Search results

1 – 10 of 40
To view the access options for this content please click here
Article
Publication date: 6 June 2016

Anindya Chakrabarty, Rameshwar Dubey and Anupam De

This paper aims to propose an innovative approach to risk measurement for the abolition of selection bias arising from the specious selection of different horizons for…

Abstract

Purpose

This paper aims to propose an innovative approach to risk measurement for the abolition of selection bias arising from the specious selection of different horizons for investment and risk computation of equity-linked-saving schemes (ELSS).

Design/methodology/approach

ELSS has a lock-in period of three years, but shorter horizons’ (daily/weekly/monthly) return data are preferred, in practice, for risk computation. This results in horizon mismatch. This paper studies the consequences of this mismatch and provides a noble solution to diminish its effect on investors’ decision-making. To accomplish this objective, the paper uses an innovative methodology, maximal overlap discrete wavelet transformation, to segregate the price movements across different horizons. Risk across all horizons is measured using Cornish-Fisher expected shortfall and Cornish-Fisher value-at-risk methods.

Findings

The degree of consistency of risk-based rankings across horizons is examined by means of the Spearman and Kendall’s rank correlation tests. The risk-based ranking of ELSS is found to vary significantly with the change in investor’s horizon. Precisely, the rankings formulated using daily net asset values are significantly different from the rankings developed using fluctuations over longer horizons (two-four and four-eight years).

Originality/value

This finding indicates that the ranking exercise may mislead investors if horizon correction is not done while developing such rankings.

Details

International Journal of Innovation Science, vol. 8 no. 2
Type: Research Article
ISSN: 1757-2223

Keywords

To view the access options for this content please click here
Book part
Publication date: 1 January 2014

Anupam Agrawal and Caroline Rook

This study compares multi-rater leadership evaluations of 1,748 executives in 10 national clusters to determine whether leaders in the East and West display different…

Abstract

This study compares multi-rater leadership evaluations of 1,748 executives in 10 national clusters to determine whether leaders in the East and West display different global leadership behavioral patterns. Data were collected via the Global Executive Leadership Inventory (GELI), which measures 12 dimensions of global leadership behaviors. The 360-degree GELI also provided feedback data from the executives’ 13,166 superiors, peers, and subordinates. Based on multilevel modeling analysis of self-ratings and observer ratings, findings indicated that the executives generally display similar patterns of global leadership behavior, but there are significant cultural differences on some leadership dimensions.

Details

Advances in Global Leadership
Type: Book
ISBN: 978-1-78350-479-4

Keywords

To view the access options for this content please click here
Article
Publication date: 31 December 2006

Juan Ignacio Vazquez, Diego López de Ipiña and Iñigo Sedano

Despite several efforts during the last years, the web model and semantic web technologies have not yet been successfully applied to empower Ubiquitous Computing…

Abstract

Despite several efforts during the last years, the web model and semantic web technologies have not yet been successfully applied to empower Ubiquitous Computing architectures in order to create knowledge‐rich environments populated by interconnected smart devices. In this paper we point out some problems of these previous initiatives and introduce SoaM (Smart Objects Awareness and Adaptation Model), an architecture for designing and seamlessly deploying web‐powered context‐aware semantic gadgets. Implementation and evaluation details of SoaM are also provided in order to identify future research challenges.

Details

International Journal of Web Information Systems, vol. 2 no. 3/4
Type: Research Article
ISSN: 1744-0084

Keywords

To view the access options for this content please click here
Article
Publication date: 7 January 2019

Shishir Goyal, Srikanta Routroy and Anupam Singhal

The purpose of this paper is to analyze the Environmental Sustainability Enablers (ESEs) for an Indian steel manufacturing company to select the appropriate set of ESEs…

Abstract

Purpose

The purpose of this paper is to analyze the Environmental Sustainability Enablers (ESEs) for an Indian steel manufacturing company to select the appropriate set of ESEs for implementing and enhancing environmental sustainability.

Design/methodology/approach

A methodology using fuzzy Decision-Making Trail and Evaluation Laboratory (DEMATEL) is proposed to analyze ESEs capturing multiple experts’ qualitative judgments on their mutual impacts. It is applied to an Indian steel manufacturing company to understand the salient features of the concept.

Findings

The relevant 18 ESEs were classified into cause and effect group and also interactions (i.e. influencing and influenced) of each ESE with other ESEs were evaluated. It was observed that the five ESEs (i.e. competitors’ environmental sustainability strategy, environmental compliance certification, government regulations and incentives, influence of external factors and air pollution controlling system) are the most prominent in the cause group.

Research limitations/implications

The results obtained are specific to an Indian steel manufacturing company and it cannot be generalized for steel manufacturing sector. However, the current paper can show direction to carry out such work in other manufacturing companies.

Practical implications

The proposed methodology will be helpful for allocating efforts and resources to enhance the impact of ESEs for successful achievement of environmental sustainability.

Originality/value

No such paper has been reported in the literature with an objective to develop structural framework for Indian steel manufacturing company to improve environmental sustainability.

