We kindly inform you that, as long as the subject affiliation of our 300.000+ articles is in progress, you might get unsufficient or no results on your third level or second level search. In this case, please broaden your search criteria.
The proposed model of organisational cultures I used in my research is based on three dichotomous dimensions borrowed from G. Hofstede and other researchers. Although Hofstede proposed studying organisational cultures according to other dimensions of values than in the case of cultures of whole societies, there are numerous authors who think his model is more general and so apply it to organisational cultures too. It seems that three out of five dimensions proposed by Hofstede can become a basis for such a multidimensional model and typology. I am also in favour of this approach, as I believe that three of the dimensions included in Hofstede’s model are of a universal character, whether they concern individuals, organisational cultures or social cultures [Sułkowski 2012, pp. 103-118].
More...
This paper aims to analyse the relation between timely and effective communication and risk mitigation of late recovery after an unexpected information system outage in enterprises. An unforeseen information system failure in modern enterprise units, may result to significant operational and financial damage. In such a critical incident, effective communication between the team leaders and the recovery team involved, can minimize or even eliminate this negative impact. An extended information system outage can be perceived as a time deviation from the Maximum Accepted Outage (ΜΑΟ) timeframe, proposed by the business continuity management, according to the value of which dependent business functions may be interrupted without any serious effects to the company. The paper examines the relation between 3 basic factors and the efficient communication between team members. The factors are: timely information distribution, staff availability and network availability. Through the current paper, the author proposes a risk analysis model, based on the Composite Risk Index theory of Risk Management, which can significantly diminish the possibility of an extended information system outage, as well as calculate the extended time required to recover a system when the aforementioned factors emerge in their worst form. The precise calculation of recovery time can be achieved via the execution of business continuity tests which include scenarios, according to which an unexpected system outage coexists with delayed information distribution as well as low staff and network availability.
More...
Most economic time series, such as GDP, real exchange rate and banking series are irregular by nature as they may be affected by a variety of discrepancies, including political changes, policy reforms, import-export market instability, etc. When such changes entail serious consequences for time series modelling, various researchers manage this problem by applying a structural break. Thus, the aim of this paper is to develop a generalised structural break time series model. The paper discusses a panel autoregressive model with multiple breaks present in all parameters, i.e. in the autoregressive coefficient and mean and error variance, which is a generalisation of various sub-models. The Bayesian approach is applied to estimate the model parameters and to obtain the highest posterior density interval. Strong evidence is observed to support the Bayes estimator and then it is compared with the maximum likelihood estimator. A simulation experiment is conducted and an empirical application on the SARRC association’s GDP per capita time series is used to illustrate the performance of the proposed model. This model is also extended to a temporary shift model.
More...
This paper explores the effect of multiple structural breaks to estimate the parameters and test the unit root hypothesis in panel data time series model under Bayesian perspective. These breaks are present in both mean and error variance at the same time point. We obtain Bayes estimates for different loss function using conditional posterior distribution, which is not coming in a closed form, and this is approximately explained by Gibbs sampling. For hypothesis testing, posterior odds ratio is calculated and solved via Monte Carlo Integration. The proposed methodology is illustrated with numerical examples.
More...
Typically survey data have responses with gaps, outliers and ties, and the distributions of the responses might be skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at both levels (responses and area means). This is the Scott-Smith (S-S) model and it may not be robust against these features. Another model that can be used to provide a more robust structure is the two-stage Dirichlet process mixture (DPM) model, which has independent normal distributions on the responses and a single Dirichlet process on the area means. However, this model does not accommodate gaps, outliers and ties in the survey data directly. Because this DPM model has a normal distribution on the responses, it is unlikely to be realized in practice, and this is the problem we tackle in this paper. Therefore, we propose a two-stage non-parametric Bayesian model with several independent Dirichlet processes at the first stage that represents the data, thereby accommodating some of the difficulties with survey data and permitting a more robust predictive inference. This model has a Gaussian (normal) distribution on the area means, and so we call it the DPG model. Therefore, the DPM model and the DPG model are essentially the opposite of each other and they are both different from the S-S model. Among the three models, the DPG model gives us the best head-start to accommodate the features of the survey data. For Bayesian predictive inference, we need to integrate two data sets, one with the responses and other with area sizes. An application on body mass index, which is integrated with census data, and a simulation study are used to compare the three models (S-S, DPM, DPG); we show that the DPG model might be preferred.
More...
A Bayesian structural time series model is used to forecast the current value of the consumption index in Mexico, where correlated searches in Google's search engine are used to determine the weekly value of the index. Mexico’s Institute of Statistics and Geography releases the consumer index, along with other important macroeconomic variables, in a three-month span from their recollection. This can be improved by using information that is readily available just a few days from the end of each month to create an estimate with Bayesian methods. For this we set the time series model in state space mode, which allows us to use a big set of regressors as predictors of the current value of Mexico’s consumer index. The main finding is that the use of the search queries improves significantly the accuracy of prediction.
More...
A Bayesian structural time series model is used to forecast the current value of the consumption index in Mexico, where correlated searches in Google's search engine are used to determine the weekly value of the index. Mexico’s Institute of Statistics and Geography releases the consumer index, along with other important macroeconomic variables, in a three-month span from their recollection. This can be improved by using information that is readily available just a few days from the end of each month to create an estimate with Bayesian methods. For this we set the time series model in state space mode, which allows us to use a big set of regressors as predictors of the current value of Mexico’s consumer index. The main finding is that the use of the search queries improves significantly the accuracy of prediction.
More...
Previous research highlighted undoubtedly positive impact of transformational leadership on a wide range of performance, including its follower, individual and organizational levels. However, the focus to date has mainly been on the concept’s empirical underpinnings and, hence, the purpose of this study is to present and clarify the intellectual structure of transformational leadership – performance relationship studies. Building on the bibliometric analysis, we have provided the information on publishing trends, the most prolific countries and authors that shape this relationship, whereas term analysis provides a taxonomy for ongoing and recommended upcoming research in the field. The results showed a) the field is under a surprisingly strong influence of a diversified research context along with the focus on the well-recognized and expected Anglo American region; b) there are five clusters which have been recognized as representatives of the field; c) scarcity of research into sales and managerial performance has been identified which indicates that there is a considerable potential for wide-ranging research in fields of marketing and management in general. In the context of contribution, this study provides a reference to researchers entering this field, as well as guidance for future research.
More...
Supply chain management (SCM) has developed more than three decades. However, very fewer studies explore knowledge dimension of SCM. The purpose of this study is to examine the knowledge dimension of SCM through Bibliometric method. Data was collected from J-Gate online database. In this context, this article aims to review scientific literature related to the supply chain management, published in the J-gate database. Using the term supply chain management and organisational performance, 69 articles were found since 2010-2014, but only 59 articles fulfil the selection criteria, being included in the analysis. The items investigated, by year of publication, were: study type, methodology, type of supply chain investigated, authorship pattern, country-wise distribution of articles. As the survey results, the year 2013 had the highest number of publications, 42% in total; the research method most often used was others while literature review was consider as the second most preferred method for the study. The contribution of this study is to provide core knowledge for both researchers and practitioners to understand the aspects of SCM.
More...
We augment an otherwise standard business cycle model with a richer government sector, and add a modified cash in advance considerations, and one-period ahead nominal wage contracts. In particular, the cash in advance constraint of Cooleyand Hansen (1989) is extended to include private investment and government consumption. This specification, together with the nominal wage rigidity, when calibrated to Bulgarian data after the introduction of the currency board (1999-2016), gives a role to money in propagating economic fluctuations. In addition, the combinations of these ingredients allows the framework to reproduce better observed variability and correlations among model variables, and those characterizing the labor market in particular.
More...
Objective: The purpose of this study is to examine whether work-life balance (WLB) practices are satisfactorily provided in UK small and medium-sized enterprises (SMEs) and the impact of the availability of these work-life policies on turnover intentions. A review of extant literature reveals scarce knowledge in this area of research and this study presents a rudimentary effort to fill this gap.Research Design & Methods: Using qualitative design, the data set comprised of in-depth interviews with thirty-six employees working in small and medium-sized UK convenience stores and supermarkets with less than ninety employees.Findings: Informal nature of human resource management policies emerged from the findings as one of the constraining forces impeding work-life agendas in SMEs and causing low staff retention in UK. Although other themes were found to contribute to retention challenges, however, these additional reasons were not independent, but all considered integrated.Implications & Recommendations: Consequently, the practical implication of devising ways to overcome WLB and retention deficiencies in this context were also explored.Contribution & Value Added: The originality of this work lies in studying the importance of WLB practices to some of these grass root businesses that make up a large proportion of the economy in the UK. As the limitation of this study is that it is wholly qualitative in nature, it is suggested that future research should rely on quantitative designs that provides more internally valid tests via computational techniques.
More...
In this paper, the authors analyze global innovation rankings as provided by Strategy& over the last 7 years. They first explore the raw ranks and report variations in year-over-year (YOY) ranks for top ten ranking companies. The normalized innovation ranks are then used to calculate the Innovation Power (inP) to assess if these companies maintained or improved their ranks over time. An interesting classification of innovations for the top 10 emerges from this analysis. The constant top innovators were Apple and Google. The rising innovators were Tesla, 3M and Facebook. Other classifications are discussed. The authors propose a non-statistical predictive model, which is reminiscent of a kinematic model using a novel concept of Innovation Momentum (inM) and predict that for 2017, Apple and Google will hold their first and second place, followed by Amazon, Samsung and Tesla. Facebook is also expected to rise in its rank. Companies that reach out and serve end-user needs with service innovations appear rising in ranks, far more than R&D intensive patent filing innovators in these ranks. Tesla is an interesting top ranker to watch. There are implications for software focused companies gaining importance given their flexibility over hardware dominant ones. Some bottom innovators are further declining. Although the rankings are perception-based, there is a pattern that implies it is not random or merely subjective. The analysis highlights the need for leaders and consultants to put in perspective the complex management problem of measuring innovation.
More...
Purpose – The aim of the article is to present the results of conducted research in the field of intellectual capital management in a commercial bank operating on the Polish market. Methodology – The audit of the intellectual capital in the examined Bank was conducted using an appropriate questionnaire form. The survey was supplemented with direct interviews with the chief management as well as with an analysis of internal documentation. Findings – The result of the undertaken study is the cognition of the state of intellectual capital in the examined company as well as an indication of the postulated activities in the field of intellectual capital management. Originality/value – Intellectual capital today is one of the most important assets in a company. The previous research undertaken by the author showed that intellectual capital in Polish enterprises was undervalued. That is why it was important to make an audit of intellectual capital where the results can be a base to formulate individual activities that may contribute to the increase in the value of intellectual capital and thus increase the value of the company.
More...