JBRMR 2056-6271 https://doi.org/10.24052/JBRMR/ 54 Volume 18 Issue 02 2024-04-01

591 https://jbrmr.com/details&cid=591 2024-05-07 This study offers an innovative method for evaluating the effects of assortment changes on retail store revenue, employing the Synthetic Control Method (SCM) with Lasso regression. In response to the limitations of randomized control trials for large-scale interventions, we propose a unique approach using Lasso regression to build synthetic control groups from comparable stores in competitor retailers. This innovative technique overcomes the obstacle of absent control data within the same retailer. Our analysis reveals a remarkable 3.7% increase in retailer revenue after implementing the assortment changes. To confirm the validity of our findings, we conducted placebo studies, solidifying the positive impact of these adjustments. These results advocate embracing the SCM with Lasso regression as a reliable tool for measuring the effects of interventions in the business world, especially when controlled experiments are not feasible. This method empowers retailers to assess the effectiveness of assortment optimization strategies and make data-driven decisions about future changes. Abadie A, Gardeazabal J. (2003). The economic costs of conflict: A case study of the Basque Country. American Economic Review 93: 113–132 Abadie A. 2005. Semiparametric difference‐in‐differences estimators. The Review of Economic Studies 72: 1–19 Athey, S. and Imbens, G.W. (2006), “Identification and Inference in Nonlinear Difference-inDifferences Models”, Econometrica , vol. 74, no. 2, 431-497. Begay, M., Traynor, M., and Glantz, S. (1993), “The Tobacco Industry, State Politics, and Tobacco Education in California”, American Journal of Public Health, vol. 83, no. 9, 1214-1221 Bertrand, M., Duflo, E., and Mullainathan, S. (2004), “How Much Should We Trust Differences-in-Differences Estimates?”, Quarterly Journal of Economics, vol. 119, no. 1, 249-275. Abadie, A. and G. W. Imbens (2011). Bias-corrected matching estimators for average treatment effects. Journal of Business & Economic Statistics 29 (1), 1–11 Abadie, A. and J. L’Hour (2018). A penalized synthetic control estimator for disaggregated data Ando, M. and F. S¨avje (2013). Hypothesis testing with the synthetic control method Botosaru, I. and B. Ferman (2017). On the role of covariates in the synthetic control method Mitze  T, Kosfeld  R, Rode  J, et al.(2020)  Face masks considerably reduce COVID-19 cases in Germany. Proc Natl Acad Sci U S A. 2020;117(51):32293–3230 Dimick  JB, Ryan  AM(2014). Methods for evaluating changes in health care policy: the difference-in-differences approach. JAMA. 2014;312(22):2401–2402. Doudchenko  N, Imbens  GW.(2017)  Balancing, regression, difference-in-differences and synthetic control methods: a synthesis [preprint]. arXiv. 2017. ttp://arxiv.org/abs/1610.07748 Bertrand  M, Duflo  E, Mullainathan(2004)  S. How much should we trust differences-in-differences estimates?  Q J Econ. 2004;119(1):249–275 Ferman  B, Pinto  C. (2019) Inference in differences-in-differences with few treated groups and heteroskedasticity. Rev Econ Stat. 2019;101(3):452–467 Becker  M, Klößner  S(2018). Fast and reliable computation of generalized synthetic controls. Econ Stat. 2018;5:1–19. Cassel, C. M., C.-E. Sarndal, and J. H. Wretman (1976). Some results on generalized difference estimation and generalized regression estimation for finite population. Biometrika 63 (3), 615–620. https://jbrmr.com/cdn/article_file/2024-05-07-00-11-35-AM.pdf Nidhin VC Rahul Prakash Safil PM Impact measurement Synthetic control Assortment Optimization Retail Industry heterogeneous treatment effects hypothesis testing 1756600 216 0

592 https://jbrmr.com/details&cid=592 2024-05-28 The unprecedented nature of technological advancements, emphasis on the need for superior patient care, and evolving workplace dynamics lead to the need for revitalizing various factors that improve motivation for healthcare workers. The study aims to comprehend motivation for healthcare workers through the intricate lens of the Hackman and Oldham model by conducting a job diagnostic survey. Healthcare is a crucial industry where timely delivery of patient care is prioritized, workers often aim to exceed expectations and stay motivated. The conceptual framework of Hackman and Oldham provides insight into understanding the motivational