Dispersion of Family Ownership and Innovation Input in Family Firms

Wei, Xiao; Chen, Ling

doi:10.3390/su14148418

Cited by 5 publications

(2 citation statements)

References 66 publications

(83 reference statements)

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“…It is a particular case of weighted moving averages of current and previous values in which weights decrease. It is used for both smoothing and forecasting (Wei & Chen, 2022). The equation used is…”

Section: Methodsmentioning

confidence: 99%

Study of the hydraulic correlation in the removal of pollutants from synthetic wastewater by means of a filter with Musa Paradisiaca

Mendoza

Rojas²,

Cunduri³

et al. 2023

F1000Res

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Background: The objective of this work was to decontaminate synthetic sewage from fouracid blue (BRL) dye, with characteristics similar to those of the textile industry, to determine the correlation between flow rate, permeability and removal of hexavalent chromium (Cr+ 6), Cupper (Cu), chemical oxygen demand COD and color using Paradise Muse filter bed. Methods: three concentrations of BRL synthetic wastewater were prepared, determining the initial concentrations of Color, pH, COD, Cr +6 and Cu. In addition, the hydraulic characteristics of the fiber were determined in four types of fiber cut. The synthetic wastewater was filtered in a filtration cell with the three fiber cuts, using three speeds, the time used for these tests was 180 minutes. Water samples were collected every 5 minutes and then analyzed in the laboratory. Simple exponential smoothing was performed on the data obtained, and the statistical analysis of variance ANOVA of 2 factors. Results: The results show that flow velocity and permeability are correlated with color removal, COD and Cr+ 6, determining that the best treatment was to use 1 cm fiber and high flow velocity in which 77.92% and 70.01% for color and COD respectively. In contrast, for Cr+ 6 the best treatment was fiber at 1 cm and low flow velocity removing up to 80% of the concentration of this contaminant and for Cu the best treatment was fiber at 3 cm and low flow velocity removing up to 88.69%. Conclusions: It was determined that the Musa Pardisiaca fiber is capable of absorbing contaminants, but the effectiveness of the treatment depends on the initial conditions of the synthetic water, the cut of the fiber and the velocity. In addition, it is important to mention that, in order to lower heavy metal concentrations, low flow rates should be used.

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Section: Methodsmentioning

confidence: 99%

Study of the hydraulic correlation in the removal of pollutants from synthetic wastewater by means of a filter with Musa Paradisiaca

Mendoza

Rojas²,

Cunduri³

et al. 2023

F1000Res

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“…Although many studies have appeared in recent years dealing with the influence of specific firm characteristics on the success of established innovations, most of them have examined only one or two specific characteristics (Cucculelli & Peruzzi, 2020;Medase, 2020), had only a regional focus (Civelek et al, 2021;Wei & Chen, 2022) or focused on the comparison between FBs and non-FBs (e.g. Duong et al, 2022;Núñez-Cacho & Lorenzo, 2020).…”

Section: Introductionmentioning

confidence: 99%

Family Business Innovativeness: A Quantitative Analysis of the Individual and Combined Effect of Size, Age/Generation and Family Ownership

Skrbková,

Rydvalová

2023

Journal of Business Economics and Management

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No large-scale quantitative studies exist on how the complex characteristics of the firm affect the innovativeness of family businesses. Our study is the first to quantitatively examine how size, age/generation and family ownership individually and in combination affect the innovativeness of family businesses, using data from 56 countries. Firstly, we found that medium and large family businesses are perceived by potential successors as more innovative than small businesses; secondly, that the trend of family business innovativeness changes over time and generations according to the U-shape line; and thirdly, that the most effective family ownership in terms of innovativeness seems to be that with exactly 50%. These results were subsequently confirmed by testing the combined effect of the above mentioned three characteristics. In contrast, small family businesses in which the second or any subsequent generation is involved and which are minority or majority family-owned are perceived as the least innovative family businesses. Our findings can help public authorities in deciding how to allocate public funds, investors in deciding how to co-finance projects, and family businesses in defining development and innovation strategies for their growth.

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