Selvalakshmi M., Vidya Suresh and Mythili Kolluru
This paper aims to develop a pedagogy combining analytic reasoning with a more exploratory skill set that style practitioners have embraced and business schools have traditionally…
Abstract
Purpose
This paper aims to develop a pedagogy combining analytic reasoning with a more exploratory skill set that style practitioners have embraced and business schools have traditionally neglected. It proposes a viable business which will be converted into market opportunities. The study aims to expand the domain of design thinking (DT) by applying the concept in the higher education sector with special reference to management education.
Design/methodology/approach
This paper emerged out of an application of one of the models of DT in the field of higher education. While several models of DT are deployed by various sectors, the 3I model developed by IDEO in 2001 was chosen as appropriate to design a pedagogy for MBA students. The data were complemented by classroom teaching experiments, evaluation and student performance.
Findings
This paper provides empirical insights about how a change is brought about during implementing a new pedagogy in the system. This innovative pedagogy was named as “Integrative and Interactive Approach.” It was offered to first-year postgraduate students of management.
Research limitations/implications
Because of the chosen approach, the research results may lack generalizability. Researchers are encouraged to test the model in a smaller group before implementing.
Practical implications
The paper focuses on the testing and implementation of DT in innovating a pedagogy with reference to one chosen institute. The cost, benefits and challenges may differ when applied to other institutes of same kind.
Originality/value
This paper fulfills an identified need to have an integrated approach of teaching in management education using case study approach.
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Mohamed Ibrahim N.H., M. Udayakumar, Sivan Suresh, Suvanjan Bhattacharyya and Mohsen Sharifpur
This study aims to investigate the insights of soot formation such as rate of soot coagulation, rate of soot nucleation, rate of soot surface growth and soot surface oxidation in…
Abstract
Purpose
This study aims to investigate the insights of soot formation such as rate of soot coagulation, rate of soot nucleation, rate of soot surface growth and soot surface oxidation in ethylene/hydrogen/nitrogen diffusion jet flame at standard atmospheric conditions, which is very challenging to capture even with highly sophisticated measuring systems such as Laser Induced Incandescence and Planar laser-induced fluorescence. The study also aims to investigate the volume of soot in the flame using soot volume fraction and to understand the global correlation effect in the formation of soot in ethylene/hydrogen/nitrogen diffusion jet flame.
Design/methodology/approach
A large eddy simulation (LES) was performed using box filtered subgrid-scale tensor. A filtered and residual component of the governing equations such as continuity, momentum, energy and species are resolved and modeled, respectively. All the filtered and residual components are numerically solved using the ILU method by considering PISO pressure–velocity solver. All the hyperbolic flux uses the QUICK algorithm, and an elliptic flux uses SOU to evaluate face values. In all the cases, Courant–Friedrichs–Lewy (CFL) conditions are maintained unity.
Findings
The findings are as follows: soot volume fraction (SVF) as a function of a flame-normalized length for three different Reynolds number configurations (Re = 15,000, Re = 8,000 and Re = 5,000) using LES; soot gas phase and particulate phase insights such as rate of soot nucleation, rate of soot coagulation, rate of soot surface growth and soot surface oxidation for three different Reynolds number configurations (Re = 15,000, Re = 8,000 and Re = 5,000); and soot global correction using total soot volume in the flame volume as a function of Reynolds number and Froude number.
Originality/value
The originality of this study includes the following: coupling LES turbulent model with chemical equilibrium diffusion combustion conjunction with semi-empirical Brookes Moss Hall (BMH) soot model by choosing C6H6 as a soot precursor kinetic pathway; insights of soot formations such as rate of soot nucleation, soot coagulation rate, soot surface growth rate and soot oxidation rate for ethylene/hydrogen/nitrogen co-flow flame; and SVF and its insights study for three inlet fuel port configurations having the three different Reynolds number (Re = 15,000, Re = 8,000 and Re = 5,000).
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H. Maheshwari and Anup K. Samantaray
In the modern financial landscape, Artificial Intelligence (AI) is gaining prominence, offering significant economic advantages. This research paper aims to investigate the impact…
Abstract
Purpose
In the modern financial landscape, Artificial Intelligence (AI) is gaining prominence, offering significant economic advantages. This research paper aims to investigate the impact of Behavioural Biases (BB) such as Overconfidence Bias (OCB), Fear of Missing Out (FOMO), Herding Bias (HB) and Regret Aversion Bias (RAB) on Investment Decision-Making (IDM). Additionally, it explores how the AI-led Adoption of Digital Advisory Services (ADAS) moderates these biases among Gen Z investors in India.
Design/methodology/approach
The study utilized a convenience sampling method, gathering 457 responses from Gen Z investors in India through an online survey questionnaire. The data was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM).
Findings
The results confirm a significant relationship between OCB, FOMO, HB and RAB on IDM. The study also found that ADAS significantly moderated the relationship between FOMO and IDM, as well as between HB and IDM. However, the moderation effect of ADAS was not supported for the relationships between OCB and IDM, and RAB and IDM.
