By integrating sociological factors, this study explores novel causal mechanisms to broaden the understanding of subjective economic well-being (SEWB). The results of a probit regression analysis of Indian Human Development Survey (IHDS) cross-sectional and panel data reveal a positive, significant effect of successful upward intergenerational occupational mobility on improved perceptions of SEWB. The findings remain robust and significant irrespective of changes in the acquisition and possession of household material assets. The empirical evidence presented herein showcases the utility of adding sociological factors to the discourse on SEWB. Additionally, the present study offers an alternative perspective on the primacy accorded to material possessions in the SEWB literature in marketing. The functionings-capabilities framework is offered as an explanatory framework to interpret the findings. Together, the study offers clear theoretical and managerial contributions to a more nuanced understanding of SEWB. © 2021 Elsevier Inc.

Multi-stage semi-open queuing networks (SOQNs) are widely used to analyze the performance of multi-stage manufacturing systems and automated warehousing systems. While there are several methods available for solving single-stage SOQNs, solution methods for multi-stage SOQNs are limited. Decomposition of a multi-stage SOQN into single-stage SOQNs and evaluation of an individual single-stage SOQN is a possibility. However, the challenge lies in obtaining the job departure process information from an upstream single-stage SOQN to evaluate the performance of a downstream single-stage SOQN. In this paper, we propose a two-moment approximation approach for estimating the squared coefficient of variation of the job inter-departure time from a single-stage SOQN, which can serve as an input to link multi-stage SOQNs. Using numerical experiments, we test the robustness of the proposed approach for various input parameter settings for both single and multi-class jobs. We find that the proposed approach works quite well, particularly when the coefficient of variation of the job inter-arrival time is less than two. We demonstrate the efficacy of the proposed approach using a case study on a multi-tier shuttle-based compact storage system and benchmark our results with an existing approach. The results indicate that our approach yields more accurate estimates of the performance measures in comparison to the existing approach in the literature. © 2020 Elsevier Ltd

In this paper, we study the hub location problem of an entrant airline that tries to maximize its share in a market with already existing competing players. The problem is modeled as a non-linear integer program, which is intractable for off-the-shelf commercial solvers, like CPLEX and Gurobi, etc. Hence, we propose four alternate approaches to solve the problem. The first among them uses the Kelley's cutting plane method, the second is based on a mixed integer second order conic program reformulation, the third uses the Kelley's cutting plane method within Lagrangian relaxation, while the fourth uses second order conic program within Lagrangian relaxation. On the basis of extensive numerical tests on well-known datasets (CAB and AP), we conclude that the Kelley's cutting plane within Lagrangian relaxation is computationally the best. It is able to solve all the problem instances of upto 50 nodes within 1% optimality gap in less than 10 minutes of CPU time. © 2020 Elsevier B.V.

The content generation strategy of a sports franchise determines whether the user engagement increases or decreases on social media platforms. Thus, the role of Chief Operating Officer (COO) is profound who generally decides and governs social media policies of the franchises. We show that the cultural differences between local-COO vis-à-vis foreign-COO-governed sports franchises reflect in their content generation strategy and are also associated with user engagement. We use Hofstede's cultural dimensions theory and extract relevant features from the tweets. Overall, the results show that user engagement is more when the content generation strategy is in alignment with fans’ national culture. The first contribution of our work is towards showing the incremental impact of power distance, individualism and collectivism on user engagement. The second contribution of our work is towards feature construction, feature selection and building authorship attribution classifiers to understand the content generation strategy. Prior literature shows that national culture impacts writing of online reviews. We investigate the role of national culture in social media content generation and user engagement and extend the literature. Our study is useful for organizations to understand the role of national culture in content generation and how it is related to user engagement. © 2020 Elsevier Ltd