factors of the job design, employee satisfaction in their role, and channel efforts into improving the same. A key application of the survey can be identifying areas of focus and improvement that can significantly improve motivation levels for employees thereby improving their performance and reshaping the healthcare workforce. A novel approach to research has been adopted, as previous studies have extensively focused on health care workers; however, most have overlooked the challenges healthcare office workers face to support the physicians and nurses at hospitals. The originality of the study stems from this finding as healthcare administrative workers face unique challenges that may be absent in other industries, and with the current nature of jobs post the pandemic, employers have found difficulty in retaining talent, keeping workers motivated, and empowering them to perform. This study will lead to both empirical and practical implications, aims to provide insight to future researchers as well as organizational leaders to acknowledge the newer dynamics of the workplace where healthcare office workers face many struggles in their workplace like long hours of working, stressful work environment, and constant pressure to perform as their performance is directly related to patient care and often involves saving lives, leading to lack of work-life balance; and how motivation resolves these issues. The study is performed on healthcare office workers in a North Texas Hospital and Healthcare organization, by surveying them with the Hackman and Oldham instrument to grasp their motivation levels and provide suggestions to the leadership to assist employees to stay motivated and focused. Ali, S. A. M., Said, N. A., Yunus, N. M., Kader, S. F. A., Latif, D. S. A., & Munap, R. (2014). Hackman and Oldham’s Job Characteristics Model to Job Satisfaction. Procedia - Social and Behavioral Sciences, 129(2014), 46–52. Science direct. https://www.sciencedirect.com/science/article/pii/S1877042814028286 Cantarelli, P., Milena Vainieri, & Chiara Seghieri. (2023). The management of healthcare employees’ job satisfaction: optimization analyses from a series of large-scale surveys. 23(1). https://doi.org/10.1186/s12913-023-09426-3 Casey, R., Palla, N., & Palla, K. (2022). EMPLOYEE MOTIVATION BEFORE AND DURING COVID-19 PANDEMIC : THE CASE OF A SMALL RURAL HOSPITAL. International Journal of Business & Public Administration, 19(1). Chiara, P., Luca, C., Annalisa, P., & Chiara, R. (2019). Emotional exhaustion among healthcare professionals : the effects of role ambiguity, work engagement, and professional commitment. Acta Bio Medica : Atenei Parmensis, 90(Suppl 6), 60. Francis Ezieshi Monyei, Pamela Nkechi Ezinwa, Emmanuel Kalu Agbaeze, Ukpere, W. I., Charles Ogechukwu Ugbam, & Vitalis Ndu. (2023). Workplace conflict and the productivity of employees in the healthcare sector: A case study. Corporate Governance and Organizational Behavior Review, 7(3), 70–79. https://doi.org/10.22495/cgobrv7i3p6 Gabriel, K. P., & Aguinis, H. (2022). How to prevent and combat employee burnout and create healthier workplaces during crises and beyond. Business horizons, 65(2), 183-192. Karaferis, D., Aletras, V., Raikou, M., & Niakas, D. (2022). Factors influencing motivation and work engagement of healthcare professionals. Materia Socio-Medica, 34(3), 216–224. https://doi.org/10.5455/msm.2022.34.216-224 Luenendonk, M. (2019, September 23). Understanding The Job Characteristics Model (including Job Enrichment). Cleverism. https://www.cleverism.com/job-characteristics-model/ Sonnentag, S. (2017). A task-level perspective on work engagement : A new approach that helps to differentiate the concepts of engagement and burnout. Burnout Research, 5, 12–20. https://doi.org/10.1016/j.burn.2017.04.001 Wu, Y., Fu, Q., Akbar, S., Samad, S., Comite, U., Bucurean, M., & Badulescu, A. (2022). Reducing healthcare employees’ burnout through ethical leadership : the role of altruism and motivation. International Journal of Environmental Research and Public Health, 19(20), 13102. https://jbrmr.com/cdn/article_file/2024-05-28-19-10-36-PM.pdf Hannah Anush Krithika Ravi Kumar Healthcare office workers job diagnostic survey motivation hybrid and remote work employee engagement productivity patient care job satisfaction. 787928 167 1

