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This study aims to investigate the factors influencing successful and unsuccessful succession in Pakistani family-owned businesses (FOBs), with a focus on the interplay between formal governance practices and socio-cultural dynamics. By examining key elements in succession planning and leadership transition, the study offers insights tailored to the unique challenges faced by FOBs in emerging markets such as Pakistan.

Employing a multiple case study approach, this research examines generational transitions across ten Pakistani FOBs. Data were collected through semi-structured interviews with key family members involved in the succession process, with thematic analysis applied to identify patterns.

The findings indicate that proactive succession planning, formal governance mechanisms and thorough successor training are critical for achieving smooth leadership transitions in Pakistani FOBs. Companies that implement structured governance and clear succession processes experience fewer internal conflicts and greater business continuity. However, socio-cultural factors, such as seniority-based preferences and gender biases, present significant obstacles, often complicating the transition process. Additional challenges include resistance to modernized strategies, and sibling rivalry strongly influence succession outcomes in the Pakistani context and highlight the need for culturally sensitive governance approaches to improve business continuity.

Practical implications for family-owned businesses include early succession planning, structured governance mechanisms and comprehensive training for successors. Establishing family councils can minimize conflicts and align family goals. Addressing cultural biases, such as gender and seniority preferences, encourages merit-based succession, ensuring smoother transitions. These strategies enhance continuity, reduce disruptions and support sustained growth, particularly in culturally influenced contexts like Pakistani family-owned businesses.

By examining succession dynamics within the context of an emerging economy such as Pakistan, this study provides valuable insights into the unique cultural and organizational challenges facing FOBs. The findings enrich the understanding of succession in family enterprises and extend current knowledge on the influence of socio-cultural factors in business continuity.

As a highly knowledge-intensive activity, digitalization is changing the construction industry landscape and is encouraging construction firms to explore the transformation. This study establishes a new theoretical model aimed at examining the impact of three types of intellectual capital (IC) on digitalization through the lens of knowledge-based view and explores how IC and digitalization influence sustainability performance from the triple bottom line principles.

A questionnaire survey was conducted to collect data from Chinese construction firms using convenience sampling. A total of 181 valid responses were obtained. Then, a partial least squares structural equation modelling (PLS-SEM) technique was executed through Smart PLS 3.0 software. The measurement model was assessed to ensure reliability and validity, and the structural model was analysed to test the proposed hypotheses.

The empirical results confirm the positive impact of IC on digitalization and digitalization on sustainability performance. Moreover, digitalization plays a significant mediating role in the relationship between IC and sustainability performance.

The results provide empirical evidence supporting the different roles of IC and digitalization in improving sustainability. The findings contribute to enhancing the understanding of digitalization practices from the perspective of IC and provide theoretical and managerial implications for sustainability issues in the context of the construction industry.

Sustainability promotes specific and balanced circumstances which favours the survival of human population with the surrounding Mother Nature with proper synchronization. This practice ensures the use of all available natural resources in an equilibrated manner to satisfy the present needs along with the requirements of the succeeding generations. Agricultural sustainability reckons the role of healthy environment; society and economy in an integrated manner to promote food security and socio-economic development of the rural individuals. Normal agricultural practices have an unfathomed burden on the environment. This leads to various forms of environmental degradation like air and water pollution, soil depletion, climate change and loss of biodiversity. The sustainable agricultural practices aim to protect the environment, expand the Earth’s natural resource base and preserve or improve fertility of soil. Sustainable agriculture comprises with environmentally friendly farming methods that allow crops to be produced without harming natural systems. This prevents adverse impacts on soil, water, biodiversity as well as surrounding or downstream resources. In this present article we will analyse all issues related to mitigating environmental degradation through agricultural sustainability. Along with the proper assessment for agricultural sustainability is very crucial to understand the real scenario. This helps to take necessary measures for designing and its actual execution. The study constructed a composite index of agricultural sustainability by applying the principal component analysis method. Significant differences in agricultural sustainability were found among the states in India. It is important to mention that agricultural sustainability improved for all states in 2019 compared to 2016.

