Occupational therapy (OT) and applied behavior analysis (ABA) practitioners often collaborate when working with children and young adults with disabilities (McGinnis, 2013). OT and ABA practitioners are primed to collaborate due to many areas of overlap among each respective scope of practice; however, there is limited research to guide best practice for this collaborative partnership (Welch & Polatajko, 2016). According to a review of OT and ABA literature, in addition to the literature of other community-based, social services, and health care professions, there are four major barriers to interprofessional collaboration (IPC): (1) biases, (2) differing cultures, values, and professional languages, (3) overlaps in scopes of practice, and (4) poor communication and relationship-building skills (Kim et al., 2016; Peck & Norman, 1999; Rice et al., 2010). Due to a limited amount of accessible OT and ABA training interventions on collaboration, there is a need for an online, interactive, educational training to present evidence-based and theoretically-sound solutions for the barriers to collaboration. The proposed program is called Supporting Interprofessional Partnerships: An Educational Training for Collaboration Between Occupational Therapy and Applied Behavior Analysis Practitioners. The program’s educational content targets: (1) the definition, benefits, and barriers to IPC, (2) context-based information on ABA’s culture, values, professional language, and scope of practice, and (3) strategies to improve collaboration with ABA providers. Supporting Interprofessional Partnerships explores the working relationship between OT and ABA to improve collaboration as well as client, family, provider, and organizational outcomes.

In many markets, efficiency depends on the quality of information that participants have. However, participants may face frictions in accessing information, which could result in significant welfare losses. My dissertation studies the causes and consequences of information frictions, focusing on the security analyst market and the public cloud market. The first two chapters investigate how information frictions are generated in the security analyst market. Security analysts observe signals and compete to make forecasts on securities’ earnings, which serve as public information to investors. Here I study how analysts’ incentives affect the quality of information they provide. In Chapter 1, I consider security analysts’ incentives as a whole and estimate them using revealed preference. Security analysts are rewarded for being more accurate than their peers. This reward for relative accuracy leads analysts to distort their forecasts to differentiate themselves, but also disciplines them from being overoptimistic. I structurally estimate a contest model with incomplete information to capture both effects, disentangling the payoffs for relative accuracy, optimism and absolute accuracy. Using the model, I conduct counterfactuals to evaluate policies that reduce analysts’ payoff for relative accuracy. I simulate the effect of these policies on the quality of information in terms of forecast errors and variances. The reward for relative accuracy reduces errors by 33 - 58%, but increases variances by 4%. It is optimal to have moderate competition between the covering analysts of each security. In Chapter 2, I ask where these incentives come from. Are analysts motivated by dynamic incentives of reputation, or by short-term compensation such as bonuses? I show with reduced form evidence that low-reputation analysts may face more incentive to outperform their rivals than high reputation analysts. Building on this, I develop and estimate a dynamic model where analysts compete to build reputation and earn compensation. I find that analysts face a strong reputation-building incentive because high reputation is associated with a much higher fixed wage. Meanwhile, their forecasts have an insignificant impact on their immediate compensation. Chapter 3 studies the consequences of information frictions in the public cloud market. Firms need information about available technologies to make good adoption decisions. Inattentiveness to such information may create stickiness to outdated technology. In a joint project with Sida Peng and Peichun Wang, we study the welfare benefits of firms’ public cloud adoption and the consequence of consumer inertia in this market. We develop a novel demand model that allows for both multiple product choices and continuous quantities on each product. We estimate the model using a proprietary dataset on individual firms’ cloud usage history from a major public cloud provider. The estimated average return on investment in cloud is 2.2 times the cost of investment, which is driven by smaller firms disproportionately benefiting from access to computing resources on the cloud. On the other hand, inertia on the cloud leads to sub-optimal product choices for all firms and reduces welfare from cloud usage by almost 62%. We show that introductory discounts incentivizing firms to try new products can improve both consumer welfare and provider revenue.

