Abhishek Dixit, Pooja Agrawal and Ajay Misra
The requirement of robust cooperative control is essential to achieve consensus between unmanned aerial vehicles (UAVs) operating in swarm formation. Often the performance of…
Abstract
Purpose
The requirement of robust cooperative control is essential to achieve consensus between unmanned aerial vehicles (UAVs) operating in swarm formation. Often the performance of these swarm formations is affected by wind gust disturbances. This study proposes an effective robust consensus protocol, which will ensure the UAVs in swam formation to collectively meet the desired objective in real-time scenario.
Design/methodology/approach
In this work, the swarm of UAVs are modeled as multiagent systems by using the concepts of algebraic graph theory. To address the challenges of a complex and dynamic environment, an adaptive sliding mode control (SMC)-based consensus protocol is proposed. The closed loop stability analysis is established through Lyapunov theory.
Findings
The efficacy of the discussed robust consensus controller is analyzed through numerical simulations. Further, the quantitative analysis using Monte-Carlo simulations validates performance of the proposed robust consensus protocol. The presented consensus protocol can be easily implementable as robust flight controller for swarm of UAVs. Also, as the consensus theory is based on the algebraic graph theory, the proposed design is scalable for a large number of UAVs in swarm formation.
Originality/value
The proposed adaptive SMC achieves robust consensus of longitudinal dynamics states between all the UAVs by mitigating the effects of wind gust disturbances. Also, the adaptive SMC offers chattering-free control efforts.
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Kapila Fonseka, Adam Amril Jaharadak and Murali Raman
With the rapid development of technology in the 21st century, an ever-growing number of organisations are adopting digitalised technologies. The global economy connected with…
Abstract
Purpose
With the rapid development of technology in the 21st century, an ever-growing number of organisations are adopting digitalised technologies. The global economy connected with digitalisation is moving towards sustainable development. Individual firms adopt innovative technological strategies to consolidate their position in the competitive market. The study aimed to examine the management perception of the impact of E-commerce adoption (EC) on business performance (BP) – the moderating role of using artificial intelligence (AI).
Design/methodology/approach
A quantitative study using the deductive approach and the data collected from senior managers of the small and medium-sized enterprises (SMEs) in Sri Lanka, and 389 samples were collected using a simple random sampling method. EC, BP and AI were named as the independent, dependent and moderating variables in the model. Porters' generic strategies and resource-based views (RBVs) were applied as the foundation of the study.
Findings
The independent and moderating variables significantly influenced the BP. Managers' age, gender, education level and job position affect their perception.
Originality/value
The global economy is moving towards sustainable development using digitalisation. The firms should blend their strategies with digitalised platforms to survive in the competitive market.
Peer review
The peer review history for this article is available at the following link: https://publons.com/publon/10.1108/IJSE-12-2021-0752
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Pooja Kansra and Amiya Abdul Khadar
Population ageing is a demographic transition and burdens every country’s health sector. A lack of social security combined with low government health-sector spending has made…
Abstract
Purpose
Population ageing is a demographic transition and burdens every country’s health sector. A lack of social security combined with low government health-sector spending has made health-care utilisation difficult among elderly in many developing countries like India. This makes population ageing a global phenomenon for policymakers, researchers and stakeholders to discuss and debate in 21st century. The purpose of this paper is to examine the behavioural determinants of health-care utilisation among elderly population in Punjab.
Design/methodology/approach
This study examines health-care utilisation among the elderly population in Punjab. A structured questionnaire was used to collect the data in the state of Punjab, with a multi-stage stratified random sample of 385 respondents. Logit regression was used to analyse the association between several behavioural factors like age, gender, place of residence, source of livelihood, education and frequency of visits with health-care utilisation among elderly aged 60 and above.
Findings
This study revealed that gender, age, place of residence, source of livelihood, education and frequency of visits were significant determinants of health-care utilisation among elderly population.
Originality/value
This study directs the need to improve health-care utilisation in a country, reducing inequalities that exist among the elderly population with respect to socio-economic and demographic differences.
