Green supply chain management (GSCM), a cross-disciplinary field has grown during recent years with increasing interest from both academia and industry. GSCM considers emphasizing environmental issues in Traditional Supply Chain Management (TSCM). Due to the new trends in global warming, environmental sustainability has become a greater concern among the organizations and enterprises globally. This study will focus on green supply chain management practices in the presence of green innovation. Green innovation will improve organizational processes as well as products, which lead to economic and environmental performance. Different institutional actors are putting pressures to implement Green supply chain management practices. Population of this study is electronics industry in Pakistan. Sample size is 500 with cluster sampling technique. Data has been collected through a survey method based on the adopted questionnaire. The collected data will be tested through Cronbach Alpha, Descriptive Statistics, Pearson Correlation, Linear Regression, Moderated Regression, Multiple Logistic Regression and Hayes’s statistical tests to analyse the suggested research model. This study will enable organizations to implement green supply chain management practices to bear institutional pressure and move towards green innovation to enhance their economic and environmental performance that were never possible before this study.

Increasing supply chain performance (SCP) has always been a common phenomenon in the history of organizations. Recent technological advancements [including, radio frequency identification (RFID) in combination with big data predictive analytics (BDPA)] have been able to significantly leverage SCP. In this respect, there is an urgent need for acceptance of RFID technology as well as BDPA to be empirically investigated in order to better understand the enhancement of SCP. Therefore, this paper aims at establishing and empirically investigating the relationship between BDPA acceptance, RFID acceptance, and SCP, respectively. The population of this paper comprises the pharmaceutical logistics industry in China. The sample was obtained from employees through the use of a simple random sampling method. Data were collected through an adapted questionnaire. SmartPLS 3.0 software was used for structural equation modeling analysis. Partial least square-structural equation modeling (PLS-SEM), the value of path coefficient, was found to be 0.700. This showed a direct positive effect of BDPA acceptance on SCP. Moreover, RFID acceptance was also tested through the ''variance accounted for'' method of mediation. Results showed a partial mediation of 57% between BDPA and SCP. Theoretically, this paper fills the knowledge gap by finding relationships between BDPA and SCP via a mediation role of RFID technology. Practically, it would be beneficial for supply chain managers in the pharmaceutical industry to adopt and implement BDPA and RFID technology so as to enhance SCP.INDEX TERMS Big data predictive analytics, Internet of medical Things (IoMT), radio frequency identification, pharmaceutical logistic, supply chain management, supply chain performance.

The present study shows the synthesis of silver nanoparticles (Ag NPs) using a methanolic and aqueous extract of R. stricta. UV–visible spectroscopy, energy-dispersive X-ray diffraction (EDX), field emission scanning electron microscopy (FESEM), and Fourier transform infrared spectroscopy (FTIR) techniques were used to further characterize the Ag NPs. UV–visible spectra give surface Plasmon resonance (SPR) at 490–560 nm for Ag NPs. The existence of various functional groups existing in biomolecules capping the nanoparticles is indicated by the FTIR spectrum. The average size of Ag NPs is 20–35 nm, while the shape is spherical, as confirmed by FESEM. The plant extract and Ag NPs were evaluated against their antioxidant, antibacterial (Staphylococcus aureus, E. coli, and Salmonella typhi), and antifungal activities (Trichophyton longifusis, Candida albican, and Fusarium solani), where the Ag NPs exhibited superior activity versus the plant extract. The inhibitory effect of NPs against the tested strain was more effective as compared to the crude extract of R. stricta.

The technological transformation has led to the introduction of mini computers as wearable computers which facilitate users to use the Internet, different applications, messaging, and for calls all on one platform. The focus of these wearable computers in earlier studies has been on consumers and technical aspects, and their application has not been explored from an organizational perspective. This means that the recent introduction of wearable technology has great potential, which is untapped in the organizational context, especially for supply chain collaboration (SC). In this study, wearable technology is thought to offer huge potential for organizations in SC. Therefore, the purpose of this study is to empirically examine the role of wearable technology i.e. Smartwatch in enhancing collaboration among supply chain members with mediating roles of green training (GT) and emotional intelligence (EI). The population of this study is the pharmaceutical industry in Pakistan. Simple random sampling method has been used to collect data from 150 sample size. Data have been collected through offline and online survey method. Data have been analyzed through partial least square-structure equation modeling (PLS-SEM) technique. The results of this study have empirically tested the established conceptual framework. Continuance intention to use smartwatch has a positive effect on SC. Furthermore, GT and EI have mediating roles between continuance intention to use smartwatch and SC. It is concluded that the continuance intention to use smartwatch will increase SC. GT and EI will strengthen the relationship between continuance intention to use smartwatch and SC. The use of wearable technology will motivate employees to communicate rapidly and to monitor their supply chain activities using web-based and other applications. This study has practical implications in organizations and theoretical contribution to literature.INDEX TERMS Internet of things, emotional intelligence, green training, smart watch, supply chain collaboration, theory of planned behavior, wearable technologies.

Distribution concept was the origin of marketing. Every organization has realized that they can enhance their performance through strengthen their network channels and through the adaptation of new, Radio-frequency identification (RFID), technology. In this study, the relationship between network channel and organizational performance has been established. RFID technology is focused to strengthen network channel to gain competitive advantage, which will result to enhance organizational performance. The nature of this study is correlation based on deductive approach and quantitative nature through survey method based on the adoptive questionnaire. The population of this study is retail industry in China. The sample size is 100 with random sampling technique is used. The results from this study show that network channel affect organizational performance while the competition plays the mediating effect and radio-frequency identification technology play the moderated effect on the relationship between network channel and organizational performance. This study will improve organizational performance in retail industry and will reduce the cost of network channel, which will result to increase organizational performance.