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3893 items in total found

Journal Articles | 2018

Intuitionistic fuzzy logit model of discrete choice

Manish Aggarwal, Madasu Hanmandlu, Mark T. Keane, and Kanad K. Biswas

IEEE Transactions on Emerging Topics in Computational Intelligence

In the real-world multicriteria decision making, the evaluations of the various criteria are often vague (or not crisp). The existing choice models are difficult to apply in such situations. In this paper, we introduce an intuitionistic fuzzy variant of the multinomial logit model, which helps us to suggest a decision-maker's likely choices with vague evaluations. The applicability of the proposed model is shown through a real multicriteria decision-making application.

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Journal Articles | 2018

Turning over a golden leaf? Global liquidity and emerging market central bank's demand for gold after the financial crisis

Balagopal Gopalakrishnan and Sanket Mohapatra

Journal of International Financial Markets, Institutions and Money

The quantity of gold reserves held by central banks in emerging markets and developing economies (EMDEs) has risen sharply in the years following the global financial crisis of 2008. EMDE central banks’ gold holdings rose in both absolute terms and as a share of GDP across the developing regions and in most of the EMDE countries, suggesting a pervasive phenomenon. Using a dynamic panel data model, we find that expansion of central bank balance sheets in the advanced economies and increase in global liquidity are robustly related to the post-crisis increase in EMDE gold reserves, after controlling for domestic factors and changes in the global risk environment. This finding is robust to different model specifications, inclusion of additional covariates, and alternative estimation methods. We argue that quantitative easing undertaken by central banks in the advanced economies resulted in a search for alternative safe assets such as gold, which may explain the continued accumulation of EMDE gold reserves even after the peak of the financial crisis.

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Journal Articles | 2018

Disparity in the wages of agricultural labourers in India: An interval-valued data analysis

B.S.Yashavanth and Arnab Kumar Laha

Indian Journal of Agricultural Sciences

This study explores the interval-valued data analysis techniques to witness the spatial disparity in the wage rates of farm labourers in India. Farm labourers constitute more than half of the total workforce engaged in Indian agriculture. Also, farmers' expenses towards labour charges account for more than 50 per cent of the total variable cost of production for most crops.Using the time series data on the nominal farm wage rates paid at different agriculturally important states, the interval-valued series are built. The inflation-adjusted real wage rates are found and both nominal and real wage rate data are used to find the average range of the farm wage rates over the agricultural years for a decade. Using the time series analysis techniques, viz. autoregressive integrated moving average-artificial neural network (ARIMA-ANN) hybrid model and vector autoregressive moving average (VARMA) model, the interval-valued data on nominal wage rates are modelled and the best model for forecasting is identified using forecast evaluation methods. The results established the presence of spatial disparity and the forecasts indicated that this disparity is not going to narrow down in future unless some policy intervention takes place. © 2018 Indian Council of Agricultural Research. All rights reserved.

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Journal Articles | 2018

Fairness in franchisor-franchisee relationship: An integrative perspective

Ateeque Shaikh, Dheeraj Sharma, Akshaya Vijayalakshmi, and Rama Shankar Yadav

Journal of Business & Industrial Marketing

Purpose

This paper aims to elucidate and extend the concept of power and fairness in the context of franchisor–franchisee relationship.

Design/methodology/approach

On the basis of Dul and Hak’s (2007) recommendations, the conceptual model is developed from closely related domains (e.g. channel relationship) using pertinent theories. On the basis of this comprehensive analysis, new propositions about fairness in a franchisee–franchisor context are drawn. The primary purpose of this research is to conceptually and theoretically further the understanding of antecedents and consequences of fairness in a franchisor–franchisee relationship context by proffering a framework. Finally, this study examines the concept of fairness of its antecedents and moderators that have received scant attention in the context of franchising research.

Findings

This study contends that non-coercive power is perceived fairly. Also, coercive power that is legitimate is perceived fairly. However, coercive power that is illegitimate can be detrimental to relationships between franchisee and franchisor. Furthermore, a franchisee who perceives the relationship to be fair is likely to place more trust in relationship, is more satisfied with relationship and is less likely to be opportunistic. Finally, the study contends that these relationship outcomes are dependent on the franchisee’s personality traits.

Research limitations/implications

One major limitation of this study is that the propositions have not been empirically tested. However, this paper cites several business cases that have been used to support the propositions proffered in the study. Our conceptual model supported by previous theoretical findings and industry cases suggests that it is important to focus on social dimensions along with economic costs of a franchisor–franchisee relationship. Future researchers may empirically examine the relationships posited in this study by using the primary industry data.

Originality/value

This paper takes a comprehensive view of various social constructs affecting a franchisor–franchisee relationship. It also highlights the role of individual personality factors in a franchisor–franchisee relationship, extends prior work on relational dimensions from channels to the franchising context and provides managerial conclusions.

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Books | 2018

Contract terms are common sense

Akhileshwar Pathak

Penguin Random House India

Books | 2018

Dissent on Aadhaar: Big data meets big brother

Reetika Khera

Orient Black Swan

Books | 2018

Land use change trends of Indian cities- A bird's eye view: Vulnerabilities of unplanned urban growth

Amit Garg, Vidhee Avashia and Shrutika Parihar

Sage

Books | 2018

Indian perspectives on workplace bullying: A Decade of Insights

Premilla D'Cruz, Ernesto Noronha, Avina Mendonza and Nidhi Mishra

Springer

Books | 2018

Business law for managers: Kaleidoscopic tales

Anurag K. Agarwal

Penguin Random House

Books | 2018

Issues in Indian public policies

Vinod B. Annigeri, R.S. Deshpande and Ravindra Dholakia

Springer

IIMA