During team decision-making practices information is often shared among team members as part of the decision making process. Knowledge sharing involves one team member sharing information so that other team members can encode the knowledge to make their own mental representation of the new information (Huan & Jiang, 2012). Unfortunately, the literature has shown that new information is not always shared between team members during decision making processes (Stasser & Titus, 1985). When teams make decisions without considering all the information available poor decisions can result. This research study tests a team conceptual model derived by Turner (2013) addressing attitudes toward knowledge sharing. Structural equation modeling was conducted to test a portion of Turner’s (2013) team conceptual model. The tested model included the independent variables of psychological safety, team conflict, team cohesion, and transactive memory systems. The dependent variable for the dissertation was knowledge sharing.

<div>Combining rooftop solar with energy storage for off-grid residential operation is restrictively expensive. Historically, operating off-grid requires an 'isolated self-consumption' operating strategy where any excess generation is wasted and to ensure reliability you must install costly, polluting generators or a large amount of energy storage. With the advent of Blockchain technology residents can come together and establish transactive microgrids which have two possible operating strategies: Centralized Energy Sharing (CES) and Interconnected Energy Sharing (IES). The CES strategy proposes that all systems combine their photovoltaic (PV) generation and energy storage systems (ESS) to meet their loads. IES strategy establishes an energy trading system between stand-alone systems which allows buying energy when battery capacity is empty and selling energy when battery capacity is full. Transactive microgrids have been investigated analytically by several sources, none of which consider year-round off-grid operation.</div><div> </div><div>A simulation tool was developed through MATLAB for comparing the three operating strategies: isolated self-consumption, CES, and IES. This simulation tool could easily be incorporated into existing software such as HOMER. </div><div><br></div><div>The effect of several variables on total cost was tested including interconnection type, initial charge, load variability, starting month, number of stand-alone systems, geographic location, and required reliability.</div><div> </div><div>It was found that the CES strategy improves initial cost by 7\% to 10\% compared to the baseline (isolated self-consumption) and IES cases in every simulation. The IES case consistently saved money compared to the baseline, just by a very small amount (less than 1\%). Initial charge was investigated for March, July, and November and was only found to have an effect in November. More research should be done to show the effect of initial charge for every month of the year. Load variability had inconsistent results between the two geographic locations studied, Indianapolis and San Antonio. This result would be improved with an improved load simulation which includes peak shifting. The number of systems did not have a demonstrable effect, giving the same cost whether there were 2 systems or 50 involved in the trading strategies. It may be that only one other system is necessary to receive the benefits from a transactive microgrid. Geographic locations studied (Indianapolis, Indiana; Phoenix, Arizona; Little Rock, Arkansas; and Erie, Pennsylvania) showed a large effect on the total cost with Phoenix being considerably cheaper than any other location and Erie having the highest cost. This result was expected due to each geographic location's load and solar radiation profiles. Required reliability showed a consistent and predictable effect with cost going down as the requirement relaxed and more hours of outage were allowed. </div><div><br></div><div>In order to accomplish off-grid operation with favorable economics it is likely that a system will need to reduce its reliability requirement, adopt energy saving consumption habits, choose a favorable geographic location, and either establish a transactive microgrid or include secondary energy generation and/or storage. </div>

This thesis presents a residential thermostat that enables accurate aggregate load control systems for electricity demand response. The thermostat features a control strategy that can be modeled as a linear time-invariant system for short-term demand response signals from the utility. This control design gives rise to linear time-invariant models of aggregate load control and demand response, which is expected to facilitate the design of more accurate load-based regulation services for electricity interconnections and enable integration of more highly variable renewable electricity generation resources. A key feature of the new thermostat design is the elimination of aggregate short-term load control error observed with existing real-time pricing thermostats as they respond to price signals. / Graduate / 0548 / 0791 / 0544 / dchassin@uvic.ca

