With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the…
Abstract
With 43.2 million coronavirus cases and 525,000 deaths in 2022, India ranked second worldwide, after the United States (84.6 million cases and 1 million deaths), according to the latest available June 2022 COVID-19 impact data.
Amid people’s growing mistrust in the government, India’s news media enhanced the nation’s distinguished designation as the world’s largest and most populous democracy. India’s news media inform, educate, empower, and entertain a surging population of 1.4 billion people, which is roughly one-sixth of the world’s people.
Drawing upon the media agendamelding theoretical framework, we conducted a case study research into interplay between two prominent democratic institutions, the media and the government, to analyze the role of the COVID-19 pandemic in redefining India’s networked society.
India’s COVID-19 pandemic aggravated internecine tensions between media and government relating to four key freedom issues: (1) world’s largest COVID-19 lockdown affecting 1.3 billion Indians from March 25, 2020 to August 2020 with extensions and five-phased re-openings, to restrict the spread of COVID-19; (2) Internet shutdowns; (3) media censorship during the 1975–1977 “Emergency”; and (4) unabated murders of journalists in India.
Although the COVID-19 pandemic caused deleterious problems debilitating the tensions between the media and the government, India’s journalists thrived by speaking truth to power. This study delineates key aspects of India’s media agendamelding that explicates how the people of India form their media agendas. India’s news audiences meld media messages from newspapers, television, and social media to form a picture of the issues, insights, and ideas that define their lives and times in the 21st century digital age.
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Nobin Thomas, Rajesh Kaduba Mokale and Patturaja Selvaraj
Organizational scholars are intrigued about stakeholders who propose multiple and conflicting ideas about what is good for their organization. Such contradictions are called…
Abstract
Purpose
Organizational scholars are intrigued about stakeholders who propose multiple and conflicting ideas about what is good for their organization. Such contradictions are called paradoxical tensions. Although researchers have singled these out for analysis, focusing only on individual tensions prevents scrutiny of multiple paradoxical tensions that simultaneously emerge and how effectively organizations can manage them. In complex environments – especially during an organizational restructuring – multiple and interrelated tensions occur. Therefore, the objective in this paper is to investigate how organizations create multiple paradoxical tensions and how the combined effect of such tensions can constrain organizations during restructuring. The authors thus aim to help managers think reflectively and to plan interventions to deal with issues arising from restructuring through the lens of paradox theory.
Design/methodology/approach
The authors adopted purposive sampling for an archival research-based case study of a major restructuring of a leading IT firm in India in the decade 2009–2019. This study focused on the types of paradoxes created and the response of the organization to these during the restructure. The authors identified key events using public documents and news reports from that decade. They drew on two sources of data: mainstream media coverage and third-party documents about the company. The latter included monographs and academic publications written by critics, business historians and design and management scholars.
Findings
The findings address the gaps in the literature about how reorganizing during a restructure shapes the contradictions that lead to tensions and coexisting conflicting dualities, creating paradoxes. This study provides the reader with deeper insights into belonging, organizing, learning and performing tensions – core to paradox theory – along with their short- and long-term implications for organizational restructuring. The study demonstrates organizational responses to paradox and its practical implications for managers. The paradoxical nature of cultural–structural tensions in Indian organizations continues to be researched but, by focusing on paradox theory, the authors have opened doors for future research.
Originality/value
Although there is no dispute that effective management of tensions can facilitate organizational performance, contradictory demands that lead to tensions have only intensified as organizational environments become more global, dynamic and competitive. Paradox theory is thus valuable for understanding tensions between equally valid principles, inferences and insights. Although this paper is based on a case study, the framework proposed here can form the basis for theoretical generalizability within certain limitations. Because organizations face similar paradoxical situations under competing demands during restructuring and because paradoxes are becoming increasingly prevalent in organizations, the authors expect their propositions to apply in other cases of restructuring. However, the authors would like to caution that the model developed here should be tested and refined in other contexts to more fully establish its validity and generalizability.
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Shikha Pandey, Yogesh Iyer Murthy and Sumit Gandhi
This study aims to assess support vector machine (SVM) models' predictive ability to estimate half-cell potential (HCP) values from input parameters by using Bayesian…
Abstract
Purpose
This study aims to assess support vector machine (SVM) models' predictive ability to estimate half-cell potential (HCP) values from input parameters by using Bayesian optimization, grid search and random search.