Practical implications
This research offers valuable insights for academics, individual investors, fintech companies and policymakers. It highlights how behavioural biases affect IDM and underscores the importance of AI-enabled digital services in helping Gen Z investors recognize and manage these biases. Policymakers can use these insights to establish standards for AI use, ensuring regulatory compliance and promoting ethical conduct in AI-driven investment decisions.
Originality/value
The novelty of this study lies in its conceptual approach, particularly in examining the moderation role of ADAS in addressing behavioural biases among Gen Z investors.
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Richa Awasthy and Rajen K. Gupta
Organizational diagnosis. The case addresses the issue of an outsider at a senior position in a family-run business.
Abstract
Subject area
Organizational diagnosis. The case addresses the issue of an outsider at a senior position in a family-run business.
Study level/applicability
MBA.
Case overview
NCR-Delhi is a multi-specialty hospital in Delhi and is essentially a family-run business. Though it had done well in the early years since its inception, it had been plagued by many problems and had undergone many changes in management and processes. An outsider joined it as the Facility Director (FD) two years ago. In these two years, he introduced multi-directional changes. However, he has not been able to achieve a complete turnaround of the hospital. The major issues facing him are financial, operational and personnel-related issues. The hospital is currently in a major financial crisis, which has been causing delays in disbursement of salaries and creating resource crunches in daily operations. Most of the patients are government empanelled patients, and collection of payments from such patients usually takes at least three months. Employee attrition and customer satisfaction are also continuing challenges. Other issues include lack of proper support and interference from top management. The FD has been showing considerable prowess and capability in leading the organization, but has not been able to achieve the desired results owing to the above factors.
Expected learning outcomes
To understand the frameworks and process of organizational diagnosis; to understand the influence of change initiatives on organizational culture; and to understand the complexity of family business and what happens when an outsider leader joins family business.
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.
Subject code
CSS 6: Human Resource Management.
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Bismark Osei, Mark Edem Kunawotor and Paul Appiah-Konadu
The purpose of this paper is to investigate the effect of flood occurrence on mortality rate and life expectancy amongst 53 African countries.
Abstract
Purpose
The purpose of this paper is to investigate the effect of flood occurrence on mortality rate and life expectancy amongst 53 African countries.
Design/methodology/approach
The study utilizes panel data from the period 2000–2018 on 53 African countries and system generalized method of moments (system GMM) for the analysis.
Findings
The result indicates that flood occurrence causes the destruction of health facilities and the spread of diseases which reduces life expectancy. In addition, flood occurrence increases mortality rate amongst 53 African countries.
Research limitations/implications
Practical implications
The study recommends that governments amongst African countries should implement strategies being enshrined in Conference of Parties (COP, 2021) on climate change. This will help to reduce the level of climate change and flood occurrence.
Originality/value
Previous studies focussed on the adverse effect of flood occurrence without considering the issue of life expectancy amongst African countries. This study contributes to existing empirical studies by examining the effect of flood occurrence on mortality rate and life expectancy amongst African countries.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2022-0508.
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Radha Subramanyam, Y. Adline Jancy and P. Nagabushanam
Cross-layer approach in media access control (MAC) layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data…
Abstract
Purpose
Cross-layer approach in media access control (MAC) layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in wireless sensor network (WSN) and Internet of Things (IoT) applications. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes. Game theory optimization for distributed may increase the network performance. The purpose of this study is to survey the various operations that can be carried out using distributive and adaptive MAC protocol. Hill climbing distributed MAC does not need a central coordination system and location-based transmission with neighbor awareness reduces transmission power.
Design/methodology/approach
Distributed MAC in wireless networks is used to address the challenges like network lifetime, reduced energy consumption and for improving delay performance. In this paper, a survey is made on various cooperative communications in MAC protocols, optimization techniques used to improve MAC performance in various applications and mathematical approaches involved in game theory optimization for MAC protocol.
Findings
Spatial reuse of channel improved by 3%–29%, and multichannel improves throughput by 8% using distributed MAC protocol. Nash equilibrium is found to perform well, which focuses on energy utility in the network by individual players. Fuzzy logic improves channel selection by 17% and secondary users’ involvement by 8%. Cross-layer approach in MAC layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in WSN and IoT applications. Cross-layer and cooperative communication give energy savings of 27% and reduces hop distance by 4.7%. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes.
Research limitations/implications
Other optimization techniques can be applied for WSN to analyze the performance.
Practical implications
Game theory optimization for distributed may increase the network performance. Optimal cuckoo search improves throughput by 90% and reduces delay by 91%. Stochastic approaches detect 80% attacks even in 90% malicious nodes.
Social implications
Channel allocations in centralized or static manner must be based on traffic demands whether dynamic traffic or fluctuated traffic. Usage of multimedia devices also increased which in turn increased the demand for high throughput. Cochannel interference keep on changing or mitigations occur which can be handled by proper resource allocations. Network survival is by efficient usage of valid patis in the network by avoiding transmission failures and time slots’ effective usage.
Originality/value
Literature survey is carried out to find the methods which give better performance.