Search results

This paper seeks to propose a univariate robust control chart for location and the necessary table of factors for computing the control limits and the central line as an alternative to the Shewhart X¯ control chart.

The proposed method is based on two robust estimators, namely, the sample median, MD, to estimate the process mean, μ, and the median absolute deviation from the sample median, MAD, to estimate the process standard deviation, σ. A numerical example was given and a simulation study was conducted in order to illustrate the performance of the proposed method and compare it with that of the traditional Shewhart X¯ control chart.

The proposed robust X¯_MDMAD control chart gives better performance than the traditional Shewhart X¯ control chart if the underlying distribution of chance causes is non‐normal. It has good properties for heavy‐tailed distribution functions and moderate sample sizes and it compares favorably with the traditional Shewhart X¯ control chart.

The most common statistical process control (SPC) tool is the traditional Shewhart X¯ control chart. The chart is used to monitor the process mean based on the assumption that the underlying distribution of the quality characteristic is normal and there is no major contamination due to outliers. The sample mean, X¯, and the sample standard deviation, S, are the most efficient location and scale estimators for the normal distribution often used to construct the X¯ control chart, but the sample mean, X¯, and the sample standard deviation, S, might not be the best choices when one or both assumptions are not met. Therefore, the need for alternatives to the X¯ control chart comes into play. The literature shows that the sample median, MD, and the median absolute deviation from the sample median, MAD, are indeed more resistant to departures from normality and the presence of outliers.

Despite ongoing controversy, emotional intelligence is emerging as a potentially important variable in furthering our understanding of individual behavior in organizations. In this respect, however, most of the research in relation to emotional intelligence has been at the individual level of behavior. In this chapter, we develop a framework for considering the impact of emotional intelligence at the organizational level. Specifically, we map Mayer and Salovey's four emotional intelligence abilities onto Shein's three-level organizational culture schema. We conclude with a discussion of implications for managers and suggest that the model we propose may prove to be a useful starting point for future research into emotional intelligence as an organizational phenomenon.

In nature, thousands of different colours and shades exist. Basic set of dyes, namely, yellow, red, blue and green are necessary for a complete colour gamut. Creating a complete gamut with natural dyes with one common extraction and application procedure is not exploited hitherto. The paper aims to discuss this issue.

In this study, an attempt was made to create a complete colour gamut with easily available natural dyes with one common extraction and application procedure.

Silk fabrics were dyed using various natural dyes alone and in combination to yield various shades, namely, yellow, red, green, blue. Pre-mordanting of silk fabrics was carried out with mordants, namely, alum, ferrous sulphate, copper sulphate, stannous chloride, potassium dichromate followed by dyeing. The fastness properties and colour strength values of all the shades obtained were determined.

Creating a complete gamut with natural dyes with one common extraction and application procedure is not exploited hitherto.

When a manipulator captures an unknown space object, inertia parameters of endpoint payload should be timely obtained to handle possible unexpected parameter variations and monitor the system’s operating conditions. Therefore, this study aims to present an identification method for estimating the inertia parameter of the payload carried by a flexible two-link space manipulator.

The original nonlinear dynamics model of the manipulator is linearized at a selected working point. Subsequently, the system modal frequencies with and without payload are determined using the subspace identification algorithm, and the difference of these frequencies is computed. Furthermore, by adjusting the structural configuration of the manipulator, multiple sets of frequency differences are obtained. Therefore, the inertia parameters of the payload, i.e. the mass and the moment of inertia, can be derived from the frequency differences by solving a least-squares problem.

The proposed method can effectively estimate the payload parameters and has satisfactory identification accuracy.

The approach’s implementation provides a practical reference for determining inertia parameters of an unknown space target in the capture process.

The study proposes a novel method for identifying the inertia parameters of the payload of a flexible two-link space manipulator using the estimated system frequencies.

This is a paper about the cinematic as spectacle and the construction of the sublime. It is concerned with gendered constructions of desire and construes the object of desire in this case as a sublime object. At the same time, the paper is about decadence and falling, falling away. Therefore, this piece of writing attempts to deal with some thoughts on the relationship between decadence and mortification. So this paper is also about distance and about movement, about kinema (Greek movement) and the distance that is described by falling from the constructed sublime and its associated melancholy. These ideas are explored via an examination of one of Alfred Hitchcock’s most powerful films, Vertigo (1958), and a notion of the tragic sublime. Taken together, the concept of the sublime and the narrative of the film provide insights into the melancholy of commodified representations in the obsessive‐compulsive pursuit of organisational idealisation.

In a world where big data have become crucial to guarantee the success of companies, digital transformation came to help companies transition towards a digital business and accept the changes in the organizational structure as well as the market. Nonetheless, even with the ever-growing importance shed on it, few articles and studies have linked it to the sustainability paradigm. Empirical studies that have linked between the factors of digital transformation and a more sustainable business are still scant. Many efforts are still needed to reduce the knowledge gap between these two concepts. The purpose of this paper is to fill this gap by examining (empirically) the effect of digital transformation on sustainability.

The study validates five different hypotheses highlighted by the literature using structural equation model (SEM) analysis from partial least square (PLS) approach. It uses a new conceptual framework using a survey data, answered by 41 small- and medium-sized enterprises (SMEs) in Morocco from different industries.

