Management and employee involvement in achieving an environmental action-based competitive advantage: an empirical study

The objective of this work is to conduct an empirical study that shows whether certain management and human resource factors influence the achievement of an environmental action-based competitive advantage in a company. To this end, we have taken a sample of 110 factories. Management's deep involvement and its strategic integration, as well as employee motivation and participation, have a positive impact on the achievement of an environmental action-based competitive advantage in a company.     

An analysis of the construct “involvement” in consumer behaviour

The aim of this paper is to analyse the construct involvement. Specifically, the present work extends the sphere of study of the construct involvement at brand level, applying it to Denominations of Origin (D.O.s). Hence, after an overview of the concept, it suggests a cognitive approach to the measurement of involvement. It proposes as indicators the number of values associated with this designation, the centrality of these values and the intensity of the association. In this delimitation of the concept, a model is presented that is set within the framework of an analysis of the decision-making process adopted by consumers when purchasing wine. This postulates that temporary involvement with a D.O. has explanatory power, as does the direct effect of the regular outcomes of a permanent involvement with such a designation on the process in question. In addition, a correlation is proposed between the state of temporary involvement with a D.O. and the continuing consequences of a permanent involvement with this designation.     

Asymptotic inference for a one-dimensional simultaneous autoregressive model

A nonstationary simultaneous autoregressive model \({X^{(n)}_k=\alpha \Big(X^{(n)}_{k-1}+X^{(n)}_{k+1}\Big)+\varepsilon_k, k=1, 2, \ldots , n-1}\), is investigated, where \({X^{(n)}_0}\) and \({X^{(n)}_n}\) are given random variables. It is shown that in the unstable case α = 1/2 the least squares estimator of the autoregressive parameter converges to a functional of a standard Wiener process with a rate of convergence n ², while in the stable situation |α| < 1/2 the estimator is biased but asymptotically normal with a rate n ^1/2.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

Creation of models for calculation of coefficients of terrain passability

Quality & Quantity - The content of this article is a paper about a complex mathematical model of terrain passability which respects geographical and meteorological conditions in terrain and...     

Gaps between managers' and employees' perceptions of work–life balance

Research on work–life balance (WLB) practices has increased in recent years. Academics affirm that the implementation of WLB practices helps to achieve better organizational results and improve employee outcomes such as higher satisfaction and commitment, and reduce turnover intentions. However, some authors have argued that there are differences between the availability of WLB practices in companies and employees' perceptions of access to such practices. The literature on the differences in perceptions between managers and employees in relation to WLB and its effects is sparse. Using two samples of 229 managers and 511 employees from the same firms, we in this paper contribute to our knowledge of the existence of the perception gaps between managers and employees and their influence on the take-up of WLB. Implications for academics and practitioners are discussed.     

Family firm’s management composition: the role played by family members’ age in TMT and supervisor levels

Quality & Quantity - Family firms (FFs) are the backbone of entrepreneurial fabric in many countries. Management of such businesses is complex because of their features: the overlap between...     

Tests of Normality of Functional Data

The paper is concerned with testing normality in samples of curves and error curves estimated from functional regression models. We propose a general paradigm based on the application of multivariate normality tests to vectors of functional principal components scores. We examine finite sample performance of a number of such tests and select the best performing tests. We apply them to several extensively used functional data sets and determine which can be treated as normal, possibly after a suitable transformation. We also offer practical guidance on software implementations of all tests we study and develop large sample justification for tests based on sample skewness and kurtosis of functional principal component scores.     

Influence of the sector and the environment on human resource practices' effectiveness

The aim of this work is to examine the effect that human resource practice has on performance. From a database made up of 250 companies in Spain and by means of a regression analysis, we test empirically whether human resource practices generate positive results under any circumstance or if their effectiveness depends on certain contexts. In this respect, focusing the study on the activity sector and the environment, we analyse whether high levels of competition in the environment and service companies constitute more attractive contexts for the adoption of high involvement practices.     

The Role of Green Collaborative Strategies in Improving Environmental Sustainability in Supply Chains: Insights from a Case Study

This article aims to quantify to what extent collaborative strategies are more effective than internal or organization‐level actions to green supply chains. In this regard, the impact of decisions made at different stages of a supply chain in a product's carbon footprint is quantified. Organizational and product carbon footprints are calculated using the Compound Method Based on Financial Accounts (MC3). The results underline that concentrating reduction efforts in some stages of the supply chain is more effective than implementing individual actions by the participants. Collaboration among the participants is needed to decide what practices are implemented, at what stage they are needed and how they are to be implemented. This article adds to the literature on supply chains and sustainability. Previous research suggests that collaborative strategies have great potential for reducing the carbon footprint of products, while indicating the need for empirical research to support this statement. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment