2020
DOI: 10.1002/joom.1109
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Product personalization and firm performance: An empirical analysis of the pharmaceutical industry

Abstract: Recent advances in manufacturing and communication technology have made it possible for firms to offer products that are personalized to individual customers’ specifications. While personalizing products leads to benefits for firms, it also requires significant resources, calling into question the financial efficacy of this practice. This situation is especially salient in the pharmaceutical industry, where drugs are personalized to individuals. This type of medicine is expected to account for approximately 50… Show more

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Cited by 21 publications
(18 citation statements)
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“…The robust regression method is used to estimate the models. Robust regression assigns appropriate weights to observations to ensure that outliers do not have undue influence on the results, and hence it can derive stable estimates (Ben-Jebara & Modi, 2021). The robust regression results are presented in Model 1, Model 2, and Model 3 (Table 3).…”
Section: Resultsmentioning
confidence: 99%
“…The robust regression method is used to estimate the models. Robust regression assigns appropriate weights to observations to ensure that outliers do not have undue influence on the results, and hence it can derive stable estimates (Ben-Jebara & Modi, 2021). The robust regression results are presented in Model 1, Model 2, and Model 3 (Table 3).…”
Section: Resultsmentioning
confidence: 99%
“…We self-customized the statements using those adapted factor to affirm the moderation connection. A few control variables, for example, age, risk, and firm-size were additional utilized inspiring from the past studies that considered similar control variables (Abbas & Sağsan, 2019; Bansal, 2005; Ben-Jebara & Modi, 2021; Waheed & Zhang, 2022).…”
Section: Methods and Proceduresmentioning
confidence: 99%
“…Following Ben-Jebara and Modi (2021) and Lind and Mehlum (2010), we perform additional tests to ascertain the significant existence of the curvilinear relationship and organize the results in Table 5. First, we regress the abnormal return on the adj-ES and its squared term to test their joint significance on return performance.…”
Section: Resultsmentioning
confidence: 99%