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Journal Articles | 2021

Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach

Samrat Gupta and Swanand Deodhar

Information Technology & People

Purpose – Communities representing groups of agents with similar interests or functions are one of the essential features of complex networks. Finding communities in real-world networks is critical for analyzing complex systems in various areas ranging from collaborative information to political systems. Given the different characteristics of networks and the capability of community detection in handling a plethora of societal problems, community detection methods represent an emerging area of research. Contributing to this field, the authors propose a new community detection algorithm based on the hybridization of node and link granulation.

Design/methodology/approach – The proposed algorithm utilizes a rough set-theoretic concept called closure on networks. Initial sets are constructed by using neighborhood topology around the nodes as well as links and represented as two different categories of granules. Subsequently, the authors iteratively obtain the constrained closure of these sets. The authors use node mutuality and link mutuality as merging criteria for node and link granules, respectively, during the iterations. Finally, the constrained closure subsets of nodes and links are combined and refined using the Jaccard similarity coefficient and a local density function to obtain communities in a binary network.

Findings – Extensive experiments conducted on twelve real-world networks followed by a comparison with state-of-the-art methods demonstrate the viability and effectiveness of the proposed algorithm.

Research limitations/implications – The study also contributes to the ongoing effort related to the application of soft computing techniques to model complex systems. The extant literature has integrated a rough set-theoretic approach with a fuzzy granular model (Kundu and Pal, 2015) and spectral clustering (Huang and Xiao, 2012) for node-centric community detection in complex networks. In contributing to this stream of work, the proposed algorithm leverages the unexplored synergy between rough set theory, node granulation and link granulation in the context of complex networks. Combined with experiments of network datasets from various domains, the results indicate that the proposed algorithm can effectively reveal co-occurring disjoint, overlapping and nested communities without necessarily assigning each node to a community.

Practical implications – This study carries important practical implications for complex adaptive systems in business and management sciences, in which entities are increasingly getting organized into communities (Jacucciet al., 2006). The proposed community detection method can be used for network-based fraud detection by enabling experts to understand the formation and development of fraudulent setups with an active exchange of information and resources between the firms (Van Vlasselaer et al., 2017). Products and services are getting connected and mapped in every walk of life due to the emergence of a variety of interconnected devices, social networks and software applications.

Social implications – The proposed algorithm could be extended for community detection on customer trajectory patterns and design recommendation systems for online products and services (Ghose et al., 2019; Liu and Wang, 2017). In line with prior research, the proposed algorithm can aid companies in investigating the characteristics of implicit communities of bloggers or social media users for their services and products so as to identify peer influencers and conduct targeted marketing (Chau and Xu, 2012; De Matos et al., 2014; Zhang et al., 2016). The proposed algorithm can be used to understand the behavior of each group and the appropriate communication strategy for that group. For instance, a group using a specific language or following a specific account might benefit more from a particular piece of content than another group. The proposed algorithm can thus help in exploring the factors defining communities and confronting many reallife challenges.

Originality/value – This work is based on a theoretical argument that communities in networks are not only based on compatibility among nodes but also on the compatibility among links. Building up on the aforementioned argument, the authors propose a community detection method that considers the relationship among both the entities in a network (nodes and links) as opposed to traditional methods, which are predominantly based on relationships among nodes only.

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Journal Articles | 2021

SDG implications of water-energy systems transitions in India under NDC, 2 °c and well below 2 °c

Saritha S. Vishwanathan, Amit Garg, Vineet Tiwari, Manmohan Kapshe, and Tirthankar Nag

Environmental Research Letters

India needs to address the immediate concerns of water supply and demand, due to its increasing population, rapid urbanization, and growing industrialization. Additionally, the changing climate will influence water resources, which will subsequently impact the overall sectoral end-use demand patterns. In this study, we have integrated a water module with the existing bottom-up, techno-economic Asia–Pacific Integrated Model/End-use energy system model for India to estimate the future water demand in major end-use sectors under business-as-usual (BAU), nationally determined contribution (NDC), and low-carbon futures (2 °C and 'well below 2 °C') up to 2050. We also simulate the effects of water constraints on major sectors under different climate-change regimes. Our results show that water-intensive end-use sectors, specifically agriculture and power, will face major impacts under water-constrained scenarios. Over the period between 2020 and 2050, policy measures taken under the NDC scenario can cumulatively save up to 146billion cubic metres (bcm) of water, while low-carbon scenarios can save 20–21 bcm of water between 2020 and 2050, compared with BAU. In a water-constrained future, NDC and low-carbon futures can save 28–30 bcm of water. There is a need to increase the current water supply by 200–400 bcm. The marginal cost of installing dry cooling systems in the power sector is considerably higher than the cost and benefits of installing micro-irrigation systems with solar PV. Integrated policy coherence is required to achieve sustainable development goals, e.g., NDC and Paris Agreement goals, in both water and energy sectors. Concurrently, regulatory and economic instruments will play an essential role in improving resource-use efficiency at a systemic level, to reduce the overall water demand.