Details

Journal of Engineering, Design and Technology, vol. 17 no. 2
Type: Research Article
ISSN: 1726-0531

Keywords

To view the access options for this content please click here
Article
Publication date: 2 November 2020

Anupam Kumar, Adams Steven and John-Patrick Paraskevas

This study investigates the relationship between buyer-supplier top management team (TMT) demographic misalignment (defined as differences in TMT composition based on…

Abstract

Purpose

This study investigates the relationship between buyer-supplier top management team (TMT) demographic misalignment (defined as differences in TMT composition based on background, age and gender) and environmental performance (EVP).

Design/methodology/approach

The empirical setting is publicly held US manufacturing firms that are present in both the Kinder, Lydenberg and Domini’s (KLD's) annual EVP ratings and Bloomberg's supply chain database. The study employs panel data regression methods on an unbalanced panel dataset of 7,493 dyad-year observations comprising 427 unique firms.

Findings

The research shows that misalignment in functional background and gender composition between TMTs have a negative outcome on both the buyer's and the suppliers' EVP. However, increasing presence of females across TMTs has a positive influence on EVP. Further, the research shows that misalignment based on age between the TMTs does not impact EVP in any significant way. On the contrary, increasing age across TMTs is a significant predictor of EVP.

Originality/value

This study builds on existing works in TMT heterogeneity and adds context to the heightening belief in the positive linkage between heterogeneity and performance through extension to a boundary spanning interfirm context.

Details

International Journal of Operations & Production Management, vol. 40 no. 11
Type: Research Article
ISSN: 0144-3577

Keywords

Content available
Article
Publication date: 18 June 2019

Anupam Dutta, Naji Jalkh, Elie Bouri and Probal Dutta

The purpose of this paper is to examine the impact of structural breaks on the conditional variance of carbon emission allowance prices.

Abstract

Purpose

The purpose of this paper is to examine the impact of structural breaks on the conditional variance of carbon emission allowance prices.

Design/methodology/approach

The authors employ the symmetric GARCH model, and two asymmetric models, namely the exponential GARCH and the threshold GARCH.

Findings

The authors show that the forecast performance of GARCH models improves after accounting for potential structural changes. Importantly, we observe a significant drop in the volatility persistence of emission prices. In addition, the effects of positive and negative shocks on carbon market volatility increase when breaks are taken into account. Overall, the findings reveal that when structural breaks are ignored in the emission price risk, the volatility persistence is overestimated and the news impact is underestimated.

Originality/value

The authors are the first to examine how the conditional variance of carbon emission allowance prices reacts to structural breaks.

Details

International Journal of Managerial Finance, vol. 16 no. 1
Type: Research Article
ISSN: 1743-9132

Keywords

To view the access options for this content please click here
Article
Publication date: 15 December 2020

Probal Dutta and Anupam Dutta

The purpose of this research is to examine the impact of external assurance on the level of voluntary corporate climate change disclosures by Finnish firms.

Abstract

Purpose

The purpose of this research is to examine the impact of external assurance on the level of voluntary corporate climate change disclosures by Finnish firms.

Design/methodology/approach

The sample of this study includes 228 firm-year observations over the period 2008–2015 for listed Finnish companies that have issued sustainability reports and responded to the Carbon Disclosure Project (CDP) questionnaire at least once during the sample period. The authors conduct a panel regression analysis to study the afore-mentioned linkage. In addition, the Tobit regression model is also estimated to check the robustness of our findings.

Findings

The findings suggest that assurance has a highly significant positive impact on the level of corporate climate change disclosures even after controlling for the effect of a number of control variables. Moreover, among the control variables, firm size and asset age are found to have significant effect on the extent of carbon emissions disclosure. Furthermore, the additional analysis reveals that the type of assurance providers (accounting firms vs non-accounting firms) and the type of financial auditors (Big4 financial auditors vs non-Big4 financial auditors) do not influence the level of climate change disclosure of assured companies.

Research limitations/implications

This research is subject to certain limitations. First, the source of the data used in this research is the CDP database which has limitations in that it is a voluntary disclosure process where all the observations collected are self-reported by the responding firms. This may bias the reported findings. Second, our sample includes only listed companies and hence the results might have limited explanatory capacity for unlisted firms.

Practical implications

By using the results of this research, corporate managers will be able to reduce the information asymmetry between various stakeholders and them through disclosure of accurate, reliable and credible environmental information. Such disclosures will, in turn, allow socially responsible investors to choose eco-friendly investments and will thus enable them to make appropriate investment decisions.

Originality/value

Research on the external assurance-corporate climate change disclosure nexus is scarce. This study addresses this gap in the nonfinancial disclosure assurance literature by demonstrating that external assurance increases the level of voluntary corporate climate change disclosure. Drawing on stakeholder-agency theory, this study views external assurance as a monitoring structure that potentially curbs the monitoring problem between corporate managers and other stakeholders and increases the amount of climate change disclosures making a possible avenue for the reduction of the information asymmetry between them.

