to specialists was used. In a second moment, defined the criteria and strategies to be ordered, the multicriteria ELECTRE IV method was used, which with the help of the J-Electre software emulated the systematized data in the impact matrix and produced the final ordering of the most efficient strategies, in the fight against crime, in the perception of decision-makers.

As a result, the research revealed that policing strategies directed at solving specific crimes are the most effective in the perception of decision-makers after the emulation of data with the ELECTRE IV method.

As research implications, it can be inferred that the use of multicriteria methods in the modeling of problems in the area of public security can contribute to rationalization of the use of the means available in the fight against crime in large cities. The research showed that it is possible to use customized policing strategies to a certain reality.

The method presented in this research is directly related to the major strategies: problem-oriented policing and hot spot policing. This method allows public safety managers to consider the possibility of combining different law enforcement strategies in each context. In this sense, the use of the multiple-criteria decision analysis (MCDA) (ELECTRE IV) method allows the evaluation of a large set of alternatives according to a set of established criteria, speeding up the process and reducing subjectivity, allowing the manager to analyze several scenarios with greater clarity and impartiality and choosing an alternative that best solves the proposed problem. The expected result is the rationalization of the available means applied in the search for the reduction of crime rates.

The customization of policing strategies, according to criminal demands, implies the efficient way to reduce criminal charges. Reducing criminal rates enables the development of the local economy, tourism and the quality of life of people by exercising their freedom to the full.

The originality lies in filling a gap in the literature with the elaboration of the impact matrix of policing strategies in reducing criminal indices, and in their associated use in ordering strategies through a multicriteria method.

Global construction has been affected by COVID-19 unprecedently. The construction sectors in the least developed countries are considered as vulnerable, but the covid made the countries experience the worst situation ever. To minimize the losses by effective measures, there needs to assess the COVID-19 impacts on the construction sector. So, the aim of this study is to investigate the most critical impacts of COVID-19 on construction in the least developed countries by considering the case study of Bangladesh.

The authors adopted multistep research methods, including (1) literature analysis and discussion with experts to establish a comprehensive list of COVID-19 impacts; (2) through a questionnaire survey, data were collected from 217 construction professionals by email, Google Form and Skype for quantifying the significance of covid impacts; (3) reliability of the survey checked by the Cronbach Alpha test; (4) Relative Importance Index (RII) to determine the ranks of the impacts based on their significance; (5) Interpretive Structural Model (ISM) to explore the corelations and the hierarchical structure; and (6) cross-impact matrix multiplication applied to classification (MICMAC) analysis to classify the COVID-19 impacts.

The study identified a total of 18 COVID-19 impacts on the construction sector. Among them, the job cuts, schedule delays, project suspension, cost overrun and effects on mental health are more influential and significant than others. Further, this study found that unpaid leave and job cuts are the two most fundamental impacts which influence other succeeding significant impacts. And ultimately all the impacts lead to hampering the national economy and development. Finally, MICMAC analysis suggested that unpaid leave and job cuts should be addressed first to resolve and effects on the national economy and development should be later.

This study does not consider all the COVID-19 impacts due to the relevant context and simplicity of the ISM method. Also, the respondent's attitude might be slightly different during the post-mass vaccination period.

This study will help the company's management, employees and government to develop effective strategies to understand the insight of their interrelations and ultimately overcome the identified covid effects. This will must contribute to the industry, its employees, the government and society by ensuring the national economy and development, construction operations, investment, employment and social security.

This study will contribute to the knowledge body (practitioners and researchers) by providing the list of significant covid impacts and insight into their interrelations for further deep analysis of the pandemic effects. This will also help the authorities and stakeholders in developing policies and strategies to minimize or avoid these effects and avoid future consequences due to any pandemic like covid.

Organizations often introduce performance measurement systems (PMSs) in order to evaluate the level of their performance, make comparison with competitors, and plan their future activities. Since indicators may affect the behaviour of the monitored system, the design and implementation of a PMS should always include the analysis of the impact it may exert on the organization itself. The aim of this paper is to suggest a methodology to evaluate this impact.

The proposed approach is based on an impact reference model derived from the balanced scorecard (BSC) framework. The different perspectives of the BSC are interpreted as areas of impact within an organization. Structured steps for impact evaluation are described and specific techniques of analysis are introduced.

