Search results

This research investigates the differential impact of information technology (IT) investments based on their features, such as investment in data management capability, security improvement, IT outsourcing or new IT infrastructure. The Long-Horizon Event Study (LHES) is essential for providing a more appropriate measure of the value of IT investments because firms' strategic decisions often set long-horizon and large-scale organizational goals, and there is inherent uncertainty regarding future cash flows resulting from these investments. Therefore, the authors aim to analyze how announcements of IT investments affect the firm's abnormal stock returns over the long term and to compare the differential impact of different features of IT investment.

The authors gathered IT investment announcements and stock data of listed firms in Korea between 2000 and 2018, and the monthly stock market returns over the 5 years after the announcements. To measure the differential impact of IT investments based on the investment features, the authors separate announcements data into five groups. A LHES is used to estimate the long-term effects of IT investment announcements.

The results indicate that announcements of IT investments had a long-term positive effect on firm performance. Additionally, the findings reveal differential effects of IT investments across industries and investment features. Notably, news of self-developed IT investments and IT investments in the manufacturing industry had significantly positive effects. However, contrary to common belief, announcements of investments in so-called essential IT areas such as data, security, or new IT infrastructure did not yield significant effects.

Although the need for LHES has been emphasized in information systems research, few follow-up studies have been conducted since Barua and Mani (2018). This is primarily due to the challenges associated with collecting large-scale abnormal stock returns data over a long horizon. This research represents the first LHES to investigate the differential impact of IT investments based on their features. By doing so, this study can provide valuable insights for decision-makers within firms, helping them understand the time horizon of market outcomes of IT investments based on their features. Furthermore, this work extends the scope of LHES to comprehend the differential impacts of investment features. For instance, managers need to grasp that so-called essential IT investments, such as data management, security enhancements or new IT infrastructure, may not necessarily generate long-term market value.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

This study introduces a new type of platform recommendation about mutual funds and draws on the signaling theory to conduct a quasi-experimental design to investigate how the platform recommendation influences investors’ investment decisions. Moreover, the authors examine the combined effect of star ratings and the platform recommendation on fund flow and test the investment value of recommended funds.

This study implements a quasi-experimental design based on 1,295 mutual funds traded on Alipay’s online platform to test the hypotheses.

The empirical results show that the recommended funds received higher fund flows from investors when the platform recommendation was established. Moreover, a substitution effect between tag recommendation and star ratings on fund flow was identified. We also uncovered that investing in platform-recommended funds can yield significant and higher fund returns for investors than those without platform recommendations.

Our findings shed new insights into the role of platform recommendations in helping fund investors make investment decisions and contribute to the business of online mutual fund transactions by investigating the effect of platform recommendations on fund flow and performance.

This systematic review aimed to identify and categorize applications using Fast Healthcare Interoperability Resources (FHIR) to support activities outside of direct healthcare provision.

A systematic electronic search was performed, and 53 studies were included after the selection process.

The results show that FHIR is being used to support (1) clinical research (i.e. clinical research based on interventional trials, data interoperability to support clinical research and advanced communication services to support clinical research), (2) public health and (3) medical education. Despite the FHIR potential to support activities outside of direct healthcare provision, some barriers were identified, namely difficulties translating the proposed applications to clinical environments or FHIR technical issues that require further developments.

This study provided a broad review of how FHIR is being applied in clinical activities outside of direct clinical care and identified three major domains, that is, clinical research, public health and medical education, being the first and most representative in terms of number of publications.

Red Riding Hood is said to have been assembled from folktales that pre-date the collector Charles Perrault's 1697 re-telling and initial publishing (Dundes, 1989; Zipes, 1993). Since then, it is a story that has been re-told and re-imagined many times in various media contexts, with Beckett suggesting that it is one of the most familiar icons of Western culture, and a ‘highly effective intertextual referent’ (Beckett, 2002, p. XVI). Even though this story has been generally regarded as a children's tale, adult themes of sexuality and transgression have been explored in modern re-conceptions. In this chapter, we examine the representation of gender and masculinity in commercial media output: the 2011 American film Red Riding Hood (Hardwicke, 2011) and the pilot episode of the NBC series Grimm (2011). In Red Riding Hood, a romantic horror film, the male characters may be regarded as satellites that cluster around the female protagonist, whereas in Grimm, through its generic fusion of police procedural and horror genres, the text plays upon strong established examples of traditional male roles alongside more nuanced and contemporary representations of masculinity. Our analysis explores themes of transformation and heteronormativity and the extent to which the texts challenge or conform to traditional tellings.

Some fairy tale characters have transcended their original fairy tale genre and their influence can be perceived in other fictional genres. One illustration of this is the character of Blue Beard. This story, written by Charles Perrault, was first published in 1697 (Hermansson, 2010, p. 2). It moved through several themes or topics from anxiety to money to the right of the husband and wives (Warner, 2014, p. 82). In Perrault's story, Blue Beard is conceived as a serial killer and a jealous husband. ‘Whatever the medium, whatever the date: in opera, cartoon, X-rated film or graphic novel, he is an archetypal serial murderer, terrifying and yet alluring’ (2015, p. 76).

