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There is a growing need to promote and practice sustainable HRM to foster greener organizations with trained employees who have an attitude and behavior to preserve depleting resources. The purpose of this study is to highlight the importance of sustainable green human resource management (Green HRM) practices along with organizational identification (OI) as a mediating factor and perceived organizational support (POS) as a moderating factor.

Quantitative methodology was used, and the data were collected from 311 employees working in telecommunication organizations located in the twin cities of Rawalpindi and Islamabad, Pakistan. Results of the study are based on the structural equation modeling technique using Smart-PLS.

Findings revealed that OI proved to be a significant positive mediator between Green HRM and organizational citizenship behaviors for the environment. POS also proved to be a significant moderator on the relationship between Green HRM and OI.

The study is limited to the two cities of Pakistan; future studies can focus on more cities so that the results can be more generalized.

This study will especially be useful for HR practitioners to develop mechanisms to initiate and encourage sustainable HR practices.

Organizations’ positive position is established through the inculcation of green activities among their employees. Thus, a sense of responsibility and attachment among employees toward green behavior makes them good citizens. It also works well for their organization as well as for the environment. Moreover, it preserves environmental resources and helps ensure sustainability.

The research paper was aimed at exploring the importance of sustainable Green HRM practices in a developing country like Pakistan.

The purpose of this paper is to evaluate the prevalence and antibiograms of bacteria isolated from various fresh fruit juices at a local market in Faisalabad.

Fresh fruit juice samples (n=125) were randomly collected using aseptic technique. Each sample (10 mL) was serially diluted with 90 mL of sterile peptone water, from 1×10⁻¹ to 1×10⁻⁵. Each dilution was then used to inoculate nutrient agar by surface spread plating. Aerobic colony counts (ACCs) were determined by colony counting. The isolates were sub-cultured on blood and MacConkey agar. Preliminary identification was achieved on the basis of colony morphology and culture characteristic, and confirmed by API® 20E, 20NE, and API® Staph testing. Antimicrobial susceptibility testing was carried out using the Kirby-Bauer disk diffusion assay, per CLSI 2015 guidelines.

The mean ACC ranged from 2.0×10⁶ CFU/mL to 4.93×10⁶ CFU/mL, with the highest ACC determined for orange juice. Overall, 153 polymicrobial were identified in 125 samples; 103 of these were Gram-negative rods (GNR) and 28 were Gram-positive cocci (GPC). Escherichia coli (n=38), Klebsiella pneumoniae (n=32) and Pseudomonas aeruginosa (n=24) were the predominant GNR; Staphylococcus aureus (n=28) was the predominant GPC. Antibiogram analysis revealed that all GNR were resistant to ampicillin. However, most E. coli isolates were resistant to ceftazidime (72.4 percent of isolates), and ceftriaxone and cefepime (68.9 percent), while most K. pneumoniae isolates were resistant to cefepime (72 percent) and ceftriaxone (64 percent). All S. aureus isolates were resistant to penicillin, while most (64 percent) were resistant to piperacillin; the most effective drugs against bacteria were vancomycin and imipenem.

The findings suggest that the local government regulatory food and public health authorities should take immediate emergency measures. Appropriate surveillance studies and periodic monitoring of food items should be regularly performed to safeguard public health.

The current study revealed the prevalence of multidrug-resistant bacteria in freshly prepared fruit juices sold by local street vendors.

This study aims to analyze access of cotton growers to Sustainable Livelihoods Assets Pakistani Punjab.

This study uses the department for international development (DFID’s) sustainable livelihoods framework (DFID) (1999). Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4.

Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).

This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. The study contains significant and new information.