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Article
Publication date: 18 April 2024

Vaishali Rajput, Preeti Mulay and Chandrashekhar Madhavrao Mahajan

Nature’s evolution has shaped intelligent behaviors in creatures like insects and birds, inspiring the field of Swarm Intelligence. Researchers have developed bio-inspired…

Abstract

Purpose

Nature’s evolution has shaped intelligent behaviors in creatures like insects and birds, inspiring the field of Swarm Intelligence. Researchers have developed bio-inspired algorithms to address complex optimization problems efficiently. These algorithms strike a balance between computational efficiency and solution optimality, attracting significant attention across domains.

Design/methodology/approach

Bio-inspired optimization techniques for feature engineering and its applications are systematically reviewed with chief objective of assessing statistical influence and significance of “Bio-inspired optimization”-based computational models by referring to vast research literature published between year 2015 and 2022.

Findings

The Scopus and Web of Science databases were explored for review with focus on parameters such as country-wise publications, keyword occurrences and citations per year. Springer and IEEE emerge as the most creative publishers, with indicative prominent and superior journals, namely, PLoS ONE, Neural Computing and Applications, Lecture Notes in Computer Science and IEEE Transactions. The “National Natural Science Foundation” of China and the “Ministry of Electronics and Information Technology” of India lead in funding projects in this area. China, India and Germany stand out as leaders in publications related to bio-inspired algorithms for feature engineering research.

Originality/value

The review findings integrate various bio-inspired algorithm selection techniques over a diverse spectrum of optimization techniques. Anti colony optimization contributes to decentralized and cooperative search strategies, bee colony optimization (BCO) improves collaborative decision-making, particle swarm optimization leads to exploration-exploitation balance and bio-inspired algorithms offer a range of nature-inspired heuristics.

Article
Publication date: 23 October 2023

Abhijeet Tewary and Vaishali Jadon

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework…

Abstract

Purpose

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework that can be used to create a capable workforce necessary for the successful implementation of Quality 4.0.

Design/methodology/approach

By following a systematic approach, the authors could ensure that their literature review was comprehensive and unbiased. Using a set of pre-determined inclusion and exclusion criteria, the authors screened 90 research articles to obtain the most relevant and reliable information for their study.

Findings

The authors' review identified essential findings, including the evolution of literature in the field of Quality 4.0 and the systematization of previous literature reviews focusing on training and development. The authors also identified several training barriers to implementing Quality 4.0 and proposed a model for building a competent workforce using Kolb's experiential learning model.

Practical implications

The authors' research offers insights into the training barriers that must be considered when building a competent workforce. Using the framework proposed in the authors' research, consultants and managers can better integrate Quality 4.0 into their organizations.

Social implications

The adoption of Quality 4.0 has significant social implications and is essential for advancing sustainability. It can improve efficiency, reduce waste, minimize environmental impacts and better meet the needs and expectations of stakeholders.

Originality/value

The authors' study stands out as one of the earliest reviews of the literature on Quality 4.0 to incorporate the theory-context-method (TCM) framework, allowing to provide unique insights into future research directions that had not been previously explored.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Case study
Publication date: 15 December 2022

Hetal Jhaveri and Ashutosh Dash

Identify and explain the factors that contribute to the success of a restaurant business. Analyse different sources of entrepreneurial finance. Identify and explain local…

Abstract

Learning outcomes

Identify and explain the factors that contribute to the success of a restaurant business.

Analyse different sources of entrepreneurial finance.

Identify and explain local entrepreneur’s expectations from a funding agency.

Evaluate investment decision-making criteria for entrepreneurial funding agencies.

Case overview/synopsis

Kartikey Rajput, the promoter of a food park Urban Chowk, was waiting for the Covid regulations in the country to be relaxed. The entrepreneur in him found a business opportunity to provide hygienic food with a beautiful ambience and floated a food park (Urban Chowk) with the support of his wife Nikita Agrawal in 2017 and the second edition amidst Covid in 2020. The business model was well-appreciated by food vendors as well as customers. Rajput could see future growth potential in urban India. But his aggressive business plan to open five food parks in different cities in the next three years was disrupted due to the Covid pandemic. The expansion required huge investments, and post-pandemic challenges were plenty. The decision to go beyond Ahmedabad required the selection of cities besides the major challenge of the financing choice. The new cities might have huge footfall potential but finding the right location at the right price was a different challenge. Rajput was also concerned with the sources of getting the required finances. The entrepreneur was contemplating and evaluating the alternative sources of finance available to a start-up.

Complexity academic level

This case is appropriate for a graduate and post-graduate level programme in the courses like entrepreneurial finance, entrepreneurship and strategy. This case can also be used in an executive programme on management and Management Development Programmes (MDPs) on entrepreneurship or entrepreneurial finance.

Supplementary materials

Teaching notes are available for educators only.

Subject Code

CSS 1: Accounting and Finance.

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