Using PLS-SEM modeling, the results show that customers, data and innovation, which are drivers that companies should work on during a digital transformation, have a significant impact on companies’ quest to reach sustainability. However, and in contrast to the existing literature, authors find that competition did not play a significant role in enhancing the companies’ commitment to sustainability.

Authors’ findings encourage firms to seize the opportunity of digital transformation to embrace sustainability, because the implementation of these two concepts requires radical changes at the business model level. Authors suggest that the road to achieve sustainability in a digital era should focus on three main axes, enhancing the customer experience and adopting customer centricity, building data analytics capabilities and shifting innovation to the business model level.

To the best of the authors’ knowledge, this study is one of the first research papers that explain how to reach sustainability during a digital transformation. The originality of this paper lies in the fact that it focuses on SMEs as they remain the backbone of the Moroccan economy. This study is also novel for showing with empirical evidences that working on the axes of customers, data and innovation, during a digital transformation journey, will improve sustainable practices within businesses.

Purpose – Research indicates significant associations between intimate partner violence (IPV), substance abuse (SA) and childhood experiences of abuse. Yet few studies have interviewed fathers with co‐occurring IPV and SA about their experiences in their own families and how that impacts their parenting. The purpose of this paper is to fill that gap and explore the ways in which fathers with co‐occurring IPV and SA describe the parenting of their own parents and how it is related to the ways they parent. Design/methodology/approach – In total, 40 fathers with co‐occurring IPV and SA were interviewed about their experiences of childhood abuse and the ways they are like and unlike their parents for this qualitative study using thematic analysis. Findings – A large percentage of the fathers experienced childhood abuse and reported negative images of their fathers and mothers most commonly due to father absence and abusive/harsh parenting by both parents. Most fathers indicated a wish to be more present, available and warm with their children. Fathers did not draw associations between their childhood histories and their own behaviors. Practical implications – Multigenerational transmission of IPV, SA, and child maltreatment may be important areas to focus on in interventions with fathers with co‐occurring IPV and SA issues. Originality/value – This study is one of the first to specifically interview fathers with co‐occurring IPV and SA about their experiences of being parented and how that is related to their own parenting.

This paper discusses insights from a study of women working, or seeking or preparing for work, in the information technology (IT) field. At issue is how and whether alternative career pathways and informally acquired skills and knowledge, as well as the operation of gender in learning and work, are acknowledged by employers, colleagues and participants themselves.

Using the qualitative technique of life and work history, this study mapped varied learning pathways of women working in the IT field. We used a feminist approach to explore this field, which is characterised as both highly masculine and filled with opportunities for all workers, including women.

Juxtaposing categories present in the data, such as female and male, formal and informal education, work and learning, hard and soft skills, and centre and periphery, we establish that binary constructs are both persistent and tenuous.

Our analysis challenges assumptions about educating the global workforce and the learning pathways within the IT field. Moreover, it suggests the usefulness of further qualitative research on this topic in other geographic locations or fields of work.

In questioning epistemological and social binaries, our analysis contributes to the re‐theorisation of conceptions of knowledge and learning. In moving from an either/or to a both/and understanding of them, we offer a different way of talking about how they can be understood.

This work aims to study the effect of mordanting method as pre-mordanting (on-chrome), meta-mordanting (meta-chrome) and post-mordanting (after-chrome) on wool dyeing with madder natural dye without tannin and pomegranates peel, as a natural dye contains tannin.

The woolen yarn was dyed with madder and pomegranate peel natural dyes by three methods as pre-mordant, meta-mordant and pos-mordant. The color parameters and reflectance spectra of dyed samples were analyzed by using derivative spectroscopy and the principal component analysis (PCA) techniques.

The obtained results indicate that the color difference between the samples dyed with madder by pre-mordanting, and the samples dyed by other methods is more than the color difference between the samples dyed by meta-mordanting and post-mordanting. However, the color difference between samples dyed with pomegranate peel by pre-mordanting and meta-mordanting methods is less compared to other pairs. Also, analysis of reflectance spectra and color depth (K/S) values indicate that the color depth of dyed sample with madder by pre-mordanting method is more than other dyeing methods. But, the color depth of sample dyed with pomegranate peel by post-mordanting method is less compared to other methods. The analysis of first-, second-, third- and fourth-order derivatives of reflectance spectra and the study of the first, second, third and fourth PCs of reflectance spectra indicate that the reflectance of dyed samples with madder and pomegranates peel depends on the mordanting method.

Evaluation of the effect of mordanting method on color and reflectance of wool dyed with madder and pomegranates peel natural dyes using derivative spectroscopy and the PCA techniques

The authors develop a novel forecast combination approach based on the order statistics of individual predictability from panel data forecasts. To this end, the authors define the notion of forecast depth, which provides a ranking among different forecasts based on their normalized forecast errors during the training period. The forecast combination is in the form of a depth-weighted trimmed mean. The authors derive the limiting distribution of the depth-weighted forecast combination, based on which the authors can readily construct prediction intervals. Using this novel forecast combination, the authors predict the national level of new COVID-19 cases in the United States and compare it with other approaches including the ensemble forecast from the Centers for Disease Control and Prevention (CDC). The authors find that the depth-weighted forecast combination yields more accurate and robust predictions compared with other popular forecast combinations and reports much narrower prediction intervals.