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1 – 5 of 5Sufyan Sikander, Afshan Naseem, Asjad Shahzad, Muhammad Jawad Akhtar and Ali Salman
In recent years, especially after the COVID-19 pandemic, home textile production orders decreased significantly. This sudden drop in production has increased industry competition…
Abstract
Purpose
In recent years, especially after the COVID-19 pandemic, home textile production orders decreased significantly. This sudden drop in production has increased industry competition, making customer satisfaction more challenging. As a result, it has become imperative for the industry to deftly navigate such ongoing challenges.
Design/methodology/approach
This study examines textile production efficiency methodically. Customer requirements like quality, on-time delivery, better working conditions, cost-effectiveness and facility safety audits are understood first. Quality function deployment (QFD) turns client requirements into technical requirements. Prioritise and analyse risks using Monte Carlo simulation and Pareto charts. Consequently, experts and literature propose corrective measures, which are tested in a pilot run to see how they affect production.
Findings
QFD, define, measure, analyse, improve and control (DMAIC) and Monte Carlo simulation were used to reduce high-priority risks and meet client requirements in this study. The house of quality helped relate customers’ requirements and technical requirements. Monte Carlo simulation has also improved risk prioritisation by providing a flexible mathematical structure for identifying and managing the most important risks.
Originality/value
This study is novel in the way it applies this integrated approach to the understudied home textile sector. Unlike traditional DMAIC, this study introduces a novel matrix encompassing all defects. This study offers a data-driven approach to improve product quality, meet customer expectations and reduce prioritised risks in home textile manufacturing.
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Syed Ali Raza, Darakhshan Syed, Syed Rizwan and Maiyra Ahmed
Pilar Mosquera, Fernanda Bethlem Tigre and Miriam Alegre
New generations actively seek employment in organizations that resonate with their values, mission and sense of purpose. However, perceptions of organizational politics (POP…
Abstract
Purpose
New generations actively seek employment in organizations that resonate with their values, mission and sense of purpose. However, perceptions of organizational politics (POP) associated with unethical practices detrimentally affects meaningful work experiences and employee retention. Ethical leadership emerges as a critical factor in mitigating these negative effects. This study aims to propose a comprehensive model that examines the impact of ethical leadership on two crucial work outcomes: meaningful work and turnover intention. The mediating role of POP is explored, shedding light on the intricate dynamics within organizational contexts.
Design/methodology/approach
To test the model, the authors use a sample of 261 respondents who completed an online questionnaire shared on social networks. Partial least squares is used for data analysis.
Findings
Results evidence that ethical leadership reduces employees’ POP, increases meaningful work and reduces turnover intention. One dimension of POP – communication – mediates the relationship between ethical leadership and work outcomes. Furthermore, meaningful work mediates the relationship between ethical leadership and turnover intention.
Practical implications
The study offers practical suggestions for managers to mitigate the negative impact of POP on meaningful work and employee retention.
Originality/value
This study adds to previous research by analyzing the separate and combined effects of ethical leadership on five dimensions of POP – communication, resources, decisions, reputation and relationships. Furthermore, this study adds empirical evidence on how POP influence meaningful work and employee retention.
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Exploiting a sample of 80 conventional banks (CBs) and 35 Islamic banks (IBs), this study aims to distinguish the IBs’ performance from their conventional peers in 7 Middel East…
Abstract
Purpose
Exploiting a sample of 80 conventional banks (CBs) and 35 Islamic banks (IBs), this study aims to distinguish the IBs’ performance from their conventional peers in 7 Middel East and North Africa (MENA) economies over the period 2005–2014 covering the 2008 GFC.
Design/methodology/approach
To avoid misleading results, this research used panel-corrected data from outliers effects by quantile method. Then, following the use of the two-sided Student’s t-test and the discriminant function analysis (DFA), we adopt nonlinear panel models (Random Logit and Pooled Probit) to further distinguish between banks. Then, we focus on the stability side through dynamic Generalized method of moment (GMM) linear models and interaction variables to capture the 2008 global financial crisis (GFC) impact on IB performance.
Findings
Univariate tests show that IBs are, on average, less profitable, more liquid and capitalized, less stable, have higher credit risk and are more solvent than CBs. In addition, the difference between the two types of banks was significant pre- and post-GFC; IBs are more profitable pre-GFC and more solvent post-GFC. In accordance with the univariate t-test results, the nonlinear pooled probit model (random logit) confirms that banks, which have more liquidity, are better capitalized, more solvent and less stable (less stable) are more likely to be IBs. From the DFA, stability was the first financial ratio important to discriminate between the two types of banks. In line with the DFA results, from the dynamic models, once the interaction variables are integrated, the GMM estimation result suggests that stronger macroeconomic stability and higher profitability, capital adequacy ratio (CAP) and liquidity are linked to increased IBs stability in the 7 MENA economies post-2008 GFC.
Originality/value
The present study contributes to the ongoing debate by conducting a formal empirical analysis, taking account of a range of considerations (outliers correction, interaction variables and 2008 GFC impacts) that to the best of our knowledge have not been considered by prior studies for the MENA zone.
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Pedro Garcia-del-Barrio and Giambattista Rossi
The paper aims to revisit the debate on the priorities of football clubs in talent hiring with respect to maximizing sporting performance or economic profitability. Based on the…
Abstract
Purpose
The paper aims to revisit the debate on the priorities of football clubs in talent hiring with respect to maximizing sporting performance or economic profitability. Based on the degree of media exposure of the clubs, we examine whether the clubs’ objectives include, in addition to the classic twofold choice, the aspiration of club managers to gain popularity through media exposure.
Design/methodology/approach
This paper applies structural equation modelling (path analysis) techniques to re-examine what is the more realistic description of football club owners’ decisions when hiring talent. Our database comprises teams from the first division of four top European football leagues: 80 observations per season during the pre-COVID period spanning from 2009/10 to 2017/18.
Findings
The results suggest that, when recruiting players, in addition to considering the two classic objectives (wins and profits), club owners also seem to aim expanding the media exposure and popularity of their clubs. Our study reveals that, to explain talent-hiring decisions in football, the ability to attract media attention is as crucial as sporting performance could be. Furthermore, by examining the direct, indirect and total effects on annual revenue, we found that our media visibility index performs a mediation effect connecting sports performance and revenue.
Originality/value
An innovative feature of our analysis is the use of the MERIT media visibility index, which jointly captures the on-field and off-field players’ skills. The consistency and robustness of the results derive from the various specifications of the estimated models.
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