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Purpose: This study aimed to investigate the big data analytics capabilities (BDAC) model using resource-based theory (RBT) and dimensions of big data analytics (management, technological, and talent) that influenced the firm innovation performance. Design/methodology/approach: The research uses quantitative research design where 548 respondents were selected for the survey from Pakistan electronic media regulatory authority (PEMRA), national database and registration authority (NADRA), and cellular companies. Only 394 useable responses were received from the respondents. Findings: The findings revealed that BDAC has a statistically positive impact on firm innovation performance. All of the proposed hypotheses were approved in this study. Research limitations/implications: The study gives future direction to the researchers and practitioners to implement this model in other industries. Practical implications: The research makes important theoretical and methodological contributions to the business and society's nexus in developing country firms that are under economic pressure. Originality/value: The paper is new in the context of the developing firm's innovation.

This study aims to see how the big data analytics capability (BDAC) and its dimensions affect the absorptive capacity and autonomous R&D of high-speed railways. As well as their impact on the organization’s long-term sustainability, using the mediation of absorptive capacity and autonomy in R&D. Employees and the heads of the planning, HR, R&D, and technical departments of high-speed railways were polled for information. For data analysis, we used PLS-SEM, and then we employed mediation analysis. BDAC increases the organization’s ability to tolerate change and gives management instructions on making decisions. This study adds to the body of knowledge on absorptive capacity development and autonomy over R&D activities by investigating the role of BDAC in the long-term development of high-speed trains.

This study examines the relationship between empowering leadership and employees' job performance in Pakistan's telecom sector based on the leadership theory. The Telecom sector is suffering from a volatile situation; this demonstrates a lack of empowering leadership, which leads to the employees' job performance. Further, this study explores that goal clarity, and self-efficiency mediate between empowering leadership and employees' job performance. That explains the significance of these two mediators for this study's proposed model. These two variables strengthen the relationship between empowering leadership and employees' job performance. The data was collected from the employees of the Telecom sector of Pakistan. The survey was utilized to collect the information from 331 participants. Structural equation modeling technique was utilized through Smart PLS for analysis of data. Study results reveal that empowering leadership has a positive and significant relationship with the employees' job performance. Secondly, findings show that goal clarity and self-efficacy mediate empowering leadership and job performance. These two variables have a positive and significant relationship with empowering leadership and employees' job performance. This study also has potential implications for the organization's management to work on these aspects to improve the performance of their employees. This study is helpful for the other sectors for improving their performance. Companies' management should work individually and collectively for organization performance. This research contributes to the future research aspect for further analyzing these variables in other sector organizations to test this model. This research also provides direction to researchers to deeply analyze this proposed model by obtaining data through interviews or discourse analysis.