In the past decade, a fundamental research topic in the information systems (IS) discipline has been to examine the value of online platforms on businesses, society, and consumers, notably in the form of improved efficiency in information sharing, consumer engagement, and increased sales. However, the risks rooted in online platforms may cannibalize the value created, which have received limited attention in the literature and practice. In my dissertation, I attempt to fill this gap in the literature by providing a comprehensive analysis of the risks of online platforms from the angle of these three main entities in the ecosystem with three separate yet related essays. The first essay focuses on the risks for businesses that leverage social media platforms, and assesses how their posting on social media fan pages affects consumers’ decision to purchase and unfollow from the firms. The second essay focuses on the risks of fake news on social media and how social media platforms may use identity verification to reduce online anonymity and combat this increasingly critical social problem. The third essay focuses on estimating the risks of using monetary incentives to motivate consumers to write online product reviews, and examines how such strategy may affect product sales. Our studies have theoretical and practical implications for designing effective online platform information systems. / Business Administration/Management Information Systems

PhD thesis assessing the role of non-randomized studies with randomized in evidence syntheses of health interventions. / Randomized studies (RS) are considered the best source of evidence for knowledge syntheses (e.g., systematic reviews, health technology assessments, health guidelines, among others) about healthcare interventions. Historically, non-randomized studies (NRS) have been usually discarded from knowledge syntheses of interventions due to their intrinsic risk of bias and confounding, and they are used only when RS are considered unfeasible or unethical to conduct. With better research methods in observational studies and new tools for the evaluation of risk of bias, NRS are more likely to be a helpful source of information when used as replacement, sequential, or complementary evidence. This, together with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, provide an opportunity for guiding decisions about using RS and NRS in knowledge synthesis and increasing our certainty in a body of evidence. This work aims to improve research synthesis methods by assessing the role and use of RS and NRS in knowledge syntheses using GRADE. This can help health professionals, researchers, guideline developers, and policy-makers build better and more complete healthcare recommendations. / Thesis / Doctor of Philosophy (PhD) / All recommendations about healthcare interventions (from common medicines to strategies to prevent diseases) should ideally come from an adequate synthesis (e.g., systematic reviews) of the least biased studies. Many researchers and authors of health syntheses consider randomized studies (RS), the ‘gold standard’ to demonstrate if an intervention is truly effective. Unfortunately, they are not always available, feasible, or ethical to conduct. Non-randomized studies (NRS), also called observational studies, can potentially provide complementary evidence for a research question. Unfortunately, they are usually considered of poorer quality because of their intrinsic nature of being prone to bias and confounding. In most circumstances, authors of syntheses discard these types of studies from the outset, without considering their potential for providing evidence that could complement or even replace that from randomized studies. This work aims to improve this situation by offering methods for evaluating the appropriateness of integrating both RS and NRS, guiding authors and researchers in cases where this is possible, hence increasing the certainty in a body of evidence and help all stakeholders reach decisions.

This dissertation aims to provide a deeper understanding of consumer emotions from user-generated content. In the first essay of my dissertation, “Digital Therapy for Negative Consumption Experiences: The Impact of Emotional and Rational Reviews on Review Writers and Readers,” we examine whether the manner in which a consumer writes a review can help them recover from a negative consumption experience, as well as how this influences other review readers. To test these research questions, we use a multimethod approach and collect archival data, field data, and participants’ physiological responses as well as memory recall. We employ machine learning techniques to train multilabel classifiers with review textual data and categorize online reviews into one of the three types: emotional (feelings and emotions), rational (facts, beliefs, and thought processes), and integrated (the combination of the two). We first show that, similar to writing about traumatic life experiences, when a review writer writes an integrated review about a negative experience (compared to when they only express emotional or rational aspects), they feel better afterwards and are more likely to purchase again. We also show that integrated reviews do not any have adverse effects on review readers. Finally, in two controlled experiments, we examine the underlying mechanisms for this positive effect of writing an integrated review on review writers by collecting biophysiological response data (i.e., review writers’ blood pressure and pulse) and by analyzing thought listing data. The results show that writing an integrated review about a negative consumption experience appears to lead to catharsis and cognitive reappraisal of the negative experience, which in turn lead to better outcomes. This research shows that writing online reviews can serve as a digital therapy tool that helps consumers recover from negative consumer experiences and has positive benefits for the involved firms. This has important implications for the design of review systems and for firms, especially in situations where customers have negative experiences with their products and services. The first essay of my dissertation suggests that consumers can benefit by expressing emotions (together with rational thoughts) in their online reviews. In the second essay of my dissertation, “Are Emotions Gendered? Gender Stereotypes in Online Reviews,” we examine whether the domain of online reviews is inclusive enough to allow all consumers to feel free to express their emotions. In this research, we examine whether review readers’ reactions to reviews where writers express their emotion vary with the gender of the review writer. More specifically, we examine how gender stereotypes in general, and the belief that females are more emotional than males in particular, influences review readers’ reactions to reviews as well as the manner in which review writers construct their reviews. We find that even though the domain of online reviews is a relatively private and safe place for consumers to express their evaluations of products and services, a common feature of online review system designs, that is asking review writers to provide an avatar and/or names that might reflect their gender, leads to less favorable reactions to reviews written by women (vs. men) because of gender stereotypes. Further, when the stereotype that women are more emotional than men is made salient before review writing (versus when it is not), female review writers express less emotion, possibly because emotionality has negative associations such as being “irrational,” “overdramatic,” and “sensitive.” This finding is important because other research has shown that reviews that contain more emotion are evaluated more positively by review readers. Most importantly, while we provide evidence that this stereotype is believed and has a negative impact on review writers and readers, we show that it is not true in this context – females are no more emotional than men in review writing contexts.