Design/methodology/approach
A data set with 1,134 rows and 6 columns is used for principal component analysis (PCA) to minimize dimensionality and preserve 95% of explained variance. HCP is output from temperature, age, relative humidity, X and Y lengths. Root mean square error (RMSE), R-squared, mean squared error (MSE), mean absolute error, prediction speed and training time are used to measure model effectiveness. SHAPLEY analysis is also executed.
Findings
The study reveals variations in predictive performance across different optimization methods, with RMSE values ranging from 18.365 to 30.205 and R-squared values spanning from 0.88 to 0.96. Additionally, differences in training times, prediction speeds and model complexities are observed, highlighting the trade-offs between model accuracy and computational efficiency.
Originality/value
This study contributes to the understanding of SVM model efficacy in HCP prediction, emphasizing the importance of optimization techniques, model complexity and dimensionality reduction methods such as PCA.
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Fathia Elleuch Lahyani, Ghassan H. Mardini and Levi Kohin
Grounded on regulatory focus theory, this study aims to explore whether the regulatory focus of leadership (promotion versus prevention) influences a firm’s innovation. Moreover…
Abstract
Purpose
Grounded on regulatory focus theory, this study aims to explore whether the regulatory focus of leadership (promotion versus prevention) influences a firm’s innovation. Moreover, it examines the moderating effect of industry munificence, gender diversity and chief executive officer (CEO) tenure.
Design/methodology/approach
Using random effects and the generalized method of moments (GMM), this relationship was examined using firms listed in the S&P 500 index in the period 2015–2020.
Findings
The evidence suggests that CEOs with a promotion focus significantly impact firms’ innovation, with the relationship being moderated by CEO tenure, gender diversity and industry munificence. However, CEO prevention focus does not determine strategic choices in relation to innovation. The study offers insights into corporate governance and corporate management that address stakeholders’ growing demands to innovate and appoint experienced CEOs with a promotion focus so as to ensure firm growth, particularly under the circumstances of strong market competition.
Originality/value
The study enhances the comprehension of the relevance of CEO regulatory focus and innovation while considering the effect of CEO tenure, gender diversity and industry munificence.
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Shweta Singh, B.P.S. Murthi, Ram C. Rao and Erin Steffes
The current approach to valuing customers is based on the notion of discounted profit generated by the customers over the lifetime of the relationship, also known as customer…
Abstract
Purpose
The current approach to valuing customers is based on the notion of discounted profit generated by the customers over the lifetime of the relationship, also known as customer lifetime value (CLV). However, in the financial services industry, the customers who contribute the most to the profitability of a firm are also the riskiest customers. If the riskiness of a customer is not considered, firms will overestimate the true value of that customer. This paper proposes a methodology to adjust CLV for different types of risk factors and creates a comprehensive measure of risk-adjusted lifetime value (RALTV).
Design/methodology/approach
Using data from a major credit card company, we develop a measure of risk adjusted lifetime value (RALTV) that accounts for diverse types of customer risks. The model is estimated using Stochastic Frontier Analysis (SFA).
Findings
Major findings indicate that rewards cardholders and affinity cardholders tend to score higher within the RALTV framework than non-rewards cardholders and non-affinity cardholders, respectively. Among the four different modes of acquisition, the Internet generates the highest RALTV, followed by direct mail.
Originality/value
This paper not only controls for different types of consumer risks in the financial industry and creates a comprehensive risk-adjusted lifetime value (RALTV) model but also shows empirically the value of using RALTV over CLV for predicting future performance of a set of customers. Further, we investigate the impact of a firm’s acquisition and retention strategies on RALTV. The measure of risk-adjusted lifetime value is invaluable for managers in financial services.
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Vibha Verma, Sameer Anand and Anu Gupta Aggarwal
The purpose of this paper is to identify and quantify the key components of the overall cost of software development when warranty coverage is given by a developer. Also, the…
Abstract
Purpose
The purpose of this paper is to identify and quantify the key components of the overall cost of software development when warranty coverage is given by a developer. Also, the authors have studied the impact of imperfect debugging on the optimal release time, warranty policy and development cost which signifies that it is important for the developers to control the parameters that cause a sharp increase in cost.