The present study extends research on the role of celebrity endorsements in destination marketing by exploring various facets of the effect of celebrity endorsements in destination marketing on the consumer. More specifically, theories of source credibility, congruence, social identity and consumer cosmopolitanism, are used to build research questions that investigate the relative effectiveness of a celebrity endorsed tourism advertisement vis a vis a generic advertisement and the boundary conditions governing the same such as destination type (local/global), celebrity country of origin and consumer level factors. The research questions are addressed using four experimental studies in sequence. The same four experiments are run in three countries with different socio-cultural backgrounds to enhance generalization, with a combined sample size of 1073 respondents. Major findings suggest that a celebrity endorser is effective for a destination advertisement. Significant cross-country differences were observed in consumer affect depending on the choice of celebrity (local or global) and the destination type (i.e., domestic or international). The effects are also moderated by consumer cosmopolitanism. The study has multiple theoretical and managerial implications. © 2020 Elsevier Ltd

The role of key individuals, such as the chief marketing officer (CMO), in the internationalization process has largely been ignored in the international business literature. Given the importance of the CMO in internationalization and to address this gap in the literature, this study focuses on the role of the CMO – a key individual in organizations who, with adequate levels of discretion, can act as a conduit of knowledge in international markets, facilitating the internationalization of the firm. Drawing on the literature on managerial discretion, internalization theory, and its microfoundations, we argue that the CMO's strategic, operational, and financial discretion, respectively, have positive yet diminishing effects on internationalization. Further, the international experience of the top management team (TMT) and the CMO’s equity compensation moderate these relationships. We contribute to internalization theory and the growing body of literature on the role of the TMT and CMO. © 2021, Academy of International Business.

Air-conditioning is expected to be the largest consumer of residential energy in India in the future. Good consumer practices related to servicing air-conditioners (ACs) are critical for maintaining high operational efficiency of ACs and reducing leakages of high global warming potential (GWP) refrigerant gases. Little information, however, is available about the knowledge and practices of Indian AC consumers in terms of their operational practices. The Government of India's ‘India Cooling Action Plan (ICAP)’ recommends a massive consumer awareness program to inform and change AC user behaviour. Within this context of the ICAP that aims to provide access to sustainable cooling to its masses while minimising its environmental impacts, we undertake a survey and a Randomised Control Trial (RCT) experiment including Indian consumers. The survey and experiment together aim to understand the AC servicing behaviour of Indian consumers and experiment with alternative interventions to influence their behaviour and glean insights for India's energy and climate policies. The behavioural experiment is a unique and novel methodological contribution to India's cooling and climate debate. This research is a first-of-its-kind RCT study of Indian consumers' AC servicing practices. We find that the AC users' knowledge of the importance of preventive servicing is much lower than required. The interventions were successful in enhancing general awareness related to the importance of servicing practices, but not in enhancing technical knowledge related to specific good servicing practices. Our analysis shows that consumers who know about the economic benefit of servicing are more likely to undertake preventive servicing. Our findings highlight the presence of information asymmetry in the Indian residential cooling market and argue that this needs to be addressed for achieving the desired behavioural change and actions to mitigate climate change. © 2020 The AuthorsCooling; Climate; Efficiency; Behaviour; Experiment; India. © 2020 The Authors

Distress propagation occurs in connected networks, its rate and extent being dependent on network topology. To study this, we choose economic production networks as a paradigm. An economic network can be examined at many levels — linkages among individual agents (microscopic), among firms/sectors (mesoscopic) or among countries (macroscopic). New emergent dynamical properties appear at every level, so the granularity matters. For viral epidemics, even an individual node may act as an epicenter of distress and potentially affect the entire network. Economic networks, however, are known to be immune at the micro-levels and more prone to failure in the meso/macro-levels. We propose a dynamical interaction model to characterize the mechanism of distress propagation, across different modules of a network, initiated at different epicenters. Vulnerable modules often lead to large degrees of destabilization. We demonstrate our methodology using a unique empirical data-set of input–output linkages across 0.14 million firms in one administrative state of India, a developing economy. The network has multiple hub-and-spoke structures that exhibits moderate disassortativity, which varies with the level of coarse-graining. The novelty lies in characterizing the production network at different levels of granularity or modularity, and finding ‘too-big-to-fail’ modules supersede ‘too-central-to-fail’ modules in distress propagation. © 2020 Elsevier B.V.