Tourists' information processing is a dynamic process in that their information use depends on the surrounding context. From tourists' personal characteristics (e.g., age, gender, and travel experience), nature of tourism products (e.g., intangibility and variability), to the development of information technology (e.g., the prevalent usage of mobile devices for information search), a variety of contextual factors are involved when tourists process information for decision-making. Given the importance of online reviews in the hospitality and tourism field as information sources, this dissertation aims to understand the contextual effects of online reviews on tourists' decision-making. By selecting several contextual factors, three independent and interrelated essays examine how tourists' cognitive or behavioral responses to online reviews are affected by those factors. Considering that local search (e.g., looking for nearby restaurants by using "restaurants near me" as a search query) becomes an important context for using online reviews, both Study 1 and 2 focus on the local search context. Study 1 investigates the role of online reviews in the local search context; specifically, how online reviews are used as ranking factors by local search platforms (LSPs), is examined with an analytical approach. Study 2 investigates tourists' processing of online reviews in the local search context; specifically, how online reviews are differently processed in the local search context (e.g., searching for a restaurant that can be visited immediately) compared with the non-local context (e.g., searching for a restaurant that can be visited in a month), is examined by conducting an experiment. Building on Study 2, Study 3 investigates how tourists' processing of online reviews is affected by another contextual factor, the nature of tourism products; specifically, how the variability of tourism products (i.e., their change in quality over time) influences the way tourists process online reviews, is examined through social media analytics. Results of the three essays provide empirical support for the underlying argument of this dissertation: understanding tourists' responses to online reviews depends on factors that transcend their information characteristics. As a whole, the findings of this dissertation suggest the need for considering the surrounding context to further understand how online reviews affect tourists' decision-making. As practical implications, this dissertation discusses the importance of leveraging various types of information about tourists' context (e.g., location accessed from smartphones, and physiological condition accessed through smartwatches). / Doctor of Philosophy / Tourists use online reviews within specific situations. The effects of such reviews on tourists' decision-making are difficult to explain without considering the surrounding contexts. Depending on when (e.g., before or during the trip), where (e.g., at home or destination), or for which products (e.g., restaurants, attractions, or hotels) they use online reviews, even the same online review can be differently perceived by tourists (e.g., how helpful it is). Therefore, the reviews have an increased or reduced influence on their product choices. This dissertation aims to understand the context-dependence of tourist's use of online reviews. The three essays in this dissertation examine how online reviews are used or processed by tourists under certain context: how online reviews affect tourist's decision-making in the local search context (e.g., searching for "restaurants near me" using smartphones during the trip) (Study 1); how tourists process online reviews while relying on reviews for immediately choosing places to visit (Study 2); and how tourists perceive online reviews when they are recently posted (Study 3). The findings confirm the dynamic nature of tourist's use of online reviews and offer several insights for tourism businesses to hone their strategies on marketing online reviews.

No / As part of the multidisciplinary safeguarding team, children’s nurses should have a clear understanding of child protection processes and how they have sometimes lacked a systematic approach. Methods of detecting threats to patient safety in high-risk clinical care can also be employed to analyse child protection processes. This article outlines one tool, known as failure mode and effects analysis, which can be used in a framework that takes into account human factors that can influence an individual’s performance. It discusses how this tool can be used to identify and reduce the potential for failure in the serious case review process, in particular by not attributing blame.

