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Recent research provides limited knowledge about how and whether digital transformation related to environmental, social, and governance (ESG) affects the total factor productivity (TFP). To fill the gap, this study explores the impact of digital transformation on TFP based on a fixed‐effect model and the staggered difference‐in‐differences method and reveals that digital transformation can boost corporate TFP. Mechanism analysis reveals that digital transformation promotes ESG performance in companies, thereby affecting TFP. Social performance in ESG plays a mediating effect, while environmental performance plays a suppressing effect. Besides, the primary driver of TFP improvement through digital transformation lies in its direct effect, whereas the indirect effect of ESG factors is relatively limited. Our findings provide new insight into how digital transformation promotes corporate ESG and productivity. [ABSTRACT FROM AUTHOR]

Organizations are advised to consistently seek and assimilate novel information from external sources to enhance their adsorptive capacity and better understand and address environmental challenges. Despite the evident influence of external knowledge on absorptive capacity and green innovation performance (GIP), there is a notable dearth of discussion on the internal mechanisms facilitating this transformation, potentially leading to adverse consequences for GIP. In response to this gap, our research intends to explore the direct impact of organizational forgetting (OF) on GIP, both independently and through potential absorptive capacity (PAC) and realized absorptive capacity (RAC). Further, this investigation incorporates the moderating role of organizational improvisation (OI) to provide a comprehensive understanding of an encompassing model. Utilizing structural equation modeling (SEM) on data from 321 respondents from Chinese manufacturing firms, our findings reveal that OF significantly contributes to GIP, PAC, and RAC. Moreover, this association is partially mediated by both PAC and RAC. Further, OI expressively moderated the targeted relationships in confounding ways. Importance–performance map analysis also highlights the pivotal role of PAC with a notable performance value (68.812), while OF takes precedence in importance with a substantial value (0.572) compared to all exogenous variables. These insights contribute to an enriched understanding of the vital role OF plays in enhancing PAC, RAC, OI, and GIP—an aspect that has yielded inconsistent results in prior studies. Consequently, our findings advocate for increased investment by managers and policymakers in cultivating the capacity to absorb new knowledge as a strategic imperative for fostering innovation and GIP within industries. [ABSTRACT FROM AUTHOR]

Intellectual disability (ID), which affects around 2% to 3% of the population, accounts for 0.63% of the overall prevalence of neurodevelopmental disorders (NDD). ID is characterized by limitations in a person's intellectual and adaptive functioning, and is caused by pathogenic variants in more than 1000 genes. Here, we report a rare missense variant (c.350T>C; p.(Leu117Ser)) in HACE1 segregating with NDD syndrome with clinical features including ID, epilepsy, spasticity, global developmental delay, and psychomotor impairment in two siblings of a consanguineous Pakistani kindred. HACE1 encodes a HECT domain and ankyrin repeat containing E3 ubiquitin protein ligase 1 (HACE1), which is involved in protein ubiquitination, localization, and cell division. HACE1 is also predicted to interact with several proteins that have been previously implicated in the ID phenotype in humans. The p.(Leu117Ser) variant replaces an evolutionarily conserved residue of HACE1 and is predicted to be deleterious by various in silico algorithms. Previously, eleven protein truncating variants of HACE1 have been reported in individuals with NDD. However, to our knowledge, p.(Leu117Ser) is the second missense variant in HACE1 found in an individual with NDD. [ABSTRACT FROM AUTHOR]

Fuzzy set theory is the most powerful tool to describe the process of uncertainty which exist in real world and fuzzy regression is an important research topic which can be used for prediction by establishing the functional relationship between fuzzy variables. Quantile regression is also a significant statistical method for estimating and drawing inferences about conditional quantile functions. This study introduced the idea of quantile regression with respect to fuzzy. The ordinary fuzzy regression is based on least square method but here we have introduced the idea of weighted least absolute deviation method in fuzzy regression. We have considered two different cases for the illustration of our proposed technique, firstly when the input and output are taken as fuzzy and secondly, the input and output are taken as fuzzy but the parameters are crisp. The algorithm for each case is based on linear programming problem (LPP). The LPP is constructed for individual case and solved it by the method of Simplex procedure. The proposed work is then compared with the conventional fuzzy regression by using AIC criterion. Empirical study shows that the proposed technique works best in every situation where the fuzzy regression fails and also provide the results in depth. [ABSTRACT FROM AUTHOR]

Due to growing consciousness and pressure from concerned stakeholders, organizations have started to prioritize green management practices (GMP); however, little is known about the critical role of organizational motives (OM) for achieving GMP. Following the stakeholder theory, this study intends to examine the relationship between stakeholders' pressure (STP), organizational motives (OM), and GMP in an encompassing model. Three hundred and eight responses were collected from the Pakistani manufacturing industry, and hypotheses were confirmed employing structural equation modeling (SEM). Empirical results indicate that primary and secondary stakeholders' pressure has a substantial effect on OM. Further, each motive, such as instrumental, relational, and moral, substantially impacts GMP. Besides, OM has been found to partially mediate the relationship. Importance-performance analysis specified that the importance and performance values of STP are higher than OM for GMP. The conclusion emphasizes the essential role that STP can play in realizing GMP in manufacturing industries through OM. These novel findings suggest worthy insights for managerial staff and policymakers on enhancing GMP adoption through OM in emerging economies. [ABSTRACT FROM AUTHOR]