Human resources competencies: a key scale to assess HRCs, including items in knowledge business, functional expertise and managing change

Purpose The purpose was to produce a standardized tool in the form of a questionnaire to measure HR competencies Design/methodology/approach The authors collected data from 234 managers and experts in human resources of selected firms existing in the Yazd Industrial Town. A questionnaire was developed to assess HRCs. Findings The paper produced a key scale for assessing HRCs in three dimensions: knowledge business, functional expertise and managing change. Two items of the original 33 were dropped as they were found to be unreliable Originality/value The authors believed the developed questionnaire can be used as an appropriate scale for measuring HRCs in future research and also in organizations in Iran.

Growth Scale Optimization of Discrete Innovation Population Systems with Multichoice Goal Programming

How are limited resources efficiently allocated among different innovation populations? The performances of different innovation populations are quite different with either synergy or competition between them. If the innovation population is kept under an appropriate scale, full use can be made of the allocated resources. The maximization of the development and performance for a certain scale of innovation population is a typical multichoice development problem. Therefore, the scale optimization of the innovation population should be analyzed. According to the population dynamics, a resource constraint model for the growth of innovation population is developed, and the growth of innovation population under resource constraints is in equilibrium accordingly. With the help of a multichoice goal programming model, the scale optimization of innovation population performance can be obtained. The results of the resource constraint model and multichoice goal programming model are used to determine the optimal scale of the innovation population. From the panel data of the innovation population in Jiangsu Province from 2000 to 2017, we have found that R&D investment was the main innovation resource variable and that patent number was the main innovation output variable. Based on these data, the scale optimization of the innovation population under resource constraints can be calculated. The results of the study show that, in the observation period, the enterprise innovation population is often in the appropriate scale state. The scale development of enterprise innovation population is often more suitable for innovation ecosystem than that of scientific research institutions. According to these results, the government can provide appropriate guiding policies and incentives for different innovation populations. The innovative population can adjust its own development strategy and plan in time accordingly.

Analysis of the validity and reliability of a questionnaire to measure students’ perception of inclusion of sustainability in engineering degrees

Purpose There are multiple questionnaires in the literature that try to gather university students’ perception about sustainable development (SD), but they are mainly focused on determining the students’ knowledge and attitude about sustainability. As the existing questionnaires did not fit the type of analysis that is intended to carry out, a new questionnaire was developed, adapted to the aims and context (engineering students) of the pretended study. The questionnaire contains two scales; one to determine the level of insertion of sustainability and the other to measure the importance that students give in their training process to the three dimensions of sustainability: economic, environmental and social. This new instrument requires a validation process to ensure its content – validity, reliability and clarity. The aim of this paper is to describe the validation process. Design/methodology/approach This paper shows the validation process of a questionnaire designed ad hoc to measure the students’ perception on SD inclusion level in three current engineering degrees, at the Engineering School of Bilbao (EIB) that belongs to the University of the Basque Country (UPV/EHU). The questionnaire validation process was conducted in three stages: experts on the subject provided their advice to ensure the study objectives, a small number of students contributed to clarify the statement of the questions, and thus, to increase the reliability of the questionnaire and finally, a larger number of students completed the survey to analyse the internal consistency of the two scales in the questionnaire with the Cronbach’s alpha test. Findings As a result of the entire validation process, an appropriate scale has been obtained to measure the importance that students give to the three dimensions of sustainability, economic, environmental and social, and to the sustainability overall. Furthermore, an appropriate scale to measure the insertion level of sustainability in engineering studies has been developed. However, the insertion scale needs a revision in the items of social and economic dimension to be valid to conduct disaggregated studies by dimensions. Originality/value The surveys published in the literature try to determine the knowledge and attitude that students have regarding SD. However, this new questionnaire, whose validation process is described in this paper, aims to know how engineering students of the EIB perceive the level of insertion of SD in their academic programs, from a frequency perspective, and the importance they give to it, both personally and professionally, given to the analysis a holistic perspective. Thus, the questionnaire can be used by higher education institutions to design strategies for inserting SD in engineering studies.