A series of case studies, together with an analysis of advantages and disadvantages of the proposed method, are presented. Results show that, although many sets of indicators are usually able to meet the role of a PMS, they may exert a different impact on the context they are applied. The proposed methodology results to be a useful instrument for choosing the right set of indicators from the impact point of view. Finally, possible research paths to be undertaken for further developments of the proposed methodology are traced.

The application of the method is based on the assumption that managers charged with the analysis have a profound understanding of the specific contextual factors which may determine a reaction of the organization to a performance indicator or a PMS. Furthermore, at the moment, the methodology does not consider the possibility of interaction among different indicators in producing the impact.

This paper may be used to guide the selection of the most appropriate PMS from the impact point of view. The proposed methodology can be very helpful instrument for an organization involved in the design of new PMSs. It guides the decision maker through the various phases: indicators definition, analysis of their properties, impact analysis, and choice of the set with the preferable impact profile.

The issue of impact has been long debated in literature. Many articles try to analyse the operative and strategic consequences of the introduction of a PMS in an organization. This paper proposes a methodology for a more structured and objective evaluation of the impact of new PMS before introducing it in a firm. This can result in a significant help for manager who have to find the best set of indicators for the performance evaluation of their organization or have to choose between two or more sets of indicator satisfying, in principle, the same representation objective.

The increase in issues pertaining to the strategic assessment of territorial transformation has made it necessary to find new methods and tools that are able to consider the several factors at stake. The purpose of this paper is to examine the full range of impacts produced by a project in a territorial context and propose a real application concerning the construction of a new hydropower plant in Bulgaria.

Making use of checklists, network chains and specific impact matrixes, the paper tries to evaluate the overall environmental compatibility of the project.

The performed analysis highlights a final compatibility that in most cases is satisfactory, where the most critical states concern the disturbance to the fauna species living in the area and, above all, the impacts of the project on the landscape.

The work puts in evidence the necessity of further investigations for the definition of mitigation measures that are able to reduce the most relevant effects of the project, especially the visual impact of the dams.

A part from the environmental issues, a key‐role in the general feasibility of large dam projects is played by the analysis of the social impacts. The paper puts in evidence the importance of considering in the evaluation, the effects of the hydropower plant on the community.

The general theme has an interdisciplinary nature and requires several issues to be considered: technical, economic, social and environmental aspects. The paper provides a comprehensive assessment framework in order to implement such an interdisciplinary approach.

The health care industry has experienced vibrant growth since the last few decades. Total health care business has reached more than US$160bn in the country and is still growing, but sustainable growth of industry is a major area of concern. An unsustainable and uneven growth might contribute in growth presently, but will not help in the long run due to extinction in future. The paper aims to discuss this issue.

The research has been divided into two phases to analyze the barriers to achieve sustainable growth, i.e., identification of barriers and their analysis. The study has used three different research phases: identification of barriers from the literature, interviews with experts of industry and designing an ISM model. The identification phase led to the selection of 19 barriers from literature and by suggestions from industrial experts. The interpretive structural modeling (ISM) analysis was used to understand the impact and linkage of identified barriers. The barriers are further classified into four major categories on the basis of drive power and dependence power using “Matrices d’Impacts Croises Multiplication. Appliqué a un Classement” analysis.

The present research identifies 19 barriers in the field of growth of health care mainly in rural area with 11 levels in ISM-designed model. Barriers such as lack of awareness, medical mistrust, cost/benefit, transportation, high out of pocket expenditure, lack of health insurance, medical unawareness and the cultural dimension (traditional beliefs) have very high dependency power. These variables are highly influenced by other barriers. Barriers such as low outreach (geographical reach), information and communication, insufficient capacity planning, and highest growth in population have very high driving and dependence power. They have a very high impact on the system as any change in them will have a direct impact on others. Remaining seven selected barriers have a very high driving power and they are generally independent in nature and have less impact on the system as whole.

This study seeks to identify which barrier is acting as the most dominant one and this result is helpful for policy-makers to achieve goals of National Health Mission (NHM) by removing the dominant barrier.

Total health care business reaches more than US$160bn in the country and is still growing, but sustainable growth of industry is a major area of concern. This paper is one of the preliminary attempts to identify which barrier is acting as the most dominant one and this result is helpful for policy-makers to achieve the goals of NHM by removing the dominant barrier.