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Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet users. Several features can be used for creating data mining and machine learning based spam classification models. Yet, spammers know that the longer they will use the same set of features for tricking email users the more probably the anti-spam parties might develop tools for combating this kind of annoying email messages. Spammers, so, adapt by continuously reforming the group of features utilized for composing spam emails. For that reason, even though traditional classification methods possess sound classification results, they were ineffective for lifelong classification of spam emails duo to the fact that they might be prone to the so-called “Concept Drift”. In the current study, an enhanced model is proposed for ensuring lifelong spam classification model. For the evaluation purposes, the overall performance of the suggested model is contrasted against various other stream mining classification techniques. The results proved the success of the suggested model as a lifelong spam emails classification method.

The purpose of this study is to assess the key determinants of green human resource management (GHRM) and investigate its impact on environmental performance (EP) and business performance (BP).

The research employed SmartPLS 3 and follows a cross-sectional research design. Data from 179 employees were collected using a convenience sampling technique from the firms that adopted GHRM practices.

The research found a significant relationship of GHRM with EP and also reported the significant relationship between EP and BP. Moreover, EP significantly mediates the relationship of GHRM with BP.

A relatively small sample size of employees was used that may suggest the need for a diverse and more representative sample. The paper is based on data collected from the Malaysian manufacturing industry – other economic sectors and Asian countries may offer different results.

The paper identifies the need for incorporating GHRM practices and culture at the workplace to encourage positive green behavior in employees which will increase the EP and BP of the firm.

This paper reported the initial empirical findings after the March 7th incident on EP of businesses in Malaysia, where businesses have initiated the adoption of GHRM practices.

The purpose of this study intends to examine the influence of green human resource management (GHRM) on green service behaviors through the mediating effect of green knowledge sharing based on bank employees' perceptions.

The study analyzes 365 frontline employees' perceptions from the banking industry in Bangladesh using partial least square.

The findings show a significant positive direct influence of GHRM on green in-role, extra-role service behavior and green knowledge sharing. Green knowledge sharing is also found to have a significant mediating effect between GHRM and green service behaviors.

This study considers perceptions of employees of the private commercial banking organizations, and thereby, its findings cannot be generalized for all other service organizations in the context of Bangladesh.

The study demonstrates that GHRM can influence employees' green service behaviors via green knowledge sharing.

Green banking is an emerging trend that deserves more attention. There is growing recognition that green banking is not an “automatic” process but requires that banking management promote green service behavior among their employees. This study extends the research on GHRM by focusing on how it impacts green service behavior through the mediating role of green knowledge sharing. The paper provides practical insights for organizations looking to improve green service behaviors among employees.