Bakgrund: Internationell forskning pekar nästan samstämmigt på ett systematiskt problem med att aktieanalytiker regelbundet misslyckas med att publicera korrekta riktkurser. Aktieanalytikerna tenderar att övervärdera aktier, och deras prognoser stämmer sällan. I litteraturen har det funnits ett antal variabler som samvarierar med den bristande träffsäkerheten. Ett ökat intresse av att handla svenska aktier gör problemet mer påtagligt på den svenska aktiemarknaden. Brister i aktieanalytikernas träffsäkerhet är ett relativt outforskat område på svenska börsnoterade bolag, varför det blir relevant att undersöka. Kunskapsbidraget kan nyttjas av privata och institutionella investerare som har ett intresse av svenska aktier. Syfte: Syftet med studien är att undersöka och analysera träffsäkerheten hos aktieanalytiker när det gäller riktkurser för svenska börsnoterade bolag. Studien syftar också till att undersöka hur olika variabler så som storlek, tillväxt, betavärde, kapitalstruktur, branschtillhörighet och implicit avkastning relaterar till prognosfelet på riktkurserna. Metod: Genom en kvantitativ metod baserad på en deduktiv ansats testas samband mellan aktieanalytikers träffsäkerhet och ett antal variabler som tidigare har påvisats i litteraturen. Paneldata från en sekundärkälla bygger upp studiens empiriska material och potentiella samband mäts med regressionsanalyser för tre olika tidshorisonter. Den beroende variabeln är det absoluta prognosfelet på publicerade riktkurser, och de förklarande variablerna är storlek, tillväxt, betavärde, kapitalstruktur, branschtillhörighet och absolut implicit avkastning. Vidare analyseras eventuell överoptimism hos aktieanalytikerna med hjälp av det relativa prognosfelet och t-tester. Resultat: Studien finner att aktieanalytiker systematiskt misslyckas med att korrekt prognostisera riktkurser på svenska börsnoterade bolag, och det genomsnittliga prognosfelet är 28% efter tre månader, 31% efter sex månader och 36% efter tolv månader. Vidare finner studien att träffsäkerheten är bättre för stora bolag, bolag med låg tillväxt och vid låg absolut implicit avkastning. Resultaten pekar på en systematisk överoptimism då aktiekurserna övervärderas i en mycket hög utsträckning. / Background: International research almost unanimously points to a systematic issue with equity analysts regularly failing to publish accurate target prices. Stock analysts tend to overvalue stocks, and their forecasts are rarely correct. The literature has identified correlations between the lack of accuracy and several variables. Increased interest in Swedish stocks intensifies the problem on the Swedish stock market. The lack of accuracy is a relatively unexplored area on Swedish listed companies, which makes it relevant to study. The knowledge contribution can further benefit private and institutional investors with an interest in Swedish stocks. Purpose: The purpose of the study is to examine and analyze the accuracy of equity analysts in predicting target prices for Swedish listed companies. The study also aims to examine how different variables such as size, growth, beta value, capital structure, industry, and implied return correlates to forecast error of target prices. Methodology: By employing a quantitative method based on a deductive approach, relationships between equity analysts' accuracy and a set of variables previously identified in the literature are tested. Panel data from a secondary source constitute the empirical material of the study, and potential correlations are measured using regression analysis for three different time horizons. The dependent variable is the absolute forecast error of published target prices, and the explanatory variables are size, growth, beta value, capital structure, industry, and absolute implied return. Furthermore, potential over-optimism among equity analysts is analyzed using the relative forecast error and t-tests. Results: The study finds that equity analysts consistently fail to accurately forecast target prices for Swedish listed companies, with an average forecast error of 28% after three months, 31% after six months, and 36% after twelve months. Furthermore, the study finds that accuracy is higher for large companies, companies with low growth, and when the absolute implied return is low. The results indicate a systematic over-optimism, as stock prices are significantly overvalued.

