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Article
Publication date: 17 October 2019

Sathish S., Anandakrishnan V. and Gupta Manoj

The purpose of this study is to analyse and optimize the wear parameters of magnesium metal-metal composite. Materials with lesser weight attract both the researcher and…

187

Abstract

Purpose

The purpose of this study is to analyse and optimize the wear parameters of magnesium metal-metal composite. Materials with lesser weight attract both the researcher and industrialists, as it exhibits the performance improvement in the automotive and aerospace industries. The enrichment of mechanical and tribological properties of the existing magnesium focussed the development of new metal–metal composite.

Design/methodology/approach

Metal–metal composite with magnesium matrix was synthesized through the disintegrated melt deposition technique with the addition of titanium, aluminium and boron carbide particles. The wear performance of the composite was experimented with the dry sliding wear test by considering load, sliding velocity and sliding distance.

Findings

The wear rate of the composite is analysed statistically, and the significance of wear parameters on the wear performance of metal–metal composite is observed. The worn pin surface and the wear debris collected during the wear experiments were exposed to the microscopy analysis to seize the dominating wear mechanisms.

Originality/value

The wear performance of the developed magnesium composite was analysed and discussed in detail with the support of scientific evidence, i.e. worn surface and debris analysis express the wear mechanisms.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2019-0326/

Details

Industrial Lubrication and Tribology, vol. 72 no. 4
Type: Research Article
ISSN: 0036-8792

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Case study
Publication date: 28 June 2013

Surajit Ghosh Dastidar and Nitin Kumar Jain

Entrepreneurship.

Abstract

Subject area

Entrepreneurship.

Study level/applicability

The case is suitable for analysis in an undergraduate/graduate entry level course on entrepreneurship. It may also be taught in a course for non-business majors who are unfamiliar with basic business concepts.

Case overview

Shrey Gupta and Manoj Agarwal were the co-owners of “After 12”, a food facility in the Dhanakwadi area of Pune, India. In only nine months, their food enterprise had become quite popular among the local college going crowd. They were doing brisk business and sales had picked up quite a bit in the last two months. They both were quite pleased with the progress of their business. However, in spite of increasing sales figures in the last few months they hardly generated any profits. The revenue they generated was completely spent on buying raw materials like vegetables and other food materials and the rest was used in the payment of utility bills and wages of the cook and the helper. They only had enough money to continue for another month or so. Both pondered about what is the way to proceed. What can be done to make it sustainable? How would they arrange the extra money to get them going? Should they close down “After 12”?

Expected learning outcomes

The case will aid students to understand: how small businesses are started and may fail; the importance of researching your business idea; and SWOT analysis.

Supplementary materials

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Details

Emerald Emerging Markets Case Studies, vol. 3 no. 3
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 8 August 2024

Srinivasa Reddy N.S. and Sujata Khandai

Housing is one of the basic necessities of humankind for survival and purchasing a home is often a substantial milestone. Individuals exhibit complex behaviour influenced by…

58

Abstract

Purpose

Housing is one of the basic necessities of humankind for survival and purchasing a home is often a substantial milestone. Individuals exhibit complex behaviour influenced by various factors while making decisions related to the purchase of residential properties. While most of the earlier studies have focused on understanding the purchasing behaviour of home buyers’ in developed countries, the research is limited on this topic in developing countries such as India. The booming information technology industry has rapidly increased the demand for residential properties among the migrant population in Bengaluru, India’s largest technology hub. Real estate developers strive to meet the requirements of prospective customers through innovative ways but face challenges in a competitive market.

Design/methodology/approach

It is essential to understand the factors influencing home buyers’ purchase attitudes for increasing property sales. However, a lack of research on this subject is identified in the emerging city of Bengaluru. This study aims to analyse the determinants of home buying decisions for potential investors in Bengaluru through structural equation modelling to provide insights for the real estate industry to construct houses as per their customers’ needs.

Findings

It was found that housing amenities, financial aspects, location conveniences and marketing services significantly influenced home buyers’ purchase decisions, whereas housing features do not.

