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3893 items in total found

Journal Articles | 2022

From fear to courage: Indian lesbians’ and gays’ quest for Inclusive ethical organizations

Ernesto Noronha, Nidhi S. Bisht, and Premilla D’Cruz

Journal of Business Ethics

This paper focusses on the experiences of Indian lesbians and gays (LGs) who are subjected to unethical acts of workplace bullying which get manifested through constant guesswork, comments and questioning about their sexual identity in the hostile Indian context. Given this, LG participants usually opt for secrecy and lead a double life, using ‘passing’ and ‘covering’ strategies to manage economic, social and psychological risks. Nonetheless, this paper rewrites the negative tenor of lesbians, gays, bisexuals and transexuals research by underscoring how LG participants move from fear to courage in their endeavour to live authentic lives while considering the broader organizational and social context. We argue that their courage is manifested mainly through deliberate micro-disclosures and a sense of defiance which can be enhanced if organizations are designed to be more inclusive and ethical. Consequently, participants defined inclusive ethical organizations as having conducive environments with trustworthy, supportive, secure, fair, unbiased and safe non-discriminatory policies open to the idea of diverse sexual orientations. Our findings point to the fact that, first and foremost, organizations must be crafted and sustained to be courageous within a hostile social climate, for employees to overcome their fears.

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Journal Articles | 2022

Work from home amenability and venture capital financing during COVID-19

Jagriti Srivastava and Balagopal Gopalakrishnan

Applied Economics

This paper examines the impact of COVID-19 on venture capital financing of firms. We find a significant shift in the profile of firms that obtain venture capital financing during the pandemic-induced economic crisis. Firms in industries that are more amenable to work from home obtain greater amounts of financing. Growth-stage firms operating in amenable industries are able to obtain higher financing than early-stage firms. The higher financing obtained by firms in amenable industries is driven by venture capital funds focused on the domestic market. Additionally, the higher financing is obtained from a single venture capital investor rather than a consortia of investors. Taken together, the preference of venture capital funds indicate a less risk-averse behavior in financing firms amenable to remote working. The findings of our study using monthly firm-level data provide insights on venture capital financing during the pandemic.

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Journal Articles | 2022

Imprinting effects of exposure to the Indian independence movement on export intensity of firms

Saikat Banerjee, Amit Karna, and Sunil Sharma

Journal of Business Research

Extending the concept of historical imprinting and organizational learning, we propose that the prior exposure to the Indian independence movement negatively influences the export intensity of firms. Firm-specific characteristics such as business group affiliation and entrepreneurial orientation act as dynamics of amplification and encourage to utilize the organizational learning gained from the historical imprinting. Business group affiliation strengthens the negative relationship between prior exposure to the Indian independence movement and export intensity. Entrepreneurial orientation strengthens the moderating effect of business group affiliation and prior exposure to the Indian independence movement on export intensity resulting in a three-way interaction effect. We test the hypotheses using panel data of 1,817 Indian firm-year observations for 309 firms from 2007 to 2016. We also discuss the theoretical and managerial implications of our findings.

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Journal Articles | 2022

Policy uncertainty and behavior of foreign firms in emerging economies

Amit Karna and Shamim S. Mondal Viswanath Pingali

Management Decision

Purpose – This study aims to examine how foreign and domestic firms react to policy uncertainty in an emerging economy. In addition, the study investigates if older foreign firms better adapt to policy uncertainty than newer entrants. Design/methodology/approach – The study uses pharmaceutical sales data on India’s cardiovascular segment for January 2011–May 2016. The authors use fixed fixed-effects panel data regression to measure the market reactions of foreign and domestic firms faced with policy uncertainty.

Findings – While domestic and foreign firms react similarly to anticipated policy changes, foreign firms react more adversely to policy uncertainty. Among foreign firms, early entrants respond less adversely than new entrants.

Research limitations/implications – Foreign firms are able to cope with anticipated policy changes in similar vein as the domestic firms by way of a priori reading of the host country’s regulatory landscape. The foreign firms’ response to policy uncertainty is significantly different from domestic firms. The difference between the market response of foreign and domestic firms decreases over time.

Practical implications – The authors’ findings demonstrate that adaptability is the key for new foreign firms to face policy uncertainty. Foreign firms can respond to policy changes, especially the unanticipated ones by imbibing local practices. Social implications – The authors’ findings suggest that enhanced policy uncertainty hurts foreign firms more adversely than domestic firms, and newer foreign firms are more hurt with policy uncertainty than the existing ones. Such uncertainty could also have unintended consequences for consumer welfare.

Originality/value – The authors’ study uses two natural experiments in the same industry within short periods of time. The comparison offers key insights on the differences in domestic and foreign firm responses to the two types of policy uncertainty.

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Journal Articles | 2022

Dynamic vehicle allocation policies for shared autonomous electric fleets

Yuxuan Dong, René De Koster, Debjit Roy, and Yugang Yu

Transportation Science

In the future, vehicle sharing platforms for passenger transport will be unmanned, autonomous, and electric. These platforms must decide which vehicle should pick up which type of customer based on the vehicle’s battery level and customer’s travel distance. We design dynamic vehicle allocation policies for matching appropriate vehicles to customers using a Markov decision process model. To obtain the model parameters, we first model the system as a semi-open queuing network (SOQN) with multiple synchronization stations. At these stations, customers with varied battery demands are matched with semi-shared vehicles that hold sufficient remaining battery levels. If a vehicle’s battery level drops below a threshold, it is routed probabilistically to a nearby charging station for charging. We solve the analytical model of the SOQN and obtain approximate system performance measures, which are validated using simulation. With inputs from the SOQN model, the Markov decision process minimizes both customer waiting cost and lost demand and finds a good heuristic vehicle allocation policy. The experiments show that the heuristic policy is near optimal in small-scale networks and outperforms benchmark policies in large-scale realistic scenarios. An interesting finding is that reserving idle vehicles to wait for future short-distance customer arrivals can be beneficial even when long-distance customers are waiting.

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Books | 2022

Research handbook on strategic entrepreneurship

Vishal K. Gupta, A. Banu Goktan, Galina V. Shirokova and Amit Karna

Edward Elgar

Books | 2022

Studies in quantitative decision making

Diptesh Ghosh, Avijit Khanra, S.V. Vansmalla, Faiz Hamid and Raghu Nandan Sengupta

Springer

Books | 2022

Doing business in India: The PESTEL framework

Anurag K. Agarwal

Springer

Books | 2022

Pulses for food and nutritional security of India: Production, markets and trade

Poornima Varma

Springer

Books | 2022

Causes and symptoms of socio-cultural polarization: Role of information and communication technologies

Israr Qureshi, Babita Bhat, Samrat Gupta and Amit Anand Tiwari

IIMA