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The strict regulations and reporting requirements in microfinance institutions require a high level of knowledge and expertise in finance, accounting and risk management. Therefore, microfinance institutions (MFIs) must possess a high absorptive capacity to understand their customers’ needs and develop appropriate products and services to meet them. This study explains how organizational culture influences absorptive capacity in MFIs, with a particular focus on the mediating role of knowledge sharing.

Data were collected from 450 randomly selected employees of microfinance banking institutions in Pakistan. The data were tested for reliability and validity, and hypotheses were tested through structural equation modeling in WarpPLS 8.0.

The findings show that knowledge! sharing mediates the relationship between organizational culture and absorptive capacity. Thus, MFIs should promote knowledge sharing as a cultural value to improve their ability to acquire and utilize new knowledge, enhance absorptive capacity to drive innovation and facilitate the development of new products and services.

MFIs with higher absorptive capacity are more likely to be able to respond to changes in the market, such as new technologies or shifting customer demands. Therefore, managers should promote a culture of sharing knowledge and expertise to ensure adaptability in dynamic market conditions.

This research provides a framework for organizations to better understand the role of knowledge sharing in their success and how to leverage it to enhance their absorptive capacity. It is valuable for academics and practitioners seeking to improve organizational performance and competitiveness.

The main purpose of this paper is to empirically investigate the spiraling effects of workplace incivility. In doing so, the authors examine how workplace incivility begets other forms of mistreatment such as ostracism and abusive supervision, which in turn hinders employees’ job performance. In addition, the authors also test the buffering role of social skills in this process.

This study investigates a mediated moderation model with multitime and multisource data from 205 employees working in different Pakistani-based organizations (self-rated at T1 and supervisor rated at T2).

The results of this study provide support to the predictions that workplace incivility diminishes employees’ ability to perform through parallel mediations of ostracism and abusive supervision. The empirical findings also show that social skills moderate the negative relationship between abusive supervision and job performance.

This work extends the contemporary slant in workplace incivility, ostracism and abusive supervision literature by providing empirical evidence of spiraling effects of workplace incivility. In addition, the authors also tested the critical buffering role of social skills in mitigating the negative effects of such mistreatments at work.

Microfinance institutions (MFI) must adapt to rapidly changing market conditions, including stringent regulations and diverse customer demands, necessitating a high absorptive capacity. This research elucidates how organizational culture promotes knowledge sharing, thereby enhancing an organization’s ability to absorb and utilize new knowledge, with particular attention to the moderating role of MFI size.

Data were collected from 450 randomly selected employees of MFIs in Pakistan. Hypotheses were tested using structural equation modeling in WarpPLS 8.0.

The findings show that knowledge sharing mediates the relationship between organizational culture and absorptive capacity. The impact is more pronounced in larger MFIs, while smaller MFIs exhibit greater agility in adapting to new knowledge.

MFIs, particularly in dynamic markets like Pakistan, should enhance their absorptive capacity by fostering an organizational culture that promotes knowledge sharing. While larger MFIs benefit from structured knowledge-sharing practices, they should address potential bureaucratic impediments to maintain agility.

By improving absorptive capacity, MFIs can better innovate and tailor their services to underserved communities, contributing to financial inclusion and poverty alleviation in Pakistan. This research provides insights for policymakers and practitioners on fostering sustainable development through strategic organizational practices in MFIs.

The findings offer a practical framework linking theoretical concepts from the resource-based and knowledge-based views to real-world applications, particularly in developing economies. It emphasizes the crucial role of organizational culture in enabling MFIs to adapt and thrive in challenging environments.

In the context of the environmental degradation challenge in manufacturing firms, greening the supply chain (SC) is the most widely endorsed method to mitigate the adverse repercussions of climate change. Based on organizational learning and resource dependence theories, the aim of this research is to know how green supply chain external integration (GSCEI) and green supply chain internal integration (GSCII) influence ambidextrous green innovation (AGI). It also examines the mediating roles of green absorptive capacity (GAC) and green knowledge integration capability (GKIC), as well as the moderating role of green technology dynamism (GTD).

To assess the hypothesized model, data were obtained with 386 questionnaires from managers employed in manufacturing firms in Pakistan applying a cross-sectional approach. A partial least square structural equation modeling technique was implemented to evaluate the data.

