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This paper aims to answer two research questions: first, to study the factors that directly and indirectly influence the intentions of job-seekers and second, to examine the moderating role of gender differences in e-recruitment adoption through the application of technology acceptance model (TAM) in India.

A convenience sampling technique was used to collect online data via GoogleDocs through various online channels such as social media, LinkedIn and email. The final data was collected from 364 final-year graduates and postgraduate students to confirm the impact of female and male differences, measurement invariance in composite models (MICOM) and multi-group analysis (MGA).

The results indicated that perceived usefulness (PU) and perceived ease of use (PEOU) have a direct impact on attitude (AT), whereas PU influenced behavioral intentions (BI) of job-seekers, but PEOU did not. AT directly leads to the BI. The outcomes of mediation analysis show that AT partially mediates the relationships between PU to BI and PEOU to BI. Further, the findings of MICOM and MGA showed that gender significantly moderates all the relationships between the constructs except for the influence of AT on BI.

This study contributes to the current literature, revealing that the original TAM model is still pertinent and effective in prevailing periods in emerging markets. The significance of PEOU and PU on AT and BI implies that job-seekers will strongly adopt e-recruitment when it is user-friendly and assist them to accomplish their tasks easily and efficiently. Moreover, gender has a vital moderating influence in e-recruitment adoption. In the case of females, the effect of PEOU is stronger, and for males, PU has a substantial impact on adoption.

Developers and recruiters should provide significant information related to salary, location and job profile on e-recruitment to enhance the adoption rate of online recruitment. Further, the usefulness of e-recruitment systems was more significant for males compared to females, whereas female job-seekers prefer the e-recruitment system, which is easy to use and operate.

This research fills a gap in the literature by examining the essential factors affecting the BI of job-seekers as well as empirically testing the impact of gender differences to adopt TAM for e-recruitment – an under-explored subject in developing countries like India.

E-recruiting has been a powerful tool for reaching the majority of job applicants around the world. Even though, previous literature has scarcely shed light on the factors responsible for the adoption of e-recruitment among job candidates. Originated from the technology acceptance model (TAM), this study aims to empirically examine the influence of online word-of-mouth in shaping job-seekers’ intentions for using e-recruitment websites.

A Google Docs-based online questionnaire was distributed via social media, LinkedIn and email to 740 participants, out of which 397 final responses were received. The partial least squares structural equation modeling using SmartPLS 3 was applied for evaluating the theoretical model.

This study empirically indicated that electronic word-of-mouth (eWOM) has a significant impact on perceived usefulness (PU), perceived ease of use (PEOU) and attitude. Whereas, PU and attitude fully mediate the relationship between eWOM and behavioral intentions (BI) of job-seekers towards e-recruitment.

This research contributes to the understanding of the relevance of eWOM in e-recruitment adoption. eWOM provides job-related information that plays a significant role in the usage of online recruitment systems such as LinkedIn, job portals and company websites. This study offered a valuable contribution to the existing body of literature on e-recruitment, developers and Web-based hiring service providers.

This investigation was the first attempt in the e-recruitment literature to explore the influence of eWOM on job-seekers’ intentions to adopt online recruitment platforms, including the mediating role of PU, PEOU and attitude in the association between eWOM and BI.

It is now generally recognised that, when investigating acquisitive crime, investigators must focus not just on obtaining evidence of the commission of the underlying crime itself, but also on what happened to the criminal proceeds. While there has been significant culture change in the UK so that investigators now focus to a greater degree on the proceeds of crime, this is usually from the perspective of tracing what remains of the proceeds so that the confiscation legislation may be applied. Even then such a focus is patchy and inconsistent and much work remains to be done to ensure that the confiscation legislation is applied in a rigorous manner.

Green Lean concepts offer methods for managing manufacturing organizations with the goal of improving organizational performance. Green Lean practices are good options to increase the environmental and operational performance of manufacturing industries. However, there are some barriers to implement Green Lean in manufacturing industries. This paper aims to identify these barriers by reviewing the literature and analyze inter-relationships amongst selected barriers.

This paper deals with the identification of barriers to the adoption of Green Lean practices in manufacturing industries. Using the DEMATEL approach and using the insights of experts, a cause and effect relationship diagram was generated through which the effect of barriers was analyzed.

Twelve barriers were categorized in terms of cause and effect, and the interrelationships of barriers were also analyzed. Threshold value is calculated as 0.134 and the values lower than a were eliminated to obtain the digraph. “Resistance to change,” “lack of top management commitment” and “lack of training to employees” are the most prominent barriers on the basis of their prominent score.

Analysis in the research is highly dependent on expert judgments and opinions may be biased. However, the initial matrix obtained from the experts is hindered by the ambiguity about some relationships. But this can be improved by using fuzzy and grey set theories. The barriers used for the analysis are not from a specific type of manufacturing industry.

The findings will help the manufacturing organizations to simplify the most important barriers, the least significant barriers and the relationships between these barriers. This Berlin knowledge will enable administrators to increase awareness of the barriers in Green Lean implementation. “The top management commitment” and “government support” are most important for the removal of barriers to Green Lean strategies.

Very few scholars have used the DEMATEL approach to examine the sequence of the barriers to Green Lean implementation. The present study attempts to incorporate the DEMATEL model to assess the sequence of barriers to the implementation of Green Lean. This study investigates the degree of influence of barriers on each other and categorizes the barriers into cause and effect groups. This study is also intended to pave the way for future research in the path of the elimination of barriers to Green Lean strategies.

In order to improve environmental performance, manufacturing companies around the world have started to seek green practices (GPs) to adopt in their operations. Environmental awareness of the stakeholders has put the pressure and changed the focus of manufacturers. The purpose of this article is to gather GPs used in manufacturing industries through a literature review. It also aims at exploring other elements related to GPs in manufacturing firms.

The paper is exploratory in its approach. After searching relevant research articles from the online database, a review of 103 research articles has been conducted in the area of GPs in manufacturing industries.

This work attempts to offer a comprehensive list of GPs by studying the detailed relevant literature. This paper concludes that the concern of the use of GPs within manufacturing organisations is rising fast around the world, and research in this area is of great interest throughout the world over the last decade.

This study has reported several earlier studies by searching the online database through some selected keywords only, but it has not performed a subjective overview for screening and choosing the research articles. This paper explores and gives a concise description of the GPs in manufacturing that will be helpful for further studies of green manufacturing (GM).

This study provides a comprehensive literature review of GPs in manufacturing industries. This review should give benefits to other scholars and practitioners interested in studying GPs related to manufacturing industries. It might represent new opportunities for relevant research that would contribute to more knowledge of GM being gained.