[No abstract available]

The coronavirus disease 2019 (COVID-19) pandemic is an issue of global significance that has taken the lives of many across the world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for its pathogenesis. The pulmonary manifestations of COVID-19 have been well described in the literature. Initially, it was thought to be limited to the respiratory system; however, we now recognize that COVID-19 also affects several other organs, including the nervous system. Two similar human coronaviruses (CoV) that cause severe acute respiratory syndrome (SARS-CoV-1) and Middle East respiratory syndrome (MERS-CoV) are also known to cause disease in the nervous system. The neurological manifestations of SARS-CoV-2 infection are growing rapidly, as evidenced by several reports. There are several mechanisms responsible for such manifestations in the nervous system. For instance, post-infectious immune-mediated processes, direct virus infection of the central nervous system (CNS), and virus-induced hyperinflammatory and hypercoagulable states are commonly involved. Guillain-Barré syndrome (GBS) and its variants, dysfunction of taste and smell, and muscle injury are numerous examples of COVID-19 PNS (peripheral nervous system) disease. Likewise, hemorrhagic and ischemic stroke, encephalitis, meningitis, encephalopathy acute disseminated encephalomyelitis, endothelialitis, and venous sinus thrombosis are some instances of COVID-19 CNS disease. Due to multifactorial and complicated pathogenic mechanisms, COVID-19 poses a large-scale threat to the whole nervous system. A complete understanding of SARS-CoV-2 neurological impairments is still lacking, but our knowledge base is rapidly expanding. Therefore, we anticipate that this comprehensive review will provide valuable insights and facilitate the work of neuroscientists in unfolding different neurological dimensions of COVID-19 and other CoV associated abnormalities. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Using unique household-level data from rural areas of six energy-access-deprived states in India, we examine the willingness-to-pay (WTP) for exclusive use of liquefied petroleum gas (LPG) for cooking. We find that awareness about LPG's health benefits and diffusion of LPG within the community are the strongest determinants of WTP for exclusive use of LPG. Among demographic characteristics, only household size is correlated with WTP. Importantly, households exhibit significant price elasticity with regards to exclusive use of LPG. Households with irregular cash flows are less likely to pay for exclusive use of LPG. We find limited evidence supporting a negative association between availability of free biomass and the WTP for exclusive use of LPG. In contrast, higher household expenditure on purchased biomass is positively associated with WTP. Our estimates of mean WTP suggest that they are higher than the current effective monthly cost of subsidized LPG across households. However, they mask variation, and disaggregated estimates suggest that about 40–45 per cent of the households not using LPG as their primary fuel have a lower WTP than the current effective monthly cost of subsidized LPG and hence would need additional support to enable their cooking energy transition. © 2020 Elsevier Ltd

Purpose: Consumers subscribe to different mindsets or implicit theories of personality malleability, namely, fixed and growth mindsets. This study aims to investigate how and why consumers’ mindsets can influence their word-of-mouth (WOM) intentions toward a brand and the consequent implications for a brand’s personality. Design/methodology/approach: Three mall-intercept studies and one online study demonstrate the influence of consumers’ fixed and growth mindsets on their WOM intentions. The first two mall-intercept studies identify motivations underlying consumers’ WOM intentions as a function of their mindset orientations. The third mall-intercept study examines the implications of such mindset-oriented WOM intentions for a brand’s personality dimension and the underlying psychological mechanism. The fourth study tests the link between WOM intent and behavior. Findings: Results show that fixed (growth) mindset individuals exhibit greater WOM intentions than growth (fixed) mindset individuals for motives of “impression management” (“learning and information acquisition”). Findings further demonstrate that brands that exhibit dual personality dimensions simultaneously, one salient and the other non-salient at any instant, garner equivalent WOM intentions from both fixed and growth mindset individuals, contingent on the fit between the salient brand personality dimension and the dominant consumer mindset. Finally, using a real brand, it can be seen that WOM intentions actually translate into behavior. Research limitations/implications: The study measures offline WOM intent but not offline WOM behavior. Practical implications: This study sheds new light on branding strategy by demonstrating how and why dual-brand personalities may attract consumers with both kinds of implicit self-theory orientations. Relatedly, it also demonstrates a technique of framing ad-appeals that support the dual-brand personality effect. Originality/value: To the best of the authors’ knowledge, this is the first study to propose and demonstrate the use of simultaneous dual-brand personalities as an optimal branding strategy. © 2020, Emerald Publishing Limited.

