Based on institutional theory, the current study examines the relationship of coordination, job security, psychological safety, and coercive pressure with employees’ performance. Further, coercive pressure is treated as a boundary condition between coordination, job security, and psychological safety with employees’ performance. A survey method was used to collect data from 235 faculty members of higher education institutions (HEIs) in Pakistan. Study results show that there is a positive and significant relationship between job security and coordination with employees’ performance. The results also reveal that coercive pressure moderates job security, coordination, and psychological safety with employees’ performance. Implications for organizations and HEIs administration are discussed.

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.

Based on the learning organization theory the main purpose of this research is to discuss how demographics variables affect the learning organization disciplines perception in faculty members of higher education institutes (HEIs) of Pakistan. This study explores that how demographic variables affect the learning organization disciplines perception at the HEIs level. We use the demographic variables and learning organization model in higher education institutions of Pakistan. In doing so, we used a survey instrument to collect data from 253 faculty members of HEIs in Pakistan. In addition, 15 in-depth interviews were conducted with the same respondents. Study findings revealed that there is a low application of the learning organization disciplines in HEIs in Pakistan. Further study also explains that demographic variables generated a variance of 2.7% in learning organization culture. Further, this study suggested some substantial implications for universities and regulatory bodies of HEIs.

Based on the resource-based theory, the current study examines the relationship between competitive strategies and strategic alliance performance. Furthermore, big data predictive analytics is treated as a boundary condition between competitive strategies and strategic alliance performance. Big data of predictive analytics in operations and industrial management has been a focal point in the current era. There has been little attention has about big data predictive analytics influences on competitive strategies and strategic alliance performance, especially in developing countries like Pakistan. A survey instrument was used to record the responses from 331 employees of the telecom sectors companies working in Pakistan. Study findings show that big competitive strategies have a positive and significant relationship with strategic alliances performance. It was also found that big data predictive analytics plays the role of moderator between competitive strategies and strategic alliance performance. The study add a new perspective and contribution to the literature on big data predictive analytics, strategic alliance performance, and competitive strategies in Pakistan's telecom sector companies. Further, the study results explain that big data analytics is just like the companies' lifeblood in the current era. The efficient and effective use of big data analytics, companies can boost their standards in a competitive environment.