Originality/value

The findings of this study offer valuable insights for governmental bodies to implement appropriate policies and for builders to design properties with features that cater to the target population, thereby promoting sustainable growth in the real estate industry.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

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Case study
Publication date: 25 July 2023

Pooja Gupta, Sangita Dutta Gupta, Varnika Garg, Aakriti Jain, John Kavalakkatt and Aditi Mahawar

There are two theoretical concepts that can be taught in this case.The new approach to teaching entrepreneurship is termed “lean start-up” and “hypothesis-driven…

Abstract

Theoretical basis

There are two theoretical concepts that can be taught in this case.The new approach to teaching entrepreneurship is termed “lean start-up” and “hypothesis-driven entrepreneurship.” The business model canvas is a core tool of this approach. This framework defines nine key components of a successful business strategy. These components include defining value propositions; identifying customer segments; identifying channels; maintaining customer relationships; defining key activities, key resources and key partners; understanding the revenue model of the business; and the organization’s cost structure. This is considered to be a rigorous approach to learning about and developing a new venture.The other theoretical approach that can be discussed through this case is the link between uncertainty and entrepreneurial growth. These theories associate the willingness of entrepreneurs to bear the perceived uncertainty associated with entrepreneurial acts as representative of the belief-desire model. There is a need for entrepreneurs to experiment and search for alternative paths forward in order to counter this uncertainty. Systematic search processes to discover relevant information will strengthen this process.

Research methodology

This case is based on primary data collected through interviews with company personnel. The company consented freely to the use of their data in the case. The authors have no connection with the company. The four student coauthors had previously pursued an internship with the company and had worked on the machine learning analysis part.The two faculty coauthors in the case contacted the company after the internship and discussed the opportunity to write the case on the company. One of the faculty then interviewed key personnel in the company, including one of the co-founders.

Case overview/synopsis

Xoxoday is a technology company that provides employee rewards and corporate gifting to its customers. The company was started by Sumit Khandelwal, Manoj Agarwal, Abhishek Kumar and Kushal Agarwal. In 2018, the company reinvented itself as an experiential gifting company.The company faced some challenges during the lockdowns imposed due to COVID-19. Khandelwal knew that they had to try something new to achieve higher growth in the future. He wondered if higher usage of technology was the solution. It was necessary for them to carve a new path in these times.

Complexity academic level

This case study can be used at the undergraduate level in courses relating to entrepreneurship strategy and business models for entrepreneurs.The case can be used to highlight the dilemmas faced by entrepreneurs due to unforeseen crises. This case is relevant for classes that will discuss growth crises and out-of-the-box solutions for unprecedented crisis situations.

Details

The CASE Journal, vol. 20 no. 2
Type: Case Study
ISSN: 1544-9106

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Article
Publication date: 16 February 2021

Hanumantha Rao Sama, Sanjay Gupta, Manoj Mathew and Swati Gupta

The main objective of this study is to compare the service quality of two retail chains of hypermarkets, namely, Big Bazaar and Spencer's, using the trapezoidal fuzzy approach.

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Abstract

Purpose

The main objective of this study is to compare the service quality of two retail chains of hypermarkets, namely, Big Bazaar and Spencer's, using the trapezoidal fuzzy approach.

Design/methodology/approach

Customers from Big Bazaar and Spencer's of Andhra Pradesh, India, have been surveyed through a well-designed questionnaire. The study attempts to compare the service quality of two major retail giants (Spencer's and Big Bazaar) in Andhra Pradesh by using the trapezoidal fuzzy approach to prioritize the attributes of service quality of retail outlets.

Findings

The result of the study indicates that the expectations of Big Bazar customers are higher as compared to Spencer's. Further, the study reveals – that Spencer's need to improve in the dimension of tangibility while Big Bazar needs to focus more on responsiveness.

Research limitations/implications

As the data taken for the study are primary in nature, chances of bias may arise on the part of respondents, which may affect the validity of results. Further, the study is confined to two retail stores in Andhra Pradesh, India only, which may not reflect the broader picture.