Design/methodology/approach
An optimization problem is formulated to minimize software development cost by considering imperfect fault removal process, faults generation at a constant rate and an environmental factor to differentiate the operational phase from the testing phase. Another optimization problem under perfect debugging conditions, i.e. without error generation is constructed for comparison. These optimization models are solved in MATLAB, and their solutions provide insights to the degree of impact of imperfect debugging on the optimal policies with respect to software release time and warranty time.
Findings
A real-life fault data set of Radar System is used to study the impact of various cost factors via sensitivity analysis on release and warranty policy. If firms tend to provide warranty for a longer period of time, then they may have to bear losses due to increased debugging cost with more number of failures occurring during the warrantied time but if the warranty is not provided for sufficient time it may not act as sufficient hedge during field failures.
Originality/value
Every firm is fighting to remain in the competition and expand market share by offering the latest technology-based products, using innovative marketing strategies. Warranty is one such strategic tool to promote the product among masses and develop a sense of quality in the user’s mind. In this paper, the failures encountered during development and after software release are considered to model the failure process.
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Shikha Pandey, Yogesh Iyer Murthy and Sumit Gandhi
This study aims to investigate the use of 20 commonly applied regression methods to predict concrete corrosion. These models are assessed for accuracy and interpretability using…
Abstract
Purpose
This study aims to investigate the use of 20 commonly applied regression methods to predict concrete corrosion. These models are assessed for accuracy and interpretability using SHapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) analysis to provide structural health monitoring prognostic tools.
Design/methodology/approach
This study evaluated model performance using standard measures including root mean square error (RMSE), mean square error (MSE), R-squared (R2) and mean absolute error (MAE). Interpretability was evaluated using SHAP and LIME. The X and Y distances, concrete age, relative humidity and temperature were input parameters, whereas half-cell potential (HCP) values were considered output. The experimental data set consisted of observations taken for 270 days.
Findings
Gaussian process regression (GPR) models with rational quadratic, square exponential and matern 5/2 kernels outperformed others, with RMSE values around 16.35, MSE of roughly 267.50 and R2 values near 0.964. Bagged and boosted ensemble models performed well, with RMSE around 17.20 and R2 values over 0.95. Linear approaches, such as efficient linear least squares and linear SVM, resulted in much higher RMSE values (approximately 40.17 and 40.02) and lower R2 values (approximately 0.79), indicating decreased prediction accuracy.
Practical implications
The findings highlight the effectiveness of GPR models in forecasting corrosion in concrete buildings. The use of both SHAP and LIME for model interpretability improves the transparency of predictive maintenance models, making them more reliable for practical applications.
Social implications
Safe infrastructure is crucial to public health. Predicting corrosion and other structural problems improves the safety of buildings, bridges and other community-dependent structures. Public safety, infrastructure durability and transportation and utility interruptions are improved by reducing catastrophic breakdowns.
Originality/value
This study reduces the gap between model accuracy and interpretability in predicting concrete corrosion by proposing a data-driven method for structural health monitoring. The combination of GPR models and ensemble approaches provides a solid foundation for future research and practical applications in predictive maintenance. This comprehensive approach underscores the potential of data-driven methods for predictive maintenance in concrete structures, with implications for broader applications in various industries.
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Hassan Mirza, Hamed Al Sinawi, Naser Al-Balushi, Mohammed Al-Alawi and Sathiya Murthi Panchatcharam
University-industry collaboration yields numerous advantages resulting in potential benefits in funding research and innovation. Despite the numerous benefits, there are various…
Abstract
Purpose
University-industry collaboration yields numerous advantages resulting in potential benefits in funding research and innovation. Despite the numerous benefits, there are various perceived disadvantages of such collaboration especially in the field of child and adolescent psychiatry in prominent academic institutes in London, UK. The purpose of this study is to explore the perceptions, opinions, beliefs and attitudes of the academics and clinicians in an academic university department towards industry collaboration.
Design/methodology/approach
Two methods were applied, quantitative and qualitative. The quantitative method used an online questionnaire of four-point Likert-Scale, the link of which was emailed to 80 members of the department with a response rate of 32%. The qualitative method included a one-to-one interview with eight researchers from the department to garner in-depth information on the attitude of researchers in child and adolescent psychiatry towards industry collaboration.