593 https://jbrmr.com/details&cid=593 2024-05-28 Purpose: Sustainability plays a crucial part in consumer decision-making in a world that is changing quickly and where social and environmental issues are of utmost significance. With an emphasis on comprehending how sustainable activities affect consumer decisions, this research investigates the relationship between sustainable practices and consumer behaviour.  Methodology: The study uses a positivist research philosophy with a deductive approach. A survey strategy is used, and quantitative research methods are employed. A sample of 50 subjects was selected randomly, and a survey was conducted online. The population is drawn from the UK automotive sector. The questionnaires are designed using Google Forms, and the link is shared using social media. Findings: The research confirms a positive relationship between sustainable practices and consumer behaviour, indicating that customers are choosing more and more goods and services consistent with their sustainability beliefs. The results show a high positive correlation between sustainable practices and customer choice, suggesting that sustainable practices influence consumer choices.  Study contributions and implications: By highlighting the importance of sustainable practices, this study adds to the expanding body of information on sustainability in the context of consumer behaviour. Moreover, the research offers a strong foundation for companies and decision-makers to create plans that suit customer tastes and enhance the sustainability of goods and services. Businesses hoping to prosper in a conscientious market must comprehend customers' behaviour and motives as they seek environmentally friendly solutions. In addition to illuminating the beneficial relationship between sustainable practices and customer behaviour, this study emphasises how urgent it is for companies and decision-makers to prioritise sustainability in their plans and choices. Begum, H., Abbas, K., Alam, A.F., Song, H., Chowdhury, M.T. and Abdul Ghani, AB, 2022. Impact of the COVID-19 pandemic on the environment and socioeconomic viability: a sustainable production chain alternative. foresight, 24(3/4), pp.456-475. Chen, Y., Ghosh, M., Liu, Y. and Zhao, L., 2019. Media coverage of climate change and sustainable product consumption: Evidence from the hybrid vehicle market. Journal of Marketing Research, 56(6), pp.995-1011. Chen, Y., Ghosh, M., Liu, Y. and Zhao, L., 2019. Media coverage of climate change and sustainable product consumption: Evidence from the hybrid vehicle market. Journal of Marketing Research, 56(6), pp.995-1011. Choudhary, N.A., Ramkumar, M., Schoenherr, T., Rana, N.P. and Dwivedi, Y.K., 2023. 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594 https://jbrmr.com/details&cid=594 2024-06-09 The advent of the COVID-19 pandemic triggered changes in the social behavior of individuals and companies, affecting the operations of organizations operating in various economic sectors. Changes in operational processes promoted by retail companies were motivated by changes in consumer purchasing habits. From this perspective, digital technologies belonging to the concept of Industry 4.0 (I4.0) have shown themselves to be promising. Given this scenario, the objective was to identify which operational processes were remodeled, from the perspective of innovation, due to the adoption of new technologies, in particular, Industry 4.0 technologies, in a specific supermarket chain. The method used in the research was a single, exploratory, and qualitative case study. The research results indicated three main changes in operational processes promoted by the company because of the COVID-19 pandemic, namely: the incorporation of remote work for part of the workforce, the implementation of an online sales channel, and the adoption of payment systems via PIX and contactless payments. For such operational changes to be made possible, three types of technologies belonging to the industry 4.0 concept were crucial: cloud computing, big data, and the Internet of Things. Abras. Brazilian Supermarket Association (2021). A remarkable year for an essential sector. Accessed in: 21 nov. 2021, from: https://www.abras.com.br/economia-e-pesquisa/ranking-abras/dados-gerais. Alipio, M. I., Peñalosa, K. M. T., & Unida, J. R. C. (2020). In-store customer traffic and path monitoring in small-scale supermarkets using UWB-based localization and SSD-based detection. 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