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After Shleifer and Vishny (1997) introduce agency conflicts between controlling insiders and outside investors, a new research trend has emerged, which focuses on controlling insiders' incentives for opportunistic behavior and assumes that controlling insiders may want more opaque corporate information environment to mask their pursuance of private control benefits. However, there are still open issues on the topic of how different controlling shareholder types, such as business group owners, institutional owners and family owners, each affect corporate information environment. Therefore, this study aims to investigate the different roles of controlling ownership types on corporate informational environment. Chapter 1 examines earnings management behaviors of firms affiliated with business groups, using a unique dataset for South Korean business groups (chaebols) between 1993 and 2007. Contrary to predictions of agency theory, we find that group firms are actually less engaged in earnings management than non-group firms, and we offer controlling family's concern for group reputation as an explanation. Group firms are also shown to use more real cash flow-based earnings management than discretionary accruals management. The results are robust with respect to the method of control sample construction, alternative models and group definitions, and endogeneity. There is also evidence that corporate reforms undertaken in the aftermath of the Asian financial crisis, including regulations on auditing and combined group-wide financial reports, appear to have mitigated the use of earnings management by group firms. These results are consistent with the notion that concerns for group reputation may mitigate agency-based opportunistic earnings management behaviors. Chapter 2 examines whether domestic and foreign institutional investors improve corporate transparency in the presence of controlling benefits. We construct the transparency index, as well as its sub-indices based on firm- and market-level information, using group and non-group firm-level data for South Korea between 2001 and 2007. The results show that foreign institutional ownership improves overall corporate transparency, while the effects of domestic institutional ownership are insignificant. This is traceable to sub-index findings that foreign investors are associated with improvement in both firm-level and market-level transparency, while domestic institutional investors are associated with a decrease in firm-level transparency, but with an increase in market-level transparency, which may offset each other. The effects are non-linear for domestic institutional ownership, while those of foreign institutional ownership remain monotonic. These findings are consistent with the notion that domestic institutional investors are conflicted by their role as monitors to boost transparency and by their desire to pursue control benefits by exploiting insider information and promoting selective transparency. Foreign investors, lacking such controlling benefit opportunities, tend to promote general transparency. Chapter 3 examines how the dynamics between family owners and market participants, such as analysts, market makers and investors determine a firm's overall transparency, using South Korean data between 2001 and 2007. Our results show that family ownership has a positive relation with earning-based transparency, while it has a negative relation with market-based transparency. As a result, family ownership seems to have no impact on overall transparency. However, an analysis based on sorting of family ownership shows that firms with less than 30% family ownership show a positive significant relation to overall transparency, but firms with family ownership of 30% or higher have an insignificant relation with overall transparency. This discrepancy may exist because family owners may want to promote corporate transparency through better earning-based information dissemination, but market participants discount such efforts and this discount increases as family ownership increases. / Business Administration/Finance

Transitions occur at many points in a child's educational journey. For children with disabilities, these changes in routine, service providers, and setting may be especially difficult and result in problem behavior. Special education teachers are expected to facilitate a smooth transition from one setting to another, teaching appropriate skills and addressing problem behavior as it arises. Board Certified Behavior Analysts (BCBAs), who have an expertise in problem behavior and skill generalization, are currently under-utilized in schools and could work collaboratively with special education teachers and other stakeholders to make it easier for students with disabilities experiencing a school transition. As only 12.16% of actively licensed BCBAs work in education, the literature on effective collaboration practices between BCBAs and special education teachers, particularly in transition, is scarce. We organized seven Multi Perspectival IPA focus groups, including a pilot study group, made up of 25 special education teachers and administrators who have worked with BCBAs. Results show that a duality exists among special educators in this work- special educators expressed both a genuine desire to work with BCBAs, as well as a desire to be acknowledged and respected for their own work and expertise with students, indicating a complexity in this collaborative relationship. Implications for practice, implications for research, and limitations are discussed.

Analytiker innehar en viktig roll som en informationsintermediär på den finansiella marknaden. Begränsat informationsunderlag samt subjektiva tolkningar kan däremot påverka analytikers träffsäkerhet. Därmed blir det relevant att studera dessa tillkortakommanden.  Syftet med denna uppsats är att förklara hur närhet och kulturell kontext påverkar analytikers riktkursträffsäkerhet. Studien har en deduktivt ansats och ett systemorienterat angreppsätt där närhetsteori, kulturdimensionsteori, institutionell teori och intressentteori är i fokus. Studien har en tvärsnittsdesign, där data från Infront och Refinitiv använts för perioden Q3 2022 till Q3 2023.  Studien kom fram till att svenska analytiker har mer optimistiska men mindre träffsäkra riktkurser på den svenska aktiemarknaden än utländska analytiker. Kunskapsbidraget är att analytiker blir starkt påverkade av sin geografiska omgivning. Utav de valda systemorienterade teorierna kunde endast intressentteorin förklara studiens samband. / Analysts have an important role in the financial market as an information intermediary. Limited information and subjective interpretations do however affect accuracy. Because of that it is relevant to study these shortcomings. The purpose of this essay is to explain how proximity and cultural context effects the analyst´s target price accuracy. The essay has a deductive approach with a system-oriented perspective where proximity theory, cultural dimension theory, institutional theory and stake holder theory is in focus. The study uses a cross-sectional design where data has been gathered from Infront and Refinitiv for period Q3 2022 until Q3 2023. Our essay concluded that Swedish analysts have more optimistic but less accurate target prices in the Swedish stock market then foreign analysts. The research contribution is that analyst is strongly affected by its geographical surroundings. Out of the selected system-oriented theories, only stakeholder-theory could predict the results of the study.