This research focuses on a very important research question of determining the appropriate feature selection methods for software defect prediction. The study is centered on the creation of a new method that would enable the identification of both positive and negative selection criteria and the handling of ambiguous information in the decision-making process.

To do so, we develop an improved method by extending the WASPAS assessment in the context of bipolar complex fuzzy sets, which leads to the bipolar complex fuzzy WASPAS method. The approach also uses Einstein operators to increase the accuracy of aggregation and manage complicated decision-making parameters. The methodology is designed for the processing of multi-criteria decision-making problems where criteria have positive and negative polarities as well as other ambiguous information.

It is also shown that the proposed methodology outperforms the traditional weighted sum or product models when assessing feature selection methods. The incorporation of bipolar complex fuzzy sets with WASPAS improves the assessment of selection criteria by taking into account both positive and negative aspects of the criteria, which contributes to more accurate feature selection for software defect prediction. We investigate a case study related to the identification of feature selection techniques for software defect prediction by using the bipolar complex fuzzy WASPAS methodology. We compare the proposed methodology with certain prevailing ones to reveal the supremacy and the requirements of the proposed theory.

This research offers the first integrated framework for handling bipolarity and uncertainty in feature selection for software defect prediction. The combination of Einstein operators with bipolar complex fuzzy sets improves the DM process, which will be useful for software engineers and help them select the best feature selection techniques. This work also helps to enhance the overall performance of software defect prediction systems.

Firms need competitiveness in terms of quality, price, and delivery to satisfy public sector customers. The purpose of this study is to investigate the effect of innovation capability on this competitiveness in a market-oriented firm and to determine the role of supply chain integration and marketing-technical integration in enhancing innovation capability.

A theoretical model was developed to test hypotheses. Data was collected from 199 top-level managers serving pharmaceutical companies. Partial least squares-structural equation modelling was used for datas analysis.

The results highlight the vital role of innovation capability in the development of firm competitiveness. Significant results for all relationships were obtained. The effect of market orientation on supply-chain integration was stronger than its effect on marketing-technical integration. Partial multi-mediation of supply chain integration and marketing-technical integration was found in the relation between market orientation and innovation capability.

The study helps managers develop an efficient strategy by using firms’ innovation capability to supply products according to public sector customer needs.

The study is based on a real-time practical problem faced by firms, as the majority of them fail to sell their products to public sector customers. To the best of the authors’ knowledge, the current study is one of the first studies that discusses the role of innovation capability at the marketing-supply chain management interface to help a firm become an attractive supplier for public sector customers.

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 manufacturing industry has recently faced many environmental issues and pressures due to increased environmental awareness. Business leaders identified that green innovation (GI) is a crucial aspect of sustainable development (SD) and can provide a competitive edge. On the other hand, boosting SD through GI is a complicated network activity involving various partners, and there is a need to transmit or share knowledge equitably and acceptably. Following the natural resource-based view (NRBV), this research presents a novel framework for investigating how green knowledge sharing (GKS) and green dynamic capabilities (GDC) affect green creativity (GC) and GI directly and through GC. Besides, the moderation of mimetic pressure (MP) was also evaluated in these targeted relations, as it is a critical element for enhancing GI in the context of SD.

Data consisted 232 respondents from Pakistani manufacturing industries, and seven substantial hypotheses were verified regarding the direct, mediating and moderating effect of targeted variables in confounding ways using partial least squares structural equation modeling (PLS-SEM).

According to the empirical findings, GKS and GDC positively correlate with GC and GI. Moreover, GKS and GDC significantly and positively impact GI both directly and indirectly. Furthermore, GC partially mediates GI, whereas MP has a significant moderating effect in these relationships.

A significant correlation among these constructs was observed, demonstrating the conceptual framework for this study. These findings can assist practitioners and academics gain a better understanding of how to manage and evaluate GI in manufacturing projects at both the project and firm levels. Therefore, policymakers and project managers can enhance GI by focusing more on GKS, GDC, MP and GC.