With the increased use of technology in society, there are concerns about how reading is affected by the constant access to an incessantly increasing amount of information. The present study examined how reading strategies and resulting memory and comprehension is affected by the belief that information to be remembered would continue to be available. In a within- participant experiment, twenty-seven participants were instructed to read six texts, and led to believe that they would have access to some of the texts while later answering comprehension questions. The results showed that participants spent significantly longer time reading texts they believed would not be accessible later, compared to those they believed they would have access to (p= .0007, d = 0.47). The participants did achieve slightly higher scores on the comprehension questions for the texts they believed they would not have access to, compared to the other condition, but the effect was not significant. The findings have implications for potential changes to reading strategies in response to increased use of technology as an external memory and information storage. I discuss how these strategies could have affected the raise of Fake News, inasmuch as increased information load from the Internet leads to a less meticulous reading style. / Den ökade teknologianvändningen i samhället medför oro kring hur läsande påverkas av den ständiga tillgången till ständigt växande informationsmängder. Syften med föreliggande studie var att undersöka hur lässtrategier påverkas av förväntan om senare informationstillgång. I ett experiment med inompersonsdesign blev tjugosju deltagare instruerade att läsa sex texter, och ledda till att tro att de skulle ha tillgång till några av texterna när de i ett senare moment skulle svara på läsförståelsefrågor. Resultaten visade att deltagare spenderade signifikant längre tid på att läsa texter de inte trodde att de skulle ha tillgång till senare, jämfört med de som de trodde skulle finnas tillgängliga (p= .0007, d = 0.47). Deltagarna fick även högre poäng på läsförståelsefrågorna som baserades på de texter de trott skulle försvinna jämfört med den andra betingelsen, men effekten var ej signifikant). Att endast en liten trend i skillnad mellan läsförståelseresultat uppmättes tros bero på ett undermåligt mätinstrument. Resultaten har implikationer för potentiella förändringar i lässtrategier baserat på ökad tillgång till teknologiska minneshjälpmedel och informationslagringssystem. Vidare diskussion reflekterar över hur dessa strategier kan ha påverkat den ökade spridningen av Fake News, ifall ökad informationsbelastning från internet leder till en mindre noggrann lässtil.

Context. Large-scale software development projects are those consisting of a large number of teams, maybe even spread across multiple locations, and working on large and complex software tasks. That means that neither a team member individually nor an entire team holds all the knowledge about the software being developed and teams have to communicate and coordinate their knowledge. Therefore, teams and team members in large-scale software development projects must acquire and manage expertise as one of the critical resources for high-quality work. Objectives. We aim at understanding whether software teams in different contexts develop transactive memory systems (TMS) and whether well-developed TMS leads to performance benefits as suggested by research conducted in other knowledge-intensive disciplines. Because multiple factors may influence the development of TMS, based on related TMS literature we also suggest to focus on task allocation strategies, task characteristics and management decisions regarding the project structure, team structure and team composition. Methods. We use the data from two large-scale distributed development companies and 9 teams, including quantitative data collected through a survey and qualitative data from interviews to measure transactive memory systems and their role in determining team performance. We measure teams’ TMS with a latent variable model. Finally, we use focus group interviews to analyze different organizational practices with respect to team management, as a set of decisions based on two aspects: team structure and composition, and task allocation. Results. Data from two companies and 9 teams are analyzed and the positive influence of well-developed TMS on team performance is found. We found that in large-scale software development, teams need not only well-developed team’s internal TMS, but also have well- developed and effective team’s external TMS. Furthermore, we identified practices that help of hinder development of TMS in large-scale projects. Conclusions. Our findings suggest that teams working in large-scale software development can achieve performance benefits if transactive memory practices within the team are supported with networking practices in the organization.

