Search results

It is difficult to argue against the fact that research has focussed on artificial intelligence (AI) and robotisation over the past few decades. Additionally, during the past several years, it has taken off and is now extensively used in numerous businesses across various industries. Most of the time, AI has been associated with some industrial sector process automation. Still, recently, the authors have noticed more positive technology uses, especially in the financial services industry. Due to several factors, the financial sector needs to adopt AI and recognise its potential. The industry has historically been concerned about unpredictability, legislation, stronger cybersecurity, technological limitations and disruption of established lucrative operations.

Never before has there been more discussion about AI due to the advantages it provides to businesses that are providing financial services. That may explain why this change is referred to as the fourth industrial revolution. Both positively and negatively, it is quite disruptive. The effectiveness, accuracy and cost-effectiveness of solutions greatly increase. However, immense power also entails great responsibility.

Precautions and security are more crucial than ever for businesses since the financial sector is changing significantly and quickly. The various benefits and drawbacks of this technology are yet unknown to humans. Although AI was first shown to us in the 1950s, it has recently gained new prominence as processing power, and the available quantity of data has increased dramatically.

Scandals regularly sweep through organizational fields: they wreak havoc in markets, vaporize billions of dollars in firm value, bring down giant corporations, get CEOs fired, alter the evolution of technologies, and trigger major changes in society. In spite of their significance for organizational life, scandals have received remarkably limited attention in management research. I build on the social sciences’ sparse but growing stream of research on scandals to explore the concept beyond its usual representation as a discrete event. I propose that an organizational scandal may be understood as an interactional process associated with the disclosure of alleged organizational misconduct that involves: a public struggle between alleged perpetrators and social control agents over the framing of organizational misconduct; moralizing by audience members; collective effervescence at the societal level; and the potential rewriting of the moral rules applicable to organizations and their members.

Purpose: Manufacturing has always been considered a backbone for economic growth. It has been considered an imperative sector in the growth of an economy. This study aims to trace the long-term relationship between gross domestic product (GDP) and manufacturing sector in the context of Indian economy.

Need for the study: According to research, the significance of the manufacturing sector is waning over time. This chapter studies the long-term relationship between the GDP, an indicator of growth, and the manufacturing sector. Over the last few decades, the contribution of manufacturing has been stagnant in the GDP of India.

Methodology: The decadal growth of various sectors in the GDP of India is studied using time series analysis. This study used the data released by the Ministry of Statistics and Programme Implementation (MOSPI) from 1950–1951 to 2013–2014. The long-term relationship between the sector of manufacturing and the GDP is examined through the augmented Dicky–Fuller (ADF) test and auto-regressive distributed lag (ARDL) models.

Findings: The findings suggest that in the Indian scenario, there is no relationship for an extended period between the GDP and the manufacturing sector, which calls for further policy implications.

Practical implications: India, while having the world’s fastest-growing economy, must continue to take steps to attain high growth rates and long-term sustainability by reducing obstacles to the expansion of the service sector in addition to manufacturing. Manufacturing-led services are to be boosted through policy interventions.

Like pro-bono service of law and other professional practices, micro-credentialing has become the quasi-charity project of the rapidly commodifying higher education (HE) sector. Produced with minimum waste and expense, qualifications through micro-credentialing economises time spent and optimises efforts. As a result, these bite-size educational offerings are becoming abundant and attractive to both learners and providers. While learners learn on the job or in the job market, providers get an opportunity to package knowledge and skills. Among a plethora of courses with potential overlapping and mismatched competencies, however, a clear pathway to target a career through pastures of micro-credentialing is yet to emerge. If not, it may result in another system of skill poverty and thus alienate the essential autonomy of credential seekers. Autonomy or self-tailoring your own package of micro-credentials (MC) without a proper wayfinding system could be overwhelming, sometimes even counterproductive, if competency management is based on a one-size-fits-all model. Via a local case, this chapter reviews current MC available to capacitate a career using Construction Management (CM) as a point of departure. It aims to develop a wayfinding framework or user-friendly menu for those wanting to craft a career via a micro-credentialing ecosystem. Broadly, it investigates navigating various MC offerings equivalent to undergraduate qualifications needed to become a CM professional recognised by accreditation bodies. In the process, it systematically discourses multiple ontologies of micro-credentialing in links, lapses, overlaps, and intersections among competencies to untangle complexities and optimise opportunities. It was hoped that learners could target a career instead of matching a job profile in the micro-credentialing universe.

This study investigates Rokkan's research programme in the light of the differences between case- and variables-based methodologies. Three phases of the research process are distinguished. Studying the way Rokkan actually proceeded in the research within his Europe project, we find that he follows the protocols of case-methodologies such as grounded theory. In the second phase of the research process, however, he constructs variables-based models as tools for his macro-historical comparisons. To get to variables from the sensitizing concepts coded in the first phase, Rokkan defines his variables as close to cases as possible: variables as nominal level typologies, types as variable values. He thus faces two interrelated dilemmas. First, a philosophy of science dissonance: he legitimates his research only with reference to a variable-methodology, while his research is thoroughly case based. Second, a paradox of double coding: using variable-based models in the second phase, the status of the knowledge available in the first phase memos is degraded. Rokkan cannot decide between the two main solutions to these dilemmas: The first solution is to discard his heterogeneous data, instead working only with homogeneous data that opens up to more consistently variables-oriented research. The second solution is to replace the notion of variables/variable values with typology/types, thereby returning to cases, pursuing comparative case reconstructions in the third phase of research. The study concludes in favour of the second solution.

Introduction: India has the 15th-largest domestic natural gas consumption (NGC), critical to sustainable economic growth. Promoting natural gas will have a crucial impact on production in all industries.

Purpose: This research gives an overview of NGC and gross domestic product (GDP) in India from 1990 to 2021 and investigates the association and nature of causality between NGC and GDP in India.

Methodology: For the years 1990 through 2021, we used annual statistics from the NGC and the GDP of India. Both research variables data have been taken from the World Bank Indicator.

Findings: There is no causality and correlation between natural gas and GDP in India.

Practical Implications: Based on the research, the Government of India can create different policies for substituting natural gas for other energy sources to have a healthier impact on a sustainable environment in the short and long term. In the future, researchers can work on environmental degradation and GDP.