COVID-19: Prediction of Vulnerable Areas Having High Risk of Becoming Hostspots and Providing Necessary Statistics during COVID-19 Pandemic

COVID-19 Pandemic management has become the top priority of Government Institutions globally, which is justifiable seeing the high mortality of the disease. In India, Lockdowns by National, State and Local level administrations have greatly reduced the spread of the SARS COV-2 Virus. Some areas with a greater proportion of COVID-19 patients have been declared hotspots with increased restrictions on public activities through law enforcement. But quite often delay in identification of these hotspots leads to community transmission of the Virus thus aggravating the problem. A method to identify the areas which are at risk of becoming the next hotspot for the disease is the need of the hour[1]. In this Research document we will find the probable risk factors and make an appropriate scale to measure the vulnerability of an area, identified by its Postal code. To help with this a Pan India survey by the title of “Survey on General Indian population on the level of preparedness for COVID-19 pandemic” was launched and received around 1250 submissions, with the acquired data we will evaluate the risk factors and make appropriate scale to identify ‘pre-hotspots’.

Ants in Space

Patterns in space can be used to infer ecological and evolutionary processes. This is a foundational practice in the study of natural history. To make good inferences, patterns must be viewed at the appropriate scale. Humans may perceive and study phenomena on scales that accord with their own experiences rather than the experiences of the organism under consideration. Using the global invasive Argentine ant, Linepithema humile, as a case study, this reflection shows how a bias toward studying phenomena at the anthropocentric scale, relevant to the imagination and experience of human researchers, can lead to bizarre ideas about the lives of other organisms. To avoid such scaling problems in the venture to know something about another being it is essential that research stays with the embodied experience of that being.

Scale, rank and model selection in evaluations of land cover influence on wildlife–vehicle collisions

ContextExamining land cover’s influences on roadkills at single predetermined scales is more common than evaluating multiple scales, but examining land cover at the appropriate scale may be necessary for efficient design of mitigation measures, and that appropriate scale may be difficult to discern a priori. In addition, the taxonomic rank at which data is analysed may influence results and subsequent conclusions concerning mitigation. AimsThe objective of the present study was to assess the influence of variation in spatial scales of land cover explanatory variables and taxonomic rank of response variables in models of wildlife–vehicle collisions (WVCs). Research questions include: (1) do the scales of land cover measurement that produce the highest quality models differ among species; (2) do the factors that influence roadkill events differ within species at different scales of measurement and among species overall; and (3) does the taxonomic rank at which data is analysed influence the selection of explanatory variables? MethodsFour frequent WVC species representing diverse taxonomic classes, i.e. two mammals (Cerdocyon thous and Hydrochaeris hydrochaeris), one reptile (Caiman yacare) and one bird (Caracara plancus), were examined. WVCs were buffered, land cover classes from classified satellite imagery at three buffer radii were extracted, and logistic regression model selection was used. Key resultsThe scale of land cover variables selected for the highest quality models (and the selected variables themselves) may vary among wild fauna. The same explanatory variables and formulae are not always included in the candidate models in all compared scales for a given species. Explanatory variables may differ among taxonomically similar species, e.g. mammals, and pooling species at higher taxonomic ranks can result in models that do not correspond with species-level models of all pooled species. ConclusionsThe most accurate analyses of WVCs will likely be found when species are analysed individually and multiple scales of predictor variable collection are evaluated. ImplicationsMitigating the effects of roadways on wildlife population declines for both common and rare species is resource intensive. Resources spent optimising models for spatially targeting management actions may reduce the amount of resources used and increase the effectiveness of these actions.

Evaluation of distributors during the commercialization of innovative production by industrial enterprise.

Distributors who operate on the channel and do the same job, do not always make it the same: relationships with some of them will always be more beneficial than others. So it is necessary to analyze each aspect of their relationship with each distributors. It may become clear that the distributor, through which the largest volumes of goods are sold, in fact, almost does not bring the profit to the producer, and a small trading company, on the contrary, has a significant potential. Therefore, it is necessary to constantly optimize work with distributors, to evaluate them both from the standpoint of the commodity producer and the consumer of the goods. On the basis of improved criteria system of distributors during the commercialization of innovative production by chemical industry’s enterprise are evaluated. For each assessment criterion, the appropriate scale and formula for calculating the integral estimate are determined. The proposed approach deepens the existing theoretical and practical approaches in marketing distribution policy.