Mycorrhizal Networks (MNs) facilitate the exchange of resources including energy, water, nutrients, and information between trees and plants in forest ecosystems. This work explored MNs as an inspiration for new market models in transactive energy networks, which similarly involve exchanges of energy and information between buildings in local communities. Specific insights from the literature on the structure and function of MNs were translated into an energy model with the aim of addressing challenges associated with the proliferation of distributed energy resources (DERs) at the grid edge and the incorporation of DER aggregations into wholesale energy markets. First, a systematic review of bio-inspired computing interventions applied to microgrids and their interactions with modern energy markets established a technical knowledge base within the context of distributed electrical systems. Second, a bio-inspired design process built on this knowledge base to yield a structural and functional blueprint for a computational mycorrhizal energy market simulation. Lastly, that computational model was implemented and simulated on a blockchain-compatible, multi-agent software platform to determine the effect that mycorrhizal strategies have on transactive energy market performance. The structural translation of a mapped ectomycorrhizal network of Douglas-firs in Oregon, USA called the 'wood-wide web' created an effective framework for the organization of a novel mycorrhizal energy market model that enabled participating buildings to redistribute percentages of their energy assets on different competing exchanges throughout a series of week-long simulations. No significant changes in functional performance –- as determined by economic, technical, and ecological metrics – were observed when the mycorrhizal results were compared to those of a baseline transactive energy community without periodic energy asset redistribution. Still, the model itself is determined to be a useful tool for further exploration of innovative, automated strategies for DER integration into modern energy market structures and electrical infrastructure in the age of Web3, especially as new science emerges to better explain trigger and feedback mechanisms for carbon exchange through MNs and how mycorrhizae adapt to changes in the environment. This dissertation concludes with a brief discussion of policy implications and an analysis applying the ecological principles of robustness, biodiversity, and altruism to the collective energy future of the human species. / Doctor of Philosophy / Beneath the forest floor, a network of fungi connects trees and plants and allows them to exchange energy and other resources. This dissertation compares this mycorrhizal network (mycorrhiza = fungus + root) to a group of solar-powered buildings generating energy and exchanging it in a local community marketplace (transactive energy markets). In the analogy, the buildings become the plants, the solar panels become the leaves, and the electrical grid represents the mycorrhizal network. Trees and plants produce their own energy through photosynthesis and then send large portions of it down to the roots, where they can trade it or send it to neighbors via the mycorrhizal network. Similarly, transactive energy markets are designed to allow buildings to sell the energy they produce on-site to neighbors, usually at better rates. This helps address a major infrastructure challenge that is arising with more people adding roof-top solar to their homes. The grid that powers our buildings is old now and it was designed to send power from a central power plant out to its edges where most homes and businesses are located. When too many homes produce solar power at the same time, there is nowhere for it to go, and it can easily overload the grid leading to fires, equipment failures, and power outages. Mycorrhizal networks solve this problem in part through local energy balancing driven by cooperative feedback patterns that have evolved over millennia to sustain forest ecosystems. This work applies scientific findings on the structure and function of mycorrhizal networks (MNs) to energy simulation methods in order to better understand the potential for building bio-inspired energy infrastructure in local communities. Specifically, the mapped structure of a MN of douglas-fir trees in Oregon, USA was adapted into a digital transactive energy market (TEM) model. This adaptation process revealed that a single building can connect to many TEMs simultaneously and that the number of connections can change over time just as symbiotic connections between organisms grow, decay, and adapt to a changing environment. The behavior of MNs in terms of when those connections are added and subtracted informed the functionality of the TEM model, which adds connections when community energy levels are high and subtracts connections when energy levels are low. The resulting 'mycorrhizal' model of the TEM was able to change how much energy each connected household traded on it by changing the number of connections (more connections mean more energy and vice versa). Though the functional performance of the mycorrhizal TEM did not change significantly from that of a typical TEM when they were the context of decentralized computer networks (blockchains) and distributed artificial intelligence. A concluding discussion addresses ways in which elements of this new model could transform energy distribution in communities and improve the resilience of local energy systems in the face of a changing climate.

「兩人」是團隊組成的最小單位，回顧人類社會經濟活動的發展，許多重要的創新，經常是從兩人團隊開始。特別是以創意為核心的任務或作為，更易於以兩人為基礎，個別尋覓契合自我價值觀、專業能力，和人格特質的合作搭檔。雖然兩人團隊是人類社會經濟活動的常態，存在著重要的學理和實務意涵需要探討；但是，目前有關兩人團隊的文獻仍不多見。本研究的目的，即在回應此一文獻缺口，探討兩人團隊創意交融的系絡。 研究採取比較個案研究法，以八個兩人設計團隊進行半結構的深度訪談，正式研究前則進行了兩個前導個案的研究。經彙整訪談逐字稿之文本分析內容後，本研究有三個主要發現。第一，兩人設計團隊創意協作的歷程，從成員對產品核心概念的探索開始，之後會經歷共同建構創意、精緻化創意和實踐創意等過程。而產品核心概念的頓悟，通常是兩人在相近的問題意識下，從參與共享的情境當中浮現。此一情境浮現之頓悟並不專屬哪一方，但又必須仰賴兩人共同參與情境而獲得。第二，友誼是促進兩人設計團隊發展交融記憶系統的重要因素，友誼不僅帶動了兩人從玩票接案到正式形成團隊，同時也在團隊運作過程中，增強交融記憶系統本身的能量。第三，成員會透過不同形式的溝通互動，促進資訊的交流並精緻彼此的創意，這些形式包括了競爭型互動、合作型互動，和基於玩興的互動。 整體而言，本研究拓展了吾人對於兩人團隊及其創意交融的理解，也對團隊經營和團隊創意管理的實務有所貢獻。團隊發展實務上，可培養交融記憶系統成為團隊賴以運作的核心能耐，並透過成員共同參與情境的方式，營造有利於兩人從事創意交融活動的場域。 / ‘Two person’ is a basic unit of the composition of a team. Looking back on the historical development of the social and economic activities of the human, many radical innovations were often invented by two-person teams. Especially, creative workers, based on the two-person team structure, are more likely to search for the right partner that whose vision, value, expertise, and personality are best fit with each other. Despite the research on two-person team could provide valuable theoretical and practical implications for team literature; very little attention has given to such phenomena. Using a multi-case of eight two-person design teams, this dissertation explores the creative collaboration within the two-person teams. Through the qualitative analysis of the data, this dissertation provides three major findings. First, the creative collaboration processes within the two-person team contain four stages which begin exploring the core concept of the product. Then, team members collectively co-construct, elaborate and execute the core concept of the product. The insight of core concept of the product usually emerges from the two persons who have similar problem awareness and collectively engage in a shared context. This insight is not exclusive which party, but must rely on both sides to collectively engage in the shared context to develop. Second, friendship plays an important role for facilitating the development of the team’s transactive memory system (TMS). Friendship not only helps the two persons to build a team, help the team’s TMS function well in the team development processes. Third, members within the two-person team use three kinds of dialogue communication for exchanging information and elaborating creative ideas of the members. The three kinds of dialogue are: competitive dialogue, collaborative dialogue, and playfulness dialogue. Overall, this dissertation extends the current knowledge in management area about the creative collaboration within the two-person teams. Results of this dissertation also contribute to the management for two-person teams and the management of team members’ creative ideas. This dissertation suggests the two-person teams can build TMS as a team’s core capability and engage in shared contexts where beneficial for the creative collaboration.