Yes / The paper presents a text analytics framework that analyses online reviews to explore how consumer-perceived negativity corresponding to the supply chain propagates over time and how it affects car sales. In particular, the framework integrates aspect-level sentiment analysis using SentiWordNet, time-series decomposition, and bias-corrected least square dummy variable (LSDVc) – a panel data estimator. The framework facilitates the business community by providing a list of consumers’ contemporary interests in the form of frequently discussed product attributes; quantifying consumer-perceived performance of supply chain (SC) partners and comparing the competitors; and a model assessing various firms’ sales performance. The proposed framework demonstrated to the automobile supply chain using a review dataset received from a renowned car-portal in India. Our findings suggest that consumer-voiced negativity is maximum for dealers and minimum for manufacturing and assembly related features. Firm age, GDP, and review volume significantly influence car sales whereas the sentiments corresponding to SC partners do not. The proposed research framework can help the manufacturers in inspecting their SC partners; realising consumer-cited critical car sales influencers; and accurately predicting the sales, which in turn can help them in better production planning, supply chain management, marketing, and consumer relationships.

Yes / Background Interventions to reduce medicines discontinuity at transitions during and reinforced after discharge are effective. However, few studies have linked hospital-based counseling with onward referral for community pharmacy-based follow-up to support patients' medicines use. Objective To determine the effects of targeted hospital pharmacist counseling on discharge or targeted community pharmacy medicines reviews post-discharge on patients' knowledge of newly started medication. Methods The study was a controlled trial of targeted medicines discharge counseling provided by hospital pharmacists or follow-up post-discharge medicines review provided by community pharmacists compared with usual care (nurse counseling). Outcomes measured using a structured telephone survey conducted at two and four weeks after patients were discharged from hospital. Results Patients who received hospital pharmacist counseling were significantly more likely to report being told the purpose of their new medicine and how to take it versus those receiving usual care. Fewer than half of the patients who were allocated to receive a community pharmacy medicines review received one. Conclusions Patient knowledge of medicines newly prescribed in the hospital was increased by targeted counseling of hospital pharmacists. The findings suggest the need to improve the consistency of the information covered when providing counseling, perhaps by the implementation of a counseling checklist for use by all disciplines of staff involved in patient counseling. The potential of community pharmacy follow-up medicines review is currently undermined by several barriers to uptake. / The full-text of this article will be released for public view at the end of the publisher embargo on 14 May 2017.

Yes / We thank Professors Evans and Wilkins for their interest in our systematic review.(1) We have reached the same conclusion as previous systematic reviews published in 2008(2) and 2014(3) and a review prepared for the New Zealand Ministry for Health in 2009.(4) Even the ‘alternative systematic review’ prepared by Professors Evans and Allen about which we have significant misgivings concludes that ‘larger and rigorous randomised controlled trials of interventions for visual stress are required’.(5) / A response to Professors Evans and Wilkins regarding the systematic review: Griffiths PG, Taylor RH, Henderson LM and Barrett BT (2016) The effect of coloured overlays and lenses on reading: a systematic review of the literature. Ophthalmic & Physiological Optics. 36: 519–544.

Background: The video game industry thrives on innovation and technology, striving to understand player preferences to maintain a competitive edge. Forecasts indicate significant growth, with the virtual reality (VR) gaming market expected to become a major player, driven by technological advancements and rising consumer interest in immersive experiences. However, the current adoption of the VR gaming rate remains low, indicating a substantial gap between interest and actual usage.  Purpose: The purpose of the thesis is to investigate the key game components that influence players’ intention to play VR games while also evaluating the significant role of players' emotions within this context. Additionally, it establishes connections between these game elements and the Technology Acceptance Model (TAM) constructs, providing a comprehensive understanding of the factors shaping VR game acceptance.  Method: The research is grounded in the positivist paradigm, employing a deductive approach and quantitative methodology. It involves the analysis of 657 observations extracted from 200 reviews of two popular VR games on the Steam platform, using content and sentiment analysis techniques. Subsequently, the Baron and Kenny method is employed to explore potential mediations of TAM constructs between players’ sentiments and their intention to play VR games.  Conclusion: The results indicate that players’ sentiments significantly influence the acceptance of VR games. Among the TAM constructs, perceived enjoyment (PE) plays the most pivotal role and is the sole mediator between sentiments and the intention to play. Game elements linked to PE, such as game content, gameplay, and interactivity, tend to elicit positive emotions from players. Conversely, elements associated with perceived ease of use (PEOU), such as bugs, technical performance, and optimization issues, tend to evoke negative sentiments.

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