Practical implications

Retailers may provide more importance to two major service quality dimensions, i.e. tangibility and responsiveness while preparing for their service and marketing strategies.

Originality/value

As the study relates to the comparative analysis of service quality of Big Bazar and Spencer's, the findings will be of additional value to these specific retailers. Therefore, it is expected that this study will fill the gap in the literature by prioritizing the expectations and perceptions of customers of Big Bazar and Spencer's.

Details

International Journal of Quality & Reliability Management, vol. 38 no. 10
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 23 November 2020

Swati Gupta, Sanjay Gupta, Manoj Mathew and Hanumantha Rao Sama

The primary objective of this study is to prioritize the main intentions behind investment in cryptocurrency, in spite of its volatile nature and no regulatory framework.

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Abstract

Purpose

The primary objective of this study is to prioritize the main intentions behind investment in cryptocurrency, in spite of its volatile nature and no regulatory framework.

Design/methodology/approach

This research paper has worked on collective constructs of the unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM) and social support theory with an added construct of financial literacy. A fuzzy analytical framework has been applied to prioritize the intentions of investors.

Findings

The result indicates that “Social Influence (SI)” is the most influencing factor, while “Effort Expectancy (EE)” is the least influencing factor considered by investors. The subdimensions ranked in the top priority by investors are as follows: “I want to invest in cryptocurrencies because I have a good level of financial knowledge (FL1)”; “The people who are important to me will think that I should use cryptocurrencies (SI2)”; “I have the necessary resources to use cryptocurrencies (FC2).” The least importance is given to “It will be easy for me to become an expert in the use of cryptocurrencies (EE3).”

Research limitations/implications

Few of the constructs of the UTAUT, the TAM and social support theory have been considered while prioritizing intentions. Different other intentions also prevail under different theories that need to be researched further.

Practical implications

Unlike previous studies, this research adds the archetype of social commerce, social support and utility theories to analyze and prioritize the behavioral perspective of using cryptocurrencies in digital transactions.

Originality/value

This paper fills the gap in the research study, along with assisting the regulators and cryptocurrency practitioners to widen their knowledge base and to recognize the prioritized intentions.

Details

Journal of Economic Studies, vol. 48 no. 8
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 24 November 2017

Harish Kumar, Manoj Kumar Singh, M.P. Gupta and Jitendra Madaan

This paper aims to identify the key factors to design efficient, healthy and potentially economical neighbourhood places in the surroundings of smart cities to reduce the urban…

613

Abstract

Purpose

This paper aims to identify the key factors to design efficient, healthy and potentially economical neighbourhood places in the surroundings of smart cities to reduce the urban polarization for the sustainable urban development.

Design/methodology/approach

A two-stage methodology is followed. First, the key factors for neighbourhood are identified from literature studies. The selected factors are validated by sample t-tests. Second, the total interpretive structural modeling is used to interpret the complexity of relationships among various factors. Further, cross-impact matrix multiplication is applied for classification analysis to find the most driving factors for neighbourhood design.

Findings

The contribution of this research is to show hierarchical relationships among the various factors to design the neighbourhood places as smart from the perspectives of city planners and decision makers.

Research limitations/implications

The applicability of the research findings is limited to developing countries mainly where population is large and most of cities have high pressure on its infrastructure to fulfil the citizens’ demands.

Practical implications

This paper will aid policymakers, city planners and government officials to design a sustainable smart city model in which smart neighbourhood would also be the potential solution to decrease pressure on a city’s critical infrastructure especially in developing countries.

Social implications

A smart city could be considered as the centre point of smart initiatives to develop a place smart, and it should continue beyond the city boundaries to enhance the facilities, services, resources utilization and working environment in neighbourhood places also.

Originality/value

The study explores the various literature on neighbourhood planning and then link with smart city development as current need of urban development scenario. The authors propose a hierarchical relation framework to develop the neighbourhood places as smart places to meet the future demand of urbanization in developing countries like India.

