Person: Somasundaram, Jeeva
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Jeeva
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Somasundaram
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IE University
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IE Business School
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Operations and Business Analytics
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Publication Maladaptive Smartphone Usage(Palgrave Macmillan Cham, 2024-07-30) Zimmermann, Laura; Somasundaram, Jeeva; https://ror.org/02jjdwm75This chapter examines the phenomenon of maladaptive smartphone consumption, considering its detrimental effects on individuals and exploring potential strategies to overcome this behavior. Despite the many beneficial aspects of smartphones, growing concern has been raised about the potential maladaptive nature of excessive smartphone usage. This chapter provides an overview of the literature on this topic. Specifically, we explore the habitual nature of smartphone usage and under what conditions it should be considered maladaptive. We further provide an overview of existing research on adverse consequences of smartphone usage for subjective wellbeing, cognition, academic performance, and employment-related consequences of smartphone overuse as well as social outcomes (e.g., phubbing). To overcome maladaptive smartphone usage, we summarize interventions to reduce smartphone usage based on different mechanisms (e.g., self-control approaches, digital nudges and design frictions, incentives) and highlight measurement issues when researching this topic. We conclude by providing recommendations for policy-makers, researchers, and businesses dealing with maladaptive smartphone consumption. Overall, this book chapter provides a comprehensive examination of maladaptive smartphone consumption, its consequences, and potential solutions. By addressing the multifaceted aspects of this behavior, it offers insights for researchers, firms, and policy-makers alike.Publication Reproducibility in Management Science(Informs, 2023-12-22) Somasundaram, Jeeva; Greiner, Ben; Huber, Christoph; Katok, Elena; Ihsan Ozkes, Ali; https://ror.org/02jjdwm75With the help of more than 700 reviewers, we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hardware and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29% of articles, at least part of the data set was not accessible to the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. These figures represent a significant increase compared with the period before the introduction of the disclosure policy, where only 12% of articles voluntarily provided replication materials, of which 55% could be (largely) reproduced. Substantial heterogeneity in reproducibility rates across different fields is mainly driven by differences in data set accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, and software and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies and suggest potential avenues for enhancing their effectiveness.Publication Raising the AC temperature in the tropics(Elsevier B.V., 2023) Koch, Ingrid; Lim, Noah; Somasundaram, Jeeva; National University of Singapore; https://ror.org/02jjdwm75In tropical countries,air conditioners (ACs) account for a significant fraction of energy consumption. We conduct a randomized control trial to examine how people can best be induced to raise their AC temperature by 2 °C over time,to reduce energy consumption. Subjects were randomly assigned to (1) raise the AC temperature gradually,by 1 °C in period 1 and an additional 1 °C in period 2; (2) increase the temperature by 2 °C in one go during period 2; or (3) a no-incentive control condition. We find that raising AC temperatures gradually worked better in achieving higher AC temperatures during the intervention and post-intervention periods. Energy consumption data confirmed that these higher AC temperatures translated into energy savings. Our findings demonstrate the effectiveness of gradual targets to initiate and sustain behavioral change in energy conservation and other related domains. © 2023Publication Self-Selected Versus Assigned Target to Reduce Smartphone Use and Improve Mental Health: Protocol for a Randomized Controlled Trial(JMIR Publications Inc., 2024) Sharma, Kamal Kant; Sachdeva, Ashish; Somasundaram, Jeeva; International Society of Biomechanics; https://ror.org/02jjdwm75Background: Smartphones have become integral to people’s lives,with a noticeable increase in the average screen time,both on a global scale and,notably,in India. Existing research links mobile consumption to sleep problems,poor physical and mental health,and lower subjective well-being. The comparative effectiveness of monetary incentives given for self-selected versus assigned targets on reducing screen time and thereby improving mental health remains unanswered. Objective: This study aims to assess the impact of monetary incentives and target selection on mobile screen time reduction and mental health. Methods: We designed a 3-armed randomized controlled trial conducted with employees and students at an educational institution in India. The study is conducted digitally over 12 weeks,including baseline (2 weeks),randomization (1 week),intervention (5 weeks),and postintervention (4 week) periods. We emailed the employees and students to inquire about their interest in participation. Those who expressed interest received detailed study information and consent forms. After securing consent,participants were asked to complete the initial survey and provide their mobile screen time during the baseline period. At the beginning of the intervention period,the participants were randomly allocated into 1 of 3 study groups in a 2:2:1 ratio (self-selected vs assigned vs control). Participants in the self-selected group were presented with 3 target options: 10%,20%,and 30%,and they were asked to self-select a target to reduce their mobile screen time from their baseline average mobile screen time. Participants in the assigned group were given a target to reduce their mobile screen time from their baseline average mobile screen time. The assigned target was set as the average of the targets selected by participants in the self-selected group. During the intervention period,participants in the self-selected and assigned group were eligible to receive a monetary incentive of INR (Indian Rupee) 50 (US $0.61) per day for successfully attaining their target. Participants in the control group neither received nor selected a target for reducing their mobile screen time and did not receive any monetary incentives during the intervention period. All participants received information regarding the advantages of reducing mobile screen time. As an incentive,all participants would receive INR 500 (US $6.06) upon completion of the study and a chance to win 1 of 2 lotteries valued at INR 5000 (US $60.55) for consistently sharing their mobile screen time data. Results: Currently,the study intervention is being rolled out. Enrollment occurred between August 21,2023,and September 2,2023; data collection concluded in November 2023. We expect that results will be available by early 2024. Conclusions: The monetary incentives and self-selected versus assigned targets might be effective interventions in reducing mobile screen time among working professionals and students. Trial Registration: AsPredicted 142497; https://aspredicted.org/hr3nn.pdf ©Kamal Kant Sharma,Jeeva Somasundaram,Ashish Sachdeva. Originally published in JMIR Research Protocols (https://www.researchprotocols.org),06.05.2024. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/),which permits unrestricted use,distribution,and reproduction in any medium,provided the original work,first published in JMIR Research Protocols,is properly cited. The complete bibliographic information,a link to the original publication on https://www.researchprotocols.org,as well as this copyright and license information must be included.Publication Adoption of New Technology Vaccines(SAGE Publications, 2023-11-29) Zimmermann, Laura; Somasundaram, Jeeva; Saha, Barsha; Agencia Estatal de Investigación; European Regional Development Fund; https://ror.org/02jjdwm75Extensive research has examined the diffusion of innovations for products that can be trialed, and where the most adverse outcome, if a product fails, is a financial loss. However, less research has explored consumer responses to innovations in highly uncertain contexts characterized by health losses, lack of trialability, and the opportunity to free ride on other's adoption. This research focuses on vaccine decision making as a unique case within such contexts and extends the findings to other domains. Four studies (Ntotal = 1,796; five supplementary studies, Ntotal = 643) test the propositions of a formal model that incorporates uncertainty and others' choices into the adoption decision. The results show that consumers are surprisingly averse to products that are described as employing a new technology (e.g., mRNA technology) and require an “efficacy premium” to compensate for higher perceived uncertainty. However, considerable heterogeneity exists due to individual differences in technology readiness, trust in government, and risk attitudes. Notably, despite the prominent threat of free riding, a social proof nudge (communicating increasing population adoption) effectively reduces aversion to new technology. In this context, social proof information does not merely drive conformity or social learning, but instead increases adoption of new technology by alleviating perceived uncertainty.