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887 items in total found

Journal Articles | 2018

Project Nirman: The way ahead

Anamika Sinha, Biju Varkkey, and Priyanka Dave

South Asian Journal of Business and Management Cases

Project Nirman by SAATH, a Gujarat-based NGO, aimed at empowering and training migrated workmen as masons, carpenters and electricians as per industry requirements. The project was funded by Bosch India Foundation. Although all aspects of the pilot project were successfully tested for sustainability, continuous funding remained a challenge. The project’s protagonist wanted to upscale operations but was facing a dilemma. While exploring options for sustainability on a continuum of dependency to complete self-sufficiency, the protagonist became increasingly aware of roles and identities of each partner in such alliances.

Some peripheral dilemmas like challenges in identifying a socially relevant project, upscaling the pilot project, identifying team capabilities for growth and need for value integration by different stakeholders for desired growth were noted. This case closes by questioning on how strategic alliances should be made so that the four partners — government, community, Non-government Organization and corporate — learn to coexist with mutual respect.

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Journal Articles | 2018

Energy balance of Indian villages: A case study of seven villages

Amit Garg, Jaypalsinh Chauhan, and Abha Chhabra

Journal of Operation and Strategic Planning

This paper estimates the rural energy balance of 7 Indian villages of different agro-climate zones. This was done through primary survey of households in each village covering energy consumption, production, export, import and stock change across Crop, Livestock, Industry/Trade, Tree outside forest/plantations and Residential Sector. An energy flow model was created to capture all the various energy flows at household levels. Two villages are showing Negative annual energy balance—one is the desert village of Gujarat state and another is a tribal village of Mizoram state. All other villages were found to be energy positive mainly due to high forest density and high crop yields.

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Journal Articles | 2018

Investigating the impact of workforce racial diversity on the organizational corporate social responsibility performance: An institutional logics perspective

Amalesh Sharma, Aditya Christopher Moses, Sourav Bikash Borah, and Anirban Adhikary

Journal of Business Research

Racial diversity is considered an integral part of the business world. The extant literature has focused on the effect of racial diversity on a firm's financial performance and presented mixed findings. Building on the institutional logics lens and using a sample of 204 firms belonging to 9 industries and spread across 21 countries for a period of six years, we explore the impact of workforce racial diversity on the Corporate Social Responsibility Performance (CSRP) of a firm. In addition, we also investigate the contingency effects of a firm's absorptive capacity and slack resources on the proposed relationship. Using a seemingly unrelated regression model and accounting for endogeneity, we find that racial diversity has an inverted U-shaped relationship with a firm's financial and social performance and has a U-shaped relationship with its environmental performance. We also find significant moderating effects. Thus, we contribute to the theory and practice in the field.

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Journal Articles | 2018

Managing children's internet advertising experiences: Parental preferences for regulation

Akshaya Vijayalakshmi Meng‐Hsien (Jenny) Lin and Russell N. Laczniak

Journal of Consumer Affairs

Recent research suggests that children are spending a significant amount of time on the Internet which increases their exposure to subtle, engaging, and interactive ads. As a result, policy makers have developed regulations intended to empower parents to manage their children's exposure to Internet advertising. However, prior research has not examined parental perceptions of these regulations. This article aims to identify (1) parents' regulatory preferences regarding children's exposure to Internet advertising and (2) whether (and how) parents' locus of control (LOC) drives their regulation preferences. Findings reveal that internal-LOC parents prefer parental responsibility while external-LOC parents prefer government regulations, parental responsibility, and involvement of independent organizations and firms. External-LOC parents' preference is mediated by their concerns about Internet advertising and their tendency to have faith in regulation. Policy makers can use the findings to develop guidelines that better assist parents in influencing their children's Internet use.

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Journal Articles | 2018

Theoretical comparisons of estimators of finite population proportion under simple random sampling. Stastistics and Applications

Sumanta Adhya, and Tathagata Banerjee

Statistics and Applications

We consider the classical survey problem of estimation of finite population proportions based on a polychotomous response variable when data on an auxiliary variable is known for all units in the finite population. Under simple random sampling different model and design-based estimators are compared theoretically and it is shown that model-based estimator performs more efficiently under mild conditions.

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Journal Articles | 2018

Internet channel cannibalization and its influence on salesperson performance outcomes in an emerging economy context

Dheeraj Sharma, S.K. Pandey, Rajesh Chandwani, Peeyush Pandey, and Rojers Joseph

Journal of Retailing and Consumer Services

Businesses increasingly use internet channels to increase their market penetration. However, empirical studies have shown that salespeople perceive Internet channels to be cannibalistic, effecting other sales—an effect that past researchers have termed as salesperson perceived cannibalization (SPC). None of these studies has examined this phenomenon in an emerging economies context, which has distinct dimensions. In this paper, we explore the influence of SPC on insurance sales agents in an emerging economy context through the lens of Structuration theory. We examine the SPC's impact on job performance and client professionalism. We further examine the moderating role of relational capital and perception of fairness on the influence of SPC on job performance and client professionalism.

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Journal Articles | 2018

Attitudinal Choquet integrals and applications in decision making

Manish Aggarwal

International Journal of Intelligent Systems

The compensation capabilities of Choquet integral are augmented to consider the complex attitudinal character of a decision maker. The resulting operator is termed as attitudinal Choquet integral (ACI). The proposed ACI is further extended as induced ACI. The special cases of ACI are investigated. The usefulness of ACI is shown through a case study.

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Journal Articles | 2018

Preferences-based learning of multinomial logit model

Manish Aggarwal

Knowledge and Information Systyems

We learn the parameters of the popular multinomial logit model to gain insights about a DM’s decision process. We accomplish this objective through the recent algorithmic advances in the emerging field of preference learning. The empirical evaluation of the proposed approach is performed on a set of 12 publicly available benchmark datasets. First experimental results suggest that our approach is not only intuitively appealing, but also competitive to state-of-the-art preference learning methods in terms of the prediction accuracy.

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Journal Articles | 2018

Modelling subjective utility through entropy

Manish Aggarwal

Journal of the Operational Research Society

We introduce a novel entropy framework for the computation of utility on the basis of an agent’s subjective evaluation of the granularised information source values. A concept of evaluating agent as an information gain function of this entropy framework is presented, which takes as its arguments both an information source value and the agent’s evaluation of the same. A method to model the agent’s perceived utility values is proposed. Based on these values, several new measures are designed for the evaluation of the information source values, perceived utilities, and the evaluating agent. A real application is included.

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Journal Articles | 2018

Learning of a decision-maker's preference zone with an evolutionary approach

Manish Aggarwal

IEEE Transactions on Neural Networks and Learning Systems

A new evolutionary-learning algorithm is proposed to learn a decision maker (DM)'s best solution on a conflicting multiobjective space. Given the exemplary pairwise comparisons of solutions by a DM, we learn an ideal point (for the DM) that is used to evolve toward a better set of solutions. The process is repeated to get the DM's best solution. The comparison of solutions in pairs facilitates the process of eliciting training information for the proposed learning model. Experimental study on standard multiobjective data sets shows that the proposed method accurately identifies a DM's preferred zone in relatively a few generations and with a small number of preferences. Besides, it is found to be robust to inconsistencies in the preference statements. The results obtained are validated through a variant of the established NSGA-2 algorithm.

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