The purpose of this paper is to put forth a model for implementation of an environmental management system (EMS) in institutes of higher education in India.
Abstract
Purpose
The purpose of this paper is to put forth a model for implementation of an environmental management system (EMS) in institutes of higher education in India.
Design/methodology/approach
The authors carried out initial environmental review (IER) and strengths, weaknesses, opportunities and threats (SWOT) analysis to identify the major environmental concerns in the university. This was followed by preparation of environmental policy and plan based on ISO 14001 guidelines.
Findings
The key concerns in the university have been identified as energy consumption, waste generation, transportation, etc. The SWOT analysis shows that the university is doing satisfactorily in energy efficiency and water conservation while there is scope for improvement in case of waste management, transportation and landscaping. The environmental management plan has been prepared keeping in mind the gaps observed through the IER and SWOT analysis.
Research limitations/implications
Carbon footprint and water footprint analysis have not yet been carried out and hence, quantifiable targets have not been included in the environmental management plan.
Practical implications
Implementing an EMS at the university will help reduce the impact on environment due to various day‐to‐day activities. It will also lead to developing environmental consciousness in the minds of young professionals who graduate from the university as well university staff.
Originality/value
There have been very few examples of environmental consciousness in educational institutions in India. There is a need for model systems for incorporating environmental management in the university set‐up. This research documents the process of identification of environmental concerns followed by preparation of the management plan for an educational institution. The research also documents the need for different aspects of the environmental management plan.
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Moumita Sharma and Pallavi Srivastava
This case study attempts to sensitize the impact of restructuring on the organization’s employer brand. The students shall learn to appreciate the criticality of maintaining a…
Abstract
Learning outcomes
This case study attempts to sensitize the impact of restructuring on the organization’s employer brand. The students shall learn to appreciate the criticality of maintaining a balance between being an employee-centric organization and building a sustainable business model, to analyze the alternative people management strategies in emerging start-ups.
Case overview/synopsis
This case study illustrates the innovative human resource (HR) policies adopted by the start-up Meesho. Meesho was started as “Fashnear” by two Indian Institute of Technology graduates Sanjeev Barnwal and Vidit Aatrey in the year 2015, with the headquarters located in Bengaluru, Karnataka, India. It was a social commerce platform wherein the local apparel sellers or manufacturers could register themselves on the app and sell their products online to nearby consumers and the product would be delivered to their homes. Later, it was renamed Meesho (Meri E-Shop) with an improved business model. The innovative people-centric policies got Meesho recognition as one of the most employee-friendly start-ups and an innovative employer. However, later as part of the restructuring exercise, it had to lay off employees, which had a counter impact on its reputation and image as a desirable employer. This case study captures the dilemma faced by start-ups like Meesho who were in the process of sustaining their growth and optimizing their workforce and, at the same time, have to manage their employer brand in the process.
Complexity academic level
This case study can be used at the postgraduate level of management and in executive management programs.
Supplementary material
Teaching notes are available for educators only.
Subject code
CSS6: Human resource management.
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Laxmi Pandit Vishwakarma and Rajesh Kumar Singh
Introduction: Artificial intelligence (AI) is being extensively used to solve complex problems in the industry. AI provides several benefits such as providing visibility in the…
Abstract
Introduction: Artificial intelligence (AI) is being extensively used to solve complex problems in the industry. AI provides several benefits such as providing visibility in the processes, reducing time, improving accuracy, saving time, helping in the decision-making process, etc. Due to the range of benefits of AI technologies, organisations readily adopt this technology. However, there are several challenges that the organisation faces during the implementation of AI. These challenges are in context to human resource (HR) development for successful implementation of AI across different functions and are discussed in this chapter.
Purpose: Although we know that AI technology is widely accepted in human resource management (HRM) due to its various benefits. But the organisations face many challenges during the implementation of AI. The focus of the study is to explore the literature on AI in HRM, identify the challenges of implementing AI and provide potential future research direction based on a systematic literature review.
Methodology: To explore the literature on AI in HRM, the study undertakes a systematic literature review. The study identifies, analyse and classifies the literature to provide a holistic view of HR challenges in implementing AI. The study is built on a review of 47 documents, including the articles, book chapters and conference papers using the Scopus database for the past 10 years (2012–27 January 2022).
Findings: The study provides an overview of the documents published in Scopus in this area through a systematic literature review. The study reveals that a significant amount of growth in the publication has been shown in the past 10 years. The maximum and continuous growth is shown after 2017. The maximum number of papers are published in India, the USA and China. The study identifies major eight challenges of AI implementation in HRM. The study also provides a secondary case to deep dive in this area based on a systematic literature review.
Research Limitation/Implication: The challenges identified in the study are not empirically tested. Each of the identified challenges should be empirically examined. This study has expanded the body of knowledge of AI in HRM. This study will help the academicians and practitioners work on the identified challenges and help the organisations ease in adopting AI.
Originality/Value: This study represents the first work that integrates AI implementation challenges in HRM.
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Mohanbir Sawhney, Ashuma Ahluwalia, Yuliya Gab, Kevin Gardiner, Alan Huang, Amit Patel and Pallavi Goodman
Microsoft Office was facing an uphill task in engaging the undergraduate student community. Attracting this audience—the most tech-savvy generation ever—was critical to the future…
Abstract
Microsoft Office was facing an uphill task in engaging the undergraduate student community. Attracting this audience—the most tech-savvy generation ever—was critical to the future of the Microsoft Office franchise. Microsoft's past advertising efforts to reach this audience had proven lackluster, while its key competitors were gradually entrenching themselves among this demographic. Microsoft's challenge was to determine the best tactics that could successfully connect with this audience. The (A) case describes Microsoft's dilemma and briefly addresses what college students mostly care about: managing homework, creating great-looking schoolwork, preparing for the workplace, and collaborating with friends and classmates. It also provides competitive information, chiefly Google's increasing presence in universities and its focus on the higher education market and the growing influence of Facebook among students and its evolution into a productivity tool. The (B) case describes the qualitative research tools that Microsoft used to get a better understanding of college students: day diaries using Twitter, technology diaries using the Internet and smartphones, focus groups, and one-on-one interviews with students. The case helps students understand the value of ethnographic and qualitative research techniques, draw inferences from the data, and subsequently make recommendations. It illustrates how ethnographic and observational studies enrich research by generating deeper consumer insight than traditional methods.
Students will learn: - How online tools in ethnographic and observational research offer new insights not revealed by traditional survey research - How different qualitative market tools are used to collect data, as well as the pros and cons of different ethnographic research techniques - To interpret and synthesize data from qualitative and ethnographic research - How research can influence a firm's marketing and advertising tactics
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