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Journal Articles | 2021

Rational repricing of risk during COVID-19: Evidence from Indian single stock options market

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

Journal of Futures Markets

Could the COVID-19 related market crash and subsequent rebound be explained as a rational response to evolving conditions? Our results using multiple forward-looking measures of uncertainty implied from stock option prices suggest so. First, we find a gradual build-up of volatility during the month preceding the spike at the start of the pandemic. Second, while tail risk declined after government interventions, the level of uncertainty remained elevated for stocks across industries. Third, the dynamics of decline in tail risk in stocks was industry-dependent, suggesting that the market performed a fine-grained analysis of each stock's uncertainty through the pandemic.

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Journal Articles | 2021

Family firms and their participation in cross-border acquisition waves: evidence from India

Mohammad Fuad, Vinod Thakur, and Ashutosh Kumar Sinha

Cross Cultural & Strategic Management

Purpose – From the socioemotional wealth (SEW) perspective, family firms prioritize non-financial goals and show risk averse behaviour towards conducting acquisitions. In this paper, we study family firms' acquisitive behaviour while participating in CBA waves. Scholars have largely treated the cross border acquisition (CBA) wave and non-wave environments as homogeneous. We theorize that these two environments differ in their uncertainty and risk profiles on account of temporal clustering of acquisition deals. Accordingly, based on the SEW perspective, we examine the preference of family firms to participate in CBA waves. Design/methodology/approach – The paper is based on CBAs conducted by Indian family firms between 2000 and 2018. These waves are identified by conducting a simulation based methodology. Findings – Our findings suggest that foreign institutional ownership, firm age and acquisition relatedness moderate the relationship between family control and participation in CBA waves. Originality/value – Our paper contributes towards the acquisitive behavior of family firms and their participation in CBA waves.

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Journal Articles | 2021

How global marketing can be more global and more marketing: A bottom-up perspective from subsistence marketplaces

Madhubalan Viswanathan and Arun Sreekumar

Journal of Global Marketing

Our journey to subsistence marketplaces has been global in scope and resonates with marketing in beginning at the micro-level with a bottom-up orientation in understanding consumers, communities, and the larger context. This space offers an opportunity for us to discuss the broader lessons learned from this journey for global marketing.

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Journal Articles | 2021

Impostor phenomenon among engineering education researchers: An exploratory study.

Devasmita Chakraverty

International Journal of Doctoral Studies

Aim/Purpose

The purpose of this study was to explore reasons that engineering education researchers experience impostor phenomenon.

Background

Experiencing impostor phenomenon includes a psychological discomfort experienced by some high-achieving individuals who, by the very virtue of being successful, mistakenly believe that they are fraudulent and faking their success. Impostor phenomenon has been studied more broadly in science, technology, engineering, and mathematics (STEM), with little research specifically in engineering and computer science and none, to the author’s knowledge, in engineering education research. As an emerging discipline, some of the challenges in engineering education research include its poor connection with engineering teaching and learning, establishing multidisciplinary collaborations, and advancing global capacity. As a result of its poor connection with engineering fields, and being a new discipline, it is possible that engineering education researchers hold an identity that is different from engineering researchers. Some of them could be experiencing their training differently, struggling to find mentors from a similar background, and possibly feeling like impostors.

Methodology

Using purposive sampling and snowball sampling, US-based engineering education researchers participated in a short survey and a semi-structured interview. The survey consisted of demographic questions, items of the Clance Impostor Phenomenon Scale, and an open-ended question about an instance when participants experienced impostor phenomenon. Interviews examined, in detail, reasons for experiencing impostor phenomenon as engineering education researchers. The scale provided a measure of the intensity of impostor phenomenon. Interviews were analyzed inductively through constant comparison using a constructivist approach.

Contribution

Findings indicated various axes of othering (separating those who are perceived as different, non-dominant, or outsiders from the majority or popularly accepted norm) that made it difficult to develop a sense of belonging, especially for women, and contributed to impostor phenomenon. Othering occurred through identity-based experiences (gender-identity, engineer-identity), different methodologies used to conduct research, and different vocabulary used for academic communication.