The influence of this character and examples that carry, at the very least, remnants of Blue Beard can be clearly identified in several contemporary narratives. In the BBC television series The Fall (Cubitt, 2013), Jamie Dornan portrays a serial killer named Paul Spector. Alternatively known as the Belfast Strangler, Spector, like Blue Beard, has a wife and children who are unaware of his murderous spree. Another example of the attempted enforcement of extreme patriarchy can be seen in Cult, the seventh season of Ryan Murphy's American Horror Story anthology series. The season is dedicated to the 2016 US election between Donald Trump and Hillary Clinton (Raddish, 2017). In this fictional narrative Kai Anderson (Evan Peters) symbolises toxic masculinity and models patriarchal archetypes to create a cult and become a senator.

Through a contextual post-structuralist analysis of the aforementioned characters, this chapter intends to examine the representation and evolution of male character under the umbrella of the fairy tale ‘man’.

While government is known to provide political guidance and exercising its executive function, it is also has regulatory powers through laws it enacts. In fostering sustainability, it is important to inquire how government's role can be innovated to facilitate sustainability, particularly in the travel and tourism industry. By reviewing tourism governance literature and mapping governance roles in the travel and tourism industry, this chapter creates a policy framework that underscores a new approach to tourism governance. We underscore that government's role must pivot toward being more developmental than regulatory so that it can effectively stimulate the market to sustainability by fostering value creation, supporting manpower capacitation, ensuring health and safety, and protecting the environment. This can be done if government will not fix the market and promote free market policymaking.

The breadth of research and study on the topic of fairy tales is rich and abundant. However, there exists a gap in the research of the genre where it pertains to the meticulous study of male fairy tale.

The character Hook has enjoyed some status in film including the notable portrayal by Dustin Hoffman in the 1991 film (Spielberg, 1991), this character relied heavily on traditional fairy tale tropes and depicted little in the way of character evolution or progression. Nevertheless, a more progressive and complex version of Hook was depicted in the Once Upon A Time series (2011–2018). This version of the character enjoys not only an extended and complex narrative journey but comprises several layers of nuanced character construction that implores a contemporary exploration thereof.

While Vladimir Propp's dramatis personae stands as, likely, the most prominent model for the study of fairy tales, its comprehensiveness can be called into question when applied to contemporary fairy tale characters. For example, whereas previously the female fairy tale character was confined to the role of damsel in distress, contemporary versions display substantial development in this area. And as illustrated through the complexity of Once Upon A Time's Captain Hook this is not, in contemporary times, confined only to the female character. Consequently, this chapter adapts the Looking Glass paradigm and utilises what the author has termed the Looking Glass Masculinity Matrix as an evaluative tool to unpack the contemporary representation, in line with current societal ideals and/or values.

This chapter shows the prevalence, trends and heterogeneity in maternal smoking around birth in the United Kingdom (UK), focussing on the war and post-war reconstruction period in which there exists surprisingly little systematic data on (maternal) smoking behaviours. Within this context, the authors highlight relevant events, the release of new information about the harms of smoking and changes in (government) policy aimed at reducing smoking prevalence. The authors show stark changes in smoking prevalence over a 30-year period, highlight the onset of the social gradient in smoking as well as genetic heterogeneities in smoking trends.

Dark (Netflix, 2017–2020) is a German-produced science fiction television series, created by Baran bo Odar and Jantje Friese. Set in the geographically ambiguous small town of Winden, Dark is an intricate time-travel saga primarily across different epochs. With its emphasis on uncanny natural settings and fairy tale tropes (such as lost children, mysterious travelers, magical devices, etc.), Dark can easily be interpreted as fairy tale. Central is young Jonas Kahnwald who loses his father and witnesses the mysterious disappearance of a local boy. These traumas lead to shocking truths about his heritage. Jonas is the hero (both victim and seeker, after Propp's definition) though his twisting quest brings him face-to-face with two older versions of himself: The middle-aged Jonas fulfils a mentor/donor role for the younger but is conflicted in his desires to both perpetuate and unpick ‘the knot’. Later, Jonas encounters cataclysmic extremist ‘Adam’, a mature version of himself who acts as antagonist. Thusly, Dark centres White male trauma, agency, and ego to reflect responses to historic cultural trauma (such as the notion of the ‘anti-Heimat’) whilst also critiquing traditional conceptions of masculinity through young Jonas's actions. This chapter maps the interplay and representation of ego and trauma. Through textual analysis and with reference to relevant cultural, psychological, and philosophical scholarship, my exploration follows the threads of what Dark communicates about contemporary German masculinity in the face of trauma and how it reflects Western, White cultural thinking about the self.