Details

Journal of Applied Accounting Research, vol. 22 no. 2
Type: Research Article
ISSN: 0967-5426

Keywords

To view the access options for this content please click here
Article
Publication date: 6 February 2020

Dipika Pramanik, Samar Chandra Mondal and Anupam Haldar

In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any…

Abstract

Purpose

In recent years, determining the effective and suitable supplier in the supply chain management (SCM) has become a key strategic consideration to the success of any manufacturing organization in terms of business intelligence (BI), as many quantitative and qualitative critical factors are measured from big data. In today’s competitive business scenario, the main purpose of this study is to determine suitable and sustainable suppliers during supplier selection process is to reduce the risk of investment along with maximize overall value to the customer and develop closeness and long-term relationships between customers and suppliers to build a resilient SCM to mitigate uncertainty for automotive organizations.

Design/methodology/approach

As these types of decisions generally involve more than a few criteria and often necessary to compromise among possibly conflicting factors, the multiple-criteria decision-making becomes a useful approach to solve this kind of problem. Considering both tangible and intangible criteria, the aim of this paper is the presentation of a new integrated fuzzy analytic hierarchy process and fuzzy additive ratio assessment method with fuzzy entropy using linguistic values to solve the supplier selection problem to build the resilient SCM under uncertain data. Fuzzy entropy is used to obtain the entropy weights of the criteria.

Findings

Organizations gather massive amounts of information known as BD on the basis of historical records of uncertainties from several internal and external sources to manage uncertainty to improve the overall performance of organizations using BI strategy for analyzing and making effective decision to support the managements of automotive manufacturing organizations in an information system.

Research limitations/implications

Although this study tries to represent a full analysis on suitable and resilient global supplier selection under various types of uncertainty, still there are some improvements that can be made in the future by developing a more refined and more sophisticated approach to further enhance the performance of the proposed scheme to calculate overall rating scores of the alternatives.

Originality/value

The novelty of this paper is to propose a framework of BI in SCM to determine a suitable and resilient global supplier where all the meaningful information, relevant knowledge and visualization retrieved by analyzing the huge and complex set of data or data streams, i.e. BD based on decision-making, to develop any manufacturing organizational performance worldwide.

To view the access options for this content please click here
Article
Publication date: 3 July 2017

Sreeram Sivaramakrishnan, Mala Srivastava and Anupam Rastogi

The purpose of this paper is to study the influence of factors such as financial literacy on a consumer’s investment decisions, particularly in the stock market. Based on…

Abstract

Purpose

The purpose of this paper is to study the influence of factors such as financial literacy on a consumer’s investment decisions, particularly in the stock market. Based on two empirical studies, the theory of planned behaviour (TPB) was used to understand stock market participation (SMP) in India while developing a model to represent the relationships between the various factors. Consumer financial literacy was conceptualised to be a part of perceived behavioural control and included in the TPB.

Design/methodology/approach

A mixed methods research was followed where qualitative research preceded a quantitative survey-based study. In-depth interviews were conducted with investors and experts, results of which, when combined with the literature review, revealed seven variables including financial literacy which were pooled into three distinct groups based on the TPB. Responses obtained from 506 retail investors from four cities in India were analysed. Structural equation modelling was used to test the models and arrive at a final empirical model.

Findings

Results of the study indicated that investment intention predicts actual investments in the stock market (which represented behaviour). Financial literacy – both subjective and objective – were also found to be significant influencers on intention while only objective financial literacy seemed to affect behaviour. Three variables – perception of regulator, risk avoidance, and hassle factor – were combined to form a second-order construct which was named “Attitude to Investment Behaviour”. This had a negative impact on intention to invest in the equity markets. Financial well-being seemed to have a negative impact on intention while having a positive relationship with behaviour.

Practical implications

The results present significant investor behaviour and policy implications for financial services marketing. Some interventions, especially in the area of consumer financial literacy, are more likely than others to help consumers bridge the gap between non-participation and participation in the stock market.

Originality/value

The study makes a contribution to investor behaviour theory in the form of a comprehensive model to explain SMP in an emerging market. This can be further tested across geographies.

Details

International Journal of Bank Marketing, vol. 35 no. 5
Type: Research Article
ISSN: 0265-2323

Keywords

To view the access options for this content please click here
Book part
Publication date: 9 August 2016

Nancy J. Adler and Joyce S. Osland

Whereas most societal commentators continue to review the historical patterns of men’s leadership in search of models for 21st-century success, few have begun to…

Abstract

Whereas most societal commentators continue to review the historical patterns of men’s leadership in search of models for 21st-century success, few have begun to recognize, let alone appreciate, the equivalent patterns of women’s leadership and the future contributions that women could potentially make as leaders. What could and are women bringing to society as global leaders? Why at this moment in history is there such a marked increase in the number of women leaders? Are we entering an era in which both male and female leaders will shape history, both symbolically and in reality? And if so, will we discover that women, on average, lead in different ways than men, or will we learn that role (global leader) explains more than gender? This chapter reveals the accelerating trends of women joining men in senior leadership positions, establishes the relationship of women leaders to our overall understanding of global leadership, and sets forth an agenda to accomplish much needed research and understanding.

1 – 10 of 40