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Madhvi Sethi, Pooja Gupta, Shubhadeep Mukherjee and Siddhi Agrawal
Behavioral finance literature has long claimed that internet stock message boards can move markets. In this chapter, the authors study more than 2,000 internet board messages…
Abstract
Behavioral finance literature has long claimed that internet stock message boards can move markets. In this chapter, the authors study more than 2,000 internet board messages posted across finance message boards in India (Chittorgarh, etc.) for 110 companies that went for initial public offering (IPO) in the last one year. This study has multi-fold objectives. First, the authors try to identify the factors which lead to a discussion on an IPO stock in the message board. Second, the authors identify the factors which differentiate a widely discussed stock from the less discussed one. Next, the authors apply advanced machine learning technique to identify the topics which are discussed in the message board through automatic topic modeling. The methodology used includes a logistic regression model for identifying firm characteristics which leads to a probability of getting stakeholders’ attention and hence more discussion. The authors also use advanced topic modeling techniques to identify topics of discussion on the message boards through machine learning. The authors find that larger sized firms, younger firms, firms with low leverage, and non-manufacturing firms get discussed more and the topics of discussion relate to their financial statements, trading strategies, stock behavior, and performance.
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Sahil Singh Jasrotia, Pooja Darda and Shailesh Pandey
The individual’s set of values determines how they make decisions and navigate various personal and professional issues. This study aims to investigate the substitutability of…
Abstract
Purpose
The individual’s set of values determines how they make decisions and navigate various personal and professional issues. This study aims to investigate the substitutability of self-improvement values for self-transcendence values in fostering responsible consumption behaviors in society, using Schwartz’s Basic Human Values as the theoretical foundation.
Design/methodology/approach
Focus group discussions are used to investigate the research problem. Representative samples of 100 centennials or Generation Z college students (50 undergraduate and 50 postgraduate students) and 45 millennials or Generation Y working employees were chosen for focus group talks to ensure the findings’ correctness. Using thematic analysis, the information gathered was coded and analyzed manually.
Findings
The paper looks into whether people’s self-transcendence values play a role in getting them to act responsibly when they buy things. This study gives us much new information about how people’s values change and how people buy things in today’s world.
Research limitations/implications
This study explains how changing values make people want to be more responsible with their money and adds to the literature on sustainable consumption and consumer behavior. Using the lens of Schwartz’s Basic Human Values, this study extends the theoretical domain of responsible consumption.
Originality/value
The concept of sustainable consumption is essential for the next generation’s well-being. The sustainable development goal (SDG) 12 of responsible consumption is the focus of this study. This is a novel study to examine and understand factors that can facilitate consumers to consume responsibly to attain the SDGs. This is also one of the first studies on responsible consumption, using focus group discussions as the research methodology.
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Pooja B. Vijayakumar, Michael J. Morley, Noreen Heraty, Mark E. Mendenhall and Joyce S. Osland
In this contribution, we systematically review the extant global leadership literature to identify important bibliometric and thematic patterns in evidence in this evolving field…
Abstract
In this contribution, we systematically review the extant global leadership literature to identify important bibliometric and thematic patterns in evidence in this evolving field of scholarship. Conceptualizing the phenomenon to include leaders/managers/supervisors who hold global, expatriate, or international positions, we draw out insights accumulated from a total of 327 published articles in key management and organizational behavior journals listed in Scopus. Our analysis proceeds in two sequential phases. Our bibliometric analysis first identifies the most cited articles, most published first authors, country bases of first authors, and frequently publishing journals in this field. This characterizes both the diversity and innovative nature of scholarship in the field. Our thematic content analysis, generated through Nvivo 11, isolates two dominant overarching themes that represent the wellspring for the body of literature, namely global leader development and global leader effectiveness. These themes of development and effectiveness are further explicated through six distinct lenses namely cultural, cognitive, learning, personality trait, social/relational, and political. These lenses are underpinned by a suite of theoretical perspectives encompassing individual, system, and contextual considerations. In combination, these sets of analyses bring added systematics to the field and serve as a point of departure for future inquiry.
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Pooja Darda, Om Jee Gupta and Susheel Yadav
Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration…
Abstract
Purpose
Alexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.
Design/methodology/approach
This content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.
Findings
Alexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.
Research limitations/implications
The study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.
Originality/value
Alexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.
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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.