Corporate social responsibility (CSR) is receiving a supreme interest, and several experts have revealed the outcomes of CSR disclosure (CSRD) toward organizational performance across the globe. Nevertheless, less attention has been paid to empirical contribution with respect to marketing and sales management, especially from developing nations. This study investigates the impact of CSRD practices, that is, internal (ICSRD) and external (ECSRD) to organizational sales performance (OSP). Data were collected from 450 managers within Small and Medium Size Enterprises (SMEs) of Pakistan and analyzed using structural equation modeling. The findings revealed the positive relationships between OSP and disclosure of CSR activities both ICSRD and ECSRD, that is, responsibility to the environment (ER), community (CR), customers (CCR), suppliers (SR), employees (EER), and responsibility to government rules & regulations (GR). The comprehensive analysis unveiled the higher significant effect of ECSRD than ICSRD.The study provides multidimensional insights for strategic management to support CSR notion and to engage stakeholders pursuing such practices to augment OSP dynamically.This study furnishes research possibilities for practitioners and academicians.

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Hybrid services use different protocols on various networks, such as WIFI networks, Bluetooth networks, 5G communications systems, and wireless sensor networks. Hybrid service compositions can be varied, representing an effective method of integrating into wireless scenarios context-aware applications that can sense mobility via changes in user location and combining services to support target functions. In this article, improved particle swarm optimization is introduced into the quality service evaluation of dynamic service composition to meet the mobility requirements of hybrid networks. First, this work classifies hybrid services into different task groups to generate candidate sets and then interface matching is used to compare the operations of candidate services with user requirements to select the appropriate services. Second, the service composition is determined by the particle swarm optimization simulation process, which aims to identify an optimal plan based on the calculated value from quality of service. Third, considering a change of service repository, when the quality of a composite service is lower than a predefined threshold, the local greedy algorithm and global reconfiguration method are adopted to dynamically restructure composite services. Finally, a set of experiments is conducted to demonstrate the effectiveness of the proposed method for determining the dynamic service composition, particularly when the scale of hybrid services is large. The method provides a technical reference for engineering practice that will fulfill mobile computing needs.