Prateek Maheshwari and Nitin Seth
The purpose of this paper is to suggest a methodology for evaluating the effectiveness of the flipped classroom (FC) model over traditional lecture-based teaching. It also…
Abstract
Purpose
The purpose of this paper is to suggest a methodology for evaluating the effectiveness of the flipped classroom (FC) model over traditional lecture-based teaching. It also proposed a tool to measure students’ perception toward the flipped approach in context of Indian management education.
Design/methodology/approach
This study employs an experimental research design to assess the effectiveness of the FC pedagogy over traditional teaching methods. Both qualitative and quantitative research methods are used in order to judge student engagement, content understanding, students’ perception and student academic performance. Experimental research design, along with survey research, is implemented in order to judge the students’ perception toward FCs.
Findings
The study proposes a six-dimensional tool to measure learning in an FC setting. These dimensions are as follows: students’ in-class involvement, comprehensive content understanding, students’ academic performance, students’ cognitive capabilities, collaborative learning environment and students’ inclination toward teaching and learning process. Results of this research are promising and encouraging toward the adoption of the FC model.
Research limitations/implications
The present research work is limited to assess the effectiveness of FC teaching for a management subject. Future studies may be carried out in other management subjects and other streams.
Practical implications
The present study provides several valuable insights for future researchers, academicians and management institutions. Although implementation of flipped approach leads to a collaborative learning environment and prepares students for self-learning, it also offers educationalists to remodel their teaching pedagogy as per students’ learning and understanding needs.
Originality/value
The research demonstrates the successful implementation of qualitative and quantitative research techniques to evaluate the effectiveness of FC model in context of management education in India.
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Prateek Maheshwari, Nitin Seth and Anoop Kumar Gupta
The mobile phone industry in India is highly competitive, fast paced and technology-driven. In such a hyper competitive era, effective advertising is considered a key success…
Abstract
Purpose
The mobile phone industry in India is highly competitive, fast paced and technology-driven. In such a hyper competitive era, effective advertising is considered a key success driver for a mobile phone brand. The purpose of this paper is to identify advertisement effectiveness dimensions for Indian mobile phone industry and to develop hierarchical interrelationships among these dimensions in the Indian print context.
Design/methodology/approach
Structured Delphi approach is used to derive the set of dimensions for advertisement effectiveness. Further, techniques such as interpretive structural modeling and MICMAC analysis are used to establish hierarchical linkages among identified dimensions.
Findings
On the basis of experts’ opinion, refinement through structured Delphi resulted in the identification of 14 advertisement effectiveness dimensions specific to Indian mobile phone industry. Interpretive structural modeling assisted in the development of linkages among these identified dimensions based on their interrelations. Further, attention, relevance, excitability, liking and consumer preference, etc., turned out to be the dimensions of utmost importance for measuring advertisement effectiveness for the Indian mobile phone industry.
Research limitations/implications
The present research work is limited to the recognition and development of hierarchical interrelationships among advertisement effectiveness dimensions specific to mobile phone business in the Indian print context only. Further studies may be carried out for other product or service category in some different media context.
Practical implications
The present research has several significant implications for academics and advertising practitioners involved in designing and developing promotional campaigns for mobile phone brands in India. The identified 14 dimensions and developed hierarchical model provide valuable insights for improving advertisement effectiveness.
Originality/value
This paper demonstrated successful implementation of Delphi and interpretive structural modeling technique to explore the research area of advertisement effectiveness.
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Himani Mishra and Prateek Maheshwari
The purpose of this paper is to propose a conceptual framework for the application of blockchain in the Public Distribution System (PDS) in India to manage the supply of food…
Abstract
Purpose
The purpose of this paper is to propose a conceptual framework for the application of blockchain in the Public Distribution System (PDS) in India to manage the supply of food grains to the targeted beneficiaries. The framework will help prevent diversions and leakages of grains at the warehouse and Fair Price Shop (FPS) level. The paper also identifies the enablers and disablers in the context of the framework.
Design/methodology/approach
This paper will firstly review the previous literature in PDS and blockchain-enabled agricultural and food supply chains. The study then proposes a framework that could be implemented in the PDS in India using blockchain technology.
Findings
The proposed framework provides an effective way to combat corruption, exclusion errors of targeted beneficiaries, leakage of PDS food grains and is cost-effective. The identified enablers and disablers give an insight into the application of blockchain in PDS in India.