Details

Journal of Science and Technology Policy Management, vol. 9 no. 2
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 26 July 2018

Harish Kumar, Manoj Kumar Singh and M.P. Gupta

The purpose of this paper is to conceptualize the influencing characteristics of user-generated content over perceived structure of social platforms to plan various business…

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Abstract

Purpose

The purpose of this paper is to conceptualize the influencing characteristics of user-generated content over perceived structure of social platforms to plan various business practices to improve the social commerce activities especially in emerging markets.

Design/methodology/approach

In first step, key factors are identified from the systematic literature studies and experts’ opinion. Second, total interpretive structural modeling is used to interpret the complexity of relationships among various factors. Further, fuzzy-MICMAC analysis is used to determine the most driving factors to improve the social commerce.

Findings

The study illustrates hierarchical relationships that can help policy designers, business leaders and decision makers to gain maximum benefits of mining the user-generated content to implement the people-oriented changes to improve economic capability of a country.

Research limitations/implications

The applicability of the study findings can be deployed mostly in emerging economies. The study has not considered the data security, cyberbullying, authenticity and reliability of shared content spread virally over social sites.

Practical implications

The paper will assist policy makers, business planners and solution providers to give importance to public-led influencing patterns to offer business solutions based on people demand and choices.

Social implications

The customers’ engagement, sharing reviews, getting suggestions from other people and finding new trends through user-generated content would enable higher social commerce activities.

Originality/value

The paper develops hierarchical relationships to represent the advancements in business and marketing activities based on influencing patterns and behavior of users over social sites.

Details

Marketing Intelligence & Planning, vol. 36 no. 7
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 12 November 2024

Om Jee Gupta, Manoj K. Srivastava, Pooja Darda, Susheel Yadav and Vinaytosh Mishra

E-healthcare has gained importance, particularly in emerging economies, because of its ability to provide health-care products and services while minimizing contact with the…

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Abstract

Purpose

E-healthcare has gained importance, particularly in emerging economies, because of its ability to provide health-care products and services while minimizing contact with the external world, which was particularly relevant during the COVID-19 pandemic. Despite its advantages, consumers seem hesitant to use mobile apps to access such services. Previous research has found that perceived usefulness, time consumption and price significantly impact consumer willingness to purchase e-healthcare products on mobile apps. This study aims to investigate the role of consumer trust in the willingness to purchase e-healthcare products on mobile apps while controlling for the effects of perceived usefulness, time consumption and price.

Design/methodology/approach

Data have been collected using non-probability judgmental and snowball sampling techniques from five major cities in India. After the data cleaning process, 238 questionnaires were used for data analysis in this study. The authors used confirmatory factor analysis to validate all the constructs and subsequently used the hierarchical regression technique to conduct this study.

Findings

The study’s findings show that consumer trust is the most crucial factor for predicting a willingness to purchase e-healthcare products through mobile apps, despite several other variables that also have a positive impact. These findings present important practical implications for mobile app developers, health-care professionals and lawmakers to further enhance the adoption of e-healthcare products on mobile apps.

Research limitations/implications

The research was conducted by considering primarily young adults (those between the ages of 20 and 45 – above) and targeted five cities in India. This highlights a limitation in the research, as small groups of the intended audience were included (mainly young people).

Originality/value

This study considers perceived usefulness, time and price, in addition to trust, to predict consumer willingness to purchase. Its findings can be valuable in the fields of consumer behavior, health care and technology, especially in emerging markets.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6123

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Article
Publication date: 19 March 2018

Manoj Kumar Singh, Harish Kumar, M.P. Gupta and Jitendra Madaan

The purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and…

847

Abstract

Purpose

The purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers’ standpoint in Indian context.

Design/methodology/approach

This study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI.

Findings

This study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the “government role” and “foreign exchange market” have a significantly high driving power. On the other hand, the “capital resource availability” and “productivity measures” come at the top of the interpretive structural modeling hierarchy, implying high dependence power.

Research limitations/implications

The study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance, and at the same time, the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies.

Practical implications

The lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government’s “Make in India” initiatives.

Originality/value

This paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM–fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.

Details

Measuring Business Excellence, vol. 22 no. 1
Type: Research Article
ISSN: 1368-3047

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