The present study extends prior research on stockouts by examining how product-related attributes interact with OOS justifications to influence consumer responses to stockouts. Drawing from Out-of-stock (OOS) literature, this study investigates how perceived popularity, perceived uniqueness, negative affect, and behavioral outcomes are influenced by out-of-stock justifications, product type, and sales level. Two scenario-based experiments and two field studies are conducted in which the cause of the stockout, product type, and sales level are manipulated at different levels. The results of the studies provide the following primary insights- 1) Consumers infer popularity of the product when the product is OOS due to high demand or when the sales level is high 2) Consumers infer uniqueness of the product when the product is OOS due to short supply but not when sales level is low 3) As the perceived popularity of utilitarian products or the perceived uniqueness of hedonic products increases, consumers' propensity to switch stores to purchase the OOS products increases 4) Consumers’ intention to spread negative word of mouth decreases when the cause of OOS or a high sales level is specified. Retailers can influence behavioral outcomes by specifying the cause of stockout tailored according to the type of product, or by providing sales level information. © 2021 Elsevier Ltd

Engaging Polanyi’s embeddedness–disembeddedness framework, this study explored the work experiences of Bhil children employed in Indian Bt cottonseed GPNs. The innovative visual technique of drawings followed by interviews was used. Migrant children, working under debt bondage, underwent greater exploitation and perennial and severe depersonalized bullying, indicative of commodification of labour and disembeddedness. In contrast, children working in their home villages were not under debt bondage and underwent less exploitation and occasional and mild depersonalized bullying, indicative of how civil society organizations, along with the state, attempt to re-embed economic activities in the social context. Polanyi’s double movement was evident. ‘Place’ emerged as the pivotal factor determining children’s experiences. A ‘protective alliance’ of community controls and social power, associated with in-group affiliations and cohesive ties, stemming from a common village and tribal identity, aided children working at home for Bhil farmers. ‘Asymmetric intergroup inequality’ due to pronounced social identity and class differences, coupled with locational constraints and developmental disadvantage, made migrant children vulnerable targets. Social embeddedness influences how child workers are treated because it forces employers to be ethical and not engage in bullying. However, by shifting production to children’s home villages, there is an attempt to obscure the difference between child labour and child work. Thus, the seeds of disembeddedness are sown through the very act of re-embeddeding, potentially hampering future interventions. © 2021, Springer Nature B.V.

Religion is known for transforming human behaviour in many ways. This research investigates the influence of religiosity on two unrestrained buying constructs; impulsive and compulsive buying. The focus of this paper is on both intrinsic and extrinsic dimensions of religiosity. The first study provides important insights into the differential impact of these two dimensions of religiosity on unrestrained buying constructs. The second study explores the underlying mechanism of the relationship between extrinsic religiosity and unrestrained buying behaviours. Results show a negative relationship of intrinsic religiosity and a positive relationship of extrinsic relationship with unrestrained buying constructs. We also found that this relationship for extrinsic religiosity is mediated by susceptibility to interpersonal influence and moderated by long-term orientation. This research explains the differential impact of religion on unrestrained buying behaviour. © 2020 Elsevier Ltd