Findings

The sample comprised of eleven participants (PhD students, postdoctoral scholars, and faculty), all of whom experienced high to intense impostor phenomenon (range: 61-91/100; mean 75.18). Participants were predominantly white women from twenties to forties. Interviews indicated two reasons for experiencing impostor phenomenon: (1) existing in a separate world from engineering (referring to cultural differences between engineering and engineering education including differences in communication styles, methodologies, and identities); and, (2) facing gendered experiences (for women).

Recommendations for Practitioners

It is recommended that practitioners are mindful of the tensions between worldviews, commonly used methodologies, and demographic differences between engineering research and engineering education research that could shape one’s experience in the field and contribute to “othering” during doctoral training and thereafter.

Recommendation for Researchers

Doctoral and post-doctoral training in engineering education research could be more inclusive and open to different research methodologies. Future studies deeply exploring various training challenges experienced by engineering education researchers could illuminate how the field could become more inclusive.

Impact on Society

The current study provides a nuanced understanding of the dichotomy between engineering and engineering education research, including the different styles in academic communication, research methodologies used, and identities. It also provides an understanding of the gendered experiences women have in the field, pointing to an overt or covert lack of recognition. Both these factors could make some feel like outsiders or impostors who question themselves and doubt their competencies and belonging in the field. Attrition from the field could be costly, even to the society, at large, given that the field is relatively new, evolving, and not (yet) as diverse in its worldviews, methodologies, and the demography of those it attracts for doctoral training and beyond. The study provides evidence-based understanding of how training in engineering education researchers could be re-imagined.

Future Research

Future research could examine, in detail, aspects of engineering education research training that may contribute to impostor phenomenon, poor belonging, poor identity, and othering experiences.

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Journal Articles | 2021

Meaningfulness and impact of academic research: Bringing the global south to the forefront

Premilla D'Cruz, Ernesto Noronha, and Sudhir Katiyar

Business and Society

Alongside scholarly and societal dimensions of research impact, the meaningfulness of research, emerging from the link to context, is crucial. Authentic inclusion of Global South scholars based in the Global South aids these objectives.

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Journal Articles | 2021

Lottery and bubble stocks and the cross-section of option-implied tail risks

Sobhesh Kumar Agarwalla, Sumit Saurav, and Jayanth R. Varma

Journal of Futures Market

The options smile provides forward-looking information about the risk at the center of the distribution (ATM-IV) and at the tails (Skew). We investigate the cross-sectional determinants of the options smile using indices that capture firm fundamental risks, heterogeneity in belief, lottery characteristics, and bubble characteristics. We find that at-the-money (ATM) volatility is explained mainly by historical risks and predicted future risks measured using accounting-based risk measures and firm characteristics. However, the cross-sectional variation in the skew is driven by risk premia and by buying and selling pressure, which is influenced by heterogeneity in belief and the underlying's lottery-like and bubble-like characteristics.

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Journal Articles | 2021

Time discount rate of forest-dependent communities: Evidence from Andhra Pradesh

Sundar Balakrishna and Vineet Virmani

Vikalpa: The Journal for Decision Makers

This study presents evidence on time discount rate of forest-dependent communities (FDCs) in the backdrop of the joint forest management program launched by the Government of India in 1990. The study uses data from two regions of the Indian state of Andhra Pradesh—Rayalaseema (a relatively dry forest region with low income) and the coastal region (relatively fertile forest and with higher income). We also identify socio-economic determinants of their patience levels and factors which distinguish the two regions. To elicit individual discount rates of FDCs members and their determinants, we use the choice task design methodology. Members from both regions were found to be highly impatient using the standard choice task design with the revealed time discount rate averaging 800% per annum. Members of FDCs from Rayalaseema were more impatient than their counterparts from the coastal region, although the statistical evidence is weak. We find no association between the income of members of FDCs and their time discount rate for both regions. Membership to caste categories showed a different response in both the regions, with members from the Scheduled Caste category and Other Backward Classes found to have a lower discount rate than those from the Scheduled Tribes category of Rayalaseema region and vice versa for the coastal region. For the coastal region, those with larger family size and heads of households were found to have a lower discount rate.

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Journal Articles | 2021

Web applications for teaching portfolio analysis and option pricing

Vineet Virmani and Jayanth R. Varma

Advances in Financial Education

IIMA