This study aims to investigate the influence of green human resource management (GHRM) practices on healthcare organization sustainability performance in Pakistan. It explores how perceived organizational support (POS) mediates the relationship between GHRM practices and healthcare organizational sustainability.

In the quantitative method, a questionnaire was used to acquire the perception of individuals via a simple random method. A total of 320 questionnaires were collected from the employees in the healthcare organizations of Pakistan, with a 47.70% response rate. Hypotheses were tested using SmartPLS (PLS-SEM).

The results reveal a positive relationship between GHRM practices and healthcare organization sustainability performance. POS partially mediated the relationship, strengthening the effectiveness of GHRM practices in boosting organizational sustainability.

The present study contributes to the understanding of GHRM practices in the healthcare industry, particularly in the context of emerging nations like Pakistan. It demonstrates a novel mediation role of POS to bolster the effectiveness of GHRM practices for gaining sustainability performance. The research proposes significant insight for both scholars and practitioners on how supportive corporate cultures affect the GHRM initiatives that foster economic, environmental and social sustainability.

This study aims to analyze the impact of political connection on the firm’s financial performance in presence of corporate governance.

The study utilizes panel regression analyses (OLS) and margin and contrast analysis techniques on a data set of Pakistan’s listed companies ranging from 2012 to 2021. For political connection, an aggregate score was calculated from political ties at the central, provincial and local level. Corporate governance was measured through an index using principal component analysis technique capturing its attributes comprised of board size, board tenure, board independence, board gender diversity, CEO duality, audit committee tenure and audit quality.

The study finds that politically affiliated individuals can exploit the wealth of firms. It also supports the positive role of corporate governance in augmenting the firm financial performance and further confirms that the presence of robust corporate governance practices can help mitigate the risk posed by the political connection.

The study provides valuable information to investors and offer insights into the investment opportunities available in nonfinancial sectors and identifies areas where investments may not yield favorable results. It provides solutions to the companies to effectively compose their boards and offset the adverse effect of political connection and capitalize on its potential benefits. Investors can draw upon these insights to inform and facilitate their investment decision-making processes. By gaining a better comprehension of the impact of political associations on corporate governance and performance, regulators and policymakers can better design policies that strike a balance between preventing abuses while still allowing firms to reap the benefits of political connections.

To the best of the authors’ knowledge, this is the first study that delves into an analysis to mitigate viz-a-viz offset the adverse effect of political affiliations by implementing robust practices of corporate governance. Further, in lieu of a binary indicator variable of political connection, this study applies a different approach to quantify the varying intensities of the political connections, which is a nascent method. It further undertakes margin & contrast analysis and also analyzes effect of different levels of political connections as well as the role of various attributes of corporate governance, which offer a novel contribution.

This study is the maiden attempt to understand the effect of specific human resource practices (HRPs) on employee retention (ER) with the mediation of job satisfaction (JS) and moderation of work experience (WE) and job hopping (JH) in the context of the textile industry.

This study adopted a quantitative methodology and applied quota sampling to gather data from employees (n = 365) of leading textile companies in India. The conceptual model and hypotheses were tested with the help of Partial Least Squares-Structural Equation Modelling (PLS-SEM).

The findings of a path analysis revealed that compensation and performance appraisal (CPA) have the highest impact on JS followed by employee work participation (EWP). On the other hand, EWP had the highest impact on ER followed by grievance handling (GRH). The study revealed that JS significantly mediates between HRPs like CPA and ER. During Multi-group analysis (MGA) it was found that the importance of EWP and health and safety (HAS) was more in employee groups with higher WE, but it was the opposite in the case of CPA. In the case of JH behavior, the study observed that EWP leads to JS in loyal employees. Similarly, JS led to ER, and the effect was more pronounced for loyal employees.

In the context of the Indian textile industry, this work is the first attempt to comprehend how HRPs affect ER. Secondly, it confirmed that JS is not a guaranteed mediator between HRPs and ER, it could act as an insignificant, partial or full mediator. Additionally, this study establishes the moderating effects of WE and JH in the model through multigroup analysis.