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821 items in total found

Journal Articles | 2021

Web applications for teaching portfolio analysis and option pricing

Vineet Virmani and Jayanth R. Varma

Advances in Financial Education

Journal Articles | 2021

Relationship between negative teacher behaviors and student engagement: Evidence from India

Samvet Kuril, Vishal Gupta, and Vijaya Sherry Chand

International Journal of Educational Research

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Journal Articles | 2021

Guest editorial: Architecting management scholarship in the era of disruption

Vishal Gupta, Naresh Khatri, and Karthik Dhandapani

South Asian Journal of Business Studies

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Journal Articles | 2021

Mobile technology to give a resource-based knowledge management advantage to community health nurses in an emerging economies contex

Judith Fletcher-Brown, Diane Carter, Vijay Pereira, and Rajesh Chandwani

Journal of Knowledge Management

Purpose – Knowledge is a key success factor in achieving competitive advantage. The purpose of this paper is to examine how mobile health technology facilitates knowledge management (KM) practices to enhance a public health service in an emerging economies context. Specifically, the acceptance of a knowledge-resource application by community health workers (CHWs) to deliver breast cancer health care in India, where resources are depleted, is explored.

Design/methodology/approach – Fieldwork activity conducted 20 semi-structured interviews with frontline CHWs, which were analysed using an interpretive inductive approach.

Findings – The application generates knowledge as a resource that signals quality health care and yields a positive reputation for the public health service. The CHW’s acceptance of technology enables knowledge generation and knowledge capture. The design facilitates knowledge codification and knowledge transfer of breast cancer information to standardise quality patient care.

Practical implications – KM insights are provided for the implementation of mobile health technology for frontline health-care professionals in an emerging economies context. The knowledge-resource application can deliver breast cancer care, in localised areas with the potential for wider contexts. The outcomes are valuable for policymakers, health service managers and KM practitioners in an emerging economies context.\

Social implications – The legacy of the mobile heath technology is the normalisation of breast cancer discourse and the technical up-skilling of CHWs.

Originality/value – First, this paper contributes three propositions to KM scholarship, in a public health care, emerging economies context. Second, via an interdisciplinary theoretical lens (signalling theory and technology acceptance model), this paper offers a novel conceptualisation to illustrate how a knowledge-resource application can shape an organisation’s KM to form a resource-based competitive advantage.

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Journal Articles | 2021

Exploration of factors affecting the use of Web 2.0 for knowledge sharing among healthcare professionals: an Indian perspective

Bhawana Maheshwari, Miguel Sarrion, Manoj Motiani, Siobhan O'Sullivan, and Rajesh Chandwani

Journal of Knowledge Management

Purpose

This study aims to explore knowledge sharing (KS) attitudes and intention of healthcare professionals in India through the use of information and communication technology platforms such as Web 2.0. The research specifically focuses on individual motivators such as the face, reputation and reciprocity, which, to an extent, are influenced by indigenous culture.

Design/methodology/approach

The study uses a cross-sectional survey design to collect data. A sample of 207 was obtained from professionals working in healthcare in India. The data were analyzed using the partial least square-structural equation modeling.

Findings

The results confirmed that attitude toward KS leads to the intention to share knowledge. Attitude toward KS using Web 2.0 was found to be positively related to self-efficacy and reciprocity. Furthermore, face and reputation were found to moderate the relationship between attitude and intention to share knowledge while the moderating effect of rewards was found to be insignificant.

Research limitations/implications

This study was limited to healthcare professionals in India. Knowledge workers in other industries can be considered for further studies.

Practical implications

This study provides useful insights into KS practices using Web 2.0 among knowledge workers. Particularly it emphasizes the individual motivators, which can be manipulated by Web 2.0 designers to nurture a positive attitude toward KS and to encourage user’s participation.

Originality/value

The study investigates, using an integrated theoretical framework, how certain factors act as a motivator or a barrier for sharing knowledge using Web 2.0. in the specific cultural context of healthcare professionals in India.