The results revealed that GSCEI and GSCII substantially impact AGI. Moreover, GAC and GKIC serve as mediators between GSCEI and AGI. GAC and GKIC also intervene in the relationship between GSCII and AGI. GTD was significant as a moderator for the correlation between GSCEI and AGI. However, it does not moderate the relationship between GSCII and AGI.

This research offers significant comprehension and an innovative approach for manufacturing organizations to curb environmental corrosion by stimulating AGI through green SC integration. It suggests to practitioners that integrating internal knowledge with external partners expands communication and collaboration to ensure that resources connected with environmental preservation flow smoothly.

This research is a valuable addition to the field, as it explores for the first time the missing link among the studied constructs. It opened the black box of how knowledge-related capabilities facilitate knowledge resources to elicit AGI, an area that has not yet been explored.

This paper aims at the analytical formulation of the electromagnetic features of flux switching permanent magnet (PM) machines with emphasis on the PM air gap flux density and armature magnetic reaction.

The PM air gap flux density is formulated considering three different analytical models. These differ by the incorporation of the air gap magnetic saliency level from the stator side. In addition, the armature magnetic reaction is investigated based on a simplified magnetic reluctance circuit that considers the flux switching permanent magnet machines magnetic circuit geometry specification. Then, the no- and on-load torque is predicted based on the two air gap flux densities.

It has been found that the PM air gap flux density considering the stator saliencies with trapezoidal magnetomotive force waveform presents the highest accuracy. Despite the simplicity of the magnetic equivalent circuit-based approach, the predicted air gap armature magnetic reaction is in good agreement with the finite element analysis (FEA) one. These lead to the analytical predictions of the no- and on-load torque which is characterized by an acceptable accuracy.

This work should be extended to experimental validation of the FEA results regarding the torque production generation.

The paper proposes an improved design-oriented analytical approach with emphasis on the PM air gap flux density and the armature magnetic reaction of flux switching PM machines.

In the construction industry (CI), inaccurate loose material measurements pose waste and economic challenges, accounting for approximately one-third of project cost overruns, representing 60% of the overall construction costs. Current practices for measuring loose construction materials are riddled with errors, direct adjustments and missing real-time oversight, resulting in waste, inefficiencies and cost escalations. This study aims to address this issue by automating the weighing mechanism of loose materials while regularly monitoring them during transportation from the source.

In this study, an innovative Internet of Things (IoT) solution: a smart vehicle-mounted weighing (VMW) system was developed using the smart sensors, Arduino while using C++ language. Initially, a prototype was developed and tested/ refined while experimenting on a Tractor trolley loaded with loose construction materials. Statistical methods were employed to test the validity of the developed system against traditional methods of weighing. Finally, the system was tested and optimized in a real project through a case study.

The empirical findings reveal that the IoT-enabled smart weighing system achieved an accuracy exceeding 95% during rigorous field assessments. A comprehensive case study highlighted significant cost savings, with 2.7% for subbase materials and 5.94% for aggregate base materials. These results validate the successful development of the prototype, demonstrating its potential to improve material management, minimize waste, and enhance operational efficiency in construction projects while promoting sustainable practices.

Few studies have addressed fully automated measurement of loose materials during transport to construction sites. This study introduces a novel IoT-enabled smart VMW system for real-time material monitoring and automated quantity takeoffs (QTOs). The system offers CI a reliable, transparent, and error-free material management tool, advancing current practices in material quantification thereby leading the CI toward sustainability using the latest technologies.

Currently, innovation performance (IP) and innovation quality (IQ) are essential intertwined constructs that help small- and medium-sized enterprises (SMEs) thrive in a competitive business environment and achieve long-term success and sustainability. This paper aims to examine the effect of top management knowledge values (TMKVs), knowledge-oriented culture (KOC) and rewards on IP and IQ through knowledge sharing.

The authors used a deductive cross-sectional data approach and a standardized questionnaire adopted from the literature to obtain responses from the employees of Egyptian manufacturing SMEs. The authors based this study’s findings on 316 usable samples by applying the purposive sampling technique.

Using structural equation modeling (SEM) with path analysis using SmartPLS4, the findings of this study demonstrate that TMKV positively affects IP but not IQ. On the one hand, the KOC and knowledge-sharing process (KSP) are positive enablers of IP and IQ. On the other hand, knowledge-based reward (KBR) has an insignificant effect on IP and IQ. Moreover, while KSP mediates TMKV’s and KOC’s connections with IP and IQ, it does not mediate KBR’s relationship with IP and IQ.