Research limitations/implications
The research work may have implications for the Ministry of Food and PDS (Central Government), Food Corporation of India and State Governments to manage the supply of the grains more efficiently and effectively.
Originality/value
The current study caters to the implementation of blockchain technology starting from the warehouse level to the FPSs and consumers and simultaneously connecting them to concerned authorities to ensure transparency and accountability.
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Prateek Maheshwari, Nitin Seth and Anoop Kumar Gupta
In today’s highly competitive business scenario, advertising symbolizes one of the key marketing activities. The purpose of this paper is to understand the relationship between…
Abstract
Purpose
In today’s highly competitive business scenario, advertising symbolizes one of the key marketing activities. The purpose of this paper is to understand the relationship between advertisement effectiveness and consumer buying behavior for major automobile companies of central India.
Design/methodology/approach
A judicious mix of qualitative (focus group and Delphi technique) and quantitative (structured questionnaire survey) research methods was used for the present study.
Findings
Study found that for automobile sector, effective advertisements have a positive impact on consumer buying behavior. It suggests that customer’s attitude can be shaped favorably through effective advertising. Automobile companies must arrange special training sessions and learning programs for their sales force to ensure supportive customer purchasing behavior.
Research limitations/implications
The scope of the present study is limited to major automobile companies of central India only. Although, the findings can be interpreted and generalized in a global business scenario.
Originality/value
The research work is first of its kind that attempts to study the impact of effective advertising on consumer buying behavior in Indian automobile context. The findings and recommendations can be used for strategic planning of training sessions and workshops for different stakeholders in automobile industry.
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Introduction: The world is passing through a technology explosion phase where one technology is being replaced by another very quickly. Emerging technologies play more important…
Abstract
Introduction: The world is passing through a technology explosion phase where one technology is being replaced by another very quickly. Emerging technologies play more important roles in the insurance sector directly or indirectly. These technologies have a high potential to change the insurance paradigm.
Purpose: In this chapter, we discuss emerging technologies such as artificial intelligence (AI), big data, blockchain, the internet of things (IoT), mobile technology, predictive analytics, social media, telematics, chatbots, low codes, and drones in the context of the insurance industry.
Methodology: To carry out our analysis, we searched for data using the keywords for each technology from the Web of Science (WoS) coral database. Certain inclusion and exclusion criteria were followed to select the articles for further analysis. R-studio was used for the data analysis and visualisation.
Findings: It was found that the highest number of research articles published are related to big data, followed by AI and social media. The first article on AI in insurance appeared in 1975. Social media is the highest cited new technology, whereas the low codes are the undiscovered paradigm for the insurance sector with no published research. Research on the impact of chatbots, drones, and mobile technology in the insurance industry is still at a nascent stage. We also noticed that the United States is leading the research on emerging technologies in the insurance sector.
Implications: This chapter audits the emerging technologies in the insurance sector and identifies technological areas with the highest, least, or no research, dominant journals, authors, and countries. This holistic overview empowers managers and academicians to decide the future course of action.
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Neelam Singh, Suresh Jain and Prateek Sharma
The purpose of this paper is to understand whether the adoption of environmental management practices and firm characteristics influence the environmental benchmarking in Indian…
Abstract
Purpose
The purpose of this paper is to understand whether the adoption of environmental management practices and firm characteristics influence the environmental benchmarking in Indian firms. It further looks into the impact of environmental benchmarking practices on firms’ environmental performance.
Design/methodology/approach
The study conducts a research survey to obtain the practitioner’s responses on the different aspects of environmental benchmarking. The survey data of 104 firms provide an empirical basis to investigate different research hypotheses using statistical techniques.
Findings
The results indicate that the firms which implement environmental management practices are more likely to adopt environmental benchmarking in one or more areas of their operations. The findings signify that firms which benchmarks for environmental purposes are more likely to have better environmental performance. The study confirms that large firms have significant chances of having environmental benchmarking compared to small and medium sized firms. The firms in different sectors have different relative preference to eight different areas of environmental benchmarking. However, all these preferences are not significant at 95 per cent confidence level.
Research limitations/implications
The research use only qualitative responses on environment management aspects and could be further extended by incorporating the quantitative (emission) data of different industries.
Practical implications
The study provides an insight into the environmental benchmarking practices of Indian firms for better management of environmental performance of the firms.
Originality/value
The study investigates the experience and attitude of Indian firms to environmental benchmarking based on an empirical research. It adds to the knowledge in the field of environmental benchmarking in developing countries with specific focus on India.