The ongoing COVID-19 outbreak has revealed vulnerabilities in global healthcare responses. Research in epidemiology has focused on understanding the effects of countries’ responses on COVID-19 spread. While a growing body of research has focused on understanding the role of macro-level factors on responses to COVID-19, we have a limited understanding of what drives countries’ responses to COVID-19. We lean on organizational learning theory and the extant literature on rare events to propose that governance structure, investment in healthcare infrastructure, and learning from past pandemics influence a country's response regarding reactive and proactive strategies. With data collected from various sources and using an empirical methodology, we find that centralized governance positively affects reactive strategies, while healthcare infrastructure and learning from past pandemics positively influence proactive and reactive strategies. This research contributes to the literature on learning, pandemics, and rare events. © 2020 Elsevier Inc.

The purpose of this paper is to explore the human resource management (HRM) practices adopted by hotels during COVID-19 and to examine the impact of COVID-19 on the wellbeing of hotel employees using qualitative thematic analysis. This study presents HRM practices that organizations can use to effectively manage employees in uncertain times. There is compelling evidence that employee-centered HRM practices strongly impact employee wellbeing. This paper integrates the insights from an HRM framework for wellbeing using a job demands-resources model. The paper identifies themes that confirm and extend existing theories and models of wellbeing. The findings are important for policy makers by offering guidance for managing people effectively during tough times. © 2020 Elsevier Ltd

In an interconnected society, social networks grow through formation of strategic connections based on the hierarchy within the social network. Often, the hierarchy becomes self-reinforcing and the observed valuations of the individuals in the hierarchy become disconnected from the corresponding fundamentals. We propose a network model to characterize the disconnect between the observed and fundamental valuations of entities, where the difference is a function of the linkages across the entities. In a growing social network, new entrants come at every point of time and offer connections to the incumbents based on the observed valuations. Individuals care only about their ranks in the hierarchy of observed valuation. With myopic individuals, network grows in equilibrium, but the associated hierarchy becomes unstable. However, with farsighted individuals, the network growth process is hierarchy-preserving and depending on the structure of seed network, the process may be completely halted by individuals who have incentives to preserve hierarchy. These two mechanisms taken together provide a comprehensive characterization of valuation in a growing inter-connected, hierarchical society. We illustrate an application of the model by analyzing the Indian board interlocking network. Our model enables us to find the hierarchy of the board members’ network and to identify the dispersion in magnitude of network externalities across directors. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Traditionally, hedonic pricing studies focusing on commercial real estate control for spatial effects with macro-location dummy variables, for example, at the MSA or submarket level, and predominantly rely on OLS regression. This approach ignores the importance of micro-location characteristics for predicting sales prices. Additionally, spatial dependencies in transaction prices and error terms violate OLS assumptions. We propose an alternative approach that replaces macro-location dummy variables with four location area characteristic (LAC) variables, defined as population, median home value, homeownership rate, and average land gradient within a polygon of a 20-minute driving distance around each property in our sample. We compare the location dummy and LAC approach using OLS regression, spatial autoregression (SAR), and spatial autoregression with autoregressive errors (SARAR) for a sample of hotels sold between 2015 and 2017. We find models that include LAC variables to have a superior fit to models with MSA dummy variables, irrespective of estimation method. Additionally, the inclusion of individual LAC variables allows a reduction of spatial lags and errors. © 2020 American Real Estate Society

We provide causal evidence that regulation induced product shocks significantly impact aggregate demand and firm performance in pharmaceutical markets. Event study results suggest an average loss between $569 million and $882 million. Affected products lose, on average, $186 million over their remaining effective patent life. This leaves a loss of between $383 million and $696 million attributable to declines in future innovation. Our findings complement research that shows drugs receiving expedited review are more likely to suffer from regulation induced product shocks. Thus, it appears we may be trading off quicker access to drugs today for less innovation tomorrow. Results remain robust to variation across types of relabeling, market sizes, and levels of competition. © 2020 Elsevier B.V.