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Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

Rivers are very close to Indian culture and civilisation. Indians treat rivers as holy and connect them to their faith. Human-induced activities unintentionally pollute the water bodies. The present case revolves around an innovative social enterprise – PHOOL, which deals with the recycling of flowers offered by devotees at temples. Thus, preventing thousands of kilograms of floral waste from being dumped into rivers daily and polluting them. The idea was conceived to save the most revered river – the Ganges. These flowers are mostly loaded with pesticides and insecticides, which further merge with river water making it even more toxic, endangering marine lives. PHOOL collects flowers from various places of worship and recycles them into handcrafted incense sticks and biodegradable Styrofoam. This unique venture has also been patented for its process and technology of floral waste recycling. Their mission is to save and preserve the river Ganges and empower marginalised women by providing employment opportunities while at the same time giving a livelihood and a future to Indian child and the generations to come. The child could now afford schooling, in hopes of a better economic future in a healthier environment while maintaining all societal traditions. It is essentially a case of social entrepreneurship that aims to help readers understand the intricacies of starting and surviving a social enterprise and ensuring continual sustainability. To create the case, an interview was carried out with Ms Ekta Jain (Associate, Marketing and Communications, PHOOL), as well as a literature review and data were collected on the social enterprise and significant events that take place in the Indian social entrepreneurship ecosystem. PHOOL is a case on ensuring a balanced approach between the economy, environment and society. It aims at protecting and creating a balance between the environment, the economy and the society, generating a new inflow to the economy, providing a purpose in life for those most in need of it and a livelihood free from pollution and deprivation, and making the world a better place to live in. It is creating a balance between societal needs, the environment that requires protection, the economy and ensuring continuity.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.

Sustainability issues are crucial in today’s competitive environment. The integration of technology plays a vital role in the attainment of sustainability objectives. The study aims to investigate the relationship between green intellectual capital (IC), green information systems (IS), green management initiatives (GMI) and green technology adoption in light of natural resource-orchestration theory (ROT). Moreover, digital technology adoption mediates between green IC, green IS, GMI and sustainable performance. Finally, digital transformation strategy is used as a moderator between green technology adoption and sustainable performance.

A sample of 484 managers from automobile manufacturing companies was used in this study to evaluate the proposed relationships using the Structural Equation Modeling (SEM) methodology.

Findings reveal that green IC, green IS and GMI significantly influence green technology adoption. Besides, green technology adoption plays a crucial role in improving sustainable performance. Moreover, green technology adoption significantly mediates between green IC, green IS, GMI and sustainable performance. Finally, a digital transformation strategy significantly strengthens the relationship between green technology adoption and sustainable performance.

The organizations need green technology adoption to address environmental concerns, respond to consumer demand, achieve cost savings and comply with government regulations. Besides, in decision-making, organizations must focus on green IC, green IS, GMI, green technology adoption and digital transformation strategy to boost sustainable performance.

The originality of this study lies in its use of the natural ROT as a framework to examine the impact of multiple green resources on green technology adoption, leading to sustainable performance. Digital transformation strategy is used as a moderator between green technology adoption and sustainable performance. This study provides a comprehensive and integrated perspective on the subject with empirical evidence and relevant insights, contributing to the advancement of the field.

The purpose of this paper is to identify various dimensions of green quality. It integrates the existing carbon footprinting technique with the eight dimensions of quality proposed by Garvin (1984, 1987). Apart from extending these concepts, it also proposes two new dimensions – traceability and standardization which are not explicitly considered by the above two.

Conceptual theory building is used to develop a framework consisting of three interrelated propositions which explain the underlying dimensions of green quality and provide a better understanding of the same.

Similar to the eight dimensions of quality proposed by Garvin, the authors propose various dimensions of green quality and develop three propositions around these dimensions. This conceptual framework is developed by integrating the works of traditional quality (specifically Garvin’s eight dimensions), emergent literature on green products and their attributes, carbon footprinting from environmental economics discipline by summarizing their common elements and contrasting their differences.

This research is one of the first studies that explore the dimensions of green quality of a product. Apart from discovering and exploring inherent greenness in Garvin’s eight dimensions of quality, the authors also discuss about two new dimensions – traceability and standardization.