199,661 research outputs found

    Artificial Intelligence (AI) and data science-based policy response to COVID-19 in low and middle-income countries

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    Tahir M. Nisar and Henry Agyei-Boapeah discuss how effectively low and middle-income (LMICs) can tackle the challenge of COVID-19 by designing and implementing AI and data science-based policy responses

    Erratum: Cloaking using anisotropic multilayer circular cylinder (AIP Advances (2020) 10 (095312) DOI: 10.1063/5.0012769)

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    Co-author Mehwish Nisar should have had an additional affiliation noted in the byline of our original manuscript.1 The correct affiliations for this manuscript are as listed above

    Personalization and digital social markets: disrupting the capitalist economy

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    Tahir Nisar presents a cogent, compelling account of recent developments and disruptions within the digital economy, and particularly within the industrial and service sectors. Through an original, overarching framework rooted in the concept of personalization and its antecedents, Nisar identifies radically new forms of relationships, both economic and social, among firms and customers. These new relationships are driving major changes in commercial and industrial firms' policies and practices, and in turn, in the entire market economy. E-commerce trading, user-generated content, virtual communities, co-creation, influencer movements, FinTech, and sharing economies have strengthened the hands of consumers and have encouraged developments in cognitive technologies such as AI automation, which in turn create new ways of working and disruptions to traditional capital-labour relations. Ultimately, what emerges from this study is a picture of how digital technologies unleash forces of change that are creating new forms of social and economic sharing arrangements and new forms of social organization.For its empirical depth and and theoretical rigor, this book is essential reading for researchers and students interested in emerging, alternative forms of economics, business, and management, and particularly those interested in the digital economy and the state and future of capitalist markets

    Investor influence in portfolio company growth and development strategy

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    The author empirically investigates these ideas, especially how investors, through a network of contacts, affect portfolio company growth and development

    Impact of PCV10 on nasopharyngeal carriage in children in Pakistan

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    This data set is from the study "Direct and indirect effect of 10 valent pneumococcal vaccines on the nasopharyngeal carriage in children under 2 years of age in Matiari, Pakistan" published in the journal Vaccine which can be accessed from Nisar MI, Ahmed S, Jehan F, Shahid S, Shakoor S, Kabir F, Hotwani A, Munir S, Muhammad S, Khalid F, Althouse B, Hu H, Whitney C, Rodgers G, Klugman K, Ali A, Zaidi AKM, Omer SB, Iqbal N. Direct and indirect effect of 10 valent pneumococcal vaccines on the nasopharyngeal carriage in children under 2 years of age in Matiari, Pakistan. Vaccine. 2021 Jan 6:S0264-410X(20)31662-5. DOI: 10.1016/j.vaccine.2020.12.066. Epub ahead of print. PMID: 33422379. Data was collected for a time-series cross-sectional study exploring the impact of 10-valent Pneumococcal Conjugate Vaccine (PCV10) on nasopharyngeal (NP) carriage in children under 2 years of age from a rural population in Sindh, Pakistan. The study was carried out in two union councils of Matiari - Khyber and Shah Alam Shah Jee Wasi (Latitude 25.680298 / Longitude 68.502711). Data was collected on socio-demographics, clinical characteristics, and vaccination status using an android phone-based application. NP samples were collected using standard World Health Organisation (WHO) techniques, culture and serotyping were done using sequential Multiplex PCR described by the Centre for Disease Control, USA. We looked at the carriage rate of vaccine-type (VT) and non-vaccine type (NVT) serotypes over time in vaccinated and unvaccinated children. We additionally looked at the predictors for pneumococcal carriage. The study showed a high overall pneumococcal carriage in a large sample of 3140 children enrolled from a rural setting in Pakistan over a period of four years. Vaccine type carriage decreased both in the vaccinated and unvaccinated population indicating herd immunity

    Subjectivity in Incentive Pay

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    I investigate the determinants and effects of subjectivity in incentive pay. New forms of incentive pay are increasingly being introduced by company management – for example, bonuses are now linked to wider business goals, such as quality and customer service, company reputation and employee hiring and retention policies, replacing the traditional focus on output or profit measures. A new conceptual work on subjectivity is used to evaluate these incentive pay practices. The analysis shows that a variety of contextual factors influence the organizations to make greater use of subjectivity in incentive pay. I also discuss the performance effects of subjectivity

    Evaluation of subjectivity in incentive pay

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    The study aims to investigate the determinants of subjective bonus payouts in the UK financial industry. Bonuses are increasingly linked to wider business goals, such as quality and customer service, firm reputation and employee hiring and retention policies, thus replacing the traditional focus on output or profit measures. A new conceptual work on subjectivity is used to evaluate these bonus practices. Results indicate that a variety of contextual factors have influenced the firms to make greater use of subjectivity in bonus payouts. Of these, organizational interdependency appeared to be the most forceful factor, followed by management’s strategic focus, long-term investment in intangibles, economic constraints, performance target difficulty, and competition. The analysis suggests that subjectivity acts as a mechanism that aligns the interests of individual employees with the firm’s performance goals. The study also draws attention to the costs of subjectivity in performance evaluation

    Intellectual property securitization and growth capital in retail franchising

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    A retail franchisor needs growth capital so that the brand continues to grow and franchisor–franchisee relations remain strong. However, access to corporate liquidity to fund such franchise growth options is not unlimited. A method of raising finance particularly suited to retail franchisors is intellectual property (IP) securitization that allows companies to account for intangible assets such as intellectual property, royalty and brands and realize their full value. In recent years, a number of large restaurant franchisors have securitized their brands to raise funds, including Dunkin Brands and Domino's Pizza (Domino's). We use property rights approach to show that IP securitization provides mechanisms that explicitly define ownership of intangible assets within the securitization structure and thus enables a company to raise funds against these assets. Using a case study example of a retail franchise IP securitization transaction, we also provide evidence that these mechanisms are not overly restrictive and can be used more widely to help fund retail franchise growth and expansion.<br/

    Attribution modeling in digital advertising: An empirical investigation of the impact of digital sales channels

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    Digital advertising campaigns often are launched across multiple channels, a selection of which may include search, display advertisements, social media, mobile, video, and e-mail. By exposing consumers to advertisement impressions, these channels help consumers make purchase decisions or sign up to an advertised service (Fulgoni, 2016; Yang and Ghose, 2010). To gauge the effectiveness of such advertising campaigns, one must know which media channels or advertising formats have contributed to a purchase conversion. This process is known as attribution. A better understanding of attribution, or assigning conversion credit to the various relevant channels, can serve a number of research and industry purposes. Marketing managers may use such attribution models to interpret the influence of advertisements on consumer behavior and to optimize their advertising campaigns
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