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This study aims to analyze whether family ownership and working capital management (WCM) affect firm profitability and liquidity. Further, we also investigate the moderating effect of family ownership on the association between WCM, firm profitability and liquidity.

This study uses a sample of 150 nonfinancial companies listed on the Pakistan Stock Exchange for the period 2014–2019. For empirical analysis, this study used multiple proxies of family ownership and applied robust and bootstrapped quantile regression models.

The results suggest that family ownership has a negative association with firm profitability and liquidity. Moreover, this study finds a positive association between WCM and firm profitability and liquidity. Furthermore, the results indicate that family ownership negatively moderates the association between WCM and firm profitability. In addition, we argue that family ownership rescinds the impact of WCM as excess liquidity may be used for extracting private benefits and related party transactions.

First, this study has examined the nexus between family ownership, WCM, firm profitability and liquidity in the context of a developing country, i.e. Pakistan. Second, previous studies have not analyzed the moderating role of family ownership in the association between working capital management, firm profitability and liquidity. Third, this study provides unique evidence that family-owned firms have an adverse liquidity position as compared with other firms.

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.

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.

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.

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.

The purpose of this study is to find out the role of positive personality traits such as honesty-humility, emotionality, extraversion, agreeableness, conscientiousness and openness to experience (HEXACO) in the development of empowering leadership, and also determine the impact that mastery goal orientation and work engagement play in linking the effects of an empowering leader on the creative performance of their followers.

The quantitative research design is used along with a deductive approach to achieve the objectives of the study. Data from 337 employees in the telecom sector was collected through self-administered questionnaires using the purposive sampling method. SEM-AMOS methods were used to conduct the analysis, and regression analysis was used to test the formulated hypotheses.

The study’s findings indicated that each component of HEXACO (honesty-humility beta values = 0.086, p < 0.05, emotionality values as β = 0.275, p < 0.001, extroverts β = 0.217, p < 0.001, consciousness β = 0.277, p < 0.001 and agreeableness β = 0.063) played a significant role in fostering empowered leadership. The results also suggested that there is a sequential mediation of mastery goal orientation and work engagement in the relationship between empowering leadership and creative performance.

This study is unique since it covers the antecedents and outcomes of empowering leadership. For antecedents, the study used the HEXACO personality model with all its elements to identify its role in the development of empowering leadership. Moreover, the study also used mastery goal orientation and work engagement as sequential mediators to check the impact of empowering leadership on the creative performance of employees.

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.