This study’s findings will help policymakers and planners create strategies through knowledge management to improve employees’ vision, commitment and dedication, culminating in a favourable impact on IP and IQ. These findings highlight the need to foster a knowledge-based culture that promotes communication networks, establishes trust and enables individuals to make decisions to enhance organizational success, IP and IQ.

In the case of a developing country, this study helps to fill the gaps by offering an integrated framework that simultaneously explores knowledge management enablers, IP and IQ.

Building on social cognitive theory and self-determination theory, this study aims to discern the innovative work behaviors of organizational employees as the process by which they generate, develop and implement new and valuable ideas, practices, products or procedures shaped by entrepreneurial leadership by reinforcing intrinsic motivation and creative self-efficacy under the boundary condition of a firm’s innovative climate.

This study used partial least squares-based structural equation modeling on a sample of 203 employees of small and medium-sized enterprises operating in Saudi Arabia.

This study found that entrepreneurial leadership improves employees’ innovative work behavior by successively enhancing their intrinsic motivation and creative self-efficacy. Furthermore, the analysis confirmed that a firm’s innovative climate significantly moderates the strength of the indirect mediation effect between entrepreneurial leadership and employees’ innovative work behavior through sequential mediation.

The findings of this study yield substantial theoretical and practical implications resulting from a fine-grained understanding of the instrumentality of entrepreneurial leadership in fostering employees’ innovative work behavior. Effectively orchestrating these psychological mechanisms could enable entrepreneurial leaders to alleviate their behaviors.

This is an original study that outlines the importance of aligning entrepreneurial leadership and an innovative climate to shape intrinsic motivation and creative self-efficacy in employees’ innovative work behavior. It demonstrates how entrepreneurial leadership enhances innovative work behavior through the sequential mediation of intrinsic motivation and creative self-efficacy under the boundary condition of an innovative climate.

The study principally aims to investigate the relationship among work–life balance (WLB), job satisfaction (JS) and employee commitment (EC) among the railway staff by integrating the social exchange theory (SET). The study also explores JS as a mediator in the context of the new normal.

A mixed-method sequential explanatory design was utilized for this study. The research instrument was administered to 533 railway employees, using purposive sampling to ensure reliability and validity. Structural equation modeling (SEM) was employed to analyze the quantitative data and measure mediation effects. Additionally, 15 interviews were conducted with employees from three job positioning groups (A, B and C) to gain further insights into commitment-related concerns.

The study found that WLB and JS positively influenced EC, with JS acting as a mediator between WLB and EC. Furthermore, factors such as fostering friendships among colleagues, effectively managing work–life integration and recognizing the importance of job roles were identified as crucial in enhancing the relationship between WLB and EC.

The study includes SET to examine the social exchange process while considering WLB benefits as a reward from the employer and EC as the outcome of this reward. This study contributes by examining the effects of COVID-19 on the railway industry and EC. The mixed-methods sequential explanatory design gave a comprehensive understanding of the relationships between WLB, JS and EC. The study’s implications highlight the importance of implementing supportive policies, such as flexible work schedules and a supportive organizational culture, to enhance employee commitment and reduce attrition rates. The study emphasizes the significance of prioritizing employee well-being to achieve organizational goals and enhance organizational commitment.

Many construction projects exhibit poor performance in terms of fulfilling predetermined schedules and financial objectives. Project control systems (PCSs) have been used to enhance construction project performance; however, a comprehensive framework regarding the key determinants of PCS effectiveness is lacking.

Herein, the determinants for effective PCSs that can improve construction project performance were comprehensively identified by evaluating existing studies. A systematic strategy following the preferred reporting items for systematic reviews and meta-analyses protocol was employed to search for and select relevant studies, followed by a qualitative synthesis.

The significance of incorporating and managing many factors associated with PCS for effective project delivery was elucidated. The study synthesized 12 key determinants and 29 sub-determinants of PCS effectiveness in project delivery and grouped them into organizational, human, technological and operational categories. Out of the four categories examined, operational aspects received the most references, underscoring their critical role in PCS effectiveness, while human-related dimensions received the least amount of attention in the reviewed research, accounting for 4%. This also revealed a significant gap in the research addressing the interactions between all PCS aspects.

Understanding of the variables influencing PCS effectiveness in construction project delivery was enhanced, and a framework for future PCS research in five dominant areas was created.