Findings
The online questionnaire was completed by 26 researchers, the vast majority perceived industry as biased to favour their product and as having a bad or mixed reputation. One-on-one interviews with eight prominent researchers allowed us to share their perception and attitude towards industry collaboration, although the researchers believe that availability of funding was the major advantage of working in collaboration with industry, many did not know how to access such grants and some raised concerns about industry’s record of presenting partial results.
Research limitations/implications
Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
This paper will shed light on how prominent researchers perceive collaboration with industry.
Originality/value
Although researchers are very reluctant to collaborate with industry because of its public opinion and sometimes unethical and lack of integrity among the industry, with rigorous ethical guidelines and policies, the pharmaceutical industry can be a potential and significant source of funding of high-quality research and innovation.
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Ajay Vadakkepatt, Sanjay R. Mathur and Jayathi Y. Murthy
Topology optimization is a method used for developing optimized geometric designs by distributing material pixels in a given design space that maximizes a chosen quantity of…
Abstract
Purpose
Topology optimization is a method used for developing optimized geometric designs by distributing material pixels in a given design space that maximizes a chosen quantity of interest (QoI) subject to constraints. The purpose of this study is to develop a problem-agnostic automatic differentiation (AD) framework to compute sensitivities of the QoI required for density distribution-based topology optimization in an unstructured co-located cell-centered finite volume framework. Using this AD framework, the authors develop and demonstrate the topology optimization procedure for multi-dimensional steady-state heat conduction problems.
Design/methodology/approach
Topology optimization is performed using the well-established solid isotropic material with penalization approach. The method of moving asymptotes, a gradient-based optimization algorithm, is used to perform the optimization. The sensitivities of the QoI with respect to design variables, required for optimization algorithm, are computed using a discrete adjoint method with a novel AD library named residual automatic partial differentiator (Rapid).
Findings
Topologies that maximize or minimize relevant quantities of interest in heat conduction applications are presented. The efficacy of the technique is demonstrated using a variety of realistic heat transfer applications in both two and three dimensions, in conjugate heat transfer problems with finite conductivity ratios and in non-rectangular/non-cuboidal domains.
Originality/value
In contrast to most published work which has either used finite element methods or Cartesian finite volume methods for transport applications, the topology optimization procedure is developed in a general unstructured finite volume framework. This permits topology optimization for flow and heat transfer applications in complex design domains such as those encountered in industry. In addition, the Rapid library is designed to provide a problem-agnostic pathway to automatically compute all required derivatives to machine accuracy. This obviates the necessity to write new code for finding sensitivities when new physics are added or new cost functions are considered and permits general-purpose implementations of topology optimization for complex industrial applications.
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Vikram Murthy and Aasha Murthy
The purpose of this paper is to posit a hierarchical classification of enactments, practices and virtues that comprise an emerging adaptive leadership response to the prevailing…
Abstract
Purpose
The purpose of this paper is to posit a hierarchical classification of enactments, practices and virtues that comprise an emerging adaptive leadership response to the prevailing volatile, uncertain, complex and ambiguous (VUCA) conditions.
Design/methodology/approach
Reports and discusses the findings of two neo-classical grounded theory research studies to theorise augmented leadership repertoires for VUCA worlds. The first study was conducted with eight large regional and multinational organisations in Australia. The second is an on going, longitudinal study undertaken with 18 regional, national and multinational organisations in New Zealand.
Findings
The first neo-classical grounded theory study in Australia identifies a set of emerging leadership practices labelled, “Zeitgeist – Integrating Cognition, Conscience and Collective Spirit”, as part of such a repertoire. The preliminary results of the second neo-classical grounded theory research extension in New Zealand, results in the further grounded theorising of the ensemble leadership repertoire (ELR), which is an emerging and hierarchical classification of leadership enactments, practices and virtues for prevailing times. The classification is robust because of its methodological similarities and conceptual congruence with other emerging and well-accepted classifications like, for example, character strengths in positive psychology.
Originality/value
The grounded theorising provides a core category of the ELR which has its origins in substantive context. It lists 93 enactments inducted from leaders’ key phrases. These enactments in turn aggregate in relational sets through the process of constant comparison to describe 14 practices, which in sets of dyads and triads describe the five zeitgeist leadership virtues of being present, being good, being in touch, being creative and being global.