Today's business organizations require increased effectiveness and competitive advantage that can be achieved through High Performance Work Systems (HPWS). This study is proved the same effect in commercial banking sector of Pakistan through a quantitative research design using random sampling technique. A valid and reliable questionnaire tool was used to analyse the data through various statistical techniques. Employees' attitude concerning organizational performance influenced via various practiced HPWS measured in organizational commitment, job satisfaction, and employee turnover intention. The study revealed that reward system and selective staff are not aligned to employee attitude. Overall the study depicts that conventional banks are incapable to adopt HPWS practices in adequate, satisfactory, worthwhile, dynamic, and advantageous way. Additionally, short courses on career planning and development could spur colossal organizational growth among conventional banks in Faisalabad, Pakistan. Request access from your librarian to read this article's full text.

The main purpose of this paper is to establish a relation between fuzzy soft lattices and fuzzy soft Priestley spaces. We have proved that each bounded distributive lattice of fuzzy soft sets is isomorphic to the lattice of all clopen upsets of a Priestley space. For this reason, we have defined fuzzy soft upsets, fuzzy soft downsets, fuzzy soft filters, fuzzy soft ideals and fuzzy soft Priestley space. To endorse the above relation, we have proved some related results.

A multigranulation roughness over dual universes establishes a unique viewpoint on the mixture of multigranulation data. Spherical fuzzy set is an extension of all existing theories such as fuzzy set, pythagorean fuzzy set, intuitionistic fuzzy set, and picture fuzzy set. This theory gives a more flexible structure for handling uncertainty and inaccuracy in decision‐making problems compared to all the extensions of fuzzy set. This paper introduces optimistic multigranulation roughness of a spherical fuzzy set based on two soft binary relations over dual universes. In this regard, we obtain two spherical fuzzy soft sets with respect to foresets and aftersets. A comprehensive study of the basic properties of this new approach has been studied in order to explore this concept. Then, by extending this idea, we present optimistic multigranulation roughness of a spherical fuzzy set over dual universes based on multiple soft binary relations. Moreover, a decision‐making algorithm depending on these approximations of spherical fuzzy sets is presented, and a practical example to choose a university professor is given. Two different panels of interviewers analyze the candidates based on different parameters by using the spherical fuzzy concept. This approach will be better and more flexible than other existing techniques.