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Journal Articles | 2021

A systematic review of labor-saving technologies: Implications for women in agriculture

Vidya Vemireddy and Anjali Choudhary

Global Food Security

In this study, we systematically review the literature on adoption factors and impacts of labor-saving technologies (LSTs) by smallholder and women farmers in developing countries. 85 articles are included in the review after meeting strict selection criteria through a search across several electronic platforms. We highlight several research gaps that need future research focus. Future research should include gendered differences in factors such as – comparing extension models, social networks, and farmers' underlying technological perceptions. We show the need for designing and providing access to gender-friendly LSTs suited to the context. While there are clear impacts of LST adoption on labor and productivity, few studies examine negative consequences such as labor-displacement. Further examination of these trade-offs and differential impacts on welfare dimensions across gender is needed. Our results indicate implications for future research and policy regarding incorporating gender differences in designing, promotion, and adoption of LSTs to reduce womnen's work burdens and to enhance welfare outcomes.

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Journal Articles | 2021

A prescriptive analytics framework for efficient E-commerce order delivery

Shanthan Kandula, Srikumar Krishnamoorthy, and Debjit Roy

Decision Support Systems

Achieving timely last-mile order delivery is often the most challenging part of an e-commerce order fulfillment. Effective management of last-mile operations can result in significant cost savings and lead to increased customer satisfaction. Currently, due to the lack of customer availability information, the schedules followed by delivery agents are optimized for the shortest tour distance. Therefore, orders are not delivered in customer-preferred time periods resulting in missed deliveries. Missed deliveries are undesirable since they incur additional costs. In this paper, we propose a decision support framework that is intended to improve delivery success rates while reducing delivery costs. Our framework generates delivery schedules by predicting the appropriate delivery time periods for order delivery. In particular, the proposed framework works in two stages. In the first stage, order delivery success for every order throughout the delivery shift is predicted using machine learning models. The predictions are used as an input for the optimization scheme, which generates delivery schedules in the second stage. The proposed framework is evaluated on two real-world datasets collected from a large e-commerce platform. The results indicate the effectiveness of the decision support framework in enabling savings of up to 10.2% in delivery costs when compared to the current industry practice.

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Journal Articles | 2021

Reinventing the universal structure of human values: Development of a new holistic values scale to measure Indian values.

Rajat Sharma

Journal of Human Values

This article investigates the universal values scale, Schwartz Value Survey (SVS) for its applicability to measure cultural context-specific values. The study establishes a need to construct a new scale by identifying and incorporating Indian culture-specific values in SVS. Deriving data using self-assessment questionnaires from 709 respondents in 2 studies and analysing them using principal component analysis and structural equation modelling, the article reconceptualizes Schwartz’s Portrait Values Questionnaire (PVQ) and the 10 motivational value factors and develops a new 76-item Holistic Values Scale (HVS) to measure Indian values using well-established scale development methods. The article further presents the research and policy implications and future research areas in this domain.

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Journal Articles | 2021

The impact of COVID-19 on tail risk: Evidence from Nifty index options

Sobhesh Kumar Agarwalla, Jayanth R. Varma, and Vineet Virmani

Economic Letters

We investigate the impact of COVID-19 using multiple forward-looking measures of uncertainty in Indian stock markets using liquid Nifty index options. The WHO declaration of COVID-19 as a pandemic coincides with a sharp rise in all measures of uncertainty considered, including option-implied volatility smiles, risk-neutral density, skewness, and kurtosis. We find that while subsequent government-imposed lockdowns and monetary easing induced a near-normalization of skewness and kurtosis, the volatility level remained elevated, demonstrating the importance of higher moments in capturing uncertainty during a pandemic. Structural breaks identified using the Bai–Perron methodology closely track the dates of significant announcements or interventions.

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Journal Articles | 2021

Designing and driving crowdsourcing contests in large public service organizations

B S Kiran and Rajat Sharma

Research-Technology Management

Overview: When designed and driven efficiently, crowdsourcing can leverage the power of collective intelligence and yield innovative solutions. To date, the crowdsourcing literature has focused on exemplary corporate initiatives and less on crowdsourcing contests in public service organizations (PSOs), which have a diverse ecosystem. Existing literature has only sparsely studied the design aspect of crowdsourcing as a process. We explored crowdsourcing contests hosted by two large PSOs, Deutsche Bahn and Indian Railways, from a process perspective. We created a six-stage framework for crowdsourcing contests that other PSOs can use. We highlight the need for effective internal and external marketing to enhance the effectiveness of crowdsourcing in PSOs. With structured efforts, crowdsourcing contests can help PSOs cocreate impactful solutions by seamlessly blending internal and external knowledge and efforts.

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