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許多組織為了建立競爭優勢，運用團隊成員的專業及經驗去解決問題，創造差異化的產品。這個趨勢可以解釋為何團隊的研究目前又開始熱門，特別是團隊知識歷程。“交融記憶系統”（TMS） 就是其中一個著重在瞭解團隊知識歷程的理論架構。“交融記憶系統”的構念，特別強調如何利用和組合分散在個人身上的專業，以幫助我們瞭解知識任務者的團隊如何充分發揮個別成員知識的價值（Lewis,2003） 。透過團隊的交融記憶系統，團隊成員可以建立各自專業，信賴且有效溝通，這似乎正是解決目前產業問題的良方。 Lewis（2003）為了在實務上有效應用交融記憶系統的理論，到各種不同目的與型態的團隊，編制了交融記憶系統量表。這個量表包括“專業”（Specialization）、“信賴”（Credibility）、與“協調”（Coordination）三個分量表，每個分量表各有五個題目，整個量表共有15題的5點李克特式量表。以其研究物件的團隊 來看，此量表可廣泛應用于研發創新團隊、中小型企業與新創公司等，幫助公司預估績效與提高競爭力。 本研究分為兩大部分。第一部分為量化研究，對Lewis（2003）所編量表進行修訂，以用來測量臺灣地區團隊的團隊交融記憶系統：為了驗證本量表效度，本研究收集了大量企業及學生團隊樣本，以統計方法分析績效良好團隊在交融記憶系統量表分數，是否顯著高於績效不彰團隊外，也分析交融記憶系統量表與團隊成員“依附風格” 、“創新行為”、“團隊創意觀念產生”、“成就目標” 之間的相關關係，以確認量表的建構效度。第二部份研究為質性研究，透過對實務團隊的深入訪談與實證，驗證交融記憶系統在成效良好團運作的現況。 本研究第一個成果在成功修訂交融記憶系統量表。修訂後的量表在統計分析後，績效良好團隊的交融記憶系統量表分數，顯著高於績效不彰團；和“依附風格”、“創新行為”、“團隊創意觀念產生”、“成就目標”之間的相關性，也和理論原始架構相符，證實了量表的信效度。本量表將可有效衡量臺灣各式團隊的交融記憶系統。 本研究的第二個成果，透過實務團隊的訪談與實證，驗證了交融記憶系統在國內成效良好團隊運作的現況。文化創意產業的紙風車兒童劇團 ，及TIC100創業競賽的冠軍團隊 ，這兩個成功典範團隊的運作中，雖然成員本身沒有認知到系統的存在，不過都有運作良好的團隊交融記憶系統，再度確認交融記憶系統理論架構在實務上團隊中的運作。 筆者透過成功典範的訪談與適合臺灣量表的建立，希望能做為業界建立與運作團隊時的參考，而對團隊的成功運作有所幫助。 關鍵字：交融記憶系統、團隊、研發、創造力